Merge pull request #12524 from open-webui/dev

0.6.2

.github/ISSUE_TEMPLATE/bug_report.md

@@ -1,80 +0,0 @@
----
-name: Bug report
-about: Create a report to help us improve
-title: ''
-labels: ''
-assignees: ''
----
-
-# Bug Report
-
-## Important Notes
-
-- **Before submitting a bug report**: Please check the Issues or Discussions section to see if a similar issue or feature request has already 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.
-
-- **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. Remember, Open WebUI is a volunteer-driven project managed by a single maintainer and supported by contributors who also have full-time jobs. 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.
-
-- **Bug reproducibility**: If a bug cannot be reproduced with a `:main` or `:dev` Docker setup, or a pip install with Python 3.11, it may require additional help from the community. In such cases, we will move it to the "issues" Discussions section due to our limited resources. We encourage the community to assist with these issues. Remember, it’s not that the issue doesn’t exist; we need your help!
-
-Note: Please remove the notes above when submitting your post. Thank you for your understanding and support!
-
----
-
-## Installation Method
-
-[Describe the method you used to install the project, e.g., git clone, Docker, pip, etc.]
-
-## Environment
-
-- **Open WebUI Version:** [e.g., v0.3.11]
-- **Ollama (if applicable):** [e.g., v0.2.0, v0.1.32-rc1]
-
-- **Operating System:** [e.g., Windows 10, macOS Big Sur, Ubuntu 20.04]
-- **Browser (if applicable):** [e.g., Chrome 100.0, Firefox 98.0]
-
-**Confirmation:**
-
-- [ ] I have read and followed all the instructions provided in the README.md.
-- [ ] I am on the latest version of both Open WebUI and Ollama.
-- [ ] I have included the browser console logs.
-- [ ] I have included the Docker container logs.
-- [ ] I have provided the exact steps to reproduce the bug in the "Steps to Reproduce" section below.
-
-## Expected Behavior:
-
-[Describe what you expected to happen.]
-
-## Actual Behavior:
-
-[Describe what actually happened.]
-
-## Description
-
-**Bug Summary:**
-[Provide a brief but clear summary of the bug]
-
-## Reproduction Details
-
-**Steps to Reproduce:**
-[Outline the steps to reproduce the bug. Be as detailed as possible.]
-
-## Logs and Screenshots
-
-**Browser Console Logs:**
-[Include relevant browser console logs, if applicable]
-
-**Docker Container Logs:**
-[Include relevant Docker container logs, if applicable]
-
-**Screenshots/Screen Recordings (if applicable):**
-[Attach any relevant screenshots to help illustrate the issue]
-
-## Additional Information
-
-[Include any additional details that may help in understanding and reproducing the issue. This could include specific configurations, error messages, or anything else relevant to the bug.]
-
-## Note
-
-If the bug report is incomplete or does not follow the provided instructions, it may not be addressed. Please ensure that you have followed the steps outlined in the README.md and troubleshooting.md documents, and provide all necessary information for us to reproduce and address the issue. Thank you!

.github/ISSUE_TEMPLATE/bug_report.yaml

@@ -0,0 +1,146 @@
+name: Bug Report
+description: Create a detailed bug report to help us improve Open WebUI.
+title: 'issue: '
+labels: ['bug', 'triage']
+assignees: []
+body:
+  - type: markdown
+    attributes:
+      value: |
+        # Bug Report
+
+        ## 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.
+
+        - **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.
+
+        - **Contributing**: If you encounter an issue, consider submitting a pull request or forking the project. We prioritize preventing contributor burnout to maintain Open WebUI's quality.
+
+        - **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!
+
+  - 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.
+          required: true
+        - label: I am using the latest version of Open WebUI.
+          required: true
+
+  - type: dropdown
+    id: installation-method
+    attributes:
+      label: Installation Method
+      description: How did you install Open WebUI?
+      options:
+        - Git Clone
+        - Pip Install
+        - Docker
+        - Other
+    validations:
+      required: true
+
+  - type: input
+    id: open-webui-version
+    attributes:
+      label: Open WebUI Version
+      description: Specify the version (e.g., v0.3.11)
+    validations:
+      required: true
+
+  - type: input
+    id: ollama-version
+    attributes:
+      label: Ollama Version (if applicable)
+      description: Specify the version (e.g., v0.2.0, or v0.1.32-rc1)
+    validations:
+      required: false
+
+  - type: input
+    id: operating-system
+    attributes:
+      label: Operating System
+      description: Specify the OS (e.g., Windows 10, macOS Sonoma, Ubuntu 22.04)
+    validations:
+      required: true
+
+  - type: input
+    id: browser
+    attributes:
+      label: Browser (if applicable)
+      description: Specify the browser/version (e.g., Chrome 100.0, Firefox 98.0)
+    validations:
+      required: false
+
+  - type: checkboxes
+    id: confirmation
+    attributes:
+      label: Confirmation
+      description: Ensure the following prerequisites have been met.
+      options:
+        - label: I have read and followed all instructions in `README.md`.
+          required: true
+        - label: I am using the latest version of **both** Open WebUI and Ollama.
+          required: true
+        - label: I have included the browser console logs.
+          required: true
+        - label: I have included the Docker container logs.
+          required: true
+        - label: I have listed steps to reproduce the bug in detail.
+          required: true
+
+  - type: textarea
+    id: expected-behavior
+    attributes:
+      label: Expected Behavior
+      description: Describe what should have happened.
+    validations:
+      required: true
+
+  - type: textarea
+    id: actual-behavior
+    attributes:
+      label: Actual Behavior
+      description: Describe what actually happened.
+    validations:
+      required: true
+
+  - type: textarea
+    id: reproduction-steps
+    attributes:
+      label: Steps to Reproduce
+      description: Providing clear, step-by-step instructions helps us reproduce and fix the issue faster. If we can't reproduce it, we can't fix it.
+      placeholder: |
+        1. Go to '...'
+        2. Click on '...'
+        3. Scroll down to '...'
+        4. See the error message '...'
+    validations:
+      required: true
+
+  - type: textarea
+    id: logs-screenshots
+    attributes:
+      label: Logs & Screenshots
+      description: Include relevant logs, errors, or screenshots to help diagnose the issue.
+      placeholder: 'Attach logs from the browser console, Docker logs, or error messages.'
+    validations:
+      required: true
+
+  - type: textarea
+    id: additional-info
+    attributes:
+      label: Additional Information
+      description: Provide any extra details that may assist in understanding the issue.
+    validations:
+      required: false
+
+  - type: markdown
+    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.  
+        Thank you for contributing to Open WebUI!

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1 @@
+blank_issues_enabled: false

.github/ISSUE_TEMPLATE/feature_request.md

@@ -1,35 +0,0 @@
----
-name: Feature request
-about: Suggest an idea for this project
-title: ''
-labels: ''
-assignees: ''
----
-
-# Feature Request
-
-## Important Notes
-
-- **Before submitting a report**: Please check the Issues or Discussions section to see if a similar issue or feature request has already 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.
-
-- **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. Remember, Open WebUI is a volunteer-driven project managed by a single maintainer and supported by contributors who also have full-time jobs. 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.
-
-- **Bug reproducibility**: If a bug cannot be reproduced with a `:main` or `:dev` Docker setup, or a pip install with Python 3.11, it may require additional help from the community. In such cases, we will move it to the "issues" Discussions section due to our limited resources. We encourage the community to assist with these issues. Remember, it’s not that the issue doesn’t exist; we need your help!
-
-Note: Please remove the notes above when submitting your post. Thank you for your understanding and support!
-
----
-
-**Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-
-**Describe the solution you'd like**
-A clear and concise description of what you want to happen.
-
-**Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
-
-**Additional context**
-Add any other context or screenshots about the feature request here.

.github/ISSUE_TEMPLATE/feature_request.yaml

@@ -0,0 +1,64 @@
+name: Feature Request
+description: Suggest an idea for this project
+title: 'feat: '
+labels: ['triage']
+body:
+  - type: markdown
+    attributes:
+      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.
+        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.
+
+        ### 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**.
+
+        Remember:
+        - Open WebUI is a **volunteer-driven project**
+        - It's managed by a **single maintainer**
+        - It's supported by contributors who also have **full-time jobs**
+
+        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.
+
+        ### Bug reproducibility
+        If a bug cannot be reproduced with a `:main` or `:dev` Docker setup, or a `pip install` with Python 3.11, it may require additional help from the community. In such cases, we will move it to the "[issues](https://github.com/open-webui/open-webui/discussions/categories/issues)" Discussions section due to our limited resources. We encourage the community to assist with these issues. Remember, it’s not that the issue doesn’t exist; we need your help!
+
+  - type: checkboxes
+    id: existing-issue
+    attributes:
+      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.
+          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..."
+    validations:
+      required: true
+  - type: textarea
+    id: solution-description
+    attributes:
+      label: Desired Solution you'd like
+      description: Clearly describe what you want to happen.
+    validations:
+      required: true
+  - type: textarea
+    id: alternatives-considered
+    attributes:
+      label: Alternatives Considered
+      description: A clear and concise description of any alternative solutions or features you've considered.
+  - type: textarea
+    id: additional-context
+    attributes:
+      label: Additional Context
+      description: Add any other context or screenshots about the feature request here.

.github/dependabot.yml

@@ -1,12 +1,26 @@
 version: 2
 updates:
+  - package-ecosystem: uv
+    directory: '/'
+    schedule:
+      interval: monthly
+    target-branch: 'dev'
+
   - package-ecosystem: pip
     directory: '/backend'
     schedule:
       interval: monthly
     target-branch: 'dev'
+
+  - package-ecosystem: npm
+    directory: '/'
+    schedule:
+      interval: monthly
+    target-branch: 'dev'
+
   - package-ecosystem: 'github-actions'
     directory: '/'
     schedule:
       # Check for updates to GitHub Actions every week
       interval: monthly
+    target-branch: 'dev'

.github/pull_request_template.md

@@ -9,9 +9,9 @@
 - [ ] **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?
 - [ ] **Dependencies:** Are there any new dependencies? Have you updated the dependency versions in the documentation?
-- [ ] **Testing:** Have you written and run sufficient tests for validating the changes?
+- [ ] **Testing:** Have you written and run sufficient tests to validate the changes?
 - [ ] **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 cleary categorize this pull request, prefix the pull request title, using one of the following:
+- [ ] **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
@@ -22,7 +22,7 @@
   - **i18n**: Internationalization or localization changes
   - **perf**: Performance improvement
   - **refactor**: Code restructuring for better maintainability, readability, or scalability
-  - **style**: Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc.)
+  - **style**: Changes that do not affect the meaning of the code (white space, formatting, missing semi-colons, etc.)
   - **test**: Adding missing tests or correcting existing tests
   - **WIP**: Work in progress, a temporary label for incomplete or ongoing work
 

.github/workflows/docker-build.yaml

@@ -14,7 +14,7 @@ env:
 
 jobs:
   build-main-image:
-    runs-on: ubuntu-latest
+    runs-on: ${{ matrix.platform == 'linux/arm64' && 'ubuntu-24.04-arm' || 'ubuntu-latest' }}
     permissions:
       contents: read
       packages: write
@@ -111,7 +111,7 @@ jobs:
           retention-days: 1
 
   build-cuda-image:
-    runs-on: ubuntu-latest
+    runs-on: ${{ matrix.platform == 'linux/arm64' && 'ubuntu-24.04-arm' || 'ubuntu-latest' }}
     permissions:
       contents: read
       packages: write
@@ -211,7 +211,7 @@ jobs:
           retention-days: 1
 
   build-ollama-image:
-    runs-on: ubuntu-latest
+    runs-on: ${{ matrix.platform == 'linux/arm64' && 'ubuntu-24.04-arm' || 'ubuntu-latest' }}
     permissions:
       contents: read
       packages: write

.github/workflows/format-backend.yaml

@@ -5,10 +5,18 @@ on:
     branches:
       - main
       - dev
+    paths:
+      - 'backend/**'
+      - 'pyproject.toml'
+      - 'uv.lock'
   pull_request:
     branches:
       - main
       - dev
+    paths:
+      - 'backend/**'
+      - 'pyproject.toml'
+      - 'uv.lock'
 
 jobs:
   build:
@@ -17,7 +25,9 @@ jobs:
 
     strategy:
       matrix:
-        python-version: [3.11]
+        python-version:
+          - 3.11.x
+          - 3.12.x
 
     steps:
       - uses: actions/checkout@v4
@@ -25,7 +35,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: ${{ matrix.python-version }}
+          python-version: '${{ matrix.python-version }}'
 
       - name: Install dependencies
         run: |

.github/workflows/format-build-frontend.yaml

@@ -5,10 +5,18 @@ on:
     branches:
       - main
       - dev
+    paths-ignore:
+      - 'backend/**'
+      - 'pyproject.toml'
+      - 'uv.lock'
   pull_request:
     branches:
       - main
       - dev
+    paths-ignore:
+      - 'backend/**'
+      - 'pyproject.toml'
+      - 'uv.lock'
 
 jobs:
   build:
@@ -21,7 +29,7 @@ jobs:
       - name: Setup Node.js
         uses: actions/setup-node@v4
         with:
-          node-version: '22' # Or specify any other version you want to use
+          node-version: '22'
 
       - name: Install Dependencies
         run: npm install

CHANGELOG.md

@@ -5,6 +5,133 @@ 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).
 
+## [0.6.2] - 2025-04-06
+
+### Added
+
+- 🌍 **Improved Global Language Support**: Expanded and refined translations across multiple languages to enhance clarity and consistency for international users.
+
+### Fixed
+
+- 🛠️ **Accurate Tool Descriptions from OpenAPI Servers**: External tools now use full endpoint descriptions instead of summaries when generating tool specifications—helping AI models understand tool purpose more precisely and choose the right tool more accurately in tool workflows.
+- 🔧 **Precise Web Results Source Attribution**: Fixed a key issue where all web search results showed the same source ID—now each result gets its correct and distinct source, ensuring accurate citations and traceability.
+- 🔍 **Clean Web Search Retrieval**: Web search now retains only results from URLs where real content was successfully fetched—improving accuracy and removing empty or broken links from citations.
+- 🎵 **Audio File Upload Response Restored**: Resolved an issue where uploading audio files did not return valid responses, restoring smooth file handling for transcription and audio-based workflows.
+
+### Changed
+
+- 🧰 **General Backend Refactoring**: Multiple behind-the-scenes improvements streamline backend performance, reduce complexity, and ensure a more stable, maintainable system overall—making everything smoother without changing your workflow.
+
+## [0.6.1] - 2025-04-05
+
+### Added
+
+- 🛠️ **Global Tool Servers Configuration**: Admins can now centrally configure global external tool servers from Admin Settings > Tools, allowing seamless sharing of tool integrations across all users without manual setup per user.
+- 🔐 **Direct Tool Usage Permission for Users**: Introduced a new user-level permission toggle that grants non-admin users access to direct external tools, empowering broader team collaboration while maintaining control.
+- 🧠 **Mistral OCR Content Extraction Support**: Added native support for Mistral OCR as a high-accuracy document loader, drastically improving text extraction from scanned documents in RAG workflows.
+- 🖼️ **Tools Indicator UI Redesign**: Enhanced message input now smartly displays both built-in and external tools via a unified dropdown, making it simpler and more intuitive to activate tools during conversations.
+- 📄 **RAG Prompt Improved and More Coherent**: Default RAG system prompt has been revised to be more clear and citation-focused—admins can leave the template field empty to use this new gold-standard prompt.
+- 🧰 **Performance & Developer Improvements**: Major internal restructuring of several tool-related components, simplifying styling and merging external/internal handling logic, resulting in better maintainability and performance.
+- 🌍 **Improved Translations**: Updated translations for Tibetan, Polish, Chinese (Simplified & Traditional), Arabic, Russian, Ukrainian, Dutch, Finnish, and French to improve clarity and consistency across the interface.
+
+### Fixed
+
+- 🔑 **External Tool Server API Key Bug Resolved**: Fixed a critical issue where authentication headers were not being sent when calling tools from external OpenAPI tool servers, ensuring full security and smooth tool operations.
+- 🚫 **Conditional Export Button Visibility**: UI now gracefully hides export buttons when there's nothing to export in models, prompts, tools, or functions, improving visual clarity and reducing confusion.
+- 🧪 **Hybrid Search Failure Recovery**: Resolved edge case in parallel hybrid search where empty or unindexed collections caused backend crashes—these are now cleanly skipped to ensure system stability.
+- 📂 **Admin Folder Deletion Fix**: Addressed an issue where folders created in the admin workspace couldn't be deleted, restoring full organizational flexibility for admins.
+- 🔐 **Improved Generic Error Feedback on Login**: Authentication errors now show simplified, non-revealing messages for privacy and improved UX, especially with federated logins.
+- 📝 **Tool Message with Images Improved**: Enhanced how tool-generated messages with image outputs are shown in chat, making them more readable and consistent with the overall UI design.
+- ⚙️ **Auto-Exclusion for Broken RAG Collections**: Auto-skips document collections that fail to fetch data or return "None", preventing silent errors and streamlining retrieval workflows.
+- 📝 **Docling Text File Handling Fix**: Fixed file parsing inconsistency that broke docling-based RAG functionality for certain plain text files, ensuring wider file compatibility.
+
+## [0.6.0] - 2025-03-31
+
+### Added
+
+- 🧩 **External Tool Server Support via OpenAPI**: Connect Open WebUI to any OpenAPI-compatible REST server instantly—offering immediate integration with thousands of developer tools, SDKs, and SaaS systems for powerful extensibility. Learn more: https://github.com/open-webui/openapi-servers
+- 🛠️ **MCP Server Support via MCPO**: You can now convert and expose your internal MCP tools as interoperable OpenAPI HTTP servers within Open WebUI for seamless, plug-n-play AI toolchain creation. Learn more: https://github.com/open-webui/mcpo
+- 📨 **/messages Chat API Endpoint Support**: For power users building external AI systems, new endpoints allow precise control of messages asynchronously—feed long-running external responses into Open WebUI chats without coupling with the frontend.
+- 📝 **Client-Side PDF Generation**: PDF exports are now generated fully client-side for drastically improved output quality—perfect for saving conversations or documents.
+- 💼 **Enforced Temporary Chats Mode**: Admins can now enforce temporary chat sessions by default to align with stringent data retention and compliance requirements.
+- 🌍 **Public Resource Sharing Permission Controls**: Fine-grained user group permissions now allow enabling/disabling public sharing for models, knowledge, prompts, and tools—ideal for privacy, team control, and internal deployments.
+- 📦 **Custom pip Options for Tools/Functions**: You can now specify custom pip installation options with "PIP_OPTIONS", "PIP_PACKAGE_INDEX_OPTIONS" environment variables—improving compatibility, support for private indexes, and better control over Python environments.
+- 🔢 **Editable Message Counter**: You can now double-click the message count number and jump straight to editing the index—quickly navigate complex chats or regenerate specific messages precisely.
+- 🧠 **Embedding Prefix Support Added**: Add custom prefixes to your embeddings for instruct-style tokens, enabling stronger model alignment and more consistent RAG performance.
+- 🙈 **Ability to Hide Base Models**: Optionally hide base models from the UI, helping users streamline model visibility and limit access to only usable endpoints..
+- 📚 **Docling Content Extraction Support**: Open WebUI now supports Docling as a content extraction engine, enabling smarter and more accurate parsing of complex file formats—ideal for advanced document understanding and Retrieval-Augmented Generation (RAG) workflows.
+- 🗃️ **Redis Sentinel Support Added**: Enhance deployment redundancy with support for Redis Sentinel for highly available, failover-safe Redis-based caching or pub/sub.
+- 📚 **JSON Schema Format for Ollama**: Added support for defining the format using JSON schema in Ollama-compatible models, improving flexibility and validation of model outputs.
+- 🔍 **Chat Sidebar Search "Clear” Button**: Quickly clear search filters in chat sidebar using the new ✖️ button—streamline your chat navigation with one click.
+- 🗂️ **Auto-Focus + Enter Submit for Folder Name**: When creating a new folder, the system automatically enters rename mode with name preselected—simplifying your org workflow.
+- 🧱 **Markdown Alerts Rendering**: Blockquotes with syntax hinting (e.g. ⚠️, ℹ️, ✅) now render styled Markdown alert banners, making messages and documentation more visually structured.
+- 🔁 **Hybrid Search Runs in Parallel Now**: Hybrid (BM25 + embedding) search components now run in parallel—dramatically reducing response times and speeding up document retrieval.
+- 📋 **Cleaner UI for Tool Call Display**: Optimized the visual layout of called tools inside chat messages for better clarity and reduced visual clutter.
+- 🧪 **Playwright Timeout Now Configurable**: Default timeout for Playwright processes is now shorter and adjustable via environment variables—making web scraping more robust and tunable to environments.
+- 📈 **OpenTelemetry Support for Observability**: Open WebUI now integrates with OpenTelemetry, allowing you to connect with tools like Grafana, Jaeger, or Prometheus for detailed performance insights and real-time visibility—entirely opt-in and fully self-hosted. Even if enabled, no data is ever sent to us, ensuring your privacy and ownership over all telemetry data.
+- 🛠 **General UI Enhancements & UX Polish**: Numerous refinements across sidebar, code blocks, modal interactions, button alignment, scrollbar visibility, and folder behavior improve overall fluidity and usability of the interface.
+- 🧱 **General Backend Refactoring**: Numerous backend components have been refactored to improve stability, maintainability, and performance—ensuring a more consistent and reliable system across all features.
+- 🌍 **Internationalization Language Support Updates**: Added Estonian and Galician languages, improved Spanish (fully revised), Traditional Chinese, Simplified Chinese, Turkish, Catalan, Ukrainian, and German for a more localized and inclusive interface.
+
+### Fixed
+
+- 🧑‍💻 **Firefox Input Height Bug**: Text input in Firefox now maintains proper height, ensuring message boxes look consistent and behave predictably.
+- 🧾 **Tika Blank Line Bug**: PDFs processed with Apache Tika 3.1.0.0 no longer introduce excessive blank lines—improving RAG output quality and visual cleanliness.
+- 🧪 **CSV Loader Encoding Issues**: CSV files with unknown encodings now automatically detect character sets, resolving import errors in non-UTF-8 datasets.
+- ✅ **LDAP Auth Config Fix**: Path to certificate file is now optional for LDAP setups, fixing authentication trouble for users without preconfigured cert paths.
+- 📥 **File Deletion in Bypass Mode**: Resolved issue where files couldn’t be deleted from knowledge when “bypass embedding” mode was enabled.
+- 🧩 **Hybrid Search Result Sorting & Deduplication Fixed**: Fixed citation and sorting issues in RAG hybrid and reranker modes, ensuring retrieved documents are shown in correct order per score.
+- 🧷 **Model Export/Import Broken for a Single Model**: Fixed bug where individual models couldn’t be exported or re-imported, restoring full portability.
+- 📫 **Auth Redirect Fix**: Logged-in users are now routed properly without unnecessary login prompts when already authenticated.
+
+### Changed
+
+- 🧠 **Prompt Autocompletion Disabled By Default**: Autocomplete suggestions while typing are now disabled unless explicitly re-enabled in user preferences—reduces distractions while composing prompts for advanced users.
+- 🧾 **Normalize Citation Numbering**: Source citations now properly begin from "1" instead of "0"—improving consistency and professional presentation in AI outputs.
+- 📚 **Improved Error Handling from Pipelines**: Pipelines now show the actual returned error message from failed tasks rather than generic "Connection closed"—making debugging far more user-friendly.
+
+### Removed
+
+- 🧾 **ENABLE_AUDIT_LOGS Setting Removed**: Deprecated setting “ENABLE_AUDIT_LOGS” has been fully removed—now controlled via “AUDIT_LOG_LEVEL” instead.
+
+## [0.5.20] - 2025-03-05
+
+### Added
+
+- **⚡ Toggle Code Execution On/Off**: You can now enable or disable code execution, providing more control over security, ensuring a safer and more customizable experience.
+
+### Fixed
+
+- **📜 Pinyin Keyboard Enter Key Now Works Properly**: Resolved an issue where the Enter key for Pinyin keyboards was not functioning as expected, ensuring seamless input for Chinese users.
+- **🖼️ Web Manifest Loading Issue Fixed**: Addressed inconsistencies with 'site.webmanifest', guaranteeing proper loading and representation of the app across different browsers and devices.
+- **📦 Non-Root Container Issue Resolved**: Fixed a critical issue where the UI failed to load correctly in non-root containers, ensuring reliable deployment in various environments.
+
+## [0.5.19] - 2025-03-04
+
+### Added
+
+- **📊 Logit Bias Parameter Support**: Fine-tune conversation dynamics by adjusting the Logit Bias parameter directly in chat settings, giving you more control over model responses.
+- **⌨️ Customizable Enter Behavior**: You can now configure Enter to send messages only when combined with Ctrl (Ctrl+Enter) via Settings > Interface, preventing accidental message sends.
+- **📝 Collapsible Code Blocks**: Easily collapse long code blocks to declutter your chat, making it easier to focus on important details.
+- **🏷️ Tag Selector in Model Selector**: Quickly find and categorize models with the new tag filtering system in the Model Selector, streamlining model discovery.
+- **📈 Experimental Elasticsearch Vector DB Support**: Now supports Elasticsearch as a vector database, offering more flexibility for data retrieval in Retrieval-Augmented Generation (RAG) workflows.
+- **⚙️ General Reliability Enhancements**: Various stability improvements across the WebUI, ensuring a smoother, more consistent experience.
+- **🌍 Updated Translations**: Refined multilingual support for better localization and accuracy across various languages.
+
+### Fixed
+
+- **🔄 "Stream" Hook Activation**: Fixed an issue where the "Stream" hook only worked when globally enabled, ensuring reliable real-time filtering.
+- **📧 LDAP Email Case Sensitivity**: Resolved an issue where LDAP login failed due to email case sensitivity mismatches, improving authentication reliability.
+- **💬 WebSocket Chat Event Registration**: Fixed a bug preventing chat event listeners from being registered upon sign-in, ensuring real-time updates work properly.
+
+## [0.5.18] - 2025-02-27
+
+### Fixed
+
+- **🌐 Open WebUI Now Works Over LAN in Insecure Context**: Resolved an issue preventing Open WebUI from functioning when accessed over a local network in an insecure context, ensuring seamless connectivity.
+- **🔄 UI Now Reflects Deleted Connections Instantly**: Fixed an issue where deleting a connection did not update the UI in real time, ensuring accurate system state visibility.
+- **🛠️ Models Now Display Correctly with ENABLE_FORWARD_USER_INFO_HEADERS**: Addressed a bug where models were not visible when ENABLE_FORWARD_USER_INFO_HEADERS was set, restoring proper model listing.
+
 ## [0.5.17] - 2025-02-27
 
 ### Added

Dockerfile

@@ -132,7 +132,7 @@ RUN if [ "$USE_OLLAMA" = "true" ]; then \
 # install python dependencies
 COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
 
-RUN pip3 install uv && \
+RUN pip3 install --no-cache-dir uv && \
     if [ "$USE_CUDA" = "true" ]; then \
     # If you use CUDA the whisper and embedding model will be downloaded on first use
     pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \

backend/open_webui/config.py

@@ -3,6 +3,7 @@ import logging
 import os
 import shutil
 import base64
+import redis
 
 from datetime import datetime
 from pathlib import Path
@@ -17,6 +18,9 @@ from open_webui.env import (
     DATA_DIR,
     DATABASE_URL,
     ENV,
+    REDIS_URL,
+    REDIS_SENTINEL_HOSTS,
+    REDIS_SENTINEL_PORT,
     FRONTEND_BUILD_DIR,
     OFFLINE_MODE,
     OPEN_WEBUI_DIR,
@@ -26,6 +30,7 @@ from open_webui.env import (
     log,
 )
 from open_webui.internal.db import Base, get_db
+from open_webui.utils.redis import get_redis_connection
 
 
 class EndpointFilter(logging.Filter):
@@ -248,9 +253,17 @@ class PersistentConfig(Generic[T]):
 
 class AppConfig:
     _state: dict[str, PersistentConfig]
+    _redis: Optional[redis.Redis] = None
 
-    def __init__(self):
+    def __init__(
+        self, redis_url: Optional[str] = None, redis_sentinels: Optional[list] = []
+    ):
         super().__setattr__("_state", {})
+        if redis_url:
+            super().__setattr__(
+                "_redis",
+                get_redis_connection(redis_url, redis_sentinels, decode_responses=True),
+            )
 
     def __setattr__(self, key, value):
         if isinstance(value, PersistentConfig):
@@ -259,7 +272,31 @@ class AppConfig:
             self._state[key].value = value
             self._state[key].save()
 
+            if self._redis:
+                redis_key = f"open-webui:config:{key}"
+                self._redis.set(redis_key, json.dumps(self._state[key].value))
+
     def __getattr__(self, key):
+        if key not in self._state:
+            raise AttributeError(f"Config key '{key}' not found")
+
+        # If Redis is available, check for an updated value
+        if self._redis:
+            redis_key = f"open-webui:config:{key}"
+            redis_value = self._redis.get(redis_key)
+
+            if redis_value is not None:
+                try:
+                    decoded_value = json.loads(redis_value)
+
+                    # Update the in-memory value if different
+                    if self._state[key].value != decoded_value:
+                        self._state[key].value = decoded_value
+                        log.info(f"Updated {key} from Redis: {decoded_value}")
+
+                except json.JSONDecodeError:
+                    log.error(f"Invalid JSON format in Redis for {key}: {redis_value}")
+
         return self._state[key].value
 
 
@@ -294,12 +331,14 @@ JWT_EXPIRES_IN = PersistentConfig(
 # OAuth config
 ####################################
 
+
 ENABLE_OAUTH_SIGNUP = PersistentConfig(
     "ENABLE_OAUTH_SIGNUP",
     "oauth.enable_signup",
     os.environ.get("ENABLE_OAUTH_SIGNUP", "False").lower() == "true",
 )
 
+
 OAUTH_MERGE_ACCOUNTS_BY_EMAIL = PersistentConfig(
     "OAUTH_MERGE_ACCOUNTS_BY_EMAIL",
     "oauth.merge_accounts_by_email",
@@ -429,6 +468,7 @@ OAUTH_USERNAME_CLAIM = PersistentConfig(
     os.environ.get("OAUTH_USERNAME_CLAIM", "name"),
 )
 
+
 OAUTH_PICTURE_CLAIM = PersistentConfig(
     "OAUTH_PICTURE_CLAIM",
     "oauth.oidc.avatar_claim",
@@ -587,6 +627,17 @@ load_oauth_providers()
 
 STATIC_DIR = Path(os.getenv("STATIC_DIR", OPEN_WEBUI_DIR / "static")).resolve()
 
+for file_path in (FRONTEND_BUILD_DIR / "static").glob("**/*"):
+    if file_path.is_file():
+        target_path = STATIC_DIR / file_path.relative_to(
+            (FRONTEND_BUILD_DIR / "static")
+        )
+        target_path.parent.mkdir(parents=True, exist_ok=True)
+        try:
+            shutil.copyfile(file_path, target_path)
+        except Exception as e:
+            logging.error(f"An error occurred: {e}")
+
 frontend_favicon = FRONTEND_BUILD_DIR / "static" / "favicon.png"
 
 if frontend_favicon.exists():
@@ -659,11 +710,7 @@ if CUSTOM_NAME:
 # LICENSE_KEY
 ####################################
 
-LICENSE_KEY = PersistentConfig(
-    "LICENSE_KEY",
-    "license.key",
-    os.environ.get("LICENSE_KEY", ""),
-)
+LICENSE_KEY = os.environ.get("LICENSE_KEY", "")
 
 ####################################
 # STORAGE PROVIDER
@@ -695,16 +742,16 @@ AZURE_STORAGE_KEY = os.environ.get("AZURE_STORAGE_KEY", None)
 # File Upload DIR
 ####################################
 
-UPLOAD_DIR = f"{DATA_DIR}/uploads"
-Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
+UPLOAD_DIR = DATA_DIR / "uploads"
+UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
 
 
 ####################################
 # Cache DIR
 ####################################
 
-CACHE_DIR = f"{DATA_DIR}/cache"
-Path(CACHE_DIR).mkdir(parents=True, exist_ok=True)
+CACHE_DIR = DATA_DIR / "cache"
+CACHE_DIR.mkdir(parents=True, exist_ok=True)
 
 
 ####################################
@@ -834,6 +881,17 @@ except Exception:
     pass
 OPENAI_API_BASE_URL = "https://api.openai.com/v1"
 
+####################################
+# TOOL_SERVERS
+####################################
+
+
+TOOL_SERVER_CONNECTIONS = PersistentConfig(
+    "TOOL_SERVER_CONNECTIONS",
+    "tool_server.connections",
+    [],
+)
+
 ####################################
 # WEBUI
 ####################################
@@ -936,6 +994,35 @@ USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS = (
     os.environ.get("USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS", "False").lower() == "true"
 )
 
+USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING = (
+    os.environ.get(
+        "USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING", "False"
+    ).lower()
+    == "true"
+)
+
+USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING = (
+    os.environ.get(
+        "USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING", "False"
+    ).lower()
+    == "true"
+)
+
+USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_PUBLIC_SHARING = (
+    os.environ.get(
+        "USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_PUBLIC_SHARING", "False"
+    ).lower()
+    == "true"
+)
+
+USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_PUBLIC_SHARING = (
+    os.environ.get(
+        "USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_PUBLIC_SHARING", "False"
+    ).lower()
+    == "true"
+)
+
+
 USER_PERMISSIONS_CHAT_CONTROLS = (
     os.environ.get("USER_PERMISSIONS_CHAT_CONTROLS", "True").lower() == "true"
 )
@@ -956,6 +1043,16 @@ USER_PERMISSIONS_CHAT_TEMPORARY = (
     os.environ.get("USER_PERMISSIONS_CHAT_TEMPORARY", "True").lower() == "true"
 )
 
+USER_PERMISSIONS_CHAT_TEMPORARY_ENFORCED = (
+    os.environ.get("USER_PERMISSIONS_CHAT_TEMPORARY_ENFORCED", "False").lower()
+    == "true"
+)
+
+USER_PERMISSIONS_FEATURES_DIRECT_TOOL_SERVERS = (
+    os.environ.get("USER_PERMISSIONS_FEATURES_DIRECT_TOOL_SERVERS", "False").lower()
+    == "true"
+)
+
 USER_PERMISSIONS_FEATURES_WEB_SEARCH = (
     os.environ.get("USER_PERMISSIONS_FEATURES_WEB_SEARCH", "True").lower() == "true"
 )
@@ -978,14 +1075,22 @@ DEFAULT_USER_PERMISSIONS = {
         "prompts": USER_PERMISSIONS_WORKSPACE_PROMPTS_ACCESS,
         "tools": USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS,
     },
+    "sharing": {
+        "public_models": USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING,
+        "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,
+    },
     "chat": {
         "controls": USER_PERMISSIONS_CHAT_CONTROLS,
         "file_upload": USER_PERMISSIONS_CHAT_FILE_UPLOAD,
         "delete": USER_PERMISSIONS_CHAT_DELETE,
         "edit": USER_PERMISSIONS_CHAT_EDIT,
         "temporary": USER_PERMISSIONS_CHAT_TEMPORARY,
+        "temporary_enforced": USER_PERMISSIONS_CHAT_TEMPORARY_ENFORCED,
     },
     "features": {
+        "direct_tool_servers": USER_PERMISSIONS_FEATURES_DIRECT_TOOL_SERVERS,
         "web_search": USER_PERMISSIONS_FEATURES_WEB_SEARCH,
         "image_generation": USER_PERMISSIONS_FEATURES_IMAGE_GENERATION,
         "code_interpreter": USER_PERMISSIONS_FEATURES_CODE_INTERPRETER,
@@ -1048,6 +1153,12 @@ ENABLE_MESSAGE_RATING = PersistentConfig(
     os.environ.get("ENABLE_MESSAGE_RATING", "True").lower() == "true",
 )
 
+ENABLE_USER_WEBHOOKS = PersistentConfig(
+    "ENABLE_USER_WEBHOOKS",
+    "ui.enable_user_webhooks",
+    os.environ.get("ENABLE_USER_WEBHOOKS", "True").lower() == "true",
+)
+
 
 def validate_cors_origins(origins):
     for origin in origins:
@@ -1269,7 +1380,7 @@ Strictly return in JSON format:
 ENABLE_AUTOCOMPLETE_GENERATION = PersistentConfig(
     "ENABLE_AUTOCOMPLETE_GENERATION",
     "task.autocomplete.enable",
-    os.environ.get("ENABLE_AUTOCOMPLETE_GENERATION", "True").lower() == "true",
+    os.environ.get("ENABLE_AUTOCOMPLETE_GENERATION", "False").lower() == "true",
 )
 
 AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH = PersistentConfig(
@@ -1373,6 +1484,11 @@ Responses from models: {{responses}}"""
 # Code Interpreter
 ####################################
 
+ENABLE_CODE_EXECUTION = PersistentConfig(
+    "ENABLE_CODE_EXECUTION",
+    "code_execution.enable",
+    os.environ.get("ENABLE_CODE_EXECUTION", "True").lower() == "true",
+)
 
 CODE_EXECUTION_ENGINE = PersistentConfig(
     "CODE_EXECUTION_ENGINE",
@@ -1500,10 +1616,11 @@ Ensure that the tools are effectively utilized to achieve the highest-quality an
 VECTOR_DB = os.environ.get("VECTOR_DB", "chroma")
 
 # Chroma
+CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
+
 if VECTOR_DB == "chroma":
     import chromadb
 
-    CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
     CHROMA_TENANT = os.environ.get("CHROMA_TENANT", chromadb.DEFAULT_TENANT)
     CHROMA_DATABASE = os.environ.get("CHROMA_DATABASE", chromadb.DEFAULT_DATABASE)
     CHROMA_HTTP_HOST = os.environ.get("CHROMA_HTTP_HOST", "")
@@ -1535,11 +1652,24 @@ QDRANT_API_KEY = os.environ.get("QDRANT_API_KEY", None)
 
 # OpenSearch
 OPENSEARCH_URI = os.environ.get("OPENSEARCH_URI", "https://localhost:9200")
-OPENSEARCH_SSL = os.environ.get("OPENSEARCH_SSL", True)
-OPENSEARCH_CERT_VERIFY = os.environ.get("OPENSEARCH_CERT_VERIFY", False)
+OPENSEARCH_SSL = os.environ.get("OPENSEARCH_SSL", "true").lower() == "true"
+OPENSEARCH_CERT_VERIFY = (
+    os.environ.get("OPENSEARCH_CERT_VERIFY", "false").lower() == "true"
+)
 OPENSEARCH_USERNAME = os.environ.get("OPENSEARCH_USERNAME", None)
 OPENSEARCH_PASSWORD = os.environ.get("OPENSEARCH_PASSWORD", None)
 
+# ElasticSearch
+ELASTICSEARCH_URL = os.environ.get("ELASTICSEARCH_URL", "https://localhost:9200")
+ELASTICSEARCH_CA_CERTS = os.environ.get("ELASTICSEARCH_CA_CERTS", None)
+ELASTICSEARCH_API_KEY = os.environ.get("ELASTICSEARCH_API_KEY", None)
+ELASTICSEARCH_USERNAME = os.environ.get("ELASTICSEARCH_USERNAME", None)
+ELASTICSEARCH_PASSWORD = os.environ.get("ELASTICSEARCH_PASSWORD", None)
+ELASTICSEARCH_CLOUD_ID = os.environ.get("ELASTICSEARCH_CLOUD_ID", None)
+SSL_ASSERT_FINGERPRINT = os.environ.get("SSL_ASSERT_FINGERPRINT", None)
+ELASTICSEARCH_INDEX_PREFIX = os.environ.get(
+    "ELASTICSEARCH_INDEX_PREFIX", "open_webui_collections"
+)
 # Pgvector
 PGVECTOR_DB_URL = os.environ.get("PGVECTOR_DB_URL", DATABASE_URL)
 if VECTOR_DB == "pgvector" and not PGVECTOR_DB_URL.startswith("postgres"):
@@ -1599,6 +1729,12 @@ TIKA_SERVER_URL = PersistentConfig(
     os.getenv("TIKA_SERVER_URL", "http://tika:9998"),  # Default for sidecar deployment
 )
 
+DOCLING_SERVER_URL = PersistentConfig(
+    "DOCLING_SERVER_URL",
+    "rag.docling_server_url",
+    os.getenv("DOCLING_SERVER_URL", "http://docling:5001"),
+)
+
 DOCUMENT_INTELLIGENCE_ENDPOINT = PersistentConfig(
     "DOCUMENT_INTELLIGENCE_ENDPOINT",
     "rag.document_intelligence_endpoint",
@@ -1611,6 +1747,11 @@ DOCUMENT_INTELLIGENCE_KEY = PersistentConfig(
     os.getenv("DOCUMENT_INTELLIGENCE_KEY", ""),
 )
 
+MISTRAL_OCR_API_KEY = PersistentConfig(
+    "MISTRAL_OCR_API_KEY",
+    "rag.mistral_ocr_api_key",
+    os.getenv("MISTRAL_OCR_API_KEY", ""),
+)
 
 BYPASS_EMBEDDING_AND_RETRIEVAL = PersistentConfig(
     "BYPASS_EMBEDDING_AND_RETRIEVAL",
@@ -1622,6 +1763,11 @@ BYPASS_EMBEDDING_AND_RETRIEVAL = PersistentConfig(
 RAG_TOP_K = PersistentConfig(
     "RAG_TOP_K", "rag.top_k", int(os.environ.get("RAG_TOP_K", "3"))
 )
+RAG_TOP_K_RERANKER = PersistentConfig(
+    "RAG_TOP_K_RERANKER",
+    "rag.top_k_reranker",
+    int(os.environ.get("RAG_TOP_K_RERANKER", "3")),
+)
 RAG_RELEVANCE_THRESHOLD = PersistentConfig(
     "RAG_RELEVANCE_THRESHOLD",
     "rag.relevance_threshold",
@@ -1703,6 +1849,14 @@ RAG_EMBEDDING_BATCH_SIZE = PersistentConfig(
     ),
 )
 
+RAG_EMBEDDING_QUERY_PREFIX = os.environ.get("RAG_EMBEDDING_QUERY_PREFIX", None)
+
+RAG_EMBEDDING_CONTENT_PREFIX = os.environ.get("RAG_EMBEDDING_CONTENT_PREFIX", None)
+
+RAG_EMBEDDING_PREFIX_FIELD_NAME = os.environ.get(
+    "RAG_EMBEDDING_PREFIX_FIELD_NAME", None
+)
+
 RAG_RERANKING_MODEL = PersistentConfig(
     "RAG_RERANKING_MODEL",
     "rag.reranking_model",
@@ -1746,7 +1900,7 @@ CHUNK_OVERLAP = PersistentConfig(
 )
 
 DEFAULT_RAG_TEMPLATE = """### Task:
-Respond to the user query using the provided context, incorporating inline citations in the format [source_id] **only when the <source_id> tag is explicitly provided** in the context.
+Respond to the user query using the provided context, incorporating inline citations in the format [id] **only when the <source> tag includes an explicit id attribute** (e.g., <source id="1">).
 
