Merge pull request #18978 from open-webui/dev

0.6.36
chore: format
2025-11-06 16:45:23 -05:00 · 2025-11-06 16:44:33 -05:00 · 2025-11-06 16:42:46 -05:00 · 2025-11-06 16:42:28 -05:00 · 2025-11-06 16:39:07 -05:00 · 2025-11-06 22:38:29 +01:00
462 changed files with 45091 additions and 19792 deletions
@@ -11,7 +11,9 @@ body:

        ## Important Notes

-        - **Before submitting a bug report**: Please check the [Issues](https://github.com/open-webui/open-webui/issues) or [Discussions](https://github.com/open-webui/open-webui/discussions) sections to see if a similar issue has already been reported. If unsure, start a discussion first, as this helps us efficiently focus on improving the project.
+        - **Before submitting a bug report**: Please check the [Issues](https://github.com/open-webui/open-webui/issues) and [Discussions](https://github.com/open-webui/open-webui/discussions) sections to see if a similar issue has already been reported. If unsure, start a discussion first, as this helps us efficiently focus on improving the project. Duplicates may be closed without notice. **Please search for existing issues AND discussions. No matter open or closed.**
+
+        - Check for opened, **but also for (recently) CLOSED issues** as the issue you are trying to report **might already have been fixed on the dev branch!**

        - **Respectful collaboration**: Open WebUI is a volunteer-driven project with a single maintainer and contributors who also have full-time jobs. Please be constructive and respectful in your communication.

@@ -19,13 +21,19 @@ body:

        - **Bug Reproducibility**: If a bug cannot be reproduced using a `:main` or `:dev` Docker setup or with `pip install` on Python 3.11, community assistance may be required. In such cases, we will move it to the "[Issues](https://github.com/open-webui/open-webui/discussions/categories/issues)" Discussions section. Your help is appreciated!

+        - **Scope**: If you want to report a SECURITY VULNERABILITY, then do so through our [GitHub security page](https://github.com/open-webui/open-webui/security).
+
  - type: checkboxes
    id: issue-check
    attributes:
      label: Check Existing Issues
      description: Confirm that you’ve checked for existing reports before submitting a new one.
      options:
-        - label: I have searched the existing issues and discussions.
+        - label: I have searched for any existing and/or related issues.
+          required: true
+        - label: I have searched for any existing and/or related discussions.
+          required: true
+        - label: I have also searched in the CLOSED issues AND CLOSED discussions and found no related items (your issue might already be addressed on the development branch!).
          required: true
        - label: I am using the latest version of Open WebUI.
          required: true
@@ -47,7 +55,7 @@ body:
    id: open-webui-version
    attributes:
      label: Open WebUI Version
-      description: Specify the version (e.g., v0.3.11)
+      description: Specify the version (e.g., v0.6.26)
    validations:
      required: true

@@ -63,7 +71,7 @@ body:
    id: operating-system
    attributes:
      label: Operating System
-      description: Specify the OS (e.g., Windows 10, macOS Sonoma, Ubuntu 22.04)
+      description: Specify the OS (e.g., Windows 10, macOS Sonoma, Ubuntu 22.04, Debian 12)
    validations:
      required: true

@@ -126,6 +134,7 @@ body:
      description: |
        Please provide a **very detailed, step-by-step guide** to reproduce the issue. Your instructions should be so clear and precise that anyone can follow them without guesswork. Include every relevant detail—settings, configuration options, exact commands used, values entered, and any prerequisites or environment variables.  
        **If full reproduction steps and all relevant settings are not provided, your issue may not be addressed.**
+        **If your steps to reproduction are incomplete, lacking detail or not reproducible, your issue can not be addressed.**

      placeholder: |
        Example (include every detail):
@@ -163,5 +172,5 @@ body:
    attributes:
      value: |
        ## Note
-        If the bug report is incomplete or does not follow instructions, it may not be addressed. Ensure that you've followed all the **README.md** and **troubleshooting.md** guidelines, and provide all necessary information for us to reproduce the issue.  
+        **If the bug report is incomplete, does not follow instructions or is lacking details it may not be addressed.** Ensure that you've followed all the **README.md** and **troubleshooting.md** guidelines, and provide all necessary information for us to reproduce the issue.  
        Thank you for contributing to Open WebUI!
@@ -8,10 +8,21 @@ body:
      value: |
        ## Important Notes
        ### Before submitting
-        Please check the [Issues](https://github.com/open-webui/open-webui/issues) or [Discussions](https://github.com/open-webui/open-webui/discussions) to see if a similar request has been posted.
+        
+        Please check the **open AND closed** [Issues](https://github.com/open-webui/open-webui/issues) AND [Discussions](https://github.com/open-webui/open-webui/discussions) to see if a similar request has been posted.
        It's likely we're already tracking it! If you’re unsure, start a discussion post first.
-        This will help us efficiently focus on improving the project.

+        #### Scope
+
+        If your feature request is likely to take more than a quick coding session to implement, test and verify, then open it in the **Ideas** section of the [Discussions](https://github.com/open-webui/open-webui/discussions) instead.
+        **We will close and force move your feature request to the Ideas section, if we believe your feature request is not trivial/quick to implement.**
+        This is to ensure the issues tab is used only for issues, quickly addressable feature requests and tracking tickets by the maintainers.
+        Other feature requests belong in the **Ideas** section of the [Discussions](https://github.com/open-webui/open-webui/discussions).
+        
+        If your feature request might impact others in the community, definitely open a discussion instead and evaluate whether and how to implement it.
+        
+        This will help us efficiently focus on improving the project.
+        
        ### Collaborate respectfully
        We value a **constructive attitude**, so please be mindful of your communication. If negativity is part of your approach, our capacity to engage may be limited. We're here to help if you're **open to learning** and **communicating positively**.

@@ -22,7 +33,6 @@ body:

        We appreciate your time and ask that you **respect ours**.

-
        ### Contributing
        If you encounter an issue, we highly encourage you to submit a pull request or fork the project. We actively work to prevent contributor burnout to maintain the quality and continuity of Open WebUI.

@@ -35,14 +45,22 @@ body:
      label: Check Existing Issues
      description: Please confirm that you've checked for existing similar requests
      options:
-        - label: I have searched the existing issues and discussions.
+        - label: I have searched for all existing **open AND closed** issues and discussions for similar requests. I have found none that is comparable to my request.
+          required: true
+  - type: checkboxes
+    id: feature-scope
+    attributes:
+      label: Verify Feature Scope
+      description: Please confirm the feature's scope is within the described scope
+      options:
+        - label: I have read through and understood the scope definition for feature requests in the Issues section. I believe my feature request meets the definition and belongs in the Issues section instead of the Discussions.
          required: true
  - type: textarea
    id: problem-description
    attributes:
      label: Problem Description
      description: Is your feature request related to a problem? Please provide a clear and concise description of what the problem is.
-      placeholder: "Ex. I'm always frustrated when..."
+      placeholder: "Ex. I'm always frustrated when... / Not related to a problem"
    validations:
      required: true
  - type: textarea
@@ -12,12 +12,6 @@ updates:
      interval: monthly
    target-branch: 'dev'

-  - package-ecosystem: npm
-    directory: '/'
-    schedule:
-      interval: monthly
-    target-branch: 'dev'
-
  - package-ecosystem: 'github-actions'
    directory: '/'
    schedule:
@@ -1,17 +1,20 @@
 # Pull Request Checklist

-### Note to first-time contributors: Please open a discussion post in [Discussions](https://github.com/open-webui/open-webui/discussions) and describe your changes before submitting a pull request.
+### Note to first-time contributors: Please open a discussion post in [Discussions](https://github.com/open-webui/open-webui/discussions) to discuss your idea/fix with the community before creating a pull request, and describe your changes before submitting a pull request.
+
+This is to ensure large feature PRs are discussed with the community first, before starting work on it. If the community does not want this feature or it is not relevant for Open WebUI as a project, it can be identified in the discussion before working on the feature and submitting the PR.

 **Before submitting, make sure you've checked the following:**

- [ ] **Target branch:** Please verify that the pull request targets the `dev` branch.
- [ ] **Description:** Provide a concise description of the changes made in this pull request.
+- [ ] **Target branch:** Verify that the pull request targets the `dev` branch. **Not targeting the `dev` branch will lead to immediate closure of the PR.**
+- [ ] **Description:** Provide a concise description of the changes made in this pull request down below.
 - [ ] **Changelog:** Ensure a changelog entry following the format of [Keep a Changelog](https://keepachangelog.com/) is added at the bottom of the PR description.
- [ ] **Documentation:** Have you updated relevant documentation [Open WebUI Docs](https://github.com/open-webui/docs), or other documentation sources?
+- [ ] **Documentation:** If necessary, update relevant documentation [Open WebUI Docs](https://github.com/open-webui/docs) like environment variables, the tutorials, or other documentation sources.
 - [ ] **Dependencies:** Are there any new dependencies? Have you updated the dependency versions in the documentation?
- [ ] **Testing:** Have you written and run sufficient tests to validate the changes?
+- [ ] **Testing:** Perform manual tests to **verify the implemented fix/feature works as intended AND does not break any other functionality**. Take this as an opportunity to **make screenshots of the feature/fix and include it in the PR description**.
+- [ ] **Agentic AI Code:** Confirm this Pull Request is **not written by any AI Agent** or has at least **gone through additional human review AND manual testing**. If any AI Agent is the co-author of this PR, it may lead to immediate closure of the PR.
 - [ ] **Code review:** Have you performed a self-review of your code, addressing any coding standard issues and ensuring adherence to the project's coding standards?
- [ ] **Prefix:** To clearly categorize this pull request, prefix the pull request title using one of the following:
+- [ ] **Title Prefix:** To clearly categorize this pull request, prefix the pull request title using one of the following:
  - **BREAKING CHANGE**: Significant changes that may affect compatibility
  - **build**: Changes that affect the build system or external dependencies
  - **ci**: Changes to our continuous integration processes or workflows
@@ -73,4 +76,7 @@

 ### Contributor License Agreement

-By submitting this pull request, I confirm that I have read and fully agree to the [Contributor License Agreement (CLA)](/CONTRIBUTOR_LICENSE_AGREEMENT), and I am providing my contributions under its terms.
+By submitting this pull request, I confirm that I have read and fully agree to the [Contributor License Agreement (CLA)](https://github.com/open-webui/open-webui/blob/main/CONTRIBUTOR_LICENSE_AGREEMENT), and I am providing my contributions under its terms.
+
+> [!NOTE]
+> Deleting the CLA section will lead to immediate closure of your PR and it will not be merged in.
@@ -11,7 +11,7 @@ jobs:

    steps:
      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Check for changes in package.json
        run: |
@@ -36,7 +36,7 @@ jobs:
          echo "::set-output name=content::$CHANGELOG_ESCAPED"

      - name: Create GitHub release
-        uses: actions/github-script@v7
+        uses: actions/github-script@v8
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -61,7 +61,7 @@ jobs:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: Trigger Docker build workflow
-        uses: actions/github-script@v7
+        uses: actions/github-script@v8
        with:
          script: |
            github.rest.actions.createWorkflowDispatch({
@@ -27,7 +27,7 @@ jobs:
      HF_TOKEN: ${{ secrets.HF_TOKEN }}
    steps:
      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          lfs: true

@@ -43,7 +43,7 @@ jobs:
          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV

      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Set up QEMU
        uses: docker/setup-qemu-action@v3
@@ -142,7 +142,7 @@ jobs:
          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV

      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Set up QEMU
        uses: docker/setup-qemu-action@v3
@@ -244,7 +244,7 @@ jobs:
          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV

      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Set up QEMU
        uses: docker/setup-qemu-action@v3
@@ -347,7 +347,7 @@ jobs:
          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV

      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Set up QEMU
        uses: docker/setup-qemu-action@v3
@@ -419,6 +419,108 @@ jobs:
          if-no-files-found: error
          retention-days: 1

+  build-slim-image:
+    runs-on: ${{ matrix.runner }}
+    permissions:
+      contents: read
+      packages: write
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - platform: linux/amd64
+            runner: ubuntu-latest
+          - platform: linux/arm64
+            runner: ubuntu-24.04-arm
+
+    steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
+      - name: Prepare
+        run: |
+          platform=${{ matrix.platform }}
+          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
+
+      - name: Checkout repository
+        uses: actions/checkout@v5
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to the Container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata for Docker images (slim tag)
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FULL_IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            type=ref,event=tag
+            type=sha,prefix=git-
+            type=semver,pattern={{version}}
+            type=semver,pattern={{major}}.{{minor}}
+            type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=slim
+          flavor: |
+            latest=${{ github.ref == 'refs/heads/main' }}
+            suffix=-slim,onlatest=true
+
+      - name: Extract metadata for Docker cache
+        id: cache-meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FULL_IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            ${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }}
+          flavor: |
+            prefix=cache-slim-${{ matrix.platform }}-
+            latest=false
+
+      - name: Build Docker image (slim)
+        uses: docker/build-push-action@v5
+        id: build
+        with:
+          context: .
+          push: true
+          platforms: ${{ matrix.platform }}
+          labels: ${{ steps.meta.outputs.labels }}
+          outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
+          cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }}
+          cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max
+          build-args: |
+            BUILD_HASH=${{ github.sha }}
+            USE_SLIM=true
+
+      - name: Export digest
+        run: |
+          mkdir -p /tmp/digests
+          digest="${{ steps.build.outputs.digest }}"
+          touch "/tmp/digests/${digest#sha256:}"
+
+      - name: Upload digest
+        uses: actions/upload-artifact@v4
+        with:
+          name: digests-slim-${{ env.PLATFORM_PAIR }}
+          path: /tmp/digests/*
+          if-no-files-found: error
+          retention-days: 1
+
  merge-main-images:
    runs-on: ubuntu-latest
    needs: [build-main-image]
@@ -433,7 +535,7 @@ jobs:
          IMAGE_NAME: '${{ github.repository }}'

      - name: Download digests
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
        with:
          pattern: digests-main-*
          path: /tmp/digests
@@ -487,7 +589,7 @@ jobs:
          IMAGE_NAME: '${{ github.repository }}'

      - name: Download digests
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
        with:
          pattern: digests-cuda-*
          path: /tmp/digests
@@ -543,7 +645,7 @@ jobs:
          IMAGE_NAME: '${{ github.repository }}'

      - name: Download digests
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
        with:
          pattern: digests-cuda126-*
          path: /tmp/digests
@@ -599,7 +701,7 @@ jobs:
          IMAGE_NAME: '${{ github.repository }}'

      - name: Download digests
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v5
        with:
          pattern: digests-ollama-*
          path: /tmp/digests
@@ -640,3 +742,59 @@ jobs:
      - name: Inspect image
        run: |
          docker buildx imagetools inspect ${{ env.FULL_IMAGE_NAME }}:${{ steps.meta.outputs.version }}
+
+  merge-slim-images:
+    runs-on: ubuntu-latest
+    needs: [build-slim-image]
+    steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
+      - name: Download digests
+        uses: actions/download-artifact@v5
+        with:
+          pattern: digests-slim-*
+          path: /tmp/digests
+          merge-multiple: true
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to the Container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata for Docker images (default slim tag)
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FULL_IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            type=ref,event=tag
+            type=sha,prefix=git-
+            type=semver,pattern={{version}}
+            type=semver,pattern={{major}}.{{minor}}
+            type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=slim
+          flavor: |
+            latest=${{ github.ref == 'refs/heads/main' }}
+            suffix=-slim,onlatest=true
+
+      - name: Create manifest list and push
+        working-directory: /tmp/digests
+        run: |
+          docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
+            $(printf '${{ env.FULL_IMAGE_NAME }}@sha256:%s ' *)
+
+      - name: Inspect image
+        run: |
+          docker buildx imagetools inspect ${{ env.FULL_IMAGE_NAME }}:${{ steps.meta.outputs.version }}
@@ -30,10 +30,10 @@ jobs:
          - 3.12.x

    steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5

      - name: Set up Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
        with:
          python-version: '${{ matrix.python-version }}'

@@ -24,10 +24,10 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout Repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Setup Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
        with:
          node-version: '22'

@@ -51,10 +51,10 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout Repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5

      - name: Setup Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
        with:
          node-version: '22'

@@ -16,15 +16,15 @@ jobs:
      id-token: write
    steps:
      - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
        with:
          fetch-depth: 0
      - name: Install Git
        run: sudo apt-get update && sudo apt-get install -y git
-      - uses: actions/setup-node@v4
+      - uses: actions/setup-node@v5
        with:
          node-version: 22
-      - uses: actions/setup-python@v5
+      - uses: actions/setup-python@v6
        with:
          python-version: 3.11
      - name: Build
@@ -5,6 +5,482 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