 ### Guidelines:
 - If you don't know the answer, clearly state that.
@@ -1754,18 +1908,17 @@ Respond to the user query using the provided context, incorporating inline citat
 - Respond in the same language as the user's query.
 - If the context is unreadable or of poor quality, inform the user and provide the best possible answer.
 - If the answer isn't present in the context but you possess the knowledge, explain this to the user and provide the answer using your own understanding.
-- **Only include inline citations using [source_id] (e.g., [1], [2]) when a `<source_id>` tag is explicitly provided in the context.**
-- Do not cite if the <source_id> tag is not provided in the context.  
+- **Only include inline citations using [id] (e.g., [1], [2]) when the <source> tag includes an id attribute.**
+- Do not cite if the <source> tag does not contain an id attribute.
 - Do not use XML tags in your response.
 - Ensure citations are concise and directly related to the information provided.
 
 ### Example of Citation:
-If the user asks about a specific topic and the information is found in "whitepaper.pdf" with a provided <source_id>, the response should include the citation like so:  
-* "According to the study, the proposed method increases efficiency by 20% [whitepaper.pdf]."
-If no <source_id> is present, the response should omit the citation.
+If the user asks about a specific topic and the information is found in a source with a provided id attribute, the response should include the citation like in the following example:
+* "According to the study, the proposed method increases efficiency by 20% [1]."
 
 ### Output:
-Provide a clear and direct response to the user's query, including inline citations in the format [source_id] only when the <source_id> tag is present in the context.
+Provide a clear and direct response to the user's query, including inline citations in the format [id] only when the <source> tag with id attribute is present in the context.
 
 <context>
 {{CONTEXT}}
@@ -1926,6 +2079,12 @@ TAVILY_API_KEY = PersistentConfig(
     os.getenv("TAVILY_API_KEY", ""),
 )
 
+TAVILY_EXTRACT_DEPTH = PersistentConfig(
+    "TAVILY_EXTRACT_DEPTH",
+    "rag.web.search.tavily_extract_depth",
+    os.getenv("TAVILY_EXTRACT_DEPTH", "basic"),
+)
+
 JINA_API_KEY = PersistentConfig(
     "JINA_API_KEY",
     "rag.web.search.jina_api_key",
@@ -1976,6 +2135,12 @@ EXA_API_KEY = PersistentConfig(
     os.getenv("EXA_API_KEY", ""),
 )
 
+PERPLEXITY_API_KEY = PersistentConfig(
+    "PERPLEXITY_API_KEY",
+    "rag.web.search.perplexity_api_key",
+    os.getenv("PERPLEXITY_API_KEY", ""),
+)
+
 RAG_WEB_SEARCH_RESULT_COUNT = PersistentConfig(
     "RAG_WEB_SEARCH_RESULT_COUNT",
     "rag.web.search.result_count",
@@ -2006,6 +2171,12 @@ PLAYWRIGHT_WS_URI = PersistentConfig(
     os.environ.get("PLAYWRIGHT_WS_URI", None),
 )
 
+PLAYWRIGHT_TIMEOUT = PersistentConfig(
+    "PLAYWRIGHT_TIMEOUT",
+    "rag.web.loader.engine.playwright.timeout",
+    int(os.environ.get("PLAYWRIGHT_TIMEOUT", "10")),
+)
+
 FIRECRAWL_API_KEY = PersistentConfig(
     "FIRECRAWL_API_KEY",
     "firecrawl.api_key",
@@ -2415,7 +2586,7 @@ LDAP_SEARCH_BASE = PersistentConfig(
 LDAP_SEARCH_FILTERS = PersistentConfig(
     "LDAP_SEARCH_FILTER",
     "ldap.server.search_filter",
-    os.environ.get("LDAP_SEARCH_FILTER", ""),
+    os.environ.get("LDAP_SEARCH_FILTER", os.environ.get("LDAP_SEARCH_FILTERS", "")),
 )
 
 LDAP_USE_TLS = PersistentConfig(

backend/open_webui/env.py

@@ -65,10 +65,8 @@ except Exception:
 # LOGGING
 ####################################
 
-log_levels = ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"]
-
 GLOBAL_LOG_LEVEL = os.environ.get("GLOBAL_LOG_LEVEL", "").upper()
-if GLOBAL_LOG_LEVEL in log_levels:
+if GLOBAL_LOG_LEVEL in logging.getLevelNamesMapping():
     logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL, force=True)
 else:
     GLOBAL_LOG_LEVEL = "INFO"
@@ -78,6 +76,7 @@ log.info(f"GLOBAL_LOG_LEVEL: {GLOBAL_LOG_LEVEL}")
 
 if "cuda_error" in locals():
     log.exception(cuda_error)
+    del cuda_error
 
 log_sources = [
     "AUDIO",
@@ -100,13 +99,12 @@ SRC_LOG_LEVELS = {}
 for source in log_sources:
     log_env_var = source + "_LOG_LEVEL"
     SRC_LOG_LEVELS[source] = os.environ.get(log_env_var, "").upper()
-    if SRC_LOG_LEVELS[source] not in log_levels:
+    if SRC_LOG_LEVELS[source] not in logging.getLevelNamesMapping():
         SRC_LOG_LEVELS[source] = GLOBAL_LOG_LEVEL
     log.info(f"{log_env_var}: {SRC_LOG_LEVELS[source]}")
 
 log.setLevel(SRC_LOG_LEVELS["CONFIG"])
 
-
 WEBUI_NAME = os.environ.get("WEBUI_NAME", "Open WebUI")
 if WEBUI_NAME != "Open WebUI":
     WEBUI_NAME += " (Open WebUI)"
@@ -131,7 +129,6 @@ else:
     except Exception:
         PACKAGE_DATA = {"version": "0.0.0"}
 
-
 VERSION = PACKAGE_DATA["version"]
 
 
@@ -162,7 +159,6 @@ try:
 except Exception:
     changelog_content = (pkgutil.get_data("open_webui", "CHANGELOG.md") or b"").decode()
 
-
 # Convert markdown content to HTML
 html_content = markdown.markdown(changelog_content)
 
@@ -193,7 +189,6 @@ for version in soup.find_all("h2"):
 
     changelog_json[version_number] = version_data
 
-
 CHANGELOG = changelog_json
 
 ####################################
@@ -210,7 +205,6 @@ ENABLE_FORWARD_USER_INFO_HEADERS = (
     os.environ.get("ENABLE_FORWARD_USER_INFO_HEADERS", "False").lower() == "true"
 )
 
-
 ####################################
 # WEBUI_BUILD_HASH
 ####################################
@@ -245,7 +239,6 @@ if FROM_INIT_PY:
 
     DATA_DIR = Path(os.getenv("DATA_DIR", OPEN_WEBUI_DIR / "data"))
 
-
 STATIC_DIR = Path(os.getenv("STATIC_DIR", OPEN_WEBUI_DIR / "static"))
 
 FONTS_DIR = Path(os.getenv("FONTS_DIR", OPEN_WEBUI_DIR / "static" / "fonts"))
@@ -257,7 +250,6 @@ if FROM_INIT_PY:
         os.getenv("FRONTEND_BUILD_DIR", OPEN_WEBUI_DIR / "frontend")
     ).resolve()
 
-
 ####################################
 # Database
 ####################################
@@ -322,7 +314,6 @@ RESET_CONFIG_ON_START = (
     os.environ.get("RESET_CONFIG_ON_START", "False").lower() == "true"
 )
 
-
 ENABLE_REALTIME_CHAT_SAVE = (
     os.environ.get("ENABLE_REALTIME_CHAT_SAVE", "False").lower() == "true"
 )
@@ -331,7 +322,9 @@ ENABLE_REALTIME_CHAT_SAVE = (
 # REDIS
 ####################################
 
-REDIS_URL = os.environ.get("REDIS_URL", "redis://localhost:6379/0")
+REDIS_URL = os.environ.get("REDIS_URL", "")
+REDIS_SENTINEL_HOSTS = os.environ.get("REDIS_SENTINEL_HOSTS", "")
+REDIS_SENTINEL_PORT = os.environ.get("REDIS_SENTINEL_PORT", "26379")
 
 ####################################
 # WEBUI_AUTH (Required for security)
@@ -386,6 +379,11 @@ ENABLE_WEBSOCKET_SUPPORT = (
 WEBSOCKET_MANAGER = os.environ.get("WEBSOCKET_MANAGER", "")
 
 WEBSOCKET_REDIS_URL = os.environ.get("WEBSOCKET_REDIS_URL", REDIS_URL)
+WEBSOCKET_REDIS_LOCK_TIMEOUT = os.environ.get("WEBSOCKET_REDIS_LOCK_TIMEOUT", 60)
+
+WEBSOCKET_SENTINEL_HOSTS = os.environ.get("WEBSOCKET_SENTINEL_HOSTS", "")
+
+WEBSOCKET_SENTINEL_PORT = os.environ.get("WEBSOCKET_SENTINEL_PORT", "26379")
 
 AIOHTTP_CLIENT_TIMEOUT = os.environ.get("AIOHTTP_CLIENT_TIMEOUT", "")
 
@@ -397,19 +395,18 @@ else:
     except Exception:
         AIOHTTP_CLIENT_TIMEOUT = 300
 
-AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = os.environ.get(
-    "AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST", ""
+AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST = os.environ.get(
+    "AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST",
+    os.environ.get("AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST", "10"),
 )
 
-if AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST == "":
-    AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = None
+if AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST == "":
+    AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST = None
 else:
     try:
-        AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = int(
-            AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST
-        )
+        AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST = int(AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
     except Exception:
-        AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = 5
+        AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST = 10
 
 ####################################
 # OFFLINE_MODE
@@ -423,13 +420,12 @@ if OFFLINE_MODE:
 ####################################
 # AUDIT LOGGING
 ####################################
-ENABLE_AUDIT_LOGS = os.getenv("ENABLE_AUDIT_LOGS", "false").lower() == "true"
 # Where to store log file
 AUDIT_LOGS_FILE_PATH = f"{DATA_DIR}/audit.log"
 # Maximum size of a file before rotating into a new log file
 AUDIT_LOG_FILE_ROTATION_SIZE = os.getenv("AUDIT_LOG_FILE_ROTATION_SIZE", "10MB")
 # METADATA | REQUEST | REQUEST_RESPONSE
-AUDIT_LOG_LEVEL = os.getenv("AUDIT_LOG_LEVEL", "REQUEST_RESPONSE").upper()
+AUDIT_LOG_LEVEL = os.getenv("AUDIT_LOG_LEVEL", "NONE").upper()
 try:
     MAX_BODY_LOG_SIZE = int(os.environ.get("MAX_BODY_LOG_SIZE") or 2048)
 except ValueError:
@@ -441,3 +437,26 @@ AUDIT_EXCLUDED_PATHS = os.getenv("AUDIT_EXCLUDED_PATHS", "/chats,/chat,/folders"
 )
 AUDIT_EXCLUDED_PATHS = [path.strip() for path in AUDIT_EXCLUDED_PATHS]
 AUDIT_EXCLUDED_PATHS = [path.lstrip("/") for path in AUDIT_EXCLUDED_PATHS]
+
+####################################
+# OPENTELEMETRY
+####################################
+
+ENABLE_OTEL = os.environ.get("ENABLE_OTEL", "False").lower() == "true"
+OTEL_EXPORTER_OTLP_ENDPOINT = os.environ.get(
+    "OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317"
+)
+OTEL_SERVICE_NAME = os.environ.get("OTEL_SERVICE_NAME", "open-webui")
+OTEL_RESOURCE_ATTRIBUTES = os.environ.get(
+    "OTEL_RESOURCE_ATTRIBUTES", ""
+)  # e.g. key1=val1,key2=val2
+OTEL_TRACES_SAMPLER = os.environ.get(
+    "OTEL_TRACES_SAMPLER", "parentbased_always_on"
+).lower()
+
+####################################
+# TOOLS/FUNCTIONS PIP OPTIONS
+####################################
+
+PIP_OPTIONS = os.getenv("PIP_OPTIONS", "").split()
+PIP_PACKAGE_INDEX_OPTIONS = os.getenv("PIP_PACKAGE_INDEX_OPTIONS", "").split()

backend/open_webui/functions.py

@@ -223,6 +223,9 @@ async def generate_function_chat_completion(
     extra_params = {
         "__event_emitter__": __event_emitter__,
         "__event_call__": __event_call__,
+        "__chat_id__": metadata.get("chat_id", None),
+        "__session_id__": metadata.get("session_id", None),
+        "__message_id__": metadata.get("message_id", None),
         "__task__": __task__,
         "__task_body__": __task_body__,
         "__files__": files,

backend/open_webui/main.py

@@ -84,11 +84,12 @@ from open_webui.routers.retrieval import (
     get_rf,
 )
 
-from open_webui.internal.db import Session
+from open_webui.internal.db import Session, engine
 
 from open_webui.models.functions import Functions
 from open_webui.models.models import Models
 from open_webui.models.users import UserModel, Users
+from open_webui.models.chats import Chats
 
 from open_webui.config import (
     LICENSE_KEY,
@@ -104,7 +105,10 @@ from open_webui.config import (
     OPENAI_API_CONFIGS,
     # Direct Connections
     ENABLE_DIRECT_CONNECTIONS,
+    # Tool Server Configs
+    TOOL_SERVER_CONNECTIONS,
     # Code Execution
+    ENABLE_CODE_EXECUTION,
     CODE_EXECUTION_ENGINE,
     CODE_EXECUTION_JUPYTER_URL,
     CODE_EXECUTION_JUPYTER_AUTH,
@@ -154,6 +158,7 @@ from open_webui.config import (
     AUDIO_TTS_AZURE_SPEECH_REGION,
     AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT,
     PLAYWRIGHT_WS_URI,
+    PLAYWRIGHT_TIMEOUT,
     FIRECRAWL_API_BASE_URL,
     FIRECRAWL_API_KEY,
     RAG_WEB_LOADER_ENGINE,
@@ -185,9 +190,12 @@ from open_webui.config import (
     CHUNK_SIZE,
     CONTENT_EXTRACTION_ENGINE,
     TIKA_SERVER_URL,
+    DOCLING_SERVER_URL,
     DOCUMENT_INTELLIGENCE_ENDPOINT,
     DOCUMENT_INTELLIGENCE_KEY,
+    MISTRAL_OCR_API_KEY,
     RAG_TOP_K,
+    RAG_TOP_K_RERANKER,
     RAG_TEXT_SPLITTER,
     TIKTOKEN_ENCODING_NAME,
     PDF_EXTRACT_IMAGES,
@@ -211,10 +219,12 @@ from open_webui.config import (
     SERPSTACK_API_KEY,
     SERPSTACK_HTTPS,
     TAVILY_API_KEY,
+    TAVILY_EXTRACT_DEPTH,
     BING_SEARCH_V7_ENDPOINT,
     BING_SEARCH_V7_SUBSCRIPTION_KEY,
     BRAVE_SEARCH_API_KEY,
     EXA_API_KEY,
+    PERPLEXITY_API_KEY,
     KAGI_SEARCH_API_KEY,
     MOJEEK_SEARCH_API_KEY,
     BOCHA_SEARCH_API_KEY,
@@ -246,6 +256,7 @@ from open_webui.config import (
     ENABLE_CHANNELS,
     ENABLE_COMMUNITY_SHARING,
     ENABLE_MESSAGE_RATING,
+    ENABLE_USER_WEBHOOKS,
     ENABLE_EVALUATION_ARENA_MODELS,
     USER_PERMISSIONS,
     DEFAULT_USER_ROLE,
@@ -310,6 +321,9 @@ from open_webui.env import (
     AUDIT_EXCLUDED_PATHS,
     AUDIT_LOG_LEVEL,
     CHANGELOG,
+    REDIS_URL,
+    REDIS_SENTINEL_HOSTS,
+    REDIS_SENTINEL_PORT,
     GLOBAL_LOG_LEVEL,
     MAX_BODY_LOG_SIZE,
     SAFE_MODE,
@@ -325,6 +339,7 @@ from open_webui.env import (
     BYPASS_MODEL_ACCESS_CONTROL,
     RESET_CONFIG_ON_START,
     OFFLINE_MODE,
+    ENABLE_OTEL,
 )
 
 
@@ -343,6 +358,7 @@ from open_webui.utils.access_control import has_access
 
 from open_webui.utils.auth import (
     get_license_data,
+    get_http_authorization_cred,
     decode_token,
     get_admin_user,
     get_verified_user,
@@ -352,6 +368,8 @@ from open_webui.utils.security_headers import SecurityHeadersMiddleware
 
 from open_webui.tasks import stop_task, list_tasks  # Import from tasks.py
 
+from open_webui.utils.redis import get_sentinels_from_env
+
 
 if SAFE_MODE:
     print("SAFE MODE ENABLED")
@@ -400,8 +418,8 @@ async def lifespan(app: FastAPI):
     if RESET_CONFIG_ON_START:
         reset_config()
 
-    if app.state.config.LICENSE_KEY:
-        get_license_data(app, app.state.config.LICENSE_KEY)
+    if LICENSE_KEY:
+        get_license_data(app, LICENSE_KEY)
 
     asyncio.create_task(periodic_usage_pool_cleanup())
     yield
@@ -416,10 +434,26 @@ app = FastAPI(
 
 oauth_manager = OAuthManager(app)
 
-app.state.config = AppConfig()
+app.state.config = AppConfig(
+    redis_url=REDIS_URL,
+    redis_sentinels=get_sentinels_from_env(REDIS_SENTINEL_HOSTS, REDIS_SENTINEL_PORT),
+)
 
 app.state.WEBUI_NAME = WEBUI_NAME
-app.state.config.LICENSE_KEY = LICENSE_KEY
+app.state.LICENSE_METADATA = None
+
+
+########################################
+#
+# OPENTELEMETRY
+#
+########################################
+
+if ENABLE_OTEL:
+    from open_webui.utils.telemetry.setup import setup as setup_opentelemetry
+
+    setup_opentelemetry(app=app, db_engine=engine)
+
 
 ########################################
 #
@@ -447,6 +481,15 @@ app.state.config.OPENAI_API_CONFIGS = OPENAI_API_CONFIGS
 
 app.state.OPENAI_MODELS = {}
 
+########################################
+#
+# TOOL SERVERS
+#
+########################################
+
+app.state.config.TOOL_SERVER_CONNECTIONS = TOOL_SERVER_CONNECTIONS
+app.state.TOOL_SERVERS = []
+
 ########################################
 #
 # DIRECT CONNECTIONS
@@ -490,6 +533,7 @@ app.state.config.MODEL_ORDER_LIST = MODEL_ORDER_LIST
 app.state.config.ENABLE_CHANNELS = ENABLE_CHANNELS
 app.state.config.ENABLE_COMMUNITY_SHARING = ENABLE_COMMUNITY_SHARING
 app.state.config.ENABLE_MESSAGE_RATING = ENABLE_MESSAGE_RATING
+app.state.config.ENABLE_USER_WEBHOOKS = ENABLE_USER_WEBHOOKS
 
 app.state.config.ENABLE_EVALUATION_ARENA_MODELS = ENABLE_EVALUATION_ARENA_MODELS
 app.state.config.EVALUATION_ARENA_MODELS = EVALUATION_ARENA_MODELS
@@ -533,6 +577,7 @@ app.state.FUNCTIONS = {}
 
 
 app.state.config.TOP_K = RAG_TOP_K
+app.state.config.TOP_K_RERANKER = RAG_TOP_K_RERANKER
 app.state.config.RELEVANCE_THRESHOLD = RAG_RELEVANCE_THRESHOLD
 app.state.config.FILE_MAX_SIZE = RAG_FILE_MAX_SIZE
 app.state.config.FILE_MAX_COUNT = RAG_FILE_MAX_COUNT
@@ -547,8 +592,10 @@ app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = (
 
 app.state.config.CONTENT_EXTRACTION_ENGINE = CONTENT_EXTRACTION_ENGINE
 app.state.config.TIKA_SERVER_URL = TIKA_SERVER_URL
+app.state.config.DOCLING_SERVER_URL = DOCLING_SERVER_URL
 app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT = DOCUMENT_INTELLIGENCE_ENDPOINT
 app.state.config.DOCUMENT_INTELLIGENCE_KEY = DOCUMENT_INTELLIGENCE_KEY
+app.state.config.MISTRAL_OCR_API_KEY = MISTRAL_OCR_API_KEY
 
 app.state.config.TEXT_SPLITTER = RAG_TEXT_SPLITTER
 app.state.config.TIKTOKEN_ENCODING_NAME = TIKTOKEN_ENCODING_NAME
@@ -603,14 +650,17 @@ app.state.config.JINA_API_KEY = JINA_API_KEY
 app.state.config.BING_SEARCH_V7_ENDPOINT = BING_SEARCH_V7_ENDPOINT
 app.state.config.BING_SEARCH_V7_SUBSCRIPTION_KEY = BING_SEARCH_V7_SUBSCRIPTION_KEY
 app.state.config.EXA_API_KEY = EXA_API_KEY
+app.state.config.PERPLEXITY_API_KEY = PERPLEXITY_API_KEY
 
 app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = RAG_WEB_SEARCH_RESULT_COUNT
 app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = RAG_WEB_SEARCH_CONCURRENT_REQUESTS
 app.state.config.RAG_WEB_LOADER_ENGINE = RAG_WEB_LOADER_ENGINE
 app.state.config.RAG_WEB_SEARCH_TRUST_ENV = RAG_WEB_SEARCH_TRUST_ENV
 app.state.config.PLAYWRIGHT_WS_URI = PLAYWRIGHT_WS_URI
+app.state.config.PLAYWRIGHT_TIMEOUT = PLAYWRIGHT_TIMEOUT
 app.state.config.FIRECRAWL_API_BASE_URL = FIRECRAWL_API_BASE_URL
 app.state.config.FIRECRAWL_API_KEY = FIRECRAWL_API_KEY
+app.state.config.TAVILY_EXTRACT_DEPTH = TAVILY_EXTRACT_DEPTH
 
 app.state.EMBEDDING_FUNCTION = None
 app.state.ef = None
@@ -658,6 +708,7 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
 #
 ########################################
 
+app.state.config.ENABLE_CODE_EXECUTION = ENABLE_CODE_EXECUTION
 app.state.config.CODE_EXECUTION_ENGINE = CODE_EXECUTION_ENGINE
 app.state.config.CODE_EXECUTION_JUPYTER_URL = CODE_EXECUTION_JUPYTER_URL
 app.state.config.CODE_EXECUTION_JUPYTER_AUTH = CODE_EXECUTION_JUPYTER_AUTH
@@ -825,6 +876,10 @@ async def commit_session_after_request(request: Request, call_next):
 @app.middleware("http")
 async def check_url(request: Request, call_next):
     start_time = int(time.time())
+    request.state.token = get_http_authorization_cred(
+        request.headers.get("Authorization")
+    )
+
     request.state.enable_api_key = app.state.config.ENABLE_API_KEY
     response = await call_next(request)
     process_time = int(time.time()) - start_time
@@ -943,14 +998,24 @@ async def get_models(request: Request, user=Depends(get_verified_user)):
 
         return filtered_models
 
-    models = await get_all_models(request, user=user)
+    all_models = await get_all_models(request, user=user)
 
-    # Filter out filter pipelines
-    models = [
-        model
-        for model in models
-        if "pipeline" not in model or model["pipeline"].get("type", None) != "filter"
-    ]
+    models = []
+    for model in all_models:
+        # Filter out filter pipelines
+        if "pipeline" in model and model["pipeline"].get("type", None) == "filter":
+            continue
+
+        model_tags = [
+            tag.get("name")
+            for tag in model.get("info", {}).get("meta", {}).get("tags", [])
+        ]
+        tags = [tag.get("name") for tag in model.get("tags", [])]
+
+        tags = list(set(model_tags + tags))
+        model["tags"] = [{"name": tag} for tag in tags]
+
+        models.append(model)
 
     model_order_list = request.app.state.config.MODEL_ORDER_LIST
     if model_order_list:
@@ -972,7 +1037,7 @@ async def get_models(request: Request, user=Depends(get_verified_user)):
 
 @app.get("/api/models/base")
 async def get_base_models(request: Request, user=Depends(get_admin_user)):
-    models = await get_all_base_models(request)
+    models = await get_all_base_models(request, user=user)
     return {"data": models}
 
 
@@ -1016,10 +1081,11 @@ async def chat_completion(
             "message_id": form_data.pop("id", None),
             "session_id": form_data.pop("session_id", None),
             "tool_ids": form_data.get("tool_ids", None),
+            "tool_servers": form_data.pop("tool_servers", None),
             "files": form_data.get("files", None),
             "features": form_data.get("features", None),
             "variables": form_data.get("variables", None),
-            "model": model_info.model_dump() if model_info else model,
+            "model": model,
             "direct": model_item.get("direct", False),
             **(
                 {"function_calling": "native"}
@@ -1037,11 +1103,19 @@ async def chat_completion(
         form_data["metadata"] = metadata
 
         form_data, metadata, events = await process_chat_payload(
-            request, form_data, metadata, user, model
+            request, form_data, user, metadata, model
         )
 
     except Exception as e:
         log.debug(f"Error processing chat payload: {e}")
+        Chats.upsert_message_to_chat_by_id_and_message_id(
+            metadata["chat_id"],
+            metadata["message_id"],
+            {
+                "error": {"content": str(e)},
+            },
+        )
+
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,
             detail=str(e),
@@ -1051,7 +1125,7 @@ async def chat_completion(
         response = await chat_completion_handler(request, form_data, user)
 
         return await process_chat_response(
-            request, response, form_data, user, events, metadata, tasks
+            request, response, form_data, user, metadata, model, events, tasks
         )
     except Exception as e:
         raise HTTPException(
@@ -1140,9 +1214,10 @@ async def get_app_config(request: Request):
         if data is not None and "id" in data:
             user = Users.get_user_by_id(data["id"])
 
+    user_count = Users.get_num_users()
     onboarding = False
+
     if user is None:
-        user_count = Users.get_num_users()
         onboarding = user_count == 0
 
     return {
@@ -1170,11 +1245,13 @@ async def get_app_config(request: Request):
                     "enable_direct_connections": app.state.config.ENABLE_DIRECT_CONNECTIONS,
                     "enable_channels": app.state.config.ENABLE_CHANNELS,
                     "enable_web_search": app.state.config.ENABLE_RAG_WEB_SEARCH,
+                    "enable_code_execution": app.state.config.ENABLE_CODE_EXECUTION,
                     "enable_code_interpreter": app.state.config.ENABLE_CODE_INTERPRETER,
                     "enable_image_generation": app.state.config.ENABLE_IMAGE_GENERATION,
                     "enable_autocomplete_generation": app.state.config.ENABLE_AUTOCOMPLETE_GENERATION,
                     "enable_community_sharing": app.state.config.ENABLE_COMMUNITY_SHARING,
                     "enable_message_rating": app.state.config.ENABLE_MESSAGE_RATING,
+                    "enable_user_webhooks": app.state.config.ENABLE_USER_WEBHOOKS,
                     "enable_admin_export": ENABLE_ADMIN_EXPORT,
                     "enable_admin_chat_access": ENABLE_ADMIN_CHAT_ACCESS,
                     "enable_google_drive_integration": app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION,
@@ -1188,6 +1265,7 @@ async def get_app_config(request: Request):
             {
                 "default_models": app.state.config.DEFAULT_MODELS,
                 "default_prompt_suggestions": app.state.config.DEFAULT_PROMPT_SUGGESTIONS,
+                "user_count": user_count,
                 "code": {
                     "engine": app.state.config.CODE_EXECUTION_ENGINE,
                 },
@@ -1211,6 +1289,14 @@ async def get_app_config(request: Request):
                     "api_key": GOOGLE_DRIVE_API_KEY.value,
                 },
                 "onedrive": {"client_id": ONEDRIVE_CLIENT_ID.value},
+                "license_metadata": app.state.LICENSE_METADATA,
+                **(
+                    {
+                        "active_entries": app.state.USER_COUNT,
+                    }
+                    if user.role == "admin"
+                    else {}
+                ),
             }
             if user is not None
             else {}

backend/open_webui/models/folders.py

@@ -9,6 +9,8 @@ from open_webui.models.chats import Chats
 from open_webui.env import SRC_LOG_LEVELS
 from pydantic import BaseModel, ConfigDict
 from sqlalchemy import BigInteger, Column, Text, JSON, Boolean
+from open_webui.utils.access_control import get_permissions
+
 
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["MODELS"])
@@ -234,15 +236,18 @@ class FolderTable:
             log.error(f"update_folder: {e}")
             return
 
-    def delete_folder_by_id_and_user_id(self, id: str, user_id: str) -> bool:
+    def delete_folder_by_id_and_user_id(
+        self, id: str, user_id: str, delete_chats=True
+    ) -> bool:
         try:
             with get_db() as db:
                 folder = db.query(Folder).filter_by(id=id, user_id=user_id).first()
                 if not folder:
                     return False
 
-                # Delete all chats in the folder
-                Chats.delete_chats_by_user_id_and_folder_id(user_id, folder.id)
+                if delete_chats:
+                    # Delete all chats in the folder
+                    Chats.delete_chats_by_user_id_and_folder_id(user_id, folder.id)
 
                 # Delete all children folders
                 def delete_children(folder):
@@ -250,9 +255,11 @@ class FolderTable:
                         folder.id, user_id
                     )
                     for folder_child in folder_children:
-                        Chats.delete_chats_by_user_id_and_folder_id(
-                            user_id, folder_child.id
-                        )
+                        if delete_chats:
+                            Chats.delete_chats_by_user_id_and_folder_id(
+                                user_id, folder_child.id
+                            )
+
                         delete_children(folder_child)
 
                         folder = db.query(Folder).filter_by(id=folder_child.id).first()

backend/open_webui/retrieval/loaders/main.py

@@ -20,6 +20,9 @@ from langchain_community.document_loaders import (
     YoutubeLoader,
 )
 from langchain_core.documents import Document
+
+from open_webui.retrieval.loaders.mistral import MistralLoader
+
 from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL
 
 logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
@@ -105,7 +108,7 @@ class TikaLoader:
 
         if r.ok:
             raw_metadata = r.json()
-            text = raw_metadata.get("X-TIKA:content", "<No text content found>")
+            text = raw_metadata.get("X-TIKA:content", "<No text content found>").strip()
 
             if "Content-Type" in raw_metadata:
                 headers["Content-Type"] = raw_metadata["Content-Type"]
@@ -117,6 +120,52 @@ class TikaLoader:
             raise Exception(f"Error calling Tika: {r.reason}")
 
 
+class DoclingLoader:
+    def __init__(self, url, file_path=None, mime_type=None):
+        self.url = url.rstrip("/")
+        self.file_path = file_path
+        self.mime_type = mime_type
+
+    def load(self) -> list[Document]:
+        with open(self.file_path, "rb") as f:
+            files = {
+                "files": (
+                    self.file_path,
+                    f,
+                    self.mime_type or "application/octet-stream",
+                )
+            }
+
+            params = {
+                "image_export_mode": "placeholder",
+                "table_mode": "accurate",
+            }
+
+            endpoint = f"{self.url}/v1alpha/convert/file"
+            r = requests.post(endpoint, files=files, data=params)
+
+        if r.ok:
+            result = r.json()
+            document_data = result.get("document", {})
+            text = document_data.get("md_content", "<No text content found>")
+
+            metadata = {"Content-Type": self.mime_type} if self.mime_type else {}
+
+            log.debug("Docling extracted text: %s", text)
+
+            return [Document(page_content=text, metadata=metadata)]
+        else:
+            error_msg = f"Error calling Docling API: {r.reason}"
+            if r.text:
+                try:
+                    error_data = r.json()
+                    if "detail" in error_data:
+                        error_msg += f" - {error_data['detail']}"
+                except Exception:
+                    error_msg += f" - {r.text}"
+            raise Exception(f"Error calling Docling: {error_msg}")
+
+
 class Loader:
     def __init__(self, engine: str = "", **kwargs):
         self.engine = engine
@@ -135,13 +184,16 @@ class Loader:
             for doc in docs
         ]
 
+    def _is_text_file(self, file_ext: str, file_content_type: str) -> bool:
+        return file_ext in known_source_ext or (
+            file_content_type and file_content_type.find("text/") >= 0
+        )
+
     def _get_loader(self, filename: str, file_content_type: str, file_path: str):
         file_ext = filename.split(".")[-1].lower()
 
         if self.engine == "tika" and self.kwargs.get("TIKA_SERVER_URL"):
-            if file_ext in known_source_ext or (
-                file_content_type and file_content_type.find("text/") >= 0
-            ):
+            if self._is_text_file(file_ext, file_content_type):
                 loader = TextLoader(file_path, autodetect_encoding=True)
             else:
                 loader = TikaLoader(
@@ -149,6 +201,15 @@ class Loader:
                     file_path=file_path,
                     mime_type=file_content_type,
                 )
+        elif self.engine == "docling" and self.kwargs.get("DOCLING_SERVER_URL"):
+            if self._is_text_file(file_ext, file_content_type):
+                loader = TextLoader(file_path, autodetect_encoding=True)
+            else:
+                loader = DoclingLoader(
+                    url=self.kwargs.get("DOCLING_SERVER_URL"),
+                    file_path=file_path,
+                    mime_type=file_content_type,
+                )
         elif (
             self.engine == "document_intelligence"
             and self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT") != ""
@@ -170,13 +231,22 @@ class Loader:
                 api_endpoint=self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT"),
                 api_key=self.kwargs.get("DOCUMENT_INTELLIGENCE_KEY"),
             )
+        elif (
+            self.engine == "mistral_ocr"
+            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
+            )
         else:
             if file_ext == "pdf":
                 loader = PyPDFLoader(
                     file_path, extract_images=self.kwargs.get("PDF_EXTRACT_IMAGES")
                 )
             elif file_ext == "csv":
-                loader = CSVLoader(file_path)
+                loader = CSVLoader(file_path, autodetect_encoding=True)
             elif file_ext == "rst":
                 loader = UnstructuredRSTLoader(file_path, mode="elements")
             elif file_ext == "xml":
@@ -205,9 +275,7 @@ class Loader:
                 loader = UnstructuredPowerPointLoader(file_path)
             elif file_ext == "msg":
                 loader = OutlookMessageLoader(file_path)
-            elif file_ext in known_source_ext or (
-                file_content_type and file_content_type.find("text/") >= 0
-            ):
+            elif self._is_text_file(file_ext, file_content_type):
                 loader = TextLoader(file_path, autodetect_encoding=True)
             else:
                 loader = TextLoader(file_path, autodetect_encoding=True)

backend/open_webui/retrieval/loaders/mistral.py

@@ -0,0 +1,225 @@
+import requests
+import logging
+import os
+import sys
+from typing import List, Dict, Any
+
+from langchain_core.documents import Document
+from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL
+
+logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+class MistralLoader:
+    """
+    Loads documents by processing them through the Mistral OCR API.
+    """
+
+    BASE_API_URL = "https://api.mistral.ai/v1"
+
+    def __init__(self, api_key: str, file_path: str):
+        """
+        Initializes the loader.
+
+        Args:
+            api_key: Your Mistral API key.
+            file_path: The local path to the PDF file to process.
+        """
+        if not api_key:
+            raise ValueError("API key cannot be empty.")
+        if not os.path.exists(file_path):
+            raise FileNotFoundError(f"File not found at {file_path}")
+
+        self.api_key = api_key
+        self.file_path = file_path
+        self.headers = {"Authorization": f"Bearer {self.api_key}"}
+
+    def _handle_response(self, response: requests.Response) -> Dict[str, Any]:
+        """Checks response status and returns JSON content."""
+        try:
+            response.raise_for_status()  # Raises HTTPError for bad responses (4xx or 5xx)
+            # Handle potential empty responses for certain successful requests (e.g., DELETE)
+            if response.status_code == 204 or not response.content:
+                return {}  # Return empty dict if no content
+            return response.json()
+        except requests.exceptions.HTTPError as http_err:
+            log.error(f"HTTP error occurred: {http_err} - Response: {response.text}")
+            raise
+        except requests.exceptions.RequestException as req_err:
+            log.error(f"Request exception occurred: {req_err}")
+            raise
+        except ValueError as json_err:  # Includes JSONDecodeError
+            log.error(f"JSON decode error: {json_err} - Response: {response.text}")
+            raise  # Re-raise after logging
+
+    def _upload_file(self) -> str:
+        """Uploads the file to Mistral for OCR processing."""
+        log.info("Uploading file to Mistral API")
+        url = f"{self.BASE_API_URL}/files"
+        file_name = os.path.basename(self.file_path)
+
+        try:
+            with open(self.file_path, "rb") as f:
+                files = {"file": (file_name, f, "application/pdf")}
+                data = {"purpose": "ocr"}
+
+                upload_headers = self.headers.copy()  # Avoid modifying self.headers
+
+                response = requests.post(
+                    url, headers=upload_headers, files=files, data=data
+                )
+
+            response_data = self._handle_response(response)
+            file_id = response_data.get("id")
+            if not file_id:
+                raise ValueError("File ID not found in upload response.")
+            log.info(f"File uploaded successfully. File ID: {file_id}")
+            return file_id
+        except Exception as e:
+            log.error(f"Failed to upload file: {e}")
+            raise
+
+    def _get_signed_url(self, file_id: str) -> str:
+        """Retrieves a temporary signed URL for the uploaded file."""
+        log.info(f"Getting signed URL for file ID: {file_id}")
+        url = f"{self.BASE_API_URL}/files/{file_id}/url"
+        params = {"expiry": 1}
+        signed_url_headers = {**self.headers, "Accept": "application/json"}
+
+        try:
+            response = requests.get(url, headers=signed_url_headers, params=params)
+            response_data = self._handle_response(response)
+            signed_url = response_data.get("url")
+            if not signed_url:
+                raise ValueError("Signed URL not found in response.")
+            log.info("Signed URL received.")
+            return signed_url
+        except Exception as e:
+            log.error(f"Failed to get signed URL: {e}")
+            raise
+
+    def _process_ocr(self, signed_url: str) -> Dict[str, Any]:
+        """Sends the signed URL to the OCR endpoint for processing."""
+        log.info("Processing OCR via Mistral API")
+        url = f"{self.BASE_API_URL}/ocr"
+        ocr_headers = {
+            **self.headers,
+            "Content-Type": "application/json",
+            "Accept": "application/json",
+        }
+        payload = {
+            "model": "mistral-ocr-latest",
+            "document": {
+                "type": "document_url",
+                "document_url": signed_url,
+            },
+            "include_image_base64": False,
+        }
+
+        try:
+            response = requests.post(url, headers=ocr_headers, json=payload)
+            ocr_response = self._handle_response(response)
+            log.info("OCR processing done.")
+            log.debug("OCR response: %s", ocr_response)
+            return ocr_response
+        except Exception as e:
+            log.error(f"Failed during OCR processing: {e}")
+            raise
+
+    def _delete_file(self, file_id: str) -> None:
+        """Deletes the file from Mistral storage."""
+        log.info(f"Deleting uploaded file ID: {file_id}")
+        url = f"{self.BASE_API_URL}/files/{file_id}"
+        # No specific Accept header needed, default or Authorization is usually sufficient
+
+        try:
+            response = requests.delete(url, headers=self.headers)
+            delete_response = self._handle_response(
+                response
+            )  # Check status, ignore response body unless needed
+            log.info(
+                f"File deleted successfully: {delete_response}"
+            )  # Log the response if available
+        except Exception as e:
+            # Log error but don't necessarily halt execution if deletion fails
+            log.error(f"Failed to delete file ID {file_id}: {e}")
+            # Depending on requirements, you might choose to raise the error here
+
+    def load(self) -> List[Document]:
+        """
+        Executes the full OCR workflow: upload, get URL, process OCR, delete file.
+
+        Returns:
+            A list of Document objects, one for each page processed.
+        """
+        file_id = None
+        try:
+            # 1. Upload file
+            file_id = self._upload_file()
+
+            # 2. Get Signed URL
+            signed_url = self._get_signed_url(file_id)
+
+            # 3. Process OCR
+            ocr_response = self._process_ocr(signed_url)
+
+            # 4. Process results
+            pages_data = ocr_response.get("pages")
+            if not pages_data:
+                log.warning("No pages found in OCR response.")
+                return [Document(page_content="No text content found", metadata={})]
+
+            documents = []
+            total_pages = len(pages_data)
+            for page_data in pages_data:
+                page_content = page_data.get("markdown")
+                page_index = page_data.get("index")  # API uses 0-based index
+
+                if page_content is not None and page_index is not None:
+                    documents.append(
+                        Document(
+                            page_content=page_content,
+                            metadata={
+                                "page": page_index,  # 0-based index from API
+                                "page_label": page_index
+                                + 1,  # 1-based label for convenience
+                                "total_pages": total_pages,
+                                # Add other relevant metadata from page_data if available/needed
+                                # e.g., page_data.get('width'), page_data.get('height')
+                            },
+                        )
+                    )
+                else:
+                    log.warning(
+                        f"Skipping page due to missing 'markdown' or 'index'. Data: {page_data}"
+                    )
+
+            if not documents:
+                # Case where pages existed but none had valid markdown/index
+                log.warning(
+                    "OCR response contained pages, but none had valid content/index."
+                )
+                return [
+                    Document(
+                        page_content="No text content found in valid pages", metadata={}
+                    )
+                ]
+
+            return documents
+
+        except Exception as e:
+            log.error(f"An error occurred during the loading process: {e}")
+            # Return an empty list or a specific error document on failure
+            return [Document(page_content=f"Error during processing: {e}", metadata={})]
+        finally:
+            # 5. Delete file (attempt even if prior steps failed after upload)
+            if file_id:
+                try:
+                    self._delete_file(file_id)
+                except Exception as del_e:
+                    # Log deletion error, but don't overwrite original error if one occurred
+                    log.error(
+                        f"Cleanup error: Could not delete file ID {file_id}. Reason: {del_e}"
+                    )

backend/open_webui/retrieval/loaders/tavily.py

@@ -0,0 +1,93 @@
+import requests
+import logging
+from typing import Iterator, List, Literal, Union
+
+from langchain_core.document_loaders import BaseLoader
+from langchain_core.documents import Document
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+class TavilyLoader(BaseLoader):
+    """Extract web page content from URLs using Tavily Extract API.
+
+    This is a LangChain document loader that uses Tavily's Extract API to
+    retrieve content from web pages and return it as Document objects.
+
+    Args:
+        urls: URL or list of URLs to extract content from.
+        api_key: The Tavily API key.
+        extract_depth: Depth of extraction, either "basic" or "advanced".
+        continue_on_failure: Whether to continue if extraction of a URL fails.
+    """
+
+    def __init__(
+        self,
+        urls: Union[str, List[str]],
+        api_key: str,
+        extract_depth: Literal["basic", "advanced"] = "basic",
+        continue_on_failure: bool = True,
+    ) -> None:
+        """Initialize Tavily Extract client.
+
+        Args:
+            urls: URL or list of URLs to extract content from.
+            api_key: The Tavily API key.
+            include_images: Whether to include images in the extraction.
+            extract_depth: Depth of extraction, either "basic" or "advanced".
+                advanced extraction retrieves more data, including tables and
+                embedded content, with higher success but may increase latency.
+                basic costs 1 credit per 5 successful URL extractions,
+                advanced costs 2 credits per 5 successful URL extractions.
+            continue_on_failure: Whether to continue if extraction of a URL fails.
+        """
+        if not urls:
+            raise ValueError("At least one URL must be provided.")
+
+        self.api_key = api_key
+        self.urls = urls if isinstance(urls, list) else [urls]
+        self.extract_depth = extract_depth
+        self.continue_on_failure = continue_on_failure
+        self.api_url = "https://api.tavily.com/extract"
+
+    def lazy_load(self) -> Iterator[Document]:
+        """Extract and yield documents from the URLs using Tavily Extract API."""
+        batch_size = 20
+        for i in range(0, len(self.urls), batch_size):
+            batch_urls = self.urls[i : i + batch_size]
+            try:
+                headers = {
+                    "Content-Type": "application/json",
+                    "Authorization": f"Bearer {self.api_key}",
+                }
+                # Use string for single URL, array for multiple URLs
+                urls_param = batch_urls[0] if len(batch_urls) == 1 else batch_urls
+                payload = {"urls": urls_param, "extract_depth": self.extract_depth}
+                # Make the API call
+                response = requests.post(self.api_url, headers=headers, json=payload)
+                response.raise_for_status()
+                response_data = response.json()
+                # Process successful results
+                for result in response_data.get("results", []):
+                    url = result.get("url", "")
+                    content = result.get("raw_content", "")
+                    if not content:
+                        log.warning(f"No content extracted from {url}")
+                        continue
+                    # Add URLs as metadata
+                    metadata = {"source": url}
+                    yield Document(
+                        page_content=content,
+                        metadata=metadata,
+                    )
+                for failed in response_data.get("failed_results", []):
+                    url = failed.get("url", "")
+                    error = failed.get("error", "Unknown error")
+                    log.error(f"Failed to extract content from {url}: {error}")
+            except Exception as e:
+                if self.continue_on_failure:
+                    log.error(f"Error extracting content from batch {batch_urls}: {e}")
+                else:
+                    raise e

backend/open_webui/retrieval/utils.py

@@ -1,30 +1,35 @@
 import logging
 import os
-import uuid
 from typing import Optional, Union
 