+## [0.6.36] - 2025-11-07
+
+### Added
+
+- 🔐 OAuth group parsing now supports configurable separators via the "OAUTH_GROUPS_SEPARATOR" environment variable, enabling proper handling of semicolon-separated group claims from providers like CILogon. [#18987](https://github.com/open-webui/open-webui/pull/18987), [#18979](https://github.com/open-webui/open-webui/issues/18979)
+
+### Fixed
+
+- 🛠️ Tool calling functionality is restored by correcting asynchronous function handling in tool parameter updates. [#18981](https://github.com/open-webui/open-webui/issues/18981)
+- 🖼️ The ComfyUI image edit workflow editor modal now opens correctly when clicking the Edit button. [#18978](https://github.com/open-webui/open-webui/issues/18978)
+- 🔥 Firecrawl import errors are resolved by implementing lazy loading and using the correct class name. [#18973](https://github.com/open-webui/open-webui/issues/18973)
+- 🔌 Socket.IO CORS warning is resolved by properly configuring CORS origins for Socket.IO connections. [Commit](https://github.com/open-webui/open-webui/commit/639d26252e528c9c37a5f553b11eb94376d8792d)
+
+## [0.6.35] - 2025-11-06
+
+### Added
+
+- 🖼️ Image generation system received a comprehensive overhaul with major new capabilities including full image editing support allowing users to modify existing images using text prompts with OpenAI, Gemini, or ComfyUI engines, adding Gemini 2.5 Flash Image (Nano Banana) support, Qwen Image Edit integration, resolution of base64-encoded image display issues, streamlined AUTOMATIC1111 configuration by consolidating parameters into a flexible JSON parameters field, and enhanced UI with a code editor modal for ComfyUI workflow management. [#17434](https://github.com/open-webui/open-webui/pull/17434), [#16976](https://github.com/open-webui/open-webui/issues/16976), [Commit](https://github.com/open-webui/open-webui/commit/8e5690aab4f632a57027e2acf880b8f89a8717c0), [Commit](https://github.com/open-webui/open-webui/commit/72f8539fd2e679fec0762945f22f4b8a6920afa0), [Commit](https://github.com/open-webui/open-webui/commit/8d34fcb586eeee1fac6da2f991518b8a68b00b72), [Commit](https://github.com/open-webui/open-webui/commit/72900cd686de1fa6be84b5a8a2fc857cff7b91b8)
+- 🔒 CORS origin validation was added to WebSocket connections as a defense-in-depth security measure against cross-site WebSocket hijacking attacks. [#18411](https://github.com/open-webui/open-webui/pull/18411), [#18410](https://github.com/open-webui/open-webui/issues/18410)
+- 🔄 Automatic page refresh now occurs when a version update is detected via WebSocket connection, ensuring users always run the latest version without cache issues. [Commit](https://github.com/open-webui/open-webui/commit/989f192c92d2fe55daa31336e7971e21798b96ae)
+- 🐍 Experimental initial preparations for Python 3.13 compatibility by updating dependencies with security enhancements and cryptographic improvements. [#18430](https://github.com/open-webui/open-webui/pull/18430), [#18424](https://github.com/open-webui/open-webui/pull/18424)
+- ⚡ Image compression now preserves the original image format instead of converting to PNG, significantly reducing file sizes and improving chat loading performance. [#18506](https://github.com/open-webui/open-webui/pull/18506)
+- 🎤 Mistral Voxtral model support was added for text-to-speech, including voxtral-small and voxtral-mini models with both transcription and chat completion API support. [#18934](https://github.com/open-webui/open-webui/pull/18934)
+- 🔊 Text-to-speech now uses a global audio queue system to prevent overlapping playback, ensuring only one TTS instance plays at a time with proper stop/start controls and automatic cleanup when switching between messages. [#16152](https://github.com/open-webui/open-webui/pull/16152), [#18744](https://github.com/open-webui/open-webui/pull/18744), [#16150](https://github.com/open-webui/open-webui/issues/16150)
+- 🔊 ELEVENLABS_API_BASE_URL environment variable now allows configuration of custom ElevenLabs API endpoints, enabling support for EU residency API requirements. [#18402](https://github.com/open-webui/open-webui/issues/18402)
+- 🔐 OAUTH_ROLES_SEPARATOR environment variable now allows custom role separators for OAuth roles that contain commas, useful for roles specified in LDAP syntax. [#18572](https://github.com/open-webui/open-webui/pull/18572)
+- 📄 External document loaders can now optionally forward user information headers when ENABLE_FORWARD_USER_INFO_HEADERS is enabled, enabling cost tracking, audit logs, and usage analytics for external services. [#18731](https://github.com/open-webui/open-webui/pull/18731)
+- 📄 MISTRAL_OCR_API_BASE_URL environment variable now allows configuration of custom Mistral OCR API endpoints for flexible deployment options. [Commit](https://github.com/open-webui/open-webui/commit/415b93c7c35c2e2db4425e6da1b88b3750f496b0)
+- ⌨️ Keyboard shortcut hints are now displayed on sidebar buttons with a refactored shortcuts modal that accurately reflects all available hotkeys across different keyboard layouts. [#18473](https://github.com/open-webui/open-webui/pull/18473)
+- 🛠️ Tooltips now display tool descriptions when hovering over tool names on the model edit page, improving usability and providing immediate context. [#18707](https://github.com/open-webui/open-webui/pull/18707)
+- 📝 "Create a new note" from the search modal now immediately creates a new private note and opens it in the editor instead of navigating to the generic notes page. [#18255](https://github.com/open-webui/open-webui/pull/18255)
+- 🖨️ Code block output now preserves whitespace formatting with monospace font to accurately reflect terminal behavior. [#18352](https://github.com/open-webui/open-webui/pull/18352)
+- ✏️ Edit button is now available in the three-dot menu of models in the workspace section for quick access to model editing, with the menu reorganized for better user experience and Edit, Clone, Copy Link, and Share options logically grouped. [#18574](https://github.com/open-webui/open-webui/pull/18574)
+- 📌 Sidebar models section is now collapsible, allowing users to expand and collapse the pinned models list for better sidebar organization. [Commit](https://github.com/open-webui/open-webui/commit/82c08a3b5d189f81c96b6548cc872198771015b0)
+- 🌙 Dark mode styles for select elements were added using Tailwind CSS classes, improving consistency across the interface. [#18636](https://github.com/open-webui/open-webui/pull/18636)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Translations for Portuguese (Brazil), Greek, German, Traditional Chinese, Simplified Chinese, Spanish, Georgian, Danish, and Estonian were enhanced and expanded.
+
+### Fixed
+
+- 🔒 Server-Sent Event (SSE) code injection vulnerability in Direct Connections is resolved by blocking event emission from untrusted external model servers; event emitters from direct connected model servers are no longer supported, preventing arbitrary JavaScript execution in user browsers. [Commit](https://github.com/open-webui/open-webui/commit/8af6a4cf21b756a66cd58378a01c60f74c39b7ca)
+- 🛡️ DOM XSS vulnerability in "Insert Prompt as Rich Text" is resolved by sanitizing HTML content with DOMPurify before rendering. [Commit](https://github.com/open-webui/open-webui/commit/eb9c4c0e358c274aea35f21c2856c0a20051e5f1)
+- ⚙️ MCP server cancellation scope corruption is prevented by reversing disconnection order to follow LIFO and properly handling exceptions, resolving 100% CPU usage when resuming chats with expired tokens or using multiple streamable MCP servers. [#18537](https://github.com/open-webui/open-webui/pull/18537)
+- 🔧 UI freeze when querying models with knowledge bases containing inconsistent distance metrics is resolved by properly initializing the distances array in citations. [#18585](https://github.com/open-webui/open-webui/pull/18585)
+- 🤖 Duplicate model IDs from multiple OpenAI endpoints are now automatically deduplicated server-side, preventing frontend crashes for users with unified gateway proxies that aggregate multiple providers. [Commit](https://github.com/open-webui/open-webui/commit/fdf7ca11d4f3cc8fe63e81c98dc0d1e48e52ba36)
+- 🔐 Login failures with passwords longer than 72 bytes are resolved by safely truncating oversized passwords for bcrypt compatibility. [#18157](https://github.com/open-webui/open-webui/issues/18157)
+- 🔐 OAuth 2.1 MCP tool connections now automatically re-register clients when stored client IDs become stale, preventing unauthorized_client errors after editing tool endpoints and providing detailed error messages for callback failures. [#18415](https://github.com/open-webui/open-webui/pull/18415), [#18309](https://github.com/open-webui/open-webui/issues/18309)
+- 🔓 OAuth 2.1 discovery, metadata fetching, and dynamic client registration now correctly use HTTP proxy environment variables when trust_env is enabled. [Commit](https://github.com/open-webui/open-webui/commit/bafeb76c411483bd6b135f0edbcdce048120f264)
+- 🔌 MCP server connection failures now display clear error messages in the chat interface instead of silently failing. [#18892](https://github.com/open-webui/open-webui/pull/18892), [#18889](https://github.com/open-webui/open-webui/issues/18889)
+- 💬 Chat titles are now properly generated even when title auto-generation is disabled in interface settings, fixing an issue where chats would remain labeled as "New chat". [#18761](https://github.com/open-webui/open-webui/pull/18761), [#18717](https://github.com/open-webui/open-webui/issues/18717), [#6478](https://github.com/open-webui/open-webui/issues/6478)
+- 🔍 Chat query errors are prevented by properly validating and handling the "order_by" parameter to ensure requested columns exist. [#18400](https://github.com/open-webui/open-webui/pull/18400), [#18452](https://github.com/open-webui/open-webui/pull/18452)
+- 🔧 Root-level max_tokens parameter is no longer dropped when proxying to Ollama, properly converting to num_predict to limit output token length as intended. [#18618](https://github.com/open-webui/open-webui/issues/18618)
+- 🔑 Self-hosted Marker instances can now be used without requiring an API key, while keeping it optional for datalab Marker service users. [#18617](https://github.com/open-webui/open-webui/issues/18617)
+- 🔧 OpenAPI specification endpoint conflict between "/api/v1/models" and "/api/v1/models/" is resolved by changing the models router endpoint to "/list", preventing duplicate operationId errors when generating TypeScript API clients. [#18758](https://github.com/open-webui/open-webui/issues/18758)
+- 🏷️ Model tags are now de-duplicated case-insensitively in both the model selector and workspace models page, preventing duplicate entries with different capitalization from appearing in filter dropdowns. [#18716](https://github.com/open-webui/open-webui/pull/18716), [#18711](https://github.com/open-webui/open-webui/issues/18711)
+- 📄 Docling RAG parameter configuration is now correctly saved in the admin UI by fixing the typo in the "DOCLING_PARAMS" parameter name. [#18390](https://github.com/open-webui/open-webui/pull/18390)
+- 📃 Tika document processing now automatically detects content types instead of relying on potentially incorrect browser-provided mime-types, improving file handling accuracy for formats like RTF. [#18765](https://github.com/open-webui/open-webui/pull/18765), [#18683](https://github.com/open-webui/open-webui/issues/18683)
+- 🖼️ Image and video uploads to knowledge bases now display proper error messages instead of showing an infinite spinner when the content extraction engine does not support these file types. [#18514](https://github.com/open-webui/open-webui/issues/18514)
+- 📝 Notes PDF export now properly detects and applies dark mode styling consistently across both the notes list and individual note pages, with a shared utility function to eliminate code duplication. [#18526](https://github.com/open-webui/open-webui/issues/18526)
+- 💭 Details tags for reasoning content are now correctly identified and rendered even when the same tag is present in user messages. [#18840](https://github.com/open-webui/open-webui/pull/18840), [#18294](https://github.com/open-webui/open-webui/issues/18294)
+- 📊 Mermaid and Vega rendering errors now display inline with the code instead of showing repetitive toast notifications, improving user experience when models generate invalid diagram syntax. [Commit](https://github.com/open-webui/open-webui/commit/fdc0f04a8b7dd0bc9f9dc0e7e30854f7a0eea3e9)
+- 📈 Mermaid diagram rendering errors no longer cause UI unavailability or display error messages below the input box. [#18493](https://github.com/open-webui/open-webui/pull/18493), [#18340](https://github.com/open-webui/open-webui/issues/18340)
+- 🔗 Web search SSL verification is now asynchronous, preventing the website from hanging during web search operations. [#18714](https://github.com/open-webui/open-webui/pull/18714), [#18699](https://github.com/open-webui/open-webui/issues/18699)
+- 🌍 Web search results now correctly use HTTP proxy environment variables when WEB_SEARCH_TRUST_ENV is enabled. [#18667](https://github.com/open-webui/open-webui/pull/18667), [#7008](https://github.com/open-webui/open-webui/discussions/7008)
+- 🔍 Google Programmable Search Engine now properly includes referer headers, enabling API keys with HTTP referrer restrictions configured in Google Cloud Console. [#18871](https://github.com/open-webui/open-webui/pull/18871), [#18870](https://github.com/open-webui/open-webui/issues/18870)
+- ⚡ YouTube video transcript fetching now works correctly when using a proxy connection. [#18419](https://github.com/open-webui/open-webui/pull/18419)
+- 🎙️ Speech-to-text transcription no longer deletes or replaces existing text in the prompt input field, properly preserving any previously entered content. [#18540](https://github.com/open-webui/open-webui/issues/18540)
+- 🎙️ The "Instant Auto-Send After Voice Transcription" setting now functions correctly and automatically sends transcribed text when enabled. [#18466](https://github.com/open-webui/open-webui/issues/18466)
+- ⚙️ Chat settings now load properly when reopening a tab or starting a new session by initializing defaults when sessionStorage is empty. [#18438](https://github.com/open-webui/open-webui/pull/18438)
+- 🔎 Folder tag search in the sidebar now correctly handles folder names with multiple spaces by replacing all spaces with underscores. [Commit](https://github.com/open-webui/open-webui/commit/a8fe979af68e47e4e4bb3eb76e48d93d60cd2a45)
+- 🛠️ Functions page now updates immediately after deleting a function, removing the need for a manual page reload. [#18912](https://github.com/open-webui/open-webui/pull/18912), [#18908](https://github.com/open-webui/open-webui/issues/18908)
+- 🛠️ Native tool calling now properly supports sequential tool calls with shared context, allowing tools to access images and data from previous tool executions in the same conversation. [#18664](https://github.com/open-webui/open-webui/pull/18664)
+- 🎯 Globally enabled actions in the model editor now correctly apply as global instead of being treated as disabled. [#18577](https://github.com/open-webui/open-webui/pull/18577)
+- 📋 Clipboard images pasted via the "{{CLIPBOARD}}" prompt variable are now correctly converted to base64 format before being sent to the backend, resolving base64 encoding errors. [#18432](https://github.com/open-webui/open-webui/pull/18432), [#18425](https://github.com/open-webui/open-webui/issues/18425)
+- 📋 File list is now cleared when switching to models that do not support file uploads, preventing files from being sent to incompatible models. [#18496](https://github.com/open-webui/open-webui/pull/18496)
+- 📂 Move menu no longer displays when folders are empty. [#18484](https://github.com/open-webui/open-webui/pull/18484)
+- 📁 Folder and channel creation now validates that names are not empty, preventing creation of folders or channels with no name and showing an error toast if attempted. [#18564](https://github.com/open-webui/open-webui/pull/18564)
+- 🖊️ Rich text input no longer removes text between equals signs when pasting code with comparison operators. [#18551](https://github.com/open-webui/open-webui/issues/18551)
+- ⌨️ Keyboard shortcuts now display the correct keys for international and non-QWERTY keyboard layouts by detecting the user's layout using the Keyboard API. [#18533](https://github.com/open-webui/open-webui/pull/18533)
+- 🌐 "Attach Webpage" button now displays with correct disabled styling when a model does not support file uploads. [#18483](https://github.com/open-webui/open-webui/pull/18483)
+- 🎚️ Divider no longer displays in the integrations menu when no integrations are enabled. [#18487](https://github.com/open-webui/open-webui/pull/18487)
+- 📱 Chat controls button is now properly hidden on mobile for users without admin or explicit chat control permissions. [#18641](https://github.com/open-webui/open-webui/pull/18641)
+- 📍 User menu, download submenu, and move submenu are now repositioned to prevent overlap with the Chat Controls sidebar when it is open. [Commit](https://github.com/open-webui/open-webui/commit/414ab51cb6df1ab0d6c85ac6c1f2c5c9a5f8e2aa)
+- 🎯 Artifacts button no longer appears in the chat menu when there are no artifacts to display. [Commit](https://github.com/open-webui/open-webui/commit/ed6449d35f84f68dc75ee5c6b3f4748a3fda0096)
+- 🎨 Artifacts view now automatically displays when opening an existing conversation containing artifacts, improving user experience. [#18215](https://github.com/open-webui/open-webui/pull/18215)
+- 🖌️ Formatting toolbar is no longer hidden under images or code blocks in chat and now displays correctly above all message content.
+- 🎨 Layout shift near system instructions is prevented by properly rendering the chat component when system prompts are empty. [#18594](https://github.com/open-webui/open-webui/pull/18594)
+- 📐 Modal layout shift caused by scrollbar appearance is prevented by adding a stable scrollbar gutter. [#18591](https://github.com/open-webui/open-webui/pull/18591)
+- ✨ Spacing between icon and label in the user menu dropdown items is now consistent. [#18595](https://github.com/open-webui/open-webui/pull/18595)
+- 💬 Duplicate prompt suggestions no longer cause the webpage to freeze or throw JavaScript errors by implementing proper key management with composite keys. [#18841](https://github.com/open-webui/open-webui/pull/18841), [#18566](https://github.com/open-webui/open-webui/issues/18566)
+- 🔍 Chat preview loading in the search modal now works correctly for all search results by fixing an index boundary check that previously caused out-of-bounds errors. [#18911](https://github.com/open-webui/open-webui/pull/18911)
+- ♿ Screen reader support was enhanced by wrapping messages in semantic elements with descriptive aria-labels, adding "Assistant is typing" and "Response complete" announcements for improved accessibility. [#18735](https://github.com/open-webui/open-webui/pull/18735)
+- 🔒 Incorrect await call in the OAuth 2.1 flow is removed, eliminating a logged exception during authentication. [#18236](https://github.com/open-webui/open-webui/pull/18236)
+- 🛡️ Duplicate crossorigin attribute in the manifest file was removed. [#18413](https://github.com/open-webui/open-webui/pull/18413)
+
+### Changed
+
+- 🔄 Firecrawl integration was refactored to use the official Firecrawl SDK instead of direct HTTP requests and langchain_community FireCrawlLoader, improving reliability and performance with batch scraping support and enhanced error handling. [#18635](https://github.com/open-webui/open-webui/pull/18635)
+- 📄 MinerU content extraction engine now only supports PDF files following the upstream removal of LibreOffice document conversion in version 2.0.0; users needing to process office documents should convert them to PDF format first. [#18448](https://github.com/open-webui/open-webui/issues/18448)
+
+## [0.6.34] - 2025-10-16
+
+### Added
+
+- 📄 MinerU is now supported as a document parser backend, with support for both local and managed API deployments. [#18306](https://github.com/open-webui/open-webui/pull/18306)
+- 🔒 JWT token expiration default is now set to 4 weeks instead of never expiring, with security warnings displayed in backend logs and admin UI when set to unlimited. [#18261](https://github.com/open-webui/open-webui/pull/18261), [#18262](https://github.com/open-webui/open-webui/pull/18262)
+- ⚡ Page loading performance is improved by preventing unnecessary API requests when sidebar folders are not expanded. [#18179](https://github.com/open-webui/open-webui/pull/18179), [#17476](https://github.com/open-webui/open-webui/issues/17476)
+- 📁 File hash values are now included in the knowledge endpoint response, enabling efficient file synchronization through hash comparison. [#18284](https://github.com/open-webui/open-webui/pull/18284), [#18283](https://github.com/open-webui/open-webui/issues/18283)
+- 🎨 Chat dialog scrollbar visibility is improved by increasing its width, making it easier to use for navigation. [#18369](https://github.com/open-webui/open-webui/pull/18369), [#11782](https://github.com/open-webui/open-webui/issues/11782)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Translations for Catalan, Chinese, Czech, Finnish, German, Kabyle, Korean, Portuguese (Brazil), Spanish, Thai, and Turkish were enhanced and expanded.
+
+### Fixed
+
+- 📚 Focused retrieval mode now works correctly, preventing the system from forcing full context mode and loading all documents in a knowledge base regardless of settings. [#18133](https://github.com/open-webui/open-webui/issues/18133)
+- 🔧 Filter inlet functions now correctly execute on tool call continuations, ensuring parameter persistence throughout tool interactions. [#18222](https://github.com/open-webui/open-webui/issues/18222)
+- 🛠️ External tool servers now properly support DELETE requests with body data. [#18289](https://github.com/open-webui/open-webui/pull/18289), [#18287](https://github.com/open-webui/open-webui/issues/18287)
+- 🗄️ Oracle23ai vector database client now correctly handles variable initialization, resolving UnboundLocalError when retrieving items from collections. [#18356](https://github.com/open-webui/open-webui/issues/18356)
+- 🔧 Model auto-pull functionality now works correctly even when user settings remain unmodified. [#18324](https://github.com/open-webui/open-webui/pull/18324)
+- 🎨 Duplicate HTML content in artifacts is now prevented by improving code block detection logic. [#18195](https://github.com/open-webui/open-webui/pull/18195), [#6154](https://github.com/open-webui/open-webui/issues/6154)
+- 💬 Pinned chats now appear in the Reference Chats list and can be referenced in conversations. [#18288](https://github.com/open-webui/open-webui/issues/18288)
+- 📝 Misleading knowledge base warning text in documents settings is clarified to correctly instruct users about reindexing vectors. [#18263](https://github.com/open-webui/open-webui/pull/18263)
+- 🔔 Toast notifications can now be dismissed even when a modal is open. [#18260](https://github.com/open-webui/open-webui/pull/18260)
+- 🔘 The "Chats" button in the sidebar now correctly toggles chat list visibility without navigating away from the current page. [#18232](https://github.com/open-webui/open-webui/pull/18232)
+- 🎯 The Integrations menu no longer closes prematurely when clicking outside the Valves modal. [#18310](https://github.com/open-webui/open-webui/pull/18310)
+- 🛠️ Tool ID display issues where "undefined" was incorrectly shown in the interface are now resolved. [#18178](https://github.com/open-webui/open-webui/pull/18178)
+- 🛠️ Model management issues caused by excessively long model IDs are now prevented through validation that limits model IDs to 256 characters. [#18125](https://github.com/open-webui/open-webui/issues/18125)
+
+## [0.6.33] - 2025-10-08
+
+### Added
+
+- 🎨 Workspace interface received a comprehensive redesign across Models, Knowledge, Prompts, and Tools sections, featuring reorganized controls, view filters for created vs shared items, tag selectors, improved visual hierarchy, and streamlined import/export functionality. [Commit](https://github.com/open-webui/open-webui/commit/2c59a288603d8c5f004f223ee00fef37cc763a8e), [Commit](https://github.com/open-webui/open-webui/commit/6050c86ab6ef6b8c96dd3f99c62a6867011b67a4), [Commit](https://github.com/open-webui/open-webui/commit/96ecb47bc71c072aa34ef2be10781b042bef4e8c), [Commit](https://github.com/open-webui/open-webui/commit/2250d102b28075a9611696e911536547abb8b38a), [Commit](https://github.com/open-webui/open-webui/commit/23c8f6d507bfee75ab0015a3e2972d5c26f7e9bf), [Commit](https://github.com/open-webui/open-webui/commit/a743b16728c6ae24b8befbc2d7f24eb9e20c4ad5)
+- 🛠️ Functions admin interface received a comprehensive redesign with creator attribution display, ownership filters for created vs shared items, improved organization, and refined styling. [Commit](https://github.com/open-webui/open-webui/commit/f5e1a42f51acc0b9d5b63a33c1ca2e42470239c1)
+- ⚡ Page initialization performance is significantly improved through parallel data loading and optimized folder API calls, reducing initial page load time. [#17559](https://github.com/open-webui/open-webui/pull/17559), [#17889](https://github.com/open-webui/open-webui/pull/17889)
+- ⚡ Chat overview component is now dynamically loaded on demand, reducing initial page bundle size by approximately 470KB and improving first-screen loading speed. [#17595](https://github.com/open-webui/open-webui/pull/17595)
+- 📁 Folders can now be attached to chats using the "#" command, automatically expanding to include all files within the folder for streamlined knowledge base integration. [Commit](https://github.com/open-webui/open-webui/commit/d2cb78179d66dc85188172a08622d4c97a2ea1ee)
+- 📱 Progressive Web App now supports Android share target functionality, allowing users to share web pages, YouTube videos, and text directly to Open WebUI from the system share menu. [#17633](https://github.com/open-webui/open-webui/pull/17633), [#17125](https://github.com/open-webui/open-webui/issues/17125)
+- 🗄️ Redis session storage is now available as an experimental option for OAuth authentication flows via the ENABLE_STAR_SESSIONS_MIDDLEWARE environment variable, providing shared session state across multi-replica deployments to address CSRF errors, though currently only basic Redis setups are supported. [#17223](https://github.com/open-webui/open-webui/pull/17223), [#15373](https://github.com/open-webui/open-webui/issues/15373), [Docs:Commit](https://github.com/open-webui/docs/commit/14052347f165d1b597615370373d7289ce44c7f9)
+- 📊 Vega and Vega-Lite chart visualization renderers are now supported in code blocks, enabling inline rendering of data visualizations with automatic compilation of Vega-Lite specifications. [#18033](https://github.com/open-webui/open-webui/pull/18033), [#18040](https://github.com/open-webui/open-webui/pull/18040), [#18022](https://github.com/open-webui/open-webui/issues/18022)
+- 🔗 OpenAI connections now support custom HTTP headers, enabling users to configure authentication and routing headers for specific deployment requirements. [#18021](https://github.com/open-webui/open-webui/pull/18021), [#9732](https://github.com/open-webui/open-webui/discussions/9732)
+- 🔐 OpenID Connect authentication now supports OIDC providers without email scope via the ENABLE_OAUTH_WITHOUT_EMAIL environment variable, enabling compatibility with identity providers that don't expose email addresses. [#18047](https://github.com/open-webui/open-webui/pull/18047), [#18045](https://github.com/open-webui/open-webui/issues/18045)
+- 🤖 Ollama model management modal now features individual model update cancellation, comprehensive tooltips for all buttons, and streamlined notification behavior to reduce toast spam. [#16863](https://github.com/open-webui/open-webui/pull/16863)
+- ☁️ OneDrive file picker now includes search functionality and "My Organization" pivot for business accounts, enabling easier file discovery across organizational content. [#17930](https://github.com/open-webui/open-webui/pull/17930), [#17929](https://github.com/open-webui/open-webui/issues/17929)
+- 📊 Chat overview flow diagram now supports toggling between vertical and horizontal layout orientations for improved visualization flexibility. [#17941](https://github.com/open-webui/open-webui/pull/17941)
+- 🔊 OpenAI Text-to-Speech engine now supports additional parameters, allowing users to customize TTS behavior with provider-specific options via JSON configuration. [#17985](https://github.com/open-webui/open-webui/issues/17985), [#17188](https://github.com/open-webui/open-webui/pull/17188)
+- 🛠️ Tool server list now displays server name, URL, and type (OpenAPI or MCP) for easier identification and management. [#18062](https://github.com/open-webui/open-webui/issues/18062)
+- 📁 Folders now remember the last selected model, automatically applying it when starting new chats within that folder. [#17836](https://github.com/open-webui/open-webui/issues/17836)
+- 🔢 Ollama embedding endpoint now supports the optional dimensions parameter for controlling embedding output size, compatible with Ollama v0.11.11 and later. [#17942](https://github.com/open-webui/open-webui/pull/17942)
+- ⚡ Workspace knowledge page load time is improved by removing redundant API calls, enhancing overall responsiveness. [#18057](https://github.com/open-webui/open-webui/pull/18057)
+- ⚡ File metadata query performance is enhanced by selecting only relevant columns instead of retrieving entire records, reducing database overhead. [#18013](https://github.com/open-webui/open-webui/pull/18013)
+- 📄 Note PDF exports now include titles and properly render in dark mode with appropriate background colors. [Commit](https://github.com/open-webui/open-webui/commit/216fb5c3db1a223ffe6e72d97aa9551fe0e2d028)
+- 📄 Docling document extraction now supports additional parameters for VLM pipeline configuration, enabling customized vision model settings. [#17363](https://github.com/open-webui/open-webui/pull/17363)
+- ⚙️ Server startup script now supports passing arbitrary arguments to uvicorn, enabling custom server configuration options. [#17919](https://github.com/open-webui/open-webui/pull/17919), [#17918](https://github.com/open-webui/open-webui/issues/17918)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Translations for German, Danish, Spanish, Korean, Portuguese (Brazil), Simplified Chinese, and Traditional Chinese were enhanced and expanded.
+
+### Fixed
+
+- 💬 System prompts are no longer duplicated in chat requests, eliminating confusion and excessive token usage caused by repeated instructions being sent to models. [#17198](https://github.com/open-webui/open-webui/issues/17198), [#16855](https://github.com/open-webui/open-webui/issues/16855)
+- 🔐 MCP OAuth 2.1 authentication now complies with the standard by implementing PKCE with S256 code challenge method and explicitly passing client credentials during token authorization, resolving "code_challenge: Field required" and "client_id: Field required" errors when connecting to OAuth-secured MCP servers. [Commit](https://github.com/open-webui/open-webui/commit/911a114ad459f5deebd97543c13c2b90196efb54), [#18010](https://github.com/open-webui/open-webui/issues/18010), [#18087](https://github.com/open-webui/open-webui/pull/18087)
+- 🔐 OAuth signup flow now handles password hashing correctly by migrating from passlib to native bcrypt, preventing failures when passwords exceed 72 bytes. [#17917](https://github.com/open-webui/open-webui/issues/17917)
+- 🔐 OAuth token refresh errors are resolved by properly registering and storing OAuth clients, fixing "Constructor parameter should be str" exceptions for Google, Microsoft, and OIDC providers. [#17829](https://github.com/open-webui/open-webui/issues/17829)
+- 🔐 OAuth server metadata URL is now correctly accessed via the proper attribute, fixing automatic token refresh and logout functionality for Microsoft OAuth provider when OPENID_PROVIDER_URL is not set. [#18065](https://github.com/open-webui/open-webui/pull/18065)
+- 🔐 OAuth credential decryption failures now allow the application to start gracefully with clear error messages instead of crashing, preventing complete service outages when WEBUI_SECRET_KEY mismatches occur during database migrations or environment changes. [#18094](https://github.com/open-webui/open-webui/pull/18094), [#18092](https://github.com/open-webui/open-webui/issues/18092)
+- 🔐 OAuth 2.1 server discovery now correctly attempts all configured discovery URLs in sequence instead of only trying the first URL. [#17906](https://github.com/open-webui/open-webui/pull/17906), [#17904](https://github.com/open-webui/open-webui/issues/17904), [#18026](https://github.com/open-webui/open-webui/pull/18026)
+- 🔐 Login redirect now correctly honors the redirect query parameter after authentication, ensuring users are returned to their intended destination with query parameters intact instead of defaulting to the homepage. [#18071](https://github.com/open-webui/open-webui/issues/18071)
+- ☁️ OneDrive Business integration authentication regression is resolved, ensuring the popup now properly triggers when connecting to OneDrive accounts. [#17902](https://github.com/open-webui/open-webui/pull/17902), [#17825](https://github.com/open-webui/open-webui/discussions/17825), [#17816](https://github.com/open-webui/open-webui/issues/17816)
+- 👥 Default group settings now persist correctly after page navigation, ensuring configuration changes are properly saved and retained. [#17899](https://github.com/open-webui/open-webui/issues/17899), [#18003](https://github.com/open-webui/open-webui/issues/18003)
+- 📁 Folder data integrity is now verified on retrieval, automatically fixing orphaned folders with invalid parent references and ensuring proper cascading deletion of nested folder structures. [Commit](https://github.com/open-webui/open-webui/commit/5448618dd5ea181b9635b77040cef60926a902ff)
+- 🗄️ Redis Sentinel and Redis Cluster configurations with the experimental ENABLE_STAR_SESSIONS_MIDDLEWARE feature are now properly isolated by making the feature opt-in only, preventing ReadOnlyError failures when connecting to read replicas in multi-node Redis deployments. [#18073](https://github.com/open-webui/open-webui/issues/18073)
+- 📊 Mermaid and Vega diagram rendering now displays error toast notifications when syntax errors are detected, helping users identify and fix diagram issues instead of silently failing. [#18068](https://github.com/open-webui/open-webui/pull/18068)
+- 🤖 Reasoning models that return reasoning_content instead of content no longer cause NoneType errors during chat title generation, follow-up suggestions, and tag generation. [#18080](https://github.com/open-webui/open-webui/pull/18080)
+- 📚 Citation rendering now correctly handles multiple source references in a single bracket, parsing formats like [1,2] and [1, 2] into separate clickable citation links. [#18120](https://github.com/open-webui/open-webui/pull/18120)
+- 🔍 Web search now handles individual source failures gracefully, continuing to process remaining sources instead of failing entirely when a single URL is unreachable or returns an error. [Commit](https://github.com/open-webui/open-webui/commit/e000494e488090c5f66989a2b3f89d3eaeb7946b), [Commit](https://github.com/open-webui/open-webui/commit/53e98620bff38ab9280aee5165af0a704bdd99b9)
+- 🔍 Hybrid search with reranking now handles empty result sets gracefully instead of crashing with ValueError when all results are filtered out due to relevance thresholds. [#18096](https://github.com/open-webui/open-webui/issues/18096)
+- 🔍 Reranking models without defined padding tokens now work correctly by automatically falling back to eos_token_id as pad_token_id, fixing "Cannot handle batch sizes > 1" errors for models like Qwen3-Reranker. [#18108](https://github.com/open-webui/open-webui/pull/18108), [#16027](https://github.com/open-webui/open-webui/discussions/16027)
+- 🔍 Model selector search now correctly returns results for non-admin users by dynamically updating the search index when the model list changes, fixing a race condition that caused empty search results. [#17996](https://github.com/open-webui/open-webui/pull/17996), [#17960](https://github.com/open-webui/open-webui/pull/17960)
+- ⚡ Task model function calling performance is improved by excluding base64 image data from payloads, significantly reducing token count and memory usage when images are present in conversations. [#17897](https://github.com/open-webui/open-webui/pull/17897)
+- 🤖 Text selection "Ask" action now correctly recognizes and uses local models configured via direct connections instead of only showing external provider models. [#17896](https://github.com/open-webui/open-webui/issues/17896)
+- 🛑 Task cancellation API now returns accurate response status, correctly reporting successful cancellations instead of incorrectly indicating failures. [#17920](https://github.com/open-webui/open-webui/issues/17920)
+- 💬 Follow-up query suggestions are now generated and displayed in temporary chats, matching the behavior of saved chats. [#14987](https://github.com/open-webui/open-webui/issues/14987)
+- 🔊 Azure Text-to-Speech now properly escapes special characters like ampersands in SSML, preventing HTTP 400 errors and ensuring audio generation succeeds for all text content. [#17962](https://github.com/open-webui/open-webui/issues/17962)
+- 🛠️ OpenAPI tool server calls with optional parameters now execute successfully even when no arguments are provided, removing the incorrect requirement for a request body. [#18036](https://github.com/open-webui/open-webui/issues/18036)
+- 🛠️ MCP mode tool server connections no longer incorrectly validate the OpenAPI path field, allowing seamless switching between OpenAPI and MCP connection types. [#17989](https://github.com/open-webui/open-webui/pull/17989), [#17988](https://github.com/open-webui/open-webui/issues/17988)
+- 🛠️ Third-party tool responses containing non-UTF8 or invalid byte sequences are now handled gracefully without causing request failures. [#17882](https://github.com/open-webui/open-webui/pull/17882)
+- 🎨 Workspace filter dropdown now correctly renders model tags as strings instead of displaying individual characters, fixing broken filtering interface when models have multiple tags. [#18034](https://github.com/open-webui/open-webui/issues/18034)
+- ⌨️ Ctrl+Enter keyboard shortcut now correctly sends messages in mobile and narrow browser views on Chrome instead of inserting newlines. [#17975](https://github.com/open-webui/open-webui/issues/17975)
+- ⌨️ Tab characters are now preserved when pasting code or formatted text into the chat input box in plain text mode. [#17958](https://github.com/open-webui/open-webui/issues/17958)
+- 📋 Text selection copying from the chat input box now correctly copies only the selected text instead of the entire textbox content. [#17911](https://github.com/open-webui/open-webui/issues/17911)
+- 🔍 Web search query logging now uses debug level instead of info level, preventing user search queries from appearing in production logs. [#17888](https://github.com/open-webui/open-webui/pull/17888)
+- 📝 Debug print statements in middleware were removed to prevent excessive log pollution and respect configured logging levels. [#17943](https://github.com/open-webui/open-webui/issues/17943)
+
+### Changed
+
+- 🗄️ Milvus vector database dependency is updated from pymilvus 2.5.0 to 2.6.2, ensuring compatibility with newer Milvus versions but requiring users on older Milvus instances to either upgrade their database or manually downgrade the pymilvus package. [#18066](https://github.com/open-webui/open-webui/pull/18066)
+
+## [0.6.32] - 2025-09-29
+
+### Added
+
+- ⚡ JSON model import moved to backend processing for significant performance improvements when importing large model files. [#17871](https://github.com/open-webui/open-webui/pull/17871)
+- ⚠️ Visual warnings for group permissions that display when a permission is disabled in a group but remains enabled in the default user role, clarifying inheritance behavior for administrators. [#17848](https://github.com/open-webui/open-webui/pull/17848)
+- 🗄️ Milvus multi-tenancy mode using shared collections with resource ID filtering for improved scalability, mirroring the existing Qdrant implementation and configurable via ENABLE_MILVUS_MULTITENANCY_MODE environment variable. [#17837](https://github.com/open-webui/open-webui/pull/17837)
+- 🛠️ Enhanced tool result processing with improved error handling, better MCP tool result handling, and performance improvements for embedded UI components. [Commit](https://github.com/open-webui/open-webui/commit/4f06f29348b2c9d71c87d1bbe5b748a368f5101f)
+- 👥 New user groups now automatically inherit default group permissions, streamlining the admin setup process by eliminating manual permission configuration. [#17843](https://github.com/open-webui/open-webui/pull/17843)
+- 🗂️ Bulk unarchive functionality for all chats, providing a single backend endpoint to efficiently restore all archived chats at once. [#17857](https://github.com/open-webui/open-webui/pull/17857)
+- 🏷️ Browser tab title toggle setting allows users to control whether chat titles appear in the browser tab or display only "Open WebUI". [#17851](https://github.com/open-webui/open-webui/pull/17851)
+- 💬 Reply-to-message functionality in channels, allowing users to reply directly to specific messages with visual threading and context display. [Commit](https://github.com/open-webui/open-webui/commit/1a18928c94903ad1f1f0391b8ade042c3e60205b)
+- 🔧 Tool server import and export functionality, allowing direct upload of openapi.json and openapi.yaml files as an alternative to URL-based configuration. [#14446](https://github.com/open-webui/open-webui/issues/14446)
+- 🔧 User valve configuration for Functions is now available in the integration menu, providing consistent management alongside Tools. [#17784](https://github.com/open-webui/open-webui/issues/17784)
+- 🔐 Admin permission toggle for controlling public sharing of notes, configurable via USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING environment variable. [#17801](https://github.com/open-webui/open-webui/pull/17801), [Docs:#715](https://github.com/open-webui/docs/pull/715)
+- 🗄️ DISKANN index type support for Milvus vector database with configurable maximum degree and search list size parameters. [#17770](https://github.com/open-webui/open-webui/pull/17770), [Docs:Commit](https://github.com/open-webui/docs/commit/cec50ab4d4b659558ca1ccd4b5e6fc024f05fb83)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Translations for Chinese (Simplified & Traditional) and Bosnian (Latin) were enhanced and expanded.
+
+### Fixed
+
+- 🛠️ MCP tool calls are now correctly routed to the appropriate server when multiple streamable-http MCP servers are enabled, preventing "Tool not found" errors. [#17817](https://github.com/open-webui/open-webui/issues/17817)
+- 🛠️ External tool servers (OpenAPI/MCP) now properly process and return tool results to the model, restoring functionality that was broken in v0.6.31. [#17764](https://github.com/open-webui/open-webui/issues/17764)
+- 🔧 User valve detection now correctly identifies valves in imported tool code, ensuring gear icons appear in the integrations menu for all tools with user valves. [#17765](https://github.com/open-webui/open-webui/issues/17765)
+- 🔐 MCP OAuth discovery now correctly handles multi-tenant configurations by including subpaths in metadata URL discovery. [#17768](https://github.com/open-webui/open-webui/issues/17768)
+- 🗄️ Milvus query operations now correctly use -1 instead of None for unlimited queries, preventing TypeError exceptions. [#17769](https://github.com/open-webui/open-webui/pull/17769), [#17088](https://github.com/open-webui/open-webui/issues/17088)
+- 📁 File upload error messages are now displayed when files are modified during upload, preventing user confusion on Android and Windows devices. [#17777](https://github.com/open-webui/open-webui/pull/17777)
+- 🎨 MessageInput Integrations button hover effect now displays correctly with proper visual feedback. [#17767](https://github.com/open-webui/open-webui/pull/17767)
+- 🎯 "Set as default" label positioning is fixed to ensure it remains clickable in all scenarios, including multi-model configurations. [#17779](https://github.com/open-webui/open-webui/pull/17779)
+- 🎛️ Floating buttons now correctly retrieve message context by using the proper messageId parameter in createMessagesList calls. [#17823](https://github.com/open-webui/open-webui/pull/17823)
+- 📌 Pinned chats are now properly cleared from the sidebar after archiving all chats, ensuring UI consistency without requiring a page refresh. [#17832](https://github.com/open-webui/open-webui/pull/17832)
+- 🗑️ Delete confirmation modals now properly truncate long names for Notes, Prompts, Tools, and Functions to prevent modal overflow. [#17812](https://github.com/open-webui/open-webui/pull/17812)
+- 🌐 Internationalization function calls now use proper Svelte store subscription syntax, preventing "i18n.t is not a function" errors on the model creation page. [#17819](https://github.com/open-webui/open-webui/pull/17819)
+- 🎨 Playground chat interface button layout is corrected to prevent vertical text rendering for Assistant/User role buttons. [#17819](https://github.com/open-webui/open-webui/pull/17819)
+- 🏷️ UI text truncation is improved across multiple components including usernames in admin panels, arena model names, model tags, and filter tags to prevent layout overflow issues. [#17805](https://github.com/open-webui/open-webui/pull/17805), [#17803](https://github.com/open-webui/open-webui/pull/17803), [#17791](https://github.com/open-webui/open-webui/pull/17791), [#17796](https://github.com/open-webui/open-webui/pull/17796)
+
+## [0.6.31] - 2025-09-25
+
+### Added
+
+- 🔌 MCP (streamable HTTP) server support was added alongside existing OpenAPI server integration, allowing users to connect both server types through an improved server configuration interface. [#15932](https://github.com/open-webui/open-webui/issues/15932) [#16651](https://github.com/open-webui/open-webui/pull/16651), [Commit](https://github.com/open-webui/open-webui/commit/fd7385c3921eb59af76a26f4c475aedb38ce2406), [Commit](https://github.com/open-webui/open-webui/commit/777e81f7a8aca957a359d51df8388e5af4721a68), [Commit](https://github.com/open-webui/open-webui/commit/de7f7b3d855641450f8e5aac34fbae0665e0b80e), [Commit](https://github.com/open-webui/open-webui/commit/f1bbf3a91e4713039364b790e886e59b401572d0), [Commit](https://github.com/open-webui/open-webui/commit/c55afc42559c32a6f0c8beb0f1bb18e9360ab8af), [Commit](https://github.com/open-webui/open-webui/commit/61f20acf61f4fe30c0e5b0180949f6e1a8cf6524)
+- 🔐 To enable MCP server authentication, OAuth 2.1 dynamic client registration was implemented with secure automatic client registration, encrypted session management, and seamless authentication flows. [Commit](https://github.com/open-webui/open-webui/commit/972be4eda5a394c111e849075f94099c9c0dd9aa), [Commit](https://github.com/open-webui/open-webui/commit/77e971dd9fbeee806e2864e686df5ec75e82104b), [Commit](https://github.com/open-webui/open-webui/commit/879abd7feea3692a2f157da4a458d30f27217508), [Commit](https://github.com/open-webui/open-webui/commit/422d38fd114b1ebd8a7dbb114d64e14791e67d7a), [Docs:#709](https://github.com/open-webui/docs/pull/709)
+- 🛠️ External & Built-In Tools can now support rich UI element embedding ([Docs](https://docs.openwebui.com/features/plugin/tools/development)), allowing tools to return HTML content and interactive iframes that display directly within chat conversations with configurable security settings. [Commit](https://github.com/open-webui/open-webui/commit/07c5b25bc8b63173f406feb3ba183d375fedee6a), [Commit](https://github.com/open-webui/open-webui/commit/a5d8882bba7933a2c2c31c0a1405aba507c370bb), [Commit](https://github.com/open-webui/open-webui/commit/7be5b7f50f498de97359003609fc5993a172f084), [Commit](https://github.com/open-webui/open-webui/commit/a89ffccd7e96705a4a40e845289f4fcf9c4ae596)
+- 📝 Note editor now supports drag-and-drop reordering of list items with visual drag handles, making list organization more intuitive and efficient. [Commit](https://github.com/open-webui/open-webui/commit/e4e97e727e9b4971f1c363b1280ca3a101599d88), [Commit](https://github.com/open-webui/open-webui/commit/aeb5288a3c7a6e9e0a47b807cc52f870c1b7dbe6)
+- 🔍 Search modal was enhanced with quick action buttons for starting new conversations and creating notes, with intelligent content pre-population from search queries. [Commit](https://github.com/open-webui/open-webui/commit/aa6f63a335e172fec1dc94b2056541f52c1167a6), [Commit](https://github.com/open-webui/open-webui/commit/612a52d7bb7dbe9fa0bbbc8ac0a552d2b9801146), [Commit](https://github.com/open-webui/open-webui/commit/b03529b006f3148e895b1094584e1ab129ecac5b)
+- 🛠️ Tool user valve configuration interface was added to the integrations menu, displaying clickable gear icon buttons with tooltips for tools that support user-specific settings, making personal tool configurations easily accessible. [Commit](https://github.com/open-webui/open-webui/commit/27d61307cdce97ed11a05ec13fc300249d6022cd)
+- 👥 Channel access control was enhanced to require write permissions for posting, editing, and deleting messages, while read-only users can view content but cannot contribute. [#17543](https://github.com/open-webui/open-webui/pull/17543)
+- 💬 Channel models now support image processing, allowing AI assistants to view and analyze images shared in conversation threads. [Commit](https://github.com/open-webui/open-webui/commit/9f0010e234a6f40782a66021435d3c02b9c23639)
+- 🌐 Attach Webpage button was added to the message input menu, providing a user-friendly modal interface for attaching web content and YouTube videos as an alternative to the existing URL syntax. [#17534](https://github.com/open-webui/open-webui/pull/17534)
+- 🔐 Redis session storage support was added for OAuth redirects, providing better state handling in multi-pod Kubernetes deployments and resolving CSRF mismatch errors. [#17223](https://github.com/open-webui/open-webui/pull/17223), [#15373](https://github.com/open-webui/open-webui/issues/15373)
+- 🔍 Ollama Cloud web search integration was added as a new search engine option, providing access to web search functionality through Ollama's cloud infrastructure. [Commit](https://github.com/open-webui/open-webui/commit/e06489d92baca095b8f376fbef223298c7772579), [Commit](https://github.com/open-webui/open-webui/commit/4b6d34438bcfc45463dc7a9cb984794b32c1f0a1), [Commit](https://github.com/open-webui/open-webui/commit/05c46008da85357dc6890b846789dfaa59f4a520), [Commit](https://github.com/open-webui/open-webui/commit/fe65fe0b97ec5a8fff71592ff04a25c8e123d108), [Docs:#708](https://github.com/open-webui/docs/pull/708)
+- 🔍 Perplexity Websearch API integration was added as a new search engine option, providing access to the new websearch functionality provided by Perplexity. [#17756](https://github.com/open-webui/open-webui/issues/17756), [Commit](https://github.com/open-webui/open-webui/pull/17747/commits/7f411dd5cc1c29733216f79e99eeeed0406a2afe)
+- ☁️ OneDrive integration was improved to support separate client IDs for personal and business authentication, enabling both integrations to work simultaneously. [#17619](https://github.com/open-webui/open-webui/pull/17619), [Docs](https://docs.openwebui.com/tutorials/integrations/onedrive-sharepoint), [Docs](https://docs.openwebui.com/getting-started/env-configuration/#onedrive)
+- 📝 Pending user overlay content now supports markdown formatting, enabling rich text display for custom messages similar to banner functionality. [#17681](https://github.com/open-webui/open-webui/pull/17681)
+- 🎨 Image generation model selection was centralized to enable dynamic model override in function calls, allowing pipes and tools to specify different models than the global default while maintaining backward compatibility. [#17689](https://github.com/open-webui/open-webui/pull/17689)
+- 🎨 Interface design was modernized with updated visual styling, improved spacing, and refined component layouts across modals, sidebar, settings, and navigation elements. [Commit](https://github.com/open-webui/open-webui/commit/27a91cc80a24bda0a3a188bc3120a8ab57b00881), [Commit](https://github.com/open-webui/open-webui/commit/4ad743098615f9c58daa9df392f31109aeceeb16), [Commit](https://github.com/open-webui/open-webui/commit/fd7385c3921eb59af76a26f4c475aedb38ce2406)
+- 📊 Notes query performance was optimized through database-level filtering and separated access control logic, reducing memory usage and eliminating N+1 query problems for better scalability. [#17607](https://github.com/open-webui/open-webui/pull/17607) [Commit](https://github.com/open-webui/open-webui/pull/17747/commits/da661756fa7eec754270e6dd8c67cbf74a28a17f)
+- ⚡ Page loading performance was optimized by deferring API requests until components are actually opened, including ChangelogModal, ModelSelector, RecursiveFolder, ArchivedChatsModal, and SearchModal. [#17542](https://github.com/open-webui/open-webui/pull/17542), [#17555](https://github.com/open-webui/open-webui/pull/17555), [#17557](https://github.com/open-webui/open-webui/pull/17557), [#17541](https://github.com/open-webui/open-webui/pull/17541), [#17640](https://github.com/open-webui/open-webui/pull/17640)
+- ⚡ Bundle size was reduced by 1.58MB through optimized highlight.js language support, improving page loading speed and reducing bandwidth usage. [#17645](https://github.com/open-webui/open-webui/pull/17645)
+- ⚡ Editor collaboration functionality was refactored to reduce package size by 390KB and minimize compilation errors, improving build performance and reliability. [#17593](https://github.com/open-webui/open-webui/pull/17593)
+- ♿ Enhanced user interface accessibility through the addition of unique element IDs, improving targeting for testing, styling, and assistive technologies while providing better semantic markup for screen readers and accessibility tools. [#17746](https://github.com/open-webui/open-webui/pull/17746)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Translations for Portuguese (Brazil), Chinese (Simplified and Traditional), Korean, Irish, Spanish, Finnish, French, Kabyle, Russian, and Catalan were enhanced and improved.
+
+### Fixed
+
+- 🛡️ SVG content security was enhanced by implementing DOMPurify sanitization to prevent XSS attacks through malicious SVG elements, ensuring safe rendering of user-generated SVG content. [Commit](https://github.com/open-webui/open-webui/pull/17747/commits/750a659a9fee7687e667d9d755e17b8a0c77d557)
+- ☁️ OneDrive attachment menu rendering issues were resolved by restructuring the submenu interface from dropdown to tabbed navigation, preventing menu items from being hidden or clipped due to overflow constraints. [#17554](https://github.com/open-webui/open-webui/issues/17554), [Commit](https://github.com/open-webui/open-webui/pull/17747/commits/90e4b49b881b644465831cc3028bb44f0f7a2196)
+- 💬 Attached conversation references now persist throughout the entire chat session, ensuring models can continue querying referenced conversations after multiple conversation turns. [#17750](https://github.com/open-webui/open-webui/issues/17750)
+- 🔍 Search modal text box focus issues after pinning or unpinning chats were resolved, allowing users to properly exit the search interface by clicking outside the text box. [#17743](https://github.com/open-webui/open-webui/issues/17743)
+- 🔍 Search function chat list is now properly updated in real-time when chats are created or deleted, eliminating stale search results and preview loading failures. [#17741](https://github.com/open-webui/open-webui/issues/17741)
+- 💬 Chat jitter and delayed code block expansion in multi-model sessions were resolved by reverting dynamic CodeEditor loading, restoring stable rendering behavior. [#17715](https://github.com/open-webui/open-webui/pull/17715), [#17684](https://github.com/open-webui/open-webui/issues/17684)
+- 📎 File upload handling was improved to properly recognize uploaded files even when no accompanying text message is provided, resolving issues where attachments were ignored in custom prompts. [#17492](https://github.com/open-webui/open-webui/issues/17492)
+- 💬 Chat conversation referencing within projects was restored by including foldered chats in the reference menu, allowing users to properly quote conversations from within their project scope. [#17530](https://github.com/open-webui/open-webui/issues/17530)
+- 🔍 RAG query generation is now skipped when all attached files are set to full context mode, preventing unnecessary retrieval operations and improving system efficiency. [#17744](https://github.com/open-webui/open-webui/pull/17744)
+- 💾 Memory leaks in file handling and HTTP connections are prevented through proper resource cleanup, ensuring stable memory usage during large file downloads and processing operations. [#17608](https://github.com/open-webui/open-webui/pull/17608)
+- 🔐 OAuth access token refresh errors are resolved by properly implementing async/await patterns, preventing "coroutine object has no attribute get" failures during token expiry. [#17585](https://github.com/open-webui/open-webui/issues/17585), [#17678](https://github.com/open-webui/open-webui/issues/17678)
+- ⚙️ Valve behavior was improved to properly handle default values and array types, ensuring only explicitly set values are persisted while maintaining consistent distinction between custom and default valve states. [#17664](https://github.com/open-webui/open-webui/pull/17664)
+- 🔍 Hybrid search functionality was enhanced to handle inconsistent parameter types and prevent failures when collection results are None, empty, or in unexpected formats. [#17617](https://github.com/open-webui/open-webui/pull/17617)
+- 📁 Empty folder deletion is now allowed regardless of chat deletion permission restrictions, resolving cases where users couldn't remove folders after deleting all contained chats. [#17683](https://github.com/open-webui/open-webui/pull/17683)
+- 📝 Rich text editor console errors were resolved by adding proper error handling when the TipTap editor view is not available or not yet mounted. [#17697](https://github.com/open-webui/open-webui/issues/17697)
+- 🗒️ Hidden models are now properly excluded from the notes section dropdown and default model selection, preventing users from accessing models they shouldn't see. [#17722](https://github.com/open-webui/open-webui/pull/17722)
+- 🖼️ AI-generated image download filenames now use a clean, translatable "Generated Image" format instead of potentially problematic response text, improving file management and compatibility. [#17721](https://github.com/open-webui/open-webui/pull/17721)
+- 🎨 Toggle switch display issues in the Integrations interface are fixed, preventing background highlighting and obscuring on hover. [#17564](https://github.com/open-webui/open-webui/issues/17564)
+
+### Changed
+
+- 👥 Channel permissions now require write access for message posting, editing, and deletion, with existing user groups defaulting to read-only access requiring manual admin migration to write permissions for full participation.
+- ☁️ OneDrive environment variable configuration was updated to use separate ONEDRIVE_CLIENT_ID_PERSONAL and ONEDRIVE_CLIENT_ID_BUSINESS variables for better client ID separation, while maintaining backward compatibility with the legacy ONEDRIVE_CLIENT_ID variable. [Docs](https://docs.openwebui.com/tutorials/integrations/onedrive-sharepoint), [Docs](https://docs.openwebui.com/getting-started/env-configuration/#onedrive)
+
+## [0.6.30] - 2025-09-17
+
+### Added
+
+- 🔑 Microsoft Entra ID authentication type support was added for Azure OpenAI connections, enabling enhanced security and streamlined authentication workflows.
+
+### Fixed
+
+- ☁️ OneDrive integration was fixed after recent breakage, restoring reliable account connectivity and file access.
+
+## [0.6.29] - 2025-09-17
+
+### Added
+
+- 🎨 The chat input menu has been completely overhauled with a revolutionary new design, consolidating attachments under a unified '+' button, organizing integrations into a streamlined options menu, and introducing powerful, interactive selectors for attaching chats, notes, and knowledge base items. [Commit](https://github.com/open-webui/open-webui/commit/a68342d5a887e36695e21f8c2aec593b159654ff), [Commit](https://github.com/open-webui/open-webui/commit/96b8aaf83ff341fef432649366bc5155bac6cf20), [Commit](https://github.com/open-webui/open-webui/commit/4977e6d50f7b931372c96dd5979ca635d58aeb78), [Commit](https://github.com/open-webui/open-webui/commit/d973db829f7ec98b8f8fe7d3b2822d588e79f94e), [Commit](https://github.com/open-webui/open-webui/commit/d4c628de09654df76653ad9bce9cb3263e2f27c8), [Commit](https://github.com/open-webui/open-webui/commit/cd740f436db4ea308dbede14ef7ff56e8126f51b), [Commit](https://github.com/open-webui/open-webui/commit/5c2db102d06b5c18beb248d795682ff422e9b6d1), [Commit](https://github.com/open-webui/open-webui/commit/031cf38655a1a2973194d2eaa0fbbd17aca8ee92), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/3ed0a6d11fea1a054e0bc8aa8dfbe417c7c53e51), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/eadec9e86e01bc8f9fb90dfe7a7ae4fc3bfa6420), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/c03ca7270e64e3a002d321237160c0ddaf2bb129), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/b53ddfbd19aa94e9cbf7210acb31c3cfafafa5fe), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/c923461882fcde30ae297a95e91176c95b9b72e1)
+- 🤖 AI models can now be mentioned in channels to automatically generate responses, enabling multi-model conversations where mentioned models participate directly in threaded discussions with full context awareness. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/4fe97d8794ee18e087790caab9e5d82886006145)
+- 💬 The Channels feature now utilizes the modern rich text editor, including support for '/', '@', and '#' command suggestions. [Commit](https://github.com/open-webui/open-webui/commit/06c1426e14ac0dfaf723485dbbc9723a4d89aba9), [Commit](https://github.com/open-webui/open-webui/commit/02f7c3258b62970ce79716f75d15467a96565054)
+- 📎 Channel message input now supports direct paste functionality for images and files from the clipboard, streamlining content sharing workflows. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/6549fc839f86c40c26c2ef4dedcaf763a9304418)
+- ⚙️ Models can now be configured with default features (Web Search, Image Generation) and filters that automatically activate when a user selects the model. [Commit](https://github.com/open-webui/open-webui/commit/9a555478273355a5177bfc7f7211c64778e4c8de), [Commit](https://github.com/open-webui/open-webui/commit/384a53b339820068e92f7eaea0d9f3e0536c19c2), [Commit](https://github.com/open-webui/open-webui/commit/d7f43bfc1a30c065def8c50d77c2579c1a3c5c67), [Commit](https://github.com/open-webui/open-webui/commit/6a67a2217cc5946ad771e479e3a37ac213210748)
+- 💬 The ability to reference other chats as context within a conversation was added via the attachment menu. [Commit](https://github.com/open-webui/open-webui/commit/e097bbdf11ae4975c622e086df00d054291cdeb3), [Commit](https://github.com/open-webui/open-webui/commit/f3cd2ffb18e7dedbe88430f9ae7caa6b3cfd79d0), [Commit](https://github.com/open-webui/open-webui/commit/74263c872c5d574a9bb0944d7984f748dc772dba), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/aa8ab349ed2fcb46d1cf994b9c0de2ec2ea35d0d), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/025eef754f0d46789981defd473d001e3b1d0ca2)
+- 🎨 The command suggestion UI for prompts ('/'), models ('@'), and knowledge ('#') was completely overhauled with a more responsive and keyboard-navigable interface. [Commit](https://github.com/open-webui/open-webui/commit/6b69c4da0fb9329ccf7024483960e070cf52ccab), [Commit](https://github.com/open-webui/open-webui/commit/06a6855f844456eceaa4d410c93379460e208202), [Commit](https://github.com/open-webui/open-webui/commit/c55f5578280b936cf581a743df3703e3db1afd54), [Commit](https://github.com/open-webui/open-webui/commit/f68d1ba394d4423d369f827894cde99d760b2402)
+- 👥 User and channel suggestions were added to the mention system, enabling '@' mentions for users and models, and '#' mentions for channels with searchable user lookup and clickable navigation. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/bbd1d2b58c89b35daea234f1fc9208f2af840899), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/aef1e06f0bb72065a25579c982dd49157e320268), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/779db74d7e9b7b00d099b7d65cfbc8a831e74690)
+- 📁 Folder functionality was enhanced with custom background image support, improved drag-and-drop capabilities for moving folders to root level, and better menu interactions. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/2a234829f5dfdfde27fdfd30591caa908340efb4), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/2b1ee8b0dc5f7c0caaafdd218f20705059fa72e2), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/b1e5bc8e490745f701909c19b6a444b67c04660e), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/3e584132686372dfeef187596a7c557aa5f48308)
+- ☁️ OneDrive integration configuration now supports selecting between personal and work/school account types via ENABLE_ONEDRIVE_PERSONAL and ENABLE_ONEDRIVE_BUSINESS environment variables. [#17354](https://github.com/open-webui/open-webui/pull/17354), [Commit](https://github.com/open-webui/open-webui/commit/e1e3009a30f9808ce06582d81a60e391f5ca09ec), [Docs:#697](https://github.com/open-webui/docs/pull/697)
+- ⚡ Mermaid.js is now dynamically loaded on demand, significantly reducing first-screen loading time and improving initial page performance. [#17476](https://github.com/open-webui/open-webui/issues/17476), [#17477](https://github.com/open-webui/open-webui/pull/17477)
+- ⚡ Azure MSAL browser library is now dynamically loaded on demand, reducing initial bundle size by 730KB and improving first-screen loading speed. [#17479](https://github.com/open-webui/open-webui/pull/17479)
+- ⚡ CodeEditor component is now dynamically loaded on demand, reducing initial bundle size by 1MB and improving first-screen loading speed. [#17498](https://github.com/open-webui/open-webui/pull/17498)
+- ⚡ Hugging Face Transformers library is now dynamically loaded on demand, reducing initial bundle size by 1.9MB and improving first-screen loading speed. [#17499](https://github.com/open-webui/open-webui/pull/17499)
+- ⚡ jsPDF and html2canvas-pro libraries are now dynamically loaded on demand, reducing initial bundle size by 980KB and improving first-screen loading speed. [#17502](https://github.com/open-webui/open-webui/pull/17502)
+- ⚡ Leaflet mapping library is now dynamically loaded on demand, reducing initial bundle size by 454KB and improving first-screen loading speed. [#17503](https://github.com/open-webui/open-webui/pull/17503)
+- 📊 OpenTelemetry metrics collection was enhanced to properly handle HTTP 500 errors and ensure metrics are recorded even during exceptions. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/b14617a653c6bdcfd3102c12f971924fd1faf572)
+- 🔒 OAuth token retrieval logic was refactored, improving the reliability and consistency of authentication handling across the backend. [Commit](https://github.com/open-webui/open-webui/commit/6c0a5fa91cdbf6ffb74667ee61ca96bebfdfbc50)
+- 💻 Code block output processing was improved to handle Python execution results more reliably, along with refined visual styling and button layouts. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/0e5320c39e308ff97f2ca9e289618af12479eb6e)
+- ⚡ Message input processing was optimized to skip unnecessary text variable handling when input is empty, improving performance. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/e1386fe80b77126a12dabc4ad058abe9b024b275)
+- 📄 Individual chat PDF export was added to the sidebar chat menu, allowing users to export single conversations as PDF documents with both stylized and plain text options. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/d041d58bb619689cd04a391b4f8191b23941ca62)
+- 🛠️ Function validation was enhanced with improved valve validation and better error handling during function loading and synchronization. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/e66e0526ed6a116323285f79f44237538b6c75e6), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/8edfd29102e0a61777b23d3575eaa30be37b59a5)
+- 🔔 Notification toast interaction was enhanced with drag detection to prevent accidental clicks and added keyboard support for accessibility. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/621e7679c427b6f0efa85f95235319238bf171ad)
+- 🗓️ Improved date and time formatting dynamically adapts to the selected language, ensuring consistent localization across the UI. [#17409](https://github.com/open-webui/open-webui/pull/17409), [Commit](https://github.com/open-webui/open-webui/commit/2227f24bd6d861b1fad8d2cabacf7d62ce137d0c)
+- 🔒 Feishu SSO integration was added, allowing users to authenticate via Feishu. [#17284](https://github.com/open-webui/open-webui/pull/17284), [Docs:#685](https://github.com/open-webui/docs/pull/685)
+- 🔠 Toggle filters in the chat input options menu are now sorted alphabetically for easier navigation. [Commit](https://github.com/open-webui/open-webui/commit/ca853ca4656180487afcd84230d214f91db52533)
+- 🎨 Long chat titles in the sidebar are now truncated to prevent text overflow and maintain a clean layout. [#17356](https://github.com/open-webui/open-webui/pull/17356)
+- 🎨 Temporary chat interface design was refined with improved layout and visual consistency. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/67549dcadd670285d491bd41daf3d081a70fd094), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/2ca34217e68f3b439899c75881dfb050f49c9eb2), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/fb02ec52a5df3f58b53db4ab3a995c15f83503cd)
+- 🎨 Download icon consistency was improved across the entire interface by standardizing the icon component used in menus, functions, tools, and export features. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/596be451ece7e11b5cd25465d49670c27a1cb33f)
+- 🎨 Settings interface was enhanced with improved iconography and reorganized the 'Chats' section into 'Data Controls' for better clarity. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/8bf0b40fdd978b5af6548a6e1fb3aabd90bcd5cd)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Translations for Finnish, German, Kabyle, Portuguese (Brazil), Simplified Chinese, Spanish (Spain), and Traditional Chinese (Taiwan) were enhanced and expanded.
+
+### Fixed
+
+- 📚 Knowledge base permission logic was corrected to ensure private collection owners can access their own content when embedding bypass is enabled. [#17432](https://github.com/open-webui/open-webui/issues/17432), [Commit](https://github.com/open-webui/open-webui/commit/a51f0c30ec1472d71487eab3e15d0351a2716b12)
+- ⚙️ Connection URL editing in Admin Settings now properly saves changes instead of reverting to original values, fixing issues with both Ollama and OpenAI-compatible endpoints. [#17435](https://github.com/open-webui/open-webui/issues/17435), [Commit](https://github.com/open-webui/open-webui/commit/e4c864de7eb0d577843a80688677ce3659d1f81f)
+- 📊 Usage information collection from Google models was corrected to handle providers that send usage data alongside content chunks instead of separately. [#17421](https://github.com/open-webui/open-webui/pull/17421), [Commit](https://github.com/open-webui/open-webui/commit/c2f98a4cd29ed738f395fef09c42ab8e73cd46a0)
+- ⚙️ Settings modal scrolling issue was resolved by moving image compression controls to a dedicated modal, preventing the main settings from becoming scrollable out of view. [#17474](https://github.com/open-webui/open-webui/issues/17474), [Commit](https://github.com/open-webui/open-webui/commit/fed5615c19b0045a55b0be426b468a57bfda4b66)
+- 📁 Folder click behavior was improved to prevent accidental actions by implementing proper double-click detection and timing delays for folder expansion and selection. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/19e3214997170eea6ee92452e8c778e04a28e396)
+- 🔐 Access control component reliability was improved with better null checking and error handling for group permissions and private access scenarios. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/c8780a7f934c5e49a21b438f2f30232f83cf75d2), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/32015c392dbc6b7367a6a91d9e173e675ea3402c)
+- 🔗 The citation modal now correctly displays and links to external web page sources in addition to internal documents. [Commit](https://github.com/open-webui/open-webui/commit/9208a84185a7e59524f00a7576667d493c3ac7d4)
+- 🔗 Web and YouTube attachment handling was fixed, ensuring their content is now reliably processed and included in the chat context for retrieval. [Commit](https://github.com/open-webui/open-webui/commit/210197fd438b52080cda5d6ce3d47b92cdc264c8)
+- 📂 Large file upload failures are resolved by correcting the processing logic for scenarios where document embedding is bypassed. [Commit](https://github.com/open-webui/open-webui/commit/051b6daa8299fd332503bd584563556e2ae6adab)
+- 🌐 Rich text input placeholder text now correctly updates when the interface language is switched, ensuring proper localization. [#17473](https://github.com/open-webui/open-webui/pull/17473), [Commit](https://github.com/open-webui/open-webui/commit/77358031f5077e6efe5cc08d8d4e5831c7cd1cd9)
+- 📊 Llama.cpp server timing metrics are now correctly parsed and displayed by fixing a typo in the response handling. [#17350](https://github.com/open-webui/open-webui/issues/17350), [Commit](https://github.com/open-webui/open-webui/commit/cf72f5503f39834b9da44ebbb426a3674dad0caa)
+- 🛠️ Filter functions with file_handler configuration now properly handle messages without file attachments, preventing runtime errors. [#17423](https://github.com/open-webui/open-webui/pull/17423)
+- 🔔 Channel notification delivery was fixed to properly handle background task execution and user access checking. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/1077b2ac8b96e49c2ad2620e76eb65bbb2a3a1f3)
+
+### Changed
+
+- 📝 Prompt template variables are now optional by default instead of being forced as required, allowing flexible workflows with optional metadata fields. [#17447](https://github.com/open-webui/open-webui/issues/17447), [Commit](https://github.com/open-webui/open-webui/commit/d5824b1b495fcf86e57171769bcec2a0f698b070), [Docs:#696](https://github.com/open-webui/docs/pull/696)
+- 🛠️ Direct external tool servers now require explicit user selection from the input interface instead of being automatically included in conversations, providing better control over tool usage. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/0f04227c34ca32746c43a9323e2df32299fcb6af), [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/99bba12de279dd55c55ded35b2e4f819af1c9ab5)
+- 📺 Widescreen mode option was removed from Channels interface, with all channel layouts now using full-width display. [Commit](https://github.com/open-webui/open-webui/pull/17420/commits/d46b7b8f1b99a8054b55031fe935c8a16d5ec956)
+- 🎛️ The plain textarea input option was deprecated, and the custom text editor is now the standard for all chat inputs. [Commit](https://github.com/open-webui/open-webui/commit/153afd832ccd12a1e5fd99b085008d080872c161)
+
+## [0.6.28] - 2025-09-10
+
+### Added
+
+- 🔍 The "@" command for model selection now supports real-time search and filtering, improving usability and aligning its behavior with other input commands. [#17307](https://github.com/open-webui/open-webui/issues/17307), [Commit](https://github.com/open-webui/open-webui/commit/f2a09c71499489ee71599af4a179e7518aaf658b)
+- 🛠️ External tool server data handling is now more robust, automatically attempting to parse specifications as JSON before falling back to YAML, regardless of the URL extension. [Commit](https://github.com/open-webui/open-webui/commit/774c0056bde88ed4831422efa81506488e3d6641)
+- 🎯 The "Title" field is now automatically focused when creating a new chat folder, streamlining the folder creation process. [#17315](https://github.com/open-webui/open-webui/issues/17315), [Commit](https://github.com/open-webui/open-webui/commit/c51a651a2d5e2a27546416666812e9b92205562d)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Brazilian Portuguese and Simplified Chinese translations were expanded and refined.
+
+### Fixed
+
+- 🔊 A regression affecting Text-to-Speech for local providers using the OpenAI engine was fixed by reverting a URL joining change. [#17316](https://github.com/open-webui/open-webui/issues/17316), [Commit](https://github.com/open-webui/open-webui/commit/8339f59cdfc63f2d58c8e26933d1bf1438479d75)
+- 🪧 A regression was fixed where the input modal for prompts with placeholders would not open, causing the raw prompt text to be pasted into the chat input field instead. [#17325](https://github.com/open-webui/open-webui/issues/17325), [Commit](https://github.com/open-webui/open-webui/commit/d5cb65527eaa4831459a4c7dbf187daa9c0525ae)
+- 🔑 An issue was resolved where modified connection keys in the OpenAIConnection component did not take effect. [#17324](https://github.com/open-webui/open-webui/pull/17324)
+
+## [0.6.27] - 2025-09-09
+
+### Added
+
+- 📁 Emoji folder icons were added, allowing users to personalize workspace organization with visual cues, including improved chevron display. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/1588f42fe777ad5d807e3f2fc8dbbc47a8db87c0), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/b70c0f36c0f5bbfc2a767429984d6fba1a7bb26c), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/11dea8795bfce42aa5d8d58ef316ded05173bd87), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/c0a47169fa059154d5f5a9ea6b94f9a66d82f255)
+- 📁 The 'Search Collection' input field now dynamically displays the total number of files within the knowledge base. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/fbbe1117ae4c9c8fec6499d790eee275818eccc5)
+- ☁️ A provider toggle in connection settings now allows users to manually specify Azure OpenAI deployments. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/5bdd334b74fbd154085f2d590f4afdba32469c8a)
+- ⚡ Model list caching performance was optimized by fixing cache key generation to reduce redundant API calls. [#17158](https://github.com/open-webui/open-webui/pull/17158)
+- 🎨 Azure OpenAI image generation is now supported, with configurations for IMAGES_OPENAI_API_VERSION via environment variable and admin UI. [#17147](https://github.com/open-webui/open-webui/pull/17147), [#16274](https://github.com/open-webui/open-webui/discussions/16274), [Docs:#679](https://github.com/open-webui/docs/pull/679)
+- ⚡ Comprehensive N+1 query performance is optimized by reducing database queries from 1+N to 1+1 patterns across major listing endpoints. [#17165](https://github.com/open-webui/open-webui/pull/17165), [#17160](https://github.com/open-webui/open-webui/pull/17160), [#17161](https://github.com/open-webui/open-webui/pull/17161), [#17162](https://github.com/open-webui/open-webui/pull/17162), [#17159](https://github.com/open-webui/open-webui/pull/17159), [#17166](https://github.com/open-webui/open-webui/pull/17166)
+- ⚡ The PDF.js library is now dynamically loaded, significantly reducing initial page load size and improving responsiveness. [#17222](https://github.com/open-webui/open-webui/pull/17222)
+- ⚡ The heic2any library is now dynamically loaded across various message input components, including channels, for faster page loads. [#17225](https://github.com/open-webui/open-webui/pull/17225), [#17229](https://github.com/open-webui/open-webui/pull/17229)
+- 📚 The knowledge API now supports a "delete_file" query parameter, allowing configurable file deletion behavior. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/22c4ef4fb096498066b73befe993ae3a82f7a8e7)
+- 📊 Llama.cpp timing statistics are now integrated into the usage field for comprehensive model performance metrics. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/e830b4959ecd4b2795e29e53026984a58a7696a9)
+- 🗄️ The PGVECTOR_CREATE_EXTENSION environment variable now allows control over automatic pgvector extension creation. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/c2b4976c82d335ed524bd80dc914b5e2f5bfbd9e), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/b45219c8b15b48d5ee3d42983e1107bbcefbab01), [Docs:#672](https://github.com/open-webui/docs/pull/672)
+- 🔒 Comprehensive server-side OAuth token management was implemented, securely storing encrypted tokens in a new database table and introducing an automatic refresh mechanism, enabling seamless and secure forwarding of valid user-specific OAuth tokens to downstream services, including OpenAI-compatible endpoints and external tool servers via the new "system_oauth" authentication type, resolving long-standing issues such as large token size limitations, stale/expired tokens, and reliable token propagation, and enhancing overall security by minimizing client-side token exposure, configurable via "ENABLE_OAUTH_ID_TOKEN_COOKIE" and "OAUTH_SESSION_TOKEN_ENCRYPTION_KEY" environment variables. [Docs:#683](https://github.com/open-webui/docs/pull/683), [#17210](https://github.com/open-webui/open-webui/pull/17210), [#8957](https://github.com/open-webui/open-webui/discussions/8957), [#11029](https://github.com/open-webui/open-webui/discussions/11029), [#17178](https://github.com/open-webui/open-webui/issues/17178), [#17183](https://github.com/open-webui/open-webui/issues/17183), [Commit](https://github.com/open-webui/open-webui/commit/217f4daef09b36d3d4cc4681e11d3ebd9984a1a5), [Commit](https://github.com/open-webui/open-webui/commit/fc11e4384fe98fac659e10596f67c23483578867), [Commit](https://github.com/open-webui/open-webui/commit/f11bdc6ab5dd5682bb3e27166e77581f5b8af3e0), [Commit](https://github.com/open-webui/open-webui/commit/f71834720e623761d972d4d740e9bbd90a3a86c6), [Commit](https://github.com/open-webui/open-webui/commit/b5bb6ae177dcdc4e8274d7e5ffa50bc8099fd466), [Commit](https://github.com/open-webui/open-webui/commit/b786d1e3f3308ef4f0f95d7130ddbcaaca4fc927), [Commit](https://github.com/open-webui/open-webui/commit/8a9f8627017bd0a74cbd647891552b26e56aabb7), [Commit](https://github.com/open-webui/open-webui/commit/30d1dc2c60e303756120fe1c5538968c4e6139f4), [Commit](https://github.com/open-webui/open-webui/commit/2b2d123531eb3f42c0e940593832a64e2806240d), [Commit](https://github.com/open-webui/open-webui/commit/6f6412dd16c63c2bb4df79a96b814bf69cb3f880)
+- 🔒 Conditional Permission Hardening for OpenShift Deployments: Added a build argument to enable optional permission hardening for OpenShift and container environments. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/0ebe4f8f8490451ac8e85a4846f010854d9b54e5)
+- 👥 Regex pattern support is added for OAuth blocked groups, allowing more flexible group filtering rules. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/df66e21472646648d008ebb22b0e8d5424d491df)
+- 💬 Web search result display was enhanced to include titles and favicons, providing a clearer overview of search sources. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/33f04a771455e3fabf8f0e8ebb994ae7f41b8ed4), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/0a85dd4bca23022729eafdbc82c8c139fa365af2), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/16090bc2721fde492afa2c4af5927e2b668527e1), [#17197](https://github.com/open-webui/open-webui/pull/17197), [#14179](https://github.com/open-webui/open-webui/issues/14179), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/1cdb7aed1ee9bf81f2fd0404be52dcfa64f8ed4f), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/f2525ebc447c008cf7269ef20ce04fa456f302c4), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/7f523de408ede4075349d8de71ae0214b7e1a62e), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/3d37e4a42d344051ae715ab59bd7b5718e46c343), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/cd5e2be27b613314aadda6107089331783987985), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/6dc0df247347aede2762fe2065cf30275fd137ae)
+- 💬 A new setting was added to control whether clicking a suggested prompt automatically sends the message or only inserts the text. [#17192](https://github.com/open-webui/open-webui/issues/17192), [Commit](https://github.com/open-webui/open-webui/commit/e023a98f11fc52feb21e4065ec707cc98e50c7d3)
+- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
+- 🌐 Translations for Portuguese (Brazil), Simplified Chinese, Catalan, and Spanish were enhanced and expanded.
+
+### Fixed
+
+- 🔍 Hybrid search functionality now correctly handles lexical-semantic weight labels and avoids errors when BM25 weight is zero. [#17049](https://github.com/open-webui/open-webui/pull/17049), [#17046](https://github.com/open-webui/open-webui/issues/17046)
+- 🛑 Task stopping errors are prevented by gracefully handling multiple stop requests for the same task. [#17195](https://github.com/open-webui/open-webui/pull/17195)
+- 🐍 Code execution package detection precision is improved in Pyodide to prevent unnecessary package inclusions. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/bbe116795860a81a647d9567e0d9cb1950650095)
+- 🛠️ Tool message format API compliance is fixed by ensuring content fields in tool call responses contain valid string values instead of null. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/37bf0087e5b8a324009c9d06b304027df351ea6b)
+- 📱 Mobile app config API authentication now supports Authorization header token verification with cookie fallback for iOS and Android requests. [#17175](https://github.com/open-webui/open-webui/pull/17175)
+- 💾 Knowledge file save race conditions are prevented by serializing API calls and adding an "isSaving" guard. [#17137](https://github.com/open-webui/open-webui/pull/17137), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/4ca936f0bf9813bee11ec8aea41d7e34fb6b16a9)
+- 🔐 The SSO login button visibility is restored for OIDC PKCE authentication without a client secret. [#17012](https://github.com/open-webui/open-webui/pull/17012)
+- 🔊 Text-to-Speech (TTS) API requests now use proper URL joining methods, ensuring reliable functionality regardless of trailing slashes in the base URL. [#17061](https://github.com/open-webui/open-webui/pull/17061)
+- 🛡️ Admin account creation on Hugging Face Spaces now correctly detects the configured port, resolving issues with custom port deployments. [#17064](https://github.com/open-webui/open-webui/pull/17064)
+- 📁 Unicode filename support is improved for external document loaders by properly URL-encoding filenames in HTTP headers. [#17013](https://github.com/open-webui/open-webui/pull/17013), [#17000](https://github.com/open-webui/open-webui/issues/17000)
+- 🔗 Web page and YouTube attachments are now correctly processed by setting their type as "text" and using collection names for accurate content retrieval. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/487979859a6ffcfd60468f523822cdf838fbef5b)
+- ✍️ Message input composition event handling is fixed to properly manage text input for multilingual users using Input Method Editors (IME). [#17085](https://github.com/open-webui/open-webui/pull/17085)
+- 💬 Follow-up tooltip duplication is removed, streamlining the user interface and preventing visual clutter. [#17186](https://github.com/open-webui/open-webui/pull/17186)
+- 🎨 Chat button text display is corrected by preventing clipping of descending characters and removing unnecessary capitalization. [#17191](https://github.com/open-webui/open-webui/pull/17191)
+- 🧠 RAG Loop/Error with Gemma 3.1 2B Instruct is fixed by correctly unwrapping unexpected single-item list responses from models. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/1bc9711afd2b72cd07c4e539a83783868733767c), [#17213](https://github.com/open-webui/open-webui/issues/17213)
+- 🖼️ HEIC conversion failures are resolved, improving robustness of image handling. [#17225](https://github.com/open-webui/open-webui/pull/17225)
+- 📦 The slim Docker image size regression has been fixed by refining the build process to correctly exclude components when USE_SLIM=true. [#16997](https://github.com/open-webui/open-webui/issues/16997), [Commit](https://github.com/open-webui/open-webui/commit/be373e9fd42ac73b0302bdb487e16dbeae178b4e), [Commit](https://github.com/open-webui/open-webui/commit/0ebe4f8f8490451ac8e85a4846f010854d9b54e5)
+- 📁 Knowledge base update validation errors are resolved, ensuring seamless management via UI or API. [#17244](https://github.com/open-webui/open-webui/issues/17244), [Commit](https://github.com/open-webui/open-webui/commit/9aac1489080a5c9441e89b1a56de0d3a672bc5fb)
+- 🔐 Resolved a security issue where a global web search setting overrode model-specific restrictions, ensuring model-level settings are now correctly prioritized. [#17151](https://github.com/open-webui/open-webui/issues/17151), [Commit](https://github.com/open-webui/open-webui/commit/9368d0ac751ec3072d5a96712b80a9b20a642ce6)
+- 🔐 OAuth redirect reliability is improved by robustly preserving the intended redirect path using session storage. [#17235](https://github.com/open-webui/open-webui/issues/17235), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/4f2b821088367da18374027919594365c7a3f459), [#15575](https://github.com/open-webui/open-webui/pull/15575), [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/d9f97c832c556fae4b116759da0177bf4fe619de)
+- 🔐 Fixed a security vulnerability where knowledge base access within chat folders persisted after permissions were revoked. [#17182](https://github.com/open-webui/open-webui/issues/17182), [Commit](https://github.com/open-webui/open-webui/commit/40e40d1dddf9ca937e99af41c8ca038dbc93a7e6)
+- 🔒 OIDC access denied errors are now displayed as user-friendly toast notifications instead of raw JSON. [#17208](https://github.com/open-webui/open-webui/issues/17208), [Commit](https://github.com/open-webui/open-webui/commit/3d6d050ad82d360adc42d6e9f42e8faf8d13c9f4)
+- 💬 Chat exception handling is enhanced to prevent system instability during message generation and ensure graceful error recovery. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/f56889c5c7f0cf1a501c05d35dfa614e4f8b6958)
+- 🔒 Static asset authentication is improved by adding crossorigin="use-credentials" attributes to all link elements, enabling proper cookie forwarding for proxy environments and authenticated requests to favicon, manifest, and stylesheet resources. [#17280](https://github.com/open-webui/open-webui/pull/17280), [Commit](https://github.com/open-webui/open-webui/commit/f17d8b5d19e1a05df7d63f53e939c99772a59c1e)
+
+### Changed
+
+- 🛠️ Renamed "Tools" to "External Tools" across the UI for clearer distinction between built-in and external functionalities. [Commit](https://github.com/open-webui/open-webui/pull/17070/commits/0bca4e230ef276bec468889e3be036242ad11086f)
+- 🛡️ Default permission validation for message regeneration and deletion actions is enhanced to provide more restrictive access controls, improving chat security and user data protection. [#17285](https://github.com/open-webui/open-webui/pull/17285)
+
+## [0.6.26] - 2025-08-28
+
+### Added
+
+- 🛂 **Granular Chat Interaction Permissions**: Added fine-grained permission controls for individual chat actions including "Continue Response", "Regenerate Response", "Rate Response", and "Delete Messages". Administrators can now configure these permissions per user group or set system defaults via environment variables, providing enhanced security and governance by preventing potential system prompt leakage through response continuation and enabling precise control over user interactions with AI responses.
+- 🧠 **Custom Reasoning Tags Configuration**: Added configurable reasoning tag detection for AI model responses, allowing administrators and users to customize how the system identifies and processes reasoning content. Users can now define custom reasoning tag pairs, use default tags like "think" and "reasoning", or disable reasoning detection entirely through the Advanced Parameters interface, providing enhanced control over AI thought process visibility.
+- 📱 **Pull-to-Refresh Support**: Added pull-to-refresh functionality allowing user to easily refresh the interface by pulling down on the navbar area. This resolves timeout issues that occurred when temporarily switching away from the app during long AI response generations, eliminating the need to close and relaunch the PWA.
+- 📁 **Configurable File Upload Processing Mode**: Added "process_in_background" query parameter to the file upload API endpoint, allowing clients to choose between asynchronous (default) and synchronous file processing. Setting "process_in_background=false" forces the upload request to wait until extraction and embedding complete, returning immediately usable files and simplifying integration for backend API consumers that prefer blocking calls over polling workflows.
+- 🔐 **Azure Document Intelligence DefaultAzureCredential Support**: Added support for authenticating with Azure Document Intelligence using DefaultAzureCredential in addition to API key authentication, enabling seamless integration with Azure Entra ID and managed identity authentication for enterprise Azure environments.
+- 🔐 **Authentication Bootstrapping Enhancements**: Added "ENABLE_INITIAL_ADMIN_SIGNUP" environment variable and "?form=true" URL parameter to enable initial admin user creation and forced login form display in SSO-only deployments. This resolves bootstrap issues where administrators couldn't create the first user when login forms were disabled, allowing proper initialization of SSO-configured deployments without requiring temporary configuration changes.
+- ⚡ **Query Generation Caching**: Added "ENABLE_QUERIES_CACHE" environment variable to enable request-scoped caching of generated search queries. When both web search and file retrieval are active, queries generated for web search are automatically reused for file retrieval, eliminating duplicate LLM API calls and reducing token usage and costs while maintaining search quality.
+- 🔧 **Configurable Tool Call Retry Limit**: Added "CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES" environment variable to control the maximum number of sequential tool calls allowed before safety stopping a chat session. This replaces the previous hardcoded limit of 10, enabling administrators to configure higher limits for complex workflows requiring extensive tool interactions.
+- 📦 **Slim Docker Image Variant**: Added new slim Docker image option via "USE_SLIM" build argument that excludes embedded AI models and Ollama installation, reducing image size by approximately 1GB. This variant enables faster image pulls and deployments for environments where AI models are managed externally, particularly beneficial for auto-scaling clusters and distributed deployments.
+- 🗂️ **Shift-to-Delete Functionality for Workspace Prompts**: Added keyboard shortcut support for quick prompt deletion on the Workspace Prompts page. Hold Shift and hover over any prompt to reveal a trash icon for instant deletion, bringing consistent interaction patterns across all workspace sections (Models, Tools, Functions, and now Prompts) and streamlining prompt management workflows.
+- ♿ **Accessibility Enhancements**: Enhanced user interface accessibility with improved keyboard navigation, ARIA labels, and screen reader compatibility across key platform components.
+- 📄 **Optimized PDF Export for Smaller File Size**: PDF exports are now significantly optimized, producing much smaller files for faster downloads and easier sharing or archiving of your chats and documents.
+- 📦 **Slimmed Default Install with Optional Full Dependencies**: Installing Open WebUI via pip now defaults to a slimmer package; PostgreSQL support is no longer included by default—simply use 'pip install open-webui[all]' to include all optional dependencies for full feature compatibility.
+- 🔄 **General Backend Refactoring**: Implemented various backend improvements to enhance performance, stability, and security, ensuring a more resilient and reliable platform for all users.
+- 🌐 **Localization & Internationalization Improvements**: Enhanced and expanded translations for Finnish, Spanish, Japanese, Polish, Portuguese (Brazil), and Chinese, including missing translations and typo corrections, providing a more natural and professional user experience for speakers of these languages across the entire interface.
+
+### Fixed
+
+- ⚠️ **Chat Error Feedback Restored**: Fixed an issue where various backend errors (tool server failures, API connection issues, malformed responses) would cause chats to load indefinitely without providing user feedback. The system now properly displays error messages when failures occur during chat generation, allowing users to understand issues and retry as needed instead of waiting indefinitely.
+- 🖼️ **Image Generation Steps Setting Visibility Fixed**: Fixed a UI issue where the "Set Steps" configuration option was incorrectly displayed for OpenAI and Gemini image generation engines that don't support this parameter. The setting is now only visible for compatible engines like ComfyUI and Automatic1111, eliminating user confusion about non-functional configuration options.
+- 📄 **Datalab Marker API Document Loader Fixed**: Fixed broken Datalab Marker API document loader functionality by correcting URL path handling for both hosted Datalab services and self-hosted Marker servers. Removed hardcoded "/marker" paths from the loader code and restored proper default URL structure, ensuring PDF and document processing works correctly with both deployment types.
+- 📋 **Citation Error Handling Improved**: Fixed an issue where malformed citation or source objects from external tools, pipes, or filters would cause JavaScript errors and make the chat interface completely unresponsive. The system now gracefully handles missing or undefined citation properties, allowing conversations to load properly even when tools generate defective citation events.
+- 👥 **Group User Add API Endpoint Fixed**: Fixed an issue where the "/api/v1/groups/id/{group_id}/users/add" API endpoint would accept requests without errors but fail to actually add users to groups. The system now properly initializes and deduplicates user ID lists, ensuring users are correctly added to and removed from groups via API calls.
+- 🛠️ **External Tool Server Error Handling Improved**: Fixed an issue where unreachable or misconfigured external tool servers would cause JavaScript errors and prevent the interface from loading properly. The system now gracefully handles connection failures, displays appropriate error messages, and filters out inaccessible servers while maintaining full functionality for working connections.
+- 📋 **Code Block Copy Button Content Fixed**: Fixed an issue where the copy button in code blocks would copy the original AI-generated code instead of any user-edited content, ensuring the copy function always captures the currently displayed code as modified by users.
+- 📄 **PDF Export Content Mismatch Fixed**: Resolved an issue where exporting a PDF of one chat while viewing another chat would incorrectly generate the PDF using the currently viewed chat's content instead of the intended chat's content. Additionally optimized the PDF generation algorithm with improved canvas slicing, better memory management, and enhanced image quality, while removing the problematic PDF export option from individual chat menus to prevent further confusion.
+- 🖱️ **Windows Sidebar Cursor Icon Corrected**: Fixed confusing cursor icons on Windows systems where sidebar toggle buttons displayed resize cursors (ew-resize) instead of appropriate pointer cursors. The sidebar buttons now show standard pointer cursors on Windows, eliminating user confusion about whether the buttons expand/collapse the sidebar or resize it.
+- 📝 **Safari IME Composition Bug Fixed**: Resolved an issue where pressing Enter while composing Chinese text using Input Method Editors (IMEs) on Safari would prematurely send messages instead of completing text composition. The system now properly detects composition states and ignores keydown events that occur immediately after composition ends, ensuring smooth multilingual text input across all browsers.
+- 🔍 **Hybrid Search Parameter Handling Fixed**: Fixed an issue where the "hybrid" parameter in collection query requests was not being properly evaluated, causing the system to ignore user-specified hybrid search preferences and only check global configuration. Additionally resolved a division by zero error that occurred in hybrid search when BM25Retriever was called with empty document lists, ensuring robust search functionality across all collection states.
+- 💬 **RTL Text Orientation in Messages Fixed**: Fixed text alignment issues in user messages and AI responses for Right-to-Left languages, ensuring proper text direction based on user language settings. Code blocks now consistently use Left-to-Right orientation regardless of the user's language preference, maintaining code readability across all supported languages.
+- 📁 **File Content Preview in Modal Restored**: Fixed an issue where clicking on uploaded files would display an empty preview modal, even when the files were successfully processed and available for AI context. File content now displays correctly in the preview modal, ensuring users can verify and review their uploaded documents as intended.
+- 🌐 **Playwright Timeout Configuration Corrected**: Fixed an issue where Playwright timeout values were incorrectly converted from milliseconds to seconds with an additional 1000x multiplier, causing excessively long web loading timeouts. The timeout parameter now correctly uses the configured millisecond values as intended, ensuring responsive web search and document loading operations.
+
+### Changed
+
+- 🔄 **Follow-Up Question Language Constraint Removed**: Follow-up question suggestions no longer strictly adhere to the chat's primary language setting, allowing for more flexible and diverse suggestion generation that may include questions in different languages based on conversation context and relevance rather than enforced language matching.
+
+## [0.6.25] - 2025-08-22
+
+### Fixed
+
+- 🖼️ **Image Generation Reliability Restored**: Fixed a key issue causing image generation failures.
+- 🏆 **Reranking Functionality Restored**: Resolved errors with rerank feature.
+
 ## [0.6.24] - 2025-08-21

 ### Added
@@ -3,6 +3,8 @@
 # use build args in the docker build command with --build-arg="BUILDARG=true"
 ARG USE_CUDA=false
 ARG USE_OLLAMA=false
+ARG USE_SLIM=false
+ARG USE_PERMISSION_HARDENING=false
 # Tested with cu117 for CUDA 11 and cu121 for CUDA 12 (default)
 ARG USE_CUDA_VER=cu128
 # any sentence transformer model; models to use can be found at https://huggingface.co/models?library=sentence-transformers
@@ -24,6 +26,9 @@ ARG GID=0
 FROM --platform=$BUILDPLATFORM node:22-alpine3.20 AS build
 ARG BUILD_HASH

+# Set Node.js options (heap limit Allocation failed - JavaScript heap out of memory)
+# ENV NODE_OPTIONS="--max-old-space-size=4096"
+
 WORKDIR /app

 # to store git revision in build
@@ -43,6 +48,8 @@ FROM python:3.11-slim-bookworm AS base
 ARG USE_CUDA
 ARG USE_OLLAMA
 ARG USE_CUDA_VER
+ARG USE_SLIM
+ARG USE_PERMISSION_HARDENING
 ARG USE_EMBEDDING_MODEL
 ARG USE_RERANKING_MODEL
 ARG UID
@@ -54,6 +61,7 @@ ENV ENV=prod \
    # pass build args to the build
    USE_OLLAMA_DOCKER=${USE_OLLAMA} \
    USE_CUDA_DOCKER=${USE_CUDA} \
+    USE_SLIM_DOCKER=${USE_SLIM} \
    USE_CUDA_DOCKER_VER=${USE_CUDA_VER} \
    USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL} \
    USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL}
@@ -130,11 +138,14 @@ RUN pip3 install --no-cache-dir uv && \
    else \
    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
    uv pip install --system -r requirements.txt --no-cache-dir && \
+    if [ "$USE_SLIM" != "true" ]; then \
    python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
    python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
    python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
    fi; \
-    chown -R $UID:$GID /app/backend/data/
+    fi; \
+    mkdir -p /app/backend/data && chown -R $UID:$GID /app/backend/data/ && \
+    rm -rf /var/lib/apt/lists/*;

 # Install Ollama if requested
 RUN if [ "$USE_OLLAMA" = "true" ]; then \
@@ -163,11 +174,13 @@ HEALTHCHECK CMD curl --silent --fail http://localhost:${PORT:-8080}/health | jq
 # Minimal, atomic permission hardening for OpenShift (arbitrary UID):
 # - Group 0 owns /app and /root
 # - Directories are group-writable and have SGID so new files inherit GID 0
-RUN set -eux; \
+RUN if [ "$USE_PERMISSION_HARDENING" = "true" ]; then \
+    set -eux; \
    chgrp -R 0 /app /root || true; \
    chmod -R g+rwX /app /root || true; \
    find /app -type d -exec chmod g+s {} + || true; \
-    find /root -type d -exec chmod g+s {} + || true
+    find /root -type d -exec chmod g+s {} + || true; \
+    fi

 USER $UID:$GID

@@ -0,0 +1,11 @@
+# Open WebUI Multi-License Notice
+
+This repository contains code governed by multiple licenses based on the date and origin of contribution:
+
+1. All code committed prior to commit a76068d69cd59568b920dfab85dc573dbbb8f131 is licensed under the MIT License (see LICENSE_HISTORY).
+
+2. All code committed from commit a76068d69cd59568b920dfab85dc573dbbb8f131 up to and including commit 60d84a3aae9802339705826e9095e272e3c83623 is licensed under the BSD 3-Clause License (see LICENSE_HISTORY).
+
+3. All code contributed or modified after commit 60d84a3aae9802339705826e9095e272e3c83623 is licensed under the Open WebUI License (see LICENSE).
+
+For details on which commits are covered by which license, refer to LICENSE_HISTORY.
@@ -17,7 +17,7 @@ Passionate about open-source AI? [Join our team →](https://careers.openwebui.c
 ![Open WebUI Demo](./demo.gif)

 > [!TIP]  
-> **Looking for an [Enterprise Plan](https://docs.openwebui.com/enterprise)?** – **[Speak with Our Sales Team Today!](mailto:sales@openwebui.com)**
+> **Looking for an [Enterprise Plan](https://docs.openwebui.com/enterprise)?** – **[Speak with Our Sales Team Today!](https://docs.openwebui.com/enterprise)**
 >
 > Get **enhanced capabilities**, including **custom theming and branding**, **Service Level Agreement (SLA) support**, **Long-Term Support (LTS) versions**, and **more!**

@@ -65,43 +65,6 @@ For more information, be sure to check out our [Open WebUI Documentation](https:

 Want to learn more about Open WebUI's features? Check out our [Open WebUI documentation](https://docs.openwebui.com/features) for a comprehensive overview!

-## Sponsors 🙌
-
-#### Emerald
-
-<table>
-  <!-- <tr>
-    <td>
-      <a href="https://n8n.io/" target="_blank">
-        <img src="https://docs.openwebui.com/sponsors/logos/n8n.png" alt="n8n" style="width: 8rem; height: 8rem; border-radius: .75rem;" />
-      </a>
-    </td>
-    <td>
-      <a href="https://n8n.io/">n8n</a> • Does your interface have a backend yet?<br>Try <a href="https://n8n.io/">n8n</a>
-    </td>
-  </tr> -->
-  <tr>
-    <td>
-      <a href="https://tailscale.com/blog/self-host-a-local-ai-stack/?utm_source=OpenWebUI&utm_medium=paid-ad-placement&utm_campaign=OpenWebUI-Docs" target="_blank">
-        <img src="https://docs.openwebui.com/sponsors/logos/tailscale.png" alt="Tailscale" style="width: 8rem; height: 8rem; border-radius: .75rem;" />
-      </a>
-    </td>
-    <td>
-      <a href="https://tailscale.com/blog/self-host-a-local-ai-stack/?utm_source=OpenWebUI&utm_medium=paid-ad-placement&utm_campaign=OpenWebUI-Docs">Tailscale</a> • Connect self-hosted AI to any device with Tailscale
-    </td>
-  </tr>
-   <tr>
-    <td>
-      <a href="https://warp.dev/open-webui" target="_blank">
-        <img src="https://docs.openwebui.com/sponsors/logos/warp.png" alt="Warp" style="width: 8rem; height: 8rem; border-radius: .75rem;" />
-      </a>
-    </td>
-    <td>
-      <a href="https://warp.dev/open-webui">Warp</a> • The intelligent terminal for developers
-    </td>
-  </tr>
-</table>
-
 ---

 We are incredibly grateful for the generous support of our sponsors. Their contributions help us to maintain and improve our project, ensuring we can continue to deliver quality work to our community. Thank you!
@@ -248,7 +211,7 @@ Discover upcoming features on our roadmap in the [Open WebUI Documentation](http

 ## License 📜

-This project is licensed under the [Open WebUI License](LICENSE), a revised BSD-3-Clause license. You receive all the same rights as the classic BSD-3 license: you can use, modify, and distribute the software, including in proprietary and commercial products, with minimal restrictions. The only additional requirement is to preserve the "Open WebUI" branding, as detailed in the LICENSE file. For full terms, see the [LICENSE](LICENSE) document. 📄
+This project contains code under multiple licenses. The current codebase includes components licensed under the Open WebUI License with an additional requirement to preserve the "Open WebUI" branding, as well as prior contributions under their respective original licenses. For a detailed record of license changes and the applicable terms for each section of the code, please refer to [LICENSE_HISTORY](./LICENSE_HISTORY). For complete and updated licensing details, please see the [LICENSE](./LICENSE) and [LICENSE_HISTORY](./LICENSE_HISTORY) files.

 ## Support 💬

@@ -1,3 +1,3 @@
-export CORS_ALLOW_ORIGIN="http://localhost:5173"
+export CORS_ALLOW_ORIGIN="http://localhost:5173;http://localhost:8080"
 PORT="${PORT:-8080}"
 uvicorn open_webui.main:app --port $PORT --host 0.0.0.0 --forwarded-allow-ips '*' --reload
@@ -222,10 +222,11 @@ class PersistentConfig(Generic[T]):


 class AppConfig:
-    _state: dict[str, PersistentConfig]
    _redis: Union[redis.Redis, redis.cluster.RedisCluster] = None
    _redis_key_prefix: str

+    _state: dict[str, PersistentConfig]
+
    def __init__(
        self,
        redis_url: Optional[str] = None,
@@ -233,9 +234,8 @@ class AppConfig:
        redis_cluster: Optional[bool] = False,
        redis_key_prefix: str = "open-webui",
    ):
-        super().__setattr__("_state", {})
-        super().__setattr__("_redis_key_prefix", redis_key_prefix)
        if redis_url:
+            super().__setattr__("_redis_key_prefix", redis_key_prefix)
            super().__setattr__(
                "_redis",
                get_redis_connection(
@@ -246,6 +246,8 @@ class AppConfig:
                ),
            )

+        super().__setattr__("_state", {})
+
    def __setattr__(self, key, value):
        if isinstance(value, PersistentConfig):
            self._state[key] = value
@@ -305,15 +307,21 @@ API_KEY_ALLOWED_ENDPOINTS = PersistentConfig(


 JWT_EXPIRES_IN = PersistentConfig(
-    "JWT_EXPIRES_IN", "auth.jwt_expiry", os.environ.get("JWT_EXPIRES_IN", "-1")
+    "JWT_EXPIRES_IN", "auth.jwt_expiry", os.environ.get("JWT_EXPIRES_IN", "4w")
 )

+if JWT_EXPIRES_IN.value == "-1":
+    log.warning(
+        "⚠️  SECURITY WARNING: JWT_EXPIRES_IN is set to '-1'\n"
+        "    See: https://docs.openwebui.com/getting-started/env-configuration\n"
+    )
+
 ####################################
 # OAuth config
 ####################################

 ENABLE_OAUTH_PERSISTENT_CONFIG = (
-    os.environ.get("ENABLE_OAUTH_PERSISTENT_CONFIG", "True").lower() == "true"
+    os.environ.get("ENABLE_OAUTH_PERSISTENT_CONFIG", "False").lower() == "true"
 )

 ENABLE_OAUTH_SIGNUP = PersistentConfig(
@@ -513,6 +521,30 @@ OAUTH_GROUPS_CLAIM = PersistentConfig(
    os.environ.get("OAUTH_GROUPS_CLAIM", os.environ.get("OAUTH_GROUP_CLAIM", "groups")),
 )

+FEISHU_CLIENT_ID = PersistentConfig(
+    "FEISHU_CLIENT_ID",
+    "oauth.feishu.client_id",
+    os.environ.get("FEISHU_CLIENT_ID", ""),
+)
+
+FEISHU_CLIENT_SECRET = PersistentConfig(
+    "FEISHU_CLIENT_SECRET",
+    "oauth.feishu.client_secret",
+    os.environ.get("FEISHU_CLIENT_SECRET", ""),
+)
+
+FEISHU_OAUTH_SCOPE = PersistentConfig(
+    "FEISHU_OAUTH_SCOPE",
+    "oauth.feishu.scope",
+    os.environ.get("FEISHU_OAUTH_SCOPE", "contact:user.base:readonly"),
+)
+
+FEISHU_REDIRECT_URI = PersistentConfig(
+    "FEISHU_REDIRECT_URI",
+    "oauth.feishu.redirect_uri",
+    os.environ.get("FEISHU_REDIRECT_URI", ""),
+)
+
 ENABLE_OAUTH_ROLE_MANAGEMENT = PersistentConfig(
    "ENABLE_OAUTH_ROLE_MANAGEMENT",
    "oauth.enable_role_mapping",
@@ -538,25 +570,34 @@ OAUTH_BLOCKED_GROUPS = PersistentConfig(
    os.environ.get("OAUTH_BLOCKED_GROUPS", "[]"),
 )

+OAUTH_GROUPS_SEPARATOR = os.environ.get("OAUTH_GROUPS_SEPARATOR", ";")
+
 OAUTH_ROLES_CLAIM = PersistentConfig(
    "OAUTH_ROLES_CLAIM",
    "oauth.roles_claim",
    os.environ.get("OAUTH_ROLES_CLAIM", "roles"),
 )

+SEP = os.environ.get("OAUTH_ROLES_SEPARATOR", ",")
+
 OAUTH_ALLOWED_ROLES = PersistentConfig(
    "OAUTH_ALLOWED_ROLES",
    "oauth.allowed_roles",
    [
        role.strip()
-        for role in os.environ.get("OAUTH_ALLOWED_ROLES", "user,admin").split(",")
+        for role in os.environ.get("OAUTH_ALLOWED_ROLES", f"user{SEP}admin").split(SEP)
+        if role
    ],
 )

 OAUTH_ADMIN_ROLES = PersistentConfig(
    "OAUTH_ADMIN_ROLES",
    "oauth.admin_roles",
-    [role.strip() for role in os.environ.get("OAUTH_ADMIN_ROLES", "admin").split(",")],
+    [
+        role.strip()
+        for role in os.environ.get("OAUTH_ADMIN_ROLES", "admin").split(SEP)
+        if role
+    ],
 )

 OAUTH_ALLOWED_DOMAINS = PersistentConfig(
@@ -579,8 +620,8 @@ def load_oauth_providers():
    OAUTH_PROVIDERS.clear()
    if GOOGLE_CLIENT_ID.value and GOOGLE_CLIENT_SECRET.value:

-        def google_oauth_register(client: OAuth):
-            client.register(
+        def google_oauth_register(oauth: OAuth):
+            client = oauth.register(
                name="google",
                client_id=GOOGLE_CLIENT_ID.value,
                client_secret=GOOGLE_CLIENT_SECRET.value,
@@ -595,6 +636,7 @@ def load_oauth_providers():
                },
                redirect_uri=GOOGLE_REDIRECT_URI.value,
            )
+            return client

        OAUTH_PROVIDERS["google"] = {
            "redirect_uri": GOOGLE_REDIRECT_URI.value,
@@ -607,8 +649,8 @@ def load_oauth_providers():
        and MICROSOFT_CLIENT_TENANT_ID.value
    ):

-        def microsoft_oauth_register(client: OAuth):
-            client.register(
+        def microsoft_oauth_register(oauth: OAuth):
+            client = oauth.register(
                name="microsoft",
                client_id=MICROSOFT_CLIENT_ID.value,
                client_secret=MICROSOFT_CLIENT_SECRET.value,
@@ -623,6 +665,7 @@ def load_oauth_providers():
                },
                redirect_uri=MICROSOFT_REDIRECT_URI.value,
            )
+            return client

        OAUTH_PROVIDERS["microsoft"] = {
            "redirect_uri": MICROSOFT_REDIRECT_URI.value,
@@ -632,8 +675,8 @@ def load_oauth_providers():

    if GITHUB_CLIENT_ID.value and GITHUB_CLIENT_SECRET.value:

-        def github_oauth_register(client: OAuth):
-            client.register(
+        def github_oauth_register(oauth: OAuth):
+            client = oauth.register(
                name="github",
                client_id=GITHUB_CLIENT_ID.value,
                client_secret=GITHUB_CLIENT_SECRET.value,
@@ -651,6 +694,7 @@ def load_oauth_providers():
                },
                redirect_uri=GITHUB_CLIENT_REDIRECT_URI.value,
            )
+            return client

        OAUTH_PROVIDERS["github"] = {
            "redirect_uri": GITHUB_CLIENT_REDIRECT_URI.value,
@@ -660,11 +704,11 @@ def load_oauth_providers():

    if (
        OAUTH_CLIENT_ID.value
-        and OAUTH_CLIENT_SECRET.value
+        and (OAUTH_CLIENT_SECRET.value or OAUTH_CODE_CHALLENGE_METHOD.value)
        and OPENID_PROVIDER_URL.value
    ):

-        def oidc_oauth_register(client: OAuth):
+        def oidc_oauth_register(oauth: OAuth):
            client_kwargs = {
                "scope": OAUTH_SCOPES.value,
                **(
@@ -690,7 +734,7 @@ def load_oauth_providers():
                    % ("S256", OAUTH_CODE_CHALLENGE_METHOD.value)
                )

-            client.register(
+            client = oauth.register(
                name="oidc",
                client_id=OAUTH_CLIENT_ID.value,
                client_secret=OAUTH_CLIENT_SECRET.value,
@@ -698,6 +742,7 @@ def load_oauth_providers():
                client_kwargs=client_kwargs,
                redirect_uri=OPENID_REDIRECT_URI.value,
            )
+            return client

        OAUTH_PROVIDERS["oidc"] = {
            "name": OAUTH_PROVIDER_NAME.value,
@@ -705,6 +750,34 @@ def load_oauth_providers():
            "register": oidc_oauth_register,
        }

+    if FEISHU_CLIENT_ID.value and FEISHU_CLIENT_SECRET.value:
+
+        def feishu_oauth_register(oauth: OAuth):
+            client = oauth.register(
+                name="feishu",
+                client_id=FEISHU_CLIENT_ID.value,
+                client_secret=FEISHU_CLIENT_SECRET.value,
+                access_token_url="https://open.feishu.cn/open-apis/authen/v2/oauth/token",
+                authorize_url="https://accounts.feishu.cn/open-apis/authen/v1/authorize",
+                api_base_url="https://open.feishu.cn/open-apis",
+                userinfo_endpoint="https://open.feishu.cn/open-apis/authen/v1/user_info",
+                client_kwargs={
+                    "scope": FEISHU_OAUTH_SCOPE.value,
+                    **(
+                        {"timeout": int(OAUTH_TIMEOUT.value)}
+                        if OAUTH_TIMEOUT.value
+                        else {}
+                    ),
+                },
+                redirect_uri=FEISHU_REDIRECT_URI.value,
+            )
+            return client
+
+        OAUTH_PROVIDERS["feishu"] = {
+            "register": feishu_oauth_register,
+            "sub_claim": "user_id",
+        }
+
    configured_providers = []
    if GOOGLE_CLIENT_ID.value:
        configured_providers.append("Google")
@@ -712,6 +785,8 @@ def load_oauth_providers():
        configured_providers.append("Microsoft")
    if GITHUB_CLIENT_ID.value:
        configured_providers.append("GitHub")
+    if FEISHU_CLIENT_ID.value:
+        configured_providers.append("Feishu")

    if configured_providers and not OPENID_PROVIDER_URL.value:
        provider_list = ", ".join(configured_providers)
@@ -1162,6 +1237,11 @@ USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING = (
    == "true"
 )

+USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING = (
+    os.environ.get("USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING", "False").lower()
+    == "true"
+)
+
 USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING = (
    os.environ.get(
        "USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING", "False"
@@ -1208,6 +1288,23 @@ USER_PERMISSIONS_CHAT_DELETE = (
    os.environ.get("USER_PERMISSIONS_CHAT_DELETE", "True").lower() == "true"
 )

+USER_PERMISSIONS_CHAT_DELETE_MESSAGE = (
+    os.environ.get("USER_PERMISSIONS_CHAT_DELETE_MESSAGE", "True").lower() == "true"
+)
+
+USER_PERMISSIONS_CHAT_CONTINUE_RESPONSE = (
+    os.environ.get("USER_PERMISSIONS_CHAT_CONTINUE_RESPONSE", "True").lower() == "true"
+)
+
+USER_PERMISSIONS_CHAT_REGENERATE_RESPONSE = (
+    os.environ.get("USER_PERMISSIONS_CHAT_REGENERATE_RESPONSE", "True").lower()
+    == "true"
+)
+
+USER_PERMISSIONS_CHAT_RATE_RESPONSE = (
+    os.environ.get("USER_PERMISSIONS_CHAT_RATE_RESPONSE", "True").lower() == "true"
+)
+
 USER_PERMISSIONS_CHAT_EDIT = (
    os.environ.get("USER_PERMISSIONS_CHAT_EDIT", "True").lower() == "true"
 )
@@ -1282,6 +1379,7 @@ DEFAULT_USER_PERMISSIONS = {
        "public_knowledge": USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING,
        "public_prompts": USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_PUBLIC_SHARING,
        "public_tools": USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_PUBLIC_SHARING,
+        "public_notes": USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING,
    },
    "chat": {
        "controls": USER_PERMISSIONS_CHAT_CONTROLS,
@@ -1290,6 +1388,10 @@ DEFAULT_USER_PERMISSIONS = {
        "params": USER_PERMISSIONS_CHAT_PARAMS,
        "file_upload": USER_PERMISSIONS_CHAT_FILE_UPLOAD,
        "delete": USER_PERMISSIONS_CHAT_DELETE,
+        "delete_message": USER_PERMISSIONS_CHAT_DELETE_MESSAGE,
+        "continue_response": USER_PERMISSIONS_CHAT_CONTINUE_RESPONSE,
+        "regenerate_response": USER_PERMISSIONS_CHAT_REGENERATE_RESPONSE,
+        "rate_response": USER_PERMISSIONS_CHAT_RATE_RESPONSE,
        "edit": USER_PERMISSIONS_CHAT_EDIT,
        "share": USER_PERMISSIONS_CHAT_SHARE,
        "export": USER_PERMISSIONS_CHAT_EXPORT,
@@ -1576,7 +1678,7 @@ FOLLOW_UP_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
 )

 DEFAULT_FOLLOW_UP_GENERATION_PROMPT_TEMPLATE = """### Task:
-Suggest 3-5 relevant follow-up questions or prompts in the chat's primary language that the user might naturally ask next in this conversation as a **user**, based on the chat history, to help continue or deepen the discussion.
+Suggest 3-5 relevant follow-up questions or prompts that the user might naturally ask next in this conversation as a **user**, based on the chat history, to help continue or deepen the discussion.
 ### Guidelines:
 - Write all follow-up questions from the user’s point of view, directed to the assistant.
 - Make questions concise, clear, and directly related to the discussed topic(s).
@@ -1923,16 +2025,23 @@ if VECTOR_DB == "chroma":
 # this uses the model defined in the Dockerfile ENV variable. If you dont use docker or docker based deployments such as k8s, the default embedding model will be used (sentence-transformers/all-MiniLM-L6-v2)

 # Milvus
-
 MILVUS_URI = os.environ.get("MILVUS_URI", f"{DATA_DIR}/vector_db/milvus.db")
 MILVUS_DB = os.environ.get("MILVUS_DB", "default")
 MILVUS_TOKEN = os.environ.get("MILVUS_TOKEN", None)
-
 MILVUS_INDEX_TYPE = os.environ.get("MILVUS_INDEX_TYPE", "HNSW")
 MILVUS_METRIC_TYPE = os.environ.get("MILVUS_METRIC_TYPE", "COSINE")
 MILVUS_HNSW_M = int(os.environ.get("MILVUS_HNSW_M", "16"))
 MILVUS_HNSW_EFCONSTRUCTION = int(os.environ.get("MILVUS_HNSW_EFCONSTRUCTION", "100"))
 MILVUS_IVF_FLAT_NLIST = int(os.environ.get("MILVUS_IVF_FLAT_NLIST", "128"))
+MILVUS_DISKANN_MAX_DEGREE = int(os.environ.get("MILVUS_DISKANN_MAX_DEGREE", "56"))
+MILVUS_DISKANN_SEARCH_LIST_SIZE = int(
+    os.environ.get("MILVUS_DISKANN_SEARCH_LIST_SIZE", "100")
+)
+ENABLE_MILVUS_MULTITENANCY_MODE = (
+    os.environ.get("ENABLE_MILVUS_MULTITENANCY_MODE", "false").lower() == "true"
+)
+# Hyphens not allowed, need to use underscores in collection names
+MILVUS_COLLECTION_PREFIX = os.environ.get("MILVUS_COLLECTION_PREFIX", "open_webui")

 # Qdrant
 QDRANT_URI = os.environ.get("QDRANT_URI", None)
@@ -1977,6 +2086,9 @@ PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH = int(
    os.environ.get("PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH", "1536")
 )

+PGVECTOR_CREATE_EXTENSION = (
+    os.getenv("PGVECTOR_CREATE_EXTENSION", "true").lower() == "true"
+)
 PGVECTOR_PGCRYPTO = os.getenv("PGVECTOR_PGCRYPTO", "false").lower() == "true"
 PGVECTOR_PGCRYPTO_KEY = os.getenv("PGVECTOR_PGCRYPTO_KEY", None)
 if PGVECTOR_PGCRYPTO and not PGVECTOR_PGCRYPTO_KEY:
@@ -2092,10 +2204,20 @@ ENABLE_ONEDRIVE_INTEGRATION = PersistentConfig(
    os.getenv("ENABLE_ONEDRIVE_INTEGRATION", "False").lower() == "true",
 )

-ONEDRIVE_CLIENT_ID = PersistentConfig(
-    "ONEDRIVE_CLIENT_ID",
-    "onedrive.client_id",
-    os.environ.get("ONEDRIVE_CLIENT_ID", ""),
+
+ENABLE_ONEDRIVE_PERSONAL = (
+    os.environ.get("ENABLE_ONEDRIVE_PERSONAL", "True").lower() == "true"
+)
+ENABLE_ONEDRIVE_BUSINESS = (
+    os.environ.get("ENABLE_ONEDRIVE_BUSINESS", "True").lower() == "true"
+)
+
+ONEDRIVE_CLIENT_ID = os.environ.get("ONEDRIVE_CLIENT_ID", "")
+ONEDRIVE_CLIENT_ID_PERSONAL = os.environ.get(
+    "ONEDRIVE_CLIENT_ID_PERSONAL", ONEDRIVE_CLIENT_ID
+)
+ONEDRIVE_CLIENT_ID_BUSINESS = os.environ.get(
+    "ONEDRIVE_CLIENT_ID_BUSINESS", ONEDRIVE_CLIENT_ID
 )

 ONEDRIVE_SHAREPOINT_URL = PersistentConfig(
@@ -2184,6 +2306,36 @@ DATALAB_MARKER_OUTPUT_FORMAT = PersistentConfig(
    os.environ.get("DATALAB_MARKER_OUTPUT_FORMAT", "markdown"),
 )

+MINERU_API_MODE = PersistentConfig(
+    "MINERU_API_MODE",
+    "rag.mineru_api_mode",
+    os.environ.get("MINERU_API_MODE", "local"),  # "local" or "cloud"
+)
+
+MINERU_API_URL = PersistentConfig(
+    "MINERU_API_URL",
+    "rag.mineru_api_url",
+    os.environ.get("MINERU_API_URL", "http://localhost:8000"),
+)
+
+MINERU_API_KEY = PersistentConfig(
+    "MINERU_API_KEY",
+    "rag.mineru_api_key",
+    os.environ.get("MINERU_API_KEY", ""),
+)
+
+mineru_params = os.getenv("MINERU_PARAMS", "")
+try:
+    mineru_params = json.loads(mineru_params)
+except json.JSONDecodeError:
+    mineru_params = {}
+
+MINERU_PARAMS = PersistentConfig(
+    "MINERU_PARAMS",
+    "rag.mineru_params",
+    mineru_params,
+)
+
 EXTERNAL_DOCUMENT_LOADER_URL = PersistentConfig(
    "EXTERNAL_DOCUMENT_LOADER_URL",
    "rag.external_document_loader_url",
@@ -2208,6 +2360,30 @@ DOCLING_SERVER_URL = PersistentConfig(
    os.getenv("DOCLING_SERVER_URL", "http://docling:5001"),
 )

+docling_params = os.getenv("DOCLING_PARAMS", "")
+try:
+    docling_params = json.loads(docling_params)
+except json.JSONDecodeError:
+    docling_params = {}
+
+DOCLING_PARAMS = PersistentConfig(
+    "DOCLING_PARAMS",
+    "rag.docling_params",
+    docling_params,
+)
+
+DOCLING_DO_OCR = PersistentConfig(
+    "DOCLING_DO_OCR",
+    "rag.docling_do_ocr",
+    os.getenv("DOCLING_DO_OCR", "True").lower() == "true",
+)
+
+DOCLING_FORCE_OCR = PersistentConfig(
+    "DOCLING_FORCE_OCR",
+    "rag.docling_force_ocr",
+    os.getenv("DOCLING_FORCE_OCR", "False").lower() == "true",
+)
+
 DOCLING_OCR_ENGINE = PersistentConfig(
    "DOCLING_OCR_ENGINE",
    "rag.docling_ocr_engine",
@@ -2220,6 +2396,24 @@ DOCLING_OCR_LANG = PersistentConfig(
    os.getenv("DOCLING_OCR_LANG", "eng,fra,deu,spa"),
 )

+DOCLING_PDF_BACKEND = PersistentConfig(
+    "DOCLING_PDF_BACKEND",
+    "rag.docling_pdf_backend",
+    os.getenv("DOCLING_PDF_BACKEND", "dlparse_v4"),
+)
+
+DOCLING_TABLE_MODE = PersistentConfig(
+    "DOCLING_TABLE_MODE",
+    "rag.docling_table_mode",
+    os.getenv("DOCLING_TABLE_MODE", "accurate"),
+)
+
+DOCLING_PIPELINE = PersistentConfig(
+    "DOCLING_PIPELINE",
+    "rag.docling_pipeline",
+    os.getenv("DOCLING_PIPELINE", "standard"),
+)
+
 DOCLING_DO_PICTURE_DESCRIPTION = PersistentConfig(
    "DOCLING_DO_PICTURE_DESCRIPTION",
    "rag.docling_do_picture_description",
@@ -2272,6 +2466,12 @@ DOCUMENT_INTELLIGENCE_KEY = PersistentConfig(
    os.getenv("DOCUMENT_INTELLIGENCE_KEY", ""),
 )

+MISTRAL_OCR_API_BASE_URL = PersistentConfig(
+    "MISTRAL_OCR_API_BASE_URL",
+    "rag.MISTRAL_OCR_API_BASE_URL",
+    os.getenv("MISTRAL_OCR_API_BASE_URL", "https://api.mistral.ai/v1"),
+)
+
 MISTRAL_OCR_API_KEY = PersistentConfig(
    "MISTRAL_OCR_API_KEY",
    "rag.mistral_ocr_api_key",
@@ -2648,6 +2848,12 @@ WEB_SEARCH_TRUST_ENV = PersistentConfig(
 )


+OLLAMA_CLOUD_WEB_SEARCH_API_KEY = PersistentConfig(
+    "OLLAMA_CLOUD_WEB_SEARCH_API_KEY",
+    "rag.web.search.ollama_cloud_api_key",
+    os.getenv("OLLAMA_CLOUD_API_KEY", ""),
+)
+
 SEARXNG_QUERY_URL = PersistentConfig(
    "SEARXNG_QUERY_URL",
    "rag.web.search.searxng_query_url",
@@ -2876,16 +3082,30 @@ EXTERNAL_WEB_LOADER_API_KEY = PersistentConfig(
 # Images
 ####################################

+ENABLE_IMAGE_GENERATION = PersistentConfig(
+    "ENABLE_IMAGE_GENERATION",
+    "image_generation.enable",
+    os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true",
+)
+
 IMAGE_GENERATION_ENGINE = PersistentConfig(
    "IMAGE_GENERATION_ENGINE",
    "image_generation.engine",
    os.getenv("IMAGE_GENERATION_ENGINE", "openai"),
 )

-ENABLE_IMAGE_GENERATION = PersistentConfig(
-    "ENABLE_IMAGE_GENERATION",
-    "image_generation.enable",
-    os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true",
+IMAGE_GENERATION_MODEL = PersistentConfig(
+    "IMAGE_GENERATION_MODEL",
+    "image_generation.model",
+    os.getenv("IMAGE_GENERATION_MODEL", ""),
+)
+
+IMAGE_SIZE = PersistentConfig(
+    "IMAGE_SIZE", "image_generation.size", os.getenv("IMAGE_SIZE", "512x512")
+)
+
+IMAGE_STEPS = PersistentConfig(
+    "IMAGE_STEPS", "image_generation.steps", int(os.getenv("IMAGE_STEPS", 50))
 )

 ENABLE_IMAGE_PROMPT_GENERATION = PersistentConfig(
@@ -2905,35 +3125,17 @@ AUTOMATIC1111_API_AUTH = PersistentConfig(
    os.getenv("AUTOMATIC1111_API_AUTH", ""),
 )

-AUTOMATIC1111_CFG_SCALE = PersistentConfig(
-    "AUTOMATIC1111_CFG_SCALE",
-    "image_generation.automatic1111.cfg_scale",
-    (
-        float(os.environ.get("AUTOMATIC1111_CFG_SCALE"))
-        if os.environ.get("AUTOMATIC1111_CFG_SCALE")
-        else None
-    ),
-)
+automatic1111_params = os.getenv("AUTOMATIC1111_PARAMS", "")
+try:
+    automatic1111_params = json.loads(automatic1111_params)
+except json.JSONDecodeError:
+    automatic1111_params = {}


-AUTOMATIC1111_SAMPLER = PersistentConfig(
-    "AUTOMATIC1111_SAMPLER",
-    "image_generation.automatic1111.sampler",
-    (
-        os.environ.get("AUTOMATIC1111_SAMPLER")
-        if os.environ.get("AUTOMATIC1111_SAMPLER")
-        else None
-    ),
-)
-
-AUTOMATIC1111_SCHEDULER = PersistentConfig(
-    "AUTOMATIC1111_SCHEDULER",
-    "image_generation.automatic1111.scheduler",
-    (
-        os.environ.get("AUTOMATIC1111_SCHEDULER")
-        if os.environ.get("AUTOMATIC1111_SCHEDULER")
-        else None
-    ),
+AUTOMATIC1111_PARAMS = PersistentConfig(
+    "AUTOMATIC1111_PARAMS",
+    "image_generation.automatic1111.api_auth",
+    automatic1111_params,
 )

 COMFYUI_BASE_URL = PersistentConfig(
@@ -3076,6 +3278,12 @@ IMAGES_OPENAI_API_BASE_URL = PersistentConfig(
    "image_generation.openai.api_base_url",
    os.getenv("IMAGES_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL),
 )
+IMAGES_OPENAI_API_VERSION = PersistentConfig(
+    "IMAGES_OPENAI_API_VERSION",
+    "image_generation.openai.api_version",
+    os.getenv("IMAGES_OPENAI_API_VERSION", ""),
+)
+
 IMAGES_OPENAI_API_KEY = PersistentConfig(
    "IMAGES_OPENAI_API_KEY",
    "image_generation.openai.api_key",
@@ -3093,18 +3301,79 @@ IMAGES_GEMINI_API_KEY = PersistentConfig(
    os.getenv("IMAGES_GEMINI_API_KEY", GEMINI_API_KEY),
 )

-IMAGE_SIZE = PersistentConfig(
-    "IMAGE_SIZE", "image_generation.size", os.getenv("IMAGE_SIZE", "512x512")
+IMAGES_GEMINI_ENDPOINT_METHOD = PersistentConfig(
+    "IMAGES_GEMINI_ENDPOINT_METHOD",
+    "image_generation.gemini.endpoint_method",
+    os.getenv("IMAGES_GEMINI_ENDPOINT_METHOD", ""),
 )

-IMAGE_STEPS = PersistentConfig(
-    "IMAGE_STEPS", "image_generation.steps", int(os.getenv("IMAGE_STEPS", 50))
+
+IMAGE_EDIT_ENGINE = PersistentConfig(
+    "IMAGE_EDIT_ENGINE",
+    "images.edit.engine",
+    os.getenv("IMAGE_EDIT_ENGINE", "openai"),
 )

-IMAGE_GENERATION_MODEL = PersistentConfig(
-    "IMAGE_GENERATION_MODEL",
-    "image_generation.model",
-    os.getenv("IMAGE_GENERATION_MODEL", ""),
+IMAGE_EDIT_MODEL = PersistentConfig(
+    "IMAGE_EDIT_MODEL",
+    "images.edit.model",
+    os.getenv("IMAGE_EDIT_MODEL", ""),
+)
+
+IMAGE_EDIT_SIZE = PersistentConfig(
+    "IMAGE_EDIT_SIZE", "images.edit.size", os.getenv("IMAGE_EDIT_SIZE", "")
+)
+
+IMAGES_EDIT_OPENAI_API_BASE_URL = PersistentConfig(
+    "IMAGES_EDIT_OPENAI_API_BASE_URL",
+    "images.edit.openai.api_base_url",
+    os.getenv("IMAGES_EDIT_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL),
+)
+IMAGES_EDIT_OPENAI_API_VERSION = PersistentConfig(
+    "IMAGES_EDIT_OPENAI_API_VERSION",
+    "images.edit.openai.api_version",
+    os.getenv("IMAGES_EDIT_OPENAI_API_VERSION", ""),
+)
+
+IMAGES_EDIT_OPENAI_API_KEY = PersistentConfig(
+    "IMAGES_EDIT_OPENAI_API_KEY",
+    "images.edit.openai.api_key",
+    os.getenv("IMAGES_EDIT_OPENAI_API_KEY", OPENAI_API_KEY),
+)
+
+IMAGES_EDIT_GEMINI_API_BASE_URL = PersistentConfig(
+    "IMAGES_EDIT_GEMINI_API_BASE_URL",
+    "images.edit.gemini.api_base_url",
+    os.getenv("IMAGES_EDIT_GEMINI_API_BASE_URL", GEMINI_API_BASE_URL),
+)
+IMAGES_EDIT_GEMINI_API_KEY = PersistentConfig(
+    "IMAGES_EDIT_GEMINI_API_KEY",
+    "images.edit.gemini.api_key",
+    os.getenv("IMAGES_EDIT_GEMINI_API_KEY", GEMINI_API_KEY),
+)
+
+
+IMAGES_EDIT_COMFYUI_BASE_URL = PersistentConfig(
+    "IMAGES_EDIT_COMFYUI_BASE_URL",
+    "images.edit.comfyui.base_url",
+    os.getenv("IMAGES_EDIT_COMFYUI_BASE_URL", ""),
+)
+IMAGES_EDIT_COMFYUI_API_KEY = PersistentConfig(
+    "IMAGES_EDIT_COMFYUI_API_KEY",
+    "images.edit.comfyui.api_key",
+    os.getenv("IMAGES_EDIT_COMFYUI_API_KEY", ""),
+)
+
+IMAGES_EDIT_COMFYUI_WORKFLOW = PersistentConfig(
+    "IMAGES_EDIT_COMFYUI_WORKFLOW",
+    "images.edit.comfyui.workflow",
+    os.getenv("IMAGES_EDIT_COMFYUI_WORKFLOW", ""),
+)
+
+IMAGES_EDIT_COMFYUI_WORKFLOW_NODES = PersistentConfig(
+    "IMAGES_EDIT_COMFYUI_WORKFLOW_NODES",
+    "images.edit.comfyui.nodes",
+    [],
 )

 ####################################
@@ -3139,6 +3408,10 @@ DEEPGRAM_API_KEY = PersistentConfig(
    os.getenv("DEEPGRAM_API_KEY", ""),
 )

+# ElevenLabs configuration
+ELEVENLABS_API_BASE_URL = os.getenv(
+    "ELEVENLABS_API_BASE_URL", "https://api.elevenlabs.io"
+)

 AUDIO_STT_OPENAI_API_BASE_URL = PersistentConfig(
    "AUDIO_STT_OPENAI_API_BASE_URL",
@@ -3206,6 +3479,24 @@ AUDIO_STT_AZURE_MAX_SPEAKERS = PersistentConfig(
    os.getenv("AUDIO_STT_AZURE_MAX_SPEAKERS", ""),
 )

+AUDIO_STT_MISTRAL_API_KEY = PersistentConfig(
+    "AUDIO_STT_MISTRAL_API_KEY",
+    "audio.stt.mistral.api_key",
+    os.getenv("AUDIO_STT_MISTRAL_API_KEY", ""),
+)
+
+AUDIO_STT_MISTRAL_API_BASE_URL = PersistentConfig(
+    "AUDIO_STT_MISTRAL_API_BASE_URL",
+    "audio.stt.mistral.api_base_url",
+    os.getenv("AUDIO_STT_MISTRAL_API_BASE_URL", "https://api.mistral.ai/v1"),
+)
+
+AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS = PersistentConfig(
+    "AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS",
+    "audio.stt.mistral.use_chat_completions",
+    os.getenv("AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS", "false").lower() == "true",
+)
+
 AUDIO_TTS_OPENAI_API_BASE_URL = PersistentConfig(
    "AUDIO_TTS_OPENAI_API_BASE_URL",
    "audio.tts.openai.api_base_url",
@@ -3217,6 +3508,19 @@ AUDIO_TTS_OPENAI_API_KEY = PersistentConfig(
    os.getenv("AUDIO_TTS_OPENAI_API_KEY", OPENAI_API_KEY),
 )

+audio_tts_openai_params = os.getenv("AUDIO_TTS_OPENAI_PARAMS", "")
+try:
+    audio_tts_openai_params = json.loads(audio_tts_openai_params)
+except json.JSONDecodeError:
+    audio_tts_openai_params = {}
+
+AUDIO_TTS_OPENAI_PARAMS = PersistentConfig(
+    "AUDIO_TTS_OPENAI_PARAMS",
+    "audio.tts.openai.params",
+    audio_tts_openai_params,
+)
+
+
 AUDIO_TTS_API_KEY = PersistentConfig(
    "AUDIO_TTS_API_KEY",
    "audio.tts.api_key",
@@ -38,6 +38,7 @@ class ERROR_MESSAGES(str, Enum):
    ID_TAKEN = "Uh-oh! This id is already registered. Please choose another id string."
    MODEL_ID_TAKEN = "Uh-oh! This model id is already registered. Please choose another model id string."
    NAME_TAG_TAKEN = "Uh-oh! This name tag is already registered. Please choose another name tag string."
+    MODEL_ID_TOO_LONG = "The model id is too long. Please make sure your model id is less than 256 characters long."

    INVALID_TOKEN = (
        "Your session has expired or the token is invalid. Please sign in again."
@@ -212,6 +212,11 @@ ENABLE_FORWARD_USER_INFO_HEADERS = (
    os.environ.get("ENABLE_FORWARD_USER_INFO_HEADERS", "False").lower() == "true"
 )

+# Experimental feature, may be removed in future
+ENABLE_STAR_SESSIONS_MIDDLEWARE = (
+    os.environ.get("ENABLE_STAR_SESSIONS_MIDDLEWARE", "False").lower() == "true"
+)
+
 ####################################
 # WEBUI_BUILD_HASH
 ####################################
@@ -362,6 +367,8 @@ ENABLE_REALTIME_CHAT_SAVE = (
    os.environ.get("ENABLE_REALTIME_CHAT_SAVE", "False").lower() == "true"
 )

+ENABLE_QUERIES_CACHE = os.environ.get("ENABLE_QUERIES_CACHE", "False").lower() == "true"
+
 ####################################
 # REDIS
 ####################################
@@ -402,6 +409,10 @@ except ValueError:
 ####################################

 WEBUI_AUTH = os.environ.get("WEBUI_AUTH", "True").lower() == "true"
+
+ENABLE_INITIAL_ADMIN_SIGNUP = (
+    os.environ.get("ENABLE_INITIAL_ADMIN_SIGNUP", "False").lower() == "true"
+)
 ENABLE_SIGNUP_PASSWORD_CONFIRMATION = (
    os.environ.get("ENABLE_SIGNUP_PASSWORD_CONFIRMATION", "False").lower() == "true"
 )
@@ -459,6 +470,24 @@ ENABLE_COMPRESSION_MIDDLEWARE = (
    os.environ.get("ENABLE_COMPRESSION_MIDDLEWARE", "True").lower() == "true"
 )

+####################################
+# OAUTH Configuration
+####################################
+ENABLE_OAUTH_EMAIL_FALLBACK = (
+    os.environ.get("ENABLE_OAUTH_EMAIL_FALLBACK", "False").lower() == "true"
+)
+
+ENABLE_OAUTH_ID_TOKEN_COOKIE = (
+    os.environ.get("ENABLE_OAUTH_ID_TOKEN_COOKIE", "True").lower() == "true"
+)
+
+OAUTH_CLIENT_INFO_ENCRYPTION_KEY = os.environ.get(
+    "OAUTH_CLIENT_INFO_ENCRYPTION_KEY", WEBUI_SECRET_KEY
+)
+
+OAUTH_SESSION_TOKEN_ENCRYPTION_KEY = os.environ.get(
+    "OAUTH_SESSION_TOKEN_ENCRYPTION_KEY", WEBUI_SECRET_KEY
+)

 ####################################
 # SCIM Configuration
@@ -527,6 +556,19 @@ else:
        CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE = 1


+CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES = os.environ.get(
+    "CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES", "30"
+)
+
+if CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES == "":
+    CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES = 30
+else:
+    try:
+        CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES = int(CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES)
+    except Exception:
+        CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES = 30
+
+
 ####################################
 # WEBSOCKET SUPPORT
 ####################################
@@ -19,6 +19,7 @@ from fastapi import (
 from starlette.responses import Response, StreamingResponse


+from open_webui.constants import ERROR_MESSAGES
 from open_webui.socket.main import (
    get_event_call,
    get_event_emitter,
@@ -60,8 +61,20 @@ def get_function_module_by_id(request: Request, pipe_id: str):
    function_module, _, _ = get_function_module_from_cache(request, pipe_id)

    if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
+        Valves = function_module.Valves
        valves = Functions.get_function_valves_by_id(pipe_id)
-        function_module.valves = function_module.Valves(**(valves if valves else {}))
+
+        if valves:
+            try:
+                function_module.valves = Valves(
+                    **{k: v for k, v in valves.items() if v is not None}
+                )
+            except Exception as e:
+                log.exception(f"Error loading valves for function {pipe_id}: {e}")
+                raise e
+        else:
+            function_module.valves = Valves()
+
    return function_module


@@ -70,65 +83,75 @@ async def get_function_models(request):
    pipe_models = []

    for pipe in pipes:
-        function_module = get_function_module_by_id(request, pipe.id)
+        try:
+            function_module = get_function_module_by_id(request, pipe.id)

-        # Check if function is a manifold
-        if hasattr(function_module, "pipes"):
-            sub_pipes = []
+            has_user_valves = False
+            if hasattr(function_module, "UserValves"):
+                has_user_valves = True

-            # Handle pipes being a list, sync function, or async function
-            try:
-                if callable(function_module.pipes):
-                    if asyncio.iscoroutinefunction(function_module.pipes):
-                        sub_pipes = await function_module.pipes()
-                    else:
-                        sub_pipes = function_module.pipes()
-                else:
-                    sub_pipes = function_module.pipes
-            except Exception as e:
-                log.exception(e)
+            # Check if function is a manifold
+            if hasattr(function_module, "pipes"):
                sub_pipes = []

-            log.debug(
-                f"get_function_models: function '{pipe.id}' is a manifold of {sub_pipes}"
-            )
+                # Handle pipes being a list, sync function, or async function
+                try:
+                    if callable(function_module.pipes):
+                        if asyncio.iscoroutinefunction(function_module.pipes):
+                            sub_pipes = await function_module.pipes()
+                        else:
+                            sub_pipes = function_module.pipes()
+                    else:
+                        sub_pipes = function_module.pipes
+                except Exception as e:
+                    log.exception(e)
+                    sub_pipes = []

-            for p in sub_pipes:
-                sub_pipe_id = f'{pipe.id}.{p["id"]}'
-                sub_pipe_name = p["name"]
+                log.debug(
+                    f"get_function_models: function '{pipe.id}' is a manifold of {sub_pipes}"
+                )

-                if hasattr(function_module, "name"):
-                    sub_pipe_name = f"{function_module.name}{sub_pipe_name}"
+                for p in sub_pipes:
+                    sub_pipe_id = f'{pipe.id}.{p["id"]}'
+                    sub_pipe_name = p["name"]

-                pipe_flag = {"type": pipe.type}
+                    if hasattr(function_module, "name"):
+                        sub_pipe_name = f"{function_module.name}{sub_pipe_name}"
+
+                    pipe_flag = {"type": pipe.type}
+
+                    pipe_models.append(
+                        {
+                            "id": sub_pipe_id,
+                            "name": sub_pipe_name,
+                            "object": "model",
+                            "created": pipe.created_at,
+                            "owned_by": "openai",
+                            "pipe": pipe_flag,
+                            "has_user_valves": has_user_valves,
+                        }
+                    )
+            else:
+                pipe_flag = {"type": "pipe"}
+
+                log.debug(
+                    f"get_function_models: function '{pipe.id}' is a single pipe {{ 'id': {pipe.id}, 'name': {pipe.name} }}"
+                )

                pipe_models.append(
                    {
-                        "id": sub_pipe_id,
-                        "name": sub_pipe_name,
+                        "id": pipe.id,
+                        "name": pipe.name,
                        "object": "model",
                        "created": pipe.created_at,
                        "owned_by": "openai",
                        "pipe": pipe_flag,
+                        "has_user_valves": has_user_valves,
                    }
                )
-        else:
-            pipe_flag = {"type": "pipe"}
-
-            log.debug(
-                f"get_function_models: function '{pipe.id}' is a single pipe {{ 'id': {pipe.id}, 'name': {pipe.name} }}"
-            )
-
-            pipe_models.append(
-                {
-                    "id": pipe.id,
-                    "name": pipe.name,
-                    "object": "model",
-                    "created": pipe.created_at,
-                    "owned_by": "openai",
-                    "pipe": pipe_flag,
-                }
-            )
+        except Exception as e:
+            log.exception(e)
+            continue

    return pipe_models

@@ -219,6 +242,16 @@ async def generate_function_chat_completion(
        __task__ = metadata.get("task", None)
        __task_body__ = metadata.get("task_body", None)

+    oauth_token = None
+    try:
+        if request.cookies.get("oauth_session_id", None):
+            oauth_token = await request.app.state.oauth_manager.get_oauth_token(
+                user.id,
+                request.cookies.get("oauth_session_id", None),
+            )
+    except Exception as e:
+        log.error(f"Error getting OAuth token: {e}")
+
    extra_params = {
        "__event_emitter__": __event_emitter__,
        "__event_call__": __event_call__,
@@ -230,9 +263,10 @@ async def generate_function_chat_completion(
        "__files__": files,
        "__user__": user.model_dump() if isinstance(user, UserModel) else {},
        "__metadata__": metadata,
+        "__oauth_token__": oauth_token,
        "__request__": request,
    }
-    extra_params["__tools__"] = get_tools(
+    extra_params["__tools__"] = await get_tools(
        request,
        tool_ids,
        user,
@@ -8,6 +8,7 @@ import shutil
 import sys
 import time
 import random
+import re
 from uuid import uuid4


@@ -50,6 +51,11 @@ from starlette.middleware.sessions import SessionMiddleware
 from starlette.responses import Response, StreamingResponse
 from starlette.datastructures import Headers

+from starsessions import (
+    SessionMiddleware as StarSessionsMiddleware,
+    SessionAutoloadMiddleware,
+)
+from starsessions.stores.redis import RedisStore

 from open_webui.utils import logger
 from open_webui.utils.audit import AuditLevel, AuditLoggingMiddleware
@@ -110,9 +116,6 @@ from open_webui.config import (
    OLLAMA_API_CONFIGS,
    # OpenAI
    ENABLE_OPENAI_API,
-    ONEDRIVE_CLIENT_ID,
-    ONEDRIVE_SHAREPOINT_URL,
-    ONEDRIVE_SHAREPOINT_TENANT_ID,
    OPENAI_API_BASE_URLS,
    OPENAI_API_KEYS,
    OPENAI_API_CONFIGS,
@@ -143,9 +146,7 @@ from open_webui.config import (
    # Image
    AUTOMATIC1111_API_AUTH,
    AUTOMATIC1111_BASE_URL,
-    AUTOMATIC1111_CFG_SCALE,
-    AUTOMATIC1111_SAMPLER,
-    AUTOMATIC1111_SCHEDULER,
+    AUTOMATIC1111_PARAMS,
    COMFYUI_BASE_URL,
    COMFYUI_API_KEY,
    COMFYUI_WORKFLOW,
@@ -157,9 +158,23 @@ from open_webui.config import (
    IMAGE_SIZE,
    IMAGE_STEPS,
    IMAGES_OPENAI_API_BASE_URL,
+    IMAGES_OPENAI_API_VERSION,
    IMAGES_OPENAI_API_KEY,
    IMAGES_GEMINI_API_BASE_URL,
    IMAGES_GEMINI_API_KEY,
+    IMAGES_GEMINI_ENDPOINT_METHOD,
+    IMAGE_EDIT_ENGINE,
+    IMAGE_EDIT_MODEL,
+    IMAGE_EDIT_SIZE,
+    IMAGES_EDIT_OPENAI_API_BASE_URL,
+    IMAGES_EDIT_OPENAI_API_KEY,
+    IMAGES_EDIT_OPENAI_API_VERSION,
+    IMAGES_EDIT_GEMINI_API_BASE_URL,
+    IMAGES_EDIT_GEMINI_API_KEY,
+    IMAGES_EDIT_COMFYUI_BASE_URL,
+    IMAGES_EDIT_COMFYUI_API_KEY,
+    IMAGES_EDIT_COMFYUI_WORKFLOW,
+    IMAGES_EDIT_COMFYUI_WORKFLOW_NODES,
    # Audio
    AUDIO_STT_ENGINE,
    AUDIO_STT_MODEL,
@@ -171,13 +186,17 @@ from open_webui.config import (
    AUDIO_STT_AZURE_LOCALES,
    AUDIO_STT_AZURE_BASE_URL,
    AUDIO_STT_AZURE_MAX_SPEAKERS,
-    AUDIO_TTS_API_KEY,
+    AUDIO_STT_MISTRAL_API_KEY,
+    AUDIO_STT_MISTRAL_API_BASE_URL,
+    AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS,
    AUDIO_TTS_ENGINE,
    AUDIO_TTS_MODEL,
+    AUDIO_TTS_VOICE,
    AUDIO_TTS_OPENAI_API_BASE_URL,
    AUDIO_TTS_OPENAI_API_KEY,
+    AUDIO_TTS_OPENAI_PARAMS,
+    AUDIO_TTS_API_KEY,
    AUDIO_TTS_SPLIT_ON,
-    AUDIO_TTS_VOICE,
    AUDIO_TTS_AZURE_SPEECH_REGION,
    AUDIO_TTS_AZURE_SPEECH_BASE_URL,
    AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT,
@@ -238,19 +257,30 @@ from open_webui.config import (
    DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
    DATALAB_MARKER_FORMAT_LINES,
    DATALAB_MARKER_OUTPUT_FORMAT,
+    MINERU_API_MODE,
+    MINERU_API_URL,
+    MINERU_API_KEY,
+    MINERU_PARAMS,
    DATALAB_MARKER_USE_LLM,
    EXTERNAL_DOCUMENT_LOADER_URL,
    EXTERNAL_DOCUMENT_LOADER_API_KEY,
    TIKA_SERVER_URL,
    DOCLING_SERVER_URL,
+    DOCLING_PARAMS,
+    DOCLING_DO_OCR,
+    DOCLING_FORCE_OCR,
    DOCLING_OCR_ENGINE,
    DOCLING_OCR_LANG,
+    DOCLING_PDF_BACKEND,
+    DOCLING_TABLE_MODE,
+    DOCLING_PIPELINE,
    DOCLING_DO_PICTURE_DESCRIPTION,
    DOCLING_PICTURE_DESCRIPTION_MODE,
    DOCLING_PICTURE_DESCRIPTION_LOCAL,
    DOCLING_PICTURE_DESCRIPTION_API,
    DOCUMENT_INTELLIGENCE_ENDPOINT,
    DOCUMENT_INTELLIGENCE_KEY,
+    MISTRAL_OCR_API_BASE_URL,
    MISTRAL_OCR_API_KEY,
    RAG_TEXT_SPLITTER,
    TIKTOKEN_ENCODING_NAME,
@@ -266,6 +296,7 @@ from open_webui.config import (
    WEB_SEARCH_CONCURRENT_REQUESTS,
    WEB_SEARCH_TRUST_ENV,
    WEB_SEARCH_DOMAIN_FILTER_LIST,
+    OLLAMA_CLOUD_WEB_SEARCH_API_KEY,
    JINA_API_KEY,
    SEARCHAPI_API_KEY,
    SEARCHAPI_ENGINE,
@@ -297,14 +328,17 @@ from open_webui.config import (
    GOOGLE_PSE_ENGINE_ID,
    GOOGLE_DRIVE_CLIENT_ID,
    GOOGLE_DRIVE_API_KEY,
-    ONEDRIVE_CLIENT_ID,
+    ENABLE_ONEDRIVE_INTEGRATION,
+    ONEDRIVE_CLIENT_ID_PERSONAL,
+    ONEDRIVE_CLIENT_ID_BUSINESS,
    ONEDRIVE_SHAREPOINT_URL,
    ONEDRIVE_SHAREPOINT_TENANT_ID,
+    ENABLE_ONEDRIVE_PERSONAL,
+    ENABLE_ONEDRIVE_BUSINESS,
    ENABLE_RAG_HYBRID_SEARCH,
    ENABLE_RAG_LOCAL_WEB_FETCH,
    ENABLE_WEB_LOADER_SSL_VERIFICATION,
    ENABLE_GOOGLE_DRIVE_INTEGRATION,
-    ENABLE_ONEDRIVE_INTEGRATION,
    UPLOAD_DIR,
    EXTERNAL_WEB_SEARCH_URL,
    EXTERNAL_WEB_SEARCH_API_KEY,
@@ -435,6 +469,7 @@ from open_webui.env import (
    ENABLE_OTEL,
    EXTERNAL_PWA_MANIFEST_URL,
    AIOHTTP_CLIENT_SESSION_SSL,
+    ENABLE_STAR_SESSIONS_MIDDLEWARE,
 )


@@ -442,6 +477,7 @@ from open_webui.utils.models import (
    get_all_models,
    get_all_base_models,
    check_model_access,
+    get_filtered_models,
 )
 from open_webui.utils.chat import (
    generate_chat_completion as chat_completion_handler,
@@ -460,7 +496,14 @@ from open_webui.utils.auth import (
    get_verified_user,
 )
 from open_webui.utils.plugin import install_tool_and_function_dependencies
-from open_webui.utils.oauth import OAuthManager
+from open_webui.utils.oauth import (
+    get_oauth_client_info_with_dynamic_client_registration,
+    encrypt_data,
+    decrypt_data,
+    OAuthManager,
+    OAuthClientManager,
+    OAuthClientInformationFull,
+)
 from open_webui.utils.security_headers import SecurityHeadersMiddleware
 from open_webui.utils.redis import get_redis_connection

@@ -590,7 +633,13 @@ app = FastAPI(
    lifespan=lifespan,
 )

+# For Open WebUI OIDC/OAuth2
 oauth_manager = OAuthManager(app)
+app.state.oauth_manager = oauth_manager
+
+# For Integrations
+oauth_client_manager = OAuthClientManager(app)
+app.state.oauth_client_manager = oauth_client_manager

 app.state.instance_id = None
 app.state.config = AppConfig(
@@ -810,15 +859,26 @@ app.state.config.EXTERNAL_DOCUMENT_LOADER_URL = EXTERNAL_DOCUMENT_LOADER_URL
 app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY = EXTERNAL_DOCUMENT_LOADER_API_KEY
 app.state.config.TIKA_SERVER_URL = TIKA_SERVER_URL
 app.state.config.DOCLING_SERVER_URL = DOCLING_SERVER_URL
+app.state.config.DOCLING_PARAMS = DOCLING_PARAMS
+app.state.config.DOCLING_DO_OCR = DOCLING_DO_OCR
+app.state.config.DOCLING_FORCE_OCR = DOCLING_FORCE_OCR
 app.state.config.DOCLING_OCR_ENGINE = DOCLING_OCR_ENGINE
 app.state.config.DOCLING_OCR_LANG = DOCLING_OCR_LANG
+app.state.config.DOCLING_PDF_BACKEND = DOCLING_PDF_BACKEND
+app.state.config.DOCLING_TABLE_MODE = DOCLING_TABLE_MODE
+app.state.config.DOCLING_PIPELINE = DOCLING_PIPELINE
 app.state.config.DOCLING_DO_PICTURE_DESCRIPTION = DOCLING_DO_PICTURE_DESCRIPTION
 app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE = DOCLING_PICTURE_DESCRIPTION_MODE
 app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL = DOCLING_PICTURE_DESCRIPTION_LOCAL
 app.state.config.DOCLING_PICTURE_DESCRIPTION_API = DOCLING_PICTURE_DESCRIPTION_API
 app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT = DOCUMENT_INTELLIGENCE_ENDPOINT
 app.state.config.DOCUMENT_INTELLIGENCE_KEY = DOCUMENT_INTELLIGENCE_KEY
+app.state.config.MISTRAL_OCR_API_BASE_URL = MISTRAL_OCR_API_BASE_URL
 app.state.config.MISTRAL_OCR_API_KEY = MISTRAL_OCR_API_KEY
+app.state.config.MINERU_API_MODE = MINERU_API_MODE
+app.state.config.MINERU_API_URL = MINERU_API_URL
+app.state.config.MINERU_API_KEY = MINERU_API_KEY
+app.state.config.MINERU_PARAMS = MINERU_PARAMS

 app.state.config.TEXT_SPLITTER = RAG_TEXT_SPLITTER
 app.state.config.TIKTOKEN_ENCODING_NAME = TIKTOKEN_ENCODING_NAME
@@ -870,6 +930,8 @@ app.state.config.BYPASS_WEB_SEARCH_WEB_LOADER = BYPASS_WEB_SEARCH_WEB_LOADER

 app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION = ENABLE_GOOGLE_DRIVE_INTEGRATION
 app.state.config.ENABLE_ONEDRIVE_INTEGRATION = ENABLE_ONEDRIVE_INTEGRATION
+
+app.state.config.OLLAMA_CLOUD_WEB_SEARCH_API_KEY = OLLAMA_CLOUD_WEB_SEARCH_API_KEY
 app.state.config.SEARXNG_QUERY_URL = SEARXNG_QUERY_URL
 app.state.config.YACY_QUERY_URL = YACY_QUERY_URL
 app.state.config.YACY_USERNAME = YACY_USERNAME
@@ -1018,26 +1080,40 @@ app.state.config.IMAGE_GENERATION_ENGINE = IMAGE_GENERATION_ENGINE
 app.state.config.ENABLE_IMAGE_GENERATION = ENABLE_IMAGE_GENERATION
 app.state.config.ENABLE_IMAGE_PROMPT_GENERATION = ENABLE_IMAGE_PROMPT_GENERATION

+app.state.config.IMAGE_GENERATION_MODEL = IMAGE_GENERATION_MODEL
+app.state.config.IMAGE_SIZE = IMAGE_SIZE
+app.state.config.IMAGE_STEPS = IMAGE_STEPS
+
 app.state.config.IMAGES_OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL
+app.state.config.IMAGES_OPENAI_API_VERSION = IMAGES_OPENAI_API_VERSION
 app.state.config.IMAGES_OPENAI_API_KEY = IMAGES_OPENAI_API_KEY

 app.state.config.IMAGES_GEMINI_API_BASE_URL = IMAGES_GEMINI_API_BASE_URL
 app.state.config.IMAGES_GEMINI_API_KEY = IMAGES_GEMINI_API_KEY
-
-app.state.config.IMAGE_GENERATION_MODEL = IMAGE_GENERATION_MODEL
+app.state.config.IMAGES_GEMINI_ENDPOINT_METHOD = IMAGES_GEMINI_ENDPOINT_METHOD

 app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
 app.state.config.AUTOMATIC1111_API_AUTH = AUTOMATIC1111_API_AUTH
-app.state.config.AUTOMATIC1111_CFG_SCALE = AUTOMATIC1111_CFG_SCALE
-app.state.config.AUTOMATIC1111_SAMPLER = AUTOMATIC1111_SAMPLER
-app.state.config.AUTOMATIC1111_SCHEDULER = AUTOMATIC1111_SCHEDULER
+app.state.config.AUTOMATIC1111_PARAMS = AUTOMATIC1111_PARAMS
+
 app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL
 app.state.config.COMFYUI_API_KEY = COMFYUI_API_KEY
 app.state.config.COMFYUI_WORKFLOW = COMFYUI_WORKFLOW
 app.state.config.COMFYUI_WORKFLOW_NODES = COMFYUI_WORKFLOW_NODES

-app.state.config.IMAGE_SIZE = IMAGE_SIZE
-app.state.config.IMAGE_STEPS = IMAGE_STEPS
+
+app.state.config.IMAGE_EDIT_ENGINE = IMAGE_EDIT_ENGINE
+app.state.config.IMAGE_EDIT_MODEL = IMAGE_EDIT_MODEL
+app.state.config.IMAGE_EDIT_SIZE = IMAGE_EDIT_SIZE
+app.state.config.IMAGES_EDIT_OPENAI_API_BASE_URL = IMAGES_EDIT_OPENAI_API_BASE_URL
+app.state.config.IMAGES_EDIT_OPENAI_API_KEY = IMAGES_EDIT_OPENAI_API_KEY
+app.state.config.IMAGES_EDIT_OPENAI_API_VERSION = IMAGES_EDIT_OPENAI_API_VERSION
+app.state.config.IMAGES_EDIT_GEMINI_API_BASE_URL = IMAGES_EDIT_GEMINI_API_BASE_URL
+app.state.config.IMAGES_EDIT_GEMINI_API_KEY = IMAGES_EDIT_GEMINI_API_KEY
+app.state.config.IMAGES_EDIT_COMFYUI_BASE_URL = IMAGES_EDIT_COMFYUI_BASE_URL
+app.state.config.IMAGES_EDIT_COMFYUI_API_KEY = IMAGES_EDIT_COMFYUI_API_KEY
+app.state.config.IMAGES_EDIT_COMFYUI_WORKFLOW = IMAGES_EDIT_COMFYUI_WORKFLOW
+app.state.config.IMAGES_EDIT_COMFYUI_WORKFLOW_NODES = IMAGES_EDIT_COMFYUI_WORKFLOW_NODES


 ########################################
@@ -1063,11 +1139,21 @@ app.state.config.AUDIO_STT_AZURE_LOCALES = AUDIO_STT_AZURE_LOCALES
 app.state.config.AUDIO_STT_AZURE_BASE_URL = AUDIO_STT_AZURE_BASE_URL
 app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS = AUDIO_STT_AZURE_MAX_SPEAKERS

-app.state.config.TTS_OPENAI_API_BASE_URL = AUDIO_TTS_OPENAI_API_BASE_URL
-app.state.config.TTS_OPENAI_API_KEY = AUDIO_TTS_OPENAI_API_KEY
+app.state.config.AUDIO_STT_MISTRAL_API_KEY = AUDIO_STT_MISTRAL_API_KEY
+app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL = AUDIO_STT_MISTRAL_API_BASE_URL
+app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS = (
+    AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS
+)
+
 app.state.config.TTS_ENGINE = AUDIO_TTS_ENGINE
+
 app.state.config.TTS_MODEL = AUDIO_TTS_MODEL
 app.state.config.TTS_VOICE = AUDIO_TTS_VOICE
+
+app.state.config.TTS_OPENAI_API_BASE_URL = AUDIO_TTS_OPENAI_API_BASE_URL
+app.state.config.TTS_OPENAI_API_KEY = AUDIO_TTS_OPENAI_API_KEY
+app.state.config.TTS_OPENAI_PARAMS = AUDIO_TTS_OPENAI_PARAMS
+
 app.state.config.TTS_API_KEY = AUDIO_TTS_API_KEY
 app.state.config.TTS_SPLIT_ON = AUDIO_TTS_SPLIT_ON

@@ -1138,12 +1224,32 @@ class RedirectMiddleware(BaseHTTPMiddleware):
            path = request.url.path
            query_params = dict(parse_qs(urlparse(str(request.url)).query))

+            redirect_params = {}
+
            # Check for the specific watch path and the presence of 'v' parameter
            if path.endswith("/watch") and "v" in query_params:
                # Extract the first 'v' parameter
-                video_id = query_params["v"][0]
-                encoded_video_id = urlencode({"youtube": video_id})
-                redirect_url = f"/?{encoded_video_id}"
+                youtube_video_id = query_params["v"][0]
+                redirect_params["youtube"] = youtube_video_id
+
+            if "shared" in query_params and len(query_params["shared"]) > 0:
+                # PWA share_target support
+
+                text = query_params["shared"][0]
+                if text:
+                    urls = re.match(r"https://\S+", text)
+                    if urls:
+                        from open_webui.retrieval.loaders.youtube import _parse_video_id
+
+                        if youtube_video_id := _parse_video_id(urls[0]):
+                            redirect_params["youtube"] = youtube_video_id
+                        else:
+                            redirect_params["load-url"] = urls[0]
+                    else:
+                        redirect_params["q"] = text
+
+            if redirect_params:
+                redirect_url = f"/?{urlencode(redirect_params)}"
                return RedirectResponse(url=redirect_url)

        # Proceed with the normal flow of other requests
@@ -1278,33 +1384,6 @@ if audit_level != AuditLevel.NONE:
 async def get_models(
    request: Request, refresh: bool = False, user=Depends(get_verified_user)
 ):
-    def get_filtered_models(models, user):
-        filtered_models = []
-        for model in models:
-            if model.get("arena"):
-                if has_access(
-                    user.id,
-                    type="read",
-                    access_control=model.get("info", {})
-                    .get("meta", {})
-                    .get("access_control", {}),
-                ):
-                    filtered_models.append(model)
-                continue
-
-            model_info = Models.get_model_by_id(model["id"])
-            if model_info:
-                if (
-                    (user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL)
-                    or user.id == model_info.user_id
-                    or has_access(
-                        user.id, type="read", access_control=model_info.access_control
-                    )
-                ):
-                    filtered_models.append(model)
-
-        return filtered_models
-
    all_models = await get_all_models(request, refresh=refresh, user=user)

    models = []
@@ -1340,12 +1419,7 @@ async def get_models(
            )
        )

-    # Filter out models that the user does not have access to
-    if (
-        user.role == "user"
-        or (user.role == "admin" and not BYPASS_ADMIN_ACCESS_CONTROL)
-    ) and not BYPASS_MODEL_ACCESS_CONTROL:
-        models = get_filtered_models(models, user)
+    models = get_filtered_models(models, user)

    log.debug(
        f"/api/models returned filtered models accessible to the user: {json.dumps([model.get('id') for model in models])}"
@@ -1437,11 +1511,15 @@ async def chat_completion(
        stream_delta_chunk_size = form_data.get("params", {}).get(
            "stream_delta_chunk_size"
        )
+        reasoning_tags = form_data.get("params", {}).get("reasoning_tags")

        # Model Params
        if model_info_params.get("stream_delta_chunk_size"):
            stream_delta_chunk_size = model_info_params.get("stream_delta_chunk_size")

+        if model_info_params.get("reasoning_tags") is not None:
+            reasoning_tags = model_info_params.get("reasoning_tags")
+
        metadata = {
            "user_id": user.id,
            "chat_id": form_data.pop("chat_id", None),
@@ -1457,6 +1535,7 @@ async def chat_completion(
            "direct": model_item.get("direct", False),
            "params": {
                "stream_delta_chunk_size": stream_delta_chunk_size,
+                "reasoning_tags": reasoning_tags,
                "function_calling": (
                    "native"
                    if (
@@ -1469,7 +1548,7 @@ async def chat_completion(
        }

        if metadata.get("chat_id") and (user and user.role != "admin"):
-            if metadata["chat_id"] != "local":
+            if not metadata["chat_id"].startswith("local:"):
                chat = Chats.get_chat_by_id_and_user_id(metadata["chat_id"], user.id)
                if chat is None:
                    raise HTTPException(
@@ -1496,13 +1575,14 @@ async def chat_completion(
            response = await chat_completion_handler(request, form_data, user)
            if metadata.get("chat_id") and metadata.get("message_id"):
                try:
-                    Chats.upsert_message_to_chat_by_id_and_message_id(
-                        metadata["chat_id"],
-                        metadata["message_id"],
-                        {
-                            "model": model_id,
-                        },
-                    )
+                    if not metadata["chat_id"].startswith("local:"):
+                        Chats.upsert_message_to_chat_by_id_and_message_id(
+                            metadata["chat_id"],
+                            metadata["message_id"],
+                            {
+                                "model": model_id,
+                            },
+                        )
                except:
                    pass

@@ -1513,30 +1593,50 @@ async def chat_completion(
            log.info("Chat processing was cancelled")
            try:
                event_emitter = get_event_emitter(metadata)
-                await event_emitter(
-                    {"type": "task-cancelled"},
+                await asyncio.shield(
+                    event_emitter(
+                        {"type": "chat:tasks:cancel"},
+                    )
                )
            except Exception as e:
                pass
+            finally:
+                raise  # re-raise to ensure proper task cancellation handling
        except Exception as e:
            log.debug(f"Error processing chat payload: {e}")
            if metadata.get("chat_id") and metadata.get("message_id"):
                # Update the chat message with the error
                try:
-                    Chats.upsert_message_to_chat_by_id_and_message_id(
-                        metadata["chat_id"],
-                        metadata["message_id"],
+                    if not metadata["chat_id"].startswith("local:"):
+                        Chats.upsert_message_to_chat_by_id_and_message_id(
+                            metadata["chat_id"],
+                            metadata["message_id"],
+                            {
+                                "error": {"content": str(e)},
+                            },
+                        )
+
+                    event_emitter = get_event_emitter(metadata)
+                    await event_emitter(
                        {
-                            "error": {"content": str(e)},
-                        },
+                            "type": "chat:message:error",
+                            "data": {"error": {"content": str(e)}},
+                        }
                    )
+                    await event_emitter(
+                        {"type": "chat:tasks:cancel"},
+                    )
+
                except:
                    pass
-
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=str(e),
-            )
+        finally:
+            try:
+                if mcp_clients := metadata.get("mcp_clients"):
+                    for client in reversed(mcp_clients.values()):
+                        await client.disconnect()
+            except Exception as e:
+                log.debug(f"Error cleaning up: {e}")
+                pass

    if (
        metadata.get("session_id")
@@ -1637,8 +1737,18 @@ async def list_tasks_by_chat_id_endpoint(
@app.get("/api/config")
 async def get_app_config(request: Request):
    user = None
-    if "token" in request.cookies:
+    token = None
+
+    auth_header = request.headers.get("Authorization")
+    if auth_header:
+        cred = get_http_authorization_cred(auth_header)
+        if cred:
+            token = cred.credentials
+
+    if not token and "token" in request.cookies:
        token = request.cookies.get("token")
+
+    if token:
        try:
            data = decode_token(token)
        except Exception as e:
@@ -1695,6 +1805,14 @@ async def get_app_config(request: Request):
                    "enable_admin_chat_access": ENABLE_ADMIN_CHAT_ACCESS,
                    "enable_google_drive_integration": app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION,
                    "enable_onedrive_integration": app.state.config.ENABLE_ONEDRIVE_INTEGRATION,
+                    **(
+                        {
+                            "enable_onedrive_personal": ENABLE_ONEDRIVE_PERSONAL,
+                            "enable_onedrive_business": ENABLE_ONEDRIVE_BUSINESS,
+                        }
+                        if app.state.config.ENABLE_ONEDRIVE_INTEGRATION
+                        else {}
+                    ),
                }
                if user is not None
                else {}
@@ -1732,7 +1850,8 @@ async def get_app_config(request: Request):
                    "api_key": GOOGLE_DRIVE_API_KEY.value,
                },
                "onedrive": {
-                    "client_id": ONEDRIVE_CLIENT_ID.value,
+                    "client_id_personal": ONEDRIVE_CLIENT_ID_PERSONAL,
+                    "client_id_business": ONEDRIVE_CLIENT_ID_BUSINESS,
                    "sharepoint_url": ONEDRIVE_SHAREPOINT_URL.value,
                    "sharepoint_tenant_id": ONEDRIVE_SHAREPOINT_TENANT_ID.value,
                },
@@ -1852,17 +1971,177 @@ async def get_current_usage(user=Depends(get_verified_user)):
 # OAuth Login & Callback
 ############################

-# SessionMiddleware is used by authlib for oauth
-if len(OAUTH_PROVIDERS) > 0:
+
+# Initialize OAuth client manager with any MCP tool servers using OAuth 2.1
+if len(app.state.config.TOOL_SERVER_CONNECTIONS) > 0:
+    for tool_server_connection in app.state.config.TOOL_SERVER_CONNECTIONS:
+        if tool_server_connection.get("type", "openapi") == "mcp":
+            server_id = tool_server_connection.get("info", {}).get("id")
+            auth_type = tool_server_connection.get("auth_type", "none")
+
+            if server_id and auth_type == "oauth_2.1":
+                oauth_client_info = tool_server_connection.get("info", {}).get(
+                    "oauth_client_info", ""
+                )
+
+                try:
+                    oauth_client_info = decrypt_data(oauth_client_info)
+                    app.state.oauth_client_manager.add_client(
+                        f"mcp:{server_id}",
+                        OAuthClientInformationFull(**oauth_client_info),
+                    )
+                except Exception as e:
+                    log.error(
+                        f"Error adding OAuth client for MCP tool server {server_id}: {e}"
+                    )
+                    pass
+
+try:
+    if ENABLE_STAR_SESSIONS_MIDDLEWARE:
+        redis_session_store = RedisStore(
+            url=REDIS_URL,
+            prefix=(f"{REDIS_KEY_PREFIX}:session:" if REDIS_KEY_PREFIX else "session:"),
+        )
+
+        app.add_middleware(SessionAutoloadMiddleware)
+        app.add_middleware(
+            StarSessionsMiddleware,
+            store=redis_session_store,
+            cookie_name="owui-session",
+            cookie_same_site=WEBUI_SESSION_COOKIE_SAME_SITE,
+            cookie_https_only=WEBUI_SESSION_COOKIE_SECURE,
+        )
+        log.info("Using Redis for session")
+    else:
+        raise ValueError("No Redis URL provided")
+except Exception as e:
    app.add_middleware(
        SessionMiddleware,
        secret_key=WEBUI_SECRET_KEY,
-        session_cookie="oui-session",
+        session_cookie="owui-session",
        same_site=WEBUI_SESSION_COOKIE_SAME_SITE,
        https_only=WEBUI_SESSION_COOKIE_SECURE,
    )