-import asyncio
 import requests
 import hashlib
+from concurrent.futures import ThreadPoolExecutor
 
 from huggingface_hub import snapshot_download
 from langchain.retrievers import ContextualCompressionRetriever, EnsembleRetriever
 from langchain_community.retrievers import BM25Retriever
 from langchain_core.documents import Document
 
-
 from open_webui.config import VECTOR_DB
 from open_webui.retrieval.vector.connector import VECTOR_DB_CLIENT
-from open_webui.utils.misc import get_last_user_message, calculate_sha256_string
 
 from open_webui.models.users import UserModel
 from open_webui.models.files import Files
 
+from open_webui.retrieval.vector.main import GetResult
+
+
 from open_webui.env import (
     SRC_LOG_LEVELS,
     OFFLINE_MODE,
     ENABLE_FORWARD_USER_INFO_HEADERS,
 )
+from open_webui.config import (
+    RAG_EMBEDDING_QUERY_PREFIX,
+    RAG_EMBEDDING_CONTENT_PREFIX,
+    RAG_EMBEDDING_PREFIX_FIELD_NAME,
+)
 
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["RAG"])
@@ -49,7 +54,7 @@ class VectorSearchRetriever(BaseRetriever):
     ) -> list[Document]:
         result = VECTOR_DB_CLIENT.search(
             collection_name=self.collection_name,
-            vectors=[self.embedding_function(query)],
+            vectors=[self.embedding_function(query, RAG_EMBEDDING_QUERY_PREFIX)],
             limit=self.top_k,
         )
 
@@ -102,18 +107,18 @@ def get_doc(collection_name: str, user: UserModel = None):
 
 def query_doc_with_hybrid_search(
     collection_name: str,
+    collection_result: GetResult,
     query: str,
     embedding_function,
     k: int,
     reranking_function,
+    k_reranker: int,
     r: float,
 ) -> dict:
     try:
-        result = VECTOR_DB_CLIENT.get(collection_name=collection_name)
-
         bm25_retriever = BM25Retriever.from_texts(
-            texts=result.documents[0],
-            metadatas=result.metadatas[0],
+            texts=collection_result.documents[0],
+            metadatas=collection_result.metadatas[0],
         )
         bm25_retriever.k = k
 
@@ -128,7 +133,7 @@ def query_doc_with_hybrid_search(
         )
         compressor = RerankCompressor(
             embedding_function=embedding_function,
-            top_n=k,
+            top_n=k_reranker,
             reranking_function=reranking_function,
             r_score=r,
         )
@@ -138,10 +143,23 @@ def query_doc_with_hybrid_search(
         )
 
         result = compression_retriever.invoke(query)
+
+        distances = [d.metadata.get("score") for d in result]
+        documents = [d.page_content for d in result]
+        metadatas = [d.metadata for d in result]
+
+        # retrieve only min(k, k_reranker) items, sort and cut by distance if k < k_reranker
+        if k < k_reranker:
+            sorted_items = sorted(
+                zip(distances, metadatas, documents), key=lambda x: x[0], reverse=True
+            )
+            sorted_items = sorted_items[:k]
+            distances, documents, metadatas = map(list, zip(*sorted_items))
+
         result = {
-            "distances": [[d.metadata.get("score") for d in result]],
-            "documents": [[d.page_content for d in result]],
-            "metadatas": [[d.metadata for d in result]],
+            "distances": [distances],
+            "documents": [documents],
+            "metadatas": [metadatas],
         }
 
         log.info(
@@ -174,12 +192,9 @@ def merge_get_results(get_results: list[dict]) -> dict:
     return result
 
 
-def merge_and_sort_query_results(
-    query_results: list[dict], k: int, reverse: bool = False
-) -> dict:
+def merge_and_sort_query_results(query_results: list[dict], k: int) -> dict:
     # Initialize lists to store combined data
-    combined = []
-    seen_hashes = set()  # To store unique document hashes
+    combined = dict()  # To store documents with unique document hashes
 
     for data in query_results:
         distances = data["distances"][0]
@@ -192,12 +207,17 @@ def merge_and_sort_query_results(
                     document.encode()
                 ).hexdigest()  # Compute a hash for uniqueness
 
-                if doc_hash not in seen_hashes:
-                    seen_hashes.add(doc_hash)
-                    combined.append((distance, document, metadata))
+                if doc_hash not in combined.keys():
+                    combined[doc_hash] = (distance, document, metadata)
+                    continue  # if doc is new, no further comparison is needed
 
+                # if doc is alredy in, but new distance is better, update
+                if distance > combined[doc_hash][0]:
+                    combined[doc_hash] = (distance, document, metadata)
+
+    combined = list(combined.values())
     # Sort the list based on distances
-    combined.sort(key=lambda x: x[0], reverse=reverse)
+    combined.sort(key=lambda x: x[0], reverse=True)
 
     # Slice to keep only the top k elements
     sorted_distances, sorted_documents, sorted_metadatas = (
@@ -237,7 +257,7 @@ def query_collection(
 ) -> dict:
     results = []
     for query in queries:
-        query_embedding = embedding_function(query)
+        query_embedding = embedding_function(query, prefix=RAG_EMBEDDING_QUERY_PREFIX)
         for collection_name in collection_names:
             if collection_name:
                 try:
@@ -253,12 +273,7 @@ def query_collection(
             else:
                 pass
 
-    if VECTOR_DB == "chroma":
-        # Chroma uses unconventional cosine similarity, so we don't need to reverse the results
-        # https://docs.trychroma.com/docs/collections/configure#configuring-chroma-collections
-        return merge_and_sort_query_results(results, k=k, reverse=False)
-    else:
-        return merge_and_sort_query_results(results, k=k, reverse=True)
+    return merge_and_sort_query_results(results, k=k)
 
 
 def query_collection_with_hybrid_search(
@@ -267,39 +282,69 @@ def query_collection_with_hybrid_search(
     embedding_function,
     k: int,
     reranking_function,
+    k_reranker: int,
     r: float,
 ) -> dict:
     results = []
     error = False
+    # Fetch collection data once per collection sequentially
+    # Avoid fetching the same data multiple times later
+    collection_results = {}
     for collection_name in collection_names:
         try:
-            for query in queries:
-                result = query_doc_with_hybrid_search(
-                    collection_name=collection_name,
-                    query=query,
-                    embedding_function=embedding_function,
-                    k=k,
-                    reranking_function=reranking_function,
-                    r=r,
-                )
-                results.append(result)
-        except Exception as e:
-            log.exception(
-                "Error when querying the collection with " f"hybrid_search: {e}"
+            collection_results[collection_name] = VECTOR_DB_CLIENT.get(
+                collection_name=collection_name
             )
-            error = True
+        except Exception as e:
+            log.exception(f"Failed to fetch collection {collection_name}: {e}")
+            collection_results[collection_name] = None
 
-    if error:
+    log.info(
+        f"Starting hybrid search for {len(queries)} queries in {len(collection_names)} collections..."
+    )
+
+    def process_query(collection_name, query):
+        try:
+            result = query_doc_with_hybrid_search(
+                collection_name=collection_name,
+                collection_result=collection_results[collection_name],
+                query=query,
+                embedding_function=embedding_function,
+                k=k,
+                reranking_function=reranking_function,
+                k_reranker=k_reranker,
+                r=r,
+            )
+            return result, None
+        except Exception as e:
+            log.exception(f"Error when querying the collection with hybrid_search: {e}")
+            return None, e
+
+    # Prepare tasks for all collections and queries
+    # Avoid running any tasks for collections that failed to fetch data (have assigned None)
+    tasks = [
+        (cn, q)
+        for cn in collection_names
+        if collection_results[cn] is not None
+        for q in queries
+    ]
+
+    with ThreadPoolExecutor() as executor:
+        future_results = [executor.submit(process_query, cn, q) for cn, q in tasks]
+        task_results = [future.result() for future in future_results]
+
+    for result, err in task_results:
+        if err is not None:
+            error = True
+        elif result is not None:
+            results.append(result)
+
+    if error and not results:
         raise Exception(
-            "Hybrid search failed for all collections. Using Non hybrid search as fallback."
+            "Hybrid search failed for all collections. Using Non-hybrid search as fallback."
         )
 
-    if VECTOR_DB == "chroma":
-        # Chroma uses unconventional cosine similarity, so we don't need to reverse the results
-        # https://docs.trychroma.com/docs/collections/configure#configuring-chroma-collections
-        return merge_and_sort_query_results(results, k=k, reverse=False)
-    else:
-        return merge_and_sort_query_results(results, k=k, reverse=True)
+    return merge_and_sort_query_results(results, k=k)
 
 
 def get_embedding_function(
@@ -311,29 +356,38 @@ def get_embedding_function(
     embedding_batch_size,
 ):
     if embedding_engine == "":
-        return lambda query, user=None: embedding_function.encode(query).tolist()
+        return lambda query, prefix=None, user=None: embedding_function.encode(
+            query, **({"prompt": prefix} if prefix else {})
+        ).tolist()
     elif embedding_engine in ["ollama", "openai"]:
-        func = lambda query, user=None: generate_embeddings(
+        func = lambda query, prefix=None, user=None: generate_embeddings(
             engine=embedding_engine,
             model=embedding_model,
             text=query,
+            prefix=prefix,
             url=url,
             key=key,
             user=user,
         )
 
-        def generate_multiple(query, user, func):
+        def generate_multiple(query, prefix, user, func):
             if isinstance(query, list):
                 embeddings = []
                 for i in range(0, len(query), embedding_batch_size):
                     embeddings.extend(
-                        func(query[i : i + embedding_batch_size], user=user)
+                        func(
+                            query[i : i + embedding_batch_size],
+                            prefix=prefix,
+                            user=user,
+                        )
                     )
                 return embeddings
             else:
-                return func(query, user)
+                return func(query, prefix, user)
 
-        return lambda query, user=None: generate_multiple(query, user, func)
+        return lambda query, prefix=None, user=None: generate_multiple(
+            query, prefix, user, func
+        )
     else:
         raise ValueError(f"Unknown embedding engine: {embedding_engine}")
 
@@ -345,6 +399,7 @@ def get_sources_from_files(
     embedding_function,
     k,
     reranking_function,
+    k_reranker,
     r,
     hybrid_search,
     full_context=False,
@@ -414,6 +469,13 @@ def get_sources_from_files(
                             ]
                         ],
                     }
+            elif file.get("file").get("data"):
+                context = {
+                    "documents": [[file.get("file").get("data", {}).get("content")]],
+                    "metadatas": [
+                        [file.get("file").get("data", {}).get("metadata", {})]
+                    ],
+                }
         else:
             collection_names = []
             if file.get("type") == "collection":
@@ -454,6 +516,7 @@ def get_sources_from_files(
                                     embedding_function=embedding_function,
                                     k=k,
                                     reranking_function=reranking_function,
+                                    k_reranker=k_reranker,
                                     r=r,
                                 )
                             except Exception as e:
@@ -546,9 +609,14 @@ def generate_openai_batch_embeddings(
     texts: list[str],
     url: str = "https://api.openai.com/v1",
     key: str = "",
+    prefix: str = None,
     user: UserModel = None,
 ) -> Optional[list[list[float]]]:
     try:
+        json_data = {"input": texts, "model": model}
+        if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
+            json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
+
         r = requests.post(
             f"{url}/embeddings",
             headers={
@@ -565,7 +633,7 @@ def generate_openai_batch_embeddings(
                     else {}
                 ),
             },
-            json={"input": texts, "model": model},
+            json=json_data,
         )
         r.raise_for_status()
         data = r.json()
@@ -579,9 +647,18 @@ def generate_openai_batch_embeddings(
 
 
 def generate_ollama_batch_embeddings(
-    model: str, texts: list[str], url: str, key: str = "", user: UserModel = None
+    model: str,
+    texts: list[str],
+    url: str,
+    key: str = "",
+    prefix: str = None,
+    user: UserModel = None,
 ) -> Optional[list[list[float]]]:
     try:
+        json_data = {"input": texts, "model": model}
+        if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
+            json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
+
         r = requests.post(
             f"{url}/api/embed",
             headers={
@@ -598,7 +675,7 @@ def generate_ollama_batch_embeddings(
                     else {}
                 ),
             },
-            json={"input": texts, "model": model},
+            json=json_data,
         )
         r.raise_for_status()
         data = r.json()
@@ -612,15 +689,34 @@ def generate_ollama_batch_embeddings(
         return None
 
 
-def generate_embeddings(engine: str, model: str, text: Union[str, list[str]], **kwargs):
+def generate_embeddings(
+    engine: str,
+    model: str,
+    text: Union[str, list[str]],
+    prefix: Union[str, None] = None,
+    **kwargs,
+):
     url = kwargs.get("url", "")
     key = kwargs.get("key", "")
     user = kwargs.get("user")
 
+    if prefix is not None and RAG_EMBEDDING_PREFIX_FIELD_NAME is None:
+        if isinstance(text, list):
+            text = [f"{prefix}{text_element}" for text_element in text]
+        else:
+            text = f"{prefix}{text}"
+
     if engine == "ollama":
         if isinstance(text, list):
             embeddings = generate_ollama_batch_embeddings(
-                **{"model": model, "texts": text, "url": url, "key": key, "user": user}
+                **{
+                    "model": model,
+                    "texts": text,
+                    "url": url,
+                    "key": key,
+                    "prefix": prefix,
+                    "user": user,
+                }
             )
         else:
             embeddings = generate_ollama_batch_embeddings(
@@ -629,16 +725,20 @@ def generate_embeddings(engine: str, model: str, text: Union[str, list[str]], **
                     "texts": [text],
                     "url": url,
                     "key": key,
+                    "prefix": prefix,
                     "user": user,
                 }
             )
         return embeddings[0] if isinstance(text, str) else embeddings
     elif engine == "openai":
         if isinstance(text, list):
-            embeddings = generate_openai_batch_embeddings(model, text, url, key, user)
+            embeddings = generate_openai_batch_embeddings(
+                model, text, url, key, prefix, user
+            )
         else:
-            embeddings = generate_openai_batch_embeddings(model, [text], url, key, user)
-
+            embeddings = generate_openai_batch_embeddings(
+                model, [text], url, key, prefix, user
+            )
         return embeddings[0] if isinstance(text, str) else embeddings
 
 
@@ -674,9 +774,9 @@ class RerankCompressor(BaseDocumentCompressor):
         else:
             from sentence_transformers import util
 
-            query_embedding = self.embedding_function(query)
+            query_embedding = self.embedding_function(query, RAG_EMBEDDING_QUERY_PREFIX)
             document_embedding = self.embedding_function(
-                [doc.page_content for doc in documents]
+                [doc.page_content for doc in documents], RAG_EMBEDDING_CONTENT_PREFIX
             )
             scores = util.cos_sim(query_embedding, document_embedding)[0]
 

backend/open_webui/retrieval/vector/connector.py

@@ -16,6 +16,10 @@ elif VECTOR_DB == "pgvector":
     from open_webui.retrieval.vector.dbs.pgvector import PgvectorClient
 
     VECTOR_DB_CLIENT = PgvectorClient()
+elif VECTOR_DB == "elasticsearch":
+    from open_webui.retrieval.vector.dbs.elasticsearch import ElasticsearchClient
+
+    VECTOR_DB_CLIENT = ElasticsearchClient()
 else:
     from open_webui.retrieval.vector.dbs.chroma import ChromaClient
 

backend/open_webui/retrieval/vector/dbs/chroma.py

@@ -75,10 +75,16 @@ class ChromaClient:
                     n_results=limit,
                 )
 
+                # chromadb has cosine distance, 2 (worst) -> 0 (best). Re-odering to 0 -> 1
+                # https://docs.trychroma.com/docs/collections/configure cosine equation
+                distances: list = result["distances"][0]
+                distances = [2 - dist for dist in distances]
+                distances = [[dist / 2 for dist in distances]]
+
                 return SearchResult(
                     **{
                         "ids": result["ids"],
-                        "distances": result["distances"],
+                        "distances": distances,
                         "documents": result["documents"],
                         "metadatas": result["metadatas"],
                     }
@@ -166,12 +172,19 @@ class ChromaClient:
         filter: Optional[dict] = None,
     ):
         # Delete the items from the collection based on the ids.
-        collection = self.client.get_collection(name=collection_name)
-        if collection:
-            if ids:
-                collection.delete(ids=ids)
-            elif filter:
-                collection.delete(where=filter)
+        try:
+            collection = self.client.get_collection(name=collection_name)
+            if collection:
+                if ids:
+                    collection.delete(ids=ids)
+                elif filter:
+                    collection.delete(where=filter)
+        except Exception as e:
+            # If collection doesn't exist, that's fine - nothing to delete
+            log.debug(
+                f"Attempted to delete from non-existent collection {collection_name}. Ignoring."
+            )
+            pass
 
     def reset(self):
         # Resets the database. This will delete all collections and item entries.

backend/open_webui/retrieval/vector/dbs/elasticsearch.py

@@ -0,0 +1,295 @@
+from elasticsearch import Elasticsearch, BadRequestError
+from typing import Optional
+import ssl
+from elasticsearch.helpers import bulk, scan
+from open_webui.retrieval.vector.main import VectorItem, SearchResult, GetResult
+from open_webui.config import (
+    ELASTICSEARCH_URL,
+    ELASTICSEARCH_CA_CERTS,
+    ELASTICSEARCH_API_KEY,
+    ELASTICSEARCH_USERNAME,
+    ELASTICSEARCH_PASSWORD,
+    ELASTICSEARCH_CLOUD_ID,
+    ELASTICSEARCH_INDEX_PREFIX,
+    SSL_ASSERT_FINGERPRINT,
+)
+
+
+class ElasticsearchClient:
+    """
+    Important:
+    in order to reduce the number of indexes and since the embedding vector length is fixed, we avoid creating
+    an index for each file but store it as a text field, while seperating to different index
+    baesd on the embedding length.
+    """
+
+    def __init__(self):
+        self.index_prefix = ELASTICSEARCH_INDEX_PREFIX
+        self.client = Elasticsearch(
+            hosts=[ELASTICSEARCH_URL],
+            ca_certs=ELASTICSEARCH_CA_CERTS,
+            api_key=ELASTICSEARCH_API_KEY,
+            cloud_id=ELASTICSEARCH_CLOUD_ID,
+            basic_auth=(
+                (ELASTICSEARCH_USERNAME, ELASTICSEARCH_PASSWORD)
+                if ELASTICSEARCH_USERNAME and ELASTICSEARCH_PASSWORD
+                else None
+            ),
+            ssl_assert_fingerprint=SSL_ASSERT_FINGERPRINT,
+        )
+
+    # Status: works
+    def _get_index_name(self, dimension: int) -> str:
+        return f"{self.index_prefix}_d{str(dimension)}"
+
+    # Status: works
+    def _scan_result_to_get_result(self, result) -> GetResult:
+        if not result:
+            return None
+        ids = []
+        documents = []
+        metadatas = []
+
+        for hit in result:
+            ids.append(hit["_id"])
+            documents.append(hit["_source"].get("text"))
+            metadatas.append(hit["_source"].get("metadata"))
+
+        return GetResult(ids=[ids], documents=[documents], metadatas=[metadatas])
+
+    # Status: works
+    def _result_to_get_result(self, result) -> GetResult:
+        if not result["hits"]["hits"]:
+            return None
+        ids = []
+        documents = []
+        metadatas = []
+
+        for hit in result["hits"]["hits"]:
+            ids.append(hit["_id"])
+            documents.append(hit["_source"].get("text"))
+            metadatas.append(hit["_source"].get("metadata"))
+
+        return GetResult(ids=[ids], documents=[documents], metadatas=[metadatas])
+
+    # Status: works
+    def _result_to_search_result(self, result) -> SearchResult:
+        ids = []
+        distances = []
+        documents = []
+        metadatas = []
+
+        for hit in result["hits"]["hits"]:
+            ids.append(hit["_id"])
+            distances.append(hit["_score"])
+            documents.append(hit["_source"].get("text"))
+            metadatas.append(hit["_source"].get("metadata"))
+
+        return SearchResult(
+            ids=[ids],
+            distances=[distances],
+            documents=[documents],
+            metadatas=[metadatas],
+        )
+
+    # Status: works
+    def _create_index(self, dimension: int):
+        body = {
+            "mappings": {
+                "dynamic_templates": [
+                    {
+                        "strings": {
+                            "match_mapping_type": "string",
+                            "mapping": {"type": "keyword"},
+                        }
+                    }
+                ],
+                "properties": {
+                    "collection": {"type": "keyword"},
+                    "id": {"type": "keyword"},
+                    "vector": {
+                        "type": "dense_vector",
+                        "dims": dimension,  # Adjust based on your vector dimensions
+                        "index": True,
+                        "similarity": "cosine",
+                    },
+                    "text": {"type": "text"},
+                    "metadata": {"type": "object"},
+                },
+            }
+        }
+        self.client.indices.create(index=self._get_index_name(dimension), body=body)
+
+    # Status: works
+
+    def _create_batches(self, items: list[VectorItem], batch_size=100):
+        for i in range(0, len(items), batch_size):
+            yield items[i : min(i + batch_size, len(items))]
+
+    # Status: works
+    def has_collection(self, collection_name) -> bool:
+        query_body = {"query": {"bool": {"filter": []}}}
+        query_body["query"]["bool"]["filter"].append(
+            {"term": {"collection": collection_name}}
+        )
+
+        try:
+            result = self.client.count(index=f"{self.index_prefix}*", body=query_body)
+
+            return result.body["count"] > 0
+        except Exception as e:
+            return None
+
+    def delete_collection(self, collection_name: str):
+        query = {"query": {"term": {"collection": collection_name}}}
+        self.client.delete_by_query(index=f"{self.index_prefix}*", body=query)
+
+    # Status: works
+    def search(
+        self, collection_name: str, vectors: list[list[float]], limit: int
+    ) -> Optional[SearchResult]:
+        query = {
+            "size": limit,
+            "_source": ["text", "metadata"],
+            "query": {
+                "script_score": {
+                    "query": {
+                        "bool": {"filter": [{"term": {"collection": collection_name}}]}
+                    },
+                    "script": {
+                        "source": "cosineSimilarity(params.vector, 'vector') + 1.0",
+                        "params": {
+                            "vector": vectors[0]
+                        },  # Assuming single query vector
+                    },
+                }
+            },
+        }
+
+        result = self.client.search(
+            index=self._get_index_name(len(vectors[0])), body=query
+        )
+
+        return self._result_to_search_result(result)
+
+    # Status: only tested halfwat
+    def query(
+        self, collection_name: str, filter: dict, limit: Optional[int] = None
+    ) -> Optional[GetResult]:
+        if not self.has_collection(collection_name):
+            return None
+
+        query_body = {
+            "query": {"bool": {"filter": []}},
+            "_source": ["text", "metadata"],
+        }
+
+        for field, value in filter.items():
+            query_body["query"]["bool"]["filter"].append({"term": {field: value}})
+        query_body["query"]["bool"]["filter"].append(
+            {"term": {"collection": collection_name}}
+        )
+        size = limit if limit else 10
+
+        try:
+            result = self.client.search(
+                index=f"{self.index_prefix}*",
+                body=query_body,
+                size=size,
+            )
+
+            return self._result_to_get_result(result)
+
+        except Exception as e:
+            return None
+
+    # Status: works
+    def _has_index(self, dimension: int):
+        return self.client.indices.exists(
+            index=self._get_index_name(dimension=dimension)
+        )
+
+    def get_or_create_index(self, dimension: int):
+        if not self._has_index(dimension=dimension):
+            self._create_index(dimension=dimension)
+
+    # Status: works
+    def get(self, collection_name: str) -> Optional[GetResult]:
+        # Get all the items in the collection.
+        query = {
+            "query": {"bool": {"filter": [{"term": {"collection": collection_name}}]}},
+            "_source": ["text", "metadata"],
+        }
+        results = list(scan(self.client, index=f"{self.index_prefix}*", query=query))
+
+        return self._scan_result_to_get_result(results)
+
+    # Status: works
+    def insert(self, collection_name: str, items: list[VectorItem]):
+        if not self._has_index(dimension=len(items[0]["vector"])):
+            self._create_index(dimension=len(items[0]["vector"]))
+
+        for batch in self._create_batches(items):
+            actions = [
+                {
+                    "_index": self._get_index_name(dimension=len(items[0]["vector"])),
+                    "_id": item["id"],
+                    "_source": {
+                        "collection": collection_name,
+                        "vector": item["vector"],
+                        "text": item["text"],
+                        "metadata": item["metadata"],
+                    },
+                }
+                for item in batch
+            ]
+            bulk(self.client, actions)
+
+    # Upsert documents using the update API with doc_as_upsert=True.
+    def upsert(self, collection_name: str, items: list[VectorItem]):
+        if not self._has_index(dimension=len(items[0]["vector"])):
+            self._create_index(dimension=len(items[0]["vector"]))
+        for batch in self._create_batches(items):
+            actions = [
+                {
+                    "_op_type": "update",
+                    "_index": self._get_index_name(dimension=len(item["vector"])),
+                    "_id": item["id"],
+                    "doc": {
+                        "collection": collection_name,
+                        "vector": item["vector"],
+                        "text": item["text"],
+                        "metadata": item["metadata"],
+                    },
+                    "doc_as_upsert": True,
+                }
+                for item in batch
+            ]
+            bulk(self.client, actions)
+
+    # Delete specific documents from a collection by filtering on both collection and document IDs.
+    def delete(
+        self,
+        collection_name: str,
+        ids: Optional[list[str]] = None,
+        filter: Optional[dict] = None,
+    ):
+
+        query = {
+            "query": {"bool": {"filter": [{"term": {"collection": collection_name}}]}}
+        }
+        # logic based on chromaDB
+        if ids:
+            query["query"]["bool"]["filter"].append({"terms": {"_id": ids}})
+        elif filter:
+            for field, value in filter.items():
+                query["query"]["bool"]["filter"].append(
+                    {"term": {f"metadata.{field}": value}}
+                )
+
+        self.client.delete_by_query(index=f"{self.index_prefix}*", body=query)
+
+    def reset(self):
+        indices = self.client.indices.get(index=f"{self.index_prefix}*")
+        for index in indices:
+            self.client.indices.delete(index=index)

backend/open_webui/retrieval/vector/dbs/milvus.py

@@ -20,9 +20,9 @@ class MilvusClient:
     def __init__(self):
         self.collection_prefix = "open_webui"
         if MILVUS_TOKEN is None:
-            self.client = Client(uri=MILVUS_URI, database=MILVUS_DB)
+            self.client = Client(uri=MILVUS_URI, db_name=MILVUS_DB)
         else:
-            self.client = Client(uri=MILVUS_URI, database=MILVUS_DB, token=MILVUS_TOKEN)
+            self.client = Client(uri=MILVUS_URI, db_name=MILVUS_DB, token=MILVUS_TOKEN)
 
     def _result_to_get_result(self, result) -> GetResult:
         ids = []
@@ -64,7 +64,10 @@ class MilvusClient:
 
             for item in match:
                 _ids.append(item.get("id"))
-                _distances.append(item.get("distance"))
+                # normalize milvus score from [-1, 1] to [0, 1] range
+                # https://milvus.io/docs/de/metric.md
+                _dist = (item.get("distance") + 1.0) / 2.0
+                _distances.append(_dist)
                 _documents.append(item.get("entity", {}).get("data", {}).get("text"))
                 _metadatas.append(item.get("entity", {}).get("metadata"))
 

backend/open_webui/retrieval/vector/dbs/opensearch.py

@@ -1,4 +1,5 @@
 from opensearchpy import OpenSearch
+from opensearchpy.helpers import bulk
 from typing import Optional
 
 from open_webui.retrieval.vector.main import VectorItem, SearchResult, GetResult
@@ -21,7 +22,13 @@ class OpenSearchClient:
             http_auth=(OPENSEARCH_USERNAME, OPENSEARCH_PASSWORD),
         )
 
+    def _get_index_name(self, collection_name: str) -> str:
+        return f"{self.index_prefix}_{collection_name}"
+
     def _result_to_get_result(self, result) -> GetResult:
+        if not result["hits"]["hits"]:
+            return None
+
         ids = []
         documents = []
         metadatas = []
@@ -31,9 +38,12 @@ class OpenSearchClient:
             documents.append(hit["_source"].get("text"))
             metadatas.append(hit["_source"].get("metadata"))
 
-        return GetResult(ids=ids, documents=documents, metadatas=metadatas)
+        return GetResult(ids=[ids], documents=[documents], metadatas=[metadatas])
 
     def _result_to_search_result(self, result) -> SearchResult:
+        if not result["hits"]["hits"]:
+            return None
+
         ids = []
         distances = []
         documents = []
@@ -46,72 +56,88 @@ class OpenSearchClient:
             metadatas.append(hit["_source"].get("metadata"))
 
         return SearchResult(
-            ids=ids, distances=distances, documents=documents, metadatas=metadatas
+            ids=[ids],
+            distances=[distances],
+            documents=[documents],
+            metadatas=[metadatas],
         )
 
-    def _create_index(self, index_name: str, dimension: int):
+    def _create_index(self, collection_name: str, dimension: int):
         body = {
+            "settings": {"index": {"knn": True}},
             "mappings": {
                 "properties": {
                     "id": {"type": "keyword"},
                     "vector": {
-                        "type": "dense_vector",
-                        "dims": dimension,  # Adjust based on your vector dimensions
-                        "index": true,
+                        "type": "knn_vector",
+                        "dimension": dimension,  # Adjust based on your vector dimensions
+                        "index": True,
                         "similarity": "faiss",
                         "method": {
                             "name": "hnsw",
-                            "space_type": "ip",  # Use inner product to approximate cosine similarity
+                            "space_type": "innerproduct",  # Use inner product to approximate cosine similarity
                             "engine": "faiss",
-                            "ef_construction": 128,
-                            "m": 16,
+                            "parameters": {
+                                "ef_construction": 128,
+                                "m": 16,
+                            },
                         },
                     },
                     "text": {"type": "text"},
                     "metadata": {"type": "object"},
                 }
-            }
+            },
         }
-        self.client.indices.create(index=f"{self.index_prefix}_{index_name}", body=body)
+        self.client.indices.create(
+            index=self._get_index_name(collection_name), body=body
+        )
 
     def _create_batches(self, items: list[VectorItem], batch_size=100):
         for i in range(0, len(items), batch_size):
             yield items[i : i + batch_size]
 
-    def has_collection(self, index_name: str) -> bool:
+    def has_collection(self, collection_name: str) -> bool:
         # has_collection here means has index.
         # We are simply adapting to the norms of the other DBs.
-        return self.client.indices.exists(index=f"{self.index_prefix}_{index_name}")
+        return self.client.indices.exists(index=self._get_index_name(collection_name))
 
-    def delete_colleciton(self, index_name: str):
+    def delete_collection(self, collection_name: str):
         # delete_collection here means delete index.
         # We are simply adapting to the norms of the other DBs.
-        self.client.indices.delete(index=f"{self.index_prefix}_{index_name}")
+        self.client.indices.delete(index=self._get_index_name(collection_name))
 
     def search(
-        self, index_name: str, vectors: list[list[float]], limit: int
+        self, collection_name: str, vectors: list[list[float | int]], limit: int
     ) -> Optional[SearchResult]:
-        query = {
-            "size": limit,
-            "_source": ["text", "metadata"],
-            "query": {
-                "script_score": {
-                    "query": {"match_all": {}},
-                    "script": {
-                        "source": "cosineSimilarity(params.vector, 'vector') + 1.0",
-                        "params": {
-                            "vector": vectors[0]
-                        },  # Assuming single query vector
-                    },
-                }
-            },
-        }
+        try:
+            if not self.has_collection(collection_name):
+                return None
 
-        result = self.client.search(
-            index=f"{self.index_prefix}_{index_name}", body=query
-        )
+            query = {
+                "size": limit,
+                "_source": ["text", "metadata"],
+                "query": {
+                    "script_score": {
+                        "query": {"match_all": {}},
+                        "script": {
+                            "source": "(cosineSimilarity(params.query_value, doc[params.field]) + 1.0) / 2.0",
+                            "params": {
+                                "field": "vector",
+                                "query_value": vectors[0],
+                            },  # Assuming single query vector
+                        },
+                    }
+                },
+            }
 
-        return self._result_to_search_result(result)
+            result = self.client.search(
+                index=self._get_index_name(collection_name), body=query
+            )
+
+            return self._result_to_search_result(result)
+
+        except Exception as e:
+            return None
 
     def query(
         self, collection_name: str, filter: dict, limit: Optional[int] = None
@@ -125,13 +151,15 @@ class OpenSearchClient:
         }
 
         for field, value in filter.items():
-            query_body["query"]["bool"]["filter"].append({"term": {field: value}})
+            query_body["query"]["bool"]["filter"].append(
+                {"match": {"metadata." + str(field): value}}
+            )
 
         size = limit if limit else 10
 
         try:
             result = self.client.search(
-                index=f"{self.index_prefix}_{collection_name}",
+                index=self._get_index_name(collection_name),
                 body=query_body,
                 size=size,
             )
@@ -141,64 +169,88 @@ class OpenSearchClient:
         except Exception as e:
             return None
 
-    def get_or_create_index(self, index_name: str, dimension: int):
-        if not self.has_index(index_name):
-            self._create_index(index_name, dimension)
+    def _create_index_if_not_exists(self, collection_name: str, dimension: int):
+        if not self.has_collection(collection_name):
+            self._create_index(collection_name, dimension)
 
-    def get(self, index_name: str) -> Optional[GetResult]:
+    def get(self, collection_name: str) -> Optional[GetResult]:
         query = {"query": {"match_all": {}}, "_source": ["text", "metadata"]}
 
         result = self.client.search(
-            index=f"{self.index_prefix}_{index_name}", body=query
+            index=self._get_index_name(collection_name), body=query
         )
         return self._result_to_get_result(result)
 
-    def insert(self, index_name: str, items: list[VectorItem]):
-        if not self.has_index(index_name):
-            self._create_index(index_name, dimension=len(items[0]["vector"]))
+    def insert(self, collection_name: str, items: list[VectorItem]):
+        self._create_index_if_not_exists(
+            collection_name=collection_name, dimension=len(items[0]["vector"])
+        )
 
         for batch in self._create_batches(items):
             actions = [
                 {
-                    "index": {
-                        "_id": item["id"],
-                        "_source": {
-                            "vector": item["vector"],
-                            "text": item["text"],
-                            "metadata": item["metadata"],
-                        },
-                    }
+                    "_op_type": "index",
+                    "_index": self._get_index_name(collection_name),
+                    "_id": item["id"],
+                    "_source": {
+                        "vector": item["vector"],
+                        "text": item["text"],
+                        "metadata": item["metadata"],
+                    },
                 }
                 for item in batch
             ]
-            self.client.bulk(actions)
+            bulk(self.client, actions)
 
-    def upsert(self, index_name: str, items: list[VectorItem]):
-        if not self.has_index(index_name):
-            self._create_index(index_name, dimension=len(items[0]["vector"]))
+    def upsert(self, collection_name: str, items: list[VectorItem]):
+        self._create_index_if_not_exists(
+            collection_name=collection_name, dimension=len(items[0]["vector"])
+        )
 
         for batch in self._create_batches(items):
             actions = [
                 {
-                    "index": {
-                        "_id": item["id"],
-                        "_source": {
-                            "vector": item["vector"],
-                            "text": item["text"],
-                            "metadata": item["metadata"],
-                        },
-                    }
+                    "_op_type": "update",
+                    "_index": self._get_index_name(collection_name),
+                    "_id": item["id"],
+                    "doc": {
+                        "vector": item["vector"],
+                        "text": item["text"],
+                        "metadata": item["metadata"],
+                    },
+                    "doc_as_upsert": True,
                 }
                 for item in batch
             ]
-            self.client.bulk(actions)
+            bulk(self.client, actions)
 