+async def register_client(self, request, client_id: str) -> bool:
+    server_type, server_id = client_id.split(":", 1)
+
+    connection = None
+    connection_idx = None
+
+    for idx, conn in enumerate(request.app.state.config.TOOL_SERVER_CONNECTIONS or []):
+        if conn.get("type", "openapi") == server_type:
+            info = conn.get("info", {})
+            if info.get("id") == server_id:
+                connection = conn
+                connection_idx = idx
+                break
+
+    if connection is None or connection_idx is None:
+        log.warning(
+            f"Unable to locate MCP tool server configuration for client {client_id} during re-registration"
+        )
+        return False
+
+    server_url = connection.get("url")
+    oauth_server_key = (connection.get("config") or {}).get("oauth_server_key")
+
+    try:
+        oauth_client_info = (
+            await get_oauth_client_info_with_dynamic_client_registration(
+                request,
+                client_id,
+                server_url,
+                oauth_server_key,
+            )
+        )
+    except Exception as e:
+        log.error(f"Dynamic client re-registration failed for {client_id}: {e}")
+        return False
+
+    try:
+        request.app.state.config.TOOL_SERVER_CONNECTIONS[connection_idx] = {
+            **connection,
+            "info": {
+                **connection.get("info", {}),
+                "oauth_client_info": encrypt_data(
+                    oauth_client_info.model_dump(mode="json")
+                ),
+            },
+        }
+    except Exception as e:
+        log.error(
+            f"Failed to persist updated OAuth client info for tool server {client_id}: {e}"
+        )
+        return False
+
+    oauth_client_manager.remove_client(client_id)
+    oauth_client_manager.add_client(client_id, oauth_client_info)
+    log.info(f"Re-registered OAuth client {client_id} for tool server")
+    return True
+
+
+@app.get("/oauth/clients/{client_id}/authorize")
+async def oauth_client_authorize(
+    client_id: str,
+    request: Request,
+    response: Response,
+    user=Depends(get_verified_user),
+):
+    # ensure_valid_client_registration
+    client = oauth_client_manager.get_client(client_id)
+    client_info = oauth_client_manager.get_client_info(client_id)
+    if client is None or client_info is None:
+        raise HTTPException(status.HTTP_404_NOT_FOUND)
+
+    if not await oauth_client_manager._preflight_authorization_url(client, client_info):
+        log.info(
+            "Detected invalid OAuth client %s; attempting re-registration",
+            client_id,
+        )
+
+        registered = await register_client(request, client_id)
+        if not registered:
+            raise HTTPException(
+                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail="Failed to re-register OAuth client",
+            )
+
+        client = oauth_client_manager.get_client(client_id)
+        client_info = oauth_client_manager.get_client_info(client_id)
+        if client is None or client_info is None:
+            raise HTTPException(
+                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail="OAuth client unavailable after re-registration",
+            )
+
+        if not await oauth_client_manager._preflight_authorization_url(
+            client, client_info
+        ):
+            raise HTTPException(
+                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail="OAuth client registration is still invalid after re-registration",
+            )
+
+    return await oauth_client_manager.handle_authorize(request, client_id=client_id)
+
+
+@app.get("/oauth/clients/{client_id}/callback")
+async def oauth_client_callback(
+    client_id: str,
+    request: Request,
+    response: Response,
+    user=Depends(get_verified_user),
+):
+    return await oauth_client_manager.handle_callback(
+        request,
+        client_id=client_id,
+        user_id=user.id if user else None,
+        response=response,
+    )
+
+
@app.get("/oauth/{provider}/login")
 async def oauth_login(provider: str, request: Request):
    return await oauth_manager.handle_login(request, provider)
@@ -1874,8 +2153,9 @@ async def oauth_login(provider: str, request: Request):
 #    - This is considered insecure in general, as OAuth providers do not always verify email addresses
 # 3. If there is no user, and ENABLE_OAUTH_SIGNUP is true, create a user
 #    - Email addresses are considered unique, so we fail registration if the email address is already taken
-@app.get("/oauth/{provider}/callback")
-async def oauth_callback(provider: str, request: Request, response: Response):
+@app.get("/oauth/{provider}/login/callback")
+@app.get("/oauth/{provider}/callback")  # Legacy endpoint
+async def oauth_login_callback(provider: str, request: Request, response: Response):
    return await oauth_manager.handle_callback(request, provider, response)


@@ -1905,6 +2185,11 @@ async def get_manifest_json():
                    "purpose": "maskable",
                },
            ],
+            "share_target": {
+                "action": "/",
+                "method": "GET",
+                "params": {"text": "shared"},
+            },
        }


@@ -0,0 +1,52 @@
+"""Add oauth_session table
+
+Revision ID: 38d63c18f30f
+Revises: 3af16a1c9fb6
+Create Date: 2025-09-08 14:19:59.583921
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = "38d63c18f30f"
+down_revision: Union[str, None] = "3af16a1c9fb6"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # Create oauth_session table
+    op.create_table(
+        "oauth_session",
+        sa.Column("id", sa.Text(), nullable=False),
+        sa.Column("user_id", sa.Text(), nullable=False),
+        sa.Column("provider", sa.Text(), nullable=False),
+        sa.Column("token", sa.Text(), nullable=False),
+        sa.Column("expires_at", sa.BigInteger(), nullable=False),
+        sa.Column("created_at", sa.BigInteger(), nullable=False),
+        sa.Column("updated_at", sa.BigInteger(), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+        sa.ForeignKeyConstraint(["user_id"], ["user.id"], ondelete="CASCADE"),
+    )
+
+    # Create indexes for better performance
+    op.create_index("idx_oauth_session_user_id", "oauth_session", ["user_id"])
+    op.create_index("idx_oauth_session_expires_at", "oauth_session", ["expires_at"])
+    op.create_index(
+        "idx_oauth_session_user_provider", "oauth_session", ["user_id", "provider"]
+    )
+
+
+def downgrade() -> None:
+    # Drop indexes first
+    op.drop_index("idx_oauth_session_user_provider", table_name="oauth_session")
+    op.drop_index("idx_oauth_session_expires_at", table_name="oauth_session")
+    op.drop_index("idx_oauth_session_user_id", table_name="oauth_session")
+
+    # Drop the table
+    op.drop_table("oauth_session")
@@ -0,0 +1,34 @@
+"""Add reply_to_id column to message
+
+Revision ID: a5c220713937
+Revises: 38d63c18f30f
+Create Date: 2025-09-27 02:24:18.058455
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+# revision identifiers, used by Alembic.
+revision: str = "a5c220713937"
+down_revision: Union[str, None] = "38d63c18f30f"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # Add 'reply_to_id' column to the 'message' table for replying to messages
+    op.add_column(
+        "message",
+        sa.Column("reply_to_id", sa.Text(), nullable=True),
+    )
+    pass
+
+
+def downgrade() -> None:
+    # Remove 'reply_to_id' column from the 'message' table
+    op.drop_column("message", "reply_to_id")
+
+    pass
@@ -57,6 +57,10 @@ class ChannelModel(BaseModel):
 ####################


+class ChannelResponse(ChannelModel):
+    write_access: bool = False
+
+
 class ChannelForm(BaseModel):
    name: str
    description: Optional[str] = None
@@ -236,7 +236,7 @@ class ChatTable:

        return chat.chat.get("title", "New Chat")

-    def get_messages_by_chat_id(self, id: str) -> Optional[dict]:
+    def get_messages_map_by_chat_id(self, id: str) -> Optional[dict]:
        chat = self.get_chat_by_id(id)
        if chat is None:
            return None
@@ -366,6 +366,15 @@ class ChatTable:
        except Exception:
            return False

+    def unarchive_all_chats_by_user_id(self, user_id: str) -> bool:
+        try:
+            with get_db() as db:
+                db.query(Chat).filter_by(user_id=user_id).update({"archived": False})
+                db.commit()
+                return True
+        except Exception:
+            return False
+
    def update_chat_share_id_by_id(
        self, id: str, share_id: Optional[str]
    ) -> Optional[ChatModel]:
@@ -431,7 +440,10 @@ class ChatTable:
                order_by = filter.get("order_by")
                direction = filter.get("direction")

-                if order_by and direction and getattr(Chat, order_by):
+                if order_by and direction:
+                    if not getattr(Chat, order_by, None):
+                        raise ValueError("Invalid order_by field")
+
                    if direction.lower() == "asc":
                        query = query.order_by(getattr(Chat, order_by).asc())
                    elif direction.lower() == "desc":
@@ -492,12 +504,19 @@ class ChatTable:
        self,
        user_id: str,
        include_archived: bool = False,
+        include_folders: bool = False,
+        include_pinned: bool = False,
        skip: Optional[int] = None,
        limit: Optional[int] = None,
    ) -> list[ChatTitleIdResponse]:
        with get_db() as db:
-            query = db.query(Chat).filter_by(user_id=user_id).filter_by(folder_id=None)
-            query = query.filter(or_(Chat.pinned == False, Chat.pinned == None))
+            query = db.query(Chat).filter_by(user_id=user_id)
+
+            if not include_folders:
+                query = query.filter_by(folder_id=None)
+
+            if not include_pinned:
+                query = query.filter(or_(Chat.pinned == False, Chat.pinned == None))

            if not include_archived:
                query = query.filter_by(archived=False)
@@ -746,15 +765,20 @@ class ChatTable:
                    )

            elif dialect_name == "postgresql":
-                # PostgreSQL relies on proper JSON query for search
+                # PostgreSQL doesn't allow null bytes in text. We filter those out by checking
+                # the JSON representation for \u0000 before attempting text extraction
                postgres_content_sql = (
                    "EXISTS ("
                    "    SELECT 1 "
                    "    FROM json_array_elements(Chat.chat->'messages') AS message "
-                    "    WHERE LOWER(message->>'content') LIKE '%' || :content_key || '%'"
+                    "    WHERE message->'content' IS NOT NULL "
+                    "    AND (message->'content')::text NOT LIKE '%\\u0000%' "
+                    "    AND LOWER(message->>'content') LIKE '%' || :content_key || '%'"
                    ")"
                )
                postgres_content_clause = text(postgres_content_sql)
+                # Also filter out chats with null bytes in title
+                query = query.filter(text("Chat.title::text NOT LIKE '%\\x00%'"))
                query = query.filter(
                    or_(
                        Chat.title.ilike(bindparam("title_key")),
@@ -805,7 +829,7 @@ class ChatTable:
            return [ChatModel.model_validate(chat) for chat in all_chats]

    def get_chats_by_folder_id_and_user_id(
-        self, folder_id: str, user_id: str
+        self, folder_id: str, user_id: str, skip: int = 0, limit: int = 60
    ) -> list[ChatModel]:
        with get_db() as db:
            query = db.query(Chat).filter_by(folder_id=folder_id, user_id=user_id)
@@ -814,6 +838,11 @@ class ChatTable:

            query = query.order_by(Chat.updated_at.desc())

+            if skip:
+                query = query.offset(skip)
+            if limit:
+                query = query.limit(limit)
+
            all_chats = query.all()
            return [ChatModel.model_validate(chat) for chat in all_chats]

@@ -943,6 +972,16 @@ class ChatTable:

            return count

+    def count_chats_by_folder_id_and_user_id(self, folder_id: str, user_id: str) -> int:
+        with get_db() as db:
+            query = db.query(Chat).filter_by(user_id=user_id)
+
+            query = query.filter_by(folder_id=folder_id)
+            count = query.count()
+
+            log.info(f"Count of chats for folder '{folder_id}': {count}")
+            return count
+
    def delete_tag_by_id_and_user_id_and_tag_name(
        self, id: str, user_id: str, tag_name: str
    ) -> bool:
@@ -82,6 +82,7 @@ class FileModelResponse(BaseModel):

 class FileMetadataResponse(BaseModel):
    id: str
+    hash: Optional[str] = None
    meta: dict
    created_at: int  # timestamp in epoch
    updated_at: int  # timestamp in epoch
@@ -130,12 +131,24 @@ class FilesTable:
            except Exception:
                return None

+    def get_file_by_id_and_user_id(self, id: str, user_id: str) -> Optional[FileModel]:
+        with get_db() as db:
+            try:
+                file = db.query(File).filter_by(id=id, user_id=user_id).first()
+                if file:
+                    return FileModel.model_validate(file)
+                else:
+                    return None
+            except Exception:
+                return None
+
    def get_file_metadata_by_id(self, id: str) -> Optional[FileMetadataResponse]:
        with get_db() as db:
            try:
                file = db.get(File, id)
                return FileMetadataResponse(
                    id=file.id,
+                    hash=file.hash,
                    meta=file.meta,
                    created_at=file.created_at,
                    updated_at=file.updated_at,
@@ -147,6 +160,15 @@ class FilesTable:
        with get_db() as db:
            return [FileModel.model_validate(file) for file in db.query(File).all()]

+    def check_access_by_user_id(self, id, user_id, permission="write") -> bool:
+        file = self.get_file_by_id(id)
+        if not file:
+            return False
+        if file.user_id == user_id:
+            return True
+        # Implement additional access control logic here as needed
+        return False
+
    def get_files_by_ids(self, ids: list[str]) -> list[FileModel]:
        with get_db() as db:
            return [
@@ -162,11 +184,14 @@ class FilesTable:
            return [
                FileMetadataResponse(
                    id=file.id,
+                    hash=file.hash,
                    meta=file.meta,
                    created_at=file.created_at,
                    updated_at=file.updated_at,
                )
-                for file in db.query(File)
+                for file in db.query(
+                    File.id, File.hash, File.meta, File.created_at, File.updated_at
+                )
                .filter(File.id.in_(ids))
                .order_by(File.updated_at.desc())
                .all()
@@ -50,6 +50,20 @@ class FolderModel(BaseModel):
    model_config = ConfigDict(from_attributes=True)


+class FolderMetadataResponse(BaseModel):
+    icon: Optional[str] = None
+
+
+class FolderNameIdResponse(BaseModel):
+    id: str
+    name: str
+    meta: Optional[FolderMetadataResponse] = None
+    parent_id: Optional[str] = None
+    is_expanded: bool = False
+    created_at: int
+    updated_at: int
+
+
 ####################
 # Forms
 ####################
@@ -58,6 +72,14 @@ class FolderModel(BaseModel):
 class FolderForm(BaseModel):
    name: str
    data: Optional[dict] = None
+    meta: Optional[dict] = None
+    model_config = ConfigDict(extra="allow")
+
+
+class FolderUpdateForm(BaseModel):
+    name: Optional[str] = None
+    data: Optional[dict] = None
+    meta: Optional[dict] = None
    model_config = ConfigDict(extra="allow")


@@ -191,7 +213,7 @@ class FolderTable:
            return

    def update_folder_by_id_and_user_id(
-        self, id: str, user_id: str, form_data: FolderForm
+        self, id: str, user_id: str, form_data: FolderUpdateForm
    ) -> Optional[FolderModel]:
        try:
            with get_db() as db:
@@ -222,8 +244,13 @@ class FolderTable:
                        **form_data["data"],
                    }

-                folder.updated_at = int(time.time())
+                if "meta" in form_data:
+                    folder.meta = {
+                        **(folder.meta or {}),
+                        **form_data["meta"],
+                    }

+                folder.updated_at = int(time.time())
                db.commit()

                return FolderModel.model_validate(folder)
@@ -3,7 +3,7 @@ import time
 from typing import Optional

 from open_webui.internal.db import Base, JSONField, get_db
-from open_webui.models.users import Users
+from open_webui.models.users import Users, UserModel
 from open_webui.env import SRC_LOG_LEVELS
 from pydantic import BaseModel, ConfigDict
 from sqlalchemy import BigInteger, Boolean, Column, String, Text, Index
@@ -37,6 +37,7 @@ class Function(Base):
 class FunctionMeta(BaseModel):
    description: Optional[str] = None
    manifest: Optional[dict] = {}
+    model_config = ConfigDict(extra="allow")


 class FunctionModel(BaseModel):
@@ -54,11 +55,31 @@ class FunctionModel(BaseModel):
    model_config = ConfigDict(from_attributes=True)


+class FunctionWithValvesModel(BaseModel):
+    id: str
+    user_id: str
+    name: str
+    type: str
+    content: str
+    meta: FunctionMeta
+    valves: Optional[dict] = None
+    is_active: bool = False
+    is_global: bool = False
+    updated_at: int  # timestamp in epoch
+    created_at: int  # timestamp in epoch
+
+    model_config = ConfigDict(from_attributes=True)
+
+
 ####################
 # Forms
 ####################


+class FunctionUserResponse(FunctionModel):
+    user: Optional[UserModel] = None
+
+
 class FunctionResponse(BaseModel):
    id: str
    user_id: str
@@ -111,8 +132,8 @@ class FunctionsTable:
            return None

    def sync_functions(
-        self, user_id: str, functions: list[FunctionModel]
-    ) -> list[FunctionModel]:
+        self, user_id: str, functions: list[FunctionWithValvesModel]
+    ) -> list[FunctionWithValvesModel]:
        # Synchronize functions for a user by updating existing ones, inserting new ones, and removing those that are no longer present.
        try:
            with get_db() as db:
@@ -166,19 +187,48 @@ class FunctionsTable:
        except Exception:
            return None

-    def get_functions(self, active_only=False) -> list[FunctionModel]:
+    def get_functions(
+        self, active_only=False, include_valves=False
+    ) -> list[FunctionModel | FunctionWithValvesModel]:
        with get_db() as db:
            if active_only:
+                functions = db.query(Function).filter_by(is_active=True).all()
+
+            else:
+                functions = db.query(Function).all()
+
+            if include_valves:
                return [
-                    FunctionModel.model_validate(function)
-                    for function in db.query(Function).filter_by(is_active=True).all()
+                    FunctionWithValvesModel.model_validate(function)
+                    for function in functions
                ]
            else:
                return [
-                    FunctionModel.model_validate(function)
-                    for function in db.query(Function).all()
+                    FunctionModel.model_validate(function) for function in functions
                ]

+    def get_function_list(self) -> list[FunctionUserResponse]:
+        with get_db() as db:
+            functions = db.query(Function).order_by(Function.updated_at.desc()).all()
+            user_ids = list(set(func.user_id for func in functions))
+
+            users = Users.get_users_by_user_ids(user_ids) if user_ids else []
+            users_dict = {user.id: user for user in users}
+
+            return [
+                FunctionUserResponse.model_validate(
+                    {
+                        **FunctionModel.model_validate(func).model_dump(),
+                        "user": (
+                            users_dict.get(func.user_id).model_dump()
+                            if func.user_id in users_dict
+                            else None
+                        ),
+                    }
+                )
+                for func in functions
+            ]
+
    def get_functions_by_type(
        self, type: str, active_only=False
    ) -> list[FunctionModel]:
@@ -237,6 +287,29 @@ class FunctionsTable:
            except Exception:
                return None

+    def update_function_metadata_by_id(
+        self, id: str, metadata: dict
+    ) -> Optional[FunctionModel]:
+        with get_db() as db:
+            try:
+                function = db.get(Function, id)
+
+                if function:
+                    if function.meta:
+                        function.meta = {**function.meta, **metadata}
+                    else:
+                        function.meta = metadata
+
+                    function.updated_at = int(time.time())
+                    db.commit()
+                    db.refresh(function)
+                    return self.get_function_by_id(id)
+                else:
+                    return None
+            except Exception as e:
+                log.exception(f"Error updating function metadata by id {id}: {e}")
+                return None
+
    def get_user_valves_by_id_and_user_id(
        self, id: str, user_id: str
    ) -> Optional[dict]:
@@ -288,13 +288,17 @@ class GroupTable:
                if not group:
                    return None

-                if not group.user_ids:
-                    group.user_ids = []
+                group_user_ids = group.user_ids
+                if not group_user_ids or not isinstance(group_user_ids, list):
+                    group_user_ids = []
+
+                group_user_ids = list(set(group_user_ids))  # Deduplicate

                for user_id in user_ids:
-                    if user_id not in group.user_ids:
-                        group.user_ids.append(user_id)
+                    if user_id not in group_user_ids:
+                        group_user_ids.append(user_id)

+                group.user_ids = group_user_ids
                group.updated_at = int(time.time())
                db.commit()
                db.refresh(group)
@@ -312,14 +316,20 @@ class GroupTable:
                if not group:
                    return None

-                if not group.user_ids:
+                group_user_ids = group.user_ids
+
+                if not group_user_ids or not isinstance(group_user_ids, list):
                    return GroupModel.model_validate(group)

-                for user_id in user_ids:
-                    if user_id in group.user_ids:
-                        group.user_ids.remove(user_id)
+                group_user_ids = list(set(group_user_ids))  # Deduplicate

+                for user_id in user_ids:
+                    if user_id in group_user_ids:
+                        group_user_ids.remove(user_id)
+
+                group.user_ids = group_user_ids
                group.updated_at = int(time.time())
+
                db.commit()
                db.refresh(group)
                return GroupModel.model_validate(group)
@@ -8,6 +8,7 @@ from open_webui.internal.db import Base, get_db
 from open_webui.env import SRC_LOG_LEVELS

 from open_webui.models.files import FileMetadataResponse
+from open_webui.models.groups import Groups
 from open_webui.models.users import Users, UserResponse


@@ -128,11 +129,18 @@ class KnowledgeTable:

    def get_knowledge_bases(self) -> list[KnowledgeUserModel]:
        with get_db() as db:
-            knowledge_bases = []
-            for knowledge in (
+            all_knowledge = (
                db.query(Knowledge).order_by(Knowledge.updated_at.desc()).all()
-            ):
-                user = Users.get_user_by_id(knowledge.user_id)
+            )
+
+            user_ids = list(set(knowledge.user_id for knowledge in all_knowledge))
+
+            users = Users.get_users_by_user_ids(user_ids) if user_ids else []
+            users_dict = {user.id: user for user in users}
+
+            knowledge_bases = []
+            for knowledge in all_knowledge:
+                user = users_dict.get(knowledge.user_id)
                knowledge_bases.append(
                    KnowledgeUserModel.model_validate(
                        {
@@ -143,15 +151,27 @@ class KnowledgeTable:
                )
            return knowledge_bases

+    def check_access_by_user_id(self, id, user_id, permission="write") -> bool:
+        knowledge = self.get_knowledge_by_id(id)
+        if not knowledge:
+            return False
+        if knowledge.user_id == user_id:
+            return True
+        user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user_id)}
+        return has_access(user_id, permission, knowledge.access_control, user_group_ids)
+
    def get_knowledge_bases_by_user_id(
        self, user_id: str, permission: str = "write"
    ) -> list[KnowledgeUserModel]:
        knowledge_bases = self.get_knowledge_bases()
+        user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user_id)}
        return [
            knowledge_base
            for knowledge_base in knowledge_bases
            if knowledge_base.user_id == user_id
-            or has_access(user_id, permission, knowledge_base.access_control)
+            or has_access(
+                user_id, permission, knowledge_base.access_control, user_group_ids
+            )
        ]

    def get_knowledge_by_id(self, id: str) -> Optional[KnowledgeModel]:
@@ -5,6 +5,7 @@ from typing import Optional

 from open_webui.internal.db import Base, get_db
 from open_webui.models.tags import TagModel, Tag, Tags
+from open_webui.models.users import Users, UserNameResponse


 from pydantic import BaseModel, ConfigDict
@@ -43,6 +44,7 @@ class Message(Base):
    user_id = Column(Text)
    channel_id = Column(Text, nullable=True)

+    reply_to_id = Column(Text, nullable=True)
    parent_id = Column(Text, nullable=True)

    content = Column(Text)
@@ -60,6 +62,7 @@ class MessageModel(BaseModel):
    user_id: str
    channel_id: Optional[str] = None

+    reply_to_id: Optional[str] = None
    parent_id: Optional[str] = None

    content: str
@@ -77,6 +80,7 @@ class MessageModel(BaseModel):

 class MessageForm(BaseModel):
    content: str
+    reply_to_id: Optional[str] = None
    parent_id: Optional[str] = None
    data: Optional[dict] = None
    meta: Optional[dict] = None
@@ -88,7 +92,15 @@ class Reactions(BaseModel):
    count: int


-class MessageResponse(MessageModel):
+class MessageUserResponse(MessageModel):
+    user: Optional[UserNameResponse] = None
+
+
+class MessageReplyToResponse(MessageUserResponse):
+    reply_to_message: Optional[MessageUserResponse] = None
+
+
+class MessageResponse(MessageReplyToResponse):
    latest_reply_at: Optional[int]
    reply_count: int
    reactions: list[Reactions]
@@ -107,6 +119,7 @@ class MessageTable:
                    "id": id,
                    "user_id": user_id,
                    "channel_id": channel_id,
+                    "reply_to_id": form_data.reply_to_id,
                    "parent_id": form_data.parent_id,
                    "content": form_data.content,
                    "data": form_data.data,
@@ -128,19 +141,32 @@ class MessageTable:
            if not message:
                return None

-            reactions = self.get_reactions_by_message_id(id)
-            replies = self.get_replies_by_message_id(id)
+            reply_to_message = (
+                self.get_message_by_id(message.reply_to_id)
+                if message.reply_to_id
+                else None
+            )

-            return MessageResponse(
-                **{
+            reactions = self.get_reactions_by_message_id(id)
+            thread_replies = self.get_thread_replies_by_message_id(id)
+
+            user = Users.get_user_by_id(message.user_id)
+            return MessageResponse.model_validate(
+                {
                    **MessageModel.model_validate(message).model_dump(),
-                    "latest_reply_at": replies[0].created_at if replies else None,
-                    "reply_count": len(replies),
+                    "user": user.model_dump() if user else None,
+                    "reply_to_message": (
+                        reply_to_message.model_dump() if reply_to_message else None
+                    ),
+                    "latest_reply_at": (
+                        thread_replies[0].created_at if thread_replies else None
+                    ),
+                    "reply_count": len(thread_replies),
                    "reactions": reactions,
                }
            )

-    def get_replies_by_message_id(self, id: str) -> list[MessageModel]:
+    def get_thread_replies_by_message_id(self, id: str) -> list[MessageReplyToResponse]:
        with get_db() as db:
            all_messages = (
                db.query(Message)
@@ -148,7 +174,27 @@ class MessageTable:
                .order_by(Message.created_at.desc())
                .all()
            )
-            return [MessageModel.model_validate(message) for message in all_messages]
+
+            messages = []
+            for message in all_messages:
+                reply_to_message = (
+                    self.get_message_by_id(message.reply_to_id)
+                    if message.reply_to_id
+                    else None
+                )
+                messages.append(
+                    MessageReplyToResponse.model_validate(
+                        {
+                            **MessageModel.model_validate(message).model_dump(),
+                            "reply_to_message": (
+                                reply_to_message.model_dump()
+                                if reply_to_message
+                                else None
+                            ),
+                        }
+                    )
+                )
+            return messages

    def get_reply_user_ids_by_message_id(self, id: str) -> list[str]:
        with get_db() as db:
@@ -159,7 +205,7 @@ class MessageTable:

    def get_messages_by_channel_id(
        self, channel_id: str, skip: int = 0, limit: int = 50
-    ) -> list[MessageModel]:
+    ) -> list[MessageReplyToResponse]:
        with get_db() as db:
            all_messages = (
                db.query(Message)
@@ -169,11 +215,31 @@ class MessageTable:
                .limit(limit)
                .all()
            )
-            return [MessageModel.model_validate(message) for message in all_messages]
+
+            messages = []
+            for message in all_messages:
+                reply_to_message = (
+                    self.get_message_by_id(message.reply_to_id)
+                    if message.reply_to_id
+                    else None
+                )
+                messages.append(
+                    MessageReplyToResponse.model_validate(
+                        {
+                            **MessageModel.model_validate(message).model_dump(),
+                            "reply_to_message": (
+                                reply_to_message.model_dump()
+                                if reply_to_message
+                                else None
+                            ),
+                        }
+                    )
+                )
+            return messages

    def get_messages_by_parent_id(
        self, channel_id: str, parent_id: str, skip: int = 0, limit: int = 50
-    ) -> list[MessageModel]:
+    ) -> list[MessageReplyToResponse]:
        with get_db() as db:
            message = db.get(Message, parent_id)

@@ -193,7 +259,26 @@ class MessageTable:
            if len(all_messages) < limit:
                all_messages.append(message)

-            return [MessageModel.model_validate(message) for message in all_messages]
+            messages = []
+            for message in all_messages:
+                reply_to_message = (
+                    self.get_message_by_id(message.reply_to_id)
+                    if message.reply_to_id
+                    else None
+                )
+                messages.append(
+                    MessageReplyToResponse.model_validate(
+                        {
+                            **MessageModel.model_validate(message).model_dump(),
+                            "reply_to_message": (
+                                reply_to_message.model_dump()
+                                if reply_to_message
+                                else None
+                            ),
+                        }
+                    )
+                )
+            return messages

    def update_message_by_id(
        self, id: str, form_data: MessageForm
@@ -201,8 +286,14 @@ class MessageTable:
        with get_db() as db:
            message = db.get(Message, id)
            message.content = form_data.content
-            message.data = form_data.data
-            message.meta = form_data.meta
+            message.data = {
+                **(message.data if message.data else {}),
+                **(form_data.data if form_data.data else {}),
+            }
+            message.meta = {
+                **(message.meta if message.meta else {}),
+                **(form_data.meta if form_data.meta else {}),
+            }
            message.updated_at = int(time.time_ns())
            db.commit()
            db.refresh(message)
@@ -5,6 +5,7 @@ from typing import Optional
 from open_webui.internal.db import Base, JSONField, get_db
 from open_webui.env import SRC_LOG_LEVELS

+from open_webui.models.groups import Groups
 from open_webui.models.users import Users, UserResponse


@@ -175,9 +176,16 @@ class ModelsTable:

    def get_models(self) -> list[ModelUserResponse]:
        with get_db() as db:
+            all_models = db.query(Model).filter(Model.base_model_id != None).all()
+
+            user_ids = list(set(model.user_id for model in all_models))
+
+            users = Users.get_users_by_user_ids(user_ids) if user_ids else []
+            users_dict = {user.id: user for user in users}
+
            models = []
-            for model in db.query(Model).filter(Model.base_model_id != None).all():
-                user = Users.get_user_by_id(model.user_id)
+            for model in all_models:
+                user = users_dict.get(model.user_id)
                models.append(
                    ModelUserResponse.model_validate(
                        {
@@ -199,11 +207,12 @@ class ModelsTable:
        self, user_id: str, permission: str = "write"
    ) -> list[ModelUserResponse]:
        models = self.get_models()
+        user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user_id)}
        return [
            model
            for model in models
            if model.user_id == user_id
-            or has_access(user_id, permission, model.access_control)
+            or has_access(user_id, permission, model.access_control, user_group_ids)
        ]

    def get_model_by_id(self, id: str) -> Optional[ModelModel]:
@@ -2,8 +2,10 @@ import json
 import time
 import uuid
 from typing import Optional
+from functools import lru_cache

 from open_webui.internal.db import Base, get_db
+from open_webui.models.groups import Groups
 from open_webui.utils.access_control import has_access
 from open_webui.models.users import Users, UserResponse

@@ -96,21 +98,85 @@ class NoteTable:
            db.commit()
            return note

-    def get_notes(self) -> list[NoteModel]:
+    def get_notes(
+        self, skip: Optional[int] = None, limit: Optional[int] = None
+    ) -> list[NoteModel]:
        with get_db() as db:
-            notes = db.query(Note).order_by(Note.updated_at.desc()).all()
+            query = db.query(Note).order_by(Note.updated_at.desc())
+            if skip is not None:
+                query = query.offset(skip)
+            if limit is not None:
+                query = query.limit(limit)
+            notes = query.all()
            return [NoteModel.model_validate(note) for note in notes]

    def get_notes_by_user_id(
-        self, user_id: str, permission: str = "write"
+        self,
+        user_id: str,
+        skip: Optional[int] = None,
+        limit: Optional[int] = None,
    ) -> list[NoteModel]:
-        notes = self.get_notes()
-        return [
-            note
-            for note in notes
-            if note.user_id == user_id
-            or has_access(user_id, permission, note.access_control)
-        ]
+        with get_db() as db:
+            query = db.query(Note).filter(Note.user_id == user_id)
+            query = query.order_by(Note.updated_at.desc())
+
+            if skip is not None:
+                query = query.offset(skip)
+            if limit is not None:
+                query = query.limit(limit)
+
+            notes = query.all()
+            return [NoteModel.model_validate(note) for note in notes]
+
+    def get_notes_by_permission(
+        self,
+        user_id: str,
+        permission: str = "write",
+        skip: Optional[int] = None,
+        limit: Optional[int] = None,
+    ) -> list[NoteModel]:
+        with get_db() as db:
+            user_groups = Groups.get_groups_by_member_id(user_id)
+            user_group_ids = {group.id for group in user_groups}
+
+            # Order newest-first. We stream to keep memory usage low.
+            query = (
+                db.query(Note)
+                .order_by(Note.updated_at.desc())
+                .execution_options(stream_results=True)
+                .yield_per(256)
+            )
+
+            results: list[NoteModel] = []
+            n_skipped = 0
+
+            for note in query:
+                # Fast-pass #1: owner
+                if note.user_id == user_id:
+                    permitted = True
+                # Fast-pass #2: public/open
+                elif note.access_control is None:
+                    # Technically this should mean public access for both read and write, but we'll only do read for now
+                    # We might want to change this behavior later
+                    permitted = permission == "read"
+                else:
+                    permitted = has_access(
+                        user_id, permission, note.access_control, user_group_ids
+                    )
+
+                if not permitted:
+                    continue
+
+                # Apply skip AFTER permission filtering so it counts only accessible notes
+                if skip and n_skipped < skip:
+                    n_skipped += 1
+                    continue
+
+                results.append(NoteModel.model_validate(note))
+                if limit is not None and len(results) >= limit:
+                    break
+
+            return results

    def get_note_by_id(self, id: str) -> Optional[NoteModel]:
        with get_db() as db:
@@ -0,0 +1,277 @@
+import time
+import logging
+import uuid
+from typing import Optional, List
+import base64
+import hashlib
+import json
+
+from cryptography.fernet import Fernet
+
+from open_webui.internal.db import Base, get_db
+from open_webui.env import SRC_LOG_LEVELS, OAUTH_SESSION_TOKEN_ENCRYPTION_KEY
+
+from pydantic import BaseModel, ConfigDict
+from sqlalchemy import BigInteger, Column, String, Text, Index
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
+####################
+# DB MODEL
+####################
+
+
+class OAuthSession(Base):
+    __tablename__ = "oauth_session"
+
+    id = Column(Text, primary_key=True)
+    user_id = Column(Text, nullable=False)
+    provider = Column(Text, nullable=False)
+    token = Column(
+        Text, nullable=False
+    )  # JSON with access_token, id_token, refresh_token
+    expires_at = Column(BigInteger, nullable=False)
+    created_at = Column(BigInteger, nullable=False)
+    updated_at = Column(BigInteger, nullable=False)
+
+    # Add indexes for better performance
+    __table_args__ = (
+        Index("idx_oauth_session_user_id", "user_id"),
+        Index("idx_oauth_session_expires_at", "expires_at"),
+        Index("idx_oauth_session_user_provider", "user_id", "provider"),
+    )
+
+
+class OAuthSessionModel(BaseModel):
+    id: str
+    user_id: str
+    provider: str
+    token: dict
+    expires_at: int  # timestamp in epoch
+    created_at: int  # timestamp in epoch
+    updated_at: int  # timestamp in epoch
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+####################
+# Forms
+####################
+
+
+class OAuthSessionResponse(BaseModel):
+    id: str
+    user_id: str
+    provider: str
+    expires_at: int
+
+
+class OAuthSessionTable:
+    def __init__(self):
+        self.encryption_key = OAUTH_SESSION_TOKEN_ENCRYPTION_KEY
+        if not self.encryption_key:
+            raise Exception("OAUTH_SESSION_TOKEN_ENCRYPTION_KEY is not set")
+
+        # check if encryption key is in the right format for Fernet (32 url-safe base64-encoded bytes)
+        if len(self.encryption_key) != 44:
+            key_bytes = hashlib.sha256(self.encryption_key.encode()).digest()
+            self.encryption_key = base64.urlsafe_b64encode(key_bytes)
+        else:
+            self.encryption_key = self.encryption_key.encode()
+
+        try:
+            self.fernet = Fernet(self.encryption_key)
+        except Exception as e:
+            log.error(f"Error initializing Fernet with provided key: {e}")
+            raise
+
+    def _encrypt_token(self, token) -> str:
+        """Encrypt OAuth tokens for storage"""
+        try:
+            token_json = json.dumps(token)
+            encrypted = self.fernet.encrypt(token_json.encode()).decode()
+            return encrypted
+        except Exception as e:
+            log.error(f"Error encrypting tokens: {e}")
+            raise
+
+    def _decrypt_token(self, token: str):
+        """Decrypt OAuth tokens from storage"""
+        try:
+            decrypted = self.fernet.decrypt(token.encode()).decode()
+            return json.loads(decrypted)
+        except Exception as e:
+            log.error(f"Error decrypting tokens: {e}")
+            raise
+
+    def create_session(
+        self,
+        user_id: str,
+        provider: str,
+        token: dict,
+    ) -> Optional[OAuthSessionModel]:
+        """Create a new OAuth session"""
+        try:
+            with get_db() as db:
+                current_time = int(time.time())
+                id = str(uuid.uuid4())
+
+                result = OAuthSession(
+                    **{
+                        "id": id,
+                        "user_id": user_id,
+                        "provider": provider,
+                        "token": self._encrypt_token(token),
+                        "expires_at": token.get("expires_at"),
+                        "created_at": current_time,
+                        "updated_at": current_time,
+                    }
+                )
+
+                db.add(result)
+                db.commit()
+                db.refresh(result)
+
+                if result:
+                    result.token = token  # Return decrypted token
+                    return OAuthSessionModel.model_validate(result)
+                else:
+                    return None
+        except Exception as e:
+            log.error(f"Error creating OAuth session: {e}")
+            return None
+
+    def get_session_by_id(self, session_id: str) -> Optional[OAuthSessionModel]:
+        """Get OAuth session by ID"""
+        try:
+            with get_db() as db:
+                session = db.query(OAuthSession).filter_by(id=session_id).first()
+                if session:
+                    session.token = self._decrypt_token(session.token)
+                    return OAuthSessionModel.model_validate(session)
+
+                return None
+        except Exception as e:
+            log.error(f"Error getting OAuth session by ID: {e}")
+            return None
+
+    def get_session_by_id_and_user_id(
+        self, session_id: str, user_id: str
+    ) -> Optional[OAuthSessionModel]:
+        """Get OAuth session by ID and user ID"""
+        try:
+            with get_db() as db:
+                session = (
+                    db.query(OAuthSession)
+                    .filter_by(id=session_id, user_id=user_id)
+                    .first()
+                )
+                if session:
+                    session.token = self._decrypt_token(session.token)
+                    return OAuthSessionModel.model_validate(session)
+
+                return None
+        except Exception as e:
+            log.error(f"Error getting OAuth session by ID: {e}")
+            return None
+
+    def get_session_by_provider_and_user_id(
+        self, provider: str, user_id: str
+    ) -> Optional[OAuthSessionModel]:
+        """Get OAuth session by provider and user ID"""
+        try:
+            with get_db() as db:
+                session = (
+                    db.query(OAuthSession)
+                    .filter_by(provider=provider, user_id=user_id)
+                    .first()
+                )
+                if session:
+                    session.token = self._decrypt_token(session.token)
+                    return OAuthSessionModel.model_validate(session)
+
+                return None
+        except Exception as e:
+            log.error(f"Error getting OAuth session by provider and user ID: {e}")
+            return None
+
+    def get_sessions_by_user_id(self, user_id: str) -> List[OAuthSessionModel]:
+        """Get all OAuth sessions for a user"""
+        try:
+            with get_db() as db:
+                sessions = db.query(OAuthSession).filter_by(user_id=user_id).all()
+
+                results = []
+                for session in sessions:
+                    session.token = self._decrypt_token(session.token)
+                    results.append(OAuthSessionModel.model_validate(session))
+
+                return results
+
+        except Exception as e:
+            log.error(f"Error getting OAuth sessions by user ID: {e}")
+            return []
+
+    def update_session_by_id(
+        self, session_id: str, token: dict
+    ) -> Optional[OAuthSessionModel]:
+        """Update OAuth session tokens"""
+        try:
+            with get_db() as db:
+                current_time = int(time.time())
+
+                db.query(OAuthSession).filter_by(id=session_id).update(
+                    {
+                        "token": self._encrypt_token(token),
+                        "expires_at": token.get("expires_at"),
+                        "updated_at": current_time,
+                    }
+                )
+                db.commit()
+                session = db.query(OAuthSession).filter_by(id=session_id).first()
+
+                if session:
+                    session.token = self._decrypt_token(session.token)
+                    return OAuthSessionModel.model_validate(session)
+
+                return None
+        except Exception as e:
+            log.error(f"Error updating OAuth session tokens: {e}")
+            return None
+
+    def delete_session_by_id(self, session_id: str) -> bool:
+        """Delete an OAuth session"""
+        try:
+            with get_db() as db:
+                result = db.query(OAuthSession).filter_by(id=session_id).delete()
+                db.commit()
+                return result > 0
+        except Exception as e:
+            log.error(f"Error deleting OAuth session: {e}")
+            return False
+
+    def delete_sessions_by_user_id(self, user_id: str) -> bool:
+        """Delete all OAuth sessions for a user"""
+        try:
+            with get_db() as db:
+                result = db.query(OAuthSession).filter_by(user_id=user_id).delete()
+                db.commit()
+                return True
+        except Exception as e:
+            log.error(f"Error deleting OAuth sessions by user ID: {e}")
+            return False
+
+    def delete_sessions_by_provider(self, provider: str) -> bool:
+        """Delete all OAuth sessions for a provider"""
+        try:
+            with get_db() as db:
+                db.query(OAuthSession).filter_by(provider=provider).delete()
+                db.commit()
+                return True
+        except Exception as e:
+            log.error(f"Error deleting OAuth sessions by provider {provider}: {e}")
+            return False
+
+
+OAuthSessions = OAuthSessionTable()
@@ -2,6 +2,7 @@ import time
 from typing import Optional

 from open_webui.internal.db import Base, get_db
+from open_webui.models.groups import Groups
 from open_webui.models.users import Users, UserResponse

 from pydantic import BaseModel, ConfigDict
@@ -103,10 +104,16 @@ class PromptsTable:

    def get_prompts(self) -> list[PromptUserResponse]:
        with get_db() as db:
-            prompts = []
+            all_prompts = db.query(Prompt).order_by(Prompt.timestamp.desc()).all()

-            for prompt in db.query(Prompt).order_by(Prompt.timestamp.desc()).all():
-                user = Users.get_user_by_id(prompt.user_id)
+            user_ids = list(set(prompt.user_id for prompt in all_prompts))
+
+            users = Users.get_users_by_user_ids(user_ids) if user_ids else []
+            users_dict = {user.id: user for user in users}
+
+            prompts = []
+            for prompt in all_prompts:
+                user = users_dict.get(prompt.user_id)
                prompts.append(
                    PromptUserResponse.model_validate(
                        {
@@ -122,12 +129,13 @@ class PromptsTable:
        self, user_id: str, permission: str = "write"
    ) -> list[PromptUserResponse]:
        prompts = self.get_prompts()
+        user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user_id)}

        return [
            prompt
            for prompt in prompts
            if prompt.user_id == user_id
-            or has_access(user_id, permission, prompt.access_control)
+            or has_access(user_id, permission, prompt.access_control, user_group_ids)
        ]

    def update_prompt_by_command(
@@ -4,6 +4,8 @@ from typing import Optional

 from open_webui.internal.db import Base, JSONField, get_db
 from open_webui.models.users import Users, UserResponse
+from open_webui.models.groups import Groups
+
 from open_webui.env import SRC_LOG_LEVELS
 from pydantic import BaseModel, ConfigDict
 from sqlalchemy import BigInteger, Column, String, Text, JSON
@@ -93,6 +95,8 @@ class ToolResponse(BaseModel):
 class ToolUserResponse(ToolResponse):
    user: Optional[UserResponse] = None

+    model_config = ConfigDict(extra="allow")
+

 class ToolForm(BaseModel):
    id: str
@@ -144,9 +148,16 @@ class ToolsTable:

    def get_tools(self) -> list[ToolUserModel]:
        with get_db() as db:
+            all_tools = db.query(Tool).order_by(Tool.updated_at.desc()).all()
+
+            user_ids = list(set(tool.user_id for tool in all_tools))
+
+            users = Users.get_users_by_user_ids(user_ids) if user_ids else []
+            users_dict = {user.id: user for user in users}
+
            tools = []
-            for tool in db.query(Tool).order_by(Tool.updated_at.desc()).all():
-                user = Users.get_user_by_id(tool.user_id)
+            for tool in all_tools:
+                user = users_dict.get(tool.user_id)
                tools.append(
                    ToolUserModel.model_validate(
                        {
@@ -161,12 +172,13 @@ class ToolsTable:
        self, user_id: str, permission: str = "write"
    ) -> list[ToolUserModel]:
        tools = self.get_tools()
+        user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user_id)}

        return [
            tool
            for tool in tools
            if tool.user_id == user_id
-            or has_access(user_id, permission, tool.access_control)
+            or has_access(user_id, permission, tool.access_control, user_group_ids)
        ]

    def get_tool_valves_by_id(self, id: str) -> Optional[dict]:
@@ -107,11 +107,21 @@ class UserInfoResponse(BaseModel):
    role: str


+class UserIdNameResponse(BaseModel):
+    id: str
+    name: str
+
+
 class UserInfoListResponse(BaseModel):
    users: list[UserInfoResponse]
    total: int


+class UserIdNameListResponse(BaseModel):
+    users: list[UserIdNameResponse]
+    total: int
+
+
 class UserResponse(BaseModel):
    id: str
    name: str
@@ -210,7 +220,7 @@ class UsersTable:
        filter: Optional[dict] = None,
        skip: Optional[int] = None,
        limit: Optional[int] = None,
-    ) -> UserListResponse:
+    ) -> dict:
        with get_db() as db:
            query = db.query(User)

@@ -64,7 +64,7 @@ class DatalabMarkerLoader:
        return mime_map.get(ext, "application/octet-stream")

    def check_marker_request_status(self, request_id: str) -> dict:
-        url = f"{self.api_base_url}/marker/{request_id}"
+        url = f"{self.api_base_url}/{request_id}"
        headers = {"X-Api-Key": self.api_key}
        try:
            response = requests.get(url, headers=headers)
@@ -111,7 +111,7 @@ class DatalabMarkerLoader:
            with open(self.file_path, "rb") as f:
                files = {"file": (filename, f, mime_type)}
                response = requests.post(
-                    f"{self.api_base_url}/marker",
+                    f"{self.api_base_url}",
                    data=form_data,
                    files=files,
                    headers=headers,
@@ -1,9 +1,11 @@
 import requests
 import logging, os
 from typing import Iterator, List, Union
+from urllib.parse import quote

 from langchain_core.document_loaders import BaseLoader
 from langchain_core.documents import Document
+from open_webui.utils.headers import include_user_info_headers
 from open_webui.env import SRC_LOG_LEVELS

 log = logging.getLogger(__name__)
@@ -17,6 +19,7 @@ class ExternalDocumentLoader(BaseLoader):
        url: str,
        api_key: str,
        mime_type=None,
+        user=None,
        **kwargs,
    ) -> None:
        self.url = url
@@ -25,6 +28,8 @@ class ExternalDocumentLoader(BaseLoader):
        self.file_path = file_path
        self.mime_type = mime_type

+        self.user = user
+
    def load(self) -> List[Document]:
        with open(self.file_path, "rb") as f:
            data = f.read()
@@ -37,10 +42,13 @@ class ExternalDocumentLoader(BaseLoader):
            headers["Authorization"] = f"Bearer {self.api_key}"

        try:
-            headers["X-Filename"] = os.path.basename(self.file_path)
+            headers["X-Filename"] = quote(os.path.basename(self.file_path))
        except:
            pass

+        if self.user is not None:
+            headers = include_user_info_headers(headers, self.user)
+
        url = self.url
        if url.endswith("/"):
            url = url[:-1]
@@ -4,6 +4,7 @@ import ftfy
 import sys
 import json

+from azure.identity import DefaultAzureCredential
 from langchain_community.document_loaders import (
    AzureAIDocumentIntelligenceLoader,
    BSHTMLLoader,
@@ -26,6 +27,7 @@ from open_webui.retrieval.loaders.external_document import ExternalDocumentLoade

 from open_webui.retrieval.loaders.mistral import MistralLoader
 from open_webui.retrieval.loaders.datalab_marker import DatalabMarkerLoader
+from open_webui.retrieval.loaders.mineru import MinerULoader


 from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL
@@ -147,7 +149,7 @@ class DoclingLoader:
                )
            }

-            params = {"image_export_mode": "placeholder", "table_mode": "accurate"}
+            params = {"image_export_mode": "placeholder"}

            if self.params:
                if self.params.get("do_picture_description"):
@@ -173,7 +175,15 @@ class DoclingLoader:
                            self.params.get("picture_description_api", {})
                        )

-                if self.params.get("ocr_engine") and self.params.get("ocr_lang"):
+                params["do_ocr"] = self.params.get("do_ocr")
+
+                params["force_ocr"] = self.params.get("force_ocr")
+
+                if (
+                    self.params.get("do_ocr")
+                    and self.params.get("ocr_engine")
+                    and self.params.get("ocr_lang")
+                ):
                    params["ocr_engine"] = self.params.get("ocr_engine")
                    params["ocr_lang"] = [
                        lang.strip()
@@ -181,6 +191,15 @@ class DoclingLoader:
                        if lang.strip()
                    ]

+                if self.params.get("pdf_backend"):
+                    params["pdf_backend"] = self.params.get("pdf_backend")
+
+                if self.params.get("table_mode"):
+                    params["table_mode"] = self.params.get("table_mode")
+
+                if self.params.get("pipeline"):
+                    params["pipeline"] = self.params.get("pipeline")
+
            endpoint = f"{self.url}/v1/convert/file"
            r = requests.post(endpoint, files=files, data=params)

@@ -209,6 +228,7 @@ class DoclingLoader:
 class Loader:
    def __init__(self, engine: str = "", **kwargs):
        self.engine = engine
+        self.user = kwargs.get("user", None)
        self.kwargs = kwargs

    def load(
@@ -245,6 +265,7 @@ class Loader:
                url=self.kwargs.get("EXTERNAL_DOCUMENT_LOADER_URL"),
                api_key=self.kwargs.get("EXTERNAL_DOCUMENT_LOADER_API_KEY"),
                mime_type=file_content_type,
+                user=self.user,
            )
        elif self.engine == "tika" and self.kwargs.get("TIKA_SERVER_URL"):
            if self._is_text_file(file_ext, file_content_type):
@@ -253,7 +274,6 @@ class Loader:
                loader = TikaLoader(
                    url=self.kwargs.get("TIKA_SERVER_URL"),
                    file_path=file_path,
-                    mime_type=file_content_type,
                    extract_images=self.kwargs.get("PDF_EXTRACT_IMAGES"),
                )
        elif (
@@ -283,7 +303,7 @@ class Loader:
        ):
            api_base_url = self.kwargs.get("DATALAB_MARKER_API_BASE_URL", "")
            if not api_base_url or api_base_url.strip() == "":
-                api_base_url = "https://www.datalab.to/api/v1"
+                api_base_url = "https://www.datalab.to/api/v1/marker"  # https://github.com/open-webui/open-webui/pull/16867#issuecomment-3218424349

            loader = DatalabMarkerLoader(
                file_path=file_path,
@@ -327,23 +347,37 @@ class Loader:
        elif (
            self.engine == "document_intelligence"
            and self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT") != ""
-            and self.kwargs.get("DOCUMENT_INTELLIGENCE_KEY") != ""
            and (
-                file_ext in ["pdf", "xls", "xlsx", "docx", "ppt", "pptx"]
+                file_ext in ["pdf", "docx", "ppt", "pptx"]
                or file_content_type
                in [
-                    "application/vnd.ms-excel",
-                    "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
                    "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
                    "application/vnd.ms-powerpoint",
                    "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                ]
            )
        ):
-            loader = AzureAIDocumentIntelligenceLoader(
+            if self.kwargs.get("DOCUMENT_INTELLIGENCE_KEY") != "":
+                loader = AzureAIDocumentIntelligenceLoader(
+                    file_path=file_path,
+                    api_endpoint=self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT"),
+                    api_key=self.kwargs.get("DOCUMENT_INTELLIGENCE_KEY"),
+                )
+            else:
+                loader = AzureAIDocumentIntelligenceLoader(
+                    file_path=file_path,
+                    api_endpoint=self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT"),
+                    azure_credential=DefaultAzureCredential(),
+                )
+        elif self.engine == "mineru" and file_ext in [
+            "pdf"
+        ]:  # MinerU currently only supports PDF
+            loader = MinerULoader(
                file_path=file_path,
-                api_endpoint=self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT"),
-                api_key=self.kwargs.get("DOCUMENT_INTELLIGENCE_KEY"),
+                api_mode=self.kwargs.get("MINERU_API_MODE", "local"),
+                api_url=self.kwargs.get("MINERU_API_URL", "http://localhost:8000"),
+                api_key=self.kwargs.get("MINERU_API_KEY", ""),
+                params=self.kwargs.get("MINERU_PARAMS", {}),
            )
        elif (
            self.engine == "mistral_ocr"
@@ -352,16 +386,9 @@ class Loader:
            in ["pdf"]  # Mistral OCR currently only supports PDF and images
        ):
            loader = MistralLoader(
-                api_key=self.kwargs.get("MISTRAL_OCR_API_KEY"), file_path=file_path
-            )
-        elif (
-            self.engine == "external"
-            and self.kwargs.get("MISTRAL_OCR_API_KEY") != ""
-            and file_ext
-            in ["pdf"]  # Mistral OCR currently only supports PDF and images
-        ):
-            loader = MistralLoader(
-                api_key=self.kwargs.get("MISTRAL_OCR_API_KEY"), file_path=file_path
+                base_url=self.kwargs.get("MISTRAL_OCR_API_BASE_URL"),
+                api_key=self.kwargs.get("MISTRAL_OCR_API_KEY"),
+                file_path=file_path,
            )
        else:
            if file_ext == "pdf":
@@ -0,0 +1,541 @@
+import os
+import time
+import requests
+import logging
+import tempfile
+import zipfile
+from typing import List, Optional
+from langchain_core.documents import Document
+from fastapi import HTTPException, status
+
+log = logging.getLogger(__name__)
+
+
+class MinerULoader:
+    """
+    MinerU document parser loader supporting both Cloud API and Local API modes.
+
+    Cloud API: Uses MinerU managed service with async task-based processing
+    Local API: Uses self-hosted MinerU API with synchronous processing
+    """
+
+    def __init__(
+        self,
+        file_path: str,
+        api_mode: str = "local",
+        api_url: str = "http://localhost:8000",
+        api_key: str = "",
+        params: dict = None,
+    ):
+        self.file_path = file_path
+        self.api_mode = api_mode.lower()
+        self.api_url = api_url.rstrip("/")
+        self.api_key = api_key
+
+        # Parse params dict with defaults
+        params = params or {}
+        self.enable_ocr = params.get("enable_ocr", False)
+        self.enable_formula = params.get("enable_formula", True)
+        self.enable_table = params.get("enable_table", True)
+        self.language = params.get("language", "en")
+        self.model_version = params.get("model_version", "pipeline")
+        self.page_ranges = params.get("page_ranges", "")
+
+        # Validate API mode
+        if self.api_mode not in ["local", "cloud"]:
+            raise ValueError(
+                f"Invalid API mode: {self.api_mode}. Must be 'local' or 'cloud'"
+            )
+
+        # Validate Cloud API requirements
+        if self.api_mode == "cloud" and not self.api_key:
+            raise ValueError("API key is required for Cloud API mode")
+
+    def load(self) -> List[Document]:
+        """
+        Main entry point for loading and parsing the document.
+        Routes to Cloud or Local API based on api_mode.
+        """
+        try:
+            if self.api_mode == "cloud":
+                return self._load_cloud_api()
+            else:
+                return self._load_local_api()
+        except Exception as e:
+            log.error(f"Error loading document with MinerU: {e}")
+            raise
+
+    def _load_local_api(self) -> List[Document]:
+        """
+        Load document using Local API (synchronous).
+        Posts file to /file_parse endpoint and gets immediate response.
+        """
+        log.info(f"Using MinerU Local API at {self.api_url}")
+
+        filename = os.path.basename(self.file_path)
+
+        # Build form data for Local API
+        form_data = {
+            "return_md": "true",
+            "formula_enable": str(self.enable_formula).lower(),
+            "table_enable": str(self.enable_table).lower(),
+        }
+
+        # Parse method based on OCR setting
+        if self.enable_ocr:
+            form_data["parse_method"] = "ocr"
+        else:
+            form_data["parse_method"] = "auto"
+
+        # Language configuration (Local API uses lang_list array)
+        if self.language:
+            form_data["lang_list"] = self.language
+
+        # Backend/model version (Local API uses "backend" parameter)
+        if self.model_version == "vlm":
+            form_data["backend"] = "vlm-vllm-engine"
+        else:
+            form_data["backend"] = "pipeline"
+
+        # Page ranges (Local API uses start_page_id and end_page_id)
+        if self.page_ranges:
+            # For simplicity, if page_ranges is specified, log a warning
+            # Full page range parsing would require parsing the string
+            log.warning(
+                f"Page ranges '{self.page_ranges}' specified but Local API uses different format. "
+                "Consider using start_page_id/end_page_id parameters if needed."
+            )
+
+        try:
+            with open(self.file_path, "rb") as f:
+                files = {"files": (filename, f, "application/octet-stream")}
+
+                log.info(f"Sending file to MinerU Local API: {filename}")
+                log.debug(f"Local API parameters: {form_data}")
+
+                response = requests.post(
+                    f"{self.api_url}/file_parse",
+                    data=form_data,
+                    files=files,
+                    timeout=300,  # 5 minute timeout for large documents
+                )
+                response.raise_for_status()
+
+        except FileNotFoundError:
+            raise HTTPException(
+                status.HTTP_404_NOT_FOUND, detail=f"File not found: {self.file_path}"
+            )
+        except requests.Timeout:
+            raise HTTPException(
+                status.HTTP_504_GATEWAY_TIMEOUT,
+                detail="MinerU Local API request timed out",
+            )
+        except requests.HTTPError as e:
+            error_detail = f"MinerU Local API request failed: {e}"
+            if e.response is not None:
+                try:
+                    error_data = e.response.json()
+                    error_detail += f" - {error_data}"
+                except:
+                    error_detail += f" - {e.response.text}"
+            raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=error_detail)
+        except Exception as e:
+            raise HTTPException(
+                status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail=f"Error calling MinerU Local API: {str(e)}",
+            )
+
+        # Parse response
+        try:
+            result = response.json()
+        except ValueError as e:
+            raise HTTPException(
+                status.HTTP_502_BAD_GATEWAY,
+                detail=f"Invalid JSON response from MinerU Local API: {e}",
+            )
+
+        # Extract markdown content from response
+        if "results" not in result:
+            raise HTTPException(
+                status.HTTP_502_BAD_GATEWAY,
+                detail="MinerU Local API response missing 'results' field",
+            )
+
+        results = result["results"]
+        if not results:
+            raise HTTPException(
+                status.HTTP_400_BAD_REQUEST,
+                detail="MinerU returned empty results",
+            )
+
+        # Get the first (and typically only) result
+        file_result = list(results.values())[0]
+        markdown_content = file_result.get("md_content", "")
+
+        if not markdown_content:
+            raise HTTPException(
+                status.HTTP_400_BAD_REQUEST,
+                detail="MinerU returned empty markdown content",
+            )
+
+        log.info(f"Successfully parsed document with MinerU Local API: {filename}")
+
+        # Create metadata
+        metadata = {
+            "source": filename,
+            "api_mode": "local",
+            "backend": result.get("backend", "unknown"),
+            "version": result.get("version", "unknown"),
+        }
+
+        return [Document(page_content=markdown_content, metadata=metadata)]
+
+    def _load_cloud_api(self) -> List[Document]:
+        """
+        Load document using Cloud API (asynchronous).
+        Uses batch upload endpoint to avoid need for public file URLs.
+        """
+        log.info(f"Using MinerU Cloud API at {self.api_url}")
+
+        filename = os.path.basename(self.file_path)
+
+        # Step 1: Request presigned upload URL
+        batch_id, upload_url = self._request_upload_url(filename)
+
+        # Step 2: Upload file to presigned URL
+        self._upload_to_presigned_url(upload_url)
+
+        # Step 3: Poll for results
+        result = self._poll_batch_status(batch_id, filename)
+
+        # Step 4: Download and extract markdown from ZIP
+        markdown_content = self._download_and_extract_zip(
+            result["full_zip_url"], filename
+        )
+
+        log.info(f"Successfully parsed document with MinerU Cloud API: {filename}")
+
+        # Create metadata
+        metadata = {
+            "source": filename,
+            "api_mode": "cloud",
+            "batch_id": batch_id,
+        }
+
+        return [Document(page_content=markdown_content, metadata=metadata)]
+
+    def _request_upload_url(self, filename: str) -> tuple:
+        """
+        Request presigned upload URL from Cloud API.
+        Returns (batch_id, upload_url).
+        """
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json",
+        }
+
+        # Build request body
+        request_body = {
+            "enable_formula": self.enable_formula,
+            "enable_table": self.enable_table,
+            "language": self.language,
+            "model_version": self.model_version,
+            "files": [
+                {
+                    "name": filename,
+                    "is_ocr": self.enable_ocr,
+                }
+            ],
+        }
+
+        # Add page ranges if specified
+        if self.page_ranges:
+            request_body["files"][0]["page_ranges"] = self.page_ranges
+
+        log.info(f"Requesting upload URL for: {filename}")
+        log.debug(f"Cloud API request body: {request_body}")
+
+        try:
+            response = requests.post(
+                f"{self.api_url}/file-urls/batch",
+                headers=headers,
+                json=request_body,
+                timeout=30,
+            )
+            response.raise_for_status()
+        except requests.HTTPError as e:
+            error_detail = f"Failed to request upload URL: {e}"
+            if e.response is not None:
+                try:
+                    error_data = e.response.json()
+                    error_detail += f" - {error_data.get('msg', error_data)}"
+                except:
+                    error_detail += f" - {e.response.text}"
+            raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=error_detail)
+        except Exception as e:
+            raise HTTPException(
+                status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail=f"Error requesting upload URL: {str(e)}",
+            )
+
+        try:
+            result = response.json()
+        except ValueError as e:
+            raise HTTPException(
+                status.HTTP_502_BAD_GATEWAY,
+                detail=f"Invalid JSON response: {e}",
+            )
+
+        # Check for API error response
+        if result.get("code") != 0:
+            raise HTTPException(
+                status.HTTP_400_BAD_REQUEST,
+                detail=f"MinerU Cloud API error: {result.get('msg', 'Unknown error')}",
+            )
+
+        data = result.get("data", {})
+        batch_id = data.get("batch_id")
+        file_urls = data.get("file_urls", [])
+
+        if not batch_id or not file_urls:
+            raise HTTPException(
+                status.HTTP_502_BAD_GATEWAY,
+                detail="MinerU Cloud API response missing batch_id or file_urls",
+            )
+
+        upload_url = file_urls[0]
+        log.info(f"Received upload URL for batch: {batch_id}")
+
+        return batch_id, upload_url
+
+    def _upload_to_presigned_url(self, upload_url: str) -> None:
+        """
+        Upload file to presigned URL (no authentication needed).
+        """
+        log.info(f"Uploading file to presigned URL")
+
+        try:
+            with open(self.file_path, "rb") as f:
+                response = requests.put(
+                    upload_url,
+                    data=f,
+                    timeout=300,  # 5 minute timeout for large files
+                )
+                response.raise_for_status()
+        except FileNotFoundError:
+            raise HTTPException(
+                status.HTTP_404_NOT_FOUND, detail=f"File not found: {self.file_path}"
+            )
+        except requests.Timeout:
+            raise HTTPException(
+                status.HTTP_504_GATEWAY_TIMEOUT,
+                detail="File upload to presigned URL timed out",
+            )
+        except requests.HTTPError as e:
+            raise HTTPException(
+                status.HTTP_400_BAD_REQUEST,
+                detail=f"Failed to upload file to presigned URL: {e}",
+            )
+        except Exception as e:
+            raise HTTPException(
+                status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail=f"Error uploading file: {str(e)}",
+            )
+
+        log.info("File uploaded successfully")
+
+    def _poll_batch_status(self, batch_id: str, filename: str) -> dict:
+        """
+        Poll batch status until completion.
+        Returns the result dict for the file.
+        """
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+        }
+
+        max_iterations = 300  # 10 minutes max (2 seconds per iteration)
+        poll_interval = 2  # seconds
+
+        log.info(f"Polling batch status: {batch_id}")
+
+        for iteration in range(max_iterations):
+            try:
+                response = requests.get(
+                    f"{self.api_url}/extract-results/batch/{batch_id}",
+                    headers=headers,
+                    timeout=30,
+                )
+                response.raise_for_status()
+            except requests.HTTPError as e:
+                error_detail = f"Failed to poll batch status: {e}"
+                if e.response is not None:
+                    try:
+                        error_data = e.response.json()
+                        error_detail += f" - {error_data.get('msg', error_data)}"
+                    except:
+                        error_detail += f" - {e.response.text}"
+                raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=error_detail)
+            except Exception as e:
+                raise HTTPException(
+                    status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail=f"Error polling batch status: {str(e)}",
+                )
+
+            try:
+                result = response.json()
+            except ValueError as e:
+                raise HTTPException(
+                    status.HTTP_502_BAD_GATEWAY,
+                    detail=f"Invalid JSON response while polling: {e}",
+                )
+
+            # Check for API error response
+            if result.get("code") != 0:
+                raise HTTPException(
+                    status.HTTP_400_BAD_REQUEST,
+                    detail=f"MinerU Cloud API error: {result.get('msg', 'Unknown error')}",
+                )
+
+            data = result.get("data", {})
+            extract_result = data.get("extract_result", [])
+
+            # Find our file in the batch results
+            file_result = None
+            for item in extract_result:
+                if item.get("file_name") == filename:
+                    file_result = item
+                    break
+
+            if not file_result:
+                raise HTTPException(
+                    status.HTTP_502_BAD_GATEWAY,
+                    detail=f"File {filename} not found in batch results",
+                )
+
+            state = file_result.get("state")
+
+            if state == "done":
+                log.info(f"Processing complete for {filename}")
+                return file_result
+            elif state == "failed":
+                error_msg = file_result.get("err_msg", "Unknown error")
+                raise HTTPException(
+                    status.HTTP_400_BAD_REQUEST,
+                    detail=f"MinerU processing failed: {error_msg}",
+                )
+            elif state in ["waiting-file", "pending", "running", "converting"]:
+                # Still processing
+                if iteration % 10 == 0:  # Log every 20 seconds
+                    log.info(
+                        f"Processing status: {state} (iteration {iteration + 1}/{max_iterations})"
+                    )
+                time.sleep(poll_interval)
+            else:
+                log.warning(f"Unknown state: {state}")
+                time.sleep(poll_interval)
+
+        # Timeout
+        raise HTTPException(
+            status.HTTP_504_GATEWAY_TIMEOUT,
+            detail="MinerU processing timed out after 10 minutes",
+        )
+
+    def _download_and_extract_zip(self, zip_url: str, filename: str) -> str:
+        """
+        Download ZIP file from CDN and extract markdown content.
+        Returns the markdown content as a string.
+        """
+        log.info(f"Downloading results from: {zip_url}")
+
+        try:
+            response = requests.get(zip_url, timeout=60)
+            response.raise_for_status()
+        except requests.HTTPError as e:
+            raise HTTPException(
+                status.HTTP_400_BAD_REQUEST,
+                detail=f"Failed to download results ZIP: {e}",
+            )
+        except Exception as e:
+            raise HTTPException(
+                status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail=f"Error downloading results: {str(e)}",
+            )
+
+        # Save ZIP to temporary file and extract
+        try:
+            with tempfile.NamedTemporaryFile(delete=False, suffix=".zip") as tmp_zip:
+                tmp_zip.write(response.content)
+                tmp_zip_path = tmp_zip.name
+
+            with tempfile.TemporaryDirectory() as tmp_dir:
+                # Extract ZIP
+                with zipfile.ZipFile(tmp_zip_path, "r") as zip_ref:
+                    zip_ref.extractall(tmp_dir)
+
+                # Find markdown file - search recursively for any .md file
+                markdown_content = None
+                found_md_path = None
+
+                # First, list all files in the ZIP for debugging
+                all_files = []
+                for root, dirs, files in os.walk(tmp_dir):
+                    for file in files:
+                        full_path = os.path.join(root, file)
+                        all_files.append(full_path)
+                        # Look for any .md file
+                        if file.endswith(".md"):
+                            found_md_path = full_path
+                            log.info(f"Found markdown file at: {full_path}")
+                            try:
+                                with open(full_path, "r", encoding="utf-8") as f:
+                                    markdown_content = f.read()
+                                if (
+                                    markdown_content
+                                ):  # Use the first non-empty markdown file
+                                    break
+                            except Exception as e:
+                                log.warning(f"Failed to read {full_path}: {e}")
+                    if markdown_content:
+                        break
+
+                if markdown_content is None:
+                    log.error(f"Available files in ZIP: {all_files}")
+                    # Try to provide more helpful error message
+                    md_files = [f for f in all_files if f.endswith(".md")]
+                    if md_files:
+                        error_msg = (
+                            f"Found .md files but couldn't read them: {md_files}"
+                        )
+                    else:
+                        error_msg = (
+                            f"No .md files found in ZIP. Available files: {all_files}"
+                        )
+                    raise HTTPException(
+                        status.HTTP_502_BAD_GATEWAY,
+                        detail=error_msg,
+                    )
+
+            # Clean up temporary ZIP file
+            os.unlink(tmp_zip_path)
+
+        except zipfile.BadZipFile as e:
+            raise HTTPException(
+                status.HTTP_502_BAD_GATEWAY,
+                detail=f"Invalid ZIP file received: {e}",
+            )
+        except Exception as e:
+            raise HTTPException(
+                status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail=f"Error extracting ZIP: {str(e)}",
+            )
+
+        if not markdown_content:
+            raise HTTPException(
+                status.HTTP_400_BAD_REQUEST,
+                detail="Extracted markdown content is empty",
+            )
+
+        log.info(
+            f"Successfully extracted markdown content ({len(markdown_content)} characters)"
+        )
+        return markdown_content
@@ -30,10 +30,9 @@ class MistralLoader:
    - Enhanced error handling with retryable error classification
    """

-    BASE_API_URL = "https://api.mistral.ai/v1"
-
    def __init__(
        self,
+        base_url: str,
        api_key: str,
        file_path: str,
        timeout: int = 300,  # 5 minutes default
@@ -55,6 +54,9 @@ class MistralLoader:
        if not os.path.exists(file_path):
            raise FileNotFoundError(f"File not found at {file_path}")

+        self.base_url = (
+            base_url.rstrip("/") if base_url else "https://api.mistral.ai/v1"
+        )
        self.api_key = api_key
        self.file_path = file_path
        self.timeout = timeout
@@ -240,7 +242,7 @@ class MistralLoader:
        in a context manager to minimize memory usage duration.
        """
        log.info("Uploading file to Mistral API")
-        url = f"{self.BASE_API_URL}/files"
+        url = f"{self.base_url}/files"

        def upload_request():
            # MEMORY OPTIMIZATION: Use context manager to minimize file handle lifetime
@@ -275,7 +277,7 @@ class MistralLoader:

    async def _upload_file_async(self, session: aiohttp.ClientSession) -> str:
        """Async file upload with streaming for better memory efficiency."""
-        url = f"{self.BASE_API_URL}/files"
+        url = f"{self.base_url}/files"

        async def upload_request():
            # Create multipart writer for streaming upload
@@ -321,7 +323,7 @@ class MistralLoader:
    def _get_signed_url(self, file_id: str) -> str:
        """Retrieves a temporary signed URL for the uploaded file (sync version)."""
        log.info(f"Getting signed URL for file ID: {file_id}")
-        url = f"{self.BASE_API_URL}/files/{file_id}/url"
+        url = f"{self.base_url}/files/{file_id}/url"
        params = {"expiry": 1}
        signed_url_headers = {**self.headers, "Accept": "application/json"}

@@ -346,7 +348,7 @@ class MistralLoader:
        self, session: aiohttp.ClientSession, file_id: str
    ) -> str:
        """Async signed URL retrieval."""
-        url = f"{self.BASE_API_URL}/files/{file_id}/url"
+        url = f"{self.base_url}/files/{file_id}/url"
        params = {"expiry": 1}

        headers = {**self.headers, "Accept": "application/json"}
@@ -373,7 +375,7 @@ class MistralLoader:
    def _process_ocr(self, signed_url: str) -> Dict[str, Any]:
        """Sends the signed URL to the OCR endpoint for processing (sync version)."""
        log.info("Processing OCR via Mistral API")
-        url = f"{self.BASE_API_URL}/ocr"
+        url = f"{self.base_url}/ocr"
        ocr_headers = {
            **self.headers,
            "Content-Type": "application/json",
@@ -407,7 +409,7 @@ class MistralLoader:
        self, session: aiohttp.ClientSession, signed_url: str
    ) -> Dict[str, Any]:
        """Async OCR processing with timing metrics."""
-        url = f"{self.BASE_API_URL}/ocr"
+        url = f"{self.base_url}/ocr"

        headers = {
            **self.headers,
@@ -446,7 +448,7 @@ class MistralLoader:
    def _delete_file(self, file_id: str) -> None:
        """Deletes the file from Mistral storage (sync version)."""
        log.info(f"Deleting uploaded file ID: {file_id}")
-        url = f"{self.BASE_API_URL}/files/{file_id}"
+        url = f"{self.base_url}/files/{file_id}"

        try:
            response = requests.delete(
@@ -467,7 +469,7 @@ class MistralLoader:
            async def delete_request():
                self._debug_log(f"Deleting file ID: {file_id}")
                async with session.delete(
-                    url=f"{self.BASE_API_URL}/files/{file_id}",
+                    url=f"{self.base_url}/files/{file_id}",
                    headers=self.headers,
                    timeout=aiohttp.ClientTimeout(
                        total=self.cleanup_timeout
@@ -83,6 +83,7 @@ class YoutubeLoader:
                TranscriptsDisabled,
                YouTubeTranscriptApi,
            )
+            from youtube_transcript_api.proxies import GenericProxyConfig
        except ImportError:
            raise ImportError(
                'Could not import "youtube_transcript_api" Python package. '
@@ -90,18 +91,16 @@ class YoutubeLoader:
            )

        if self.proxy_url:
-            youtube_proxies = {
-                "http": self.proxy_url,
-                "https": self.proxy_url,
-            }
+            youtube_proxies = GenericProxyConfig(
+                http_url=self.proxy_url, https_url=self.proxy_url
+            )
            log.debug(f"Using proxy URL: {self.proxy_url[:14]}...")
        else:
            youtube_proxies = None

+        transcript_api = YouTubeTranscriptApi(proxy_config=youtube_proxies)
        try:
-            transcript_list = YouTubeTranscriptApi.list_transcripts(
-                self.video_id, proxies=youtube_proxies
-            )
+            transcript_list = transcript_api.list(self.video_id)
        except Exception as e:
            log.exception("Loading YouTube transcript failed")
            return []
@@ -158,3 +157,10 @@ class YoutubeLoader:
            f"No transcript found for any of the specified languages: {languages_tried}. Verify if the video has transcripts, add more languages if needed."
        )
        raise NoTranscriptFound(self.video_id, self.language, list(transcript_list))
+
+    async def aload(self) -> Generator[Document, None, None]:
+        """Asynchronously load YouTube transcripts into `Document` objects."""
+        import asyncio
+
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, self.load)
@@ -6,6 +6,7 @@ import requests
 import hashlib
 from concurrent.futures import ThreadPoolExecutor
 import time
+import re

 from urllib.parse import quote
 from huggingface_hub import snapshot_download
@@ -16,13 +17,20 @@ from langchain_core.documents import Document
 from open_webui.config import VECTOR_DB
 from open_webui.retrieval.vector.factory import VECTOR_DB_CLIENT

+
 from open_webui.models.users import UserModel
 from open_webui.models.files import Files
 from open_webui.models.knowledge import Knowledges
+
+from open_webui.models.chats import Chats
 from open_webui.models.notes import Notes

 from open_webui.retrieval.vector.main import GetResult
 from open_webui.utils.access_control import has_access
+from open_webui.utils.misc import get_message_list
+
+from open_webui.retrieval.web.utils import get_web_loader
+from open_webui.retrieval.loaders.youtube import YoutubeLoader


 from open_webui.env import (
@@ -46,6 +54,34 @@ from langchain_core.callbacks import CallbackManagerForRetrieverRun
 from langchain_core.retrievers import BaseRetriever


+def is_youtube_url(url: str) -> bool:
+    youtube_regex = r"^(https?://)?(www\.)?(youtube\.com|youtu\.be)/.+$"
+    return re.match(youtube_regex, url) is not None
+
+
+def get_loader(request, url: str):
+    if is_youtube_url(url):
+        return YoutubeLoader(
+            url,
+            language=request.app.state.config.YOUTUBE_LOADER_LANGUAGE,
+            proxy_url=request.app.state.config.YOUTUBE_LOADER_PROXY_URL,
+        )
+    else:
+        return get_web_loader(
+            url,
+            verify_ssl=request.app.state.config.ENABLE_WEB_LOADER_SSL_VERIFICATION,
+            requests_per_second=request.app.state.config.WEB_LOADER_CONCURRENT_REQUESTS,
+            trust_env=request.app.state.config.WEB_SEARCH_TRUST_ENV,
+        )
+
+
+def get_content_from_url(request, url: str) -> str:
+    loader = get_loader(request, url)
+    docs = loader.load()
+    content = " ".join([doc.page_content for doc in docs])
+    return content, docs
+
+
 class VectorSearchRetriever(BaseRetriever):
    collection_name: Any
    embedding_function: Any
@@ -124,14 +160,23 @@ def query_doc_with_hybrid_search(
    hybrid_bm25_weight: float,
 ) -> dict:
    try:
-        # BM_25 required only if weight is greater than 0
-        if hybrid_bm25_weight > 0:
-            log.debug(f"query_doc_with_hybrid_search:doc {collection_name}")
-            bm25_retriever = BM25Retriever.from_texts(
-                texts=collection_result.documents[0],
-                metadatas=collection_result.metadatas[0],
-            )
-            bm25_retriever.k = k
+        if (
+            not collection_result
+            or not hasattr(collection_result, "documents")
+            or not collection_result.documents
+            or len(collection_result.documents) == 0
+            or not collection_result.documents[0]
+        ):
+            log.warning(f"query_doc_with_hybrid_search:no_docs {collection_name}")
+            return {"documents": [], "metadatas": [], "distances": []}
+
+        log.debug(f"query_doc_with_hybrid_search:doc {collection_name}")
+
+        bm25_retriever = BM25Retriever.from_texts(
+            texts=collection_result.documents[0],
+            metadatas=collection_result.metadatas[0],
+        )
+        bm25_retriever.k = k

        vector_search_retriever = VectorSearchRetriever(
            collection_name=collection_name,
@@ -176,7 +221,11 @@ def query_doc_with_hybrid_search(
                zip(distances, metadatas, documents), key=lambda x: x[0], reverse=True
            )
            sorted_items = sorted_items[:k]
-            distances, documents, metadatas = map(list, zip(*sorted_items))
+
+            if sorted_items:
+                distances, documents, metadatas = map(list, zip(*sorted_items))
+            else:
+                distances, documents, metadatas = [], [], []

        result = {
            "distances": [distances],
@@ -220,6 +269,13 @@ def merge_and_sort_query_results(query_results: list[dict], k: int) -> dict:
    combined = dict()  # To store documents with unique document hashes

    for data in query_results:
+        if (
+            len(data.get("distances", [])) == 0
+            or len(data.get("documents", [])) == 0
+            or len(data.get("metadatas", [])) == 0
+        ):
+            continue
+
        distances = data["distances"][0]
        documents = data["documents"][0]
        metadatas = data["metadatas"][0]
@@ -339,22 +395,18 @@ def query_collection_with_hybrid_search(
    # Fetch collection data once per collection sequentially
    # Avoid fetching the same data multiple times later
    collection_results = {}
-    # Only retrieve entire collection if bm_25 calculation is required
-    if hybrid_bm25_weight > 0:
-        for collection_name in collection_names:
-            try:
-                log.debug(
-                    f"query_collection_with_hybrid_search:VECTOR_DB_CLIENT.get:collection {collection_name}"
-                )
-                collection_results[collection_name] = VECTOR_DB_CLIENT.get(
-                    collection_name=collection_name
-                )
-            except Exception as e:
-                log.exception(f"Failed to fetch collection {collection_name}: {e}")
-                collection_results[collection_name] = None
-    else:
-        for collection_name in collection_names:
-            collection_results[collection_name] = []
+    for collection_name in collection_names:
+        try:
+            log.debug(
+                f"query_collection_with_hybrid_search:VECTOR_DB_CLIENT.get:collection {collection_name}"
+            )
+            collection_results[collection_name] = VECTOR_DB_CLIENT.get(
+                collection_name=collection_name
+            )
+        except Exception as e:
+            log.exception(f"Failed to fetch collection {collection_name}: {e}")
+            collection_results[collection_name] = None
+
    log.info(
        f"Starting hybrid search for {len(queries)} queries in {len(collection_names)} collections..."
    )
@@ -433,13 +485,14 @@ def get_embedding_function(
            if isinstance(query, list):
                embeddings = []
                for i in range(0, len(query), embedding_batch_size):
-                    embeddings.extend(
-                        func(
-                            query[i : i + embedding_batch_size],
-                            prefix=prefix,
-                            user=user,
-                        )
+                    batch_embeddings = func(
+                        query[i : i + embedding_batch_size],
+                        prefix=prefix,
+                        user=user,
                    )
+
+                    if isinstance(batch_embeddings, list):
+                        embeddings.extend(batch_embeddings)
                return embeddings
            else:
                return func(query, prefix, user)
@@ -489,26 +542,39 @@ def get_sources_from_items(

        if item.get("type") == "text":
            # Raw Text
-            # Used during temporary chat file uploads
+            # Used during temporary chat file uploads or web page & youtube attachements

-            if item.get("file"):
-                # if item has file data, use it
-                query_result = {
-                    "documents": [
-                        [item.get("file", {}).get("data", {}).get("content")]
-                    ],
-                    "metadatas": [
-                        [item.get("file", {}).get("data", {}).get("meta", {})]
-                    ],
-                }
-            else:
-                # Fallback to item content
-                query_result = {
-                    "documents": [[item.get("content")]],
-                    "metadatas": [
-                        [{"file_id": item.get("id"), "name": item.get("name")}]
-                    ],
-                }
+            if item.get("context") == "full":
+                if item.get("file"):
+                    # if item has file data, use it
+                    query_result = {
+                        "documents": [
+                            [item.get("file", {}).get("data", {}).get("content")]
+                        ],
+                        "metadatas": [[item.get("file", {}).get("meta", {})]],
+                    }
+
+            if query_result is None:
+                # Fallback
+                if item.get("collection_name"):
+                    # If item has a collection name, use it
+                    collection_names.append(item.get("collection_name"))
+                elif item.get("file"):
+                    # If item has file data, use it
+                    query_result = {
+                        "documents": [
+                            [item.get("file", {}).get("data", {}).get("content")]
+                        ],
+                        "metadatas": [[item.get("file", {}).get("meta", {})]],
+                    }
+                else:
+                    # Fallback to item content
+                    query_result = {
+                        "documents": [[item.get("content")]],
+                        "metadatas": [
+                            [{"file_id": item.get("id"), "name": item.get("name")}]
+                        ],
+                    }

        elif item.get("type") == "note":
            # Note Attached
@@ -525,6 +591,37 @@ def get_sources_from_items(
                    "metadatas": [[{"file_id": note.id, "name": note.title}]],
                }

+        elif item.get("type") == "chat":
+            # Chat Attached
+            chat = Chats.get_chat_by_id(item.get("id"))
+
+            if chat and (user.role == "admin" or chat.user_id == user.id):
+                messages_map = chat.chat.get("history", {}).get("messages", {})
+                message_id = chat.chat.get("history", {}).get("currentId")
+
+                if messages_map and message_id:
+                    # Reconstruct the message list in order
+                    message_list = get_message_list(messages_map, message_id)
+                    message_history = "\n".join(
+                        [
+                            f"#### {m.get('role', 'user').capitalize()}\n{m.get('content')}\n"
+                            for m in message_list
+                        ]
+                    )
+
+                    # User has access to the chat
+                    query_result = {
+                        "documents": [[message_history]],
+                        "metadatas": [[{"file_id": chat.id, "name": chat.title}]],
+                    }
+
+        elif item.get("type") == "url":
+            content, docs = get_content_from_url(request, item.get("url"))
+            if docs:
+                query_result = {
+                    "documents": [[content]],
+                    "metadatas": [[{"url": item.get("url"), "name": item.get("url")}]],
+                }
        elif item.get("type") == "file":
            if (
                item.get("context") == "full"
@@ -572,45 +669,51 @@ def get_sources_from_items(
                    collection_names.append(f"file-{item['id']}")

        elif item.get("type") == "collection":
-            if (
-                item.get("context") == "full"
-                or request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
+            # Manual Full Mode Toggle for Collection
+            knowledge_base = Knowledges.get_knowledge_by_id(item.get("id"))
+
+            if knowledge_base and (
+                user.role == "admin"
+                or knowledge_base.user_id == user.id
+                or has_access(user.id, "read", knowledge_base.access_control)
            ):
-                # Manual Full Mode Toggle for Collection
-                knowledge_base = Knowledges.get_knowledge_by_id(item.get("id"))
-
-                if knowledge_base and (
-                    user.role == "admin"
-                    or has_access(user.id, "read", knowledge_base.access_control)
+                if (
+                    item.get("context") == "full"
+                    or request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
                ):
+                    if knowledge_base and (
+                        user.role == "admin"
+                        or knowledge_base.user_id == user.id
+                        or has_access(user.id, "read", knowledge_base.access_control)
+                    ):

-                    file_ids = knowledge_base.data.get("file_ids", [])
+                        file_ids = knowledge_base.data.get("file_ids", [])

-                    documents = []
-                    metadatas = []
-                    for file_id in file_ids:
-                        file_object = Files.get_file_by_id(file_id)
+                        documents = []
+                        metadatas = []
+                        for file_id in file_ids:
+                            file_object = Files.get_file_by_id(file_id)

-                        if file_object:
-                            documents.append(file_object.data.get("content", ""))
-                            metadatas.append(
-                                {
-                                    "file_id": file_id,
-                                    "name": file_object.filename,
-                                    "source": file_object.filename,
-                                }
-                            )
+                            if file_object:
+                                documents.append(file_object.data.get("content", ""))
+                                metadatas.append(
+                                    {
+                                        "file_id": file_id,
+                                        "name": file_object.filename,
+                                        "source": file_object.filename,
+                                    }
+                                )

-                    query_result = {
-                        "documents": [documents],
-                        "metadatas": [metadatas],
-                    }
-            else:
-                # Fallback to collection names
-                if item.get("legacy"):
-                    collection_names = item.get("collection_names", [])
+                        query_result = {
+                            "documents": [documents],
+                            "metadatas": [metadatas],
+                        }
                else:
-                    collection_names.append(item["id"])
+                    # Fallback to collection names
+                    if item.get("legacy"):
+                        collection_names = item.get("collection_names", [])
+                    else:
+                        collection_names.append(item["id"])

        elif item.get("docs"):
            # BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL
@@ -689,7 +792,6 @@ def get_sources_from_items(
                    sources.append(source)
        except Exception as e:
            log.exception(e)
-
    return sources


@@ -966,7 +1068,7 @@ class RerankCompressor(BaseDocumentCompressor):
            )
            scores = util.cos_sim(query_embedding, document_embedding)[0]

-        if scores:
+        if scores is not None:
            docs_with_scores = list(
                zip(
                    documents,
@@ -11,7 +11,7 @@ from open_webui.retrieval.vector.main import (
    SearchResult,
    GetResult,
 )
-from open_webui.retrieval.vector.utils import stringify_metadata
+from open_webui.retrieval.vector.utils import process_metadata

 from open_webui.config import (
    CHROMA_DATA_PATH,
@@ -146,7 +146,7 @@ class ChromaClient(VectorDBBase):
        ids = [item["id"] for item in items]
        documents = [item["text"] for item in items]
        embeddings = [item["vector"] for item in items]
-        metadatas = [stringify_metadata(item["metadata"]) for item in items]
+        metadatas = [process_metadata(item["metadata"]) for item in items]

        for batch in create_batches(
            api=self.client,
@@ -166,7 +166,7 @@ class ChromaClient(VectorDBBase):
        ids = [item["id"] for item in items]
        documents = [item["text"] for item in items]
        embeddings = [item["vector"] for item in items]
-        metadatas = [stringify_metadata(item["metadata"]) for item in items]
+        metadatas = [process_metadata(item["metadata"]) for item in items]

        collection.upsert(
            ids=ids, documents=documents, embeddings=embeddings, metadatas=metadatas
@@ -3,7 +3,7 @@ from typing import Optional
 import ssl
 from elasticsearch.helpers import bulk, scan

-from open_webui.retrieval.vector.utils import stringify_metadata
+from open_webui.retrieval.vector.utils import process_metadata
 from open_webui.retrieval.vector.main import (
    VectorDBBase,
    VectorItem,
@@ -245,7 +245,7 @@ class ElasticsearchClient(VectorDBBase):
                        "collection": collection_name,
                        "vector": item["vector"],
                        "text": item["text"],
-                        "metadata": stringify_metadata(item["metadata"]),
+                        "metadata": process_metadata(item["metadata"]),
                    },
                }
                for item in batch
@@ -266,7 +266,7 @@ class ElasticsearchClient(VectorDBBase):
                        "collection": collection_name,
                        "vector": item["vector"],
                        "text": item["text"],
-                        "metadata": stringify_metadata(item["metadata"]),
+                        "metadata": process_metadata(item["metadata"]),
                    },
                    "doc_as_upsert": True,
                }
@@ -6,7 +6,7 @@ import json
 import logging
 from typing import Optional

-from open_webui.retrieval.vector.utils import stringify_metadata
+from open_webui.retrieval.vector.utils import process_metadata
 from open_webui.retrieval.vector.main import (
    VectorDBBase,
    VectorItem,
@@ -22,6 +22,8 @@ from open_webui.config import (
    MILVUS_HNSW_M,
    MILVUS_HNSW_EFCONSTRUCTION,
    MILVUS_IVF_FLAT_NLIST,
+    MILVUS_DISKANN_MAX_DEGREE,
+    MILVUS_DISKANN_SEARCH_LIST_SIZE,
 )
 from open_webui.env import SRC_LOG_LEVELS

@@ -131,12 +133,18 @@ class MilvusClient(VectorDBBase):
        elif index_type == "IVF_FLAT":
            index_creation_params = {"nlist": MILVUS_IVF_FLAT_NLIST}
            log.info(f"IVF_FLAT params: {index_creation_params}")
+        elif index_type == "DISKANN":
+            index_creation_params = {
+                "max_degree": MILVUS_DISKANN_MAX_DEGREE,
+                "search_list_size": MILVUS_DISKANN_SEARCH_LIST_SIZE,
+            }
+            log.info(f"DISKANN params: {index_creation_params}")
        elif index_type in ["FLAT", "AUTOINDEX"]:
            log.info(f"Using {index_type} index with no specific build-time params.")
        else:
            log.warning(
                f"Unsupported MILVUS_INDEX_TYPE: '{index_type}'. "
-                f"Supported types: HNSW, IVF_FLAT, FLAT, AUTOINDEX. "
+                f"Supported types: HNSW, IVF_FLAT, DISKANN, FLAT, AUTOINDEX. "
                f"Milvus will use its default for the collection if this type is not directly supported for index creation."
            )
            # For unsupported types, pass the type directly to Milvus; it might handle it or use a default.
@@ -189,7 +197,7 @@ class MilvusClient(VectorDBBase):
        )
        return self._result_to_search_result(result)

-    def query(self, collection_name: str, filter: dict, limit: Optional[int] = None):
+    def query(self, collection_name: str, filter: dict, limit: int = -1):
        connections.connect(uri=MILVUS_URI, token=MILVUS_TOKEN, db_name=MILVUS_DB)

        # Construct the filter string for querying
@@ -222,7 +230,7 @@ class MilvusClient(VectorDBBase):
                    "data",
                    "metadata",
                ],
-                limit=limit,  # Pass the limit directly; None means no limit.
+                limit=limit,  # Pass the limit directly; -1 means no limit.
            )

            while True:
@@ -249,7 +257,7 @@ class MilvusClient(VectorDBBase):
        )
        # Using query with a trivial filter to get all items.
        # This will use the paginated query logic.
-        return self.query(collection_name=collection_name, filter={}, limit=None)
+        return self.query(collection_name=collection_name, filter={}, limit=-1)

    def insert(self, collection_name: str, items: list[VectorItem]):
        # Insert the items into the collection, if the collection does not exist, it will be created.
@@ -281,7 +289,7 @@ class MilvusClient(VectorDBBase):
                    "id": item["id"],
                    "vector": item["vector"],
                    "data": {"text": item["text"]},
-                    "metadata": stringify_metadata(item["metadata"]),
+                    "metadata": process_metadata(item["metadata"]),
                }
                for item in items
            ],
@@ -317,7 +325,7 @@ class MilvusClient(VectorDBBase):
                    "id": item["id"],
                    "vector": item["vector"],
                    "data": {"text": item["text"]},
-                    "metadata": stringify_metadata(item["metadata"]),
+                    "metadata": process_metadata(item["metadata"]),
                }
                for item in items
            ],
@@ -0,0 +1,282 @@
+import logging
+from typing import Optional, Tuple, List, Dict, Any
+
+from open_webui.config import (
+    MILVUS_URI,
+    MILVUS_TOKEN,
+    MILVUS_DB,
+    MILVUS_COLLECTION_PREFIX,
+    MILVUS_INDEX_TYPE,
+    MILVUS_METRIC_TYPE,
+    MILVUS_HNSW_M,
+    MILVUS_HNSW_EFCONSTRUCTION,
+    MILVUS_IVF_FLAT_NLIST,
+)
+from open_webui.env import SRC_LOG_LEVELS
+from open_webui.retrieval.vector.main import (
+    GetResult,
+    SearchResult,
+    VectorDBBase,
+    VectorItem,
+)
+from pymilvus import (
+    connections,
+    utility,
+    Collection,
+    CollectionSchema,
+    FieldSchema,
+    DataType,
+)
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+RESOURCE_ID_FIELD = "resource_id"
+
+
+class MilvusClient(VectorDBBase):
+    def __init__(self):
+        # Milvus collection names can only contain numbers, letters, and underscores.
+        self.collection_prefix = MILVUS_COLLECTION_PREFIX.replace("-", "_")
+        connections.connect(
+            alias="default",
+            uri=MILVUS_URI,
+            token=MILVUS_TOKEN,
+            db_name=MILVUS_DB,
+        )
+
+        # Main collection types for multi-tenancy
+        self.MEMORY_COLLECTION = f"{self.collection_prefix}_memories"
+        self.KNOWLEDGE_COLLECTION = f"{self.collection_prefix}_knowledge"
+        self.FILE_COLLECTION = f"{self.collection_prefix}_files"
+        self.WEB_SEARCH_COLLECTION = f"{self.collection_prefix}_web_search"
+        self.HASH_BASED_COLLECTION = f"{self.collection_prefix}_hash_based"
+        self.shared_collections = [
+            self.MEMORY_COLLECTION,
+            self.KNOWLEDGE_COLLECTION,
+            self.FILE_COLLECTION,
+            self.WEB_SEARCH_COLLECTION,
+            self.HASH_BASED_COLLECTION,
+        ]
+
+    def _get_collection_and_resource_id(self, collection_name: str) -> Tuple[str, str]:
+        """
+        Maps the traditional collection name to multi-tenant collection and resource ID.
+
+        WARNING: This mapping relies on current Open WebUI naming conventions for
+        collection names. If Open WebUI changes how it generates collection names
+        (e.g., "user-memory-" prefix, "file-" prefix, web search patterns, or hash
+        formats), this mapping will break and route data to incorrect collections.
+        POTENTIALLY CAUSING HUGE DATA CORRUPTION, DATA CONSISTENCY ISSUES AND INCORRECT
+        DATA MAPPING INSIDE THE DATABASE.
+        """
+        resource_id = collection_name
+
+        if collection_name.startswith("user-memory-"):
+            return self.MEMORY_COLLECTION, resource_id
+        elif collection_name.startswith("file-"):
+            return self.FILE_COLLECTION, resource_id
+        elif collection_name.startswith("web-search-"):
+            return self.WEB_SEARCH_COLLECTION, resource_id
+        elif len(collection_name) == 63 and all(
+            c in "0123456789abcdef" for c in collection_name
+        ):
+            return self.HASH_BASED_COLLECTION, resource_id
+        else:
+            return self.KNOWLEDGE_COLLECTION, resource_id
+
+    def _create_shared_collection(self, mt_collection_name: str, dimension: int):
+        fields = [
+            FieldSchema(
+                name="id",
+                dtype=DataType.VARCHAR,
+                is_primary=True,
+                auto_id=False,
+                max_length=36,
+            ),
+            FieldSchema(name="vector", dtype=DataType.FLOAT_VECTOR, dim=dimension),
+            FieldSchema(name="text", dtype=DataType.VARCHAR, max_length=65535),
+            FieldSchema(name="metadata", dtype=DataType.JSON),
+            FieldSchema(name=RESOURCE_ID_FIELD, dtype=DataType.VARCHAR, max_length=255),
+        ]
+        schema = CollectionSchema(fields, "Shared collection for multi-tenancy")
+        collection = Collection(mt_collection_name, schema)
+
+        index_params = {
+            "metric_type": MILVUS_METRIC_TYPE,
+            "index_type": MILVUS_INDEX_TYPE,
+            "params": {},
+        }
+        if MILVUS_INDEX_TYPE == "HNSW":
+            index_params["params"] = {
+                "M": MILVUS_HNSW_M,
+                "efConstruction": MILVUS_HNSW_EFCONSTRUCTION,
+            }
+        elif MILVUS_INDEX_TYPE == "IVF_FLAT":
+            index_params["params"] = {"nlist": MILVUS_IVF_FLAT_NLIST}
+
+        collection.create_index("vector", index_params)
+        collection.create_index(RESOURCE_ID_FIELD)
+        log.info(f"Created shared collection: {mt_collection_name}")
+        return collection
+
+    def _ensure_collection(self, mt_collection_name: str, dimension: int):
+        if not utility.has_collection(mt_collection_name):
+            self._create_shared_collection(mt_collection_name, dimension)
+
+    def has_collection(self, collection_name: str) -> bool:
+        mt_collection, resource_id = self._get_collection_and_resource_id(
+            collection_name
+        )
+        if not utility.has_collection(mt_collection):
+            return False
+
+        collection = Collection(mt_collection)
+        collection.load()
+        res = collection.query(expr=f"{RESOURCE_ID_FIELD} == '{resource_id}'", limit=1)
+        return len(res) > 0
+
+    def upsert(self, collection_name: str, items: List[VectorItem]):
+        if not items:
+            return
+        mt_collection, resource_id = self._get_collection_and_resource_id(
+            collection_name
+        )
+        dimension = len(items[0]["vector"])
+        self._ensure_collection(mt_collection, dimension)
+        collection = Collection(mt_collection)
+
+        entities = [
+            {
+                "id": item["id"],
+                "vector": item["vector"],
+                "text": item["text"],
+                "metadata": item["metadata"],
+                RESOURCE_ID_FIELD: resource_id,
+            }
+            for item in items
+        ]
+        collection.insert(entities)
+        collection.flush()
+
+    def search(
+        self, collection_name: str, vectors: List[List[float]], limit: int
+    ) -> Optional[SearchResult]:
+        if not vectors:
+            return None
+
+        mt_collection, resource_id = self._get_collection_and_resource_id(
+            collection_name
+        )
+        if not utility.has_collection(mt_collection):
+            return None
+
+        collection = Collection(mt_collection)
+        collection.load()
+
+        search_params = {"metric_type": MILVUS_METRIC_TYPE, "params": {}}
+        results = collection.search(
+            data=vectors,
+            anns_field="vector",
+            param=search_params,
+            limit=limit,
+            expr=f"{RESOURCE_ID_FIELD} == '{resource_id}'",
+            output_fields=["id", "text", "metadata"],
+        )
+
+        ids, documents, metadatas, distances = [], [], [], []
+        for hits in results:
+            batch_ids, batch_docs, batch_metadatas, batch_dists = [], [], [], []
+            for hit in hits:
+                batch_ids.append(hit.entity.get("id"))
+                batch_docs.append(hit.entity.get("text"))
+                batch_metadatas.append(hit.entity.get("metadata"))
+                batch_dists.append(hit.distance)
+            ids.append(batch_ids)
+            documents.append(batch_docs)
+            metadatas.append(batch_metadatas)
+            distances.append(batch_dists)
+
+        return SearchResult(
+            ids=ids, documents=documents, metadatas=metadatas, distances=distances
+        )
+
+    def delete(
+        self,
+        collection_name: str,
+        ids: Optional[List[str]] = None,
+        filter: Optional[Dict[str, Any]] = None,
+    ):
+        mt_collection, resource_id = self._get_collection_and_resource_id(
+            collection_name
+        )
+        if not utility.has_collection(mt_collection):
+            return
+
+        collection = Collection(mt_collection)
+
+        # Build expression
+        expr = [f"{RESOURCE_ID_FIELD} == '{resource_id}'"]
+        if ids:
+            # Milvus expects a string list for 'in' operator
+            id_list_str = ", ".join([f"'{id_val}'" for id_val in ids])
+            expr.append(f"id in [{id_list_str}]")
+
+        if filter:
+            for key, value in filter.items():
+                expr.append(f"metadata['{key}'] == '{value}'")
+
+        collection.delete(" and ".join(expr))
+
+    def reset(self):
+        for collection_name in self.shared_collections:
+            if utility.has_collection(collection_name):
+                utility.drop_collection(collection_name)
+
+    def delete_collection(self, collection_name: str):
+        mt_collection, resource_id = self._get_collection_and_resource_id(
+            collection_name
+        )
+        if not utility.has_collection(mt_collection):
+            return
+
+        collection = Collection(mt_collection)
+        collection.delete(f"{RESOURCE_ID_FIELD} == '{resource_id}'")
+
+    def query(
+        self, collection_name: str, filter: Dict[str, Any], limit: Optional[int] = None
+    ) -> Optional[GetResult]:
+        mt_collection, resource_id = self._get_collection_and_resource_id(
+            collection_name
+        )
+        if not utility.has_collection(mt_collection):
+            return None
+
+        collection = Collection(mt_collection)
+        collection.load()
+
+        expr = [f"{RESOURCE_ID_FIELD} == '{resource_id}'"]
+        if filter:
+            for key, value in filter.items():
+                if isinstance(value, str):
+                    expr.append(f"metadata['{key}'] == '{value}'")
+                else:
+                    expr.append(f"metadata['{key}'] == {value}")
+
+        results = collection.query(
+            expr=" and ".join(expr),
+            output_fields=["id", "text", "metadata"],
+            limit=limit,
+        )
+
+        ids = [res["id"] for res in results]
+        documents = [res["text"] for res in results]
+        metadatas = [res["metadata"] for res in results]
+
+        return GetResult(ids=[ids], documents=[documents], metadatas=[metadatas])
+
+    def get(self, collection_name: str) -> Optional[GetResult]:
+        return self.query(collection_name, filter={}, limit=None)
+
+    def insert(self, collection_name: str, items: List[VectorItem]):
+        return self.upsert(collection_name, items)
@@ -2,7 +2,7 @@ from opensearchpy import OpenSearch
 from opensearchpy.helpers import bulk
 from typing import Optional

-from open_webui.retrieval.vector.utils import stringify_metadata
+from open_webui.retrieval.vector.utils import process_metadata
 from open_webui.retrieval.vector.main import (
    VectorDBBase,
    VectorItem,
@@ -201,7 +201,7 @@ class OpenSearchClient(VectorDBBase):
                    "_source": {
                        "vector": item["vector"],
                        "text": item["text"],
-                        "metadata": stringify_metadata(item["metadata"]),
+                        "metadata": process_metadata(item["metadata"]),
                    },
                }
                for item in batch
@@ -223,7 +223,7 @@ class OpenSearchClient(VectorDBBase):
                    "doc": {
                        "vector": item["vector"],
                        "text": item["text"],
-                        "metadata": stringify_metadata(item["metadata"]),
+                        "metadata": process_metadata(item["metadata"]),
                    },
                    "doc_as_upsert": True,
                }
@@ -717,7 +717,7 @@ class Oracle23aiClient(VectorDBBase):
        )

        try:
-            limit = limit or 1000
+            limit = 1000  # Hardcoded limit for get operation

            with self.get_connection() as connection:
                with connection.cursor() as cursor:
@@ -27,7 +27,7 @@ from sqlalchemy.ext.mutable import MutableDict
 from sqlalchemy.exc import NoSuchTableError


-from open_webui.retrieval.vector.utils import stringify_metadata
+from open_webui.retrieval.vector.utils import process_metadata
 from open_webui.retrieval.vector.main import (
    VectorDBBase,
    VectorItem,
@@ -37,6 +37,7 @@ from open_webui.retrieval.vector.main import (
 from open_webui.config import (
    PGVECTOR_DB_URL,
    PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH,
+    PGVECTOR_CREATE_EXTENSION,
    PGVECTOR_PGCRYPTO,
    PGVECTOR_PGCRYPTO_KEY,
    PGVECTOR_POOL_SIZE,
@@ -112,18 +113,19 @@ class PgvectorClient(VectorDBBase):
        try:
            # Ensure the pgvector extension is available
            # Use a conditional check to avoid permission issues on Azure PostgreSQL
-            self.session.execute(
-                text(
-                    """
-                DO $$
-                BEGIN
-                   IF NOT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'vector') THEN
-                      CREATE EXTENSION IF NOT EXISTS vector;
-                   END IF;
-                END $$;
-            """
+            if PGVECTOR_CREATE_EXTENSION:
+                self.session.execute(
+                    text(
+                        """
+                    DO $$
+                    BEGIN
+                    IF NOT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'vector') THEN
+                        CREATE EXTENSION IF NOT EXISTS vector;
+                    END IF;
+                    END $$;
+                """
+                    )
                )
-            )

            if PGVECTOR_PGCRYPTO:
                # Ensure the pgcrypto extension is available for encryption
@@ -263,7 +265,7 @@ class PgvectorClient(VectorDBBase):
                        vector=vector,
                        collection_name=collection_name,
                        text=item["text"],
-                        vmetadata=stringify_metadata(item["metadata"]),
+                        vmetadata=process_metadata(item["metadata"]),
                    )
                    new_items.append(new_chunk)
                self.session.bulk_save_objects(new_items)
@@ -321,7 +323,7 @@ class PgvectorClient(VectorDBBase):
                    if existing:
                        existing.vector = vector
                        existing.text = item["text"]
-                        existing.vmetadata = stringify_metadata(item["metadata"])
+                        existing.vmetadata = process_metadata(item["metadata"])
                        existing.collection_name = (
                            collection_name  # Update collection_name if necessary
                        )
@@ -331,7 +333,7 @@ class PgvectorClient(VectorDBBase):
                            vector=vector,
                            collection_name=collection_name,
                            text=item["text"],
-                            vmetadata=stringify_metadata(item["metadata"]),
+                            vmetadata=process_metadata(item["metadata"]),
                        )
                        self.session.add(new_chunk)
                self.session.commit()
@@ -32,7 +32,7 @@ from open_webui.config import (
    PINECONE_CLOUD,
 )
 from open_webui.env import SRC_LOG_LEVELS
-from open_webui.retrieval.vector.utils import stringify_metadata
+from open_webui.retrieval.vector.utils import process_metadata


 NO_LIMIT = 10000  # Reasonable limit to avoid overwhelming the system
@@ -185,7 +185,7 @@ class PineconeClient(VectorDBBase):
            point = {
                "id": item["id"],
                "values": item["vector"],
-                "metadata": stringify_metadata(metadata),
+                "metadata": process_metadata(metadata),
            }
            points.append(point)
        return points
@@ -105,6 +105,13 @@ class QdrantClient(VectorDBBase):

        Returns:
            tuple: (collection_name, tenant_id)
+
+        WARNING: This mapping relies on current Open WebUI naming conventions for
+        collection names. If Open WebUI changes how it generates collection names
+        (e.g., "user-memory-" prefix, "file-" prefix, web search patterns, or hash
+        formats), this mapping will break and route data to incorrect collections.
+        POTENTIALLY CAUSING HUGE DATA CORRUPTION, DATA CONSISTENCY ISSUES AND INCORRECT
+        DATA MAPPING INSIDE THE DATABASE.
        """
        # Check for user memory collections
        tenant_id = collection_name
@@ -1,4 +1,4 @@
-from open_webui.retrieval.vector.utils import stringify_metadata
+from open_webui.retrieval.vector.utils import process_metadata
 from open_webui.retrieval.vector.main import (
    VectorDBBase,
    VectorItem,
@@ -185,7 +185,7 @@ class S3VectorClient(VectorDBBase):
                metadata["text"] = item["text"]

                # Convert metadata to string format for consistency
-                metadata = stringify_metadata(metadata)
+                metadata = process_metadata(metadata)

                # Filter metadata to comply with S3 Vector API limit of 10 keys
                metadata = self._filter_metadata(metadata, item["id"])
@@ -256,7 +256,7 @@ class S3VectorClient(VectorDBBase):
                metadata["text"] = item["text"]

                # Convert metadata to string format for consistency
-                metadata = stringify_metadata(metadata)
+                metadata = process_metadata(metadata)

                # Filter metadata to comply with S3 Vector API limit of 10 keys
                metadata = self._filter_metadata(metadata, item["id"])
@@ -1,6 +1,10 @@
 from open_webui.retrieval.vector.main import VectorDBBase
 from open_webui.retrieval.vector.type import VectorType
-from open_webui.config import VECTOR_DB, ENABLE_QDRANT_MULTITENANCY_MODE
+from open_webui.config import (
+    VECTOR_DB,
+    ENABLE_QDRANT_MULTITENANCY_MODE,
+    ENABLE_MILVUS_MULTITENANCY_MODE,
+)


 class Vector:
@@ -12,9 +16,16 @@ class Vector:
        """
        match vector_type:
            case VectorType.MILVUS:
-                from open_webui.retrieval.vector.dbs.milvus import MilvusClient
+                if ENABLE_MILVUS_MULTITENANCY_MODE:
+                    from open_webui.retrieval.vector.dbs.milvus_multitenancy import (
+                        MilvusClient,
+                    )

-                return MilvusClient()
+                    return MilvusClient()
+                else:
+                    from open_webui.retrieval.vector.dbs.milvus import MilvusClient
+
+                    return MilvusClient()
            case VectorType.QDRANT:
                if ENABLE_QDRANT_MULTITENANCY_MODE:
                    from open_webui.retrieval.vector.dbs.qdrant_multitenancy import (
@@ -1,10 +1,24 @@
 from datetime import datetime

+KEYS_TO_EXCLUDE = ["content", "pages", "tables", "paragraphs", "sections", "figures"]

-def stringify_metadata(
+
+def filter_metadata(metadata: dict[str, any]) -> dict[str, any]:
+    metadata = {
+        key: value for key, value in metadata.items() if key not in KEYS_TO_EXCLUDE
+    }
+    return metadata
+
+
+def process_metadata(
    metadata: dict[str, any],
 ) -> dict[str, any]:
    for key, value in metadata.items():
+        # Remove large fields
+        if key in KEYS_TO_EXCLUDE:
+            del metadata[key]
+
+        # Convert non-serializable fields to strings
        if (
            isinstance(value, datetime)
            or isinstance(value, list)
@@ -1,11 +1,10 @@
 import logging
 from typing import Optional, List
-from urllib.parse import urljoin

-import requests
 from open_webui.retrieval.web.main import SearchResult, get_filtered_results
 from open_webui.env import SRC_LOG_LEVELS

+
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["RAG"])

@@ -18,27 +17,20 @@ def search_firecrawl(
    filter_list: Optional[List[str]] = None,
 ) -> List[SearchResult]:
    try:
-        firecrawl_search_url = urljoin(firecrawl_url, "/v1/search")
-        response = requests.post(
-            firecrawl_search_url,
-            headers={
-                "User-Agent": "Open WebUI (https://github.com/open-webui/open-webui) RAG Bot",
-                "Authorization": f"Bearer {firecrawl_api_key}",
-            },
-            json={
-                "query": query,
-                "limit": count,
-            },
+        from firecrawl import FirecrawlApp
+
+        firecrawl = FirecrawlApp(api_key=firecrawl_api_key, api_url=firecrawl_url)
+        response = firecrawl.search(
+            query=query, limit=count, ignore_invalid_urls=True, timeout=count * 3
        )
-        response.raise_for_status()
-        results = response.json().get("data", [])
+        results = response.web
        if filter_list:
            results = get_filtered_results(results, filter_list)
        results = [
            SearchResult(
-                link=result.get("url"),
-                title=result.get("title"),
-                snippet=result.get("description"),
+                link=result.url,
+                title=result.title,
+                snippet=result.description,
            )
            for result in results[:count]
        ]
@@ -15,6 +15,7 @@ def search_google_pse(
    query: str,
    count: int,
    filter_list: Optional[list[str]] = None,
+    referer: Optional[str] = None,
 ) -> list[SearchResult]:
    """Search using Google's Programmable Search Engine API and return the results as a list of SearchResult objects.
    Handles pagination for counts greater than 10.
@@ -30,7 +31,11 @@ def search_google_pse(
        list[SearchResult]: A list of SearchResult objects.
    """
    url = "https://www.googleapis.com/customsearch/v1"
+
    headers = {"Content-Type": "application/json"}
+    if referer:
+        headers["Referer"] = referer
+
    all_results = []
    start_index = 1  # Google PSE start parameter is 1-based

@@ -0,0 +1,51 @@
+import logging
+from dataclasses import dataclass
+from typing import Optional
+
+import requests
+from open_webui.env import SRC_LOG_LEVELS
+from open_webui.retrieval.web.main import SearchResult
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_ollama_cloud(
+    url: str,
+    api_key: str,
+    query: str,
+    count: int,
+    filter_list: Optional[list[str]] = None,
+) -> list[SearchResult]:
+    """Search using Ollama Search API and return the results as a list of SearchResult objects.
+
+    Args:
+        api_key (str): A Ollama Search API key
+        query (str): The query to search for
+        count (int): Number of results to return
+        filter_list (Optional[list[str]]): List of domains to filter results by
+    """
+    log.info(f"Searching with Ollama for query: {query}")
+
+    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
+    payload = {"query": query, "max_results": count}
+
+    try:
+        response = requests.post(f"{url}/api/web_search", headers=headers, json=payload)
+        response.raise_for_status()
+        data = response.json()
+
+        results = data.get("results", [])
+        log.info(f"Found {len(results)} results")
+
+        return [
+            SearchResult(
+                link=result.get("url", ""),
+                title=result.get("title", ""),
+                snippet=result.get("content", ""),
+            )
+            for result in results
+        ]
+    except Exception as e:
+        log.error(f"Error searching Ollama: {e}")
+        return []
@@ -0,0 +1,64 @@
+import logging
+from typing import Optional, Literal
+import requests
+
+from open_webui.retrieval.web.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_perplexity_search(
+    api_key: str,
+    query: str,
+    count: int,
+    filter_list: Optional[list[str]] = None,
+) -> list[SearchResult]:
+    """Search using Perplexity API and return the results as a list of SearchResult objects.
+
+    Args:
+      api_key (str): A Perplexity API key
+      query (str): The query to search for
+      count (int): Maximum number of results to return
+      filter_list (Optional[list[str]]): List of domains to filter results
+
+    """
+
+    # Handle PersistentConfig object
+    if hasattr(api_key, "__str__"):
+        api_key = str(api_key)
+
+    try:
+        url = "https://api.perplexity.ai/search"
+
+        # Create payload for the API call
+        payload = {
+            "query": query,
+            "max_results": count,
+        }
+
+        headers = {
+            "Authorization": f"Bearer {api_key}",
+            "Content-Type": "application/json",
+        }
+
+        # Make the API request
+        response = requests.request("POST", url, json=payload, headers=headers)
+        # Parse the JSON response
+        json_response = response.json()
+
+        # Extract citations from the response
+        results = json_response.get("results", [])
+
+        return [
+            SearchResult(
+                link=result["url"], title=result["title"], snippet=result["snippet"]
+            )
+            for result in results
+        ]
+
+    except Exception as e:
+        log.error(f"Error searching with Perplexity Search API: {e}")
+        return []
@@ -4,7 +4,6 @@ import socket
 import ssl
 import urllib.parse
 import urllib.request
-from collections import defaultdict
 from datetime import datetime, time, timedelta
 from typing import (
    Any,
@@ -17,11 +16,12 @@ from typing import (
    Union,
    Literal,
 )
+
+from fastapi.concurrency import run_in_threadpool
 import aiohttp
 import certifi
 import validators
 from langchain_community.document_loaders import PlaywrightURLLoader, WebBaseLoader
-from langchain_community.document_loaders.firecrawl import FireCrawlLoader
 from langchain_community.document_loaders.base import BaseLoader
 from langchain_core.documents import Document
 from open_webui.retrieval.loaders.tavily import TavilyLoader
@@ -39,7 +39,8 @@ from open_webui.config import (
    EXTERNAL_WEB_LOADER_URL,
    EXTERNAL_WEB_LOADER_API_KEY,
 )
-from open_webui.env import SRC_LOG_LEVELS, AIOHTTP_CLIENT_SESSION_SSL
+from open_webui.env import SRC_LOG_LEVELS
+

 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["RAG"])
@@ -75,7 +76,8 @@ def safe_validate_urls(url: Sequence[str]) -> Sequence[str]:
        try:
            if validate_url(u):
                valid_urls.append(u)
-        except ValueError:
+        except Exception as e:
+            log.debug(f"Invalid URL {u}: {str(e)}")
            continue
    return valid_urls

@@ -141,13 +143,13 @@ class RateLimitMixin:


 class URLProcessingMixin:
-    def _verify_ssl_cert(self, url: str) -> bool:
+    async def _verify_ssl_cert(self, url: str) -> bool:
        """Verify SSL certificate for a URL."""
-        return verify_ssl_cert(url)
+        return await run_in_threadpool(verify_ssl_cert, url)

    async def _safe_process_url(self, url: str) -> bool:
        """Perform safety checks before processing a URL."""
-        if self.verify_ssl and not self._verify_ssl_cert(url):
+        if self.verify_ssl and not await self._verify_ssl_cert(url):
            raise ValueError(f"SSL certificate verification failed for {url}")
        await self._wait_for_rate_limit()
        return True
@@ -188,13 +190,12 @@ class SafeFireCrawlLoader(BaseLoader, RateLimitMixin, URLProcessingMixin):
                (uses FIRE_CRAWL_API_KEY environment variable if not provided).
            api_url: Base URL for FireCrawl API. Defaults to official API endpoint.
            mode: Operation mode selection:
-                - 'crawl': Website crawling mode (default)
-                - 'scrape': Direct page scraping
+                - 'crawl': Website crawling mode
+                - 'scrape': Direct page scraping (default)
                - 'map': Site map generation
            proxy: Proxy override settings for the FireCrawl API.
            params: The parameters to pass to the Firecrawl API.
-                Examples include crawlerOptions.
-                For more details, visit: https://github.com/mendableai/firecrawl-py
+                For more details, visit: https://docs.firecrawl.dev/sdks/python#batch-scrape
        """
        proxy_server = proxy.get("server") if proxy else None
        if trust_env and not proxy_server:
@@ -214,50 +215,88 @@ class SafeFireCrawlLoader(BaseLoader, RateLimitMixin, URLProcessingMixin):
        self.api_key = api_key
        self.api_url = api_url
        self.mode = mode
-        self.params = params
+        self.params = params or {}

    def lazy_load(self) -> Iterator[Document]:
-        """Load documents concurrently using FireCrawl."""
-        for url in self.web_paths:
-            try:
-                self._safe_process_url_sync(url)
-                loader = FireCrawlLoader(
-                    url=url,
-                    api_key=self.api_key,
-                    api_url=self.api_url,
-                    mode=self.mode,
-                    params=self.params,
+        """Load documents using FireCrawl batch_scrape."""
+        log.debug(
+            "Starting FireCrawl batch scrape for %d URLs, mode: %s, params: %s",
+            len(self.web_paths),
+            self.mode,
+            self.params,
+        )
+        try:
+            from firecrawl import FirecrawlApp
+
+            firecrawl = FirecrawlApp(api_key=self.api_key, api_url=self.api_url)
+            result = firecrawl.batch_scrape(
+                self.web_paths,
+                formats=["markdown"],
+                skip_tls_verification=not self.verify_ssl,
+                ignore_invalid_urls=True,
+                remove_base64_images=True,
+                max_age=300000,  # 5 minutes https://docs.firecrawl.dev/features/fast-scraping#common-maxage-values
+                wait_timeout=len(self.web_paths) * 3,
+                **self.params,
+            )
+
+            if result.status != "completed":
+                raise RuntimeError(
+                    f"FireCrawl batch scrape did not complete successfully. result: {result}"
                )
-                for document in loader.lazy_load():
-                    if not document.metadata.get("source"):
-                        document.metadata["source"] = document.metadata.get("sourceURL")
-                    yield document
-            except Exception as e:
-                if self.continue_on_failure:
-                    log.exception(f"Error loading {url}: {e}")
-                    continue
+
+            for data in result.data:
+                metadata = data.metadata or {}
+                yield Document(
+                    page_content=data.markdown or "",
+                    metadata={"source": metadata.url or metadata.source_url or ""},
+                )
+
+        except Exception as e:
+            if self.continue_on_failure:
+                log.exception(f"Error extracting content from URLs: {e}")
+            else:
                raise e

    async def alazy_load(self):
        """Async version of lazy_load."""
-        for url in self.web_paths:
-            try:
-                await self._safe_process_url(url)
-                loader = FireCrawlLoader(
-                    url=url,
-                    api_key=self.api_key,
-                    api_url=self.api_url,
-                    mode=self.mode,
-                    params=self.params,
+        log.debug(
+            "Starting FireCrawl batch scrape for %d URLs, mode: %s, params: %s",
+            len(self.web_paths),
+            self.mode,
+            self.params,
+        )
+        try:
+            from firecrawl import FirecrawlApp
+
+            firecrawl = FirecrawlApp(api_key=self.api_key, api_url=self.api_url)
+            result = firecrawl.batch_scrape(
+                self.web_paths,
+                formats=["markdown"],
+                skip_tls_verification=not self.verify_ssl,
+                ignore_invalid_urls=True,
+                remove_base64_images=True,
+                max_age=300000,  # 5 minutes https://docs.firecrawl.dev/features/fast-scraping#common-maxage-values
+                wait_timeout=len(self.web_paths) * 3,
+                **self.params,
+            )
+
+            if result.status != "completed":
+                raise RuntimeError(
+                    f"FireCrawl batch scrape did not complete successfully. result: {result}"
                )
-                async for document in loader.alazy_load():
-                    if not document.metadata.get("source"):
-                        document.metadata["source"] = document.metadata.get("sourceURL")
-                    yield document
-            except Exception as e:
-                if self.continue_on_failure:
-                    log.exception(f"Error loading {url}: {e}")
-                    continue
+
+            for data in result.data:
+                metadata = data.metadata or {}
+                yield Document(
+                    page_content=data.markdown or "",
+                    metadata={"source": metadata.url or metadata.source_url or ""},
+                )
+
+        except Exception as e:
+            if self.continue_on_failure:
+                log.exception(f"Error extracting content from URLs: {e}")
+            else:
                raise e


@@ -517,6 +556,7 @@ class SafeWebBaseLoader(WebBaseLoader):
                    async with session.get(
                        url,
                        **(self.requests_kwargs | kwargs),
+                        allow_redirects=False,
                    ) as response:
                        if self.raise_for_status:
                            response.raise_for_status()
@@ -614,7 +654,7 @@ def get_web_loader(
        WebLoaderClass = SafeWebBaseLoader
    if WEB_LOADER_ENGINE.value == "playwright":
        WebLoaderClass = SafePlaywrightURLLoader
-        web_loader_args["playwright_timeout"] = PLAYWRIGHT_TIMEOUT.value * 1000
+        web_loader_args["playwright_timeout"] = PLAYWRIGHT_TIMEOUT.value
        if PLAYWRIGHT_WS_URL.value:
            web_loader_args["playwright_ws_url"] = PLAYWRIGHT_WS_URL.value