-    def delete(self, index_name: str, ids: list[str]):
-        actions = [
-            {"delete": {"_index": f"{self.index_prefix}_{index_name}", "_id": id}}
-            for id in ids
-        ]
-        self.client.bulk(body=actions)
+    def delete(
+        self,
+        collection_name: str,
+        ids: Optional[list[str]] = None,
+        filter: Optional[dict] = None,
+    ):
+        if ids:
+            actions = [
+                {
+                    "_op_type": "delete",
+                    "_index": self._get_index_name(collection_name),
+                    "_id": id,
+                }
+                for id in ids
+            ]
+            bulk(self.client, actions)
+        elif filter:
+            query_body = {
+                "query": {"bool": {"filter": []}},
+            }
+            for field, value in filter.items():
+                query_body["query"]["bool"]["filter"].append(
+                    {"match": {"metadata." + str(field): value}}
+                )
+            self.client.delete_by_query(
+                index=self._get_index_name(collection_name), body=query_body
+            )
 
     def reset(self):
         indices = self.client.indices.get(index=f"{self.index_prefix}_*")

backend/open_webui/retrieval/vector/dbs/pgvector.py

@@ -278,7 +278,9 @@ class PgvectorClient:
             for row in results:
                 qid = int(row.qid)
                 ids[qid].append(row.id)
-                distances[qid].append(row.distance)
+                # normalize and re-orders pgvec distance from [2, 0] to [0, 1] score range
+                # https://github.com/pgvector/pgvector?tab=readme-ov-file#querying
+                distances[qid].append((2.0 - row.distance) / 2.0)
                 documents[qid].append(row.text)
                 metadatas[qid].append(row.vmetadata)
 

backend/open_webui/retrieval/vector/dbs/qdrant.py

@@ -99,7 +99,8 @@ class QdrantClient:
             ids=get_result.ids,
             documents=get_result.documents,
             metadatas=get_result.metadatas,
-            distances=[[point.score for point in query_response.points]],
+            # qdrant distance is [-1, 1], normalize to [0, 1]
+            distances=[[(point.score + 1.0) / 2.0 for point in query_response.points]],
         )
 
     def query(self, collection_name: str, filter: dict, limit: Optional[int] = None):

backend/open_webui/retrieval/web/perplexity.py

@@ -0,0 +1,87 @@
+import logging
+from typing import Optional, List
+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(
+    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
+
+    """
+
+    # Handle PersistentConfig object
+    if hasattr(api_key, "__str__"):
+        api_key = str(api_key)
+
+    try:
+        url = "https://api.perplexity.ai/chat/completions"
+
+        # Create payload for the API call
+        payload = {
+            "model": "sonar",
+            "messages": [
+                {
+                    "role": "system",
+                    "content": "You are a search assistant. Provide factual information with citations.",
+                },
+                {"role": "user", "content": query},
+            ],
+            "temperature": 0.2,  # Lower temperature for more factual responses
+            "stream": False,
+        }
+
+        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
+        citations = json_response.get("citations", [])
+
+        # Create search results from citations
+        results = []
+        for i, citation in enumerate(citations[:count]):
+            # Extract content from the response to use as snippet
+            content = ""
+            if "choices" in json_response and json_response["choices"]:
+                if i == 0:
+                    content = json_response["choices"][0]["message"]["content"]
+
+            result = {"link": citation, "title": f"Source {i+1}", "snippet": content}
+            results.append(result)
+
+        if filter_list:
+
+            results = get_filtered_results(results, filter_list)
+
+        return [
+            SearchResult(
+                link=result["link"], title=result["title"], snippet=result["snippet"]
+            )
+            for result in results[:count]
+        ]
+
+    except Exception as e:
+        log.error(f"Error searching with Perplexity API: {e}")
+        return []

backend/open_webui/retrieval/web/utils.py

@@ -24,13 +24,17 @@ from langchain_community.document_loaders import PlaywrightURLLoader, WebBaseLoa
 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
 from open_webui.constants import ERROR_MESSAGES
 from open_webui.config import (
     ENABLE_RAG_LOCAL_WEB_FETCH,
     PLAYWRIGHT_WS_URI,
+    PLAYWRIGHT_TIMEOUT,
     RAG_WEB_LOADER_ENGINE,
     FIRECRAWL_API_BASE_URL,
     FIRECRAWL_API_KEY,
+    TAVILY_API_KEY,
+    TAVILY_EXTRACT_DEPTH,
 )
 from open_webui.env import SRC_LOG_LEVELS
 
@@ -113,7 +117,47 @@ def verify_ssl_cert(url: str) -> bool:
         return False
 
 
-class SafeFireCrawlLoader(BaseLoader):
+class RateLimitMixin:
+    async def _wait_for_rate_limit(self):
+        """Wait to respect the rate limit if specified."""
+        if self.requests_per_second and self.last_request_time:
+            min_interval = timedelta(seconds=1.0 / self.requests_per_second)
+            time_since_last = datetime.now() - self.last_request_time
+            if time_since_last < min_interval:
+                await asyncio.sleep((min_interval - time_since_last).total_seconds())
+        self.last_request_time = datetime.now()
+
+    def _sync_wait_for_rate_limit(self):
+        """Synchronous version of rate limit wait."""
+        if self.requests_per_second and self.last_request_time:
+            min_interval = timedelta(seconds=1.0 / self.requests_per_second)
+            time_since_last = datetime.now() - self.last_request_time
+            if time_since_last < min_interval:
+                time.sleep((min_interval - time_since_last).total_seconds())
+        self.last_request_time = datetime.now()
+
+
+class URLProcessingMixin:
+    def _verify_ssl_cert(self, url: str) -> bool:
+        """Verify SSL certificate for a URL."""
+        return 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):
+            raise ValueError(f"SSL certificate verification failed for {url}")
+        await self._wait_for_rate_limit()
+        return True
+
+    def _safe_process_url_sync(self, url: str) -> bool:
+        """Synchronous version of safety checks."""
+        if self.verify_ssl and not self._verify_ssl_cert(url):
+            raise ValueError(f"SSL certificate verification failed for {url}")
+        self._sync_wait_for_rate_limit()
+        return True
+
+
+class SafeFireCrawlLoader(BaseLoader, RateLimitMixin, URLProcessingMixin):
     def __init__(
         self,
         web_paths,
@@ -184,7 +228,7 @@ class SafeFireCrawlLoader(BaseLoader):
                 yield from loader.lazy_load()
             except Exception as e:
                 if self.continue_on_failure:
-                    log.exception(e, "Error loading %s", url)
+                    log.exception(f"Error loading {url}: {e}")
                     continue
                 raise e
 
@@ -204,47 +248,124 @@ class SafeFireCrawlLoader(BaseLoader):
                     yield document
             except Exception as e:
                 if self.continue_on_failure:
-                    log.exception(e, "Error loading %s", url)
+                    log.exception(f"Error loading {url}: {e}")
                     continue
                 raise e
 
-    def _verify_ssl_cert(self, url: str) -> bool:
-        return verify_ssl_cert(url)
 
-    async def _wait_for_rate_limit(self):
-        """Wait to respect the rate limit if specified."""
-        if self.requests_per_second and self.last_request_time:
-            min_interval = timedelta(seconds=1.0 / self.requests_per_second)
-            time_since_last = datetime.now() - self.last_request_time
-            if time_since_last < min_interval:
-                await asyncio.sleep((min_interval - time_since_last).total_seconds())
-        self.last_request_time = datetime.now()
+class SafeTavilyLoader(BaseLoader, RateLimitMixin, URLProcessingMixin):
+    def __init__(
+        self,
+        web_paths: Union[str, List[str]],
+        api_key: str,
+        extract_depth: Literal["basic", "advanced"] = "basic",
+        continue_on_failure: bool = True,
+        requests_per_second: Optional[float] = None,
+        verify_ssl: bool = True,
+        trust_env: bool = False,
+        proxy: Optional[Dict[str, str]] = None,
+    ):
+        """Initialize SafeTavilyLoader with rate limiting and SSL verification support.
 
-    def _sync_wait_for_rate_limit(self):
-        """Synchronous version of rate limit wait."""
-        if self.requests_per_second and self.last_request_time:
-            min_interval = timedelta(seconds=1.0 / self.requests_per_second)
-            time_since_last = datetime.now() - self.last_request_time
-            if time_since_last < min_interval:
-                time.sleep((min_interval - time_since_last).total_seconds())
-        self.last_request_time = datetime.now()
+        Args:
+            web_paths: List of URLs/paths to process.
+            api_key: The Tavily API key.
+            extract_depth: Depth of extraction ("basic" or "advanced").
+            continue_on_failure: Whether to continue if extraction of a URL fails.
+            requests_per_second: Number of requests per second to limit to.
+            verify_ssl: If True, verify SSL certificates.
+            trust_env: If True, use proxy settings from environment variables.
+            proxy: Optional proxy configuration.
+        """
+        # Initialize proxy configuration if using environment variables
+        proxy_server = proxy.get("server") if proxy else None
+        if trust_env and not proxy_server:
+            env_proxies = urllib.request.getproxies()
+            env_proxy_server = env_proxies.get("https") or env_proxies.get("http")
+            if env_proxy_server:
+                if proxy:
+                    proxy["server"] = env_proxy_server
+                else:
+                    proxy = {"server": env_proxy_server}
 
-    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):
-            raise ValueError(f"SSL certificate verification failed for {url}")
-        await self._wait_for_rate_limit()
-        return True
+        # Store parameters for creating TavilyLoader instances
+        self.web_paths = web_paths if isinstance(web_paths, list) else [web_paths]
+        self.api_key = api_key
+        self.extract_depth = extract_depth
+        self.continue_on_failure = continue_on_failure
+        self.verify_ssl = verify_ssl
+        self.trust_env = trust_env
+        self.proxy = proxy
 
-    def _safe_process_url_sync(self, url: str) -> bool:
-        """Synchronous version of safety checks."""
-        if self.verify_ssl and not self._verify_ssl_cert(url):
-            raise ValueError(f"SSL certificate verification failed for {url}")
-        self._sync_wait_for_rate_limit()
-        return True
+        # Add rate limiting
+        self.requests_per_second = requests_per_second
+        self.last_request_time = None
+
+    def lazy_load(self) -> Iterator[Document]:
+        """Load documents with rate limiting support, delegating to TavilyLoader."""
+        valid_urls = []
+        for url in self.web_paths:
+            try:
+                self._safe_process_url_sync(url)
+                valid_urls.append(url)
+            except Exception as e:
+                log.warning(f"SSL verification failed for {url}: {str(e)}")
+                if not self.continue_on_failure:
+                    raise e
+        if not valid_urls:
+            if self.continue_on_failure:
+                log.warning("No valid URLs to process after SSL verification")
+                return
+            raise ValueError("No valid URLs to process after SSL verification")
+        try:
+            loader = TavilyLoader(
+                urls=valid_urls,
+                api_key=self.api_key,
+                extract_depth=self.extract_depth,
+                continue_on_failure=self.continue_on_failure,
+            )
+            yield from loader.lazy_load()
+        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) -> AsyncIterator[Document]:
+        """Async version with rate limiting and SSL verification."""
+        valid_urls = []
+        for url in self.web_paths:
+            try:
+                await self._safe_process_url(url)
+                valid_urls.append(url)
+            except Exception as e:
+                log.warning(f"SSL verification failed for {url}: {str(e)}")
+                if not self.continue_on_failure:
+                    raise e
+
+        if not valid_urls:
+            if self.continue_on_failure:
+                log.warning("No valid URLs to process after SSL verification")
+                return
+            raise ValueError("No valid URLs to process after SSL verification")
+
+        try:
+            loader = TavilyLoader(
+                urls=valid_urls,
+                api_key=self.api_key,
+                extract_depth=self.extract_depth,
+                continue_on_failure=self.continue_on_failure,
+            )
+            async for document in loader.alazy_load():
+                yield document
+        except Exception as e:
+            if self.continue_on_failure:
+                log.exception(f"Error loading URLs: {e}")
+            else:
+                raise e
 
 
-class SafePlaywrightURLLoader(PlaywrightURLLoader):
+class SafePlaywrightURLLoader(PlaywrightURLLoader, RateLimitMixin, URLProcessingMixin):
     """Load HTML pages safely with Playwright, supporting SSL verification, rate limiting, and remote browser connection.
 
     Attributes:
@@ -256,6 +377,7 @@ class SafePlaywrightURLLoader(PlaywrightURLLoader):
         headless (bool): If True, the browser will run in headless mode.
         proxy (dict): Proxy override settings for the Playwright session.
         playwright_ws_url (Optional[str]): WebSocket endpoint URI for remote browser connection.
+        playwright_timeout (Optional[int]): Maximum operation time in milliseconds.
     """
 
     def __init__(
@@ -269,6 +391,7 @@ class SafePlaywrightURLLoader(PlaywrightURLLoader):
         remove_selectors: Optional[List[str]] = None,
         proxy: Optional[Dict[str, str]] = None,
         playwright_ws_url: Optional[str] = None,
+        playwright_timeout: Optional[int] = 10000,
     ):
         """Initialize with additional safety parameters and remote browser support."""
 
@@ -295,6 +418,7 @@ class SafePlaywrightURLLoader(PlaywrightURLLoader):
         self.last_request_time = None
         self.playwright_ws_url = playwright_ws_url
         self.trust_env = trust_env
+        self.playwright_timeout = playwright_timeout
 
     def lazy_load(self) -> Iterator[Document]:
         """Safely load URLs synchronously with support for remote browser."""
@@ -311,7 +435,7 @@ class SafePlaywrightURLLoader(PlaywrightURLLoader):
                 try:
                     self._safe_process_url_sync(url)
                     page = browser.new_page()
-                    response = page.goto(url)
+                    response = page.goto(url, timeout=self.playwright_timeout)
                     if response is None:
                         raise ValueError(f"page.goto() returned None for url {url}")
 
@@ -320,7 +444,7 @@ class SafePlaywrightURLLoader(PlaywrightURLLoader):
                     yield Document(page_content=text, metadata=metadata)
                 except Exception as e:
                     if self.continue_on_failure:
-                        log.exception(e, "Error loading %s", url)
+                        log.exception(f"Error loading {url}: {e}")
                         continue
                     raise e
             browser.close()
@@ -342,7 +466,7 @@ class SafePlaywrightURLLoader(PlaywrightURLLoader):
                 try:
                     await self._safe_process_url(url)
                     page = await browser.new_page()
-                    response = await page.goto(url)
+                    response = await page.goto(url, timeout=self.playwright_timeout)
                     if response is None:
                         raise ValueError(f"page.goto() returned None for url {url}")
 
@@ -351,46 +475,11 @@ class SafePlaywrightURLLoader(PlaywrightURLLoader):
                     yield Document(page_content=text, metadata=metadata)
                 except Exception as e:
                     if self.continue_on_failure:
-                        log.exception(e, "Error loading %s", url)
+                        log.exception(f"Error loading {url}: {e}")
                         continue
                     raise e
             await browser.close()
 
-    def _verify_ssl_cert(self, url: str) -> bool:
-        return verify_ssl_cert(url)
-
-    async def _wait_for_rate_limit(self):
-        """Wait to respect the rate limit if specified."""
-        if self.requests_per_second and self.last_request_time:
-            min_interval = timedelta(seconds=1.0 / self.requests_per_second)
-            time_since_last = datetime.now() - self.last_request_time
-            if time_since_last < min_interval:
-                await asyncio.sleep((min_interval - time_since_last).total_seconds())
-        self.last_request_time = datetime.now()
-
-    def _sync_wait_for_rate_limit(self):
-        """Synchronous version of rate limit wait."""
-        if self.requests_per_second and self.last_request_time:
-            min_interval = timedelta(seconds=1.0 / self.requests_per_second)
-            time_since_last = datetime.now() - self.last_request_time
-            if time_since_last < min_interval:
-                time.sleep((min_interval - time_since_last).total_seconds())
-        self.last_request_time = datetime.now()
-
-    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):
-            raise ValueError(f"SSL certificate verification failed for {url}")
-        await self._wait_for_rate_limit()
-        return True
-
-    def _safe_process_url_sync(self, url: str) -> bool:
-        """Synchronous version of safety checks."""
-        if self.verify_ssl and not self._verify_ssl_cert(url):
-            raise ValueError(f"SSL certificate verification failed for {url}")
-        self._sync_wait_for_rate_limit()
-        return True
-
 
 class SafeWebBaseLoader(WebBaseLoader):
     """WebBaseLoader with enhanced error handling for URLs."""
@@ -472,7 +561,7 @@ class SafeWebBaseLoader(WebBaseLoader):
                 yield Document(page_content=text, metadata=metadata)
             except Exception as e:
                 # Log the error and continue with the next URL
-                log.exception(e, "Error loading %s", path)
+                log.exception(f"Error loading {path}: {e}")
 
     async def alazy_load(self) -> AsyncIterator[Document]:
         """Async lazy load text from the url(s) in web_path."""
@@ -499,6 +588,7 @@ RAG_WEB_LOADER_ENGINES = defaultdict(lambda: SafeWebBaseLoader)
 RAG_WEB_LOADER_ENGINES["playwright"] = SafePlaywrightURLLoader
 RAG_WEB_LOADER_ENGINES["safe_web"] = SafeWebBaseLoader
 RAG_WEB_LOADER_ENGINES["firecrawl"] = SafeFireCrawlLoader
+RAG_WEB_LOADER_ENGINES["tavily"] = SafeTavilyLoader
 
 
 def get_web_loader(
@@ -518,13 +608,19 @@ def get_web_loader(
         "trust_env": trust_env,
     }
 
-    if PLAYWRIGHT_WS_URI.value:
-        web_loader_args["playwright_ws_url"] = PLAYWRIGHT_WS_URI.value
+    if RAG_WEB_LOADER_ENGINE.value == "playwright":
+        web_loader_args["playwright_timeout"] = PLAYWRIGHT_TIMEOUT.value * 1000
+        if PLAYWRIGHT_WS_URI.value:
+            web_loader_args["playwright_ws_url"] = PLAYWRIGHT_WS_URI.value
 
     if RAG_WEB_LOADER_ENGINE.value == "firecrawl":
         web_loader_args["api_key"] = FIRECRAWL_API_KEY.value
         web_loader_args["api_url"] = FIRECRAWL_API_BASE_URL.value
 
+    if RAG_WEB_LOADER_ENGINE.value == "tavily":
+        web_loader_args["api_key"] = TAVILY_API_KEY.value
+        web_loader_args["extract_depth"] = TAVILY_EXTRACT_DEPTH.value
+
     # Create the appropriate WebLoader based on the configuration
     WebLoaderClass = RAG_WEB_LOADER_ENGINES[RAG_WEB_LOADER_ENGINE.value]
     web_loader = WebLoaderClass(**web_loader_args)

backend/open_webui/routers/audio.py

@@ -54,7 +54,7 @@ MAX_FILE_SIZE = MAX_FILE_SIZE_MB * 1024 * 1024  # Convert MB to bytes
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["AUDIO"])
 
-SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
+SPEECH_CACHE_DIR = CACHE_DIR / "audio" / "speech"
 SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
 
 
@@ -625,7 +625,9 @@ def transcription(
 ):
     log.info(f"file.content_type: {file.content_type}")
 
-    if file.content_type not in ["audio/mpeg", "audio/wav", "audio/ogg", "audio/x-m4a"]:
+    supported_filetypes = ("audio/mpeg", "audio/wav", "audio/ogg", "audio/x-m4a")
+
+    if not file.content_type.startswith(supported_filetypes):
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,
             detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED,

backend/open_webui/routers/auths.py

@@ -194,8 +194,8 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
             ciphers=LDAP_CIPHERS,
         )
     except Exception as e:
-        log.error(f"An error occurred on TLS: {str(e)}")
-        raise HTTPException(400, detail=str(e))
+        log.error(f"TLS configuration error: {str(e)}")
+        raise HTTPException(400, detail="Failed to configure TLS for LDAP connection.")
 
     try:
         server = Server(
@@ -210,7 +210,7 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
             LDAP_APP_DN,
             LDAP_APP_PASSWORD,
             auto_bind="NONE",
-            authentication="SIMPLE",
+            authentication="SIMPLE" if LDAP_APP_DN else "ANONYMOUS",
         )
         if not connection_app.bind():
             raise HTTPException(400, detail="Application account bind failed")
@@ -230,9 +230,12 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
 
         entry = connection_app.entries[0]
         username = str(entry[f"{LDAP_ATTRIBUTE_FOR_USERNAME}"]).lower()
-        mail = str(entry[f"{LDAP_ATTRIBUTE_FOR_MAIL}"])
-        if not mail or mail == "" or mail == "[]":
-            raise HTTPException(400, f"User {form_data.user} does not have mail.")
+        email = str(entry[f"{LDAP_ATTRIBUTE_FOR_MAIL}"])
+        if not email or email == "" or email == "[]":
+            raise HTTPException(400, "User does not have a valid email address.")
+        else:
+            email = email.lower()
+
         cn = str(entry["cn"])
         user_dn = entry.entry_dn
 
@@ -245,9 +248,9 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
                 authentication="SIMPLE",
             )
             if not connection_user.bind():
-                raise HTTPException(400, f"Authentication failed for {form_data.user}")
+                raise HTTPException(400, "Authentication failed.")
 
-            user = Users.get_user_by_email(mail)
+            user = Users.get_user_by_email(email)
             if not user:
                 try:
                     user_count = Users.get_num_users()
@@ -259,7 +262,10 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
                     )
 
                     user = Auths.insert_new_auth(
-                        email=mail, password=str(uuid.uuid4()), name=cn, role=role
+                        email=email,
+                        password=str(uuid.uuid4()),
+                        name=cn,
+                        role=role,
                     )
 
                     if not user:
@@ -270,9 +276,12 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
                 except HTTPException:
                     raise
                 except Exception as err:
-                    raise HTTPException(500, detail=ERROR_MESSAGES.DEFAULT(err))
+                    log.error(f"LDAP user creation error: {str(err)}")
+                    raise HTTPException(
+                        500, detail="Internal error occurred during LDAP user creation."
+                    )
 
-            user = Auths.authenticate_user_by_trusted_header(mail)
+            user = Auths.authenticate_user_by_trusted_header(email)
 
             if user:
                 token = create_token(
@@ -306,12 +315,10 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
             else:
                 raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
         else:
-            raise HTTPException(
-                400,
-                f"User {form_data.user} does not match the record. Search result: {str(entry[f'{LDAP_ATTRIBUTE_FOR_USERNAME}'])}",
-            )
+            raise HTTPException(400, "User record mismatch.")
     except Exception as e:
-        raise HTTPException(400, detail=str(e))
+        log.error(f"LDAP authentication error: {str(e)}")
+        raise HTTPException(400, detail="LDAP authentication failed.")
 
 
 ############################
@@ -513,7 +520,8 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
         else:
             raise HTTPException(500, detail=ERROR_MESSAGES.CREATE_USER_ERROR)
     except Exception as err:
-        raise HTTPException(500, detail=ERROR_MESSAGES.DEFAULT(err))
+        log.error(f"Signup error: {str(err)}")
+        raise HTTPException(500, detail="An internal error occurred during signup.")
 
 
 @router.get("/signout")
@@ -541,7 +549,11 @@ async def signout(request: Request, response: Response):
                                 detail="Failed to fetch OpenID configuration",
                             )
             except Exception as e:
-                raise HTTPException(status_code=500, detail=str(e))
+                log.error(f"OpenID signout error: {str(e)}")
+                raise HTTPException(
+                    status_code=500,
+                    detail="Failed to sign out from the OpenID provider.",
+                )
 
     return {"status": True}
 
@@ -585,7 +597,10 @@ async def add_user(form_data: AddUserForm, user=Depends(get_admin_user)):
         else:
             raise HTTPException(500, detail=ERROR_MESSAGES.CREATE_USER_ERROR)
     except Exception as err:
-        raise HTTPException(500, detail=ERROR_MESSAGES.DEFAULT(err))
+        log.error(f"Add user error: {str(err)}")
+        raise HTTPException(
+            500, detail="An internal error occurred while adding the user."
+        )
 
 
 ############################
@@ -633,11 +648,12 @@ async def get_admin_config(request: Request, user=Depends(get_admin_user)):
         "ENABLE_API_KEY": request.app.state.config.ENABLE_API_KEY,
         "ENABLE_API_KEY_ENDPOINT_RESTRICTIONS": request.app.state.config.ENABLE_API_KEY_ENDPOINT_RESTRICTIONS,
         "API_KEY_ALLOWED_ENDPOINTS": request.app.state.config.API_KEY_ALLOWED_ENDPOINTS,
-        "ENABLE_CHANNELS": request.app.state.config.ENABLE_CHANNELS,
         "DEFAULT_USER_ROLE": request.app.state.config.DEFAULT_USER_ROLE,
         "JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN,
         "ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING,
         "ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING,
+        "ENABLE_CHANNELS": request.app.state.config.ENABLE_CHANNELS,
+        "ENABLE_USER_WEBHOOKS": request.app.state.config.ENABLE_USER_WEBHOOKS,
     }
 
 
@@ -648,11 +664,12 @@ class AdminConfig(BaseModel):
     ENABLE_API_KEY: bool
     ENABLE_API_KEY_ENDPOINT_RESTRICTIONS: bool
     API_KEY_ALLOWED_ENDPOINTS: str
-    ENABLE_CHANNELS: bool
     DEFAULT_USER_ROLE: str
     JWT_EXPIRES_IN: str
     ENABLE_COMMUNITY_SHARING: bool
     ENABLE_MESSAGE_RATING: bool
+    ENABLE_CHANNELS: bool
+    ENABLE_USER_WEBHOOKS: bool
 
 
 @router.post("/admin/config")
@@ -687,6 +704,8 @@ async def update_admin_config(
     )
     request.app.state.config.ENABLE_MESSAGE_RATING = form_data.ENABLE_MESSAGE_RATING
 
+    request.app.state.config.ENABLE_USER_WEBHOOKS = form_data.ENABLE_USER_WEBHOOKS
+
     return {
         "SHOW_ADMIN_DETAILS": request.app.state.config.SHOW_ADMIN_DETAILS,
         "WEBUI_URL": request.app.state.config.WEBUI_URL,
@@ -699,6 +718,7 @@ async def update_admin_config(
         "JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN,
         "ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING,
         "ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING,
+        "ENABLE_USER_WEBHOOKS": request.app.state.config.ENABLE_USER_WEBHOOKS,
     }
 
 
@@ -753,11 +773,6 @@ async def update_ldap_server(
         if not value:
             raise HTTPException(400, detail=f"Required field {key} is empty")
 
-    if form_data.use_tls and not form_data.certificate_path:
-        raise HTTPException(
-            400, detail="TLS is enabled but certificate file path is missing"
-        )
-
     request.app.state.config.LDAP_SERVER_LABEL = form_data.label
     request.app.state.config.LDAP_SERVER_HOST = form_data.host
     request.app.state.config.LDAP_SERVER_PORT = form_data.port

backend/open_webui/routers/chats.py

@@ -2,6 +2,8 @@ import json
 import logging
 from typing import Optional
 
+
+from open_webui.socket.main import get_event_emitter
 from open_webui.models.chats import (
     ChatForm,
     ChatImportForm,
@@ -372,6 +374,107 @@ async def update_chat_by_id(
         )
 
 
+############################
+# UpdateChatMessageById
+############################
+class MessageForm(BaseModel):
+    content: str
+
+
+@router.post("/{id}/messages/{message_id}", response_model=Optional[ChatResponse])
+async def update_chat_message_by_id(
+    id: str, message_id: str, form_data: MessageForm, user=Depends(get_verified_user)
+):
+    chat = Chats.get_chat_by_id(id)
+
+    if not chat:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
+        )
+
+    if chat.user_id != user.id and user.role != "admin":
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
+        )
+
+    chat = Chats.upsert_message_to_chat_by_id_and_message_id(
+        id,
+        message_id,
+        {
+            "content": form_data.content,
+        },
+    )
+
+    event_emitter = get_event_emitter(
+        {
+            "user_id": user.id,
+            "chat_id": id,
+            "message_id": message_id,
+        },
+        False,
+    )
+
+    if event_emitter:
+        await event_emitter(
+            {
+                "type": "chat:message",
+                "data": {
+                    "chat_id": id,
+                    "message_id": message_id,
+                    "content": form_data.content,
+                },
+            }
+        )
+
+    return ChatResponse(**chat.model_dump())
+
+
+############################
+# SendChatMessageEventById
+############################
+class EventForm(BaseModel):
+    type: str
+    data: dict
+
+
+@router.post("/{id}/messages/{message_id}/event", response_model=Optional[bool])
+async def send_chat_message_event_by_id(
+    id: str, message_id: str, form_data: EventForm, user=Depends(get_verified_user)
+):
+    chat = Chats.get_chat_by_id(id)
+
+    if not chat:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
+        )
+
+    if chat.user_id != user.id and user.role != "admin":
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
+        )
+
+    event_emitter = get_event_emitter(
+        {
+            "user_id": user.id,
+            "chat_id": id,
+            "message_id": message_id,
+        }
+    )
+
+    try:
+        if event_emitter:
+            await event_emitter(form_data.model_dump())
+        else:
+            return False
+        return True
+    except:
+        return False
+
+
 ############################
 # DeleteChatById
 ############################

backend/open_webui/routers/configs.py

@@ -1,5 +1,5 @@
-from fastapi import APIRouter, Depends, Request
-from pydantic import BaseModel
+from fastapi import APIRouter, Depends, Request, HTTPException
+from pydantic import BaseModel, ConfigDict
 
 from typing import Optional
 
@@ -7,6 +7,8 @@ from open_webui.utils.auth import get_admin_user, get_verified_user
 from open_webui.config import get_config, save_config
 from open_webui.config import BannerModel
 
+from open_webui.utils.tools import get_tool_server_data, get_tool_servers_data
+
 
 router = APIRouter()
 
@@ -66,10 +68,80 @@ async def set_direct_connections_config(
     }
 
 
+############################
+# ToolServers Config
+############################
+
+
+class ToolServerConnection(BaseModel):
+    url: str
+    path: str
+    auth_type: Optional[str]
+    key: Optional[str]
+    config: Optional[dict]
+
+    model_config = ConfigDict(extra="allow")
+
+
+class ToolServersConfigForm(BaseModel):
+    TOOL_SERVER_CONNECTIONS: list[ToolServerConnection]
+
+
+@router.get("/tool_servers", response_model=ToolServersConfigForm)
+async def get_tool_servers_config(request: Request, user=Depends(get_admin_user)):
+    return {
+        "TOOL_SERVER_CONNECTIONS": request.app.state.config.TOOL_SERVER_CONNECTIONS,
+    }
+
+
+@router.post("/tool_servers", response_model=ToolServersConfigForm)
+async def set_tool_servers_config(
+    request: Request,
+    form_data: ToolServersConfigForm,
+    user=Depends(get_admin_user),
+):
+    request.app.state.config.TOOL_SERVER_CONNECTIONS = [
+        connection.model_dump() for connection in form_data.TOOL_SERVER_CONNECTIONS
+    ]
+
+    request.app.state.TOOL_SERVERS = await get_tool_servers_data(
+        request.app.state.config.TOOL_SERVER_CONNECTIONS
+    )
+
+    return {
+        "TOOL_SERVER_CONNECTIONS": request.app.state.config.TOOL_SERVER_CONNECTIONS,
+    }
+
+
+@router.post("/tool_servers/verify")
+async def verify_tool_servers_config(
+    request: Request, form_data: ToolServerConnection, user=Depends(get_admin_user)
+):
+    """
+    Verify the connection to the tool server.
+    """
+    try:
+
+        token = None
+        if form_data.auth_type == "bearer":
+            token = form_data.key
+        elif form_data.auth_type == "session":
+            token = request.state.token.credentials
+
+        url = f"{form_data.url}/{form_data.path}"
+        return await get_tool_server_data(token, url)
+    except Exception as e:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Failed to connect to the tool server: {str(e)}",
+        )
+
+
 ############################
 # CodeInterpreterConfig
 ############################
 class CodeInterpreterConfigForm(BaseModel):
+    ENABLE_CODE_EXECUTION: bool
     CODE_EXECUTION_ENGINE: str
     CODE_EXECUTION_JUPYTER_URL: Optional[str]
     CODE_EXECUTION_JUPYTER_AUTH: Optional[str]
@@ -89,6 +161,7 @@ class CodeInterpreterConfigForm(BaseModel):
 @router.get("/code_execution", response_model=CodeInterpreterConfigForm)
 async def get_code_execution_config(request: Request, user=Depends(get_admin_user)):
     return {
+        "ENABLE_CODE_EXECUTION": request.app.state.config.ENABLE_CODE_EXECUTION,
         "CODE_EXECUTION_ENGINE": request.app.state.config.CODE_EXECUTION_ENGINE,
         "CODE_EXECUTION_JUPYTER_URL": request.app.state.config.CODE_EXECUTION_JUPYTER_URL,
         "CODE_EXECUTION_JUPYTER_AUTH": request.app.state.config.CODE_EXECUTION_JUPYTER_AUTH,
@@ -111,6 +184,8 @@ async def set_code_execution_config(
     request: Request, form_data: CodeInterpreterConfigForm, user=Depends(get_admin_user)
 ):
 
+    request.app.state.config.ENABLE_CODE_EXECUTION = form_data.ENABLE_CODE_EXECUTION
+
     request.app.state.config.CODE_EXECUTION_ENGINE = form_data.CODE_EXECUTION_ENGINE
     request.app.state.config.CODE_EXECUTION_JUPYTER_URL = (
         form_data.CODE_EXECUTION_JUPYTER_URL
@@ -153,6 +228,7 @@ async def set_code_execution_config(
     )
 
     return {
+        "ENABLE_CODE_EXECUTION": request.app.state.config.ENABLE_CODE_EXECUTION,
         "CODE_EXECUTION_ENGINE": request.app.state.config.CODE_EXECUTION_ENGINE,
         "CODE_EXECUTION_JUPYTER_URL": request.app.state.config.CODE_EXECUTION_JUPYTER_URL,
         "CODE_EXECUTION_JUPYTER_AUTH": request.app.state.config.CODE_EXECUTION_JUPYTER_AUTH,

backend/open_webui/routers/evaluations.py

@@ -56,8 +56,19 @@ async def update_config(
     }
 
 
+class FeedbackUserReponse(BaseModel):
+    id: str
+    name: str
+    email: str
+    role: str = "pending"
+
+    last_active_at: int  # timestamp in epoch
+    updated_at: int  # timestamp in epoch
+    created_at: int  # timestamp in epoch
+
+
 class FeedbackUserResponse(FeedbackResponse):
-    user: Optional[UserModel] = None
+    user: Optional[FeedbackUserReponse] = None
 
 
 @router.get("/feedbacks/all", response_model=list[FeedbackUserResponse])
@@ -65,7 +76,10 @@ async def get_all_feedbacks(user=Depends(get_admin_user)):
     feedbacks = Feedbacks.get_all_feedbacks()
     return [
         FeedbackUserResponse(
-            **feedback.model_dump(), user=Users.get_user_by_id(feedback.user_id)
+            **feedback.model_dump(),
+            user=FeedbackUserReponse(
+                **Users.get_user_by_id(feedback.user_id).model_dump()
+            ),
         )
         for feedback in feedbacks
     ]

backend/open_webui/routers/files.py

@@ -5,7 +5,16 @@ from pathlib import Path
 from typing import Optional
 from urllib.parse import quote
 
-from fastapi import APIRouter, Depends, File, HTTPException, Request, UploadFile, status
+from fastapi import (
+    APIRouter,
+    Depends,
+    File,
+    HTTPException,
+    Request,
+    UploadFile,
+    status,
+    Query,
+)
 from fastapi.responses import FileResponse, StreamingResponse
 from open_webui.constants import ERROR_MESSAGES
 from open_webui.env import SRC_LOG_LEVELS
@@ -15,6 +24,9 @@ from open_webui.models.files import (
     FileModelResponse,
     Files,
 )
+from open_webui.models.knowledge import Knowledges
+
+from open_webui.routers.knowledge import get_knowledge, get_knowledge_list
 from open_webui.routers.retrieval import ProcessFileForm, process_file
 from open_webui.routers.audio import transcribe
 from open_webui.storage.provider import Storage
@@ -27,6 +39,39 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
 
 router = APIRouter()
 
+
+############################
+# Check if the current user has access to a file through any knowledge bases the user may be in.
+############################
+
+
+def has_access_to_file(
+    file_id: Optional[str], access_type: str, user=Depends(get_verified_user)
+) -> bool:
+    file = Files.get_file_by_id(file_id)
+    log.debug(f"Checking if user has {access_type} access to file")
+
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    has_access = False
+    knowledge_base_id = file.meta.get("collection_name") if file.meta else None
+
+    if knowledge_base_id:
+        knowledge_bases = Knowledges.get_knowledge_bases_by_user_id(
+            user.id, access_type
+        )
+        for knowledge_base in knowledge_bases:
+            if knowledge_base.id == knowledge_base_id:
+                has_access = True
+                break
+
+    return has_access
+
+
 ############################
 # Upload File
 ############################
@@ -38,6 +83,7 @@ def upload_file(
     file: UploadFile = File(...),
     user=Depends(get_verified_user),
     file_metadata: dict = {},
+    process: bool = Query(True),
 ):
     log.info(f"file.content_type: {file.content_type}")
     try:
@@ -66,34 +112,35 @@ def upload_file(
                 }
             ),
         )
+        if process:
+            try:
+                if file.content_type in [
+                    "audio/mpeg",
+                    "audio/wav",
+                    "audio/ogg",
+                    "audio/x-m4a",
+                ]:
+                    file_path = Storage.get_file(file_path)
+                    result = transcribe(request, file_path)
 
-        try:
-            if file.content_type in [
-                "audio/mpeg",
-                "audio/wav",
-                "audio/ogg",
-                "audio/x-m4a",
-            ]:
-                file_path = Storage.get_file(file_path)
-                result = transcribe(request, file_path)
-                process_file(
-                    request,
-                    ProcessFileForm(file_id=id, content=result.get("text", "")),
-                    user=user,
+                    process_file(
+                        request,
+                        ProcessFileForm(file_id=id, content=result.get("text", "")),
+                        user=user,
+                    )
+                elif file.content_type not in ["image/png", "image/jpeg", "image/gif"]:
+                    process_file(request, ProcessFileForm(file_id=id), user=user)
+
+                file_item = Files.get_file_by_id(id=id)
+            except Exception as e:
+                log.exception(e)
+                log.error(f"Error processing file: {file_item.id}")
+                file_item = FileModelResponse(
+                    **{
+                        **file_item.model_dump(),
+                        "error": str(e.detail) if hasattr(e, "detail") else str(e),
+                    }
                 )
-            else:
-                process_file(request, ProcessFileForm(file_id=id), user=user)
-
-            file_item = Files.get_file_by_id(id=id)
-        except Exception as e:
-            log.exception(e)
-            log.error(f"Error processing file: {file_item.id}")
-            file_item = FileModelResponse(
-                **{
-                    **file_item.model_dump(),
-                    "error": str(e.detail) if hasattr(e, "detail") else str(e),
-                }
-            )
 
         if file_item:
             return file_item
@@ -117,11 +164,16 @@ def upload_file(
 
 
 @router.get("/", response_model=list[FileModelResponse])
-async def list_files(user=Depends(get_verified_user)):
+async def list_files(user=Depends(get_verified_user), content: bool = Query(True)):
     if user.role == "admin":
         files = Files.get_files()
     else:
         files = Files.get_files_by_user_id(user.id)
+
+    if not content:
+        for file in files:
+            del file.data["content"]
+
     return files
 
 
@@ -160,7 +212,17 @@ async def delete_all_files(user=Depends(get_admin_user)):
 async def get_file_by_id(id: str, user=Depends(get_verified_user)):
     file = Files.get_file_by_id(id)
 
-    if file and (file.user_id == user.id or user.role == "admin"):
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    if (
+        file.user_id == user.id
+        or user.role == "admin"
+        or has_access_to_file(id, "read", user)
+    ):
         return file
     else:
         raise HTTPException(
@@ -178,7 +240,17 @@ async def get_file_by_id(id: str, user=Depends(get_verified_user)):
 async def get_file_data_content_by_id(id: str, user=Depends(get_verified_user)):
     file = Files.get_file_by_id(id)
 
-    if file and (file.user_id == user.id or user.role == "admin"):
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    if (
+        file.user_id == user.id
+        or user.role == "admin"
+        or has_access_to_file(id, "read", user)
+    ):
         return {"content": file.data.get("content", "")}
     else:
         raise HTTPException(
@@ -202,7 +274,17 @@ async def update_file_data_content_by_id(
 ):
     file = Files.get_file_by_id(id)
 
-    if file and (file.user_id == user.id or user.role == "admin"):
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    if (
+        file.user_id == user.id
+        or user.role == "admin"
+        or has_access_to_file(id, "write", user)
+    ):
         try:
             process_file(
                 request,
@@ -228,9 +310,22 @@ async def update_file_data_content_by_id(
 
 
 @router.get("/{id}/content")
-async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
+async def get_file_content_by_id(
+    id: str, user=Depends(get_verified_user), attachment: bool = Query(False)
+):
     file = Files.get_file_by_id(id)
-    if file and (file.user_id == user.id or user.role == "admin"):
+
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    if (
+        file.user_id == user.id
+        or user.role == "admin"
+        or has_access_to_file(id, "read", user)
+    ):
         try:
             file_path = Storage.get_file(file.path)
             file_path = Path(file_path)
@@ -246,17 +341,22 @@ async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
                 encoded_filename = quote(filename)
                 headers = {}
 
-                if content_type == "application/pdf" or filename.lower().endswith(
-                    ".pdf"
-                ):
-                    headers["Content-Disposition"] = (
-                        f"inline; filename*=UTF-8''{encoded_filename}"
-                    )
-                    content_type = "application/pdf"
-                elif content_type != "text/plain":
+                if attachment:
                     headers["Content-Disposition"] = (
                         f"attachment; filename*=UTF-8''{encoded_filename}"
                     )
+                else:
+                    if content_type == "application/pdf" or filename.lower().endswith(
+                        ".pdf"
+                    ):
+                        headers["Content-Disposition"] = (
+                            f"inline; filename*=UTF-8''{encoded_filename}"
+                        )
+                        content_type = "application/pdf"
+                    elif content_type != "text/plain":
+                        headers["Content-Disposition"] = (
+                            f"attachment; filename*=UTF-8''{encoded_filename}"
+                        )
 
                 return FileResponse(file_path, headers=headers, media_type=content_type)
 