@@ -3,8 +3,9 @@ import json
 import logging
 import os
 import uuid
+import html
+import base64
 from functools import lru_cache
-from pathlib import Path
 from pydub import AudioSegment
 from pydub.silence import split_on_silence
 from concurrent.futures import ThreadPoolExecutor
@@ -15,7 +16,7 @@ import aiohttp
 import aiofiles
 import requests
 import mimetypes
-from urllib.parse import quote
+from urllib.parse import urljoin, quote

 from fastapi import (
    Depends,
@@ -39,13 +40,14 @@ from open_webui.config import (
    WHISPER_MODEL_DIR,
    CACHE_DIR,
    WHISPER_LANGUAGE,
+    ELEVENLABS_API_BASE_URL,
 )

 from open_webui.constants import ERROR_MESSAGES
 from open_webui.env import (
+    ENV,
    AIOHTTP_CLIENT_SESSION_SSL,
    AIOHTTP_CLIENT_TIMEOUT,
-    ENV,
    SRC_LOG_LEVELS,
    DEVICE_TYPE,
    ENABLE_FORWARD_USER_INFO_HEADERS,
@@ -154,6 +156,7 @@ def set_faster_whisper_model(model: str, auto_update: bool = False):
 class TTSConfigForm(BaseModel):
    OPENAI_API_BASE_URL: str
    OPENAI_API_KEY: str
+    OPENAI_PARAMS: Optional[dict] = None
    API_KEY: str
    ENGINE: str
    MODEL: str
@@ -177,6 +180,9 @@ class STTConfigForm(BaseModel):
    AZURE_LOCALES: str
    AZURE_BASE_URL: str
    AZURE_MAX_SPEAKERS: str
+    MISTRAL_API_KEY: str
+    MISTRAL_API_BASE_URL: str
+    MISTRAL_USE_CHAT_COMPLETIONS: bool


 class AudioConfigUpdateForm(BaseModel):
@@ -190,6 +196,7 @@ async def get_audio_config(request: Request, user=Depends(get_admin_user)):
        "tts": {
            "OPENAI_API_BASE_URL": request.app.state.config.TTS_OPENAI_API_BASE_URL,
            "OPENAI_API_KEY": request.app.state.config.TTS_OPENAI_API_KEY,
+            "OPENAI_PARAMS": request.app.state.config.TTS_OPENAI_PARAMS,
            "API_KEY": request.app.state.config.TTS_API_KEY,
            "ENGINE": request.app.state.config.TTS_ENGINE,
            "MODEL": request.app.state.config.TTS_MODEL,
@@ -212,6 +219,9 @@ async def get_audio_config(request: Request, user=Depends(get_admin_user)):
            "AZURE_LOCALES": request.app.state.config.AUDIO_STT_AZURE_LOCALES,
            "AZURE_BASE_URL": request.app.state.config.AUDIO_STT_AZURE_BASE_URL,
            "AZURE_MAX_SPEAKERS": request.app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS,
+            "MISTRAL_API_KEY": request.app.state.config.AUDIO_STT_MISTRAL_API_KEY,
+            "MISTRAL_API_BASE_URL": request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL,
+            "MISTRAL_USE_CHAT_COMPLETIONS": request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS,
        },
    }

@@ -222,6 +232,7 @@ async def update_audio_config(
 ):
    request.app.state.config.TTS_OPENAI_API_BASE_URL = form_data.tts.OPENAI_API_BASE_URL
    request.app.state.config.TTS_OPENAI_API_KEY = form_data.tts.OPENAI_API_KEY
+    request.app.state.config.TTS_OPENAI_PARAMS = form_data.tts.OPENAI_PARAMS
    request.app.state.config.TTS_API_KEY = form_data.tts.API_KEY
    request.app.state.config.TTS_ENGINE = form_data.tts.ENGINE
    request.app.state.config.TTS_MODEL = form_data.tts.MODEL
@@ -252,6 +263,13 @@ async def update_audio_config(
    request.app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS = (
        form_data.stt.AZURE_MAX_SPEAKERS
    )
+    request.app.state.config.AUDIO_STT_MISTRAL_API_KEY = form_data.stt.MISTRAL_API_KEY
+    request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL = (
+        form_data.stt.MISTRAL_API_BASE_URL
+    )
+    request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS = (
+        form_data.stt.MISTRAL_USE_CHAT_COMPLETIONS
+    )

    if request.app.state.config.STT_ENGINE == "":
        request.app.state.faster_whisper_model = set_faster_whisper_model(
@@ -262,12 +280,13 @@ async def update_audio_config(

    return {
        "tts": {
-            "OPENAI_API_BASE_URL": request.app.state.config.TTS_OPENAI_API_BASE_URL,
-            "OPENAI_API_KEY": request.app.state.config.TTS_OPENAI_API_KEY,
-            "API_KEY": request.app.state.config.TTS_API_KEY,
            "ENGINE": request.app.state.config.TTS_ENGINE,
            "MODEL": request.app.state.config.TTS_MODEL,
            "VOICE": request.app.state.config.TTS_VOICE,
+            "OPENAI_API_BASE_URL": request.app.state.config.TTS_OPENAI_API_BASE_URL,
+            "OPENAI_API_KEY": request.app.state.config.TTS_OPENAI_API_KEY,
+            "OPENAI_PARAMS": request.app.state.config.TTS_OPENAI_PARAMS,
+            "API_KEY": request.app.state.config.TTS_API_KEY,
            "SPLIT_ON": request.app.state.config.TTS_SPLIT_ON,
            "AZURE_SPEECH_REGION": request.app.state.config.TTS_AZURE_SPEECH_REGION,
            "AZURE_SPEECH_BASE_URL": request.app.state.config.TTS_AZURE_SPEECH_BASE_URL,
@@ -286,6 +305,9 @@ async def update_audio_config(
            "AZURE_LOCALES": request.app.state.config.AUDIO_STT_AZURE_LOCALES,
            "AZURE_BASE_URL": request.app.state.config.AUDIO_STT_AZURE_BASE_URL,
            "AZURE_MAX_SPEAKERS": request.app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS,
+            "MISTRAL_API_KEY": request.app.state.config.AUDIO_STT_MISTRAL_API_KEY,
+            "MISTRAL_API_BASE_URL": request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL,
+            "MISTRAL_USE_CHAT_COMPLETIONS": request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS,
        },
    }

@@ -337,6 +359,11 @@ async def speech(request: Request, user=Depends(get_verified_user)):
            async with aiohttp.ClientSession(
                timeout=timeout, trust_env=True
            ) as session:
+                payload = {
+                    **payload,
+                    **(request.app.state.config.TTS_OPENAI_PARAMS or {}),
+                }
+
                r = await session.post(
                    url=f"{request.app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech",
                    json=payload,
@@ -404,7 +431,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
                timeout=timeout, trust_env=True
            ) as session:
                async with session.post(
-                    f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}",
+                    f"{ELEVENLABS_API_BASE_URL}/v1/text-to-speech/{voice_id}",
                    json={
                        "text": payload["input"],
                        "model_id": request.app.state.config.TTS_MODEL,
@@ -459,7 +486,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):

        try:
            data = f"""<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis" xml:lang="{locale}">
-                <voice name="{language}">{payload["input"]}</voice>
+                <voice name="{language}">{html.escape(payload["input"])}</voice>
            </speak>"""
            timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
            async with aiohttp.ClientSession(
@@ -551,7 +578,7 @@ def transcription_handler(request, file_path, metadata):
    metadata = metadata or {}

    languages = [
-        metadata.get("language", None) if WHISPER_LANGUAGE == "" else WHISPER_LANGUAGE,
+        metadata.get("language", None) if not WHISPER_LANGUAGE else WHISPER_LANGUAGE,
        None,  # Always fallback to None in case transcription fails
    ]

@@ -819,6 +846,186 @@ def transcription_handler(request, file_path, metadata):
                detail=detail if detail else "Open WebUI: Server Connection Error",
            )

+    elif request.app.state.config.STT_ENGINE == "mistral":
+        # Check file exists
+        if not os.path.exists(file_path):
+            raise HTTPException(status_code=400, detail="Audio file not found")
+
+        # Check file size
+        file_size = os.path.getsize(file_path)
+        if file_size > MAX_FILE_SIZE:
+            raise HTTPException(
+                status_code=400,
+                detail=f"File size exceeds limit of {MAX_FILE_SIZE_MB}MB",
+            )
+
+        api_key = request.app.state.config.AUDIO_STT_MISTRAL_API_KEY
+        api_base_url = (
+            request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL
+            or "https://api.mistral.ai/v1"
+        )
+        use_chat_completions = (
+            request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS
+        )
+
+        if not api_key:
+            raise HTTPException(
+                status_code=400,
+                detail="Mistral API key is required for Mistral STT",
+            )
+
+        r = None
+        try:
+            # Use voxtral-mini-latest as the default model for transcription
+            model = request.app.state.config.STT_MODEL or "voxtral-mini-latest"
+
+            log.info(
+                f"Mistral STT - model: {model}, "
+                f"method: {'chat_completions' if use_chat_completions else 'transcriptions'}"
+            )
+
+            if use_chat_completions:
+                # Use chat completions API with audio input
+                # This method requires mp3 or wav format
+                audio_file_to_use = file_path
+
+                if is_audio_conversion_required(file_path):
+                    log.debug("Converting audio to mp3 for chat completions API")
+                    converted_path = convert_audio_to_mp3(file_path)
+                    if converted_path:
+                        audio_file_to_use = converted_path
+                    else:
+                        log.error("Audio conversion failed")
+                        raise HTTPException(
+                            status_code=500,
+                            detail="Audio conversion failed. Chat completions API requires mp3 or wav format.",
+                        )
+
+                # Read and encode audio file as base64
+                with open(audio_file_to_use, "rb") as audio_file:
+                    audio_base64 = base64.b64encode(audio_file.read()).decode("utf-8")
+
+                # Prepare chat completions request
+                url = f"{api_base_url}/chat/completions"
+
+                # Add language instruction if specified
+                language = metadata.get("language", None) if metadata else None
+                if language:
+                    text_instruction = f"Transcribe this audio exactly as spoken in {language}. Do not translate it."
+                else:
+                    text_instruction = "Transcribe this audio exactly as spoken in its original language. Do not translate it to another language."
+
+                payload = {
+                    "model": model,
+                    "messages": [
+                        {
+                            "role": "user",
+                            "content": [
+                                {
+                                    "type": "input_audio",
+                                    "input_audio": audio_base64,
+                                },
+                                {"type": "text", "text": text_instruction},
+                            ],
+                        }
+                    ],
+                }
+
+                r = requests.post(
+                    url=url,
+                    json=payload,
+                    headers={
+                        "Authorization": f"Bearer {api_key}",
+                        "Content-Type": "application/json",
+                    },
+                )
+
+                r.raise_for_status()
+                response = r.json()
+
+                # Extract transcript from chat completion response
+                transcript = (
+                    response.get("choices", [{}])[0]
+                    .get("message", {})
+                    .get("content", "")
+                    .strip()
+                )
+                if not transcript:
+                    raise ValueError("Empty transcript in response")
+
+                data = {"text": transcript}
+
+            else:
+                # Use dedicated transcriptions API
+                url = f"{api_base_url}/audio/transcriptions"
+
+                # Determine the MIME type
+                mime_type, _ = mimetypes.guess_type(file_path)
+                if not mime_type:
+                    mime_type = "audio/webm"
+
+                # Use context manager to ensure file is properly closed
+                with open(file_path, "rb") as audio_file:
+                    files = {"file": (filename, audio_file, mime_type)}
+                    data_form = {"model": model}
+
+                    # Add language if specified in metadata
+                    language = metadata.get("language", None) if metadata else None
+                    if language:
+                        data_form["language"] = language
+
+                    r = requests.post(
+                        url=url,
+                        files=files,
+                        data=data_form,
+                        headers={
+                            "Authorization": f"Bearer {api_key}",
+                        },
+                    )
+
+                r.raise_for_status()
+                response = r.json()
+
+                # Extract transcript from response
+                transcript = response.get("text", "").strip()
+                if not transcript:
+                    raise ValueError("Empty transcript in response")
+
+                data = {"text": transcript}
+
+            # Save transcript to json file (consistent with other providers)
+            transcript_file = f"{file_dir}/{id}.json"
+            with open(transcript_file, "w") as f:
+                json.dump(data, f)
+
+            log.debug(data)
+            return data
+
+        except ValueError as e:
+            log.exception("Error parsing Mistral response")
+            raise HTTPException(
+                status_code=500,
+                detail=f"Failed to parse Mistral response: {str(e)}",
+            )
+        except requests.exceptions.RequestException as e:
+            log.exception(e)
+            detail = None
+
+            try:
+                if r is not None and r.status_code != 200:
+                    res = r.json()
+                    if "error" in res:
+                        detail = f"External: {res['error'].get('message', '')}"
+                    else:
+                        detail = f"External: {r.text}"
+            except Exception:
+                detail = f"External: {e}"
+
+            raise HTTPException(
+                status_code=getattr(r, "status_code", 500) if r else 500,
+                detail=detail if detail else "Open WebUI: Server Connection Error",
+            )
+

 def transcribe(request: Request, file_path: str, metadata: Optional[dict] = None):
    log.info(f"transcribe: {file_path} {metadata}")
@@ -1028,7 +1235,7 @@ def get_available_models(request: Request) -> list[dict]:
    elif request.app.state.config.TTS_ENGINE == "elevenlabs":
        try:
            response = requests.get(
-                "https://api.elevenlabs.io/v1/models",
+                f"{ELEVENLABS_API_BASE_URL}/v1/models",
                headers={
                    "xi-api-key": request.app.state.config.TTS_API_KEY,
                    "Content-Type": "application/json",
@@ -1132,7 +1339,7 @@ def get_elevenlabs_voices(api_key: str) -> dict:
    try:
        # TODO: Add retries
        response = requests.get(
-            "https://api.elevenlabs.io/v1/voices",
+            f"{ELEVENLABS_API_BASE_URL}/v1/voices",
            headers={
                "xi-api-key": api_key,
                "Content-Type": "application/json",
@@ -19,6 +19,7 @@ from open_webui.models.auths import (
 )
 from open_webui.models.users import Users, UpdateProfileForm
 from open_webui.models.groups import Groups
+from open_webui.models.oauth_sessions import OAuthSessions

 from open_webui.constants import ERROR_MESSAGES, WEBHOOK_MESSAGES
 from open_webui.env import (
@@ -29,6 +30,7 @@ from open_webui.env import (
    WEBUI_AUTH_COOKIE_SAME_SITE,
    WEBUI_AUTH_COOKIE_SECURE,
    WEBUI_AUTH_SIGNOUT_REDIRECT_URL,
+    ENABLE_INITIAL_ADMIN_SIGNUP,
    SRC_LOG_LEVELS,
 )
 from fastapi import APIRouter, Depends, HTTPException, Request, status
@@ -506,6 +508,15 @@ async def signin(request: Request, response: Response, form_data: SigninForm):

            user = Auths.authenticate_user(admin_email.lower(), admin_password)
    else:
+        password_bytes = form_data.password.encode("utf-8")
+        if len(password_bytes) > 72:
+            # TODO: Implement other hashing algorithms that support longer passwords
+            log.info("Password too long, truncating to 72 bytes for bcrypt")
+            password_bytes = password_bytes[:72]
+
+            # decode safely — ignore incomplete UTF-8 sequences
+            form_data.password = password_bytes.decode("utf-8", errors="ignore")
+
        user = Auths.authenticate_user(form_data.email.lower(), form_data.password)

    if user:
@@ -569,9 +580,10 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
            not request.app.state.config.ENABLE_SIGNUP
            or not request.app.state.config.ENABLE_LOGIN_FORM
        ):
-            raise HTTPException(
-                status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED
-            )
+            if has_users or not ENABLE_INITIAL_ADMIN_SIGNUP:
+                raise HTTPException(
+                    status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED
+                )
    else:
        if has_users:
            raise HTTPException(
@@ -674,19 +686,29 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
 async def signout(request: Request, response: Response):
    response.delete_cookie("token")
    response.delete_cookie("oui-session")
+    response.delete_cookie("oauth_id_token")

-    if ENABLE_OAUTH_SIGNUP.value:
-        oauth_id_token = request.cookies.get("oauth_id_token")
-        if oauth_id_token and OPENID_PROVIDER_URL.value:
+    oauth_session_id = request.cookies.get("oauth_session_id")
+    if oauth_session_id:
+        response.delete_cookie("oauth_session_id")
+
+        session = OAuthSessions.get_session_by_id(oauth_session_id)
+        oauth_server_metadata_url = (
+            request.app.state.oauth_manager.get_server_metadata_url(session.provider)
+            if session
+            else None
+        ) or OPENID_PROVIDER_URL.value
+
+        if session and oauth_server_metadata_url:
+            oauth_id_token = session.token.get("id_token")
            try:
                async with ClientSession(trust_env=True) as session:
-                    async with session.get(OPENID_PROVIDER_URL.value) as resp:
-                        if resp.status == 200:
-                            openid_data = await resp.json()
+                    async with session.get(oauth_server_metadata_url) as r:
+                        if r.status == 200:
+                            openid_data = await r.json()
                            logout_url = openid_data.get("end_session_endpoint")
-                            if logout_url:
-                                response.delete_cookie("oauth_id_token")

+                            if logout_url:
                                return JSONResponse(
                                    status_code=200,
                                    content={
@@ -701,15 +723,14 @@ async def signout(request: Request, response: Response):
                                    headers=response.headers,
                                )
                        else:
-                            raise HTTPException(
-                                status_code=resp.status,
-                                detail="Failed to fetch OpenID configuration",
-                            )
+                            raise Exception("Failed to fetch OpenID configuration")
+
            except Exception as e:
                log.error(f"OpenID signout error: {str(e)}")
                raise HTTPException(
                    status_code=500,
                    detail="Failed to sign out from the OpenID provider.",
+                    headers=response.headers,
                )

    if WEBUI_AUTH_SIGNOUT_REDIRECT_URL:
@@ -10,7 +10,13 @@ from pydantic import BaseModel
 from open_webui.socket.main import sio, get_user_ids_from_room
 from open_webui.models.users import Users, UserNameResponse

-from open_webui.models.channels import Channels, ChannelModel, ChannelForm
+from open_webui.models.groups import Groups
+from open_webui.models.channels import (
+    Channels,
+    ChannelModel,
+    ChannelForm,
+    ChannelResponse,
+)
 from open_webui.models.messages import (
    Messages,
    MessageModel,
@@ -24,9 +30,17 @@ from open_webui.constants import ERROR_MESSAGES
 from open_webui.env import SRC_LOG_LEVELS


+from open_webui.utils.models import (
+    get_all_models,
+    get_filtered_models,
+)
+from open_webui.utils.chat import generate_chat_completion
+
+
 from open_webui.utils.auth import get_admin_user, get_verified_user
 from open_webui.utils.access_control import has_access, get_users_with_access
 from open_webui.utils.webhook import post_webhook
+from open_webui.utils.channels import extract_mentions, replace_mentions

 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["MODELS"])
@@ -72,7 +86,7 @@ async def create_new_channel(form_data: ChannelForm, user=Depends(get_admin_user
 ############################


-@router.get("/{id}", response_model=Optional[ChannelModel])
+@router.get("/{id}", response_model=Optional[ChannelResponse])
 async def get_channel_by_id(id: str, user=Depends(get_verified_user)):
    channel = Channels.get_channel_by_id(id)
    if not channel:
@@ -87,7 +101,16 @@ async def get_channel_by_id(id: str, user=Depends(get_verified_user)):
            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
        )

-    return ChannelModel(**channel.model_dump())
+    write_access = has_access(
+        user.id, type="write", access_control=channel.access_control, strict=False
+    )
+
+    return ChannelResponse(
+        **{
+            **channel.model_dump(),
+            "write_access": write_access or user.role == "admin",
+        }
+    )


 ############################
@@ -144,7 +167,7 @@ async def delete_channel_by_id(id: str, user=Depends(get_admin_user)):


 class MessageUserResponse(MessageResponse):
-    user: UserNameResponse
+    pass


@router.get("/{id}/messages", response_model=list[MessageUserResponse])
@@ -173,15 +196,17 @@ async def get_channel_messages(
            user = Users.get_user_by_id(message.user_id)
            users[message.user_id] = user

-        replies = Messages.get_replies_by_message_id(message.id)
-        latest_reply_at = replies[0].created_at if replies else None
+        thread_replies = Messages.get_thread_replies_by_message_id(message.id)
+        latest_thread_reply_at = (
+            thread_replies[0].created_at if thread_replies else None
+        )

        messages.append(
            MessageUserResponse(
                **{
                    **message.model_dump(),
-                    "reply_count": len(replies),
-                    "latest_reply_at": latest_reply_at,
+                    "reply_count": len(thread_replies),
+                    "latest_reply_at": latest_thread_reply_at,
                    "reactions": Messages.get_reactions_by_message_id(message.id),
                    "user": UserNameResponse(**users[message.user_id].model_dump()),
                }
@@ -200,14 +225,11 @@ async def send_notification(name, webui_url, channel, message, active_user_ids):
    users = get_users_with_access("read", channel.access_control)

    for user in users:
-        if user.id in active_user_ids:
-            continue
-        else:
+        if user.id not in active_user_ids:
            if user.settings:
                webhook_url = user.settings.ui.get("notifications", {}).get(
                    "webhook_url", None
                )
-
                if webhook_url:
                    await post_webhook(
                        name,
@@ -221,14 +243,185 @@ async def send_notification(name, webui_url, channel, message, active_user_ids):
                        },
                    )

+    return True

-@router.post("/{id}/messages/post", response_model=Optional[MessageModel])
-async def post_new_message(
-    request: Request,
-    id: str,
-    form_data: MessageForm,
-    background_tasks: BackgroundTasks,
-    user=Depends(get_verified_user),
+
+async def model_response_handler(request, channel, message, user):
+    MODELS = {
+        model["id"]: model
+        for model in get_filtered_models(await get_all_models(request, user=user), user)
+    }
+
+    mentions = extract_mentions(message.content)
+    message_content = replace_mentions(message.content)
+
+    model_mentions = {}
+
+    # check if the message is a reply to a message sent by a model
+    if (
+        message.reply_to_message
+        and message.reply_to_message.meta
+        and message.reply_to_message.meta.get("model_id", None)
+    ):
+        model_id = message.reply_to_message.meta.get("model_id", None)
+        model_mentions[model_id] = {"id": model_id, "id_type": "M"}
+
+    # check if any of the mentions are models
+    for mention in mentions:
+        if mention["id_type"] == "M" and mention["id"] not in model_mentions:
+            model_mentions[mention["id"]] = mention
+
+    if not model_mentions:
+        return False
+
+    for mention in model_mentions.values():
+        model_id = mention["id"]
+        model = MODELS.get(model_id, None)
+
+        if model:
+            try:
+                # reverse to get in chronological order
+                thread_messages = Messages.get_messages_by_parent_id(
+                    channel.id,
+                    message.parent_id if message.parent_id else message.id,
+                )[::-1]
+
+                response_message, channel = await new_message_handler(
+                    request,
+                    channel.id,
+                    MessageForm(
+                        **{
+                            "parent_id": (
+                                message.parent_id if message.parent_id else message.id
+                            ),
+                            "content": f"",
+                            "data": {},
+                            "meta": {
+                                "model_id": model_id,
+                                "model_name": model.get("name", model_id),
+                            },
+                        }
+                    ),
+                    user,
+                )
+
+                thread_history = []
+                images = []
+                message_users = {}
+
+                for thread_message in thread_messages:
+                    message_user = None
+                    if thread_message.user_id not in message_users:
+                        message_user = Users.get_user_by_id(thread_message.user_id)
+                        message_users[thread_message.user_id] = message_user
+                    else:
+                        message_user = message_users[thread_message.user_id]
+
+                    if thread_message.meta and thread_message.meta.get(
+                        "model_id", None
+                    ):
+                        # If the message was sent by a model, use the model name
+                        message_model_id = thread_message.meta.get("model_id", None)
+                        message_model = MODELS.get(message_model_id, None)
+                        username = (
+                            message_model.get("name", message_model_id)
+                            if message_model
+                            else message_model_id
+                        )
+                    else:
+                        username = message_user.name if message_user else "Unknown"
+
+                    thread_history.append(
+                        f"{username}: {replace_mentions(thread_message.content)}"
+                    )
+
+                    thread_message_files = thread_message.data.get("files", [])
+                    for file in thread_message_files:
+                        if file.get("type", "") == "image":
+                            images.append(file.get("url", ""))
+
+                thread_history_string = "\n\n".join(thread_history)
+                system_message = {
+                    "role": "system",
+                    "content": f"You are {model.get('name', model_id)}, participating in a threaded conversation. Be concise and conversational."
+                    + (
+                        f"Here's the thread history:\n\n\n{thread_history_string}\n\n\nContinue the conversation naturally as {model.get('name', model_id)}, addressing the most recent message while being aware of the full context."
+                        if thread_history
+                        else ""
+                    ),
+                }
+
+                content = f"{user.name if user else 'User'}: {message_content}"
+                if images:
+                    content = [
+                        {
+                            "type": "text",
+                            "text": content,
+                        },
+                        *[
+                            {
+                                "type": "image_url",
+                                "image_url": {
+                                    "url": image,
+                                },
+                            }
+                            for image in images
+                        ],
+                    ]
+
+                form_data = {
+                    "model": model_id,
+                    "messages": [
+                        system_message,
+                        {"role": "user", "content": content},
+                    ],
+                    "stream": False,
+                }
+
+                res = await generate_chat_completion(
+                    request,
+                    form_data=form_data,
+                    user=user,
+                )
+
+                if res:
+                    if res.get("choices", []) and len(res["choices"]) > 0:
+                        await update_message_by_id(
+                            channel.id,
+                            response_message.id,
+                            MessageForm(
+                                **{
+                                    "content": res["choices"][0]["message"]["content"],
+                                    "meta": {
+                                        "done": True,
+                                    },
+                                }
+                            ),
+                            user,
+                        )
+                    elif res.get("error", None):
+                        await update_message_by_id(
+                            channel.id,
+                            response_message.id,
+                            MessageForm(
+                                **{
+                                    "content": f"Error: {res['error']}",
+                                    "meta": {
+                                        "done": True,
+                                    },
+                                }
+                            ),
+                            user,
+                        )
+            except Exception as e:
+                log.info(e)
+                pass
+
+    return True
+
+
+async def new_message_handler(
+    request: Request, id: str, form_data: MessageForm, user=Depends(get_verified_user)
 ):
    channel = Channels.get_channel_by_id(id)
    if not channel:
@@ -237,7 +430,7 @@ async def post_new_message(
        )

    if user.role != "admin" and not has_access(
-        user.id, type="read", access_control=channel.access_control
+        user.id, type="write", access_control=channel.access_control, strict=False
    ):
        raise HTTPException(
            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
@@ -245,31 +438,21 @@ async def post_new_message(

    try:
        message = Messages.insert_new_message(form_data, channel.id, user.id)
-
        if message:
+            message = Messages.get_message_by_id(message.id)
            event_data = {
                "channel_id": channel.id,
                "message_id": message.id,
                "data": {
                    "type": "message",
-                    "data": MessageUserResponse(
-                        **{
-                            **message.model_dump(),
-                            "reply_count": 0,
-                            "latest_reply_at": None,
-                            "reactions": Messages.get_reactions_by_message_id(
-                                message.id
-                            ),
-                            "user": UserNameResponse(**user.model_dump()),
-                        }
-                    ).model_dump(),
+                    "data": message.model_dump(),
                },
                "user": UserNameResponse(**user.model_dump()).model_dump(),
                "channel": channel.model_dump(),
            }

            await sio.emit(
-                "channel-events",
+                "events:channel",
                event_data,
                to=f"channel:{channel.id}",
            )
@@ -280,33 +463,45 @@ async def post_new_message(

                if parent_message:
                    await sio.emit(
-                        "channel-events",
+                        "events:channel",
                        {
                            "channel_id": channel.id,
                            "message_id": parent_message.id,
                            "data": {
                                "type": "message:reply",
-                                "data": MessageUserResponse(
-                                    **{
-                                        **parent_message.model_dump(),
-                                        "user": UserNameResponse(
-                                            **Users.get_user_by_id(
-                                                parent_message.user_id
-                                            ).model_dump()
-                                        ),
-                                    }
-                                ).model_dump(),
+                                "data": parent_message.model_dump(),
                            },
                            "user": UserNameResponse(**user.model_dump()).model_dump(),
                            "channel": channel.model_dump(),
                        },
                        to=f"channel:{channel.id}",
                    )
+            return message, channel
+        else:
+            raise Exception("Error creating message")
+    except Exception as e:
+        log.exception(e)
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT()
+        )

-            active_user_ids = get_user_ids_from_room(f"channel:{channel.id}")

-            background_tasks.add_task(
-                send_notification,
+@router.post("/{id}/messages/post", response_model=Optional[MessageModel])
+async def post_new_message(
+    request: Request,
+    id: str,
+    form_data: MessageForm,
+    background_tasks: BackgroundTasks,
+    user=Depends(get_verified_user),
+):
+
+    try:
+        message, channel = await new_message_handler(request, id, form_data, user)
+        active_user_ids = get_user_ids_from_room(f"channel:{channel.id}")
+
+        async def background_handler():
+            await model_response_handler(request, channel, message, user)
+            await send_notification(
                request.app.state.WEBUI_NAME,
                request.app.state.config.WEBUI_URL,
                channel,
@@ -314,7 +509,12 @@ async def post_new_message(
                active_user_ids,
            )

-        return MessageModel(**message.model_dump())
+        background_tasks.add_task(background_handler)
+
+        return message
+
+    except HTTPException as e:
+        raise e
    except Exception as e:
        log.exception(e)
        raise HTTPException(
@@ -460,20 +660,13 @@ async def update_message_by_id(

        if message:
            await sio.emit(
-                "channel-events",
+                "events:channel",
                {
                    "channel_id": channel.id,
                    "message_id": message.id,
                    "data": {
                        "type": "message:update",
-                        "data": MessageUserResponse(
-                            **{
-                                **message.model_dump(),
-                                "user": UserNameResponse(
-                                    **user.model_dump()
-                                ).model_dump(),
-                            }
-                        ).model_dump(),
+                        "data": message.model_dump(),
                    },
                    "user": UserNameResponse(**user.model_dump()).model_dump(),
                    "channel": channel.model_dump(),
@@ -509,7 +702,7 @@ async def add_reaction_to_message(
        )

    if user.role != "admin" and not has_access(
-        user.id, type="read", access_control=channel.access_control
+        user.id, type="write", access_control=channel.access_control, strict=False
    ):
        raise HTTPException(
            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
@@ -531,7 +724,7 @@ async def add_reaction_to_message(
        message = Messages.get_message_by_id(message_id)

        await sio.emit(
-            "channel-events",
+            "events:channel",
            {
                "channel_id": channel.id,
                "message_id": message.id,
@@ -539,9 +732,6 @@ async def add_reaction_to_message(
                    "type": "message:reaction:add",
                    "data": {
                        **message.model_dump(),
-                        "user": UserNameResponse(
-                            **Users.get_user_by_id(message.user_id).model_dump()
-                        ).model_dump(),
                        "name": form_data.name,
                    },
                },
@@ -575,7 +765,7 @@ async def remove_reaction_by_id_and_user_id_and_name(
        )

    if user.role != "admin" and not has_access(
-        user.id, type="read", access_control=channel.access_control
+        user.id, type="write", access_control=channel.access_control, strict=False
    ):
        raise HTTPException(
            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
@@ -600,7 +790,7 @@ async def remove_reaction_by_id_and_user_id_and_name(
        message = Messages.get_message_by_id(message_id)

        await sio.emit(
-            "channel-events",
+            "events:channel",
            {
                "channel_id": channel.id,
                "message_id": message.id,
@@ -608,9 +798,6 @@ async def remove_reaction_by_id_and_user_id_and_name(
                    "type": "message:reaction:remove",
                    "data": {
                        **message.model_dump(),
-                        "user": UserNameResponse(
-                            **Users.get_user_by_id(message.user_id).model_dump()
-                        ).model_dump(),
                        "name": form_data.name,
                    },
                },
@@ -657,7 +844,9 @@ async def delete_message_by_id(
    if (
        user.role != "admin"
        and message.user_id != user.id
-        and not has_access(user.id, type="read", access_control=channel.access_control)
+        and not has_access(
+            user.id, type="write", access_control=channel.access_control, strict=False
+        )
    ):
        raise HTTPException(
            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
@@ -666,7 +855,7 @@ async def delete_message_by_id(
    try:
        Messages.delete_message_by_id(message_id)
        await sio.emit(
-            "channel-events",
+            "events:channel",
            {
                "channel_id": channel.id,
                "message_id": message.id,
@@ -689,22 +878,13 @@ async def delete_message_by_id(

            if parent_message:
                await sio.emit(
-                    "channel-events",
+                    "events:channel",
                    {
                        "channel_id": channel.id,
                        "message_id": parent_message.id,
                        "data": {
                            "type": "message:reply",
-                            "data": MessageUserResponse(
-                                **{
-                                    **parent_message.model_dump(),
-                                    "user": UserNameResponse(
-                                        **Users.get_user_by_id(
-                                            parent_message.user_id
-                                        ).model_dump()
-                                    ),
-                                }
-                            ).model_dump(),
+                            "data": parent_message.model_dump(),
                        },
                        "user": UserNameResponse(**user.model_dump()).model_dump(),
                        "channel": channel.model_dump(),
@@ -37,7 +37,10 @@ router = APIRouter()
@router.get("/", response_model=list[ChatTitleIdResponse])
@router.get("/list", response_model=list[ChatTitleIdResponse])
 def get_session_user_chat_list(
-    user=Depends(get_verified_user), page: Optional[int] = None
+    user=Depends(get_verified_user),
+    page: Optional[int] = None,
+    include_pinned: Optional[bool] = False,
+    include_folders: Optional[bool] = False,
 ):
    try:
        if page is not None:
@@ -45,10 +48,16 @@ def get_session_user_chat_list(
            skip = (page - 1) * limit

            return Chats.get_chat_title_id_list_by_user_id(
-                user.id, skip=skip, limit=limit
+                user.id,
+                include_folders=include_folders,
+                include_pinned=include_pinned,
+                skip=skip,
+                limit=limit,
            )
        else:
-            return Chats.get_chat_title_id_list_by_user_id(user.id)
+            return Chats.get_chat_title_id_list_by_user_id(
+                user.id, include_folders=include_folders, include_pinned=include_pinned
+            )
    except Exception as e:
        log.exception(e)
        raise HTTPException(
@@ -166,7 +175,7 @@ async def import_chat(form_data: ChatImportForm, user=Depends(get_verified_user)


@router.get("/search", response_model=list[ChatTitleIdResponse])
-async def search_user_chats(
+def search_user_chats(
    text: str, page: Optional[int] = None, user=Depends(get_verified_user)
 ):
    if page is None:
@@ -214,6 +223,28 @@ async def get_chats_by_folder_id(folder_id: str, user=Depends(get_verified_user)
    ]


+@router.get("/folder/{folder_id}/list")
+async def get_chat_list_by_folder_id(
+    folder_id: str, page: Optional[int] = 1, user=Depends(get_verified_user)
+):
+    try:
+        limit = 60
+        skip = (page - 1) * limit
+
+        return [
+            {"title": chat.title, "id": chat.id, "updated_at": chat.updated_at}
+            for chat in Chats.get_chats_by_folder_id_and_user_id(
+                folder_id, user.id, skip=skip, limit=limit
+            )
+        ]
+
+    except Exception as e:
+        log.exception(e)
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT()
+        )
+
+
 ############################
 # GetPinnedChats
 ############################
@@ -335,6 +366,16 @@ async def archive_all_chats(user=Depends(get_verified_user)):
    return Chats.archive_all_chats_by_user_id(user.id)


+############################
+# UnarchiveAllChats
+############################
+
+
+@router.post("/unarchive/all", response_model=bool)
+async def unarchive_all_chats(user=Depends(get_verified_user)):
+    return Chats.unarchive_all_chats_by_user_id(user.id)
+
+
 ############################
 # GetSharedChatById
 ############################
@@ -1,5 +1,8 @@
+import logging
+import copy
 from fastapi import APIRouter, Depends, Request, HTTPException
 from pydantic import BaseModel, ConfigDict
+import aiohttp

 from typing import Optional

@@ -12,10 +15,25 @@ from open_webui.utils.tools import (
    get_tool_server_url,
    set_tool_servers,
 )
+from open_webui.utils.mcp.client import MCPClient
+from open_webui.models.oauth_sessions import OAuthSessions

+from open_webui.env import SRC_LOG_LEVELS
+
+from open_webui.utils.oauth import (
+    get_discovery_urls,
+    get_oauth_client_info_with_dynamic_client_registration,
+    encrypt_data,
+    decrypt_data,
+    OAuthClientInformationFull,
+)
+from mcp.shared.auth import OAuthMetadata

 router = APIRouter()

+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MAIN"])
+

 ############################
 # ImportConfig
@@ -79,6 +97,43 @@ async def set_connections_config(
    }


+class OAuthClientRegistrationForm(BaseModel):
+    url: str
+    client_id: str
+    client_name: Optional[str] = None
+
+
+@router.post("/oauth/clients/register")
+async def register_oauth_client(
+    request: Request,
+    form_data: OAuthClientRegistrationForm,
+    type: Optional[str] = None,
+    user=Depends(get_admin_user),
+):
+    try:
+        oauth_client_id = form_data.client_id
+        if type:
+            oauth_client_id = f"{type}:{form_data.client_id}"
+
+        oauth_client_info = (
+            await get_oauth_client_info_with_dynamic_client_registration(
+                request, oauth_client_id, form_data.url
+            )
+        )
+        return {
+            "status": True,
+            "oauth_client_info": encrypt_data(
+                oauth_client_info.model_dump(mode="json")
+            ),
+        }
+    except Exception as e:
+        log.debug(f"Failed to register OAuth client: {e}")
+        raise HTTPException(
+            status_code=400,
+            detail=f"Failed to register OAuth client",
+        )
+
+
 ############################
 # ToolServers Config
 ############################
@@ -87,6 +142,7 @@ async def set_connections_config(
 class ToolServerConnection(BaseModel):
    url: str
    path: str
+    type: Optional[str] = "openapi"  # openapi, mcp
    auth_type: Optional[str]
    key: Optional[str]
    config: Optional[dict]
@@ -111,11 +167,48 @@ async def set_tool_servers_config(
    form_data: ToolServersConfigForm,
    user=Depends(get_admin_user),
 ):
+    for connection in request.app.state.config.TOOL_SERVER_CONNECTIONS:
+        server_type = connection.get("type", "openapi")
+        auth_type = connection.get("auth_type", "none")
+
+        if auth_type == "oauth_2.1":
+            # Remove existing OAuth clients for tool servers
+            server_id = connection.get("info", {}).get("id")
+            client_key = f"{server_type}:{server_id}"
+
+            try:
+                request.app.state.oauth_client_manager.remove_client(client_key)
+            except:
+                pass
+
+    # Set new tool server connections
    request.app.state.config.TOOL_SERVER_CONNECTIONS = [
        connection.model_dump() for connection in form_data.TOOL_SERVER_CONNECTIONS
    ]
+
    await set_tool_servers(request)

+    for connection in request.app.state.config.TOOL_SERVER_CONNECTIONS:
+        server_type = connection.get("type", "openapi")
+        if server_type == "mcp":
+            server_id = connection.get("info", {}).get("id")
+            auth_type = connection.get("auth_type", "none")
+
+            if auth_type == "oauth_2.1" and server_id:
+                try:
+                    oauth_client_info = connection.get("info", {}).get(
+                        "oauth_client_info", ""
+                    )
+                    oauth_client_info = decrypt_data(oauth_client_info)
+
+                    request.app.state.oauth_client_manager.add_client(
+                        f"{server_type}:{server_id}",
+                        OAuthClientInformationFull(**oauth_client_info),
+                    )
+                except Exception as e:
+                    log.debug(f"Failed to add OAuth client for MCP tool server: {e}")
+                    continue
+
    return {
        "TOOL_SERVER_CONNECTIONS": request.app.state.config.TOOL_SERVER_CONNECTIONS,
    }
@@ -129,19 +222,106 @@ async def verify_tool_servers_config(
    Verify the connection to the tool server.
    """
    try:
+        if form_data.type == "mcp":
+            if form_data.auth_type == "oauth_2.1":
+                discovery_urls = get_discovery_urls(form_data.url)
+                for discovery_url in discovery_urls:
+                    log.debug(
+                        f"Trying to fetch OAuth 2.1 discovery document from {discovery_url}"
+                    )
+                    async with aiohttp.ClientSession(trust_env=True) as session:
+                        async with session.get(
+                            discovery_url
+                        ) as oauth_server_metadata_response:
+                            if oauth_server_metadata_response.status == 200:
+                                try:
+                                    oauth_server_metadata = (
+                                        OAuthMetadata.model_validate(
+                                            await oauth_server_metadata_response.json()
+                                        )
+                                    )
+                                    return {
+                                        "status": True,
+                                        "oauth_server_metadata": oauth_server_metadata.model_dump(
+                                            mode="json"
+                                        ),
+                                    }
+                                except Exception as e:
+                                    log.info(
+                                        f"Failed to parse OAuth 2.1 discovery document: {e}"
+                                    )
+                                    raise HTTPException(
+                                        status_code=400,
+                                        detail=f"Failed to parse OAuth 2.1 discovery document from {discovery_url}",
+                                    )

-        token = None
-        if form_data.auth_type == "bearer":
-            token = form_data.key
-        elif form_data.auth_type == "session":
-            token = request.state.token.credentials
+                raise HTTPException(
+                    status_code=400,
+                    detail=f"Failed to fetch OAuth 2.1 discovery document from {discovery_urls}",
+                )
+            else:
+                try:
+                    client = MCPClient()
+                    headers = None

-        url = get_tool_server_url(form_data.url, form_data.path)
-        return await get_tool_server_data(token, url)
+                    token = None
+                    if form_data.auth_type == "bearer":
+                        token = form_data.key
+                    elif form_data.auth_type == "session":
+                        token = request.state.token.credentials
+                    elif form_data.auth_type == "system_oauth":
+                        try:
+                            if request.cookies.get("oauth_session_id", None):
+                                token = await request.app.state.oauth_manager.get_oauth_token(
+                                    user.id,
+                                    request.cookies.get("oauth_session_id", None),
+                                )
+                        except Exception as e:
+                            pass
+
+                    if token:
+                        headers = {"Authorization": f"Bearer {token}"}
+
+                    await client.connect(form_data.url, headers=headers)
+                    specs = await client.list_tool_specs()
+                    return {
+                        "status": True,
+                        "specs": specs,
+                    }
+                except Exception as e:
+                    log.debug(f"Failed to create MCP client: {e}")
+                    raise HTTPException(
+                        status_code=400,
+                        detail=f"Failed to create MCP client",
+                    )
+                finally:
+                    if client:
+                        await client.disconnect()
+        else:  # openapi
+            token = None
+            if form_data.auth_type == "bearer":
+                token = form_data.key
+            elif form_data.auth_type == "session":
+                token = request.state.token.credentials
+            elif form_data.auth_type == "system_oauth":
+                try:
+                    if request.cookies.get("oauth_session_id", None):
+                        token = await request.app.state.oauth_manager.get_oauth_token(
+                            user.id,
+                            request.cookies.get("oauth_session_id", None),
+                        )
+                except Exception as e:
+                    pass
+
+            url = get_tool_server_url(form_data.url, form_data.path)
+            return await get_tool_server_data(token, url)
+    except HTTPException as e:
+        raise e
    except Exception as e:
+        log.debug(f"Failed to connect to the tool server: {e}")
        raise HTTPException(
            status_code=400,
-            detail=f"Failed to connect to the tool server: {str(e)}",
+            detail=f"Failed to connect to the tool server",
        )


@@ -115,16 +115,15 @@ def process_uploaded_file(request, file, file_path, file_item, file_metadata, us
                request.app.state.config.CONTENT_EXTRACTION_ENGINE == "external"
            ):
                process_file(request, ProcessFileForm(file_id=file_item.id), user=user)
+            else:
+                raise Exception(
+                    f"File type {file.content_type} is not supported for processing"
+                )
        else:
            log.info(
                f"File type {file.content_type} is not provided, but trying to process anyway"
            )
            process_file(request, ProcessFileForm(file_id=file_item.id), user=user)
-
-        Files.update_file_data_by_id(
-            file_item.id,
-            {"status": "completed"},
-        )
    except Exception as e:
        log.error(f"Error processing file: {file_item.id}")
        Files.update_file_data_by_id(
@@ -143,7 +142,28 @@ def upload_file(
    file: UploadFile = File(...),
    metadata: Optional[dict | str] = Form(None),
    process: bool = Query(True),
+    process_in_background: bool = Query(True),
    user=Depends(get_verified_user),
+):
+    return upload_file_handler(
+        request,
+        file=file,
+        metadata=metadata,
+        process=process,
+        process_in_background=process_in_background,
+        user=user,
+        background_tasks=background_tasks,
+    )
+
+
+def upload_file_handler(
+    request: Request,
+    file: UploadFile = File(...),
+    metadata: Optional[dict | str] = Form(None),
+    process: bool = Query(True),
+    process_in_background: bool = Query(True),
+    user=Depends(get_verified_user),
+    background_tasks: Optional[BackgroundTasks] = None,
 ):
    log.info(f"file.content_type: {file.content_type}")

@@ -214,16 +234,27 @@ def upload_file(
        )

        if process:
-            background_tasks.add_task(
-                process_uploaded_file,
-                request,
-                file,
-                file_path,
-                file_item,
-                file_metadata,
-                user,
-            )
-            return {"status": True, **file_item.model_dump()}
+            if background_tasks and process_in_background:
+                background_tasks.add_task(
+                    process_uploaded_file,
+                    request,
+                    file,
+                    file_path,
+                    file_item,
+                    file_metadata,
+                    user,
+                )
+                return {"status": True, **file_item.model_dump()}
+            else:
+                process_uploaded_file(
+                    request,
+                    file,
+                    file_path,
+                    file_item,
+                    file_metadata,
+                    user,
+                )
+                return {"status": True, **file_item.model_dump()}
        else:
            if file_item:
                return file_item
@@ -379,25 +410,28 @@ async def get_file_process_status(
            MAX_FILE_PROCESSING_DURATION = 3600 * 2

            async def event_stream(file_item):
-                for _ in range(MAX_FILE_PROCESSING_DURATION):
-                    file_item = Files.get_file_by_id(file_item.id)
-                    if file_item:
-                        data = file_item.model_dump().get("data", {})
-                        status = data.get("status")
+                if file_item:
+                    for _ in range(MAX_FILE_PROCESSING_DURATION):
+                        file_item = Files.get_file_by_id(file_item.id)
+                        if file_item:
+                            data = file_item.model_dump().get("data", {})
+                            status = data.get("status")

-                        if status:
-                            event = {"status": status}
-                            if status == "failed":
-                                event["error"] = data.get("error")
+                            if status:
+                                event = {"status": status}
+                                if status == "failed":
+                                    event["error"] = data.get("error")

-                            yield f"data: {json.dumps(event)}\n\n"
-                            if status in ("completed", "failed"):
+                                yield f"data: {json.dumps(event)}\n\n"
+                                if status in ("completed", "failed"):
+                                    break
+                            else:
+                                # Legacy
                                break
-                        else:
-                            # Legacy
-                            break

-                    await asyncio.sleep(0.5)
+                        await asyncio.sleep(0.5)
+                else:
+                    yield f"data: {json.dumps({'status': 'not_found'})}\n\n"

            return StreamingResponse(
                event_stream(file),
@@ -10,10 +10,15 @@ import mimetypes

 from open_webui.models.folders import (
    FolderForm,
+    FolderUpdateForm,
    FolderModel,
+    FolderNameIdResponse,
    Folders,
 )
 from open_webui.models.chats import Chats
+from open_webui.models.files import Files
+from open_webui.models.knowledge import Knowledges
+

 from open_webui.config import UPLOAD_DIR
 from open_webui.env import SRC_LOG_LEVELS
@@ -40,24 +45,46 @@ router = APIRouter()
 ############################


-@router.get("/", response_model=list[FolderModel])
+@router.get("/", response_model=list[FolderNameIdResponse])
 async def get_folders(user=Depends(get_verified_user)):
    folders = Folders.get_folders_by_user_id(user.id)

-    return [
-        {
-            **folder.model_dump(),
-            "items": {
-                "chats": [
-                    {"title": chat.title, "id": chat.id, "updated_at": chat.updated_at}
-                    for chat in Chats.get_chats_by_folder_id_and_user_id(
-                        folder.id, user.id
-                    )
-                ]
-            },
-        }
-        for folder in folders
-    ]
+    # Verify folder data integrity
+    folder_list = []
+    for folder in folders:
+        if folder.parent_id and not Folders.get_folder_by_id_and_user_id(
+            folder.parent_id, user.id
+        ):
+            folder = Folders.update_folder_parent_id_by_id_and_user_id(
+                folder.id, user.id, None
+            )
+
+        if folder.data:
+            if "files" in folder.data:
+                valid_files = []
+                for file in folder.data["files"]:
+
+                    if file.get("type") == "file":
+                        if Files.check_access_by_user_id(
+                            file.get("id"), user.id, "read"
+                        ):
+                            valid_files.append(file)
+                    elif file.get("type") == "collection":
+                        if Knowledges.check_access_by_user_id(
+                            file.get("id"), user.id, "read"
+                        ):
+                            valid_files.append(file)
+                    else:
+                        valid_files.append(file)
+
+                folder.data["files"] = valid_files
+                Folders.update_folder_by_id_and_user_id(
+                    folder.id, user.id, FolderUpdateForm(data=folder.data)
+                )
+
+        folder_list.append(FolderNameIdResponse(**folder.model_dump()))
+
+    return folder_list


 ############################
@@ -113,22 +140,24 @@ async def get_folder_by_id(id: str, user=Depends(get_verified_user)):

@router.post("/{id}/update")
 async def update_folder_name_by_id(
-    id: str, form_data: FolderForm, user=Depends(get_verified_user)
+    id: str, form_data: FolderUpdateForm, user=Depends(get_verified_user)
 ):
    folder = Folders.get_folder_by_id_and_user_id(id, user.id)
    if folder:
-        existing_folder = Folders.get_folder_by_parent_id_and_user_id_and_name(
-            folder.parent_id, user.id, form_data.name
-        )
-        if existing_folder and existing_folder.id != id:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ERROR_MESSAGES.DEFAULT("Folder already exists"),
+
+        if form_data.name is not None:
+            # Check if folder with same name exists
+            existing_folder = Folders.get_folder_by_parent_id_and_user_id_and_name(
+                folder.parent_id, user.id, form_data.name
            )
+            if existing_folder and existing_folder.id != id:
+                raise HTTPException(
+                    status_code=status.HTTP_400_BAD_REQUEST,
+                    detail=ERROR_MESSAGES.DEFAULT("Folder already exists"),
+                )

        try:
            folder = Folders.update_folder_by_id_and_user_id(id, user.id, form_data)
-
            return folder
        except Exception as e:
            log.exception(e)
@@ -231,31 +260,41 @@ async def update_folder_is_expanded_by_id(
 async def delete_folder_by_id(
    request: Request, id: str, user=Depends(get_verified_user)
 ):
-    chat_delete_permission = has_permission(
-        user.id, "chat.delete", request.app.state.config.USER_PERMISSIONS
-    )
-
-    if user.role != "admin" and not chat_delete_permission:
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
+    if Chats.count_chats_by_folder_id_and_user_id(id, user.id):
+        chat_delete_permission = has_permission(
+            user.id, "chat.delete", request.app.state.config.USER_PERMISSIONS
        )
-
-    folder = Folders.get_folder_by_id_and_user_id(id, user.id)
-    if folder:
-        try:
-            folder_ids = Folders.delete_folder_by_id_and_user_id(id, user.id)
-            for folder_id in folder_ids:
-                Chats.delete_chats_by_user_id_and_folder_id(user.id, folder_id)
-
-            return True
-        except Exception as e:
-            log.exception(e)
-            log.error(f"Error deleting folder: {id}")
+        if user.role != "admin" and not chat_delete_permission:
            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ERROR_MESSAGES.DEFAULT("Error deleting folder"),
+                status_code=status.HTTP_403_FORBIDDEN,
+                detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
            )
+
+    folders = []
+    folders.append(Folders.get_folder_by_id_and_user_id(id, user.id))
+    while folders:
+        folder = folders.pop()
+        if folder:
+            try:
+                folder_ids = Folders.delete_folder_by_id_and_user_id(id, user.id)
+                for folder_id in folder_ids:
+                    Chats.delete_chats_by_user_id_and_folder_id(user.id, folder_id)
+
+                return True
+            except Exception as e:
+                log.exception(e)
+                log.error(f"Error deleting folder: {id}")
+                raise HTTPException(
+                    status_code=status.HTTP_400_BAD_REQUEST,
+                    detail=ERROR_MESSAGES.DEFAULT("Error deleting folder"),
+                )
+            finally:
+                # Get all subfolders
+                subfolders = Folders.get_folders_by_parent_id_and_user_id(
+                    folder.id, user.id
+                )
+                folders.extend(subfolders)
+
    else:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
@@ -10,6 +10,8 @@ from open_webui.models.functions import (
    FunctionForm,
    FunctionModel,
    FunctionResponse,
+    FunctionUserResponse,
+    FunctionWithValvesModel,
    Functions,
 )
 from open_webui.utils.plugin import (
@@ -41,14 +43,19 @@ async def get_functions(user=Depends(get_verified_user)):
    return Functions.get_functions()


+@router.get("/list", response_model=list[FunctionUserResponse])
+async def get_function_list(user=Depends(get_admin_user)):
+    return Functions.get_function_list()
+
+
 ############################
 # ExportFunctions
 ############################


-@router.get("/export", response_model=list[FunctionModel])
-async def get_functions(user=Depends(get_admin_user)):
-    return Functions.get_functions()
+@router.get("/export", response_model=list[FunctionModel | FunctionWithValvesModel])
+async def get_functions(include_valves: bool = False, user=Depends(get_admin_user)):
+    return Functions.get_functions(include_valves=include_valves)


 ############################
@@ -132,10 +139,10 @@ async def load_function_from_url(


 class SyncFunctionsForm(BaseModel):
-    functions: list[FunctionModel] = []
+    functions: list[FunctionWithValvesModel] = []


-@router.post("/sync", response_model=list[FunctionModel])
+@router.post("/sync", response_model=list[FunctionWithValvesModel])
 async def sync_functions(
    request: Request, form_data: SyncFunctionsForm, user=Depends(get_admin_user)
 ):
@@ -147,6 +154,18 @@ async def sync_functions(
                content=function.content,
            )

+            if hasattr(function_module, "Valves") and function.valves:
+                Valves = function_module.Valves
+                try:
+                    Valves(
+                        **{k: v for k, v in function.valves.items() if v is not None}
+                    )
+                except Exception as e:
+                    log.exception(
+                        f"Error validating valves for function {function.id}: {e}"
+                    )
+                    raise e
+
        return Functions.sync_functions(user.id, form_data.functions)
    except Exception as e:
        log.exception(f"Failed to load a function: {e}")
@@ -191,6 +210,9 @@ async def create_new_function(
            function_cache_dir = CACHE_DIR / "functions" / form_data.id
            function_cache_dir.mkdir(parents=True, exist_ok=True)

+            if function_type == "filter" and getattr(function_module, "toggle", None):
+                Functions.update_function_metadata_by_id(id, {"toggle": True})
+
            if function:
                return function
            else:
@@ -307,6 +329,9 @@ async def update_function_by_id(

        function = Functions.update_function_by_id(id, updated)

+        if function_type == "filter" and getattr(function_module, "toggle", None):
+            Functions.update_function_metadata_by_id(id, {"toggle": True})
+
        if function:
            return function
        else:
@@ -412,8 +437,10 @@ async def update_function_valves_by_id(
            try:
                form_data = {k: v for k, v in form_data.items() if v is not None}
                valves = Valves(**form_data)
-                Functions.update_function_valves_by_id(id, valves.model_dump())
-                return valves.model_dump()
+
+                valves_dict = valves.model_dump(exclude_unset=True)
+                Functions.update_function_valves_by_id(id, valves_dict)
+                return valves_dict
            except Exception as e:
                log.exception(f"Error updating function values by id {id}: {e}")
                raise HTTPException(
@@ -495,10 +522,11 @@ async def update_function_user_valves_by_id(
            try:
                form_data = {k: v for k, v in form_data.items() if v is not None}
                user_valves = UserValves(**form_data)
+                user_valves_dict = user_valves.model_dump(exclude_unset=True)
                Functions.update_user_valves_by_id_and_user_id(
-                    id, user.id, user_valves.model_dump()
+                    id, user.id, user_valves_dict
                )
-                return user_valves.model_dump()
+                return user_valves_dict
            except Exception as e:
                log.exception(f"Error updating function user valves by id {id}: {e}")
                raise HTTPException(
@@ -1,6 +1,6 @@
 from typing import List, Optional
 from pydantic import BaseModel
-from fastapi import APIRouter, Depends, HTTPException, status, Request
+from fastapi import APIRouter, Depends, HTTPException, status, Request, Query
 import logging

 from open_webui.models.knowledge import (
@@ -151,6 +151,18 @@ async def create_new_knowledge(
            detail=ERROR_MESSAGES.UNAUTHORIZED,
        )

+    # Check if user can share publicly
+    if (
+        user.role != "admin"
+        and form_data.access_control == None
+        and not has_permission(
+            user.id,
+            "sharing.public_knowledge",
+            request.app.state.config.USER_PERMISSIONS,
+        )
+    ):
+        form_data.access_control = {}
+
    knowledge = Knowledges.insert_new_knowledge(user.id, form_data)

    if knowledge:
@@ -285,6 +297,7 @@ async def get_knowledge_by_id(id: str, user=Depends(get_verified_user)):

@router.post("/{id}/update", response_model=Optional[KnowledgeFilesResponse])
 async def update_knowledge_by_id(
+    request: Request,
    id: str,
    form_data: KnowledgeForm,
    user=Depends(get_verified_user),
@@ -306,10 +319,22 @@ async def update_knowledge_by_id(
            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
        )

+    # Check if user can share publicly
+    if (
+        user.role != "admin"
+        and form_data.access_control == None
+        and not has_permission(
+            user.id,
+            "sharing.public_knowledge",
+            request.app.state.config.USER_PERMISSIONS,
+        )
+    ):
+        form_data.access_control = {}
+
    knowledge = Knowledges.update_knowledge_by_id(id=id, form_data=form_data)
    if knowledge:
        file_ids = knowledge.data.get("file_ids", []) if knowledge.data else []
-        files = Files.get_files_by_ids(file_ids)
+        files = Files.get_file_metadatas_by_ids(file_ids)

        return KnowledgeFilesResponse(
            **knowledge.model_dump(),
@@ -492,6 +517,7 @@ def update_file_from_knowledge_by_id(
 def remove_file_from_knowledge_by_id(
    id: str,
    form_data: KnowledgeFileIdForm,
+    delete_file: bool = Query(True),
    user=Depends(get_verified_user),
 ):
    knowledge = Knowledges.get_knowledge_by_id(id=id)
@@ -528,18 +554,19 @@ def remove_file_from_knowledge_by_id(
        log.debug(e)
        pass

-    try:
-        # Remove the file's collection from vector database
-        file_collection = f"file-{form_data.file_id}"
-        if VECTOR_DB_CLIENT.has_collection(collection_name=file_collection):
-            VECTOR_DB_CLIENT.delete_collection(collection_name=file_collection)
-    except Exception as e:
-        log.debug("This was most likely caused by bypassing embedding processing")
-        log.debug(e)
-        pass
+    if delete_file:
+        try:
+            # Remove the file's collection from vector database
+            file_collection = f"file-{form_data.file_id}"
+            if VECTOR_DB_CLIENT.has_collection(collection_name=file_collection):
+                VECTOR_DB_CLIENT.delete_collection(collection_name=file_collection)
+        except Exception as e:
+            log.debug("This was most likely caused by bypassing embedding processing")
+            log.debug(e)
+            pass

-    # Delete file from database
-    Files.delete_file_by_id(form_data.file_id)
+        # Delete file from database
+        Files.delete_file_by_id(form_data.file_id)

    if knowledge:
        data = knowledge.data or {}
@@ -1,4 +1,9 @@
 from typing import Optional
+import io
+import base64
+import json
+import asyncio
+import logging

 from open_webui.models.models import (
    ModelForm,
@@ -10,22 +15,38 @@ from open_webui.models.models import (

 from pydantic import BaseModel
 from open_webui.constants import ERROR_MESSAGES
-from fastapi import APIRouter, Depends, HTTPException, Request, status
+from fastapi import (
+    APIRouter,
+    Depends,
+    HTTPException,
+    Request,
+    status,
+    Response,
+)
+from fastapi.responses import FileResponse, StreamingResponse


 from open_webui.utils.auth import get_admin_user, get_verified_user
 from open_webui.utils.access_control import has_access, has_permission
-from open_webui.config import BYPASS_ADMIN_ACCESS_CONTROL
+from open_webui.config import BYPASS_ADMIN_ACCESS_CONTROL, STATIC_DIR
+
+log = logging.getLogger(__name__)

 router = APIRouter()


+def validate_model_id(model_id: str) -> bool:
+    return model_id and len(model_id) <= 256
+
+
 ###########################
 # GetModels
 ###########################


-@router.get("/", response_model=list[ModelUserResponse])
+@router.get(
+    "/list", response_model=list[ModelUserResponse]
+)  # do NOT use "/" as path, conflicts with main.py
 async def get_models(id: Optional[str] = None, user=Depends(get_verified_user)):
    if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
        return Models.get_models()
@@ -69,6 +90,12 @@ async def create_new_model(
            detail=ERROR_MESSAGES.MODEL_ID_TAKEN,
        )

+    if not validate_model_id(form_data.id):
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.MODEL_ID_TOO_LONG,
+        )
+
    else:
        model = Models.insert_new_model(form_data, user.id)
        if model:
@@ -90,6 +117,51 @@ async def export_models(user=Depends(get_admin_user)):
    return Models.get_models()


+############################
+# ImportModels
+############################
+
+
+class ModelsImportForm(BaseModel):
+    models: list[dict]
+
+
+@router.post("/import", response_model=bool)
+async def import_models(
+    user: str = Depends(get_admin_user), form_data: ModelsImportForm = (...)
+):
+    try:
+        data = form_data.models
+        if isinstance(data, list):
+            for model_data in data:
+                # Here, you can add logic to validate model_data if needed
+                model_id = model_data.get("id")
+
+                if model_id and validate_model_id(model_id):
+                    existing_model = Models.get_model_by_id(model_id)
+                    if existing_model:
+                        # Update existing model
+                        model_data["meta"] = model_data.get("meta", {})
+                        model_data["params"] = model_data.get("params", {})
+
+                        updated_model = ModelForm(
+                            **{**existing_model.model_dump(), **model_data}
+                        )
+                        Models.update_model_by_id(model_id, updated_model)
+                    else:
+                        # Insert new model
+                        model_data["meta"] = model_data.get("meta", {})
+                        model_data["params"] = model_data.get("params", {})
+                        new_model = ModelForm(**model_data)
+                        Models.insert_new_model(user_id=user.id, form_data=new_model)
+            return True
+        else:
+            raise HTTPException(status_code=400, detail="Invalid JSON format")
+    except Exception as e:
+        log.exception(e)
+        raise HTTPException(status_code=500, detail=str(e))
+
+
 ############################
 # SyncModels
 ############################
@@ -129,6 +201,39 @@ async def get_model_by_id(id: str, user=Depends(get_verified_user)):
        )


+###########################
+# GetModelById
+###########################
+
+
+@router.get("/model/profile/image")
+async def get_model_profile_image(id: str, user=Depends(get_verified_user)):
+    model = Models.get_model_by_id(id)
+    if model:
+        if model.meta.profile_image_url:
+            if model.meta.profile_image_url.startswith("http"):
+                return Response(
+                    status_code=status.HTTP_302_FOUND,
+                    headers={"Location": model.meta.profile_image_url},
+                )
+            elif model.meta.profile_image_url.startswith("data:image"):
+                try:
+                    header, base64_data = model.meta.profile_image_url.split(",", 1)
+                    image_data = base64.b64decode(base64_data)
+                    image_buffer = io.BytesIO(image_data)
+
+                    return StreamingResponse(
+                        image_buffer,
+                        media_type="image/png",
+                        headers={"Content-Disposition": "inline; filename=image.png"},
+                    )
+                except Exception as e:
+                    pass
+        return FileResponse(f"{STATIC_DIR}/favicon.png")
+    else:
+        return FileResponse(f"{STATIC_DIR}/favicon.png")
+
+
 ############################
 # ToggleModelById
 ############################
@@ -48,7 +48,7 @@ async def get_notes(request: Request, user=Depends(get_verified_user)):
                "user": UserResponse(**Users.get_user_by_id(note.user_id).model_dump()),
            }
        )
-        for note in Notes.get_notes_by_user_id(user.id, "write")
+        for note in Notes.get_notes_by_permission(user.id, "write")
    ]

    return notes
@@ -62,8 +62,9 @@ class NoteTitleIdResponse(BaseModel):


@router.get("/list", response_model=list[NoteTitleIdResponse])
-async def get_note_list(request: Request, user=Depends(get_verified_user)):
-
+async def get_note_list(
+    request: Request, page: Optional[int] = None, user=Depends(get_verified_user)
+):
    if user.role != "admin" and not has_permission(
        user.id, "features.notes", request.app.state.config.USER_PERMISSIONS
    ):
@@ -72,9 +73,17 @@ async def get_note_list(request: Request, user=Depends(get_verified_user)):
            detail=ERROR_MESSAGES.UNAUTHORIZED,
        )

+    limit = None
+    skip = None
+    if page is not None:
+        limit = 60
+        skip = (page - 1) * limit
+
    notes = [
        NoteTitleIdResponse(**note.model_dump())
-        for note in Notes.get_notes_by_user_id(user.id, "write")
+        for note in Notes.get_notes_by_permission(
+            user.id, "write", skip=skip, limit=limit
+        )
    ]

    return notes
@@ -171,6 +180,18 @@ async def update_note_by_id(
            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
        )

+    # Check if user can share publicly
+    if (
+        user.role != "admin"
+        and form_data.access_control == None
+        and not has_permission(
+            user.id,
+            "sharing.public_notes",
+            request.app.state.config.USER_PERMISSIONS,
+        )
+    ):
+        form_data.access_control = {}
+
    try:
        note = Notes.update_note_by_id(id, form_data)
        await sio.emit(
@@ -329,17 +329,21 @@ def merge_ollama_models_lists(model_lists):
    for idx, model_list in enumerate(model_lists):
        if model_list is not None:
            for model in model_list:
-                id = model["model"]
-                if id not in merged_models:
-                    model["urls"] = [idx]
-                    merged_models[id] = model
-                else:
-                    merged_models[id]["urls"].append(idx)
+                id = model.get("model")
+                if id is not None:
+                    if id not in merged_models:
+                        model["urls"] = [idx]
+                        merged_models[id] = model
+                    else:
+                        merged_models[id]["urls"].append(idx)

    return list(merged_models.values())


-@cached(ttl=MODELS_CACHE_TTL)
+@cached(
+    ttl=MODELS_CACHE_TTL,
+    key=lambda _, user: f"ollama_all_models_{user.id}" if user else "ollama_all_models",
+)
 async def get_all_models(request: Request, user: UserModel = None):
    log.info("get_all_models()")
    if request.app.state.config.ENABLE_OLLAMA_API:
@@ -1016,6 +1020,10 @@ class GenerateEmbedForm(BaseModel):
    options: Optional[dict] = None
    keep_alive: Optional[Union[int, str]] = None

+    model_config = ConfigDict(
+        extra="allow",
+    )
+

@router.post("/api/embed")
@router.post("/api/embed/{url_idx}")
@@ -1690,25 +1698,27 @@ async def download_file_stream(
                    yield f'data: {{"progress": {progress}, "completed": {current_size}, "total": {total_size}}}\n\n'

                if done:
-                    file.seek(0)
-                    chunk_size = 1024 * 1024 * 2
-                    hashed = calculate_sha256(file, chunk_size)
-                    file.seek(0)
+                    file.close()

-                    url = f"{ollama_url}/api/blobs/sha256:{hashed}"
-                    response = requests.post(url, data=file)
+                    with open(file_path, "rb") as file:
+                        chunk_size = 1024 * 1024 * 2
+                        hashed = calculate_sha256(file, chunk_size)

-                    if response.ok:
-                        res = {
-                            "done": done,
-                            "blob": f"sha256:{hashed}",
-                            "name": file_name,
-                        }
-                        os.remove(file_path)
+                        url = f"{ollama_url}/api/blobs/sha256:{hashed}"
+                        with requests.Session() as session:
+                            response = session.post(url, data=file, timeout=30)

-                        yield f"data: {json.dumps(res)}\n\n"
-                    else:
-                        raise "Ollama: Could not create blob, Please try again."
+                            if response.ok:
+                                res = {
+                                    "done": done,
+                                    "blob": f"sha256:{hashed}",
+                                    "name": file_name,
+                                }
+                                os.remove(file_path)
+
+                                yield f"data: {json.dumps(res)}\n\n"
+                            else:
+                                raise "Ollama: Could not create blob, Please try again."


 # url = "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF/resolve/main/stablelm-zephyr-3b.Q2_K.gguf"
@@ -9,6 +9,8 @@ from aiocache import cached
 import requests
 from urllib.parse import quote

+from azure.identity import DefaultAzureCredential, get_bearer_token_provider
+
 from fastapi import Depends, HTTPException, Request, APIRouter
 from fastapi.responses import (
    FileResponse,
@@ -119,6 +121,96 @@ def openai_reasoning_model_handler(payload):
    return payload


+async def get_headers_and_cookies(
+    request: Request,
+    url,
+    key=None,
+    config=None,
+    metadata: Optional[dict] = None,
+    user: UserModel = None,
+):
+    cookies = {}
+    headers = {
+        "Content-Type": "application/json",
+        **(
+            {
+                "HTTP-Referer": "https://openwebui.com/",
+                "X-Title": "Open WebUI",
+            }
+            if "openrouter.ai" in url
+            else {}
+        ),
+        **(
+            {
+                "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
+                "X-OpenWebUI-User-Id": user.id,
+                "X-OpenWebUI-User-Email": user.email,
+                "X-OpenWebUI-User-Role": user.role,
+                **(
+                    {"X-OpenWebUI-Chat-Id": metadata.get("chat_id")}
+                    if metadata and metadata.get("chat_id")
+                    else {}
+                ),
+            }
+            if ENABLE_FORWARD_USER_INFO_HEADERS
+            else {}
+        ),
+    }
+
+    token = None
+    auth_type = config.get("auth_type")
+
+    if auth_type == "bearer" or auth_type is None:
+        # Default to bearer if not specified
+        token = f"{key}"
+    elif auth_type == "none":
+        token = None
+    elif auth_type == "session":
+        cookies = request.cookies
+        token = request.state.token.credentials
+    elif auth_type == "system_oauth":
+        cookies = request.cookies
+
+        oauth_token = None
+        try:
+            if request.cookies.get("oauth_session_id", None):
+                oauth_token = await request.app.state.oauth_manager.get_oauth_token(
+                    user.id,
+                    request.cookies.get("oauth_session_id", None),
+                )
+        except Exception as e:
+            log.error(f"Error getting OAuth token: {e}")
+
+        if oauth_token:
+            token = f"{oauth_token.get('access_token', '')}"
+
+    elif auth_type in ("azure_ad", "microsoft_entra_id"):
+        token = get_microsoft_entra_id_access_token()
+
+    if token:
+        headers["Authorization"] = f"Bearer {token}"
+
+    if config.get("headers") and isinstance(config.get("headers"), dict):
+        headers = {**headers, **config.get("headers")}
+
+    return headers, cookies
+
+
+def get_microsoft_entra_id_access_token():
+    """
+    Get Microsoft Entra ID access token using DefaultAzureCredential for Azure OpenAI.
+    Returns the token string or None if authentication fails.
+    """
+    try:
+        token_provider = get_bearer_token_provider(
+            DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
+        )
+        return token_provider()
+    except Exception as e:
+        log.error(f"Error getting Microsoft Entra ID access token: {e}")
+        return None
+
+
 ##########################################
 #
 # API routes
@@ -210,34 +302,23 @@ async def speech(request: Request, user=Depends(get_verified_user)):
            return FileResponse(file_path)

        url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
+        key = request.app.state.config.OPENAI_API_KEYS[idx]
+        api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
+            str(idx),
+            request.app.state.config.OPENAI_API_CONFIGS.get(url, {}),  # Legacy support
+        )
+
+        headers, cookies = await get_headers_and_cookies(
+            request, url, key, api_config, user=user
+        )

        r = None
        try:
            r = requests.post(
                url=f"{url}/audio/speech",
                data=body,
-                headers={
-                    "Content-Type": "application/json",
-                    "Authorization": f"Bearer {request.app.state.config.OPENAI_API_KEYS[idx]}",
-                    **(
-                        {
-                            "HTTP-Referer": "https://openwebui.com/",
-                            "X-Title": "Open WebUI",
-                        }
-                        if "openrouter.ai" in url
-                        else {}
-                    ),
-                    **(
-                        {
-                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
-                            "X-OpenWebUI-User-Id": user.id,
-                            "X-OpenWebUI-User-Email": user.email,
-                            "X-OpenWebUI-User-Role": user.role,
-                        }
-                        if ENABLE_FORWARD_USER_INFO_HEADERS
-                        else {}
-                    ),
-                },
+                headers=headers,
+                cookies=cookies,
                stream=True,
            )

@@ -401,7 +482,10 @@ async def get_filtered_models(models, user):
    return filtered_models


-@cached(ttl=MODELS_CACHE_TTL)
+@cached(
+    ttl=MODELS_CACHE_TTL,
+    key=lambda _, user: f"openai_all_models_{user.id}" if user else "openai_all_models",
+)
 async def get_all_models(request: Request, user: UserModel) -> dict[str, list]:
    log.info("get_all_models()")

@@ -417,50 +501,55 @@ async def get_all_models(request: Request, user: UserModel) -> dict[str, list]:
            return response
        return None

-    def merge_models_lists(model_lists):
+    def is_supported_openai_models(model_id):
+        if any(
+            name in model_id
+            for name in [
+                "babbage",
+                "dall-e",
+                "davinci",
+                "embedding",
+                "tts",
+                "whisper",
+            ]
+        ):
+            return False
+        return True
+
+    def get_merged_models(model_lists):
        log.debug(f"merge_models_lists {model_lists}")
-        merged_list = []
+        models = {}

-        for idx, models in enumerate(model_lists):
-            if models is not None and "error" not in models:
+        for idx, model_list in enumerate(model_lists):
+            if model_list is not None and "error" not in model_list:
+                for model in model_list:
+                    model_id = model.get("id") or model.get("name")

-                merged_list.extend(
-                    [
-                        {
+                    if (
+                        "api.openai.com"
+                        in request.app.state.config.OPENAI_API_BASE_URLS[idx]
+                        and not is_supported_openai_models(model_id)
+                    ):
+                        # Skip unwanted OpenAI models
+                        continue
+
+                    if model_id and model_id not in models:
+                        models[model_id] = {
                            **model,
-                            "name": model.get("name", model["id"]),
+                            "name": model.get("name", model_id),
                            "owned_by": "openai",
                            "openai": model,
                            "connection_type": model.get("connection_type", "external"),
                            "urlIdx": idx,
                        }
-                        for model in models
-                        if (model.get("id") or model.get("name"))
-                        and (
-                            "api.openai.com"
-                            not in request.app.state.config.OPENAI_API_BASE_URLS[idx]
-                            or not any(
-                                name in model["id"]
-                                for name in [
-                                    "babbage",
-                                    "dall-e",
-                                    "davinci",
-                                    "embedding",
-                                    "tts",
-                                    "whisper",
-                                ]
-                            )
-                        )
-                    ]
-                )

-        return merged_list
+        return models

-    models = {"data": merge_models_lists(map(extract_data, responses))}
+    models = get_merged_models(map(extract_data, responses))
    log.debug(f"models: {models}")

-    request.app.state.OPENAI_MODELS = {model["id"]: model for model in models["data"]}
-    return models
+    request.app.state.OPENAI_MODELS = models
+    return {"data": list(models.values())}


@router.get("/models")
@@ -489,19 +578,9 @@ async def get_models(
            timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST),
        ) as session:
            try:
-                headers = {
-                    "Content-Type": "application/json",
-                    **(
-                        {
-                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
-                            "X-OpenWebUI-User-Id": user.id,
-                            "X-OpenWebUI-User-Email": user.email,
-                            "X-OpenWebUI-User-Role": user.role,
-                        }
-                        if ENABLE_FORWARD_USER_INFO_HEADERS
-                        else {}
-                    ),
-                }
+                headers, cookies = await get_headers_and_cookies(
+                    request, url, key, api_config, user=user
+                )

                if api_config.get("azure", False):
                    models = {
@@ -509,11 +588,10 @@ async def get_models(
                        "object": "list",
                    }
                else:
-                    headers["Authorization"] = f"Bearer {key}"
-
                    async with session.get(
                        f"{url}/models",
                        headers=headers,
+                        cookies=cookies,
                        ssl=AIOHTTP_CLIENT_SESSION_SSL,
                    ) as r:
                        if r.status != 200:
@@ -572,7 +650,9 @@ class ConnectionVerificationForm(BaseModel):

@router.post("/verify")
 async def verify_connection(
-    form_data: ConnectionVerificationForm, user=Depends(get_admin_user)
+    request: Request,
+    form_data: ConnectionVerificationForm,
+    user=Depends(get_admin_user),
 ):
    url = form_data.url
    key = form_data.key
@@ -584,27 +664,21 @@ async def verify_connection(
        timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST),
    ) as session:
        try:
-            headers = {
-                "Content-Type": "application/json",
-                **(
-                    {
-                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
-                        "X-OpenWebUI-User-Id": user.id,
-                        "X-OpenWebUI-User-Email": user.email,
-                        "X-OpenWebUI-User-Role": user.role,
-                    }
-                    if ENABLE_FORWARD_USER_INFO_HEADERS
-                    else {}
-                ),
-            }
+            headers, cookies = await get_headers_and_cookies(
+                request, url, key, api_config, user=user
+            )

            if api_config.get("azure", False):
-                headers["api-key"] = key
-                api_version = api_config.get("api_version", "") or "2023-03-15-preview"
+                # Only set api-key header if not using Azure Entra ID authentication
+                auth_type = api_config.get("auth_type", "bearer")
+                if auth_type not in ("azure_ad", "microsoft_entra_id"):
+                    headers["api-key"] = key

+                api_version = api_config.get("api_version", "") or "2023-03-15-preview"
                async with session.get(
                    url=f"{url}/openai/models?api-version={api_version}",
                    headers=headers,
+                    cookies=cookies,
                    ssl=AIOHTTP_CLIENT_SESSION_SSL,
                ) as r:
                    try:
@@ -624,11 +698,10 @@ async def verify_connection(

                    return response_data
            else:
-                headers["Authorization"] = f"Bearer {key}"
-
                async with session.get(
                    f"{url}/models",
                    headers=headers,
+                    cookies=cookies,
                    ssl=AIOHTTP_CLIENT_SESSION_SSL,
                ) as r:
                    try:
@@ -836,42 +909,23 @@ async def generate_chat_completion(
            convert_logit_bias_input_to_json(payload["logit_bias"])
        )

-    headers = {
-        "Content-Type": "application/json",
-        **(
-            {
-                "HTTP-Referer": "https://openwebui.com/",
-                "X-Title": "Open WebUI",
-            }
-            if "openrouter.ai" in url
-            else {}
-        ),
-        **(
-            {
-                "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
-                "X-OpenWebUI-User-Id": user.id,
-                "X-OpenWebUI-User-Email": user.email,
-                "X-OpenWebUI-User-Role": user.role,
-                **(
-                    {"X-OpenWebUI-Chat-Id": metadata.get("chat_id")}
-                    if metadata and metadata.get("chat_id")
-                    else {}
-                ),
-            }
-            if ENABLE_FORWARD_USER_INFO_HEADERS
-            else {}
-        ),
-    }
+    headers, cookies = await get_headers_and_cookies(
+        request, url, key, api_config, metadata, user=user
+    )

    if api_config.get("azure", False):
        api_version = api_config.get("api_version", "2023-03-15-preview")
        request_url, payload = convert_to_azure_payload(url, payload, api_version)
-        headers["api-key"] = key
+
+        # Only set api-key header if not using Azure Entra ID authentication
+        auth_type = api_config.get("auth_type", "bearer")
+        if auth_type not in ("azure_ad", "microsoft_entra_id"):
+            headers["api-key"] = key
+
        headers["api-version"] = api_version
        request_url = f"{request_url}/chat/completions?api-version={api_version}"
    else:
        request_url = f"{url}/chat/completions"
-        headers["Authorization"] = f"Bearer {key}"

    payload = json.dumps(payload)

@@ -890,6 +944,7 @@ async def generate_chat_completion(
            url=request_url,
            data=payload,
            headers=headers,
+            cookies=cookies,
            ssl=AIOHTTP_CLIENT_SESSION_SSL,
        )

@@ -951,31 +1006,29 @@ async def embeddings(request: Request, form_data: dict, user):
    models = request.app.state.OPENAI_MODELS
    if model_id in models:
        idx = models[model_id]["urlIdx"]
+
    url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
    key = request.app.state.config.OPENAI_API_KEYS[idx]
+    api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
+        str(idx),
+        request.app.state.config.OPENAI_API_CONFIGS.get(url, {}),  # Legacy support
+    )
+
    r = None
    session = None
    streaming = False
+
+    headers, cookies = await get_headers_and_cookies(
+        request, url, key, api_config, user=user
+    )
    try:
        session = aiohttp.ClientSession(trust_env=True)
        r = await session.request(
            method="POST",
            url=f"{url}/embeddings",
            data=body,
-            headers={
-                "Authorization": f"Bearer {key}",
-                "Content-Type": "application/json",
-                **(
-                    {
-                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
-                        "X-OpenWebUI-User-Id": user.id,
-                        "X-OpenWebUI-User-Email": user.email,
-                        "X-OpenWebUI-User-Role": user.role,
-                    }
-                    if ENABLE_FORWARD_USER_INFO_HEADERS and user
-                    else {}
-                ),
-            },
+            headers=headers,
+            cookies=cookies,
        )

        if "text/event-stream" in r.headers.get("Content-Type", ""):
@@ -1037,23 +1090,18 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
    streaming = False

    try:
-        headers = {
-            "Content-Type": "application/json",
-            **(
-                {
-                    "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
-                    "X-OpenWebUI-User-Id": user.id,
-                    "X-OpenWebUI-User-Email": user.email,
-                    "X-OpenWebUI-User-Role": user.role,
-                }
-                if ENABLE_FORWARD_USER_INFO_HEADERS
-                else {}
-            ),
-        }
+        headers, cookies = await get_headers_and_cookies(
+            request, url, key, api_config, user=user
+        )

        if api_config.get("azure", False):
            api_version = api_config.get("api_version", "2023-03-15-preview")
-            headers["api-key"] = key
+
+            # Only set api-key header if not using Azure Entra ID authentication
+            auth_type = api_config.get("auth_type", "bearer")
+            if auth_type not in ("azure_ad", "microsoft_entra_id"):
+                headers["api-key"] = key
+
            headers["api-version"] = api_version

            payload = json.loads(body)
@@ -1062,7 +1110,6 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):

            request_url = f"{url}/{path}?api-version={api_version}"
        else:
-            headers["Authorization"] = f"Bearer {key}"
            request_url = f"{url}/{path}"

        session = aiohttp.ClientSession(trust_env=True)
@@ -1071,6 +1118,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
            url=request_url,
            data=body,
            headers=headers,
+            cookies=cookies,
            ssl=AIOHTTP_CLIENT_SESSION_SSL,
        )

@@ -5,6 +5,7 @@ import os
 import shutil
 import asyncio

+import re
 import uuid
 from datetime import datetime
 from pathlib import Path
@@ -45,6 +46,8 @@ from open_webui.retrieval.loaders.youtube import YoutubeLoader
 # Web search engines
 from open_webui.retrieval.web.main import SearchResult
 from open_webui.retrieval.web.utils import get_web_loader
+from open_webui.retrieval.web.ollama import search_ollama_cloud
+from open_webui.retrieval.web.perplexity_search import search_perplexity_search
 from open_webui.retrieval.web.brave import search_brave
 from open_webui.retrieval.web.kagi import search_kagi
 from open_webui.retrieval.web.mojeek import search_mojeek
@@ -68,6 +71,7 @@ from open_webui.retrieval.web.firecrawl import search_firecrawl
 from open_webui.retrieval.web.external import search_external

 from open_webui.retrieval.utils import (
+    get_content_from_url,
    get_embedding_function,
    get_reranking_function,
    get_model_path,
@@ -76,6 +80,7 @@ from open_webui.retrieval.utils import (
    query_doc,
    query_doc_with_hybrid_search,
 )
+from open_webui.retrieval.vector.utils import filter_metadata
 from open_webui.utils.misc import (
    calculate_sha256_string,
 )
@@ -186,6 +191,26 @@ def get_rf(
                    log.error(f"CrossEncoder: {e}")
                    raise Exception(ERROR_MESSAGES.DEFAULT("CrossEncoder error"))

+                # Safely adjust pad_token_id if missing as some models do not have this in config
+                try:
+                    model_cfg = getattr(rf, "model", None)
+                    if model_cfg and hasattr(model_cfg, "config"):
+                        cfg = model_cfg.config
+                        if getattr(cfg, "pad_token_id", None) is None:
+                            # Fallback to eos_token_id when available
+                            eos = getattr(cfg, "eos_token_id", None)
+                            if eos is not None:
+                                cfg.pad_token_id = eos
+                                log.debug(
+                                    f"Missing pad_token_id detected; set to eos_token_id={eos}"
+                                )
+                            else:
+                                log.warning(
+                                    "Neither pad_token_id nor eos_token_id present in model config"
+                                )
+                except Exception as e2:
+                    log.warning(f"Failed to adjust pad_token_id on CrossEncoder: {e2}")
+
    return rf


@@ -426,15 +451,27 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
        "EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
        "TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
        "DOCLING_SERVER_URL": request.app.state.config.DOCLING_SERVER_URL,
+        "DOCLING_PARAMS": request.app.state.config.DOCLING_PARAMS,
+        "DOCLING_DO_OCR": request.app.state.config.DOCLING_DO_OCR,
+        "DOCLING_FORCE_OCR": request.app.state.config.DOCLING_FORCE_OCR,
        "DOCLING_OCR_ENGINE": request.app.state.config.DOCLING_OCR_ENGINE,
        "DOCLING_OCR_LANG": request.app.state.config.DOCLING_OCR_LANG,
+        "DOCLING_PDF_BACKEND": request.app.state.config.DOCLING_PDF_BACKEND,
+        "DOCLING_TABLE_MODE": request.app.state.config.DOCLING_TABLE_MODE,
+        "DOCLING_PIPELINE": request.app.state.config.DOCLING_PIPELINE,
        "DOCLING_DO_PICTURE_DESCRIPTION": request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION,
        "DOCLING_PICTURE_DESCRIPTION_MODE": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE,
        "DOCLING_PICTURE_DESCRIPTION_LOCAL": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL,
        "DOCLING_PICTURE_DESCRIPTION_API": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API,
        "DOCUMENT_INTELLIGENCE_ENDPOINT": request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
        "DOCUMENT_INTELLIGENCE_KEY": request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
+        "MISTRAL_OCR_API_BASE_URL": request.app.state.config.MISTRAL_OCR_API_BASE_URL,
        "MISTRAL_OCR_API_KEY": request.app.state.config.MISTRAL_OCR_API_KEY,
+        # MinerU settings
+        "MINERU_API_MODE": request.app.state.config.MINERU_API_MODE,
+        "MINERU_API_URL": request.app.state.config.MINERU_API_URL,
+        "MINERU_API_KEY": request.app.state.config.MINERU_API_KEY,
+        "MINERU_PARAMS": request.app.state.config.MINERU_PARAMS,
        # Reranking settings
        "RAG_RERANKING_MODEL": request.app.state.config.RAG_RERANKING_MODEL,
        "RAG_RERANKING_ENGINE": request.app.state.config.RAG_RERANKING_ENGINE,
@@ -464,6 +501,7 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
            "WEB_SEARCH_DOMAIN_FILTER_LIST": request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
            "BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL": request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL,
            "BYPASS_WEB_SEARCH_WEB_LOADER": request.app.state.config.BYPASS_WEB_SEARCH_WEB_LOADER,
+            "OLLAMA_CLOUD_WEB_SEARCH_API_KEY": request.app.state.config.OLLAMA_CLOUD_WEB_SEARCH_API_KEY,
            "SEARXNG_QUERY_URL": request.app.state.config.SEARXNG_QUERY_URL,
            "YACY_QUERY_URL": request.app.state.config.YACY_QUERY_URL,
            "YACY_USERNAME": request.app.state.config.YACY_USERNAME,
@@ -520,6 +558,7 @@ class WebConfig(BaseModel):
    WEB_SEARCH_DOMAIN_FILTER_LIST: Optional[List[str]] = []
    BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL: Optional[bool] = None
    BYPASS_WEB_SEARCH_WEB_LOADER: Optional[bool] = None
+    OLLAMA_CLOUD_WEB_SEARCH_API_KEY: Optional[str] = None
    SEARXNG_QUERY_URL: Optional[str] = None
    YACY_QUERY_URL: Optional[str] = None
    YACY_USERNAME: Optional[str] = None
@@ -580,6 +619,7 @@ class ConfigForm(BaseModel):
    # Content extraction settings
    CONTENT_EXTRACTION_ENGINE: Optional[str] = None
    PDF_EXTRACT_IMAGES: Optional[bool] = None
+
    DATALAB_MARKER_API_KEY: Optional[str] = None
    DATALAB_MARKER_API_BASE_URL: Optional[str] = None
    DATALAB_MARKER_ADDITIONAL_CONFIG: Optional[str] = None
@@ -591,21 +631,35 @@ class ConfigForm(BaseModel):
    DATALAB_MARKER_FORMAT_LINES: Optional[bool] = None
    DATALAB_MARKER_USE_LLM: Optional[bool] = None
    DATALAB_MARKER_OUTPUT_FORMAT: Optional[str] = None
+
    EXTERNAL_DOCUMENT_LOADER_URL: Optional[str] = None
    EXTERNAL_DOCUMENT_LOADER_API_KEY: Optional[str] = None

    TIKA_SERVER_URL: Optional[str] = None
    DOCLING_SERVER_URL: Optional[str] = None
+    DOCLING_PARAMS: Optional[dict] = None
+    DOCLING_DO_OCR: Optional[bool] = None
+    DOCLING_FORCE_OCR: Optional[bool] = None
    DOCLING_OCR_ENGINE: Optional[str] = None
    DOCLING_OCR_LANG: Optional[str] = None
+    DOCLING_PDF_BACKEND: Optional[str] = None
+    DOCLING_TABLE_MODE: Optional[str] = None
+    DOCLING_PIPELINE: Optional[str] = None
    DOCLING_DO_PICTURE_DESCRIPTION: Optional[bool] = None
    DOCLING_PICTURE_DESCRIPTION_MODE: Optional[str] = None
    DOCLING_PICTURE_DESCRIPTION_LOCAL: Optional[dict] = None
    DOCLING_PICTURE_DESCRIPTION_API: Optional[dict] = None
    DOCUMENT_INTELLIGENCE_ENDPOINT: Optional[str] = None
    DOCUMENT_INTELLIGENCE_KEY: Optional[str] = None
+    MISTRAL_OCR_API_BASE_URL: Optional[str] = None
    MISTRAL_OCR_API_KEY: Optional[str] = None

+    # MinerU settings
+    MINERU_API_MODE: Optional[str] = None
+    MINERU_API_URL: Optional[str] = None
+    MINERU_API_KEY: Optional[str] = None
+    MINERU_PARAMS: Optional[dict] = None
+
    # Reranking settings
    RAG_RERANKING_MODEL: Optional[str] = None
    RAG_RERANKING_ENGINE: Optional[str] = None
@@ -767,6 +821,21 @@ async def update_rag_config(
        if form_data.DOCLING_SERVER_URL is not None
        else request.app.state.config.DOCLING_SERVER_URL
    )
+    request.app.state.config.DOCLING_PARAMS = (
+        form_data.DOCLING_PARAMS
+        if form_data.DOCLING_PARAMS is not None
+        else request.app.state.config.DOCLING_PARAMS
+    )
+    request.app.state.config.DOCLING_DO_OCR = (
+        form_data.DOCLING_DO_OCR
+        if form_data.DOCLING_DO_OCR is not None
+        else request.app.state.config.DOCLING_DO_OCR
+    )
+    request.app.state.config.DOCLING_FORCE_OCR = (
+        form_data.DOCLING_FORCE_OCR
+        if form_data.DOCLING_FORCE_OCR is not None
+        else request.app.state.config.DOCLING_FORCE_OCR
+    )
    request.app.state.config.DOCLING_OCR_ENGINE = (
        form_data.DOCLING_OCR_ENGINE
        if form_data.DOCLING_OCR_ENGINE is not None
@@ -777,7 +846,21 @@ async def update_rag_config(
        if form_data.DOCLING_OCR_LANG is not None
        else request.app.state.config.DOCLING_OCR_LANG
    )
-
+    request.app.state.config.DOCLING_PDF_BACKEND = (
+        form_data.DOCLING_PDF_BACKEND
+        if form_data.DOCLING_PDF_BACKEND is not None
+        else request.app.state.config.DOCLING_PDF_BACKEND
+    )
+    request.app.state.config.DOCLING_TABLE_MODE = (
+        form_data.DOCLING_TABLE_MODE
+        if form_data.DOCLING_TABLE_MODE is not None
+        else request.app.state.config.DOCLING_TABLE_MODE
+    )
+    request.app.state.config.DOCLING_PIPELINE = (
+        form_data.DOCLING_PIPELINE
+        if form_data.DOCLING_PIPELINE is not None
+        else request.app.state.config.DOCLING_PIPELINE
+    )
    request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION = (
        form_data.DOCLING_DO_PICTURE_DESCRIPTION
        if form_data.DOCLING_DO_PICTURE_DESCRIPTION is not None
@@ -810,12 +893,40 @@ async def update_rag_config(
        if form_data.DOCUMENT_INTELLIGENCE_KEY is not None
        else request.app.state.config.DOCUMENT_INTELLIGENCE_KEY
    )
+
+    request.app.state.config.MISTRAL_OCR_API_BASE_URL = (
+        form_data.MISTRAL_OCR_API_BASE_URL
+        if form_data.MISTRAL_OCR_API_BASE_URL is not None
+        else request.app.state.config.MISTRAL_OCR_API_BASE_URL
+    )
    request.app.state.config.MISTRAL_OCR_API_KEY = (
        form_data.MISTRAL_OCR_API_KEY
        if form_data.MISTRAL_OCR_API_KEY is not None
        else request.app.state.config.MISTRAL_OCR_API_KEY
    )

+    # MinerU settings
+    request.app.state.config.MINERU_API_MODE = (
+        form_data.MINERU_API_MODE
+        if form_data.MINERU_API_MODE is not None
+        else request.app.state.config.MINERU_API_MODE
+    )
+    request.app.state.config.MINERU_API_URL = (
+        form_data.MINERU_API_URL
+        if form_data.MINERU_API_URL is not None
+        else request.app.state.config.MINERU_API_URL
+    )
+    request.app.state.config.MINERU_API_KEY = (
+        form_data.MINERU_API_KEY
+        if form_data.MINERU_API_KEY is not None
+        else request.app.state.config.MINERU_API_KEY
+    )
+    request.app.state.config.MINERU_PARAMS = (
+        form_data.MINERU_PARAMS
+        if form_data.MINERU_PARAMS is not None
+        else request.app.state.config.MINERU_PARAMS
+    )
+
    # Reranking settings
    if request.app.state.config.RAG_RERANKING_ENGINE == "":
        # Unloading the internal reranker and clear VRAM memory
@@ -954,6 +1065,9 @@ async def update_rag_config(
        request.app.state.config.BYPASS_WEB_SEARCH_WEB_LOADER = (
            form_data.web.BYPASS_WEB_SEARCH_WEB_LOADER
        )
+        request.app.state.config.OLLAMA_CLOUD_WEB_SEARCH_API_KEY = (
+            form_data.web.OLLAMA_CLOUD_WEB_SEARCH_API_KEY
+        )
        request.app.state.config.SEARXNG_QUERY_URL = form_data.web.SEARXNG_QUERY_URL
        request.app.state.config.YACY_QUERY_URL = form_data.web.YACY_QUERY_URL
        request.app.state.config.YACY_USERNAME = form_data.web.YACY_USERNAME
@@ -1062,15 +1176,27 @@ async def update_rag_config(
        "EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
        "TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
        "DOCLING_SERVER_URL": request.app.state.config.DOCLING_SERVER_URL,
+        "DOCLING_PARAMS": request.app.state.config.DOCLING_PARAMS,
+        "DOCLING_DO_OCR": request.app.state.config.DOCLING_DO_OCR,
+        "DOCLING_FORCE_OCR": request.app.state.config.DOCLING_FORCE_OCR,
        "DOCLING_OCR_ENGINE": request.app.state.config.DOCLING_OCR_ENGINE,
        "DOCLING_OCR_LANG": request.app.state.config.DOCLING_OCR_LANG,
+        "DOCLING_PDF_BACKEND": request.app.state.config.DOCLING_PDF_BACKEND,
+        "DOCLING_TABLE_MODE": request.app.state.config.DOCLING_TABLE_MODE,
+        "DOCLING_PIPELINE": request.app.state.config.DOCLING_PIPELINE,
        "DOCLING_DO_PICTURE_DESCRIPTION": request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION,
        "DOCLING_PICTURE_DESCRIPTION_MODE": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE,
        "DOCLING_PICTURE_DESCRIPTION_LOCAL": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL,
        "DOCLING_PICTURE_DESCRIPTION_API": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API,
        "DOCUMENT_INTELLIGENCE_ENDPOINT": request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
        "DOCUMENT_INTELLIGENCE_KEY": request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
+        "MISTRAL_OCR_API_BASE_URL": request.app.state.config.MISTRAL_OCR_API_BASE_URL,
        "MISTRAL_OCR_API_KEY": request.app.state.config.MISTRAL_OCR_API_KEY,
+        # MinerU settings
+        "MINERU_API_MODE": request.app.state.config.MINERU_API_MODE,
+        "MINERU_API_URL": request.app.state.config.MINERU_API_URL,
+        "MINERU_API_KEY": request.app.state.config.MINERU_API_KEY,
+        "MINERU_PARAMS": request.app.state.config.MINERU_PARAMS,
        # Reranking settings
        "RAG_RERANKING_MODEL": request.app.state.config.RAG_RERANKING_MODEL,
        "RAG_RERANKING_ENGINE": request.app.state.config.RAG_RERANKING_ENGINE,
@@ -1100,6 +1226,7 @@ async def update_rag_config(
            "WEB_SEARCH_DOMAIN_FILTER_LIST": request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
            "BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL": request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL,
            "BYPASS_WEB_SEARCH_WEB_LOADER": request.app.state.config.BYPASS_WEB_SEARCH_WEB_LOADER,
+            "OLLAMA_CLOUD_WEB_SEARCH_API_KEY": request.app.state.config.OLLAMA_CLOUD_WEB_SEARCH_API_KEY,
            "SEARXNG_QUERY_URL": request.app.state.config.SEARXNG_QUERY_URL,
            "YACY_QUERY_URL": request.app.state.config.YACY_QUERY_URL,
            "YACY_USERNAME": request.app.state.config.YACY_USERNAME,
@@ -1295,7 +1422,7 @@ def save_docs_to_vector_db(
                )
                return True

-        log.info(f"adding to collection {collection_name}")
+        log.info(f"generating embeddings for {collection_name}")
        embedding_function = get_embedding_function(
            request.app.state.config.RAG_EMBEDDING_ENGINE,
            request.app.state.config.RAG_EMBEDDING_MODEL,
@@ -1331,6 +1458,7 @@ def save_docs_to_vector_db(
            prefix=RAG_EMBEDDING_CONTENT_PREFIX,
            user=user,
        )
+        log.info(f"embeddings generated {len(embeddings)} for {len(texts)} items")

        items = [
            {
@@ -1342,11 +1470,13 @@ def save_docs_to_vector_db(
            for idx, text in enumerate(texts)
        ]

+        log.info(f"adding to collection {collection_name}")
        VECTOR_DB_CLIENT.insert(
            collection_name=collection_name,
            items=items,
        )

+        log.info(f"added {len(items)} items to collection {collection_name}")
        return True
    except Exception as e:
        log.exception(e)
@@ -1365,198 +1495,235 @@ def process_file(
    form_data: ProcessFileForm,
    user=Depends(get_verified_user),
 ):
-    try:
+    if user.role == "admin":
        file = Files.get_file_by_id(form_data.file_id)
+    else:
+        file = Files.get_file_by_id_and_user_id(form_data.file_id, user.id)

-        collection_name = form_data.collection_name
+    if file:
+        try:

-        if collection_name is None:
-            collection_name = f"file-{file.id}"
+            collection_name = form_data.collection_name

-        if form_data.content:
-            # Update the content in the file
-            # Usage: /files/{file_id}/data/content/update, /files/ (audio file upload pipeline)
+            if collection_name is None:
+                collection_name = f"file-{file.id}"

-            try:
-                # /files/{file_id}/data/content/update
-                VECTOR_DB_CLIENT.delete_collection(collection_name=f"file-{file.id}")
-            except:
-                # Audio file upload pipeline
-                pass
+            if form_data.content:
+                # Update the content in the file
+                # Usage: /files/{file_id}/data/content/update, /files/ (audio file upload pipeline)

-            docs = [
-                Document(
-                    page_content=form_data.content.replace("<br/>", "\n"),
-                    metadata={
-                        **file.meta,
-                        "name": file.filename,
-                        "created_by": file.user_id,
-                        "file_id": file.id,
-                        "source": file.filename,
-                    },
+                try:
+                    # /files/{file_id}/data/content/update
+                    VECTOR_DB_CLIENT.delete_collection(
+                        collection_name=f"file-{file.id}"
+                    )
+                except:
+                    # Audio file upload pipeline
+                    pass
+
+                docs = [
+                    Document(
+                        page_content=form_data.content.replace("<br/>", "\n"),
+                        metadata={
+                            **file.meta,
+                            "name": file.filename,
+                            "created_by": file.user_id,
+                            "file_id": file.id,
+                            "source": file.filename,
+                        },
+                    )
+                ]
+
+                text_content = form_data.content
+            elif form_data.collection_name:
+                # Check if the file has already been processed and save the content
+                # Usage: /knowledge/{id}/file/add, /knowledge/{id}/file/update
+
+                result = VECTOR_DB_CLIENT.query(
+                    collection_name=f"file-{file.id}", filter={"file_id": file.id}
                )
-            ]

-            text_content = form_data.content
-        elif form_data.collection_name:
-            # Check if the file has already been processed and save the content
-            # Usage: /knowledge/{id}/file/add, /knowledge/{id}/file/update
+                if result is not None and len(result.ids[0]) > 0:
+                    docs = [
+                        Document(
+                            page_content=result.documents[0][idx],
+                            metadata=result.metadatas[0][idx],
+                        )
+                        for idx, id in enumerate(result.ids[0])
+                    ]
+                else:
+                    docs = [
+                        Document(
+                            page_content=file.data.get("content", ""),
+                            metadata={
+                                **file.meta,
+                                "name": file.filename,
+                                "created_by": file.user_id,
+                                "file_id": file.id,
+                                "source": file.filename,
+                            },
+                        )
+                    ]

-            result = VECTOR_DB_CLIENT.query(
-                collection_name=f"file-{file.id}", filter={"file_id": file.id}
+                text_content = file.data.get("content", "")
+            else:
+                # Process the file and save the content
+                # Usage: /files/
+                file_path = file.path
+                if file_path:
+                    file_path = Storage.get_file(file_path)
+                    loader = Loader(
+                        engine=request.app.state.config.CONTENT_EXTRACTION_ENGINE,
+                        user=user,
+                        DATALAB_MARKER_API_KEY=request.app.state.config.DATALAB_MARKER_API_KEY,
+                        DATALAB_MARKER_API_BASE_URL=request.app.state.config.DATALAB_MARKER_API_BASE_URL,
+                        DATALAB_MARKER_ADDITIONAL_CONFIG=request.app.state.config.DATALAB_MARKER_ADDITIONAL_CONFIG,
+                        DATALAB_MARKER_SKIP_CACHE=request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
+                        DATALAB_MARKER_FORCE_OCR=request.app.state.config.DATALAB_MARKER_FORCE_OCR,
+                        DATALAB_MARKER_PAGINATE=request.app.state.config.DATALAB_MARKER_PAGINATE,
+                        DATALAB_MARKER_STRIP_EXISTING_OCR=request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
+                        DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION=request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
+                        DATALAB_MARKER_FORMAT_LINES=request.app.state.config.DATALAB_MARKER_FORMAT_LINES,
+                        DATALAB_MARKER_USE_LLM=request.app.state.config.DATALAB_MARKER_USE_LLM,
+                        DATALAB_MARKER_OUTPUT_FORMAT=request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
+                        EXTERNAL_DOCUMENT_LOADER_URL=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
+                        EXTERNAL_DOCUMENT_LOADER_API_KEY=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
+                        TIKA_SERVER_URL=request.app.state.config.TIKA_SERVER_URL,
+                        DOCLING_SERVER_URL=request.app.state.config.DOCLING_SERVER_URL,
+                        DOCLING_PARAMS={
+                            "do_ocr": request.app.state.config.DOCLING_DO_OCR,
+                            "force_ocr": request.app.state.config.DOCLING_FORCE_OCR,
+                            "ocr_engine": request.app.state.config.DOCLING_OCR_ENGINE,
+                            "ocr_lang": request.app.state.config.DOCLING_OCR_LANG,
+                            "pdf_backend": request.app.state.config.DOCLING_PDF_BACKEND,
+                            "table_mode": request.app.state.config.DOCLING_TABLE_MODE,
+                            "pipeline": request.app.state.config.DOCLING_PIPELINE,
+                            "do_picture_description": request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION,
+                            "picture_description_mode": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE,
+                            "picture_description_local": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL,
+                            "picture_description_api": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API,
+                            **request.app.state.config.DOCLING_PARAMS,
+                        },
+                        PDF_EXTRACT_IMAGES=request.app.state.config.PDF_EXTRACT_IMAGES,
+                        DOCUMENT_INTELLIGENCE_ENDPOINT=request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
+                        DOCUMENT_INTELLIGENCE_KEY=request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
+                        MISTRAL_OCR_API_BASE_URL=request.app.state.config.MISTRAL_OCR_API_BASE_URL,
+                        MISTRAL_OCR_API_KEY=request.app.state.config.MISTRAL_OCR_API_KEY,
+                        MINERU_API_MODE=request.app.state.config.MINERU_API_MODE,
+                        MINERU_API_URL=request.app.state.config.MINERU_API_URL,
+                        MINERU_API_KEY=request.app.state.config.MINERU_API_KEY,
+                        MINERU_PARAMS=request.app.state.config.MINERU_PARAMS,
+                    )
+                    docs = loader.load(
+                        file.filename, file.meta.get("content_type"), file_path
+                    )
+
+                    docs = [
+                        Document(
+                            page_content=doc.page_content,
+                            metadata={
+                                **filter_metadata(doc.metadata),
+                                "name": file.filename,
+                                "created_by": file.user_id,
+                                "file_id": file.id,
+                                "source": file.filename,
+                            },
+                        )
+                        for doc in docs
+                    ]
+                else:
+                    docs = [
+                        Document(
+                            page_content=file.data.get("content", ""),
+                            metadata={
+                                **file.meta,
+                                "name": file.filename,
+                                "created_by": file.user_id,
+                                "file_id": file.id,
+                                "source": file.filename,
+                            },
+                        )
+                    ]
+                text_content = " ".join([doc.page_content for doc in docs])
+
+            log.debug(f"text_content: {text_content}")
+            Files.update_file_data_by_id(
+                file.id,
+                {"content": text_content},
            )
+            hash = calculate_sha256_string(text_content)
+            Files.update_file_hash_by_id(file.id, hash)

-            if result is not None and len(result.ids[0]) > 0:
-                docs = [
-                    Document(
-                        page_content=result.documents[0][idx],
-                        metadata=result.metadatas[0][idx],
-                    )
-                    for idx, id in enumerate(result.ids[0])
-                ]
+            if request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL:
+                Files.update_file_data_by_id(file.id, {"status": "completed"})
+                return {
+                    "status": True,
+                    "collection_name": None,
+                    "filename": file.filename,
+                    "content": text_content,
+                }
            else:
-                docs = [
-                    Document(
-                        page_content=file.data.get("content", ""),
+                try:
+                    result = save_docs_to_vector_db(
+                        request,
+                        docs=docs,
+                        collection_name=collection_name,
                        metadata={
-                            **file.meta,
-                            "name": file.filename,
-                            "created_by": file.user_id,
                            "file_id": file.id,
-                            "source": file.filename,
-                        },
-                    )
-                ]
-
-            text_content = file.data.get("content", "")
-        else:
-            # Process the file and save the content
-            # Usage: /files/
-            file_path = file.path
-            if file_path:
-                file_path = Storage.get_file(file_path)
-                loader = Loader(
-                    engine=request.app.state.config.CONTENT_EXTRACTION_ENGINE,
-                    DATALAB_MARKER_API_KEY=request.app.state.config.DATALAB_MARKER_API_KEY,
-                    DATALAB_MARKER_API_BASE_URL=request.app.state.config.DATALAB_MARKER_API_BASE_URL,
-                    DATALAB_MARKER_ADDITIONAL_CONFIG=request.app.state.config.DATALAB_MARKER_ADDITIONAL_CONFIG,
-                    DATALAB_MARKER_SKIP_CACHE=request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
-                    DATALAB_MARKER_FORCE_OCR=request.app.state.config.DATALAB_MARKER_FORCE_OCR,
-                    DATALAB_MARKER_PAGINATE=request.app.state.config.DATALAB_MARKER_PAGINATE,
-                    DATALAB_MARKER_STRIP_EXISTING_OCR=request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
-                    DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION=request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
-                    DATALAB_MARKER_FORMAT_LINES=request.app.state.config.DATALAB_MARKER_FORMAT_LINES,
-                    DATALAB_MARKER_USE_LLM=request.app.state.config.DATALAB_MARKER_USE_LLM,
-                    DATALAB_MARKER_OUTPUT_FORMAT=request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
-                    EXTERNAL_DOCUMENT_LOADER_URL=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
-                    EXTERNAL_DOCUMENT_LOADER_API_KEY=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
-                    TIKA_SERVER_URL=request.app.state.config.TIKA_SERVER_URL,
-                    DOCLING_SERVER_URL=request.app.state.config.DOCLING_SERVER_URL,
-                    DOCLING_PARAMS={
-                        "ocr_engine": request.app.state.config.DOCLING_OCR_ENGINE,
-                        "ocr_lang": request.app.state.config.DOCLING_OCR_LANG,
-                        "do_picture_description": request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION,
-                        "picture_description_mode": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE,
-                        "picture_description_local": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL,
-                        "picture_description_api": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API,
-                    },
-                    PDF_EXTRACT_IMAGES=request.app.state.config.PDF_EXTRACT_IMAGES,
-                    DOCUMENT_INTELLIGENCE_ENDPOINT=request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
-                    DOCUMENT_INTELLIGENCE_KEY=request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
-                    MISTRAL_OCR_API_KEY=request.app.state.config.MISTRAL_OCR_API_KEY,
-                )
-                docs = loader.load(
-                    file.filename, file.meta.get("content_type"), file_path
-                )
-
-                docs = [
-                    Document(
-                        page_content=doc.page_content,
-                        metadata={
-                            **doc.metadata,
                            "name": file.filename,
-                            "created_by": file.user_id,
-                            "file_id": file.id,
-                            "source": file.filename,
+                            "hash": hash,
                        },
+                        add=(True if form_data.collection_name else False),
+                        user=user,
                    )
-                    for doc in docs
-                ]
-            else:
-                docs = [
-                    Document(
-                        page_content=file.data.get("content", ""),
-                        metadata={
-                            **file.meta,
-                            "name": file.filename,
-                            "created_by": file.user_id,
-                            "file_id": file.id,
-                            "source": file.filename,
-                        },
-                    )
-                ]
-            text_content = " ".join([doc.page_content for doc in docs])
+                    log.info(f"added {len(docs)} items to collection {collection_name}")

-        log.debug(f"text_content: {text_content}")
-        Files.update_file_data_by_id(
-            file.id,
-            {"status": "completed", "content": text_content},
-        )
+                    if result:
+                        Files.update_file_metadata_by_id(
+                            file.id,
+                            {
+                                "collection_name": collection_name,
+                            },
+                        )

-        hash = calculate_sha256_string(text_content)
-        Files.update_file_hash_by_id(file.id, hash)
+                        Files.update_file_data_by_id(
+                            file.id,
+                            {"status": "completed"},
+                        )

-        if not request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL:
-            try:
-                result = save_docs_to_vector_db(
-                    request,
-                    docs=docs,
-                    collection_name=collection_name,
-                    metadata={
-                        "file_id": file.id,
-                        "name": file.filename,
-                        "hash": hash,
-                    },
-                    add=(True if form_data.collection_name else False),
-                    user=user,
-                )
-
-                if result:
-                    Files.update_file_metadata_by_id(
-                        file.id,
-                        {
+                        return {
+                            "status": True,
                            "collection_name": collection_name,
-                        },
-                    )
+                            "filename": file.filename,
+                            "content": text_content,
+                        }
+                    else:
+                        raise Exception("Error saving document to vector database")
+                except Exception as e:
+                    raise e

-                    return {
-                        "status": True,
-                        "collection_name": collection_name,
-                        "filename": file.filename,
-                        "content": text_content,
-                    }
-            except Exception as e:
-                raise e
-        else:
-            return {
-                "status": True,
-                "collection_name": None,
-                "filename": file.filename,
-                "content": text_content,
-            }
+        except Exception as e:
+            log.exception(e)
+            Files.update_file_data_by_id(
+                file.id,
+                {"status": "failed"},
+            )

-    except Exception as e:
-        log.exception(e)
-        if "No pandoc was found" in str(e):
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ERROR_MESSAGES.PANDOC_NOT_INSTALLED,
-            )
-        else:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=str(e),
-            )
+            if "No pandoc was found" in str(e):
+                raise HTTPException(
+                    status_code=status.HTTP_400_BAD_REQUEST,
+                    detail=ERROR_MESSAGES.PANDOC_NOT_INSTALLED,
+                )
+            else:
+                raise HTTPException(
+                    status_code=status.HTTP_400_BAD_REQUEST,
+                    detail=str(e),
+                )
+
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail=ERROR_MESSAGES.NOT_FOUND
+        )


 class ProcessTextForm(BaseModel):
@@ -1599,49 +1766,6 @@ def process_text(


@router.post("/process/youtube")
-def process_youtube_video(
-    request: Request, form_data: ProcessUrlForm, user=Depends(get_verified_user)
-):
-    try:
-        collection_name = form_data.collection_name
-        if not collection_name:
-            collection_name = calculate_sha256_string(form_data.url)[:63]
-
-        loader = YoutubeLoader(
-            form_data.url,
-            language=request.app.state.config.YOUTUBE_LOADER_LANGUAGE,
-            proxy_url=request.app.state.config.YOUTUBE_LOADER_PROXY_URL,
-        )
-
-        docs = loader.load()
-        content = " ".join([doc.page_content for doc in docs])
-        log.debug(f"text_content: {content}")
-
-        save_docs_to_vector_db(
-            request, docs, collection_name, overwrite=True, user=user
-        )
-
-        return {
-            "status": True,
-            "collection_name": collection_name,
-            "filename": form_data.url,
-            "file": {
-                "data": {
-                    "content": content,
-                },
-                "meta": {
-                    "name": form_data.url,
-                },
-            },
-        }
-    except Exception as e:
-        log.exception(e)
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=ERROR_MESSAGES.DEFAULT(e),
-        )
-
-
@router.post("/process/web")
 def process_web(
    request: Request, form_data: ProcessUrlForm, user=Depends(get_verified_user)
@@ -1651,19 +1775,16 @@ def process_web(
        if not collection_name:
            collection_name = calculate_sha256_string(form_data.url)[:63]

-        loader = get_web_loader(
-            form_data.url,
-            verify_ssl=request.app.state.config.ENABLE_WEB_LOADER_SSL_VERIFICATION,
-            requests_per_second=request.app.state.config.WEB_LOADER_CONCURRENT_REQUESTS,
-        )
-        docs = loader.load()
-        content = " ".join([doc.page_content for doc in docs])
-
+        content, docs = get_content_from_url(request, form_data.url)
        log.debug(f"text_content: {content}")

        if not request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL:
            save_docs_to_vector_db(
-                request, docs, collection_name, overwrite=True, user=user
+                request,
+                docs,
+                collection_name,
+                overwrite=True,
+                user=user,
            )
        else:
            collection_name = None
@@ -1714,7 +1835,25 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
    """

    # TODO: add playwright to search the web
-    if engine == "searxng":
+    if engine == "ollama_cloud":
+        return search_ollama_cloud(
+            "https://ollama.com",
+            request.app.state.config.OLLAMA_CLOUD_WEB_SEARCH_API_KEY,
+            query,
+            request.app.state.config.WEB_SEARCH_RESULT_COUNT,
+            request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
+        )
+    elif engine == "perplexity_search":
+        if request.app.state.config.PERPLEXITY_API_KEY:
+            return search_perplexity_search(
+                request.app.state.config.PERPLEXITY_API_KEY,
+                query,
+                request.app.state.config.WEB_SEARCH_RESULT_COUNT,
+                request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
+            )
+        else:
+            raise Exception("No PERPLEXITY_API_KEY found in environment variables")
+    elif engine == "searxng":
        if request.app.state.config.SEARXNG_QUERY_URL:
            return search_searxng(
                request.app.state.config.SEARXNG_QUERY_URL,
@@ -1747,6 +1886,7 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
                query,
                request.app.state.config.WEB_SEARCH_RESULT_COUNT,
                request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
+                referer=request.app.state.config.WEBUI_URL,
            )
        else:
            raise Exception(
@@ -1945,8 +2085,10 @@ async def process_web_search(
 ):

    urls = []
+    result_items = []
+
    try:
-        logging.info(
+        logging.debug(
            f"trying to web search with {request.app.state.config.WEB_SEARCH_ENGINE, form_data.queries}"
        )

@@ -1966,6 +2108,7 @@ async def process_web_search(
            if result:
                for item in result:
                    if item and item.link:
+                        result_items.append(item)
                        urls.append(item.link)

        urls = list(dict.fromkeys(urls))
@@ -1979,6 +2122,12 @@ async def process_web_search(
            detail=ERROR_MESSAGES.WEB_SEARCH_ERROR(e),
        )

+    if len(urls) == 0:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.DEFAULT("No results found from web search"),
+        )
+
    try:
        if request.app.state.config.BYPASS_WEB_SEARCH_WEB_LOADER:
            search_results = [
@@ -2010,12 +2159,16 @@ async def process_web_search(
        urls = [
            doc.metadata.get("source") for doc in docs if doc.metadata.get("source")
        ]  # only keep the urls returned by the loader
+        result_items = [
+            dict(item) for item in result_items if item.link in urls
+        ]  # only keep the search results that have been loaded

        if request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL:
            return {
                "status": True,
                "collection_name": None,
                "filenames": urls,
+                "items": result_items,
                "docs": [
                    {
                        "content": doc.page_content,
@@ -2048,6 +2201,7 @@ async def process_web_search(
            return {
                "status": True,
                "collection_names": [collection_name],
+                "items": result_items,
                "filenames": urls,
                "loaded_count": len(docs),
            }
@@ -2075,7 +2229,9 @@ def query_doc_handler(
    user=Depends(get_verified_user),
 ):
    try:
-        if request.app.state.config.ENABLE_RAG_HYBRID_SEARCH:
+        if request.app.state.config.ENABLE_RAG_HYBRID_SEARCH and (
+            form_data.hybrid is None or form_data.hybrid
+        ):
            collection_results = {}
            collection_results[form_data.collection_name] = VECTOR_DB_CLIENT.get(
                collection_name=form_data.collection_name
@@ -2145,7 +2301,9 @@ def query_collection_handler(
    user=Depends(get_verified_user),
 ):
    try:
-        if request.app.state.config.ENABLE_RAG_HYBRID_SEARCH:
+        if request.app.state.config.ENABLE_RAG_HYBRID_SEARCH and (
+            form_data.hybrid is None or form_data.hybrid
+        ):
            return query_collection_with_hybrid_search(
                collection_names=form_data.collection_names,
                queries=[form_data.query],
@@ -470,6 +470,10 @@ async def generate_queries(
                detail=f"Query generation is disabled",
            )

+    if getattr(request.state, "cached_queries", None):
+        log.info(f"Reusing cached queries: {request.state.cached_queries}")
+        return request.state.cached_queries
+
    if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
        models = {
            request.state.model["id"]: request.state.model,
@@ -4,10 +4,12 @@ from typing import Optional
 import time
 import re
 import aiohttp
+from open_webui.models.groups import Groups
 from pydantic import BaseModel, HttpUrl
 from fastapi import APIRouter, Depends, HTTPException, Request, status


+from open_webui.models.oauth_sessions import OAuthSessions
 from open_webui.models.tools import (
    ToolForm,
    ToolModel,
@@ -15,7 +17,11 @@ from open_webui.models.tools import (
    ToolUserResponse,
    Tools,
 )
-from open_webui.utils.plugin import load_tool_module_by_id, replace_imports
+from open_webui.utils.plugin import (
+    load_tool_module_by_id,
+    replace_imports,
+    get_tool_module_from_cache,
+)
 from open_webui.utils.tools import get_tool_specs
 from open_webui.utils.auth import get_admin_user, get_verified_user
 from open_webui.utils.access_control import has_access, has_permission
@@ -33,6 +39,14 @@ log.setLevel(SRC_LOG_LEVELS["MAIN"])
 router = APIRouter()


+def get_tool_module(request, tool_id, load_from_db=True):
+    """
+    Get the tool module by its ID.
+    """
+    tool_module, _ = get_tool_module_from_cache(request, tool_id, load_from_db)
+    return tool_module
+
+
 ############################
 # GetTools
 ############################
@@ -40,8 +54,21 @@ router = APIRouter()

@router.get("/", response_model=list[ToolUserResponse])
 async def get_tools(request: Request, user=Depends(get_verified_user)):
-    tools = Tools.get_tools()
+    tools = []

+    # Local Tools
+    for tool in Tools.get_tools():
+        tool_module = get_tool_module(request, tool.id)
+        tools.append(
+            ToolUserResponse(
+                **{
+                    **tool.model_dump(),
+                    "has_user_valves": hasattr(tool_module, "UserValves"),
+                }
+            )
+        )
+
+    # OpenAPI Tool Servers
    for server in await get_tool_servers(request):
        tools.append(
            ToolUserResponse(
@@ -67,15 +94,60 @@ async def get_tools(request: Request, user=Depends(get_verified_user)):
            )
        )

+    # MCP Tool Servers
+    for server in request.app.state.config.TOOL_SERVER_CONNECTIONS:
+        if server.get("type", "openapi") == "mcp":
+            server_id = server.get("info", {}).get("id")
+            auth_type = server.get("auth_type", "none")
+
+            session_token = None
+            if auth_type == "oauth_2.1":
+                splits = server_id.split(":")
+                server_id = splits[-1] if len(splits) > 1 else server_id
+
+                session_token = (
+                    await request.app.state.oauth_client_manager.get_oauth_token(
+                        user.id, f"mcp:{server_id}"
+                    )
+                )
+
+            tools.append(
+                ToolUserResponse(
+                    **{
+                        "id": f"server:mcp:{server.get('info', {}).get('id')}",
+                        "user_id": f"server:mcp:{server.get('info', {}).get('id')}",
+                        "name": server.get("info", {}).get("name", "MCP Tool Server"),
+                        "meta": {
+                            "description": server.get("info", {}).get(
+                                "description", ""
+                            ),
+                        },
+                        "access_control": server.get("config", {}).get(
+                            "access_control", None
+                        ),
+                        "updated_at": int(time.time()),
+                        "created_at": int(time.time()),
+                        **(
+                            {
+                                "authenticated": session_token is not None,
+                            }
+                            if auth_type == "oauth_2.1"
+                            else {}
+                        ),
+                    }
+                )
+            )
+
    if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
        # Admin can see all tools
        return tools
    else:
+        user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user.id)}
        tools = [
            tool
            for tool in tools
            if tool.user_id == user.id
-            or has_access(user.id, "read", tool.access_control)
+            or has_access(user.id, "read", tool.access_control, user_group_ids)
        ]
        return tools

@@ -460,8 +532,9 @@ async def update_tools_valves_by_id(
    try:
        form_data = {k: v for k, v in form_data.items() if v is not None}
        valves = Valves(**form_data)
-        Tools.update_tool_valves_by_id(id, valves.model_dump())
-        return valves.model_dump()
+        valves_dict = valves.model_dump(exclude_unset=True)
+        Tools.update_tool_valves_by_id(id, valves_dict)
+        return valves_dict
    except Exception as e:
        log.exception(f"Failed to update tool valves by id {id}: {e}")
        raise HTTPException(
@@ -536,10 +609,11 @@ async def update_tools_user_valves_by_id(
            try:
                form_data = {k: v for k, v in form_data.items() if v is not None}
                user_valves = UserValves(**form_data)
+                user_valves_dict = user_valves.model_dump(exclude_unset=True)
                Tools.update_user_valves_by_id_and_user_id(
-                    id, user.id, user_valves.model_dump()
+                    id, user.id, user_valves_dict
                )
-                return user_valves.model_dump()
+                return user_valves_dict
            except Exception as e:
                log.exception(f"Failed to update user valves by id {id}: {e}")
                raise HTTPException(
@@ -10,12 +10,15 @@ from pydantic import BaseModel


 from open_webui.models.auths import Auths
+from open_webui.models.oauth_sessions import OAuthSessions
+
 from open_webui.models.groups import Groups
 from open_webui.models.chats import Chats
 from open_webui.models.users import (
    UserModel,
    UserListResponse,
    UserInfoListResponse,
+    UserIdNameListResponse,
    UserRoleUpdateForm,
    Users,
    UserSettings,
@@ -98,6 +101,23 @@ async def get_all_users(
    return Users.get_users()