@@ -282,7 +382,18 @@ async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
 @router.get("/{id}/content/html")
 async def get_html_file_content_by_id(id: str, user=Depends(get_verified_user)):
     file = Files.get_file_by_id(id)
-    if file and (file.user_id == user.id or user.role == "admin"):
+
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    if (
+        file.user_id == user.id
+        or user.role == "admin"
+        or has_access_to_file(id, "read", user)
+    ):
         try:
             file_path = Storage.get_file(file.path)
             file_path = Path(file_path)
@@ -314,7 +425,17 @@ async def get_html_file_content_by_id(id: str, user=Depends(get_verified_user)):
 async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
     file = Files.get_file_by_id(id)
 
-    if file and (file.user_id == user.id or user.role == "admin"):
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    if (
+        file.user_id == user.id
+        or user.role == "admin"
+        or has_access_to_file(id, "read", user)
+    ):
         file_path = file.path
 
         # Handle Unicode filenames
@@ -365,7 +486,18 @@ async def get_file_content_by_id(id: str, user=Depends(get_verified_user)):
 @router.delete("/{id}")
 async def delete_file_by_id(id: str, user=Depends(get_verified_user)):
     file = Files.get_file_by_id(id)
-    if file and (file.user_id == user.id or user.role == "admin"):
+
+    if not file:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+    if (
+        file.user_id == user.id
+        or user.role == "admin"
+        or has_access_to_file(id, "write", user)
+    ):
         # We should add Chroma cleanup here
 
         result = Files.delete_file_by_id(id)

backend/open_webui/routers/folders.py

@@ -20,11 +20,13 @@ from open_webui.env import SRC_LOG_LEVELS
 from open_webui.constants import ERROR_MESSAGES
 
 
-from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status
+from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status, Request
 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_permission
+
 
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["MODELS"])
@@ -228,7 +230,19 @@ async def update_folder_is_expanded_by_id(
 
 
 @router.delete("/{id}")
-async def delete_folder_by_id(id: str, user=Depends(get_verified_user)):
+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,
+        )
+
     folder = Folders.get_folder_by_id_and_user_id(id, user.id)
     if folder:
         try:

backend/open_webui/routers/functions.py

@@ -74,7 +74,7 @@ async def create_new_function(
 
             function = Functions.insert_new_function(user.id, function_type, form_data)
 
-            function_cache_dir = Path(CACHE_DIR) / "functions" / form_data.id
+            function_cache_dir = CACHE_DIR / "functions" / form_data.id
             function_cache_dir.mkdir(parents=True, exist_ok=True)
 
             if function:

backend/open_webui/routers/images.py

@@ -25,7 +25,7 @@ from pydantic import BaseModel
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["IMAGES"])
 
-IMAGE_CACHE_DIR = Path(CACHE_DIR).joinpath("./image/generations/")
+IMAGE_CACHE_DIR = CACHE_DIR / "image" / "generations"
 IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True)
 
 
@@ -517,7 +517,11 @@ async def image_generations(
             images = []
 
             for image in res["data"]:
-                image_data, content_type = load_b64_image_data(image["b64_json"])
+                if image_url := image.get("url", None):
+                    image_data, content_type = load_url_image_data(image_url, headers)
+                else:
+                    image_data, content_type = load_b64_image_data(image["b64_json"])
+
                 url = upload_image(request, data, image_data, content_type, user)
                 images.append({"url": url})
             return images

backend/open_webui/routers/knowledge.py

@@ -437,14 +437,24 @@ def remove_file_from_knowledge_by_id(
         )
 
     # Remove content from the vector database
-    VECTOR_DB_CLIENT.delete(
-        collection_name=knowledge.id, filter={"file_id": form_data.file_id}
-    )
+    try:
+        VECTOR_DB_CLIENT.delete(
+            collection_name=knowledge.id, filter={"file_id": form_data.file_id}
+        )
+    except Exception as e:
+        log.debug("This was most likely caused by bypassing embedding processing")
+        log.debug(e)
+        pass
 
-    # 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)
+    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)

backend/open_webui/routers/memories.py

@@ -57,7 +57,9 @@ async def add_memory(
             {
                 "id": memory.id,
                 "text": memory.content,
-                "vector": request.app.state.EMBEDDING_FUNCTION(memory.content, user),
+                "vector": request.app.state.EMBEDDING_FUNCTION(
+                    memory.content, user=user
+                ),
                 "metadata": {"created_at": memory.created_at},
             }
         ],
@@ -82,7 +84,7 @@ async def query_memory(
 ):
     results = VECTOR_DB_CLIENT.search(
         collection_name=f"user-memory-{user.id}",
-        vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content, user)],
+        vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content, user=user)],
         limit=form_data.k,
     )
 
@@ -105,7 +107,9 @@ async def reset_memory_from_vector_db(
             {
                 "id": memory.id,
                 "text": memory.content,
-                "vector": request.app.state.EMBEDDING_FUNCTION(memory.content, user),
+                "vector": request.app.state.EMBEDDING_FUNCTION(
+                    memory.content, user=user
+                ),
                 "metadata": {
                     "created_at": memory.created_at,
                     "updated_at": memory.updated_at,
@@ -161,7 +165,7 @@ async def update_memory_by_id(
                     "id": memory.id,
                     "text": memory.content,
                     "vector": request.app.state.EMBEDDING_FUNCTION(
-                        memory.content, user
+                        memory.content, user=user
                     ),
                     "metadata": {
                         "created_at": memory.created_at,

backend/open_webui/routers/ollama.py

@@ -55,7 +55,7 @@ from open_webui.env import (
     ENV,
     SRC_LOG_LEVELS,
     AIOHTTP_CLIENT_TIMEOUT,
-    AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST,
+    AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST,
     BYPASS_MODEL_ACCESS_CONTROL,
 )
 from open_webui.constants import ERROR_MESSAGES
@@ -72,7 +72,7 @@ log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
 
 
 async def send_get_request(url, key=None, user: UserModel = None):
-    timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
+    timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
     try:
         async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
             async with session.get(
@@ -216,7 +216,7 @@ async def verify_connection(
     key = form_data.key
 
     async with aiohttp.ClientSession(
-        timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
+        timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
     ) as session:
         try:
             async with session.get(
@@ -295,7 +295,7 @@ async def update_config(
     }
 
 
-@cached(ttl=3)
+@cached(ttl=1)
 async def get_all_models(request: Request, user: UserModel = None):
     log.info("get_all_models()")
     if request.app.state.config.ENABLE_OLLAMA_API:
@@ -336,6 +336,7 @@ async def get_all_models(request: Request, user: UserModel = None):
                 )
 
                 prefix_id = api_config.get("prefix_id", None)
+                tags = api_config.get("tags", [])
                 model_ids = api_config.get("model_ids", [])
 
                 if len(model_ids) != 0 and "models" in response:
@@ -350,6 +351,10 @@ async def get_all_models(request: Request, user: UserModel = None):
                     for model in response.get("models", []):
                         model["model"] = f"{prefix_id}.{model['model']}"
 
+                if tags:
+                    for model in response.get("models", []):
+                        model["tags"] = tags
+
         def merge_models_lists(model_lists):
             merged_models = {}
 
@@ -460,18 +465,27 @@ async def get_ollama_versions(request: Request, url_idx: Optional[int] = None):
     if request.app.state.config.ENABLE_OLLAMA_API:
         if url_idx is None:
             # returns lowest version
-            request_tasks = [
-                send_get_request(
-                    f"{url}/api/version",
+            request_tasks = []
+
+            for idx, url in enumerate(request.app.state.config.OLLAMA_BASE_URLS):
+                api_config = request.app.state.config.OLLAMA_API_CONFIGS.get(
+                    str(idx),
                     request.app.state.config.OLLAMA_API_CONFIGS.get(
-                        str(idx),
-                        request.app.state.config.OLLAMA_API_CONFIGS.get(
-                            url, {}
-                        ),  # Legacy support
-                    ).get("key", None),
+                        url, {}
+                    ),  # Legacy support
                 )
-                for idx, url in enumerate(request.app.state.config.OLLAMA_BASE_URLS)
-            ]
+
+                enable = api_config.get("enable", True)
+                key = api_config.get("key", None)
+
+                if enable:
+                    request_tasks.append(
+                        send_get_request(
+                            f"{url}/api/version",
+                            key,
+                        )
+                    )
+
             responses = await asyncio.gather(*request_tasks)
             responses = list(filter(lambda x: x is not None, responses))
 
@@ -1164,7 +1178,7 @@ async def generate_chat_completion(
     prefix_id = api_config.get("prefix_id", None)
     if prefix_id:
         payload["model"] = payload["model"].replace(f"{prefix_id}.", "")
-
+    # payload["keep_alive"] = -1 # keep alive forever
     return await send_post_request(
         url=f"{url}/api/chat",
         payload=json.dumps(payload),
@@ -1183,7 +1197,7 @@ class OpenAIChatMessageContent(BaseModel):
 
 class OpenAIChatMessage(BaseModel):
     role: str
-    content: Union[str, list[OpenAIChatMessageContent]]
+    content: Union[Optional[str], list[OpenAIChatMessageContent]]
 
     model_config = ConfigDict(extra="allow")
 

backend/open_webui/routers/openai.py

@@ -22,7 +22,7 @@ from open_webui.config import (
 )
 from open_webui.env import (
     AIOHTTP_CLIENT_TIMEOUT,
-    AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST,
+    AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST,
     ENABLE_FORWARD_USER_INFO_HEADERS,
     BYPASS_MODEL_ACCESS_CONTROL,
 )
@@ -36,6 +36,9 @@ from open_webui.utils.payload import (
     apply_model_params_to_body_openai,
     apply_model_system_prompt_to_body,
 )
+from open_webui.utils.misc import (
+    convert_logit_bias_input_to_json,
+)
 
 from open_webui.utils.auth import get_admin_user, get_verified_user
 from open_webui.utils.access_control import has_access
@@ -53,7 +56,7 @@ log.setLevel(SRC_LOG_LEVELS["OPENAI"])
 
 
 async def send_get_request(url, key=None, user: UserModel = None):
-    timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
+    timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
     try:
         async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
             async with session.get(
@@ -67,7 +70,7 @@ async def send_get_request(url, key=None, user: UserModel = None):
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
                         }
-                        if ENABLE_FORWARD_USER_INFO_HEADERS
+                        if ENABLE_FORWARD_USER_INFO_HEADERS and user
                         else {}
                     ),
                 },
@@ -192,7 +195,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
         body = await request.body()
         name = hashlib.sha256(body).hexdigest()
 
-        SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
+        SPEECH_CACHE_DIR = CACHE_DIR / "audio" / "speech"
         SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
         file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
         file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
@@ -350,6 +353,7 @@ async def get_all_models_responses(request: Request, user: UserModel) -> list:
             )
 
             prefix_id = api_config.get("prefix_id", None)
+            tags = api_config.get("tags", [])
 
             if prefix_id:
                 for model in (
@@ -357,6 +361,12 @@ async def get_all_models_responses(request: Request, user: UserModel) -> list:
                 ):
                     model["id"] = f"{prefix_id}.{model['id']}"
 
+            if tags:
+                for model in (
+                    response if isinstance(response, list) else response.get("data", [])
+                ):
+                    model["tags"] = tags
+
     log.debug(f"get_all_models:responses() {responses}")
     return responses
 
@@ -374,7 +384,7 @@ async def get_filtered_models(models, user):
     return filtered_models
 
 
-@cached(ttl=3)
+@cached(ttl=1)
 async def get_all_models(request: Request, user: UserModel) -> dict[str, list]:
     log.info("get_all_models()")
 
@@ -396,6 +406,7 @@ async def get_all_models(request: Request, user: UserModel) -> dict[str, list]:
 
         for idx, models in enumerate(model_lists):
             if models is not None and "error" not in models:
+
                 merged_list.extend(
                     [
                         {
@@ -406,18 +417,21 @@ async def get_all_models(request: Request, user: UserModel) -> dict[str, list]:
                             "urlIdx": idx,
                         }
                         for model in models
-                        if "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",
-                            ]
+                        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",
+                                ]
+                            )
                         )
                     ]
                 )
@@ -448,9 +462,7 @@ async def get_models(
 
         r = None
         async with aiohttp.ClientSession(
-            timeout=aiohttp.ClientTimeout(
-                total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST
-            )
+            timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
         ) as session:
             try:
                 async with session.get(
@@ -530,7 +542,7 @@ async def verify_connection(
     key = form_data.key
 
     async with aiohttp.ClientSession(
-        timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
+        timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
     ) as session:
         try:
             async with session.get(
@@ -668,6 +680,11 @@ async def generate_chat_completion(
         del payload["max_tokens"]
 
     # Convert the modified body back to JSON
+    if "logit_bias" in payload:
+        payload["logit_bias"] = json.loads(
+            convert_logit_bias_input_to_json(payload["logit_bias"])
+        )
+
     payload = json.dumps(payload)
 
     r = None

backend/open_webui/routers/pipelines.py

@@ -90,8 +90,8 @@ async def process_pipeline_inlet_filter(request, payload, user, models):
                     headers=headers,
                     json=request_data,
                 ) as response:
-                    response.raise_for_status()
                     payload = await response.json()
+                    response.raise_for_status()
             except aiohttp.ClientResponseError as e:
                 res = (
                     await response.json()
@@ -139,8 +139,8 @@ async def process_pipeline_outlet_filter(request, payload, user, models):
                     headers=headers,
                     json=request_data,
                 ) as response:
-                    response.raise_for_status()
                     payload = await response.json()
+                    response.raise_for_status()
             except aiohttp.ClientResponseError as e:
                 try:
                     res = (

backend/open_webui/routers/retrieval.py

@@ -59,7 +59,7 @@ from open_webui.retrieval.web.serpstack import search_serpstack
 from open_webui.retrieval.web.tavily import search_tavily
 from open_webui.retrieval.web.bing import search_bing
 from open_webui.retrieval.web.exa import search_exa
-
+from open_webui.retrieval.web.perplexity import search_perplexity
 
 from open_webui.retrieval.utils import (
     get_embedding_function,
@@ -74,7 +74,6 @@ from open_webui.utils.misc import (
 )
 from open_webui.utils.auth import get_admin_user, get_verified_user
 
-
 from open_webui.config import (
     ENV,
     RAG_EMBEDDING_MODEL_AUTO_UPDATE,
@@ -83,6 +82,8 @@ from open_webui.config import (
     RAG_RERANKING_MODEL_TRUST_REMOTE_CODE,
     UPLOAD_DIR,
     DEFAULT_LOCALE,
+    RAG_EMBEDDING_CONTENT_PREFIX,
+    RAG_EMBEDDING_QUERY_PREFIX,
 )
 from open_webui.env import (
     SRC_LOG_LEVELS,
@@ -123,7 +124,7 @@ def get_ef(
 
 
 def get_rf(
-    reranking_model: str,
+    reranking_model: Optional[str] = None,
     auto_update: bool = False,
 ):
     rf = None
@@ -149,8 +150,8 @@ def get_rf(
                     device=DEVICE_TYPE,
                     trust_remote_code=RAG_RERANKING_MODEL_TRUST_REMOTE_CODE,
                 )
-            except:
-                log.error("CrossEncoder error")
+            except Exception as e:
+                log.error(f"CrossEncoder: {e}")
                 raise Exception(ERROR_MESSAGES.DEFAULT("CrossEncoder error"))
     return rf
 
@@ -173,7 +174,7 @@ class ProcessUrlForm(CollectionNameForm):
     url: str
 
 
-class SearchForm(CollectionNameForm):
+class SearchForm(BaseModel):
     query: str
 
 
@@ -358,10 +359,14 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
         "content_extraction": {
             "engine": request.app.state.config.CONTENT_EXTRACTION_ENGINE,
             "tika_server_url": request.app.state.config.TIKA_SERVER_URL,
+            "docling_server_url": request.app.state.config.DOCLING_SERVER_URL,
             "document_intelligence_config": {
                 "endpoint": request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
                 "key": request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
             },
+            "mistral_ocr_config": {
+                "api_key": request.app.state.config.MISTRAL_OCR_API_KEY,
+            },
         },
         "chunk": {
             "text_splitter": request.app.state.config.TEXT_SPLITTER,
@@ -405,6 +410,7 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
                 "bing_search_v7_endpoint": request.app.state.config.BING_SEARCH_V7_ENDPOINT,
                 "bing_search_v7_subscription_key": request.app.state.config.BING_SEARCH_V7_SUBSCRIPTION_KEY,
                 "exa_api_key": request.app.state.config.EXA_API_KEY,
+                "perplexity_api_key": request.app.state.config.PERPLEXITY_API_KEY,
                 "result_count": request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
                 "trust_env": request.app.state.config.RAG_WEB_SEARCH_TRUST_ENV,
                 "concurrent_requests": request.app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
@@ -424,10 +430,16 @@ class DocumentIntelligenceConfigForm(BaseModel):
     key: str
 
 
+class MistralOCRConfigForm(BaseModel):
+    api_key: str
+
+
 class ContentExtractionConfig(BaseModel):
     engine: str = ""
     tika_server_url: Optional[str] = None
+    docling_server_url: Optional[str] = None
     document_intelligence_config: Optional[DocumentIntelligenceConfigForm] = None
+    mistral_ocr_config: Optional[MistralOCRConfigForm] = None
 
 
 class ChunkParamUpdateForm(BaseModel):
@@ -465,6 +477,7 @@ class WebSearchConfig(BaseModel):
     bing_search_v7_endpoint: Optional[str] = None
     bing_search_v7_subscription_key: Optional[str] = None
     exa_api_key: Optional[str] = None
+    perplexity_api_key: Optional[str] = None
     result_count: Optional[int] = None
     concurrent_requests: Optional[int] = None
     trust_env: Optional[bool] = None
@@ -538,6 +551,9 @@ async def update_rag_config(
         request.app.state.config.TIKA_SERVER_URL = (
             form_data.content_extraction.tika_server_url
         )
+        request.app.state.config.DOCLING_SERVER_URL = (
+            form_data.content_extraction.docling_server_url
+        )
         if form_data.content_extraction.document_intelligence_config is not None:
             request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT = (
                 form_data.content_extraction.document_intelligence_config.endpoint
@@ -545,6 +561,10 @@ async def update_rag_config(
             request.app.state.config.DOCUMENT_INTELLIGENCE_KEY = (
                 form_data.content_extraction.document_intelligence_config.key
             )
+        if form_data.content_extraction.mistral_ocr_config is not None:
+            request.app.state.config.MISTRAL_OCR_API_KEY = (
+                form_data.content_extraction.mistral_ocr_config.api_key
+            )
 
     if form_data.chunk is not None:
         request.app.state.config.TEXT_SPLITTER = form_data.chunk.text_splitter
@@ -617,6 +637,10 @@ async def update_rag_config(
 
         request.app.state.config.EXA_API_KEY = form_data.web.search.exa_api_key
 
+        request.app.state.config.PERPLEXITY_API_KEY = (
+            form_data.web.search.perplexity_api_key
+        )
+
         request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = (
             form_data.web.search.result_count
         )
@@ -642,10 +666,14 @@ async def update_rag_config(
         "content_extraction": {
             "engine": request.app.state.config.CONTENT_EXTRACTION_ENGINE,
             "tika_server_url": request.app.state.config.TIKA_SERVER_URL,
+            "docling_server_url": request.app.state.config.DOCLING_SERVER_URL,
             "document_intelligence_config": {
                 "endpoint": request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
                 "key": request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
             },
+            "mistral_ocr_config": {
+                "api_key": request.app.state.config.MISTRAL_OCR_API_KEY,
+            },
         },
         "chunk": {
             "text_splitter": request.app.state.config.TEXT_SPLITTER,
@@ -683,6 +711,7 @@ async def update_rag_config(
                 "bing_search_v7_endpoint": request.app.state.config.BING_SEARCH_V7_ENDPOINT,
                 "bing_search_v7_subscription_key": request.app.state.config.BING_SEARCH_V7_SUBSCRIPTION_KEY,
                 "exa_api_key": request.app.state.config.EXA_API_KEY,
+                "perplexity_api_key": request.app.state.config.PERPLEXITY_API_KEY,
                 "result_count": request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
                 "concurrent_requests": request.app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
                 "trust_env": request.app.state.config.RAG_WEB_SEARCH_TRUST_ENV,
@@ -706,6 +735,7 @@ async def get_query_settings(request: Request, user=Depends(get_admin_user)):
         "status": True,
         "template": request.app.state.config.RAG_TEMPLATE,
         "k": request.app.state.config.TOP_K,
+        "k_reranker": request.app.state.config.TOP_K_RERANKER,
         "r": request.app.state.config.RELEVANCE_THRESHOLD,
         "hybrid": request.app.state.config.ENABLE_RAG_HYBRID_SEARCH,
     }
@@ -713,6 +743,7 @@ async def get_query_settings(request: Request, user=Depends(get_admin_user)):
 
 class QuerySettingsForm(BaseModel):
     k: Optional[int] = None
+    k_reranker: Optional[int] = None
     r: Optional[float] = None
     template: Optional[str] = None
     hybrid: Optional[bool] = None
@@ -724,16 +755,21 @@ async def update_query_settings(
 ):
     request.app.state.config.RAG_TEMPLATE = form_data.template
     request.app.state.config.TOP_K = form_data.k if form_data.k else 4
+    request.app.state.config.TOP_K_RERANKER = form_data.k_reranker or 4
     request.app.state.config.RELEVANCE_THRESHOLD = form_data.r if form_data.r else 0.0
 
     request.app.state.config.ENABLE_RAG_HYBRID_SEARCH = (
         form_data.hybrid if form_data.hybrid else False
     )
 
+    if not request.app.state.config.ENABLE_RAG_HYBRID_SEARCH:
+        request.app.state.rf = None
+
     return {
         "status": True,
         "template": request.app.state.config.RAG_TEMPLATE,
         "k": request.app.state.config.TOP_K,
+        "k_reranker": request.app.state.config.TOP_K_RERANKER,
         "r": request.app.state.config.RELEVANCE_THRESHOLD,
         "hybrid": request.app.state.config.ENABLE_RAG_HYBRID_SEARCH,
     }
@@ -874,7 +910,9 @@ def save_docs_to_vector_db(
         )
 
         embeddings = embedding_function(
-            list(map(lambda x: x.replace("\n", " "), texts)), user=user
+            list(map(lambda x: x.replace("\n", " "), texts)),
+            prefix=RAG_EMBEDDING_CONTENT_PREFIX,
+            user=user,
         )
 
         items = [
@@ -920,7 +958,7 @@ def process_file(
 
         if form_data.content:
             # Update the content in the file
-            # Usage: /files/{file_id}/data/content/update
+            # Usage: /files/{file_id}/data/content/update, /files/ (audio file upload pipeline)
 
             try:
                 # /files/{file_id}/data/content/update
@@ -983,9 +1021,11 @@ def process_file(
                 loader = Loader(
                     engine=request.app.state.config.CONTENT_EXTRACTION_ENGINE,
                     TIKA_SERVER_URL=request.app.state.config.TIKA_SERVER_URL,
+                    DOCLING_SERVER_URL=request.app.state.config.DOCLING_SERVER_URL,
                     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
@@ -1182,9 +1222,13 @@ def process_web(
         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
-        )
+
+        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
+            )
+        else:
+            collection_name = None
 
         return {
             "status": True,
@@ -1196,6 +1240,7 @@ def process_web(
                 },
                 "meta": {
                     "name": form_data.url,
+                    "source": form_data.url,
                 },
             },
         }
@@ -1221,6 +1266,7 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
     - SERPLY_API_KEY
     - TAVILY_API_KEY
     - EXA_API_KEY
+    - PERPLEXITY_API_KEY
     - SEARCHAPI_API_KEY + SEARCHAPI_ENGINE (by default `google`)
     - SERPAPI_API_KEY + SERPAPI_ENGINE (by default `google`)
     Args:
@@ -1385,6 +1431,13 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
             request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
             request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST,
         )
+    elif engine == "perplexity":
+        return search_perplexity(
+            request.app.state.config.PERPLEXITY_API_KEY,
+            query,
+            request.app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+            request.app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST,
+        )
     else:
         raise Exception("No search engine API key found in environment variables")
 
@@ -1411,12 +1464,6 @@ async def process_web_search(
     log.debug(f"web_results: {web_results}")
 
     try:
-        collection_name = form_data.collection_name
-        if collection_name == "" or collection_name is None:
-            collection_name = f"web-search-{calculate_sha256_string(form_data.query)}"[
-                :63
-            ]
-
         urls = [result.link for result in web_results]
         loader = get_web_loader(
             urls,
@@ -1425,6 +1472,9 @@ async def process_web_search(
             trust_env=request.app.state.config.RAG_WEB_SEARCH_TRUST_ENV,
         )
         docs = await loader.aload()
+        urls = [
+            doc.metadata["source"] for doc in docs
+        ]  # only keep URLs which could be retrieved
 
         if request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL:
             return {
@@ -1441,18 +1491,26 @@ async def process_web_search(
                 "loaded_count": len(docs),
             }
         else:
-            await run_in_threadpool(
-                save_docs_to_vector_db,
-                request,
-                docs,
-                collection_name,
-                overwrite=True,
-                user=user,
-            )
+            collection_names = []
+            for doc_idx, doc in enumerate(docs):
+                collection_name = f"web-search-{calculate_sha256_string(form_data.query + '-' + urls[doc_idx])}"[
+                    :63
+                ]
+
+                collection_names.append(collection_name)
+
+                await run_in_threadpool(
+                    save_docs_to_vector_db,
+                    request,
+                    [doc],
+                    collection_name,
+                    overwrite=True,
+                    user=user,
+                )
 
             return {
                 "status": True,
-                "collection_name": collection_name,
+                "collection_names": collection_names,
                 "filenames": urls,
                 "loaded_count": len(docs),
             }
@@ -1468,6 +1526,7 @@ class QueryDocForm(BaseModel):
     collection_name: str
     query: str
     k: Optional[int] = None
+    k_reranker: Optional[int] = None
     r: Optional[float] = None
     hybrid: Optional[bool] = None
 
@@ -1480,14 +1539,21 @@ def query_doc_handler(
 ):
     try:
         if request.app.state.config.ENABLE_RAG_HYBRID_SEARCH:
+            collection_results = {}
+            collection_results[form_data.collection_name] = VECTOR_DB_CLIENT.get(
+                collection_name=form_data.collection_name
+            )
             return query_doc_with_hybrid_search(
                 collection_name=form_data.collection_name,
+                collection_result=collection_results[form_data.collection_name],
                 query=form_data.query,
-                embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
-                    query, user=user
+                embedding_function=lambda query, prefix: request.app.state.EMBEDDING_FUNCTION(
+                    query, prefix=prefix, user=user
                 ),
                 k=form_data.k if form_data.k else request.app.state.config.TOP_K,
                 reranking_function=request.app.state.rf,
+                k_reranker=form_data.k_reranker
+                or request.app.state.config.TOP_K_RERANKER,
                 r=(
                     form_data.r
                     if form_data.r
@@ -1499,7 +1565,7 @@ def query_doc_handler(
             return query_doc(
                 collection_name=form_data.collection_name,
                 query_embedding=request.app.state.EMBEDDING_FUNCTION(
-                    form_data.query, user=user
+                    form_data.query, prefix=RAG_EMBEDDING_QUERY_PREFIX, user=user
                 ),
                 k=form_data.k if form_data.k else request.app.state.config.TOP_K,
                 user=user,
@@ -1516,6 +1582,7 @@ class QueryCollectionsForm(BaseModel):
     collection_names: list[str]
     query: str
     k: Optional[int] = None
+    k_reranker: Optional[int] = None
     r: Optional[float] = None
     hybrid: Optional[bool] = None
 
@@ -1531,11 +1598,13 @@ def query_collection_handler(
             return query_collection_with_hybrid_search(
                 collection_names=form_data.collection_names,
                 queries=[form_data.query],
-                embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
-                    query, user=user
+                embedding_function=lambda query, prefix: request.app.state.EMBEDDING_FUNCTION(
+                    query, prefix=prefix, user=user
                 ),
                 k=form_data.k if form_data.k else request.app.state.config.TOP_K,
                 reranking_function=request.app.state.rf,
+                k_reranker=form_data.k_reranker
+                or request.app.state.config.TOP_K_RERANKER,
                 r=(
                     form_data.r
                     if form_data.r
@@ -1546,8 +1615,8 @@ def query_collection_handler(
             return query_collection(
                 collection_names=form_data.collection_names,
                 queries=[form_data.query],
-                embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
-                    query, user=user
+                embedding_function=lambda query, prefix: request.app.state.EMBEDDING_FUNCTION(
+                    query, prefix=prefix, user=user
                 ),
                 k=form_data.k if form_data.k else request.app.state.config.TOP_K,
             )
@@ -1624,7 +1693,11 @@ if ENV == "dev":
 
     @router.get("/ef/{text}")
     async def get_embeddings(request: Request, text: Optional[str] = "Hello World!"):
-        return {"result": request.app.state.EMBEDDING_FUNCTION(text)}
+        return {
+            "result": request.app.state.EMBEDDING_FUNCTION(
+                text, prefix=RAG_EMBEDDING_QUERY_PREFIX
+            )
+        }
 
 
 class BatchProcessFilesForm(BaseModel):

backend/open_webui/routers/tasks.py

@@ -653,17 +653,6 @@ async def generate_moa_response(
             detail="Model not found",
         )
 
-    # Check if the user has a custom task model
-    # If the user has a custom task model, use that model
-    task_model_id = get_task_model_id(
-        model_id,
-        request.app.state.config.TASK_MODEL,
-        request.app.state.config.TASK_MODEL_EXTERNAL,
-        models,
-    )
-
-    log.debug(f"generating MOA model {task_model_id} for user {user.email} ")
-
     template = DEFAULT_MOA_GENERATION_PROMPT_TEMPLATE
 
     content = moa_response_generation_template(
@@ -673,7 +662,7 @@ async def generate_moa_response(
     )
 
     payload = {
-        "model": task_model_id,
+        "model": model_id,
         "messages": [{"role": "user", "content": content}],
         "stream": form_data.get("stream", False),
         "metadata": {

backend/open_webui/routers/tools.py

@@ -1,6 +1,7 @@
 import logging
 from pathlib import Path
 from typing import Optional
+import time
 
 from open_webui.models.tools import (
     ToolForm,
@@ -18,6 +19,8 @@ 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.env import SRC_LOG_LEVELS
 
+from open_webui.utils.tools import get_tool_servers_data
+
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["MAIN"])
 
@@ -30,11 +33,51 @@ router = APIRouter()
 
 
 @router.get("/", response_model=list[ToolUserResponse])
-async def get_tools(user=Depends(get_verified_user)):
-    if user.role == "admin":
-        tools = Tools.get_tools()
-    else:
-        tools = Tools.get_tools_by_user_id(user.id, "read")
+async def get_tools(request: Request, user=Depends(get_verified_user)):
+
+    if not request.app.state.TOOL_SERVERS:
+        # If the tool servers are not set, we need to set them
+        # This is done only once when the server starts
+        # This is done to avoid loading the tool servers every time
+
+        request.app.state.TOOL_SERVERS = await get_tool_servers_data(
+            request.app.state.config.TOOL_SERVER_CONNECTIONS
+        )
+
+    tools = Tools.get_tools()
+    for idx, server in enumerate(request.app.state.TOOL_SERVERS):
+        tools.append(
+            ToolUserResponse(
+                **{
+                    "id": f"server:{server['idx']}",
+                    "user_id": f"server:{server['idx']}",
+                    "name": server["openapi"]
+                    .get("info", {})
+                    .get("title", "Tool Server"),
+                    "meta": {
+                        "description": server["openapi"]
+                        .get("info", {})
+                        .get("description", ""),
+                    },
+                    "access_control": request.app.state.config.TOOL_SERVER_CONNECTIONS[
+                        idx
+                    ]
+                    .get("config", {})
+                    .get("access_control", None),
+                    "updated_at": int(time.time()),
+                    "created_at": int(time.time()),
+                }
+            )
+        )
+
+    if user.role != "admin":
+        tools = [
+            tool
+            for tool in tools
+            if tool.user_id == user.id
+            or has_access(user.id, "read", tool.access_control)
+        ]
+
     return tools
 
 
@@ -105,7 +148,7 @@ async def create_new_tools(
             specs = get_tools_specs(TOOLS[form_data.id])
             tools = Tools.insert_new_tool(user.id, form_data, specs)
 
-            tool_cache_dir = Path(CACHE_DIR) / "tools" / form_data.id
+            tool_cache_dir = CACHE_DIR / "tools" / form_data.id
             tool_cache_dir.mkdir(parents=True, exist_ok=True)
 
             if tools:

backend/open_webui/routers/users.py

@@ -2,6 +2,7 @@ import logging
 from typing import Optional
 
 from open_webui.models.auths import Auths
+from open_webui.models.groups import Groups
 from open_webui.models.chats import Chats
 from open_webui.models.users import (
     UserModel,
@@ -17,7 +18,10 @@ from open_webui.constants import ERROR_MESSAGES
 from open_webui.env import SRC_LOG_LEVELS
 from fastapi import APIRouter, Depends, HTTPException, Request, status
 from pydantic import BaseModel
+
 from open_webui.utils.auth import get_admin_user, get_password_hash, get_verified_user
+from open_webui.utils.access_control import get_permissions
+
 
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["MODELS"])
@@ -45,7 +49,7 @@ async def get_users(
 
 @router.get("/groups")
 async def get_user_groups(user=Depends(get_verified_user)):
-    return Users.get_user_groups(user.id)
+    return Groups.get_groups_by_member_id(user.id)
 
 
 ############################
@@ -54,8 +58,12 @@ async def get_user_groups(user=Depends(get_verified_user)):
 
 
 @router.get("/permissions")
-async def get_user_permissisions(user=Depends(get_verified_user)):
-    return Users.get_user_groups(user.id)
+async def get_user_permissisions(request: Request, user=Depends(get_verified_user)):
+    user_permissions = get_permissions(
+        user.id, request.app.state.config.USER_PERMISSIONS
+    )
+
+    return user_permissions
 
 
 ############################
@@ -68,15 +76,24 @@ class WorkspacePermissions(BaseModel):
     tools: bool = False
 
 
+class SharingPermissions(BaseModel):
+    public_models: bool = True
+    public_knowledge: bool = True
+    public_prompts: bool = True
+    public_tools: bool = True
+
+
 class ChatPermissions(BaseModel):
     controls: bool = True
     file_upload: bool = True
     delete: bool = True
     edit: bool = True
     temporary: bool = True
+    temporary_enforced: bool = False
 
 
 class FeaturesPermissions(BaseModel):
+    direct_tool_servers: bool = False
     web_search: bool = True
     image_generation: bool = True
     code_interpreter: bool = True
@@ -84,16 +101,20 @@ class FeaturesPermissions(BaseModel):
 
 class UserPermissions(BaseModel):
     workspace: WorkspacePermissions
+    sharing: SharingPermissions
     chat: ChatPermissions
     features: FeaturesPermissions
 
 
 @router.get("/default/permissions", response_model=UserPermissions)
-async def get_user_permissions(request: Request, user=Depends(get_admin_user)):
+async def get_default_user_permissions(request: Request, user=Depends(get_admin_user)):
     return {
         "workspace": WorkspacePermissions(
             **request.app.state.config.USER_PERMISSIONS.get("workspace", {})
         ),
+        "sharing": SharingPermissions(
+            **request.app.state.config.USER_PERMISSIONS.get("sharing", {})
+        ),
         "chat": ChatPermissions(
             **request.app.state.config.USER_PERMISSIONS.get("chat", {})
         ),
@@ -104,7 +125,7 @@ async def get_user_permissions(request: Request, user=Depends(get_admin_user)):
 
 
 @router.post("/default/permissions")
-async def update_user_permissions(
+async def update_default_user_permissions(
     request: Request, form_data: UserPermissions, user=Depends(get_admin_user)
 ):
     request.app.state.config.USER_PERMISSIONS = form_data.model_dump()

backend/open_webui/socket/main.py

@@ -3,15 +3,24 @@ import socketio
 import logging
 import sys
 import time
+from redis import asyncio as aioredis
 
 from open_webui.models.users import Users, UserNameResponse
 from open_webui.models.channels import Channels
 from open_webui.models.chats import Chats
+from open_webui.utils.redis import (
+    parse_redis_sentinel_url,
+    get_sentinels_from_env,
+    AsyncRedisSentinelManager,
+)
 
 from open_webui.env import (
     ENABLE_WEBSOCKET_SUPPORT,
     WEBSOCKET_MANAGER,
     WEBSOCKET_REDIS_URL,
+    WEBSOCKET_REDIS_LOCK_TIMEOUT,
+    WEBSOCKET_SENTINEL_PORT,
+    WEBSOCKET_SENTINEL_HOSTS,
 )
 from open_webui.utils.auth import decode_token
 from open_webui.socket.utils import RedisDict, RedisLock
@@ -28,7 +37,19 @@ log.setLevel(SRC_LOG_LEVELS["SOCKET"])
 
 
 if WEBSOCKET_MANAGER == "redis":
-    mgr = socketio.AsyncRedisManager(WEBSOCKET_REDIS_URL)
+    if WEBSOCKET_SENTINEL_HOSTS:
+        redis_config = parse_redis_sentinel_url(WEBSOCKET_REDIS_URL)
+        mgr = AsyncRedisSentinelManager(
+            WEBSOCKET_SENTINEL_HOSTS.split(","),
+            sentinel_port=int(WEBSOCKET_SENTINEL_PORT),
+            redis_port=redis_config["port"],
+            service=redis_config["service"],
+            db=redis_config["db"],
+            username=redis_config["username"],
+            password=redis_config["password"],
+        )
+    else:
+        mgr = socketio.AsyncRedisManager(WEBSOCKET_REDIS_URL)
     sio = socketio.AsyncServer(
         cors_allowed_origins=[],
         async_mode="asgi",
@@ -54,14 +75,30 @@ TIMEOUT_DURATION = 3
 
 if WEBSOCKET_MANAGER == "redis":
     log.debug("Using Redis to manage websockets.")
-    SESSION_POOL = RedisDict("open-webui:session_pool", redis_url=WEBSOCKET_REDIS_URL)
-    USER_POOL = RedisDict("open-webui:user_pool", redis_url=WEBSOCKET_REDIS_URL)
-    USAGE_POOL = RedisDict("open-webui:usage_pool", redis_url=WEBSOCKET_REDIS_URL)
+    redis_sentinels = get_sentinels_from_env(
+        WEBSOCKET_SENTINEL_HOSTS, WEBSOCKET_SENTINEL_PORT
+    )
+    SESSION_POOL = RedisDict(
+        "open-webui:session_pool",
+        redis_url=WEBSOCKET_REDIS_URL,
+        redis_sentinels=redis_sentinels,
+    )
+    USER_POOL = RedisDict(
+        "open-webui:user_pool",
+        redis_url=WEBSOCKET_REDIS_URL,
+        redis_sentinels=redis_sentinels,
+    )
+    USAGE_POOL = RedisDict(
+        "open-webui:usage_pool",
+        redis_url=WEBSOCKET_REDIS_URL,
+        redis_sentinels=redis_sentinels,
+    )
 
     clean_up_lock = RedisLock(
         redis_url=WEBSOCKET_REDIS_URL,
         lock_name="usage_cleanup_lock",
-        timeout_secs=TIMEOUT_DURATION * 2,
+        timeout_secs=WEBSOCKET_REDIS_LOCK_TIMEOUT,
+        redis_sentinels=redis_sentinels,
     )
     aquire_func = clean_up_lock.aquire_lock
     renew_func = clean_up_lock.renew_lock
@@ -268,11 +305,19 @@ async def disconnect(sid):
         # print(f"Unknown session ID {sid} disconnected")
 
 
-def get_event_emitter(request_info):
+def get_event_emitter(request_info, update_db=True):
     async def __event_emitter__(event_data):
         user_id = request_info["user_id"]
+
         session_ids = list(
-            set(USER_POOL.get(user_id, []) + [request_info["session_id"]])
+            set(
+                USER_POOL.get(user_id, [])
+                + (
+                    [request_info.get("session_id")]
+                    if request_info.get("session_id")
+                    else []
+                )
+            )
         )
 
         for session_id in session_ids:
@@ -286,40 +331,41 @@ def get_event_emitter(request_info):
                 to=session_id,
             )
 
-        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"],
-                request_info["message_id"],
-                event_data.get("data", {}),
-            )
+        if update_db:
+            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"],
+                    request_info["message_id"],
+                    event_data.get("data", {}),
+                )
 
-        if "type" in event_data and event_data["type"] == "message":
-            message = Chats.get_message_by_id_and_message_id(
-                request_info["chat_id"],
-                request_info["message_id"],
-            )
+            if "type" in event_data and event_data["type"] == "message":
+                message = Chats.get_message_by_id_and_message_id(
+                    request_info["chat_id"],
+                    request_info["message_id"],
+                )
 
-            content = message.get("content", "")
-            content += event_data.get("data", {}).get("content", "")
+                content = message.get("content", "")
+                content += event_data.get("data", {}).get("content", "")
 
-            Chats.upsert_message_to_chat_by_id_and_message_id(
-                request_info["chat_id"],
-                request_info["message_id"],
-                {
-                    "content": content,
-                },
-            )
+                Chats.upsert_message_to_chat_by_id_and_message_id(
+                    request_info["chat_id"],
+                    request_info["message_id"],
+                    {
+                        "content": content,
+                    },
+                )
 
-        if "type" in event_data and event_data["type"] == "replace":
-            content = event_data.get("data", {}).get("content", "")
+            if "type" in event_data and event_data["type"] == "replace":
+                content = event_data.get("data", {}).get("content", "")
 
-            Chats.upsert_message_to_chat_by_id_and_message_id(
-                request_info["chat_id"],
-                request_info["message_id"],
-                {
-                    "content": content,
-                },
-            )
+                Chats.upsert_message_to_chat_by_id_and_message_id(
+                    request_info["chat_id"],
+                    request_info["message_id"],
+                    {
+                        "content": content,
+                    },
+                )
 
     return __event_emitter__
 

backend/open_webui/socket/utils.py

@@ -1,15 +1,17 @@
 import json
-import redis
 import uuid
+from open_webui.utils.redis import get_redis_connection
 
 
 class RedisLock:
-    def __init__(self, redis_url, lock_name, timeout_secs):
+    def __init__(self, redis_url, lock_name, timeout_secs, redis_sentinels=[]):
         self.lock_name = lock_name
         self.lock_id = str(uuid.uuid4())
         self.timeout_secs = timeout_secs
         self.lock_obtained = False
-        self.redis = redis.Redis.from_url(redis_url, decode_responses=True)
+        self.redis = get_redis_connection(
+            redis_url, redis_sentinels, decode_responses=True
+        )
 
     def aquire_lock(self):
         # nx=True will only set this key if it _hasn't_ already been set
@@ -31,9 +33,11 @@ class RedisLock:
 
 
 class RedisDict:
-    def __init__(self, name, redis_url):
+    def __init__(self, name, redis_url, redis_sentinels=[]):
         self.name = name
-        self.redis = redis.Redis.from_url(redis_url, decode_responses=True)
+        self.redis = get_redis_connection(
+            redis_url, redis_sentinels, decode_responses=True
+        )
 
     def __setitem__(self, key, value):
         serialized_value = json.dumps(value)

backend/open_webui/static/site.webmanifest

@@ -3,13 +3,13 @@
   "short_name": "WebUI",
   "icons": [
     {
-      "src": "/favicon/web-app-manifest-192x192.png",
+      "src": "/static/web-app-manifest-192x192.png",
       "sizes": "192x192",
       "type": "image/png",
       "purpose": "maskable"
     },
     {
-      "src": "/favicon/web-app-manifest-512x512.png",
+      "src": "/static/web-app-manifest-512x512.png",
       "sizes": "512x512",
       "type": "image/png",
       "purpose": "maskable"

backend/open_webui/storage/provider.py

@@ -101,19 +101,33 @@ class LocalStorageProvider(StorageProvider):
 
 class S3StorageProvider(StorageProvider):
     def __init__(self):
-        self.s3_client = boto3.client(
-            "s3",
-            region_name=S3_REGION_NAME,
-            endpoint_url=S3_ENDPOINT_URL,
-            aws_access_key_id=S3_ACCESS_KEY_ID,
-            aws_secret_access_key=S3_SECRET_ACCESS_KEY,
-            config=Config(
-                s3={
-                    "use_accelerate_endpoint": S3_USE_ACCELERATE_ENDPOINT,
-                    "addressing_style": S3_ADDRESSING_STYLE,
-                },
-            ),
+        config = Config(
+            s3={
+                "use_accelerate_endpoint": S3_USE_ACCELERATE_ENDPOINT,
+                "addressing_style": S3_ADDRESSING_STYLE,
+            },
         )
+
+        # If access key and secret are provided, use them for authentication
+        if S3_ACCESS_KEY_ID and S3_SECRET_ACCESS_KEY:
+            self.s3_client = boto3.client(
+                "s3",
+                region_name=S3_REGION_NAME,
+                endpoint_url=S3_ENDPOINT_URL,
+                aws_access_key_id=S3_ACCESS_KEY_ID,
+                aws_secret_access_key=S3_SECRET_ACCESS_KEY,
+                config=config,
+            )
+        else:
+            # If no explicit credentials are provided, fall back to default AWS credentials
+            # This supports workload identity (IAM roles for EC2, EKS, etc.)
+            self.s3_client = boto3.client(
+                "s3",
+                region_name=S3_REGION_NAME,
+                endpoint_url=S3_ENDPOINT_URL,
+                config=config,
+            )
+
         self.bucket_name = S3_BUCKET_NAME
         self.key_prefix = S3_KEY_PREFIX if S3_KEY_PREFIX else ""
 

backend/open_webui/test/apps/webui/storage/test_provider.py

@@ -187,6 +187,17 @@ class TestS3StorageProvider:
         assert not (upload_dir / self.filename).exists()
         assert not (upload_dir / self.filename_extra).exists()
 
+    def test_init_without_credentials(self, monkeypatch):
+        """Test that S3StorageProvider can initialize without explicit credentials."""
+        # Temporarily unset the environment variables
+        monkeypatch.setattr(provider, "S3_ACCESS_KEY_ID", None)
+        monkeypatch.setattr(provider, "S3_SECRET_ACCESS_KEY", None)
+
+        # Should not raise an exception
+        storage = provider.S3StorageProvider()
+        assert storage.s3_client is not None
+        assert storage.bucket_name == provider.S3_BUCKET_NAME
+
 
 class TestGCSStorageProvider:
     Storage = provider.GCSStorageProvider()

backend/open_webui/utils/auth.py

@@ -8,7 +8,9 @@ import requests
 import os
 
 
-from datetime import UTC, datetime, timedelta
+from datetime import datetime, timedelta
+import pytz
+from pytz import UTC
 from typing import Optional, Union, List, Dict
 
 from open_webui.models.users import Users
@@ -72,7 +74,7 @@ def get_license_data(app, key):
     if key:
         try:
             res = requests.post(
-                "https://api.openwebui.com/api/v1/license",
+                "https://api.openwebui.com/api/v1/license/",
                 json={"key": key, "version": "1"},
                 timeout=5,
             )
@@ -83,11 +85,12 @@ def get_license_data(app, key):
                     if k == "resources":
                         for p, c in v.items():
                             globals().get("override_static", lambda a, b: None)(p, c)
-                    elif k == "user_count":
+                    elif k == "count":
                         setattr(app.state, "USER_COUNT", v)
-                    elif k == "webui_name":
+                    elif k == "name":
                         setattr(app.state, "WEBUI_NAME", v)
-
+                    elif k == "metadata":
+                        setattr(app.state, "LICENSE_METADATA", v)
                 return True
             else:
                 log.error(
@@ -140,12 +143,14 @@ def create_api_key():
     return f"sk-{key}"
 
 
-def get_http_authorization_cred(auth_header: str):
+def get_http_authorization_cred(auth_header: Optional[str]):
+    if not auth_header:
+        return None
     try:
         scheme, credentials = auth_header.split(" ")
         return HTTPAuthorizationCredentials(scheme=scheme, credentials=credentials)
     except Exception:
-        raise ValueError(ERROR_MESSAGES.INVALID_TOKEN)
+        return None
 
 
 def get_current_user(
@@ -179,7 +184,12 @@ def get_current_user(
                 ).split(",")
             ]
 
-            if request.url.path not in allowed_paths:
+            # Check if the request path matches any allowed endpoint.
+            if not any(
+                request.url.path == allowed
+                or request.url.path.startswith(allowed + "/")
+                for allowed in allowed_paths
+            ):
                 raise HTTPException(
                     status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.API_KEY_NOT_ALLOWED
                 )

backend/open_webui/utils/chat.py

@@ -149,7 +149,7 @@ async def generate_direct_chat_completion(
             }
         )
 
-        if "error" in res:
+        if "error" in res and res["error"]:
             raise Exception(res["error"])
 
         return res
@@ -328,9 +328,14 @@ async def chat_completed(request: Request, form_data: dict, user: Any):
     }
 
     try:
+        filter_functions = [
+            Functions.get_function_by_id(filter_id)
+            for filter_id in get_sorted_filter_ids(model)
+        ]
+
         result, _ = await process_filter_functions(
             request=request,
-            filter_ids=get_sorted_filter_ids(model),
+            filter_functions=filter_functions,
             filter_type="outlet",
             form_data=data,
             extra_params=extra_params,

backend/open_webui/utils/code_interpreter.py

@@ -1,148 +1,210 @@
 import asyncio
 import json
+import logging
 import uuid
+from typing import Optional
+
+import aiohttp
 import websockets
-import requests
-from urllib.parse import urljoin
+from pydantic import BaseModel
+
+from open_webui.env import SRC_LOG_LEVELS
+
+logger = logging.getLogger(__name__)
+logger.setLevel(SRC_LOG_LEVELS["MAIN"])
 
 
-async def execute_code_jupyter(
-    jupyter_url, code, token=None, password=None, timeout=10
-):
+class ResultModel(BaseModel):
     """
-    Executes Python code in a Jupyter kernel.
-    Supports authentication with a token or password.
-    :param jupyter_url: Jupyter server URL (e.g., "http://localhost:8888")
-    :param code: Code to execute
-    :param token: Jupyter authentication token (optional)
-    :param password: Jupyter password (optional)
-    :param timeout: WebSocket timeout in seconds (default: 10s)
-    :return: Dictionary with stdout, stderr, and result
-             - Images are prefixed with "base64:image/png," and separated by newlines if multiple.
+    Execute Code Result Model
     """
-    session = requests.Session()  # Maintain cookies
-    headers = {}  # Headers for requests
 
-    # Authenticate using password
-    if password and not token:
+    stdout: Optional[str] = ""
+    stderr: Optional[str] = ""
+    result: Optional[str] = ""
+
+
+class JupyterCodeExecuter:
+    """
+    Execute code in jupyter notebook
+    """
+
+    def __init__(
+        self,
+        base_url: str,
+        code: str,
+        token: str = "",
+        password: str = "",
+        timeout: int = 60,
+    ):
+        """
+        :param base_url: Jupyter server URL (e.g., "http://localhost:8888")
+        :param code: Code to execute
+        :param token: Jupyter authentication token (optional)
+        :param password: Jupyter password (optional)
+        :param timeout: WebSocket timeout in seconds (default: 60s)
+        """
+        self.base_url = base_url.rstrip("/")
+        self.code = code
+        self.token = token
+        self.password = password
+        self.timeout = timeout
+        self.kernel_id = ""
+        self.session = aiohttp.ClientSession(base_url=self.base_url)
+        self.params = {}
+        self.result = ResultModel()
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        if self.kernel_id:
+            try:
+                async with self.session.delete(
+                    f"/api/kernels/{self.kernel_id}", params=self.params
+                ) as response:
+                    response.raise_for_status()
+            except Exception as err:
+                logger.exception("close kernel failed, %s", err)
+        await self.session.close()
+
+    async def run(self) -> ResultModel:
         try:
-            login_url = urljoin(jupyter_url, "/login")
-            response = session.get(login_url)
+            await self.sign_in()
+            await self.init_kernel()
+            await self.execute_code()
+        except Exception as err:
+            logger.exception("execute code failed, %s", err)
+            self.result.stderr = f"Error: {err}"
+        return self.result
+
+    async def sign_in(self) -> None:
+        # password authentication
+        if self.password and not self.token:
+            async with self.session.get("/login") as response:
+                response.raise_for_status()
+                xsrf_token = response.cookies["_xsrf"].value
+                if not xsrf_token:
+                    raise ValueError("_xsrf token not found")
+                self.session.cookie_jar.update_cookies(response.cookies)
+                self.session.headers.update({"X-XSRFToken": xsrf_token})
+            async with self.session.post(
+                "/login",
+                data={"_xsrf": xsrf_token, "password": self.password},
+                allow_redirects=False,
+            ) as response:
+                response.raise_for_status()
+                self.session.cookie_jar.update_cookies(response.cookies)
+
+        # token authentication
+        if self.token:
+            self.params.update({"token": self.token})
+
+    async def init_kernel(self) -> None:
+        async with self.session.post(
+            url="/api/kernels", params=self.params
+        ) as response:
             response.raise_for_status()
-            xsrf_token = session.cookies.get("_xsrf")
-            if not xsrf_token:
-                raise ValueError("Failed to fetch _xsrf token")
-
-            login_data = {"_xsrf": xsrf_token, "password": password}
-            login_response = session.post(
-                login_url, data=login_data, cookies=session.cookies
-            )
-            login_response.raise_for_status()
-            headers["X-XSRFToken"] = xsrf_token
-        except Exception as e:
-            return {
-                "stdout": "",
-                "stderr": f"Authentication Error: {str(e)}",
-                "result": "",
-            }
-
-    # Construct API URLs with authentication token if provided
-    params = f"?token={token}" if token else ""
-    kernel_url = urljoin(jupyter_url, f"/api/kernels{params}")
-
-    try:
-        response = session.post(kernel_url, headers=headers, cookies=session.cookies)
-        response.raise_for_status()
-        kernel_id = response.json()["id"]
-
-        websocket_url = urljoin(
-            jupyter_url.replace("http", "ws"),
-            f"/api/kernels/{kernel_id}/channels{params}",
-        )
+            kernel_data = await response.json()
+            self.kernel_id = kernel_data["id"]
 
+    def init_ws(self) -> (str, dict):
+        ws_base = self.base_url.replace("http", "ws")
+        ws_params = "?" + "&".join([f"{key}={val}" for key, val in self.params.items()])
+        websocket_url = f"{ws_base}/api/kernels/{self.kernel_id}/channels{ws_params if len(ws_params) > 1 else ''}"
         ws_headers = {}
-        if password and not token:
-            ws_headers["X-XSRFToken"] = session.cookies.get("_xsrf")
-            cookies = {name: value for name, value in session.cookies.items()}
-            ws_headers["Cookie"] = "; ".join(
-                [f"{name}={value}" for name, value in cookies.items()]
-            )
+        if self.password and not self.token:
+            ws_headers = {
+                "Cookie": "; ".join(
+                    [
+                        f"{cookie.key}={cookie.value}"
+                        for cookie in self.session.cookie_jar
+                    ]
+                ),
+                **self.session.headers,
+            }
+        return websocket_url, ws_headers
 
+    async def execute_code(self) -> None:
+        # initialize ws
+        websocket_url, ws_headers = self.init_ws()
+        # execute
         async with websockets.connect(
             websocket_url, additional_headers=ws_headers
         ) as ws:
-            msg_id = str(uuid.uuid4())
-            execute_request = {
-                "header": {
-                    "msg_id": msg_id,
-                    "msg_type": "execute_request",
-                    "username": "user",
-                    "session": str(uuid.uuid4()),
-                    "date": "",
-                    "version": "5.3",
-                },
-                "parent_header": {},
-                "metadata": {},
-                "content": {
-                    "code": code,
-                    "silent": False,
-                    "store_history": True,
-                    "user_expressions": {},
-                    "allow_stdin": False,
-                    "stop_on_error": True,
-                },
-                "channel": "shell",
-            }
-            await ws.send(json.dumps(execute_request))
+            await self.execute_in_jupyter(ws)
 
-            stdout, stderr, result = "", "", []
-
-            while True:
-                try:
-                    message = await asyncio.wait_for(ws.recv(), timeout)
-                    message_data = json.loads(message)
-                    if message_data.get("parent_header", {}).get("msg_id") == msg_id:
-                        msg_type = message_data.get("msg_type")
-
-                        if msg_type == "stream":
-                            if message_data["content"]["name"] == "stdout":
-                                stdout += message_data["content"]["text"]
-                            elif message_data["content"]["name"] == "stderr":
-                                stderr += message_data["content"]["text"]
-
-                        elif msg_type in ("execute_result", "display_data"):
-                            data = message_data["content"]["data"]
-                            if "image/png" in data:
-                                result.append(
-                                    f"data:image/png;base64,{data['image/png']}"
-                                )
-                            elif "text/plain" in data:
-                                result.append(data["text/plain"])
-
-                        elif msg_type == "error":
-                            stderr += "\n".join(message_data["content"]["traceback"])
-
-                        elif (
-                            msg_type == "status"
-                            and message_data["content"]["execution_state"] == "idle"
-                        ):
+    async def execute_in_jupyter(self, ws) -> None:
+        # send message
+        msg_id = uuid.uuid4().hex
+        await ws.send(
+            json.dumps(
+                {
+                    "header": {
+                        "msg_id": msg_id,
+                        "msg_type": "execute_request",
+                        "username": "user",
+                        "session": uuid.uuid4().hex,
+                        "date": "",
+                        "version": "5.3",
+                    },
+                    "parent_header": {},
+                    "metadata": {},
+                    "content": {
+                        "code": self.code,
+                        "silent": False,
+                        "store_history": True,
+                        "user_expressions": {},
+                        "allow_stdin": False,
+                        "stop_on_error": True,
+                    },
+                    "channel": "shell",
+                }
+            )
+        )
+        # parse message
+        stdout, stderr, result = "", "", []
+        while True:
+            try:
+                # wait for message
+                message = await asyncio.wait_for(ws.recv(), self.timeout)
+                message_data = json.loads(message)
+                # msg id not match, skip
+                if message_data.get("parent_header", {}).get("msg_id") != msg_id:
+                    continue
+                # check message type
+                msg_type = message_data.get("msg_type")
+                match msg_type:
+                    case "stream":
+                        if message_data["content"]["name"] == "stdout":
+                            stdout += message_data["content"]["text"]
+                        elif message_data["content"]["name"] == "stderr":
+                            stderr += message_data["content"]["text"]
+                    case "execute_result" | "display_data":
+                        data = message_data["content"]["data"]
+                        if "image/png" in data:
+                            result.append(f"data:image/png;base64,{data['image/png']}")
+                        elif "text/plain" in data:
+                            result.append(data["text/plain"])
+                    case "error":
+                        stderr += "\n".join(message_data["content"]["traceback"])
+                    case "status":
+                        if message_data["content"]["execution_state"] == "idle":
                             break
 
-                except asyncio.TimeoutError:
-                    stderr += "\nExecution timed out."
-                    break
+            except asyncio.TimeoutError:
+                stderr += "\nExecution timed out."
+                break
+        self.result.stdout = stdout.strip()
+        self.result.stderr = stderr.strip()
+        self.result.result = "\n".join(result).strip() if result else ""
 
-    except Exception as e:
-        return {"stdout": "", "stderr": f"Error: {str(e)}", "result": ""}
 
-    finally:
-        if kernel_id:
-            requests.delete(
-                f"{kernel_url}/{kernel_id}", headers=headers, cookies=session.cookies
-            )
-
-    return {
-        "stdout": stdout.strip(),
-        "stderr": stderr.strip(),
-        "result": "\n".join(result).strip() if result else "",
-    }
+async def execute_code_jupyter(
+    base_url: str, code: str, token: str = "", password: str = "", timeout: int = 60
+) -> dict:
+    async with JupyterCodeExecuter(
+        base_url, code, token, password, timeout
+    ) as executor:
+        result = await executor.run()
+        return result.model_dump()

backend/open_webui/utils/filter.py

@@ -9,12 +9,12 @@ log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["MAIN"])
 
 
-def get_sorted_filter_ids(model):
+def get_sorted_filter_ids(model: dict):
     def get_priority(function_id):
         function = Functions.get_function_by_id(function_id)
-        if function is not None and hasattr(function, "valves"):
-            # TODO: Fix FunctionModel to include vavles
-            return (function.valves if function.valves else {}).get("priority", 0)
+        if function is not None:
+            valves = Functions.get_function_valves_by_id(function_id)
+            return valves.get("priority", 0) if valves else 0
         return 0
 
     filter_ids = [function.id for function in Functions.get_global_filter_functions()]
@@ -33,12 +33,13 @@ def get_sorted_filter_ids(model):
 
 
 async def process_filter_functions(
-    request, filter_ids, filter_type, form_data, extra_params
+    request, filter_functions, filter_type, form_data, extra_params
 ):
     skip_files = None
 
-    for filter_id in filter_ids:
-        filter = Functions.get_function_by_id(filter_id)
+    for function in filter_functions:
+        filter = function
+        filter_id = function.id
         if not filter:
             continue
 
@@ -48,6 +49,11 @@ async def process_filter_functions(
             function_module, _, _ = load_function_module_by_id(filter_id)
             request.app.state.FUNCTIONS[filter_id] = function_module
 
+        # Prepare handler function
+        handler = getattr(function_module, filter_type, None)
+        if not handler:
+            continue
+
         # Check if the function has a file_handler variable
         if filter_type == "inlet" and hasattr(function_module, "file_handler"):
             skip_files = function_module.file_handler
@@ -59,11 +65,6 @@ async def process_filter_functions(
                 **(valves if valves else {})
             )
 
-        # Prepare handler function
-        handler = getattr(function_module, filter_type, None)
-        if not handler:
-            continue
-
         try:
             # Prepare parameters
             sig = inspect.signature(handler)
@@ -100,11 +101,12 @@ async def process_filter_functions(
                 form_data = handler(**params)
 
         except Exception as e:
-            log.exception(f"Error in {filter_type} handler {filter_id}: {e}")
+            log.debug(f"Error in {filter_type} handler {filter_id}: {e}")
             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"]
 
     return form_data, {}

backend/open_webui/utils/middleware.py

@@ -18,9 +18,7 @@ from uuid import uuid4
 from concurrent.futures import ThreadPoolExecutor
 
 
-from fastapi import Request
-from fastapi import BackgroundTasks
-
+from fastapi import Request, HTTPException
 from starlette.responses import Response, StreamingResponse
 
 
@@ -68,6 +66,7 @@ from open_webui.utils.misc import (
     get_last_user_message,
     get_last_assistant_message,
     prepend_to_first_user_message_content,
+    convert_logit_bias_input_to_json,
 )
 from open_webui.utils.tools import get_tools
 from open_webui.utils.plugin import load_function_module_by_id
@@ -99,7 +98,7 @@ log.setLevel(SRC_LOG_LEVELS["MAIN"])
 
 
 async def chat_completion_tools_handler(
-    request: Request, body: dict, user: UserModel, models, tools
+    request: Request, body: dict, extra_params: dict, user: UserModel, models, tools
 ) -> tuple[dict, dict]:
     async def get_content_from_response(response) -> Optional[str]:
         content = None
@@ -134,6 +133,9 @@ async def chat_completion_tools_handler(
             "metadata": {"task": str(TASKS.FUNCTION_CALLING)},
         }
 
+    event_caller = extra_params["__event_call__"]
+    metadata = extra_params["__metadata__"]
+
     task_model_id = get_task_model_id(
         body["model"],
         request.app.state.config.TASK_MODEL,
@@ -155,7 +157,6 @@ async def chat_completion_tools_handler(
     tools_function_calling_prompt = tools_function_calling_generation_template(
         template, tools_specs
     )
-    log.info(f"{tools_function_calling_prompt=}")
     payload = get_tools_function_calling_payload(
         body["messages"], task_model_id, tools_function_calling_prompt
     )
@@ -188,34 +189,73 @@ async def chat_completion_tools_handler(
                 tool_function_params = tool_call.get("parameters", {})
 
                 try:
-                    required_params = (
-                        tools[tool_function_name]
-                        .get("spec", {})
-                        .get("parameters", {})
-                        .get("required", [])
+                    tool = tools[tool_function_name]
+
+                    spec = tool.get("spec", {})
+                    allowed_params = (
+                        spec.get("parameters", {}).get("properties", {}).keys()
                     )
-                    tool_function = tools[tool_function_name]["callable"]
                     tool_function_params = {
                         k: v
                         for k, v in tool_function_params.items()
-                        if k in required_params
+                        if k in allowed_params
                     }
-                    tool_output = await tool_function(**tool_function_params)
+
+                    if tool.get("direct", False):
+                        tool_result = await event_caller(
+                            {
+                                "type": "execute:tool",
+                                "data": {
+                                    "id": str(uuid4()),
+                                    "name": tool_function_name,
+                                    "params": tool_function_params,
+                                    "server": tool.get("server", {}),
+                                    "session_id": metadata.get("session_id", None),
+                                },
+                            }
+                        )
+                    else:
+                        tool_function = tool["callable"]
+                        tool_result = await tool_function(**tool_function_params)
 
                 except Exception as e:
-                    tool_output = str(e)
+                    tool_result = str(e)
+
+                tool_result_files = []
+                if isinstance(tool_result, list):
+                    for item in tool_result:
+                        # check if string
+                        if isinstance(item, str) and item.startswith("data:"):
+                            tool_result_files.append(item)
+                            tool_result.remove(item)
+
+                if isinstance(tool_result, dict) or isinstance(tool_result, list):
+                    tool_result = json.dumps(tool_result, indent=2)
+
+                if isinstance(tool_result, str):
+                    tool = tools[tool_function_name]
+                    tool_id = tool.get("tool_id", "")
+                    if tool.get("metadata", {}).get("citation", False) or tool.get(
+                        "direct", False
+                    ):
 
-                if isinstance(tool_output, str):
-                    if tools[tool_function_name]["citation"]:
                         sources.append(
                             {
                                 "source": {
-                                    "name": f"TOOL:{tools[tool_function_name]['toolkit_id']}/{tool_function_name}"
+                                    "name": (
+                                        f"TOOL:" + f"{tool_id}/{tool_function_name}"
+                                        if tool_id
+                                        else f"{tool_function_name}"
+                                    ),
                                 },
-                                "document": [tool_output],
+                                "document": [tool_result, *tool_result_files],
                                 "metadata": [
                                     {
-                                        "source": f"TOOL:{tools[tool_function_name]['toolkit_id']}/{tool_function_name}"
+                                        "source": (
+                                            f"TOOL:" + f"{tool_id}/{tool_function_name}"
+                                            if tool_id
+                                            else f"{tool_function_name}"
+                                        )
                                     }
                                 ],
                             }
@@ -224,16 +264,24 @@ async def chat_completion_tools_handler(
                         sources.append(
                             {
                                 "source": {},
-                                "document": [tool_output],
+                                "document": [tool_result, *tool_result_files],
                                 "metadata": [
                                     {
-                                        "source": f"TOOL:{tools[tool_function_name]['toolkit_id']}/{tool_function_name}"
+                                        "source": (
+                                            f"TOOL:" + f"{tool_id}/{tool_function_name}"
+                                            if tool_id
+                                            else f"{tool_function_name}"
+                                        )
                                     }
                                 ],
                             }
                         )
 
-                    if tools[tool_function_name]["file_handler"]:
+                    if (
+                        tools[tool_function_name]
+                        .get("metadata", {})
+                        .get("file_handler", False)
+                    ):
                         skip_files = True
 
             # check if "tool_calls" in result
@@ -244,10 +292,10 @@ async def chat_completion_tools_handler(
                 await tool_call_handler(result)
 
         except Exception as e:
-            log.exception(f"Error: {e}")
+            log.debug(f"Error: {e}")
             content = None
     except Exception as e:
-        log.exception(f"Error: {e}")
+        log.debug(f"Error: {e}")
         content = None
 
     log.debug(f"tool_contexts: {sources}")
@@ -351,24 +399,44 @@ async def chat_web_search_handler(
                 all_results.append(results)
                 files = form_data.get("files", [])
 
-                if results.get("collection_name"):
-                    files.append(
-                        {
-                            "collection_name": results["collection_name"],
-                            "name": searchQuery,
-                            "type": "web_search",
-                            "urls": results["filenames"],
-                        }
-                    )
+                if results.get("collection_names"):
+                    for col_idx, collection_name in enumerate(
+                        results.get("collection_names")
+                    ):
+                        files.append(
+                            {
+                                "collection_name": collection_name,
+                                "name": searchQuery,
+                                "type": "web_search",
+                                "urls": [results["filenames"][col_idx]],
+                            }
+                        )
                 elif results.get("docs"):
-                    files.append(
-                        {
-                            "docs": results.get("docs", []),
-                            "name": searchQuery,
-                            "type": "web_search",
-                            "urls": results["filenames"],
-                        }
-                    )
+                    # Invoked when bypass embedding and retrieval is set to True
+                    docs = results["docs"]
+
+                    if len(docs) == len(results["filenames"]):
+                        # the number of docs and filenames (urls) should be the same
+                        for doc_idx, doc in enumerate(docs):
+                            files.append(
+                                {
+                                    "docs": [doc],
+                                    "name": searchQuery,
+                                    "type": "web_search",
+                                    "urls": [results["filenames"][doc_idx]],
+                                }
+                            )
+                    else:
+                        # edge case when the number of docs and filenames (urls) are not the same
+                        # this should not happen, but if it does, we will just append the docs
+                        files.append(
+                            {
+                                "docs": results.get("docs", []),
+                                "name": searchQuery,
+                                "type": "web_search",
+                                "urls": results["filenames"],
+                            }
+                        )
 
                 form_data["files"] = files
         except Exception as e:
@@ -561,11 +629,12 @@ async def chat_completion_files_handler(
                         request=request,
                         files=files,
                         queries=queries,
-                        embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
-                            query, user=user
+                        embedding_function=lambda query, prefix: request.app.state.EMBEDDING_FUNCTION(
+                            query, prefix=prefix, user=user
                         ),
                         k=request.app.state.config.TOP_K,
                         reranking_function=request.app.state.rf,
+                        k_reranker=request.app.state.config.TOP_K_RERANKER,
                         r=request.app.state.config.RELEVANCE_THRESHOLD,
                         hybrid_search=request.app.state.config.ENABLE_RAG_HYBRID_SEARCH,
                         full_context=request.app.state.config.RAG_FULL_CONTEXT,
@@ -590,31 +659,39 @@ def apply_params_to_form_data(form_data, model):
         if "keep_alive" in params:
             form_data["keep_alive"] = params["keep_alive"]
     else:
-        if "seed" in params:
+        if "seed" in params and params["seed"] is not None:
             form_data["seed"] = params["seed"]
 
-        if "stop" in params:
+        if "stop" in params and params["stop"] is not None:
             form_data["stop"] = params["stop"]
 
-        if "temperature" in params:
+        if "temperature" in params and params["temperature"] is not None:
             form_data["temperature"] = params["temperature"]
 
-        if "max_tokens" in params:
+        if "max_tokens" in params and params["max_tokens"] is not None:
             form_data["max_tokens"] = params["max_tokens"]
 
-        if "top_p" in params:
+        if "top_p" in params and params["top_p"] is not None:
             form_data["top_p"] = params["top_p"]
 
-        if "frequency_penalty" in params:
+        if "frequency_penalty" in params and params["frequency_penalty"] is not None:
             form_data["frequency_penalty"] = params["frequency_penalty"]
 
-        if "reasoning_effort" in params:
+        if "reasoning_effort" in params and params["reasoning_effort"] is not None:
             form_data["reasoning_effort"] = params["reasoning_effort"]
 
+        if "logit_bias" in params and params["logit_bias"] is not None:
+            try:
+                form_data["logit_bias"] = json.loads(
+                    convert_logit_bias_input_to_json(params["logit_bias"])
+                )
+            except Exception as e:
+                print(f"Error parsing logit_bias: {e}")
+
     return form_data
 
 
-async def process_chat_payload(request, form_data, metadata, user, model):
+async def process_chat_payload(request, form_data, user, metadata, model):
 
     form_data = apply_params_to_form_data(form_data, model)
     log.debug(f"form_data: {form_data}")
@@ -707,9 +784,14 @@ async def process_chat_payload(request, form_data, metadata, user, model):
         raise e
 
     try:
+        filter_functions = [
+            Functions.get_function_by_id(filter_id)
+            for filter_id in get_sorted_filter_ids(model)
+        ]
+
         form_data, flags = await process_filter_functions(
             request=request,
-            filter_ids=get_sorted_filter_ids(model),
+            filter_functions=filter_functions,
             filter_type="inlet",
             form_data=form_data,
             extra_params=extra_params,
@@ -753,12 +835,18 @@ async def process_chat_payload(request, form_data, metadata, user, model):
     }
     form_data["metadata"] = metadata
 
+    # Server side tools
     tool_ids = metadata.get("tool_ids", None)
+    # Client side tools
+    tool_servers = metadata.get("tool_servers", None)
+
     log.debug(f"{tool_ids=}")
+    log.debug(f"{tool_servers=}")
+
+    tools_dict = {}
 
     if tool_ids:
-        # If tool_ids field is present, then get the tools
-        tools = get_tools(
+        tools_dict = get_tools(
             request,
             tool_ids,
             user,
@@ -769,20 +857,31 @@ async def process_chat_payload(request, form_data, metadata, user, model):
                 "__files__": metadata.get("files", []),
             },
         )
-        log.info(f"{tools=}")
 
+    if tool_servers:
+        for tool_server in tool_servers:
+            tool_specs = tool_server.pop("specs", [])
+
+            for tool in tool_specs:
+                tools_dict[tool["name"]] = {
+                    "spec": tool,
+                    "direct": True,
+                    "server": tool_server,
+                }
+
+    if tools_dict:
         if metadata.get("function_calling") == "native":
             # If the function calling is native, then call the tools function calling handler
-            metadata["tools"] = tools
+            metadata["tools"] = tools_dict
             form_data["tools"] = [
                 {"type": "function", "function": tool.get("spec", {})}
-                for tool in tools.values()
+                for tool in tools_dict.values()
             ]
         else:
             # If the function calling is not native, then call the tools function calling handler
             try:
                 form_data, flags = await chat_completion_tools_handler(
-                    request, form_data, user, models, tools
+                    request, form_data, extra_params, user, models, tools_dict
                 )
                 sources.extend(flags.get("sources", []))
 
@@ -801,7 +900,9 @@ async def process_chat_payload(request, form_data, metadata, user, model):
         for source_idx, source in enumerate(sources):
             if "document" in source:
                 for doc_idx, doc_context in enumerate(source["document"]):
-                    context_string += f"<source><source_id>{source_idx}</source_id><source_context>{doc_context}</source_context></source>\n"
+                    context_string += (
+                        f'<source id="{source_idx + 1}">{doc_context}</source>\n'
+                    )
 
         context_string = context_string.strip()
         prompt = get_last_user_message(form_data["messages"])
@@ -856,7 +957,7 @@ async def process_chat_payload(request, form_data, metadata, user, model):
 
 
 async def process_chat_response(
-    request, response, form_data, user, events, metadata, tasks
+    request, response, form_data, user, metadata, model, events, tasks
 ):
     async def background_tasks_handler():
         message_map = Chats.get_messages_by_chat_id(metadata["chat_id"])
@@ -978,6 +1079,16 @@ async def process_chat_response(
     # Non-streaming response
     if not isinstance(response, StreamingResponse):
         if event_emitter:
+            if "error" in response:
+                error = response["error"].get("detail", response["error"])
+                Chats.upsert_message_to_chat_by_id_and_message_id(
+                    metadata["chat_id"],
+                    metadata["message_id"],
+                    {
+                        "error": {"content": error},
+                    },
+                )
+
             if "selected_model_id" in response:
                 Chats.upsert_message_to_chat_by_id_and_message_id(
                     metadata["chat_id"],
@@ -987,7 +1098,8 @@ async def process_chat_response(
                     },
                 )
 
-            if response.get("choices", [])[0].get("message", {}).get("content"):
+            choices = response.get("choices", [])
+            if choices and choices[0].get("message", {}).get("content"):
                 content = response["choices"][0]["message"]["content"]
 
                 if content:
@@ -1061,9 +1173,12 @@ async def process_chat_response(
         },
         "__metadata__": metadata,
         "__request__": request,
-        "__model__": metadata.get("model"),
+        "__model__": model,
     }
-    filter_ids = get_sorted_filter_ids(form_data.get("model"))
+    filter_functions = [
+        Functions.get_function_by_id(filter_id)
+        for filter_id in get_sorted_filter_ids(model)
+    ]
 
     # Streaming response
     if event_emitter and event_caller:
@@ -1103,36 +1218,53 @@ async def process_chat_response(
                     elif block["type"] == "tool_calls":
                         attributes = block.get("attributes", {})
 
-                        block_content = block.get("content", [])
+                        tool_calls = block.get("content", [])
                         results = block.get("results", [])
 
                         if results:
 
-                            result_display_content = ""
+                            tool_calls_display_content = ""
+                            for tool_call in tool_calls:
 
-                            for result in results:
-                                tool_call_id = result.get("tool_call_id", "")
-                                tool_name = ""
+                                tool_call_id = tool_call.get("id", "")
+                                tool_name = tool_call.get("function", {}).get(
+                                    "name", ""
+                                )
+                                tool_arguments = tool_call.get("function", {}).get(
+                                    "arguments", ""
+                                )
 
-                                for tool_call in block_content:
-                                    if tool_call.get("id", "") == tool_call_id:
-                                        tool_name = tool_call.get("function", {}).get(
-                                            "name", ""
-                                        )
+                                tool_result = None
+                                tool_result_files = None
+                                for result in results:
+                                    if tool_call_id == result.get("tool_call_id", ""):
+                                        tool_result = result.get("content", None)
+                                        tool_result_files = result.get("files", None)
                                         break
 
-                                result_display_content = f"{result_display_content}\n> {tool_name}: {result.get('content', '')}"
+                                if tool_result:
+                                    tool_calls_display_content = f'{tool_calls_display_content}\n<details type="tool_calls" done="true" id="{tool_call_id}" name="{tool_name}" arguments="{html.escape(json.dumps(tool_arguments))}" result="{html.escape(json.dumps(tool_result))}" files="{html.escape(json.dumps(tool_result_files)) if tool_result_files else ""}">\n<summary>Tool Executed</summary>\n</details>\n'
+                                else:
+                                    tool_calls_display_content = f'{tool_calls_display_content}\n<details type="tool_calls" done="false" id="{tool_call_id}" name="{tool_name}" arguments="{html.escape(json.dumps(tool_arguments))}">\n<summary>Executing...</summary>\n</details>'
 
                             if not raw:
-                                content = f'{content}\n<details type="tool_calls" done="true" content="{html.escape(json.dumps(block_content))}" results="{html.escape(json.dumps(results))}">\n<summary>Tool Executed</summary>\n{result_display_content}\n</details>\n'
+                                content = f"{content}\n{tool_calls_display_content}\n\n"
                         else:
                             tool_calls_display_content = ""
 
-                            for tool_call in block_content:
-                                tool_calls_display_content = f"{tool_calls_display_content}\n> Executing {tool_call.get('function', {}).get('name', '')}"
+                            for tool_call in tool_calls:
+                                tool_call_id = tool_call.get("id", "")
+                                tool_name = tool_call.get("function", {}).get(
+                                    "name", ""
+                                )
+                                tool_arguments = tool_call.get("function", {}).get(
+                                    "arguments", ""
+                                )
+
+                                tool_calls_display_content = f'{tool_calls_display_content}\n<details type="tool_calls" done="false" id="{tool_call_id}" name="{tool_name}" arguments="{html.escape(json.dumps(tool_arguments))}">\n<summary>Executing...</summary>\n</details>'
 
                             if not raw:
-                                content = f'{content}\n<details type="tool_calls" done="false" content="{html.escape(json.dumps(block_content))}">\n<summary>Tool Executing...</summary>\n{tool_calls_display_content}\n</details>\n'
+                                content = f"{content}\n{tool_calls_display_content}\n\n"
 
                     elif block["type"] == "reasoning":
                         reasoning_display_content = "\n".join(
@@ -1470,7 +1602,7 @@ async def process_chat_response(
 
                             data, _ = await process_filter_functions(
                                 request=request,
-                                filter_ids=filter_ids,
+                                filter_functions=filter_functions,
                                 filter_type="stream",
                                 form_data=data,
                                 extra_params=extra_params,
@@ -1489,6 +1621,16 @@ async def process_chat_response(
                                 else:
                                     choices = data.get("choices", [])
                                     if not choices:
+                                        error = data.get("error", {})
+                                        if error:
+                                            await event_emitter(
+                                                {
+                                                    "type": "chat:completion",
+                                                    "data": {
+                                                        "error": error,
+                                                    },
+                                                }
+                                            )
                                         usage = data.get("usage", {})
                                         if usage:
                                             await event_emitter(
@@ -1544,9 +1686,61 @@ async def process_chat_response(
 
                                     value = delta.get("content")
 
-                                    if value:
-                                        content = f"{content}{value}"
+                                    reasoning_content = delta.get(
+                                        "reasoning_content"
+                                    ) or delta.get("reasoning")
+                                    if reasoning_content:
+                                        if (
+                                            not content_blocks
+                                            or content_blocks[-1]["type"] != "reasoning"
+                                        ):
+                                            reasoning_block = {
+                                                "type": "reasoning",
+                                                "start_tag": "think",
+                                                "end_tag": "/think",
+                                                "attributes": {
+                                                    "type": "reasoning_content"
+                                                },
+                                                "content": "",
+                                                "started_at": time.time(),
+                                            }
+                                            content_blocks.append(reasoning_block)
+                                        else:
+                                            reasoning_block = content_blocks[-1]
 
+                                        reasoning_block["content"] += reasoning_content
+
+                                        data = {
+                                            "content": serialize_content_blocks(
+                                                content_blocks
+                                            )
+                                        }
+
+                                    if value:
+                                        if (
+                                            content_blocks
+                                            and content_blocks[-1]["type"]
+                                            == "reasoning"
+                                            and content_blocks[-1]
+                                            .get("attributes", {})
+                                            .get("type")
+                                            == "reasoning_content"
+                                        ):
+                                            reasoning_block = content_blocks[-1]
+                                            reasoning_block["ended_at"] = time.time()
+                                            reasoning_block["duration"] = int(
+                                                reasoning_block["ended_at"]
+                                                - reasoning_block["started_at"]
+                                            )
+
+                                            content_blocks.append(
+                                                {
+                                                    "type": "text",
+                                                    "content": "",
+                                                }
+                                            )
+
+                                        content = f"{content}{value}"
                                         if not content_blocks:
                                             content_blocks.append(
                                                 {
@@ -1650,7 +1844,7 @@ async def process_chat_response(
 
                 await stream_body_handler(response)
 
-                MAX_TOOL_CALL_RETRIES = 5
+                MAX_TOOL_CALL_RETRIES = 10
                 tool_call_retries = 0
 
                 while len(tool_calls) > 0 and tool_call_retries < MAX_TOOL_CALL_RETRIES:
@@ -1689,6 +1883,15 @@ async def process_chat_response(
                             )
                         except Exception as e:
                             log.debug(e)
+                            # Fallback to JSON parsing
+                            try:
+                                tool_function_params = json.loads(
+                                    tool_call.get("function", {}).get("arguments", "{}")
+                                )
+                            except Exception as e:
+                                log.debug(
+                                    f"Error parsing tool call arguments: {tool_call.get('function', {}).get('arguments', '{}')}"
+                                )
 