+@router.get("/search", response_model=UserIdNameListResponse)
+async def search_users(
+    query: Optional[str] = None,
+    user=Depends(get_verified_user),
+):
+    limit = PAGE_ITEM_COUNT
+
+    page = 1  # Always return the first page for search
+    skip = (page - 1) * limit
+
+    filter = {}
+    if query:
+        filter["query"] = query
+
+    return Users.get_users(filter=filter, skip=skip, limit=limit)
+
+
 ############################
 # User Groups
 ############################
@@ -137,6 +157,7 @@ class SharingPermissions(BaseModel):
    public_knowledge: bool = True
    public_prompts: bool = True
    public_tools: bool = True
+    public_notes: bool = True


 class ChatPermissions(BaseModel):
@@ -146,6 +167,10 @@ class ChatPermissions(BaseModel):
    params: bool = True
    file_upload: bool = True
    delete: bool = True
+    delete_message: bool = True
+    continue_response: bool = True
+    regenerate_response: bool = True
+    rate_response: bool = True
    edit: bool = True
    share: bool = True
    export: bool = True
@@ -336,6 +361,18 @@ async def get_user_by_id(user_id: str, user=Depends(get_verified_user)):
        )


+@router.get("/{user_id}/oauth/sessions")
+async def get_user_oauth_sessions_by_id(user_id: str, user=Depends(get_admin_user)):
+    sessions = OAuthSessions.get_sessions_by_user_id(user_id)
+    if sessions and len(sessions) > 0:
+        return sessions
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.USER_NOT_FOUND,
+        )
+
+
 ############################
 # GetUserProfileImageById
 ############################
@@ -18,7 +18,12 @@ from open_webui.utils.redis import (
    get_sentinel_url_from_env,
 )

+from open_webui.config import (
+    CORS_ALLOW_ORIGIN,
+)
+
 from open_webui.env import (
+    VERSION,
    ENABLE_WEBSOCKET_SUPPORT,
    WEBSOCKET_MANAGER,
    WEBSOCKET_REDIS_URL,
@@ -48,6 +53,9 @@ log.setLevel(SRC_LOG_LEVELS["SOCKET"])

 REDIS = None

+# Configure CORS for Socket.IO
+SOCKETIO_CORS_ORIGINS = "*" if CORS_ALLOW_ORIGIN == ["*"] else CORS_ALLOW_ORIGIN
+
 if WEBSOCKET_MANAGER == "redis":
    if WEBSOCKET_SENTINEL_HOSTS:
        mgr = socketio.AsyncRedisManager(
@@ -58,7 +66,7 @@ if WEBSOCKET_MANAGER == "redis":
    else:
        mgr = socketio.AsyncRedisManager(WEBSOCKET_REDIS_URL)
    sio = socketio.AsyncServer(
-        cors_allowed_origins=[],
+        cors_allowed_origins=SOCKETIO_CORS_ORIGINS,
        async_mode="asgi",
        transports=(["websocket"] if ENABLE_WEBSOCKET_SUPPORT else ["polling"]),
        allow_upgrades=ENABLE_WEBSOCKET_SUPPORT,
@@ -67,7 +75,7 @@ if WEBSOCKET_MANAGER == "redis":
    )
 else:
    sio = socketio.AsyncServer(
-        cors_allowed_origins=[],
+        cors_allowed_origins=SOCKETIO_CORS_ORIGINS,
        async_mode="asgi",
        transports=(["websocket"] if ENABLE_WEBSOCKET_SUPPORT else ["polling"]),
        allow_upgrades=ENABLE_WEBSOCKET_SUPPORT,
@@ -115,7 +123,7 @@ if WEBSOCKET_MANAGER == "redis":

    clean_up_lock = RedisLock(
        redis_url=WEBSOCKET_REDIS_URL,
-        lock_name="usage_cleanup_lock",
+        lock_name=f"{REDIS_KEY_PREFIX}:usage_cleanup_lock",
        timeout_secs=WEBSOCKET_REDIS_LOCK_TIMEOUT,
        redis_sentinels=redis_sentinels,
        redis_cluster=WEBSOCKET_REDIS_CLUSTER,
@@ -356,7 +364,7 @@ async def join_note(sid, data):
    await sio.enter_room(sid, f"note:{note.id}")


-@sio.on("channel-events")
+@sio.on("events:channel")
 async def channel_events(sid, data):
    room = f"channel:{data['channel_id']}"
    participants = sio.manager.get_participants(
@@ -373,7 +381,7 @@ async def channel_events(sid, data):

    if event_type == "typing":
        await sio.emit(
-            "channel-events",
+            "events:channel",
            {
                "channel_id": data["channel_id"],
                "message_id": data.get("message_id", None),
@@ -653,12 +661,15 @@ def get_event_emitter(request_info, update_db=True):
            )
        )

+        chat_id = request_info.get("chat_id", None)
+        message_id = request_info.get("message_id", None)
+
        emit_tasks = [
            sio.emit(
-                "chat-events",
+                "events",
                {
-                    "chat_id": request_info.get("chat_id", None),
-                    "message_id": request_info.get("message_id", None),
+                    "chat_id": chat_id,
+                    "message_id": message_id,
                    "data": event_data,
                },
                to=session_id,
@@ -667,8 +678,11 @@ def get_event_emitter(request_info, update_db=True):
        ]

        await asyncio.gather(*emit_tasks)
-
-        if update_db:
+        if (
+            update_db
+            and message_id
+            and not request_info.get("chat_id", "").startswith("local:")
+        ):
            if "type" in event_data and event_data["type"] == "status":
                Chats.add_message_status_to_chat_by_id_and_message_id(
                    request_info["chat_id"],
@@ -705,13 +719,66 @@ def get_event_emitter(request_info, update_db=True):
                    },
                )

+            if "type" in event_data and event_data["type"] == "embeds":
+                message = Chats.get_message_by_id_and_message_id(
+                    request_info["chat_id"],
+                    request_info["message_id"],
+                )
+
+                embeds = event_data.get("data", {}).get("embeds", [])
+                embeds.extend(message.get("embeds", []))
+
+                Chats.upsert_message_to_chat_by_id_and_message_id(
+                    request_info["chat_id"],
+                    request_info["message_id"],
+                    {
+                        "embeds": embeds,
+                    },
+                )
+
+            if "type" in event_data and event_data["type"] == "files":
+                message = Chats.get_message_by_id_and_message_id(
+                    request_info["chat_id"],
+                    request_info["message_id"],
+                )
+
+                files = event_data.get("data", {}).get("files", [])
+                files.extend(message.get("files", []))
+
+                Chats.upsert_message_to_chat_by_id_and_message_id(
+                    request_info["chat_id"],
+                    request_info["message_id"],
+                    {
+                        "files": files,
+                    },
+                )
+
+            if event_data.get("type") in ["source", "citation"]:
+                data = event_data.get("data", {})
+                if data.get("type") == None:
+                    message = Chats.get_message_by_id_and_message_id(
+                        request_info["chat_id"],
+                        request_info["message_id"],
+                    )
+
+                    sources = message.get("sources", [])
+                    sources.append(data)
+
+                    Chats.upsert_message_to_chat_by_id_and_message_id(
+                        request_info["chat_id"],
+                        request_info["message_id"],
+                        {
+                            "sources": sources,
+                        },
+                    )
+
    return __event_emitter__


 def get_event_call(request_info):
    async def __event_caller__(event_data):
        response = await sio.call(
-            "chat-events",
+            "events",
            {
                "chat_id": request_info.get("chat_id", None),
                "message_id": request_info.get("message_id", None),
@@ -153,9 +153,9 @@ async def stop_task(redis, task_id: str):
        # Optionally check if task_id still in Redis a few moments later for feedback?
        return {"status": True, "message": f"Stop signal sent for {task_id}"}

-    task = tasks.pop(task_id)
+    task = tasks.pop(task_id, None)
    if not task:
-        raise ValueError(f"Task with ID {task_id} not found.")
+        return {"status": False, "message": f"Task with ID {task_id} not found."}

    task.cancel()  # Request task cancellation
    try:
@@ -164,7 +164,10 @@ async def stop_task(redis, task_id: str):
        # Task successfully canceled
        return {"status": True, "message": f"Task {task_id} successfully stopped."}

-    return {"status": False, "message": f"Failed to stop task {task_id}."}
+    if task.cancelled() or task.done():
+        return {"status": True, "message": f"Task {task_id} successfully cancelled."}
+
+    return {"status": True, "message": f"Cancellation requested for {task_id}."}


 async def stop_item_tasks(redis: Redis, item_id: str):
@@ -1,4 +1,4 @@
-from typing import Optional, Union, List, Dict, Any
+from typing import Optional, Set, Union, List, Dict, Any
 from open_webui.models.users import Users, UserModel
 from open_webui.models.groups import Groups

@@ -109,12 +109,19 @@ def has_access(
    user_id: str,
    type: str = "write",
    access_control: Optional[dict] = None,
+    user_group_ids: Optional[Set[str]] = None,
+    strict: bool = True,
 ) -> bool:
    if access_control is None:
-        return type == "read"
+        if strict:
+            return type == "read"
+        else:
+            return True
+
+    if user_group_ids is None:
+        user_groups = Groups.get_groups_by_member_id(user_id)
+        user_group_ids = {group.id for group in user_groups}

-    user_groups = Groups.get_groups_by_member_id(user_id)
-    user_group_ids = [group.id for group in user_groups]
    permission_access = access_control.get(type, {})
    permitted_group_ids = permission_access.get("group_ids", [])
    permitted_user_ids = permission_access.get("user_ids", [])
@@ -127,9 +134,10 @@ def has_access(
 # Get all users with access to a resource
 def get_users_with_access(
    type: str = "write", access_control: Optional[dict] = None
-) -> List[UserModel]:
+) -> list[UserModel]:
    if access_control is None:
-        return Users.get_users()
+        result = Users.get_users()
+        return result.get("users", [])

    permission_access = access_control.get(type, {})
    permitted_group_ids = permission_access.get("group_ids", [])
@@ -6,7 +6,7 @@ import hmac
 import hashlib
 import requests
 import os
-
+import bcrypt

 from cryptography.hazmat.primitives.ciphers.aead import AESGCM
 from cryptography.hazmat.primitives.asymmetric import ed25519
@@ -38,11 +38,8 @@ from open_webui.env import (

 from fastapi import BackgroundTasks, Depends, HTTPException, Request, Response, status
 from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
-from passlib.context import CryptContext


-logging.getLogger("passlib").setLevel(logging.ERROR)
-
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["OAUTH"])

@@ -155,19 +152,25 @@ def get_license_data(app, key):


 bearer_security = HTTPBearer(auto_error=False)
-pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")


-def verify_password(plain_password, hashed_password):
+def get_password_hash(password: str) -> str:
+    """Hash a password using bcrypt"""
+    return bcrypt.hashpw(password.encode("utf-8"), bcrypt.gensalt()).decode("utf-8")
+
+
+def verify_password(plain_password: str, hashed_password: str) -> bool:
+    """Verify a password against its hash"""
    return (
-        pwd_context.verify(plain_password, hashed_password) if hashed_password else None
+        bcrypt.checkpw(
+            plain_password.encode("utf-8"),
+            hashed_password.encode("utf-8"),
+        )
+        if hashed_password
+        else None
    )


-def get_password_hash(password):
-    return pwd_context.hash(password)
-
-
 def create_token(data: dict, expires_delta: Union[timedelta, None] = None) -> str:
    payload = data.copy()

@@ -261,55 +264,67 @@ def get_current_user(
        return user

    # auth by jwt token
-    try:
-        data = decode_token(token)
-    except Exception as e:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail="Invalid token",
-        )

-    if data is not None and "id" in data:
-        user = Users.get_user_by_id(data["id"])
-        if user is None:
+    try:
+        try:
+            data = decode_token(token)
+        except Exception as e:
            raise HTTPException(
                status_code=status.HTTP_401_UNAUTHORIZED,
-                detail=ERROR_MESSAGES.INVALID_TOKEN,
+                detail="Invalid token",
            )
-        else:
-            if WEBUI_AUTH_TRUSTED_EMAIL_HEADER:
-                trusted_email = request.headers.get(
-                    WEBUI_AUTH_TRUSTED_EMAIL_HEADER, ""
-                ).lower()
-                if trusted_email and user.email != trusted_email:
-                    # Delete the token cookie
-                    response.delete_cookie("token")
-                    # Delete OAuth token if present
-                    if request.cookies.get("oauth_id_token"):
-                        response.delete_cookie("oauth_id_token")
-                    raise HTTPException(
-                        status_code=status.HTTP_401_UNAUTHORIZED,
-                        detail="User mismatch. Please sign in again.",
+
+        if data is not None and "id" in data:
+            user = Users.get_user_by_id(data["id"])
+            if user is None:
+                raise HTTPException(
+                    status_code=status.HTTP_401_UNAUTHORIZED,
+                    detail=ERROR_MESSAGES.INVALID_TOKEN,
+                )
+            else:
+                if WEBUI_AUTH_TRUSTED_EMAIL_HEADER:
+                    trusted_email = request.headers.get(
+                        WEBUI_AUTH_TRUSTED_EMAIL_HEADER, ""
+                    ).lower()
+                    if trusted_email and user.email != trusted_email:
+                        raise HTTPException(
+                            status_code=status.HTTP_401_UNAUTHORIZED,
+                            detail="User mismatch. Please sign in again.",
+                        )
+
+                # Add user info to current span
+                current_span = trace.get_current_span()
+                if current_span:
+                    current_span.set_attribute("client.user.id", user.id)
+                    current_span.set_attribute("client.user.email", user.email)
+                    current_span.set_attribute("client.user.role", user.role)
+                    current_span.set_attribute("client.auth.type", "jwt")
+
+                # Refresh the user's last active timestamp asynchronously
+                # to prevent blocking the request
+                if background_tasks:
+                    background_tasks.add_task(
+                        Users.update_user_last_active_by_id, user.id
                    )
+            return user
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_401_UNAUTHORIZED,
+                detail=ERROR_MESSAGES.UNAUTHORIZED,
+            )
+    except Exception as e:
+        # Delete the token cookie
+        if request.cookies.get("token"):
+            response.delete_cookie("token")

-            # Add user info to current span
-            current_span = trace.get_current_span()
-            if current_span:
-                current_span.set_attribute("client.user.id", user.id)
-                current_span.set_attribute("client.user.email", user.email)
-                current_span.set_attribute("client.user.role", user.role)
-                current_span.set_attribute("client.auth.type", "jwt")
+        if request.cookies.get("oauth_id_token"):
+            response.delete_cookie("oauth_id_token")

-            # Refresh the user's last active timestamp asynchronously
-            # to prevent blocking the request
-            if background_tasks:
-                background_tasks.add_task(Users.update_user_last_active_by_id, user.id)
-        return user
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail=ERROR_MESSAGES.UNAUTHORIZED,
-        )
+        # Delete OAuth session if present
+        if request.cookies.get("oauth_session_id"):
+            response.delete_cookie("oauth_session_id")
+
+        raise e


 def get_current_user_by_api_key(api_key: str):
@@ -0,0 +1,31 @@
+import re
+
+
+def extract_mentions(message: str, triggerChar: str = "@"):
+    # Escape triggerChar in case it's a regex special character
+    triggerChar = re.escape(triggerChar)
+    pattern = rf"<{triggerChar}([A-Z]):([^|>]+)"
+
+    matches = re.findall(pattern, message)
+    return [{"id_type": id_type, "id": id_value} for id_type, id_value in matches]
+
+
+def replace_mentions(message: str, triggerChar: str = "@", use_label: bool = True):
+    """
+    Replace mentions in the message with either their label (after the pipe `|`)
+    or their id if no label exists.
+
+    Example:
+      "<@M:gpt-4.1|GPT-4>" -> "GPT-4"   (if use_label=True)
+      "<@M:gpt-4.1|GPT-4>" -> "gpt-4.1" (if use_label=False)
+    """
+    # Escape triggerChar
+    triggerChar = re.escape(triggerChar)
+
+    def replacer(match):
+        id_type, id_value, label = match.groups()
+        return label if use_label and label else id_value
+
+    # Regex captures: idType, id, optional label
+    pattern = rf"<{triggerChar}([A-Z]):([^|>]+)(?:\|([^>]+))?>"
+    return re.sub(pattern, replacer, message)
@@ -80,6 +80,7 @@ async def generate_direct_chat_completion(
    event_caller = get_event_call(metadata)

    channel = f"{user_id}:{session_id}:{request_id}"
+    logging.info(f"WebSocket channel: {channel}")

    if form_data.get("stream"):
        q = asyncio.Queue()
@@ -121,7 +122,10 @@ async def generate_direct_chat_completion(

                            yield f"data: {json.dumps(data)}\n\n"
                        elif isinstance(data, str):
-                            yield data
+                            if "data:" in data:
+                                yield f"{data}\n\n"
+                            else:
+                                yield f"data: {data}\n\n"
                except Exception as e:
                    log.debug(f"Error in event generator: {e}")
                    pass
@@ -0,0 +1,97 @@
+from open_webui.routers.images import (
+    get_image_data,
+    upload_image,
+)
+
+from fastapi import (
+    APIRouter,
+    Depends,
+    HTTPException,
+    Request,
+    UploadFile,
+)
+
+from open_webui.routers.files import upload_file_handler
+
+import mimetypes
+import base64
+import io
+
+
+def get_image_url_from_base64(request, base64_image_string, metadata, user):
+    if "data:image/png;base64" in base64_image_string:
+        image_url = ""
+        # Extract base64 image data from the line
+        image_data, content_type = get_image_data(base64_image_string)
+        if image_data is not None:
+            image_url = upload_image(
+                request,
+                image_data,
+                content_type,
+                metadata,
+                user,
+            )
+        return image_url
+    return None
+
+
+def load_b64_audio_data(b64_str):
+    try:
+        if "," in b64_str:
+            header, b64_data = b64_str.split(",", 1)
+        else:
+            b64_data = b64_str
+            header = "data:audio/wav;base64"
+        audio_data = base64.b64decode(b64_data)
+        content_type = (
+            header.split(";")[0].split(":")[1] if ";" in header else "audio/wav"
+        )
+        return audio_data, content_type
+    except Exception as e:
+        print(f"Error decoding base64 audio data: {e}")
+        return None, None
+
+
+def upload_audio(request, audio_data, content_type, metadata, user):
+    audio_format = mimetypes.guess_extension(content_type)
+    file = UploadFile(
+        file=io.BytesIO(audio_data),
+        filename=f"generated-{audio_format}",  # will be converted to a unique ID on upload_file
+        headers={
+            "content-type": content_type,
+        },
+    )
+    file_item = upload_file_handler(
+        request,
+        file=file,
+        metadata=metadata,
+        process=False,
+        user=user,
+    )
+    url = request.app.url_path_for("get_file_content_by_id", id=file_item.id)
+    return url
+
+
+def get_audio_url_from_base64(request, base64_audio_string, metadata, user):
+    if "data:audio/wav;base64" in base64_audio_string:
+        audio_url = ""
+        # Extract base64 audio data from the line
+        audio_data, content_type = load_b64_audio_data(base64_audio_string)
+        if audio_data is not None:
+            audio_url = upload_audio(
+                request,
+                audio_data,
+                content_type,
+                metadata,
+                user,
+            )
+        return audio_url
+    return None
+
+
+def get_file_url_from_base64(request, base64_file_string, metadata, user):
+    if "data:image/png;base64" in base64_file_string:
+        return get_image_url_from_base64(request, base64_file_string, metadata, user)
+    elif "data:audio/wav;base64" in base64_file_string:
+        return get_audio_url_from_base64(request, base64_file_string, metadata, user)
+    return None
@@ -127,8 +127,10 @@ async def process_filter_functions(
            raise e

    # Handle file cleanup for inlet
-    if skip_files and "files" in form_data.get("metadata", {}):
-        del form_data["files"]
-        del form_data["metadata"]["files"]
+    if skip_files:
+        if "files" in form_data.get("metadata", {}):
+            del form_data["metadata"]["files"]
+        if "files" in form_data:
+            del form_data["files"]

    return form_data, {}
@@ -0,0 +1,11 @@
+from urllib.parse import quote
+
+
+def include_user_info_headers(headers, user):
+    return {
+        **headers,
+        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
+        "X-OpenWebUI-User-Id": user.id,
+        "X-OpenWebUI-User-Email": user.email,
+        "X-OpenWebUI-User-Role": user.role,
+    }
@@ -2,6 +2,8 @@ import asyncio
 import json
 import logging
 import random
+import requests
+import aiohttp
 import urllib.parse
 import urllib.request
 from typing import Optional
@@ -91,6 +93,25 @@ def get_images(ws, prompt, client_id, base_url, api_key):
    return {"data": output_images}


+async def comfyui_upload_image(image_file_item, base_url, api_key):
+    url = f"{base_url}/api/upload/image"
+    headers = {}
+
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
+
+    _, (filename, file_bytes, mime_type) = image_file_item
+
+    form = aiohttp.FormData()
+    form.add_field("image", file_bytes, filename=filename, content_type=mime_type)
+    form.add_field("type", "input")  # required by ComfyUI
+
+    async with aiohttp.ClientSession() as session:
+        async with session.post(url, data=form, headers=headers) as resp:
+            resp.raise_for_status()
+            return await resp.json()
+
+
 class ComfyUINodeInput(BaseModel):
    type: Optional[str] = None
    node_ids: list[str] = []
@@ -103,7 +124,7 @@ class ComfyUIWorkflow(BaseModel):
    nodes: list[ComfyUINodeInput]


-class ComfyUIGenerateImageForm(BaseModel):
+class ComfyUICreateImageForm(BaseModel):
    workflow: ComfyUIWorkflow

    prompt: str
@@ -116,8 +137,8 @@ class ComfyUIGenerateImageForm(BaseModel):
    seed: Optional[int] = None


-async def comfyui_generate_image(
-    model: str, payload: ComfyUIGenerateImageForm, client_id, base_url, api_key
+async def comfyui_create_image(
+    model: str, payload: ComfyUICreateImageForm, client_id, base_url, api_key
 ):
    ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
    workflow = json.loads(payload.workflow.workflow)
@@ -191,3 +212,102 @@ async def comfyui_generate_image(
    ws.close()

    return images
+
+
+class ComfyUIEditImageForm(BaseModel):
+    workflow: ComfyUIWorkflow
+
+    image: str | list[str]
+    prompt: str
+    width: Optional[int] = None
+    height: Optional[int] = None
+    n: Optional[int] = None
+
+    steps: Optional[int] = None
+    seed: Optional[int] = None
+
+
+async def comfyui_edit_image(
+    model: str, payload: ComfyUIEditImageForm, client_id, base_url, api_key
+):
+    ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
+    workflow = json.loads(payload.workflow.workflow)
+
+    for node in payload.workflow.nodes:
+        if node.type:
+            if node.type == "model":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][node.key] = model
+            elif node.type == "image":
+                if isinstance(payload.image, list):
+                    # check if multiple images are provided
+                    for idx, node_id in enumerate(node.node_ids):
+                        if idx < len(payload.image):
+                            workflow[node_id]["inputs"][node.key] = payload.image[idx]
+                else:
+                    for node_id in node.node_ids:
+                        workflow[node_id]["inputs"][node.key] = payload.image
+            elif node.type == "prompt":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][
+                        node.key if node.key else "text"
+                    ] = payload.prompt
+            elif node.type == "negative_prompt":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][
+                        node.key if node.key else "text"
+                    ] = payload.negative_prompt
+            elif node.type == "width":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][
+                        node.key if node.key else "width"
+                    ] = payload.width
+            elif node.type == "height":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][
+                        node.key if node.key else "height"
+                    ] = payload.height
+            elif node.type == "n":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][
+                        node.key if node.key else "batch_size"
+                    ] = payload.n
+            elif node.type == "steps":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][
+                        node.key if node.key else "steps"
+                    ] = payload.steps
+            elif node.type == "seed":
+                seed = (
+                    payload.seed
+                    if payload.seed
+                    else random.randint(0, 1125899906842624)
+                )
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][node.key] = seed
+        else:
+            for node_id in node.node_ids:
+                workflow[node_id]["inputs"][node.key] = node.value
+
+    try:
+        ws = websocket.WebSocket()
+        headers = {"Authorization": f"Bearer {api_key}"}
+        ws.connect(f"{ws_url}/ws?clientId={client_id}", header=headers)
+        log.info("WebSocket connection established.")
+    except Exception as e:
+        log.exception(f"Failed to connect to WebSocket server: {e}")
+        return None
+
+    try:
+        log.info("Sending workflow to WebSocket server.")
+        log.info(f"Workflow: {workflow}")
+        images = await asyncio.to_thread(
+            get_images, ws, workflow, client_id, base_url, api_key
+        )
+    except Exception as e:
+        log.exception(f"Error while receiving images: {e}")
+        images = None
+
+    ws.close()
+
+    return images
@@ -0,0 +1,115 @@
+import asyncio
+from typing import Optional
+from contextlib import AsyncExitStack
+
+import anyio
+
+from mcp import ClientSession
+from mcp.client.auth import OAuthClientProvider, TokenStorage
+from mcp.client.streamable_http import streamablehttp_client
+from mcp.shared.auth import OAuthClientInformationFull, OAuthClientMetadata, OAuthToken
+
+
+class MCPClient:
+    def __init__(self):
+        self.session: Optional[ClientSession] = None
+        self.exit_stack = None
+
+    async def connect(self, url: str, headers: Optional[dict] = None):
+        async with AsyncExitStack() as exit_stack:
+            try:
+                self._streams_context = streamablehttp_client(url, headers=headers)
+
+                transport = await exit_stack.enter_async_context(self._streams_context)
+                read_stream, write_stream, _ = transport
+
+                self._session_context = ClientSession(
+                    read_stream, write_stream
+                )  # pylint: disable=W0201
+
+                self.session = await exit_stack.enter_async_context(
+                    self._session_context
+                )
+                with anyio.fail_after(10):
+                    await self.session.initialize()
+                self.exit_stack = exit_stack.pop_all()
+            except Exception as e:
+                await asyncio.shield(self.disconnect())
+                raise e
+
+    async def list_tool_specs(self) -> Optional[dict]:
+        if not self.session:
+            raise RuntimeError("MCP client is not connected.")
+
+        result = await self.session.list_tools()
+        tools = result.tools
+
+        tool_specs = []
+        for tool in tools:
+            name = tool.name
+            description = tool.description
+
+            inputSchema = tool.inputSchema
+
+            # TODO: handle outputSchema if needed
+            outputSchema = getattr(tool, "outputSchema", None)
+
+            tool_specs.append(
+                {"name": name, "description": description, "parameters": inputSchema}
+            )
+
+        return tool_specs
+
+    async def call_tool(
+        self, function_name: str, function_args: dict
+    ) -> Optional[dict]:
+        if not self.session:
+            raise RuntimeError("MCP client is not connected.")
+
+        result = await self.session.call_tool(function_name, function_args)
+        if not result:
+            raise Exception("No result returned from MCP tool call.")
+
+        result_dict = result.model_dump(mode="json")
+        result_content = result_dict.get("content", {})
+
+        if result.isError:
+            raise Exception(result_content)
+        else:
+            return result_content
+
+    async def list_resources(self, cursor: Optional[str] = None) -> Optional[dict]:
+        if not self.session:
+            raise RuntimeError("MCP client is not connected.")
+
+        result = await self.session.list_resources(cursor=cursor)
+        if not result:
+            raise Exception("No result returned from MCP list_resources call.")
+
+        result_dict = result.model_dump()
+        resources = result_dict.get("resources", [])
+
+        return resources
+
+    async def read_resource(self, uri: str) -> Optional[dict]:
+        if not self.session:
+            raise RuntimeError("MCP client is not connected.")
+
+        result = await self.session.read_resource(uri)
+        if not result:
+            raise Exception("No result returned from MCP read_resource call.")
+        result_dict = result.model_dump()
+
+        return result_dict
+
+    async def disconnect(self):
+        # Clean up and close the session
+        await self.exit_stack.aclose()
+
+    async def __aenter__(self):
+        await self.exit_stack.__aenter__()
+        return self
+
+    async def __aexit__(self, exc_type, exc_value, traceback):
+        await self.exit_stack.__aexit__(exc_type, exc_value, traceback)
+        await self.disconnect()
@@ -26,7 +26,7 @@ def deep_update(d, u):
    return d


-def get_message_list(messages, message_id):
+def get_message_list(messages_map, message_id):
    """
    Reconstructs a list of messages in order up to the specified message_id.

@@ -36,11 +36,11 @@ def get_message_list(messages, message_id):
    """

    # Handle case where messages is None
-    if not messages:
+    if not messages_map:
        return []  # Return empty list instead of None to prevent iteration errors

    # Find the message by its id
-    current_message = messages.get(message_id)
+    current_message = messages_map.get(message_id)

    if not current_message:
        return []  # Return empty list instead of None to prevent iteration errors
@@ -53,7 +53,7 @@ def get_message_list(messages, message_id):
            0, current_message
        )  # Insert the message at the beginning of the list
        parent_id = current_message.get("parentId")  # Use .get() for safety
-        current_message = messages.get(parent_id) if parent_id else None
+        current_message = messages_map.get(parent_id) if parent_id else None

    return message_list

@@ -120,17 +120,26 @@ def pop_system_message(messages: list[dict]) -> tuple[Optional[dict], list[dict]
    return get_system_message(messages), remove_system_message(messages)


-def prepend_to_first_user_message_content(
-    content: str, messages: list[dict]
-) -> list[dict]:
+def update_message_content(message: dict, content: str, append: bool = True) -> dict:
+    if isinstance(message["content"], list):
+        for item in message["content"]:
+            if item["type"] == "text":
+                if append:
+                    item["text"] = f"{item['text']}\n{content}"
+                else:
+                    item["text"] = f"{content}\n{item['text']}"
+    else:
+        if append:
+            message["content"] = f"{message['content']}\n{content}"
+        else:
+            message["content"] = f"{content}\n{message['content']}"
+    return message
+
+
+def replace_system_message_content(content: str, messages: list[dict]) -> dict:
    for message in messages:
-        if message["role"] == "user":
-            if isinstance(message["content"], list):
-                for item in message["content"]:
-                    if item["type"] == "text":
-                        item["text"] = f"{content}\n{item['text']}"
-            else:
-                message["content"] = f"{content}\n{message['content']}"
+        if message["role"] == "system":
+            message["content"] = content
            break
    return messages

@@ -148,10 +157,7 @@ def add_or_update_system_message(
    """

    if messages and messages[0].get("role") == "system":
-        if append:
-            messages[0]["content"] = f"{messages[0]['content']}\n{content}"
-        else:
-            messages[0]["content"] = f"{content}\n{messages[0]['content']}"
+        messages[0] = update_message_content(messages[0], content, append)
    else:
        # Insert at the beginning
        messages.insert(0, {"role": "system", "content": content})
@@ -159,7 +165,7 @@ def add_or_update_system_message(
    return messages


-def add_or_update_user_message(content: str, messages: list[dict]):
+def add_or_update_user_message(content: str, messages: list[dict], append: bool = True):
    """
    Adds a new user message at the end of the messages list
    or updates the existing user message at the end.
@@ -170,7 +176,7 @@ def add_or_update_user_message(content: str, messages: list[dict]):
    """

    if messages and messages[-1].get("role") == "user":
-        messages[-1]["content"] = f"{messages[-1]['content']}\n{content}"
+        messages[-1] = update_message_content(messages[-1], content, append)
    else:
        # Insert at the end
        messages.append({"role": "user", "content": content})
@@ -178,6 +184,16 @@ def add_or_update_user_message(content: str, messages: list[dict]):
    return messages


+def prepend_to_first_user_message_content(
+    content: str, messages: list[dict]
+) -> list[dict]:
+    for message in messages:
+        if message["role"] == "user":
+            message = update_message_content(message, content, append=False)
+            break
+    return messages
+
+
 def append_or_update_assistant_message(content: str, messages: list[dict]):
    """
    Adds a new assistant message at the end of the messages list
@@ -383,17 +399,10 @@ def parse_ollama_modelfile(model_text):
        "top_k": int,
        "top_p": float,
        "num_keep": int,
-        "typical_p": float,
        "presence_penalty": float,
        "frequency_penalty": float,
-        "penalize_newline": bool,
-        "numa": bool,
        "num_batch": int,
        "num_gpu": int,
-        "main_gpu": int,
-        "low_vram": bool,
-        "f16_kv": bool,
-        "vocab_only": bool,
        "use_mmap": bool,
        "use_mlock": bool,
        "num_thread": int,
@@ -522,3 +531,11 @@ def throttle(interval: float = 10.0):
        return wrapper

    return decorator
+
+
+def extract_urls(text: str) -> list[str]:
+    # Regex pattern to match URLs
+    url_pattern = re.compile(
+        r"(https?://[^\s]+)", re.IGNORECASE
+    )  # Matches http and https URLs
+    return url_pattern.findall(text)
@@ -22,10 +22,11 @@ from open_webui.utils.access_control import has_access


 from open_webui.config import (
+    BYPASS_ADMIN_ACCESS_CONTROL,
    DEFAULT_ARENA_MODEL,
 )

-from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL
+from open_webui.env import BYPASS_MODEL_ACCESS_CONTROL, SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL
 from open_webui.models.users import UserModel


@@ -165,13 +166,18 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
                        action_ids = []
                        filter_ids = []

-                        if "info" in model and "meta" in model["info"]:
-                            action_ids.extend(
-                                model["info"]["meta"].get("actionIds", [])
-                            )
-                            filter_ids.extend(
-                                model["info"]["meta"].get("filterIds", [])
-                            )
+                        if "info" in model:
+                            if "meta" in model["info"]:
+                                action_ids.extend(
+                                    model["info"]["meta"].get("actionIds", [])
+                                )
+                                filter_ids.extend(
+                                    model["info"]["meta"].get("filterIds", [])
+                                )
+
+                            if "params" in model["info"]:
+                                # Remove params to avoid exposing sensitive info
+                                del model["info"]["params"]

                        model["action_ids"] = action_ids
                        model["filter_ids"] = filter_ids
@@ -181,22 +187,40 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
        elif custom_model.is_active and (
            custom_model.id not in [model["id"] for model in models]
        ):
+            # Custom model based on a base model
            owned_by = "openai"
            pipe = None

+            for m in models:
+                if (
+                    custom_model.base_model_id == m["id"]
+                    or custom_model.base_model_id == m["id"].split(":")[0]
+                ):
+                    owned_by = m.get("owned_by", "unknown")
+                    if "pipe" in m:
+                        pipe = m["pipe"]
+                    break
+
+            model = {
+                "id": f"{custom_model.id}",
+                "name": custom_model.name,
+                "object": "model",
+                "created": custom_model.created_at,
+                "owned_by": owned_by,
+                "preset": True,
+                **({"pipe": pipe} if pipe is not None else {}),
+            }
+
+            info = custom_model.model_dump()
+            if "params" in info:
+                # Remove params to avoid exposing sensitive info
+                del info["params"]
+
+            model["info"] = info
+
            action_ids = []
            filter_ids = []

-            for model in models:
-                if (
-                    custom_model.base_model_id == model["id"]
-                    or custom_model.base_model_id == model["id"].split(":")[0]
-                ):
-                    owned_by = model.get("owned_by", "unknown owner")
-                    if "pipe" in model:
-                        pipe = model["pipe"]
-                    break
-
            if custom_model.meta:
                meta = custom_model.meta.model_dump()

@@ -206,20 +230,10 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
                if "filterIds" in meta:
                    filter_ids.extend(meta["filterIds"])

-            models.append(
-                {
-                    "id": f"{custom_model.id}",
-                    "name": custom_model.name,
-                    "object": "model",
-                    "created": custom_model.created_at,
-                    "owned_by": owned_by,
-                    "info": custom_model.model_dump(),
-                    "preset": True,
-                    **({"pipe": pipe} if pipe is not None else {}),
-                    "action_ids": action_ids,
-                    "filter_ids": filter_ids,
-                }
-            )
+            model["action_ids"] = action_ids
+            model["filter_ids"] = filter_ids
+
+            models.append(model)

    # Process action_ids to get the actions
    def get_action_items_from_module(function, module):
@@ -262,6 +276,7 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
                "icon": function.meta.manifest.get("icon_url", None)
                or getattr(module, "icon_url", None)
                or getattr(module, "icon", None),
+                "has_user_valves": hasattr(module, "UserValves"),
            }
        ]

@@ -332,3 +347,40 @@ def check_model_access(user, model):
            )
        ):
            raise Exception("Model not found")
+
+
+def get_filtered_models(models, user):
+    # Filter out models that the user does not have access to
+    if (
+        user.role == "user"
+        or (user.role == "admin" and not BYPASS_ADMIN_ACCESS_CONTROL)
+    ) and not BYPASS_MODEL_ACCESS_CONTROL:
+        filtered_models = []
+        for model in models:
+            if model.get("arena"):
+                if has_access(
+                    user.id,
+                    type="read",
+                    access_control=model.get("info", {})
+                    .get("meta", {})
+                    .get("access_control", {}),
+                ):
+                    filtered_models.append(model)
+                continue
+
+            model_info = Models.get_model_by_id(model["id"])
+            if model_info:
+                if (
+                    (user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL)
+                    or user.id == model_info.user_id
+                    or has_access(
+                        user.id,
+                        type="read",
+                        access_control=model_info.access_control,
+                    )
+                ):
+                    filtered_models.append(model)
+
+        return filtered_models
+    else:
+        return models
@@ -2,6 +2,7 @@ from open_webui.utils.task import prompt_template, prompt_variables_template
 from open_webui.utils.misc import (
    deep_update,
    add_or_update_system_message,
+    replace_system_message_content,
 )

 from typing import Callable, Optional
@@ -10,7 +11,11 @@ import json

 # inplace function: form_data is modified
 def apply_system_prompt_to_body(
-    system: Optional[str], form_data: dict, metadata: Optional[dict] = None, user=None
+    system: Optional[str],
+    form_data: dict,
+    metadata: Optional[dict] = None,
+    user=None,
+    replace: bool = False,
 ) -> dict:
    if not system:
        return form_data
@@ -24,9 +29,15 @@ def apply_system_prompt_to_body(
    # Legacy (API Usage)
    system = prompt_template(system, user)

-    form_data["messages"] = add_or_update_system_message(
-        system, form_data.get("messages", [])
-    )
+    if replace:
+        form_data["messages"] = replace_system_message_content(
+            system, form_data.get("messages", [])
+        )
+    else:
+        form_data["messages"] = add_or_update_system_message(
+            system, form_data.get("messages", [])
+        )
+
    return form_data


@@ -63,6 +74,7 @@ def remove_open_webui_params(params: dict) -> dict:
        "stream_response": bool,
        "stream_delta_chunk_size": int,
        "function_calling": str,
+        "reasoning_tags": list,
        "system": str,
    }

@@ -152,17 +164,11 @@ def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict:
        "repeat_last_n": int,
        "top_k": int,
        "min_p": float,
-        "typical_p": float,
        "repeat_penalty": float,
        "presence_penalty": float,
        "frequency_penalty": float,
-        "penalize_newline": bool,
        "stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
-        "numa": bool,
        "num_gpu": int,
-        "main_gpu": int,
-        "low_vram": bool,
-        "vocab_only": bool,
        "use_mmap": bool,
        "use_mlock": bool,
        "num_thread": int,
@@ -291,6 +297,10 @@ def convert_payload_openai_to_ollama(openai_payload: dict) -> dict:
    if "tools" in openai_payload:
        ollama_payload["tools"] = openai_payload["tools"]

+    if "max_tokens" in openai_payload:
+        ollama_payload["num_predict"] = openai_payload["max_tokens"]
+        del openai_payload["max_tokens"]
+
    # If there are advanced parameters in the payload, format them in Ollama's options field
    if openai_payload.get("options"):
        ollama_payload["options"] = openai_payload["options"]
@@ -166,6 +166,48 @@ def load_function_module_by_id(function_id: str, content: str | None = None):
        os.unlink(temp_file.name)


+def get_tool_module_from_cache(request, tool_id, load_from_db=True):
+    if load_from_db:
+        # Always load from the database by default
+        tool = Tools.get_tool_by_id(tool_id)
+        if not tool:
+            raise Exception(f"Tool not found: {tool_id}")
+        content = tool.content
+
+        new_content = replace_imports(content)
+        if new_content != content:
+            content = new_content
+            # Update the tool content in the database
+            Tools.update_tool_by_id(tool_id, {"content": content})
+
+        if (
+            hasattr(request.app.state, "TOOL_CONTENTS")
+            and tool_id in request.app.state.TOOL_CONTENTS
+        ) and (
+            hasattr(request.app.state, "TOOLS") and tool_id in request.app.state.TOOLS
+        ):
+            if request.app.state.TOOL_CONTENTS[tool_id] == content:
+                return request.app.state.TOOLS[tool_id], None
+
+        tool_module, frontmatter = load_tool_module_by_id(tool_id, content)
+    else:
+        if hasattr(request.app.state, "TOOLS") and tool_id in request.app.state.TOOLS:
+            return request.app.state.TOOLS[tool_id], None
+
+        tool_module, frontmatter = load_tool_module_by_id(tool_id)
+
+    if not hasattr(request.app.state, "TOOLS"):
+        request.app.state.TOOLS = {}
+
+    if not hasattr(request.app.state, "TOOL_CONTENTS"):
+        request.app.state.TOOL_CONTENTS = {}
+
+    request.app.state.TOOLS[tool_id] = tool_module
+    request.app.state.TOOL_CONTENTS[tool_id] = content
+
+    return tool_module, frontmatter
+
+
 def get_function_module_from_cache(request, function_id, load_from_db=True):
    if load_from_db:
        # Always load from the database by default
@@ -163,20 +163,27 @@ def setup_metrics(app: FastAPI, resource: Resource) -> None:
    @app.middleware("http")
    async def _metrics_middleware(request: Request, call_next):
        start_time = time.perf_counter()
-        response = await call_next(request)
-        elapsed_ms = (time.perf_counter() - start_time) * 1000.0

-        # Route template e.g. "/items/{item_id}" instead of real path.
-        route = request.scope.get("route")
-        route_path = getattr(route, "path", request.url.path)
+        status_code = None
+        try:
+            response = await call_next(request)
+            status_code = getattr(response, "status_code", 500)
+            return response
+        except Exception:
+            status_code = 500
+            raise
+        finally:
+            elapsed_ms = (time.perf_counter() - start_time) * 1000.0

-        attrs: Dict[str, str | int] = {
-            "http.method": request.method,
-            "http.route": route_path,
-            "http.status_code": response.status_code,
-        }
+            # Route template e.g. "/items/{item_id}" instead of real path.
+            route = request.scope.get("route")
+            route_path = getattr(route, "path", request.url.path)

-        request_counter.add(1, attrs)
-        duration_histogram.record(elapsed_ms, attrs)
+            attrs: Dict[str, str | int] = {
+                "http.method": request.method,
+                "http.route": route_path,
+                "http.status_code": status_code,
+            }

-        return response
+            request_counter.add(1, attrs)
+            duration_histogram.record(elapsed_ms, attrs)
@@ -85,9 +85,26 @@ def get_async_tool_function_and_apply_extra_params(
    update_wrapper(new_function, function)
    new_function.__signature__ = new_sig

+    new_function.__function__ = function  # type: ignore
+    new_function.__extra_params__ = extra_params  # type: ignore
+
    return new_function


+def get_updated_tool_function(function: Callable, extra_params: dict):
+    # Get the original function and merge updated params
+    __function__ = getattr(function, "__function__", None)
+    __extra_params__ = getattr(function, "__extra_params__", None)
+
+    if __function__ is not None and __extra_params__ is not None:
+        return get_async_tool_function_and_apply_extra_params(
+            __function__,
+            {**__extra_params__, **extra_params},
+        )
+
+    return function
+
+
 async def get_tools(
    request: Request, tool_ids: list[str], user: UserModel, extra_params: dict
 ) -> dict[str, dict]:
@@ -96,72 +113,117 @@ async def get_tools(
    for tool_id in tool_ids:
        tool = Tools.get_tool_by_id(tool_id)
        if tool is None:
+
            if tool_id.startswith("server:"):
-                server_id = tool_id.split(":")[1]
+                splits = tool_id.split(":")

-                tool_server_data = None
-                for server in await get_tool_servers(request):
-                    if server["id"] == server_id:
-                        tool_server_data = server
-                        break
+                if len(splits) == 2:
+                    type = "openapi"
+                    server_id = splits[1]
+                elif len(splits) == 3:
+                    type = splits[1]
+                    server_id = splits[2]

-                if tool_server_data is None:
-                    log.warning(f"Tool server data not found for {server_id}")
+                server_id_splits = server_id.split("|")
+                if len(server_id_splits) == 2:
+                    server_id = server_id_splits[0]
+                    function_names = server_id_splits[1].split(",")
+
+                if type == "openapi":
+
+                    tool_server_data = None
+                    for server in await get_tool_servers(request):
+                        if server["id"] == server_id:
+                            tool_server_data = server
+                            break
+
+                    if tool_server_data is None:
+                        log.warning(f"Tool server data not found for {server_id}")
+                        continue
+
+                    tool_server_idx = tool_server_data.get("idx", 0)
+                    tool_server_connection = (
+                        request.app.state.config.TOOL_SERVER_CONNECTIONS[
+                            tool_server_idx
+                        ]
+                    )
+
+                    specs = tool_server_data.get("specs", [])
+                    for spec in specs:
+                        function_name = spec["name"]
+
+                        auth_type = tool_server_connection.get("auth_type", "bearer")
+
+                        cookies = {}
+                        headers = {}
+
+                        if auth_type == "bearer":
+                            headers["Authorization"] = (
+                                f"Bearer {tool_server_connection.get('key', '')}"
+                            )
+                        elif auth_type == "none":
+                            # No authentication
+                            pass
+                        elif auth_type == "session":
+                            cookies = request.cookies
+                            headers["Authorization"] = (
+                                f"Bearer {request.state.token.credentials}"
+                            )
+                        elif auth_type == "system_oauth":
+                            cookies = request.cookies
+                            oauth_token = extra_params.get("__oauth_token__", None)
+                            if oauth_token:
+                                headers["Authorization"] = (
+                                    f"Bearer {oauth_token.get('access_token', '')}"
+                                )
+
+                        headers["Content-Type"] = "application/json"
+
+                        def make_tool_function(
+                            function_name, tool_server_data, headers
+                        ):
+                            async def tool_function(**kwargs):
+                                return await execute_tool_server(
+                                    url=tool_server_data["url"],
+                                    headers=headers,
+                                    cookies=cookies,
+                                    name=function_name,
+                                    params=kwargs,
+                                    server_data=tool_server_data,
+                                )
+
+                            return tool_function
+
+                        tool_function = make_tool_function(
+                            function_name, tool_server_data, headers
+                        )
+
+                        callable = get_async_tool_function_and_apply_extra_params(
+                            tool_function,
+                            {},
+                        )
+
+                        tool_dict = {
+                            "tool_id": tool_id,
+                            "callable": callable,
+                            "spec": spec,
+                            # Misc info
+                            "type": "external",
+                        }
+
+                        # Handle function name collisions
+                        while function_name in tools_dict:
+                            log.warning(
+                                f"Tool {function_name} already exists in another tools!"
+                            )
+                            # Prepend server ID to function name
+                            function_name = f"{server_id}_{function_name}"
+
+                        tools_dict[function_name] = tool_dict
+
+                else:
                    continue

-                tool_server_idx = tool_server_data.get("idx", 0)
-                tool_server_connection = (
-                    request.app.state.config.TOOL_SERVER_CONNECTIONS[tool_server_idx]
-                )
-
-                specs = tool_server_data.get("specs", [])
-                for spec in specs:
-                    function_name = spec["name"]
-
-                    auth_type = tool_server_connection.get("auth_type", "bearer")
-                    token = None
-
-                    if auth_type == "bearer":
-                        token = tool_server_connection.get("key", "")
-                    elif auth_type == "session":
-                        token = request.state.token.credentials
-
-                    def make_tool_function(function_name, token, tool_server_data):
-                        async def tool_function(**kwargs):
-                            return await execute_tool_server(
-                                token=token,
-                                url=tool_server_data["url"],
-                                name=function_name,
-                                params=kwargs,
-                                server_data=tool_server_data,
-                            )
-
-                        return tool_function
-
-                    tool_function = make_tool_function(
-                        function_name, token, tool_server_data
-                    )
-
-                    callable = get_async_tool_function_and_apply_extra_params(
-                        tool_function,
-                        {},
-                    )
-
-                    tool_dict = {
-                        "tool_id": tool_id,
-                        "callable": callable,
-                        "spec": spec,
-                    }
-
-                    # Handle function name collisions
-                    while function_name in tools_dict:
-                        log.warning(
-                            f"Tool {function_name} already exists in another tools!"
-                        )
-                        # Prepend server ID to function name
-                        function_name = f"{server_id}_{function_name}"
-
-                    tools_dict[function_name] = tool_dict
            else:
                continue
        else:
@@ -518,12 +580,23 @@ async def get_tool_server_data(token: str, url: str) -> Dict[str, Any]:
                    error_body = await response.json()
                    raise Exception(error_body)

+                text_content = None
+
                # Check if URL ends with .yaml or .yml to determine format
                if url.lower().endswith((".yaml", ".yml")):
                    text_content = await response.text()
                    res = yaml.safe_load(text_content)
                else:
-                    res = await response.json()
+                    text_content = await response.text()
+
+                try:
+                    res = json.loads(text_content)
+                except json.JSONDecodeError:
+                    try:
+                        res = yaml.safe_load(text_content)
+                    except Exception as e:
+                        raise e
+
    except Exception as err:
        log.exception(f"Could not fetch tool server spec from {url}")
        if isinstance(err, dict) and "detail" in err:
@@ -532,27 +605,20 @@ async def get_tool_server_data(token: str, url: str) -> Dict[str, Any]:
            error = str(err)
        raise Exception(error)

-    data = {
-        "openapi": res,
-        "info": res.get("info", {}),
-        "specs": convert_openapi_to_tool_payload(res),
-    }
-
-    log.info(f"Fetched data: {data}")
-    return data
+    log.debug(f"Fetched data: {res}")
+    return res


-async def get_tool_servers_data(
-    servers: List[Dict[str, Any]], session_token: Optional[str] = None
-) -> List[Dict[str, Any]]:
+async def get_tool_servers_data(servers: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
    # Prepare list of enabled servers along with their original index
+
+    tasks = []
    server_entries = []
    for idx, server in enumerate(servers):
-        if server.get("config", {}).get("enable"):
-            # Path (to OpenAPI spec URL) can be either a full URL or a path to append to the base URL
-            openapi_path = server.get("path", "openapi.json")
-            full_url = get_tool_server_url(server.get("url"), openapi_path)
-
+        if (
+            server.get("config", {}).get("enable")
+            and server.get("type", "openapi") == "openapi"
+        ):
            info = server.get("info", {})

            auth_type = server.get("auth_type", "bearer")
@@ -560,19 +626,42 @@ async def get_tool_servers_data(

            if auth_type == "bearer":
                token = server.get("key", "")
-            elif auth_type == "session":
-                token = session_token
+            elif auth_type == "none":
+                # No authentication
+                pass

            id = info.get("id")
            if not id:
                id = str(idx)

-            server_entries.append((id, idx, server, full_url, info, token))
+            server_url = server.get("url")
+            spec_type = server.get("spec_type", "url")

-    # Create async tasks to fetch data
-    tasks = [
-        get_tool_server_data(token, url) for (_, _, _, url, _, token) in server_entries
-    ]
+            # Create async tasks to fetch data
+            task = None
+            if spec_type == "url":
+                # Path (to OpenAPI spec URL) can be either a full URL or a path to append to the base URL
+                openapi_path = server.get("path", "openapi.json")
+                spec_url = get_tool_server_url(server_url, openapi_path)
+                # Fetch from URL
+                task = get_tool_server_data(token, spec_url)
+            elif spec_type == "json" and server.get("spec", ""):
+                # Use provided JSON spec
+                spec_json = None
+                try:
+                    spec_json = json.loads(server.get("spec", ""))
+                except Exception as e:
+                    log.error(f"Error parsing JSON spec for tool server {id}: {e}")
+
+                if spec_json:
+                    task = asyncio.sleep(
+                        0,
+                        result=spec_json,
+                    )
+
+            if task:
+                tasks.append(task)
+                server_entries.append((id, idx, server, server_url, info, token))

    # Execute tasks concurrently
    responses = await asyncio.gather(*tasks, return_exceptions=True)
@@ -584,8 +673,13 @@ async def get_tool_servers_data(
            log.error(f"Failed to connect to {url} OpenAPI tool server")
            continue

-        openapi_data = response.get("openapi", {})
+        response = {
+            "openapi": response,
+            "info": response.get("info", {}),
+            "specs": convert_openapi_to_tool_payload(response),
+        }

+        openapi_data = response.get("openapi", {})
        if info and isinstance(openapi_data, dict):
            openapi_data["info"] = openapi_data.get("info", {})

@@ -610,8 +704,13 @@ async def get_tool_servers_data(


 async def execute_tool_server(
-    token: str, url: str, name: str, params: Dict[str, Any], server_data: Dict[str, Any]
-) -> Any:
+    url: str,
+    headers: Dict[str, str],
+    cookies: Dict[str, str],
+    name: str,
+    params: Dict[str, Any],
+    server_data: Dict[str, Any],
+) -> Tuple[Dict[str, Any], Optional[Dict[str, Any]]]:
    error = None
    try:
        openapi = server_data.get("openapi", {})
@@ -666,27 +765,20 @@ async def execute_tool_server(
        if operation.get("requestBody", {}).get("content"):
            if params:
                body_params = params
-            else:
-                raise Exception(
-                    f"Request body expected for operation '{name}' but none found."
-                )
-
-        headers = {"Content-Type": "application/json"}
-
-        if token:
-            headers["Authorization"] = f"Bearer {token}"

        async with aiohttp.ClientSession(
            trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
        ) as session:
            request_method = getattr(session, http_method.lower())

-            if http_method in ["post", "put", "patch"]:
+            if http_method in ["post", "put", "patch", "delete"]:
                async with request_method(
                    final_url,
                    json=body_params,
                    headers=headers,
+                    cookies=cookies,
                    ssl=AIOHTTP_CLIENT_SESSION_TOOL_SERVER_SSL,
+                    allow_redirects=False,
                ) as response:
                    if response.status >= 400:
                        text = await response.text()
@@ -697,12 +789,15 @@ async def execute_tool_server(
                    except Exception:
                        response_data = await response.text()

-                    return response_data
+                    response_headers = response.headers
+                    return (response_data, response_headers)
            else:
                async with request_method(
                    final_url,
                    headers=headers,
+                    cookies=cookies,
                    ssl=AIOHTTP_CLIENT_SESSION_TOOL_SERVER_SSL,
+                    allow_redirects=False,
                ) as response:
                    if response.status >= 400:
                        text = await response.text()
@@ -713,12 +808,13 @@ async def execute_tool_server(
                    except Exception:
                        response_data = await response.text()

-                    return response_data
+                    response_headers = response.headers
+                    return (response_data, response_headers)

    except Exception as err:
        error = str(err)
        log.exception(f"API Request Error: {error}")
-        return {"error": error}
+        return ({"error": error}, None)


 def get_tool_server_url(url: Optional[str], path: str) -> str:
@@ -51,7 +51,7 @@ async def post_webhook(name: str, url: str, message: str, event_data: dict) -> b
            payload = {**event_data}

        log.debug(f"payload: {payload}")
-        async with aiohttp.ClientSession() as session:
+        async with aiohttp.ClientSession(trust_env=True) as session:
            async with session.post(url, json=payload) as r:
                r_text = await r.text()
                r.raise_for_status()
@@ -1,83 +1,71 @@
-fastapi==0.115.7
-uvicorn[standard]==0.35.0
-pydantic==2.11.7
+fastapi==0.118.0
+uvicorn[standard]==0.37.0
+pydantic==2.11.9
 python-multipart==0.0.20
+itsdangerous==2.2.0

 python-socketio==5.13.0
-python-jose==3.4.0
-passlib[bcrypt]==1.7.4
+python-jose==3.5.0
 cryptography
+bcrypt==5.0.0
+argon2-cffi==25.1.0
+PyJWT[crypto]==2.10.1
+authlib==1.6.5

-requests==2.32.4
+requests==2.32.5
 aiohttp==3.12.15
 async-timeout
 aiocache
 aiofiles
 starlette-compress==1.6.0
 httpx[socks,http2,zstd,cli,brotli]==0.28.1
+starsessions[redis]==2.2.1

 sqlalchemy==2.0.38
 alembic==1.14.0
 peewee==3.18.1
 peewee-migrate==1.12.2
-psycopg2-binary==2.9.9
-pgvector==0.4.0
-PyMySQL==1.1.1
-bcrypt==4.3.0
-
-pymongo
-redis
-boto3==1.40.5
-
-argon2-cffi==23.1.0
-APScheduler==3.10.4

 pycrdt==0.12.25
+redis

+APScheduler==3.10.4
 RestrictedPython==8.0

 loguru==0.7.3
 asgiref==3.8.1

 # AI libraries
+tiktoken
+mcp==1.14.1
+
 openai
 anthropic
-google-genai==1.28.0
+google-genai==1.38.0
 google-generativeai==0.8.5
-tiktoken

-langchain==0.3.26
-langchain-community==0.3.26
+langchain==0.3.27
+langchain-community==0.3.29

 fake-useragent==2.2.0
-chromadb==0.6.3
-posthog==5.4.0
-pymilvus==2.5.0
-qdrant-client==1.14.3
+chromadb==1.1.0
 opensearch-py==2.8.0
-playwright==1.49.1 # Caution: version must match docker-compose.playwright.yaml
-elasticsearch==9.0.1
-pinecone==6.0.2
-oracledb==3.2.0

-av==14.0.1 # Caution: Set due to FATAL FIPS SELFTEST FAILURE, see discussion https://github.com/open-webui/open-webui/discussions/15720
 transformers
-sentence-transformers==4.1.0
+sentence-transformers==5.1.1
 accelerate
-colbert-ai==0.2.21
-pyarrow==20.0.0
-einops==0.8.1
-
+pyarrow==20.0.0 # fix: pin pyarrow version to 20 for rpi compatibility #15897
+einops==0.8.1 

 ftfy==6.2.3
-pypdf==4.3.1
+pypdf==6.0.0
 fpdf2==2.8.2
 pymdown-extensions==10.14.2
 docx2txt==0.8
 python-pptx==1.0.2
-unstructured==0.16.17
+unstructured==0.18.15
 nltk==3.9.1
-Markdown==3.8.2
+Markdown==3.9
 pypandoc==1.15
 pandas==2.2.3
 openpyxl==3.1.5
@@ -95,15 +83,11 @@ rapidocr-onnxruntime==1.4.4
 rank-bm25==0.2.2

 onnxruntime==1.20.1
-
 faster-whisper==1.1.1

-PyJWT[crypto]==2.10.1
-authlib==1.6.1

-black==25.1.0
-langfuse==2.44.0
-youtube-transcript-api==1.1.0
+black==25.9.0
+youtube-transcript-api==1.2.2
 pytube==15.0.0

 pydub
@@ -114,36 +98,52 @@ google-api-python-client
 google-auth-httplib2
 google-auth-oauthlib

-## Tests
-docker~=7.1.0
-pytest~=8.3.5
-pytest-docker~=3.1.1
-
-googleapis-common-protos==1.63.2
+googleapis-common-protos==1.70.0
 google-cloud-storage==2.19.0

-azure-identity==1.23.0
+azure-identity==1.25.0
 azure-storage-blob==12.24.1


+pymongo
+psycopg2-binary==2.9.10
+pgvector==0.4.1
+
+PyMySQL==1.1.1
+boto3==1.40.5
+
+pymilvus==2.6.2
+qdrant-client==1.14.3
+playwright==1.49.1 # Caution: version must match docker-compose.playwright.yaml
+elasticsearch==9.1.0
+pinecone==6.0.2
+oracledb==3.2.0
+
+av==14.0.1 # Caution: Set due to FATAL FIPS SELFTEST FAILURE, see discussion https://github.com/open-webui/open-webui/discussions/15720
+
+colbert-ai==0.2.21
+
+
+## Tests
+docker~=7.1.0
+pytest~=8.4.1
+pytest-docker~=3.1.1
+
 ## LDAP
 ldap3==2.9.1

 ## Firecrawl
-firecrawl-py==1.12.0
-
-# Sougou API SDK(Tencentcloud SDK)
-tencentcloud-sdk-python==3.0.1336
+firecrawl-py==4.5.0

 ## Trace
-opentelemetry-api==1.36.0
-opentelemetry-sdk==1.36.0
-opentelemetry-exporter-otlp==1.36.0
-opentelemetry-instrumentation==0.57b0
-opentelemetry-instrumentation-fastapi==0.57b0
-opentelemetry-instrumentation-sqlalchemy==0.57b0
-opentelemetry-instrumentation-redis==0.57b0
-opentelemetry-instrumentation-requests==0.57b0
-opentelemetry-instrumentation-logging==0.57b0
-opentelemetry-instrumentation-httpx==0.57b0
-opentelemetry-instrumentation-aiohttp-client==0.57b0
+opentelemetry-api==1.37.0
+opentelemetry-sdk==1.37.0
+opentelemetry-exporter-otlp==1.37.0
+opentelemetry-instrumentation==0.58b0
+opentelemetry-instrumentation-fastapi==0.58b0
+opentelemetry-instrumentation-sqlalchemy==0.58b0
+opentelemetry-instrumentation-redis==0.58b0
+opentelemetry-instrumentation-requests==0.58b0
+opentelemetry-instrumentation-logging==0.58b0
+opentelemetry-instrumentation-httpx==0.58b0
+opentelemetry-instrumentation-aiohttp-client==0.58b0
@@ -53,12 +53,12 @@ if [ -n "$SPACE_ID" ]; then
    WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" uvicorn open_webui.main:app --host "$HOST" --port "$PORT" --forwarded-allow-ips '*' &
    webui_pid=$!
    echo "Waiting for webui to start..."
-    while ! curl -s http://localhost:8080/health > /dev/null; do
+    while ! curl -s "http://localhost:${PORT}/health" > /dev/null; do
      sleep 1
    done
    echo "Creating admin user..."
    curl \
-      -X POST "http://localhost:8080/api/v1/auths/signup" \
+      -X POST "http://localhost:${PORT}/api/v1/auths/signup" \
      -H "accept: application/json" \
      -H "Content-Type: application/json" \
      -d "{ \"email\": \"${ADMIN_USER_EMAIL}\", \"password\": \"${ADMIN_USER_PASSWORD}\", \"name\": \"Admin\" }"
@@ -70,5 +70,18 @@ if [ -n "$SPACE_ID" ]; then
 fi

 PYTHON_CMD=$(command -v python3 || command -v python)
+UVICORN_WORKERS="${UVICORN_WORKERS:-1}"

-WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" exec "$PYTHON_CMD" -m uvicorn open_webui.main:app --host "$HOST" --port "$PORT" --forwarded-allow-ips '*' --workers "${UVICORN_WORKERS:-1}"
+# If script is called with arguments, use them; otherwise use default workers
+if [ "$#" -gt 0 ]; then
+    ARGS=("$@")
+else
+    ARGS=(--workers "$UVICORN_WORKERS")
+fi
+
+# Run uvicorn
+WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" exec "$PYTHON_CMD" -m uvicorn open_webui.main:app \
+    --host "$HOST" \
+    --port "$PORT" \
+    --forwarded-allow-ips '*' \
+    "${ARGS[@]}"
--- a/Show More
+++ b/Show More