                         tool_result = None
 
@@ -1697,25 +1900,65 @@ async def process_chat_response(
                             spec = tool.get("spec", {})
 
                             try:
-                                required_params = spec.get("parameters", {}).get(
-                                    "required", []
+                                allowed_params = (
+                                    spec.get("parameters", {})
+                                    .get("properties", {})
+                                    .keys()
                                 )
-                                tool_function = tool["callable"]
+
                                 tool_function_params = {
                                     k: v
                                     for k, v in tool_function_params.items()
-                                    if k in required_params
+                                    if k in allowed_params
                                 }
-                                tool_result = await tool_function(
-                                    **tool_function_params
-                                )
+
+                                if tool.get("direct", False):
+                                    tool_result = await event_caller(
+                                        {
+                                            "type": "execute:tool",
+                                            "data": {
+                                                "id": str(uuid4()),
+                                                "name": tool_name,
+                                                "params": tool_function_params,
+                                                "server": tool.get("server", {}),
+                                                "session_id": metadata.get(
+                                                    "session_id", None
+                                                ),
+                                            },
+                                        }
+                                    )
+
+                                else:
+                                    tool_function = tool["callable"]
+                                    tool_result = await tool_function(
+                                        **tool_function_params
+                                    )
+
                             except Exception as e:
                                 tool_result = str(e)
 
+                        tool_result_files = []
+                        if isinstance(tool_result, list):
+                            for item in tool_result:
+                                # check if string
+                                if isinstance(item, str) and item.startswith("data:"):
+                                    tool_result_files.append(item)
+                                    tool_result.remove(item)
+
+                        if isinstance(tool_result, dict) or isinstance(
+                            tool_result, list
+                        ):
+                            tool_result = json.dumps(tool_result, indent=2)
+
                         results.append(
                             {
                                 "tool_call_id": tool_call_id,
                                 "content": tool_result,
+                                **(
+                                    {"files": tool_result_files}
+                                    if tool_result_files
+                                    else {}
+                                ),
                             }
                         )
 
@@ -1914,11 +2157,6 @@ async def process_chat_response(
                             }
                         )
 
-                        log.info(f"content_blocks={content_blocks}")
-                        log.info(
-                            f"serialize_content_blocks={serialize_content_blocks(content_blocks)}"
-                        )
-
                         try:
                             res = await generate_chat_completion(
                                 request,
@@ -2017,7 +2255,7 @@ async def process_chat_response(
             for event in events:
                 event, _ = await process_filter_functions(
                     request=request,
-                    filter_ids=filter_ids,
+                    filter_functions=filter_functions,
                     filter_type="stream",
                     form_data=event,
                     extra_params=extra_params,
@@ -2029,7 +2267,7 @@ async def process_chat_response(
             async for data in original_generator:
                 data, _ = await process_filter_functions(
                     request=request,
-                    filter_ids=filter_ids,
+                    filter_functions=filter_functions,
                     filter_type="stream",
                     form_data=data,
                     extra_params=extra_params,

backend/open_webui/utils/misc.py

@@ -6,6 +6,7 @@ import logging
 from datetime import timedelta
 from pathlib import Path
 from typing import Callable, Optional
+import json
 
 
 import collections.abc
@@ -450,3 +451,15 @@ def parse_ollama_modelfile(model_text):
         data["params"]["messages"] = messages
 
     return data
+
+
+def convert_logit_bias_input_to_json(user_input):
+    logit_bias_pairs = user_input.split(",")
+    logit_bias_json = {}
+    for pair in logit_bias_pairs:
+        token, bias = pair.split(":")
+        token = str(token.strip())
+        bias = int(bias.strip())
+        bias = 100 if bias > 100 else -100 if bias < -100 else bias
+        logit_bias_json[token] = bias
+    return json.dumps(logit_bias_json)

backend/open_webui/utils/models.py

@@ -49,6 +49,7 @@ async def get_all_base_models(request: Request, user: UserModel = None):
                 "created": int(time.time()),
                 "owned_by": "ollama",
                 "ollama": model,
+                "tags": model.get("tags", []),
             }
             for model in ollama_models["models"]
         ]

backend/open_webui/utils/oauth.py

@@ -94,7 +94,7 @@ class OAuthManager:
             oauth_claim = auth_manager_config.OAUTH_ROLES_CLAIM
             oauth_allowed_roles = auth_manager_config.OAUTH_ALLOWED_ROLES
             oauth_admin_roles = auth_manager_config.OAUTH_ADMIN_ROLES
-            oauth_roles = None
+            oauth_roles = []
             # Default/fallback role if no matching roles are found
             role = auth_manager_config.DEFAULT_USER_ROLE
 
@@ -104,7 +104,7 @@ class OAuthManager:
                 nested_claims = oauth_claim.split(".")
                 for nested_claim in nested_claims:
                     claim_data = claim_data.get(nested_claim, {})
-                oauth_roles = claim_data if isinstance(claim_data, list) else None
+                oauth_roles = claim_data if isinstance(claim_data, list) else []
 
             log.debug(f"Oauth Roles claim: {oauth_claim}")
             log.debug(f"User roles from oauth: {oauth_roles}")
@@ -140,6 +140,7 @@ class OAuthManager:
         log.debug("Running OAUTH Group management")
         oauth_claim = auth_manager_config.OAUTH_GROUPS_CLAIM
 
+        user_oauth_groups = []
         # Nested claim search for groups claim
         if oauth_claim:
             claim_data = user_data
@@ -160,7 +161,7 @@ class OAuthManager:
 
         # Remove groups that user is no longer a part of
         for group_model in user_current_groups:
-            if group_model.name not in user_oauth_groups:
+            if user_oauth_groups and group_model.name not in user_oauth_groups:
                 # Remove group from user
                 log.debug(
                     f"Removing user from group {group_model.name} as it is no longer in their oauth groups"
@@ -186,8 +187,10 @@ class OAuthManager:
 
         # Add user to new groups
         for group_model in all_available_groups:
-            if group_model.name in user_oauth_groups and not any(
-                gm.name == group_model.name for gm in user_current_groups
+            if (
+                user_oauth_groups
+                and group_model.name in user_oauth_groups
+                and not any(gm.name == group_model.name for gm in user_current_groups)
             ):
                 # Add user to group
                 log.debug(
@@ -234,7 +237,7 @@ class OAuthManager:
             log.warning(f"OAuth callback error: {e}")
             raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
         user_data: UserInfo = token.get("userinfo")
-        if not user_data or "email" not in user_data:
+        if not user_data or auth_manager_config.OAUTH_EMAIL_CLAIM not in user_data:
             user_data: UserInfo = await client.userinfo(token=token)
         if not user_data:
             log.warning(f"OAuth callback failed, user data is missing: {token}")
@@ -323,40 +326,45 @@ class OAuthManager:
                     raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN)
 
                 picture_claim = auth_manager_config.OAUTH_PICTURE_CLAIM
-                picture_url = user_data.get(
-                    picture_claim, OAUTH_PROVIDERS[provider].get("picture_url", "")
-                )
-                if picture_url:
-                    # Download the profile image into a base64 string
-                    try:
-                        access_token = token.get("access_token")
-                        get_kwargs = {}
-                        if access_token:
-                            get_kwargs["headers"] = {
-                                "Authorization": f"Bearer {access_token}",
-                            }
-                        async with aiohttp.ClientSession() as session:
-                            async with session.get(picture_url, **get_kwargs) as resp:
-                                if resp.ok:
-                                    picture = await resp.read()
-                                    base64_encoded_picture = base64.b64encode(
-                                        picture
-                                    ).decode("utf-8")
-                                    guessed_mime_type = mimetypes.guess_type(
-                                        picture_url
-                                    )[0]
-                                    if guessed_mime_type is None:
-                                        # assume JPG, browsers are tolerant enough of image formats
-                                        guessed_mime_type = "image/jpeg"
-                                    picture_url = f"data:{guessed_mime_type};base64,{base64_encoded_picture}"
-                                else:
-                                    picture_url = "/user.png"
-                    except Exception as e:
-                        log.error(
-                            f"Error downloading profile image '{picture_url}': {e}"
-                        )
+                if picture_claim:
+                    picture_url = user_data.get(
+                        picture_claim, OAUTH_PROVIDERS[provider].get("picture_url", "")
+                    )
+                    if picture_url:
+                        # Download the profile image into a base64 string
+                        try:
+                            access_token = token.get("access_token")
+                            get_kwargs = {}
+                            if access_token:
+                                get_kwargs["headers"] = {
+                                    "Authorization": f"Bearer {access_token}",
+                                }
+                            async with aiohttp.ClientSession() as session:
+                                async with session.get(
+                                    picture_url, **get_kwargs
+                                ) as resp:
+                                    if resp.ok:
+                                        picture = await resp.read()
+                                        base64_encoded_picture = base64.b64encode(
+                                            picture
+                                        ).decode("utf-8")
+                                        guessed_mime_type = mimetypes.guess_type(
+                                            picture_url
+                                        )[0]
+                                        if guessed_mime_type is None:
+                                            # assume JPG, browsers are tolerant enough of image formats
+                                            guessed_mime_type = "image/jpeg"
+                                        picture_url = f"data:{guessed_mime_type};base64,{base64_encoded_picture}"
+                                    else:
+                                        picture_url = "/user.png"
+                        except Exception as e:
+                            log.error(
+                                f"Error downloading profile image '{picture_url}': {e}"
+                            )
+                            picture_url = "/user.png"
+                    if not picture_url:
                         picture_url = "/user.png"
-                if not picture_url:
+                else:
                     picture_url = "/user.png"
 
                 username_claim = auth_manager_config.OAUTH_USERNAME_CLAIM

backend/open_webui/utils/payload.py

@@ -62,6 +62,8 @@ def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
         "reasoning_effort": str,
         "seed": lambda x: x,
         "stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
+        "logit_bias": lambda x: x,
+        "response_format": dict,
     }
     return apply_model_params_to_body(params, form_data, mappings)
 
@@ -109,6 +111,15 @@ def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict:
         "num_thread": int,
     }
 
+    # Extract keep_alive from options if it exists
+    if "options" in form_data and "keep_alive" in form_data["options"]:
+        form_data["keep_alive"] = form_data["options"]["keep_alive"]
+        del form_data["options"]["keep_alive"]
+
+    if "options" in form_data and "format" in form_data["options"]:
+        form_data["format"] = form_data["options"]["format"]
+        del form_data["options"]["format"]
+
     return apply_model_params_to_body(params, form_data, mappings)
 
 
@@ -230,6 +241,11 @@ def convert_payload_openai_to_ollama(openai_payload: dict) -> dict:
                 "system"
             ]  # To prevent Ollama warning of invalid option provided
 
+        # Extract keep_alive from options if it exists
+        if "keep_alive" in ollama_options:
+            ollama_payload["keep_alive"] = ollama_options["keep_alive"]
+            del ollama_options["keep_alive"]
+
     # If there is the "stop" parameter in the openai_payload, remap it to the ollama_payload.options
     if "stop" in openai_payload:
         ollama_options = ollama_payload.get("options", {})
@@ -239,4 +255,13 @@ def convert_payload_openai_to_ollama(openai_payload: dict) -> dict:
     if "metadata" in openai_payload:
         ollama_payload["metadata"] = openai_payload["metadata"]
 
+    if "response_format" in openai_payload:
+        response_format = openai_payload["response_format"]
+        format_type = response_format.get("type", None)
+
+        schema = response_format.get(format_type, None)
+        if schema:
+            format = schema.get("schema", None)
+            ollama_payload["format"] = format
+
     return ollama_payload

backend/open_webui/utils/pdf_generator.py

@@ -110,7 +110,7 @@ class PDFGenerator:
             # When running using `pip install -e .` the static directory is in the site packages.
             # This path only works if `open-webui serve` is run from the root of this project.
             if not FONTS_DIR.exists():
-                FONTS_DIR = Path("./backend/static/fonts")
+                FONTS_DIR = Path(".") / "backend" / "static" / "fonts"
 
             pdf.add_font("NotoSans", "", f"{FONTS_DIR}/NotoSans-Regular.ttf")
             pdf.add_font("NotoSans", "b", f"{FONTS_DIR}/NotoSans-Bold.ttf")

backend/open_webui/utils/plugin.py

@@ -7,7 +7,7 @@ import types
 import tempfile
 import logging
 
-from open_webui.env import SRC_LOG_LEVELS
+from open_webui.env import SRC_LOG_LEVELS, PIP_OPTIONS, PIP_PACKAGE_INDEX_OPTIONS
 from open_webui.models.functions import Functions
 from open_webui.models.tools import Tools
 
@@ -68,23 +68,23 @@ def replace_imports(content):
     return content
 
 
-def load_tools_module_by_id(toolkit_id, content=None):
+def load_tools_module_by_id(tool_id, content=None):
 
     if content is None:
-        tool = Tools.get_tool_by_id(toolkit_id)
+        tool = Tools.get_tool_by_id(tool_id)
         if not tool:
-            raise Exception(f"Toolkit not found: {toolkit_id}")
+            raise Exception(f"Toolkit not found: {tool_id}")
 
         content = tool.content
 
         content = replace_imports(content)
-        Tools.update_tool_by_id(toolkit_id, {"content": content})
+        Tools.update_tool_by_id(tool_id, {"content": content})
     else:
         frontmatter = extract_frontmatter(content)
         # Install required packages found within the frontmatter
         install_frontmatter_requirements(frontmatter.get("requirements", ""))
 
-    module_name = f"tool_{toolkit_id}"
+    module_name = f"tool_{tool_id}"
     module = types.ModuleType(module_name)
     sys.modules[module_name] = module
 
@@ -108,7 +108,7 @@ def load_tools_module_by_id(toolkit_id, content=None):
         else:
             raise Exception("No Tools class found in the module")
     except Exception as e:
-        log.error(f"Error loading module: {toolkit_id}: {e}")
+        log.error(f"Error loading module: {tool_id}: {e}")
         del sys.modules[module_name]  # Clean up
         raise e
     finally:
@@ -165,15 +165,19 @@ def load_function_module_by_id(function_id, content=None):
         os.unlink(temp_file.name)
 
 
-def install_frontmatter_requirements(requirements):
+def install_frontmatter_requirements(requirements: str):
     if requirements:
         try:
             req_list = [req.strip() for req in requirements.split(",")]
-            for req in req_list:
-                log.info(f"Installing requirement: {req}")
-                subprocess.check_call([sys.executable, "-m", "pip", "install", req])
+            log.info(f"Installing requirements: {' '.join(req_list)}")
+            subprocess.check_call(
+                [sys.executable, "-m", "pip", "install"]
+                + PIP_OPTIONS
+                + req_list
+                + PIP_PACKAGE_INDEX_OPTIONS
+            )
         except Exception as e:
-            log.error(f"Error installing package: {req}")
+            log.error(f"Error installing packages: {' '.join(req_list)}")
             raise e
 
     else:

backend/open_webui/utils/redis.py

@@ -0,0 +1,109 @@
+import socketio
+import redis
+from redis import asyncio as aioredis
+from urllib.parse import urlparse
+
+
+def parse_redis_sentinel_url(redis_url):
+    parsed_url = urlparse(redis_url)
+    if parsed_url.scheme != "redis":
+        raise ValueError("Invalid Redis URL scheme. Must be 'redis'.")
+
+    return {
+        "username": parsed_url.username or None,
+        "password": parsed_url.password or None,
+        "service": parsed_url.hostname or "mymaster",
+        "port": parsed_url.port or 6379,
+        "db": int(parsed_url.path.lstrip("/") or 0),
+    }
+
+
+def get_redis_connection(redis_url, redis_sentinels, decode_responses=True):
+    if redis_sentinels:
+        redis_config = parse_redis_sentinel_url(redis_url)
+        sentinel = redis.sentinel.Sentinel(
+            redis_sentinels,
+            port=redis_config["port"],
+            db=redis_config["db"],
+            username=redis_config["username"],
+            password=redis_config["password"],
+            decode_responses=decode_responses,
+        )
+
+        # Get a master connection from Sentinel
+        return sentinel.master_for(redis_config["service"])
+    else:
+        # Standard Redis connection
+        return redis.Redis.from_url(redis_url, decode_responses=decode_responses)
+
+
+def get_sentinels_from_env(sentinel_hosts_env, sentinel_port_env):
+    if sentinel_hosts_env:
+        sentinel_hosts = sentinel_hosts_env.split(",")
+        sentinel_port = int(sentinel_port_env)
+        return [(host, sentinel_port) for host in sentinel_hosts]
+    return []
+
+
+class AsyncRedisSentinelManager(socketio.AsyncRedisManager):
+    def __init__(
+        self,
+        sentinel_hosts,
+        sentinel_port=26379,
+        redis_port=6379,
+        service="mymaster",
+        db=0,
+        username=None,
+        password=None,
+        channel="socketio",
+        write_only=False,
+        logger=None,
+        redis_options=None,
+    ):
+        """
+        Initialize the Redis Sentinel Manager.
+        This implementation mostly replicates the __init__ of AsyncRedisManager and
+        overrides _redis_connect() with a version that uses Redis Sentinel
+
+        :param sentinel_hosts: List of Sentinel hosts
+        :param sentinel_port: Sentinel Port
+        :param redis_port: Redis Port (currently unsupported by aioredis!)
+        :param service: Master service name in Sentinel
+        :param db: Redis database to use
+        :param username: Redis username (if any) (currently unsupported by aioredis!)
+        :param password: Redis password (if any)
+        :param channel: The channel name on which the server sends and receives
+                        notifications. Must be the same in all the servers.
+        :param write_only: If set to ``True``, only initialize to emit events. The
+                           default of ``False`` initializes the class for emitting
+                           and receiving.
+        :param redis_options: additional keyword arguments to be passed to
+                              ``aioredis.from_url()``.
+        """
+        self._sentinels = [(host, sentinel_port) for host in sentinel_hosts]
+        self._redis_port = redis_port
+        self._service = service
+        self._db = db
+        self._username = username
+        self._password = password
+        self._channel = channel
+        self.redis_options = redis_options or {}
+
+        # connect and call grandparent constructor
+        self._redis_connect()
+        super(socketio.AsyncRedisManager, self).__init__(
+            channel=channel, write_only=write_only, logger=logger
+        )
+
+    def _redis_connect(self):
+        """Establish connections to Redis through Sentinel."""
+        sentinel = aioredis.sentinel.Sentinel(
+            self._sentinels,
+            port=self._redis_port,
+            db=self._db,
+            password=self._password,
+            **self.redis_options,
+        )
+
+        self.redis = sentinel.master_for(self._service)
+        self.pubsub = self.redis.pubsub(ignore_subscribe_messages=True)

backend/open_webui/utils/task.py

@@ -104,7 +104,7 @@ def replace_prompt_variable(template: str, prompt: str) -> str:
 
 
 def replace_messages_variable(
-    template: str, messages: Optional[list[str]] = None
+    template: str, messages: Optional[list[dict]] = None
 ) -> str:
     def replacement_function(match):
         full_match = match.group(0)

backend/open_webui/utils/telemetry/constants.py

@@ -0,0 +1,26 @@
+from opentelemetry.semconv.trace import SpanAttributes as _SpanAttributes
+
+# Span Tags
+SPAN_DB_TYPE = "mysql"
+SPAN_REDIS_TYPE = "redis"
+SPAN_DURATION = "duration"
+SPAN_SQL_STR = "sql"
+SPAN_SQL_EXPLAIN = "explain"
+SPAN_ERROR_TYPE = "error"
+
+
+class SpanAttributes(_SpanAttributes):
+    """
+    Span Attributes
+    """
+
+    DB_INSTANCE = "db.instance"
+    DB_TYPE = "db.type"
+    DB_IP = "db.ip"
+    DB_PORT = "db.port"
+    ERROR_KIND = "error.kind"
+    ERROR_OBJECT = "error.object"
+    ERROR_MESSAGE = "error.message"
+    RESULT_CODE = "result.code"
+    RESULT_MESSAGE = "result.message"
+    RESULT_ERRORS = "result.errors"

backend/open_webui/utils/telemetry/exporters.py

@@ -0,0 +1,31 @@
+import threading
+
+from opentelemetry.sdk.trace import ReadableSpan
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+
+
+class LazyBatchSpanProcessor(BatchSpanProcessor):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.done = True
+        with self.condition:
+            self.condition.notify_all()
+        self.worker_thread.join()
+        self.done = False
+        self.worker_thread = None
+
+    def on_end(self, span: ReadableSpan) -> None:
+        if self.worker_thread is None:
+            self.worker_thread = threading.Thread(
+                name=self.__class__.__name__, target=self.worker, daemon=True
+            )
+            self.worker_thread.start()
+        super().on_end(span)
+
+    def shutdown(self) -> None:
+        self.done = True
+        with self.condition:
+            self.condition.notify_all()
+        if self.worker_thread:
+            self.worker_thread.join()
+        self.span_exporter.shutdown()

backend/open_webui/utils/telemetry/instrumentors.py

@@ -0,0 +1,202 @@
+import logging
+import traceback
+from typing import Collection, Union
+
+from aiohttp import (
+    TraceRequestStartParams,
+    TraceRequestEndParams,
+    TraceRequestExceptionParams,
+)
+from chromadb.telemetry.opentelemetry.fastapi import instrument_fastapi
+from fastapi import FastAPI
+from opentelemetry.instrumentation.httpx import (
+    HTTPXClientInstrumentor,
+    RequestInfo,
+    ResponseInfo,
+)
+from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
+from opentelemetry.instrumentation.logging import LoggingInstrumentor
+from opentelemetry.instrumentation.redis import RedisInstrumentor
+from opentelemetry.instrumentation.requests import RequestsInstrumentor
+from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor
+from opentelemetry.instrumentation.aiohttp_client import AioHttpClientInstrumentor
+from opentelemetry.trace import Span, StatusCode
+from redis import Redis
+from requests import PreparedRequest, Response
+from sqlalchemy import Engine
+from fastapi import status
+
+from open_webui.utils.telemetry.constants import SPAN_REDIS_TYPE, SpanAttributes
+
+from open_webui.env import SRC_LOG_LEVELS
+
+logger = logging.getLogger(__name__)
+logger.setLevel(SRC_LOG_LEVELS["MAIN"])
+
+
+def requests_hook(span: Span, request: PreparedRequest):
+    """
+    Http Request Hook
+    """
+
+    span.update_name(f"{request.method} {request.url}")
+    span.set_attributes(
+        attributes={
+            SpanAttributes.HTTP_URL: request.url,
+            SpanAttributes.HTTP_METHOD: request.method,
+        }
+    )
+
+
+def response_hook(span: Span, request: PreparedRequest, response: Response):
+    """
+    HTTP Response Hook
+    """
+
+    span.set_attributes(
+        attributes={
+            SpanAttributes.HTTP_STATUS_CODE: response.status_code,
+        }
+    )
+    span.set_status(StatusCode.ERROR if response.status_code >= 400 else StatusCode.OK)
+
+
+def redis_request_hook(span: Span, instance: Redis, args, kwargs):
+    """
+    Redis Request Hook
+    """
+
+    try:
+        connection_kwargs: dict = instance.connection_pool.connection_kwargs
+        host = connection_kwargs.get("host")
+        port = connection_kwargs.get("port")
+        db = connection_kwargs.get("db")
+        span.set_attributes(
+            {
+                SpanAttributes.DB_INSTANCE: f"{host}/{db}",
+                SpanAttributes.DB_NAME: f"{host}/{db}",
+                SpanAttributes.DB_TYPE: SPAN_REDIS_TYPE,
+                SpanAttributes.DB_PORT: port,
+                SpanAttributes.DB_IP: host,
+                SpanAttributes.DB_STATEMENT: " ".join([str(i) for i in args]),
+                SpanAttributes.DB_OPERATION: str(args[0]),
+            }
+        )
+    except Exception:  # pylint: disable=W0718
+        logger.error(traceback.format_exc())
+
+
+def httpx_request_hook(span: Span, request: RequestInfo):
+    """
+    HTTPX Request Hook
+    """
+
+    span.update_name(f"{request.method.decode()} {str(request.url)}")
+    span.set_attributes(
+        attributes={
+            SpanAttributes.HTTP_URL: str(request.url),
+            SpanAttributes.HTTP_METHOD: request.method.decode(),
+        }
+    )
+
+
+def httpx_response_hook(span: Span, request: RequestInfo, response: ResponseInfo):
+    """
+    HTTPX Response Hook
+    """
+
+    span.set_attribute(SpanAttributes.HTTP_STATUS_CODE, response.status_code)
+    span.set_status(
+        StatusCode.ERROR
+        if response.status_code >= status.HTTP_400_BAD_REQUEST
+        else StatusCode.OK
+    )
+
+
+async def httpx_async_request_hook(span: Span, request: RequestInfo):
+    """
+    Async Request Hook
+    """
+
+    httpx_request_hook(span, request)
+
+
+async def httpx_async_response_hook(
+    span: Span, request: RequestInfo, response: ResponseInfo
+):
+    """
+    Async Response Hook
+    """
+
+    httpx_response_hook(span, request, response)
+
+
+def aiohttp_request_hook(span: Span, request: TraceRequestStartParams):
+    """
+    Aiohttp Request Hook
+    """
+
+    span.update_name(f"{request.method} {str(request.url)}")
+    span.set_attributes(
+        attributes={
+            SpanAttributes.HTTP_URL: str(request.url),
+            SpanAttributes.HTTP_METHOD: request.method,
+        }
+    )
+
+
+def aiohttp_response_hook(
+    span: Span, response: Union[TraceRequestExceptionParams, TraceRequestEndParams]
+):
+    """
+    Aiohttp Response Hook
+    """
+
+    if isinstance(response, TraceRequestEndParams):
+        span.set_attribute(SpanAttributes.HTTP_STATUS_CODE, response.response.status)
+        span.set_status(
+            StatusCode.ERROR
+            if response.response.status >= status.HTTP_400_BAD_REQUEST
+            else StatusCode.OK
+        )
+    elif isinstance(response, TraceRequestExceptionParams):
+        span.set_status(StatusCode.ERROR)
+        span.set_attribute(SpanAttributes.ERROR_MESSAGE, str(response.exception))
+
+
+class Instrumentor(BaseInstrumentor):
+    """
+    Instrument OT
+    """
+
+    def __init__(self, app: FastAPI, db_engine: Engine):
+        self.app = app
+        self.db_engine = db_engine
+
+    def instrumentation_dependencies(self) -> Collection[str]:
+        return []
+
+    def _instrument(self, **kwargs):
+        instrument_fastapi(app=self.app)
+        SQLAlchemyInstrumentor().instrument(engine=self.db_engine)
+        RedisInstrumentor().instrument(request_hook=redis_request_hook)
+        RequestsInstrumentor().instrument(
+            request_hook=requests_hook, response_hook=response_hook
+        )
+        LoggingInstrumentor().instrument()
+        HTTPXClientInstrumentor().instrument(
+            request_hook=httpx_request_hook,
+            response_hook=httpx_response_hook,
+            async_request_hook=httpx_async_request_hook,
+            async_response_hook=httpx_async_response_hook,
+        )
+        AioHttpClientInstrumentor().instrument(
+            request_hook=aiohttp_request_hook,
+            response_hook=aiohttp_response_hook,
+        )
+
+    def _uninstrument(self, **kwargs):
+        if getattr(self, "instrumentors", None) is None:
+            return
+        for instrumentor in self.instrumentors:
+            instrumentor.uninstrument()

backend/open_webui/utils/telemetry/setup.py

@@ -0,0 +1,23 @@
+from fastapi import FastAPI
+from opentelemetry import trace
+from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
+from opentelemetry.sdk.resources import SERVICE_NAME, Resource
+from opentelemetry.sdk.trace import TracerProvider
+from sqlalchemy import Engine
+
+from open_webui.utils.telemetry.exporters import LazyBatchSpanProcessor
+from open_webui.utils.telemetry.instrumentors import Instrumentor
+from open_webui.env import OTEL_SERVICE_NAME, OTEL_EXPORTER_OTLP_ENDPOINT
+
+
+def setup(app: FastAPI, db_engine: Engine):
+    # set up trace
+    trace.set_tracer_provider(
+        TracerProvider(
+            resource=Resource.create(attributes={SERVICE_NAME: OTEL_SERVICE_NAME})
+        )
+    )
+    # otlp export
+    exporter = OTLPSpanExporter(endpoint=OTEL_EXPORTER_OTLP_ENDPOINT)
+    trace.get_tracer_provider().add_span_processor(LazyBatchSpanProcessor(exporter))
+    Instrumentor(app=app, db_engine=db_engine).instrument()

backend/open_webui/utils/tools.py

@@ -1,7 +1,11 @@
 import inspect
 import logging
 import re
-from typing import Any, Awaitable, Callable, get_type_hints
+import inspect
+import aiohttp
+import asyncio
+
+from typing import Any, Awaitable, Callable, get_type_hints, Dict, List, Union, Optional
 from functools import update_wrapper, partial
 
 
@@ -14,95 +18,162 @@ from open_webui.models.tools import Tools
 from open_webui.models.users import UserModel
 from open_webui.utils.plugin import load_tools_module_by_id
 
+import copy
+
 log = logging.getLogger(__name__)
 
 
-def apply_extra_params_to_tool_function(
+def get_async_tool_function_and_apply_extra_params(
     function: Callable, extra_params: dict
 ) -> Callable[..., Awaitable]:
     sig = inspect.signature(function)
     extra_params = {k: v for k, v in extra_params.items() if k in sig.parameters}
     partial_func = partial(function, **extra_params)
+
     if inspect.iscoroutinefunction(function):
         update_wrapper(partial_func, function)
         return partial_func
+    else:
+        # Make it a coroutine function
+        async def new_function(*args, **kwargs):
+            return partial_func(*args, **kwargs)
 
-    async def new_function(*args, **kwargs):
-        return partial_func(*args, **kwargs)
-
-    update_wrapper(new_function, function)
-    return new_function
+        update_wrapper(new_function, function)
+        return new_function
 
 
-# Mutation on extra_params
 def get_tools(
     request: Request, tool_ids: list[str], user: UserModel, extra_params: dict
 ) -> dict[str, dict]:
     tools_dict = {}
 
     for tool_id in tool_ids:
-        tools = Tools.get_tool_by_id(tool_id)
-        if tools is None:
-            continue
+        tool = Tools.get_tool_by_id(tool_id)
+        if tool is None:
+            if tool_id.startswith("server:"):
+                server_idx = int(tool_id.split(":")[1])
+                tool_server_connection = (
+                    request.app.state.config.TOOL_SERVER_CONNECTIONS[server_idx]
+                )
+                tool_server_data = request.app.state.TOOL_SERVERS[server_idx]
+                specs = tool_server_data.get("specs", [])
 
-        module = request.app.state.TOOLS.get(tool_id, None)
-        if module is None:
-            module, _ = load_tools_module_by_id(tool_id)
-            request.app.state.TOOLS[tool_id] = module
+                for spec in specs:
+                    function_name = spec["name"]
 
-        extra_params["__id__"] = tool_id
-        if hasattr(module, "valves") and hasattr(module, "Valves"):
-            valves = Tools.get_tool_valves_by_id(tool_id) or {}
-            module.valves = module.Valves(**valves)
+                    auth_type = tool_server_connection.get("auth_type", "bearer")
+                    token = None
 
-        if hasattr(module, "UserValves"):
-            extra_params["__user__"]["valves"] = module.UserValves(  # type: ignore
-                **Tools.get_user_valves_by_id_and_user_id(tool_id, user.id)
-            )
+                    if auth_type == "bearer":
+                        token = tool_server_connection.get("key", "")
+                    elif auth_type == "session":
+                        token = request.state.token.credentials
 
-        for spec in tools.specs:
-            # TODO: Fix hack for OpenAI API
-            # Some times breaks OpenAI but others don't. Leaving the comment
-            for val in spec.get("parameters", {}).get("properties", {}).values():
-                if val["type"] == "str":
-                    val["type"] = "string"
+                    def make_tool_function(function_name, token, tool_server_data):
+                        async def tool_function(**kwargs):
+                            print(
+                                f"Executing tool function {function_name} with params: {kwargs}"
+                            )
+                            return await execute_tool_server(
+                                token=token,
+                                url=tool_server_data["url"],
+                                name=function_name,
+                                params=kwargs,
+                                server_data=tool_server_data,
+                            )
 
-            # Remove internal parameters
-            spec["parameters"]["properties"] = {
-                key: val
-                for key, val in spec["parameters"]["properties"].items()
-                if not key.startswith("__")
-            }
+                        return tool_function
 
-            function_name = spec["name"]
+                    tool_function = make_tool_function(
+                        function_name, token, tool_server_data
+                    )
 
-            # convert to function that takes only model params and inserts custom params
-            original_func = getattr(module, function_name)
-            callable = apply_extra_params_to_tool_function(original_func, extra_params)
+                    callable = get_async_tool_function_and_apply_extra_params(
+                        tool_function,
+                        {},
+                    )
 
-            if callable.__doc__ and callable.__doc__.strip() != "":
-                s = re.split(":(param|return)", callable.__doc__, 1)
-                spec["description"] = s[0]
+                    tool_dict = {
+                        "tool_id": tool_id,
+                        "callable": callable,
+                        "spec": spec,
+                    }
+
+                    # TODO: if collision, prepend toolkit name
+                    if function_name in tools_dict:
+                        log.warning(
+                            f"Tool {function_name} already exists in another tools!"
+                        )
+                        log.warning(f"Discarding {tool_id}.{function_name}")
+                    else:
+                        tools_dict[function_name] = tool_dict
             else:
-                spec["description"] = function_name
+                continue
+        else:
+            module = request.app.state.TOOLS.get(tool_id, None)
+            if module is None:
+                module, _ = load_tools_module_by_id(tool_id)
+                request.app.state.TOOLS[tool_id] = module
 
-            # TODO: This needs to be a pydantic model
-            tool_dict = {
-                "toolkit_id": tool_id,
-                "callable": callable,
-                "spec": spec,
-                "pydantic_model": function_to_pydantic_model(callable),
-                "file_handler": hasattr(module, "file_handler") and module.file_handler,
-                "citation": hasattr(module, "citation") and module.citation,
-            }
+            extra_params["__id__"] = tool_id
 
-            # TODO: if collision, prepend toolkit name
-            if function_name in tools_dict:
-                log.warning(f"Tool {function_name} already exists in another tools!")
-                log.warning(f"Collision between {tools} and {tool_id}.")
-                log.warning(f"Discarding {tools}.{function_name}")
-            else:
-                tools_dict[function_name] = tool_dict
+            # Set valves for the tool
+            if hasattr(module, "valves") and hasattr(module, "Valves"):
+                valves = Tools.get_tool_valves_by_id(tool_id) or {}
+                module.valves = module.Valves(**valves)
+            if hasattr(module, "UserValves"):
+                extra_params["__user__"]["valves"] = module.UserValves(  # type: ignore
+                    **Tools.get_user_valves_by_id_and_user_id(tool_id, user.id)
+                )
+
+            for spec in tool.specs:
+                # TODO: Fix hack for OpenAI API
+                # Some times breaks OpenAI but others don't. Leaving the comment
+                for val in spec.get("parameters", {}).get("properties", {}).values():
+                    if val["type"] == "str":
+                        val["type"] = "string"
+
+                # Remove internal reserved parameters (e.g. __id__, __user__)
+                spec["parameters"]["properties"] = {
+                    key: val
+                    for key, val in spec["parameters"]["properties"].items()
+                    if not key.startswith("__")
+                }
+
+                # convert to function that takes only model params and inserts custom params
+                function_name = spec["name"]
+                tool_function = getattr(module, function_name)
+                callable = get_async_tool_function_and_apply_extra_params(
+                    tool_function, extra_params
+                )
+
+                # TODO: Support Pydantic models as parameters
+                if callable.__doc__ and callable.__doc__.strip() != "":
+                    s = re.split(":(param|return)", callable.__doc__, 1)
+                    spec["description"] = s[0]
+                else:
+                    spec["description"] = function_name
+
+                tool_dict = {
+                    "tool_id": tool_id,
+                    "callable": callable,
+                    "spec": spec,
+                    # Misc info
+                    "metadata": {
+                        "file_handler": hasattr(module, "file_handler")
+                        and module.file_handler,
+                        "citation": hasattr(module, "citation") and module.citation,
+                    },
+                }
+
+                # TODO: if collision, prepend toolkit name
+                if function_name in tools_dict:
+                    log.warning(
+                        f"Tool {function_name} already exists in another tools!"
+                    )
+                    log.warning(f"Discarding {tool_id}.{function_name}")
+                else:
+                    tools_dict[function_name] = tool_dict
 
     return tools_dict
 
@@ -210,6 +281,273 @@ def get_callable_attributes(tool: object) -> list[Callable]:
 
 
 def get_tools_specs(tool_class: object) -> list[dict]:
-    function_list = get_callable_attributes(tool_class)
-    models = map(function_to_pydantic_model, function_list)
-    return [convert_to_openai_function(tool) for tool in models]
+    function_model_list = map(
+        function_to_pydantic_model, get_callable_attributes(tool_class)
+    )
+    return [
+        convert_to_openai_function(function_model)
+        for function_model in function_model_list
+    ]
+
+
+def resolve_schema(schema, components):
+    """
+    Recursively resolves a JSON schema using OpenAPI components.
+    """
+    if not schema:
+        return {}
+
+    if "$ref" in schema:
+        ref_path = schema["$ref"]
+        ref_parts = ref_path.strip("#/").split("/")
+        resolved = components
+        for part in ref_parts[1:]:  # Skip the initial 'components'
+            resolved = resolved.get(part, {})
+        return resolve_schema(resolved, components)
+
+    resolved_schema = copy.deepcopy(schema)
+
+    # Recursively resolve inner schemas
+    if "properties" in resolved_schema:
+        for prop, prop_schema in resolved_schema["properties"].items():
+            resolved_schema["properties"][prop] = resolve_schema(
+                prop_schema, components
+            )
+
+    if "items" in resolved_schema:
+        resolved_schema["items"] = resolve_schema(resolved_schema["items"], components)
+
+    return resolved_schema
+
+
+def convert_openapi_to_tool_payload(openapi_spec):
+    """
+    Converts an OpenAPI specification into a custom tool payload structure.
+
+    Args:
+        openapi_spec (dict): The OpenAPI specification as a Python dict.
+
+    Returns:
+        list: A list of tool payloads.
+    """
+    tool_payload = []
+
+    for path, methods in openapi_spec.get("paths", {}).items():
+        for method, operation in methods.items():
+            tool = {
+                "type": "function",
+                "name": operation.get("operationId"),
+                "description": operation.get(
+                    "description", operation.get("summary", "No description available.")
+                ),
+                "parameters": {"type": "object", "properties": {}, "required": []},
+            }
+
+            # Extract path and query parameters
+            for param in operation.get("parameters", []):
+                param_name = param["name"]
+                param_schema = param.get("schema", {})
+                tool["parameters"]["properties"][param_name] = {
+                    "type": param_schema.get("type"),
+                    "description": param_schema.get("description", ""),
+                }
+                if param.get("required"):
+                    tool["parameters"]["required"].append(param_name)
+
+            # Extract and resolve requestBody if available
+            request_body = operation.get("requestBody")
+            if request_body:
+                content = request_body.get("content", {})
+                json_schema = content.get("application/json", {}).get("schema")
+                if json_schema:
+                    resolved_schema = resolve_schema(
+                        json_schema, openapi_spec.get("components", {})
+                    )
+
+                    if resolved_schema.get("properties"):
+                        tool["parameters"]["properties"].update(
+                            resolved_schema["properties"]
+                        )
+                        if "required" in resolved_schema:
+                            tool["parameters"]["required"] = list(
+                                set(
+                                    tool["parameters"]["required"]
+                                    + resolved_schema["required"]
+                                )
+                            )
+                    elif resolved_schema.get("type") == "array":
+                        tool["parameters"] = resolved_schema  # special case for array
+
+            tool_payload.append(tool)
+
+    return tool_payload
+
+
+async def get_tool_server_data(token: str, url: str) -> Dict[str, Any]:
+    headers = {
+        "Accept": "application/json",
+        "Content-Type": "application/json",
+    }
+    if token:
+        headers["Authorization"] = f"Bearer {token}"
+
+    error = None
+    try:
+        async with aiohttp.ClientSession() as session:
+            async with session.get(url, headers=headers) as response:
+                if response.status != 200:
+                    error_body = await response.json()
+                    raise Exception(error_body)
+                res = await response.json()
+    except Exception as err:
+        print("Error:", err)
+        if isinstance(err, dict) and "detail" in err:
+            error = err["detail"]
+        else:
+            error = str(err)
+        raise Exception(error)
+
+    data = {
+        "openapi": res,
+        "info": res.get("info", {}),
+        "specs": convert_openapi_to_tool_payload(res),
+    }
+
+    print("Fetched data:", data)
+    return data
+
+
+async def get_tool_servers_data(
+    servers: List[Dict[str, Any]], session_token: Optional[str] = None
+) -> List[Dict[str, Any]]:
+    # Prepare list of enabled servers along with their original index
+    server_entries = []
+    for idx, server in enumerate(servers):
+        if server.get("config", {}).get("enable"):
+            url_path = server.get("path", "openapi.json")
+            full_url = f"{server.get('url')}/{url_path}"
+
+            auth_type = server.get("auth_type", "bearer")
+            token = None
+
+            if auth_type == "bearer":
+                token = server.get("key", "")
+            elif auth_type == "session":
+                token = session_token
+            server_entries.append((idx, server, full_url, token))
+
+    # Create async tasks to fetch data
+    tasks = [get_tool_server_data(token, url) for (_, _, url, token) in server_entries]
+
+    # Execute tasks concurrently
+    responses = await asyncio.gather(*tasks, return_exceptions=True)
+
+    # Build final results with index and server metadata
+    results = []
+    for (idx, server, url, _), response in zip(server_entries, responses):
+        if isinstance(response, Exception):
+            print(f"Failed to connect to {url} OpenAPI tool server")
+            continue
+
+        results.append(
+            {
+                "idx": idx,
+                "url": server.get("url"),
+                "openapi": response.get("openapi"),
+                "info": response.get("info"),
+                "specs": response.get("specs"),
+            }
+        )
+
+    return results
+
+
+async def execute_tool_server(
+    token: str, url: str, name: str, params: Dict[str, Any], server_data: Dict[str, Any]
+) -> Any:
+    error = None
+    try:
+        openapi = server_data.get("openapi", {})
+        paths = openapi.get("paths", {})
+
+        matching_route = None
+        for route_path, methods in paths.items():
+            for http_method, operation in methods.items():
+                if isinstance(operation, dict) and operation.get("operationId") == name:
+                    matching_route = (route_path, methods)
+                    break
+            if matching_route:
+                break
+
+        if not matching_route:
+            raise Exception(f"No matching route found for operationId: {name}")
+
+        route_path, methods = matching_route
+
+        method_entry = None
+        for http_method, operation in methods.items():
+            if operation.get("operationId") == name:
+                method_entry = (http_method.lower(), operation)
+                break
+
+        if not method_entry:
+            raise Exception(f"No matching method found for operationId: {name}")
+
+        http_method, operation = method_entry
+
+        path_params = {}
+        query_params = {}
+        body_params = {}
+
+        for param in operation.get("parameters", []):
+            param_name = param["name"]
+            param_in = param["in"]
+            if param_name in params:
+                if param_in == "path":
+                    path_params[param_name] = params[param_name]
+                elif param_in == "query":
+                    query_params[param_name] = params[param_name]
+
+        final_url = f"{url}{route_path}"
+        for key, value in path_params.items():
+            final_url = final_url.replace(f"{{{key}}}", str(value))
+
+        if query_params:
+            query_string = "&".join(f"{k}={v}" for k, v in query_params.items())
+            final_url = f"{final_url}?{query_string}"
+
+        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() as session:
+            request_method = getattr(session, http_method.lower())
+
+            if http_method in ["post", "put", "patch"]:
+                async with request_method(
+                    final_url, json=body_params, headers=headers
+                ) as response:
+                    if response.status >= 400:
+                        text = await response.text()
+                        raise Exception(f"HTTP error {response.status}: {text}")
+                    return await response.json()
+            else:
+                async with request_method(final_url, headers=headers) as response:
+                    if response.status >= 400:
+                        text = await response.text()
+                        raise Exception(f"HTTP error {response.status}: {text}")
+                    return await response.json()
+
+    except Exception as err:
+        error = str(err)
+        print("API Request Error:", error)
+        return {"error": error}

backend/requirements.txt

@@ -1,7 +1,7 @@
 fastapi==0.115.7
-uvicorn[standard]==0.30.6
+uvicorn[standard]==0.34.0
 pydantic==2.10.6
-python-multipart==0.0.18
+python-multipart==0.0.20
 
 python-socketio==5.11.3
 python-jose==3.4.0
@@ -13,14 +13,14 @@ async-timeout
 aiocache
 aiofiles
 
-sqlalchemy==2.0.32
+sqlalchemy==2.0.38
 alembic==1.14.0
-peewee==3.17.8
+peewee==3.17.9
 peewee-migrate==1.12.2
 psycopg2-binary==2.9.9
 pgvector==0.3.5
 PyMySQL==1.1.1
-bcrypt==4.2.0
+bcrypt==4.3.0
 
 pymongo
 redis
@@ -37,23 +37,26 @@ asgiref==3.8.1
 # AI libraries
 openai
 anthropic
-google-generativeai==0.7.2
+google-generativeai==0.8.4
 tiktoken
 
-langchain==0.3.7
-langchain-community==0.3.7
+langchain==0.3.19
+langchain-community==0.3.18
 
-fake-useragent==1.5.1
+fake-useragent==2.1.0
 chromadb==0.6.2
 pymilvus==2.5.0
 qdrant-client~=1.12.0
 opensearch-py==2.8.0
 playwright==1.49.1 # Caution: version must match docker-compose.playwright.yaml
+elasticsearch==8.17.1
+
 
 transformers
 sentence-transformers==3.3.1
+accelerate
 colbert-ai==0.2.21
-einops==0.8.0
+einops==0.8.1
 
 
 ftfy==6.2.3
@@ -65,7 +68,7 @@ python-pptx==1.0.0
 unstructured==0.16.17
 nltk==3.9.1
 Markdown==3.7
-pypandoc==1.13
+pypandoc==1.15
 pandas==2.2.3
 openpyxl==3.1.5
 pyxlsb==1.0.10
@@ -76,16 +79,19 @@ sentencepiece
 soundfile==0.13.1
 azure-ai-documentintelligence==1.0.0
 
+pillow==11.1.0
 opencv-python-headless==4.11.0.86
 rapidocr-onnxruntime==1.3.24
 rank-bm25==0.2.2
 
+onnxruntime==1.20.1
+
 faster-whisper==1.1.1
 
 PyJWT[crypto]==2.10.1
 authlib==1.4.1
 
-black==24.8.0
+black==25.1.0
 langfuse==2.44.0
 youtube-transcript-api==0.6.3
 pytube==15.0.0
@@ -116,3 +122,16 @@ ldap3==2.9.1
 
 ## Firecrawl
 firecrawl-py==1.12.0
+
+## Trace
+opentelemetry-api==1.30.0
+opentelemetry-sdk==1.30.0
+opentelemetry-exporter-otlp==1.30.0
+opentelemetry-instrumentation==0.51b0
+opentelemetry-instrumentation-fastapi==0.51b0
+opentelemetry-instrumentation-sqlalchemy==0.51b0
+opentelemetry-instrumentation-redis==0.51b0
+opentelemetry-instrumentation-requests==0.51b0
+opentelemetry-instrumentation-logging==0.51b0
+opentelemetry-instrumentation-httpx==0.51b0
+opentelemetry-instrumentation-aiohttp-client==0.51b0

backend/start_windows.bat

@@ -41,4 +41,5 @@ IF "%WEBUI_SECRET_KEY%%WEBUI_JWT_SECRET_KEY%" == " " (
 
 :: Execute uvicorn
 SET "WEBUI_SECRET_KEY=%WEBUI_SECRET_KEY%"
-uvicorn open_webui.main:app --host "%HOST%" --port "%PORT%" --forwarded-allow-ips '*'
+uvicorn open_webui.main:app --host "%HOST%" --port "%PORT%" --forwarded-allow-ips '*' --ws auto
+:: For ssl user uvicorn open_webui.main:app --host "%HOST%" --port "%PORT%" --forwarded-allow-ips '*' --ssl-keyfile "key.pem" --ssl-certfile "cert.pem" --ws auto

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "open-webui",
-	"version": "0.5.17",
+	"version": "0.6.2",
 	"private": true,
 	"scripts": {
 		"dev": "npm run pyodide:fetch && vite dev --host",
@@ -51,6 +51,7 @@
 	},
 	"type": "module",
 	"dependencies": {
+		"@azure/msal-browser": "^4.5.0",
 		"@codemirror/lang-javascript": "^6.2.2",
 		"@codemirror/lang-python": "^6.1.6",
 		"@codemirror/language-data": "^6.5.1",
@@ -79,11 +80,14 @@
 		"file-saver": "^2.0.5",
 		"fuse.js": "^7.0.0",
 		"highlight.js": "^11.9.0",
+		"html-entities": "^2.5.3",
+		"html2canvas-pro": "^1.5.8",
 		"i18next": "^23.10.0",
 		"i18next-browser-languagedetector": "^7.2.0",
 		"i18next-resources-to-backend": "^1.2.0",
 		"idb": "^7.1.1",
 		"js-sha256": "^0.10.1",
+		"jspdf": "^3.0.0",
 		"katex": "^0.16.21",
 		"kokoro-js": "^1.1.1",
 		"marked": "^9.1.0",
@@ -100,7 +104,7 @@
 		"prosemirror-schema-list": "^1.4.1",
 		"prosemirror-state": "^1.4.3",
 		"prosemirror-view": "^1.34.3",
-		"pyodide": "^0.27.2",
+		"pyodide": "^0.27.3",
 		"socket.io-client": "^4.2.0",
 		"sortablejs": "^1.15.2",
 		"svelte-sonner": "^0.3.19",

pyproject.toml

@@ -7,7 +7,7 @@ authors = [
 license = { file = "LICENSE" }
 dependencies = [
     "fastapi==0.115.7",
-    "uvicorn[standard]==0.30.6",
+    "uvicorn[standard]==0.34.0",
     "pydantic==2.10.6",
     "python-multipart==0.0.18",
 
@@ -21,14 +21,14 @@ dependencies = [
     "aiocache",
     "aiofiles",
 
-    "sqlalchemy==2.0.32",
+    "sqlalchemy==2.0.38",
     "alembic==1.14.0",
-    "peewee==3.17.8",
+    "peewee==3.17.9",
     "peewee-migrate==1.12.2",
     "psycopg2-binary==2.9.9",
     "pgvector==0.3.5",
     "PyMySQL==1.1.1",
-    "bcrypt==4.2.0",
+    "bcrypt==4.3.0",
 
     "pymongo",
     "redis",
@@ -45,23 +45,25 @@ dependencies = [
 
     "openai",
     "anthropic",
-    "google-generativeai==0.7.2",
+    "google-generativeai==0.8.4",
     "tiktoken",
 
-    "langchain==0.3.7",
-    "langchain-community==0.3.7",
+    "langchain==0.3.19",
+    "langchain-community==0.3.18",
 
-    "fake-useragent==1.5.1",
+    "fake-useragent==2.1.0",
     "chromadb==0.6.2",
     "pymilvus==2.5.0",
     "qdrant-client~=1.12.0",
     "opensearch-py==2.8.0",
     "playwright==1.49.1",
+    "elasticsearch==8.17.1",
 
     "transformers",
     "sentence-transformers==3.3.1",
+    "accelerate",
     "colbert-ai==0.2.21",
-    "einops==0.8.0",
+    "einops==0.8.1",
 
     "ftfy==6.2.3",
     "pypdf==4.3.1",
@@ -72,7 +74,7 @@ dependencies = [
     "unstructured==0.16.17",
     "nltk==3.9.1",
     "Markdown==3.7",
-    "pypandoc==1.13",
+    "pypandoc==1.15",
     "pandas==2.2.3",
     "openpyxl==3.1.5",
     "pyxlsb==1.0.10",
@@ -83,16 +85,19 @@ dependencies = [
     "soundfile==0.13.1",
     "azure-ai-documentintelligence==1.0.0",
 
+    "pillow==11.1.0",
     "opencv-python-headless==4.11.0.86",
     "rapidocr-onnxruntime==1.3.24",
     "rank-bm25==0.2.2",
 
+    "onnxruntime==1.20.1",
+
     "faster-whisper==1.1.1",
 
     "PyJWT[crypto]==2.10.1",
     "authlib==1.4.1",
 
-    "black==24.8.0",
+    "black==25.1.0",
     "langfuse==2.44.0",
     "youtube-transcript-api==0.6.3",
     "pytube==15.0.0",

src/app.css

@@ -46,6 +46,14 @@ math {
 	@apply rounded-lg;
 }
 
+input::placeholder {
+	direction: auto;
+}
+
+textarea::placeholder {
+	direction: auto;
+}
+
 .input-prose {
 	@apply prose dark:prose-invert prose-headings:font-semibold prose-hr:my-4 prose-hr:border-gray-100 prose-hr:dark:border-gray-800 prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line;
 }
@@ -106,7 +114,7 @@ li p {
 }
 
 ::-webkit-scrollbar {
-	height: 0.4rem;
+	height: 0.8rem;
 	width: 0.4rem;
 }
 

src/app.html

@@ -2,12 +2,14 @@
 <html lang="en">
 	<head>
 		<meta charset="utf-8" />
-		<link rel="icon" type="image/png" href="/favicon/favicon-96x96.png" sizes="96x96" />
-		<link rel="icon" type="image/svg+xml" href="/favicon/favicon.svg" />
-		<link rel="shortcut icon" href="/favicon/favicon.ico" />
-		<link rel="apple-touch-icon" sizes="180x180" href="/favicon/apple-touch-icon.png" />
+		<link rel="icon" type="image/png" href="/static/favicon.png" />
+		<link rel="icon" type="image/png" href="/static/favicon-96x96.png" sizes="96x96" />
+		<link rel="icon" type="image/svg+xml" href="/static/favicon.svg" />
+		<link rel="shortcut icon" href="/static/favicon.ico" />
+		<link rel="apple-touch-icon" sizes="180x180" href="/static/apple-touch-icon.png" />
 		<meta name="apple-mobile-web-app-title" content="Open WebUI" />
-		<link rel="manifest" href="/favicon/site.webmanifest" />
+
+		<link rel="manifest" href="/manifest.json" />
 		<meta
 			name="viewport"
 			content="width=device-width, initial-scale=1, maximum-scale=1, viewport-fit=cover"
@@ -74,6 +76,28 @@
 						}
 					}
 				});
+
+				function setSplashImage() {
+					const logo = document.getElementById('logo');
+					const isDarkMode = document.documentElement.classList.contains('dark');
+
+					if (isDarkMode) {
+						const darkImage = new Image();
+						darkImage.src = '/static/splash-dark.png';
+
+						darkImage.onload = () => {
+							logo.src = '/static/splash-dark.png';
+							logo.style.filter = ''; // Ensure no inversion is applied if splash-dark.png exists
+						};
+
+						darkImage.onerror = () => {
+							logo.style.filter = 'invert(1)'; // Invert image if splash-dark.png is missing
+						};
+					}
+				}
+
+				// Runs after classes are assigned
+				window.onload = setSplashImage;
 			})();
 		</script>
 
@@ -176,10 +200,6 @@
 		background: #000;
 	}
 
-	html.dark #splash-screen img {
-		filter: invert(1);
-	}
-
 	html.her #splash-screen {
 		background: #983724;
 	}

src/lib/apis/configs/index.ts

@@ -115,6 +115,93 @@ export const setDirectConnectionsConfig = async (token: string, config: object)
 	return res;
 };
 
+export const getToolServerConnections = async (token: string) => {
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/configs/tool_servers`, {
+		method: 'GET',
+		headers: {
+			'Content-Type': 'application/json',
+			Authorization: `Bearer ${token}`
+		}
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.catch((err) => {
+			console.log(err);
+			error = err.detail;
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
+export const setToolServerConnections = async (token: string, connections: object) => {
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/configs/tool_servers`, {
+		method: 'POST',
+		headers: {
+			'Content-Type': 'application/json',
+			Authorization: `Bearer ${token}`
+		},
+		body: JSON.stringify({
+			...connections
+		})
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.catch((err) => {
+			console.log(err);
+			error = err.detail;
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
+export const verifyToolServerConnection = async (token: string, connection: object) => {
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/configs/tool_servers/verify`, {
+		method: 'POST',
+		headers: {
+			'Content-Type': 'application/json',
+			Authorization: `Bearer ${token}`
+		},
+		body: JSON.stringify({
+			...connection
+		})
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.catch((err) => {
+			console.log(err);
+			error = err.detail;
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
 export const getCodeExecutionConfig = async (token: string) => {
 	let error = null;
 

src/lib/apis/index.ts

@@ -1,6 +1,9 @@
 import { WEBUI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants';
+import { convertOpenApiToToolPayload } from '$lib/utils';
 import { getOpenAIModelsDirect } from './openai';
 
+import { toast } from 'svelte-sonner';
+
 export const getModels = async (
 	token: string = '',
 	connections: object | null = null,
@@ -114,6 +117,13 @@ export const getModels = async (
 					}
 				}
 
+				const tags = apiConfig.tags;
+				if (tags) {
+					for (const model of models) {
+						model.tags = tags;
+					}
+				}
+
 				localModels = localModels.concat(models);
 			}
 		}
@@ -249,6 +259,182 @@ export const stopTask = async (token: string, id: string) => {
 	return res;
 };
 
+export const getToolServerData = async (token: string, url: string) => {
+	let error = null;
+
+	const res = await fetch(`${url}`, {
+		method: 'GET',
+		headers: {
+			Accept: 'application/json',
+			'Content-Type': 'application/json',
+			...(token && { authorization: `Bearer ${token}` })
+		}
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.catch((err) => {
+			console.log(err);
+			if ('detail' in err) {
+				error = err.detail;
+			} else {
+				error = err;
+			}
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	const data = {
+		openapi: res,
+		info: res.info,
+		specs: convertOpenApiToToolPayload(res)
+	};
+
+	console.log(data);
+	return data;
+};
+
+export const getToolServersData = async (i18n, servers: object[]) => {
+	return (
+		await Promise.all(
+			servers
+				.filter((server) => server?.config?.enable)
+				.map(async (server) => {
+					const data = await getToolServerData(
+						server?.key,
+						server?.url + '/' + (server?.path ?? 'openapi.json')
+					).catch((err) => {
+						toast.error(
+							i18n.t(`Failed to connect to {{URL}} OpenAPI tool server`, {
+								URL: server?.url + '/' + (server?.path ?? 'openapi.json')
+							})
+						);
+						return null;
+					});
+
+					if (data) {
+						const { openapi, info, specs } = data;
+						return {
+							url: server?.url,
+							openapi: openapi,
+							info: info,
+							specs: specs
+						};
+					}
+				})
+		)
+	).filter((server) => server);
+};
+
+export const executeToolServer = async (
+	token: string,
+	url: string,
+	name: string,
+	params: Record<string, any>,
+	serverData: { openapi: any; info: any; specs: any }
+) => {
+	let error = null;
+
+	try {
+		// Find the matching operationId in the OpenAPI spec
+		const matchingRoute = Object.entries(serverData.openapi.paths).find(([_, methods]) =>
+			Object.entries(methods as any).some(([__, operation]: any) => operation.operationId === name)
+		);
+
+		if (!matchingRoute) {
+			throw new Error(`No matching route found for operationId: ${name}`);
+		}
+
+		const [routePath, methods] = matchingRoute;
+
+		const methodEntry = Object.entries(methods as any).find(
+			([_, operation]: any) => operation.operationId === name
+		);
+
+		if (!methodEntry) {
+			throw new Error(`No matching method found for operationId: ${name}`);
+		}
+
+		const [httpMethod, operation]: [string, any] = methodEntry;
+
+		// Split parameters by type
+		const pathParams: Record<string, any> = {};
+		const queryParams: Record<string, any> = {};
+		let bodyParams: any = {};
+
+		if (operation.parameters) {
+			operation.parameters.forEach((param: any) => {
+				const paramName = param.name;
+				const paramIn = param.in;
+				if (params.hasOwnProperty(paramName)) {
+					if (paramIn === 'path') {
+						pathParams[paramName] = params[paramName];
+					} else if (paramIn === 'query') {
+						queryParams[paramName] = params[paramName];
+					}
+				}
+			});
+		}
+
+		let finalUrl = `${url}${routePath}`;
+
+		// Replace path parameters (`{param}`)
+		Object.entries(pathParams).forEach(([key, value]) => {
+			finalUrl = finalUrl.replace(new RegExp(`{${key}}`, 'g'), encodeURIComponent(value));
+		});
+
+		// Append query parameters to URL if any
+		if (Object.keys(queryParams).length > 0) {
+			const queryString = new URLSearchParams(
+				Object.entries(queryParams).map(([k, v]) => [k, String(v)])
+			).toString();
+			finalUrl += `?${queryString}`;
+		}
+
+		// Handle requestBody composite
+		if (operation.requestBody && operation.requestBody.content) {
+			const contentType = Object.keys(operation.requestBody.content)[0];
+			if (params !== undefined) {
+				bodyParams = params;
+			} else {
+				// Optional: Fallback or explicit error if body is expected but not provided
+				throw new Error(`Request body expected for operation '${name}' but none found.`);
+			}
+		}
+
+		// Prepare headers and request options
+		const headers: Record<string, string> = {
+			'Content-Type': 'application/json',
+			...(token && { authorization: `Bearer ${token}` })
+		};
+
+		let requestOptions: RequestInit = {
+			method: httpMethod.toUpperCase(),
+			headers
+		};
+
+		if (['post', 'put', 'patch'].includes(httpMethod.toLowerCase()) && operation.requestBody) {
+			requestOptions.body = JSON.stringify(bodyParams);
+		}
+
+		const res = await fetch(finalUrl, requestOptions);
+		if (!res.ok) {
+			const resText = await res.text();
+			throw new Error(`HTTP error! Status: ${res.status}. Message: ${resText}`);
+		}
+
+		return await res.json();
+	} catch (err: any) {
+		error = err.message;
+		console.error('API Request Error:', error);
+		return { error };
+	}
+};
+
 export const getTaskConfig = async (token: string = '') => {
 	let error = null;
 

src/lib/components/AddConnectionModal.svelte

@@ -14,6 +14,7 @@
 	import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
 	import Tooltip from '$lib/components/common/Tooltip.svelte';
 	import Switch from '$lib/components/common/Switch.svelte';
+	import Tags from './common/Tags.svelte';
 
 	export let onSubmit: Function = () => {};
 	export let onDelete: Function = () => {};
@@ -31,6 +32,7 @@
 
 	let prefixId = '';
 	let enable = true;
+	let tags = [];
 
 	let modelId = '';
 	let modelIds = [];
@@ -77,17 +79,21 @@
 	const submitHandler = async () => {
 		loading = true;
 
-		if (!ollama && (!url || !key)) {
+		if (!ollama && !url) {
 			loading = false;
-			toast.error('URL and Key are required');
+			toast.error('URL is required');
 			return;
 		}
 
+		// remove trailing slash from url
+		url = url.replace(/\/$/, '');
+
 		const connection = {
 			url,
 			key,
 			config: {
 				enable: enable,
+				tags: tags,
 				prefix_id: prefixId,
 				model_ids: modelIds
 			}
@@ -101,6 +107,7 @@
 		url = '';
 		key = '';
 		prefixId = '';
+		tags = [];
 		modelIds = [];
 	};
 
@@ -110,6 +117,7 @@
 			key = connection.key;
 
 			enable = connection.config?.enable ?? true;
+			tags = connection.config?.tags ?? [];
 			prefixId = connection.config?.prefix_id ?? '';
 			modelIds = connection.config?.model_ids ?? [];
 		}
@@ -179,7 +187,7 @@
 								</div>
 							</div>
 
-							<Tooltip content="Verify Connection" className="self-end -mb-1">
+							<Tooltip content={$i18n.t('Verify Connection')} className="self-end -mb-1">
 								<button
 									class="self-center p-1 bg-transparent hover:bg-gray-100 dark:bg-gray-900 dark:hover:bg-gray-850 rounded-lg transition"
 									on:click={() => {
@@ -218,7 +226,7 @@
 										className="w-full text-sm bg-transparent placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden"
 										bind:value={key}
 										placeholder={$i18n.t('API Key')}
-										required={!ollama}
+										required={false}
 									/>
 								</div>
 							</div>
@@ -244,6 +252,29 @@
 							</div>
 						</div>
 
+						<div class="flex gap-2 mt-2">
+							<div class="flex flex-col w-full">
+								<div class=" mb-1.5 text-xs text-gray-500">{$i18n.t('Tags')}</div>
+
+								<div class="flex-1">
+									<Tags
+										bind:tags
+										on:add={(e) => {
+											tags = [
+												...tags,
+												{
+													name: e.detail
+												}
+											];
+										}}
+										on:delete={(e) => {
+											tags = tags.filter((tag) => tag.name !== e.detail);
+										}}
+									/>
+								</div>
+							</div>
+						</div>
+
 						<hr class=" border-gray-100 dark:border-gray-700/10 my-2.5 w-full" />
 
 						<div class="flex flex-col w-full">
@@ -274,12 +305,12 @@
 							{:else}
 								<div class="text-gray-500 text-xs text-center py-2 px-10">
 									{#if ollama}
-										{$i18n.t('Leave empty to include all models from "{{URL}}/api/tags" endpoint', {
-											URL: url
+										{$i18n.t('Leave empty to include all models from "{{url}}/api/tags" endpoint', {
+											url: url
 										})}
 									{:else}
-										{$i18n.t('Leave empty to include all models from "{{URL}}/models" endpoint', {
-											URL: url
+										{$i18n.t('Leave empty to include all models from "{{url}}/models" endpoint', {
+											url: url
 										})}
 									{/if}
 								</div>

src/lib/components/AddServerModal.svelte

@@ -0,0 +1,347 @@
+<script lang="ts">
+	import { toast } from 'svelte-sonner';
+	import { getContext, onMount } from 'svelte';
+	const i18n = getContext('i18n');
+
+	import { models } from '$lib/stores';
+	import { verifyOpenAIConnection } from '$lib/apis/openai';
+	import { verifyOllamaConnection } from '$lib/apis/ollama';
+
+	import Modal from '$lib/components/common/Modal.svelte';
+	import Plus from '$lib/components/icons/Plus.svelte';
+	import Minus from '$lib/components/icons/Minus.svelte';
+	import PencilSolid from '$lib/components/icons/PencilSolid.svelte';
+	import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
+	import Tooltip from '$lib/components/common/Tooltip.svelte';
+	import Switch from '$lib/components/common/Switch.svelte';
+	import Tags from './common/Tags.svelte';
+	import { getToolServerData } from '$lib/apis';
+	import { verifyToolServerConnection } from '$lib/apis/configs';
+	import AccessControl from './workspace/common/AccessControl.svelte';
+
+	export let onSubmit: Function = () => {};
+	export let onDelete: Function = () => {};
+
+	export let show = false;
+	export let edit = false;
+
+	export let direct = false;
+
+	export let connection = null;
+
+	let url = '';
+	let path = 'openapi.json';
+
+	let auth_type = 'bearer';
+	let key = '';
+
+	let accessControl = null;
+
+	let enable = true;
+
+	let loading = false;
+
+	const verifyHandler = async () => {
+		if (url === '') {
+			toast.error($i18n.t('Please enter a valid URL'));
+			return;
+		}
+
+		if (path === '') {
+			toast.error($i18n.t('Please enter a valid path'));
+			return;
+		}
+
+		if (direct) {
+			const res = await getToolServerData(
+				auth_type === 'bearer' ? key : localStorage.token,
+				`${url}/${path}`
+			).catch((err) => {
+				toast.error($i18n.t('Connection failed'));
+			});
+
+			if (res) {
+				toast.success($i18n.t('Connection successful'));
+				console.debug('Connection successful', res);
+			}
+		} else {
+			const res = await verifyToolServerConnection(localStorage.token, {
+				url,
+				path,
+				auth_type,
+				key,
+				config: {
+					enable: enable,
+					access_control: accessControl
+				}
+			}).catch((err) => {
+				toast.error($i18n.t('Connection failed'));
+			});
+
+			if (res) {
+				toast.success($i18n.t('Connection successful'));
+				console.debug('Connection successful', res);
+			}
+		}
+	};
+
+	const submitHandler = async () => {
+		loading = true;
+
+		// remove trailing slash from url
+		url = url.replace(/\/$/, '');
+
+		const connection = {
+			url,
+			path,
+			auth_type,
+			key,
+			config: {
+				enable: enable,
+				access_control: accessControl
+			}
+		};
+
+		await onSubmit(connection);
+
+		loading = false;
+		show = false;
+
+		url = '';
+		path = 'openapi.json';
+		key = '';
+		auth_type = 'bearer';
+
+		enable = true;
+		accessControl = null;
+	};
+
+	const init = () => {
+		if (connection) {
+			url = connection.url;
+			path = connection?.path ?? 'openapi.json';
+
+			auth_type = connection?.auth_type ?? 'bearer';
+			key = connection?.key ?? '';
+
+			enable = connection.config?.enable ?? true;
+			accessControl = connection.config?.access_control ?? null;
+		}
+	};
+
+	$: if (show) {
+		init();
+	}
+
+	onMount(() => {
+		init();
+	});
+</script>
+
+<Modal size="sm" bind:show>
+	<div>
+		<div class=" flex justify-between dark:text-gray-100 px-5 pt-4 pb-2">
+			<div class=" text-lg font-medium self-center font-primary">
+				{#if edit}
+					{$i18n.t('Edit Connection')}
+				{:else}
+					{$i18n.t('Add Connection')}
+				{/if}
+			</div>
+			<button
+				class="self-center"
+				on:click={() => {
+					show = false;
+				}}
+			>
+				<svg
+					xmlns="http://www.w3.org/2000/svg"
+					viewBox="0 0 20 20"
+					fill="currentColor"
+					class="w-5 h-5"
+				>
+					<path
+						d="M6.28 5.22a.75.75 0 00-1.06 1.06L8.94 10l-3.72 3.72a.75.75 0 101.06 1.06L10 11.06l3.72 3.72a.75.75 0 101.06-1.06L11.06 10l3.72-3.72a.75.75 0 00-1.06-1.06L10 8.94 6.28 5.22z"
+					/>
+				</svg>
+			</button>
+		</div>
+
+		<div class="flex flex-col md:flex-row w-full px-4 pb-4 md:space-x-4 dark:text-gray-200">
+			<div class=" flex flex-col w-full sm:flex-row sm:justify-center sm:space-x-6">
+				<form
+					class="flex flex-col w-full"
+					on:submit={(e) => {
+						e.preventDefault();
+						submitHandler();
+					}}
+				>
+					<div class="px-1">
+						<div class="flex gap-2">
+							<div class="flex flex-col w-full">
+								<div class="flex justify-between mb-0.5">
+									<div class=" text-xs text-gray-500">{$i18n.t('URL')}</div>
+								</div>
+
+								<div class="flex flex-1 items-center">
+									<input
+										class="w-full flex-1 text-sm bg-transparent placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden"
+										type="text"
+										bind:value={url}
+										placeholder={$i18n.t('API Base URL')}
+										autocomplete="off"
+										required
+									/>
+
+									<Tooltip
+										content={$i18n.t('Verify Connection')}
+										className="shrink-0 flex items-center mr-1"
+									>
+										<button
+											class="self-center p-1 bg-transparent hover:bg-gray-100 dark:bg-gray-900 dark:hover:bg-gray-850 rounded-lg transition"
+											on:click={() => {
+												verifyHandler();
+											}}
+											type="button"
+										>
+											<svg
+												xmlns="http://www.w3.org/2000/svg"
+												viewBox="0 0 20 20"
+												fill="currentColor"
+												class="w-4 h-4"
+											>
+												<path
+													fill-rule="evenodd"
+													d="M15.312 11.424a5.5 5.5 0 01-9.201 2.466l-.312-.311h2.433a.75.75 0 000-1.5H3.989a.75.75 0 00-.75.75v4.242a.75.75 0 001.5 0v-2.43l.31.31a7 7 0 0011.712-3.138.75.75 0 00-1.449-.39zm1.23-3.723a.75.75 0 00.219-.53V2.929a.75.75 0 00-1.5 0V5.36l-.31-.31A7 7 0 003.239 8.188a.75.75 0 101.448.389A5.5 5.5 0 0113.89 6.11l.311.31h-2.432a.75.75 0 000 1.5h4.243a.75.75 0 00.53-.219z"
+													clip-rule="evenodd"
+												/>
+											</svg>
+										</button>
+									</Tooltip>
+
+									<Tooltip content={enable ? $i18n.t('Enabled') : $i18n.t('Disabled')}>
+										<Switch bind:state={enable} />
+									</Tooltip>
+								</div>
+
+								<div class="flex-1 flex items-center">
+									<div class="text-sm">/</div>
+									<input
+										class="w-full text-sm bg-transparent placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden"
+										type="text"
+										bind:value={path}
+										placeholder={$i18n.t('openapi.json Path')}
+										autocomplete="off"
+										required
+									/>
+								</div>
+							</div>
+						</div>
+
+						<div class="text-xs text-gray-500 mt-1">
+							{$i18n.t(`WebUI will make requests to "{{url}}"`, {
+								url: `${url}/${path}`
+							})}
+						</div>
+
+						<div class="flex gap-2 mt-2">
+							<div class="flex flex-col w-full">
+								<div class="  text-xs text-gray-500">{$i18n.t('Auth')}</div>
+
+								<div class="flex gap-2">
+									<div class="flex-shrink-0 self-start">
+										<select
+											class="w-full text-sm bg-transparent dark:bg-gray-900 placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden pr-5"
+											bind:value={auth_type}
+										>
+											<option value="bearer">Bearer</option>
+											<option value="session">Session</option>
+										</select>
+									</div>
+
+									<div class="flex flex-1 items-center">
+										{#if auth_type === 'bearer'}
+											<SensitiveInput
+												className="w-full text-sm bg-transparent placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden"
+												bind:value={key}
+												placeholder={$i18n.t('API Key')}
+												required={false}
+											/>
+										{:else if auth_type === 'session'}
+											<div class="text-xs text-gray-500 self-center translate-y-[1px]">
+												{$i18n.t('Forwards system user session credentials to authenticate')}
+											</div>
+										{/if}
+									</div>
+								</div>
+							</div>
+						</div>
+
+						{#if !direct}
+							<hr class=" border-gray-100 dark:border-gray-700/10 my-2.5 w-full" />
+
+							<div class="my-2 -mx-2">
+								<div class="px-3 py-2 bg-gray-50 dark:bg-gray-950 rounded-lg">
+									<AccessControl bind:accessControl />
+								</div>
+							</div>
+						{/if}
+					</div>
+
+					<div class="flex justify-end pt-3 text-sm font-medium gap-1.5">
+						{#if edit}
+							<button
+								class="px-3.5 py-1.5 text-sm font-medium dark:bg-black dark:hover:bg-gray-900 dark:text-white bg-white text-black hover:bg-gray-100 transition rounded-full flex flex-row space-x-1 items-center"
+								type="button"
+								on:click={() => {
+									onDelete();
+									show = false;
+								}}
+							>
+								{$i18n.t('Delete')}
+							</button>
+						{/if}
+
+						<button
+							class="px-3.5 py-1.5 text-sm font-medium bg-black hover:bg-gray-900 text-white dark:bg-white dark:text-black dark:hover:bg-gray-100 transition rounded-full flex flex-row space-x-1 items-center {loading
+								? ' cursor-not-allowed'
+								: ''}"
+							type="submit"
+							disabled={loading}
+						>
+							{$i18n.t('Save')}
+
+							{#if loading}
+								<div class="ml-2 self-center">
+									<svg
+										class=" w-4 h-4"
+										viewBox="0 0 24 24"
+										fill="currentColor"
+										xmlns="http://www.w3.org/2000/svg"
+										><style>
+											.spinner_ajPY {
+												transform-origin: center;
+												animation: spinner_AtaB 0.75s infinite linear;
+											}
+											@keyframes spinner_AtaB {
+												100% {
+													transform: rotate(360deg);
+												}
+											}
+										</style><path
+											d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z"
+											opacity=".25"
+										/><path
+											d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z"
+											class="spinner_ajPY"
+										/></svg
+									>
+								</div>
+							{/if}
+						</button>
+					</div>
+				</form>
+			</div>
+		</div>
+	</div>
+</Modal>

src/lib/components/OnBoarding.svelte

@@ -1,5 +1,5 @@
 <script>
-	import { getContext } from 'svelte';
+	import { getContext, onMount } from 'svelte';
 	const i18n = getContext('i18n');
 
 	import { WEBUI_BASE_URL } from '$lib/constants';
@@ -10,6 +10,32 @@
 
 	export let show = true;
 	export let getStartedHandler = () => {};
+
+	function setLogoImage() {
+		const logo = document.getElementById('logo');
+
+		if (logo) {
+			const isDarkMode = document.documentElement.classList.contains('dark');
+
+			if (isDarkMode) {
+				const darkImage = new Image();
+				darkImage.src = '/static/favicon-dark.png';
+
+				darkImage.onload = () => {
+					logo.src = '/static/favicon-dark.png';
+					logo.style.filter = ''; // Ensure no inversion is applied if splash-dark.png exists
+				};
+
+				darkImage.onerror = () => {
+					logo.style.filter = 'invert(1)'; // Invert image if splash-dark.png is missing
+				};
+			}
+		}
+	}
+
+	$: if (show) {
+		setLogoImage();
+	}
 </script>
 
 {#if show}
@@ -18,6 +44,7 @@
 			<div class="flex space-x-2">
 				<div class=" self-center">
 					<img
+						id="logo"
 						crossorigin="anonymous"
 						src="{WEBUI_BASE_URL}/static/favicon.png"
 						class=" w-6 rounded-full"

src/lib/components/admin/Evaluations/Feedbacks.svelte

@@ -115,7 +115,7 @@
 		<span class="text-lg font-medium text-gray-500 dark:text-gray-300">{feedbacks.length}</span>
 	</div>
 
-	<div>
+	{#if feedbacks.length > 0}
 		<div>
 			<Tooltip content={$i18n.t('Export')}>
 				<button
@@ -128,7 +128,7 @@
 				</button>
 			</Tooltip>
 		</div>
-	</div>
+	{/if}
 </div>
 
 <div

src/lib/components/admin/Functions.svelte

@@ -430,39 +430,41 @@
 			</div>
 		</button>
 
-		<button
-			class="flex text-xs items-center space-x-1 px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-800 dark:hover:bg-gray-700 dark:text-gray-200 transition"
-			on:click={async () => {
-				const _functions = await exportFunctions(localStorage.token).catch((error) => {
-					toast.error(`${error}`);
-					return null;
-				});
-
-				if (_functions) {
-					let blob = new Blob([JSON.stringify(_functions)], {
-						type: 'application/json'
+		{#if $functions.length}
+			<button
+				class="flex text-xs items-center space-x-1 px-3 py-1.5 rounded-xl bg-gray-50 hover:bg-gray-100 dark:bg-gray-800 dark:hover:bg-gray-700 dark:text-gray-200 transition"
+				on:click={async () => {
+					const _functions = await exportFunctions(localStorage.token).catch((error) => {
+						toast.error(`${error}`);
+						return null;
 					});
-					saveAs(blob, `functions-export-${Date.now()}.json`);
-				}
-			}}
-		>
-			<div class=" self-center mr-2 font-medium line-clamp-1">{$i18n.t('Export Functions')}</div>
 
-			<div class=" self-center">
-				<svg
-					xmlns="http://www.w3.org/2000/svg"
-					viewBox="0 0 16 16"
-					fill="currentColor"
-					class="w-4 h-4"
-				>
-					<path
-						fill-rule="evenodd"
-						d="M4 2a1.5 1.5 0 0 0-1.5 1.5v9A1.5 1.5 0 0 0 4 14h8a1.5 1.5 0 0 0 1.5-1.5V6.621a1.5 1.5 0 0 0-.44-1.06L9.94 2.439A1.5 1.5 0 0 0 8.878 2H4Zm4 3.5a.75.75 0 0 1 .75.75v2.69l.72-.72a.75.75 0 1 1 1.06 1.06l-2 2a.75.75 0 0 1-1.06 0l-2-2a.75.75 0 0 1 1.06-1.06l.72.72V6.25A.75.75 0 0 1 8 5.5Z"
-						clip-rule="evenodd"
-					/>
-				</svg>
-			</div>
-		</button>
+					if (_functions) {
+						let blob = new Blob([JSON.stringify(_functions)], {
+							type: 'application/json'
+						});
+						saveAs(blob, `functions-export-${Date.now()}.json`);
+					}
+				}}
+			>
+				<div class=" self-center mr-2 font-medium line-clamp-1">{$i18n.t('Export Functions')}</div>
+
+				<div class=" self-center">
+					<svg
+						xmlns="http://www.w3.org/2000/svg"
+						viewBox="0 0 16 16"
+						fill="currentColor"
+						class="w-4 h-4"
+					>
+						<path
+							fill-rule="evenodd"
+							d="M4 2a1.5 1.5 0 0 0-1.5 1.5v9A1.5 1.5 0 0 0 4 14h8a1.5 1.5 0 0 0 1.5-1.5V6.621a1.5 1.5 0 0 0-.44-1.06L9.94 2.439A1.5 1.5 0 0 0 8.878 2H4Zm4 3.5a.75.75 0 0 1 .75.75v2.69l.72-.72a.75.75 0 1 1 1.06 1.06l-2 2a.75.75 0 0 1-1.06 0l-2-2a.75.75 0 0 1 1.06-1.06l.72.72V6.25A.75.75 0 0 1 8 5.5Z"
+							clip-rule="evenodd"
+						/>
+					</svg>
+				</div>
+			</button>
+		{/if}
 	</div>
 </div>
 

src/lib/components/admin/Settings.svelte

@@ -20,6 +20,7 @@
 	import DocumentChartBar from '../icons/DocumentChartBar.svelte';
 	import Evaluations from './Settings/Evaluations.svelte';
 	import CodeExecution from './Settings/CodeExecution.svelte';
+	import Tools from './Settings/Tools.svelte';
 
 	const i18n = getContext('i18n');
 
@@ -71,7 +72,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'connections'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -95,7 +96,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'models'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -121,7 +122,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'evaluations'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -136,7 +137,33 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
+			'tools'
+				? ''
+				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
+			on:click={() => {
+				selectedTab = 'tools';
+			}}
+		>
+			<div class=" self-center mr-2">
+				<svg
+					xmlns="http://www.w3.org/2000/svg"
+					viewBox="0 0 24 24"
+					fill="currentColor"
+					class="size-4"
+				>
+					<path
+						fill-rule="evenodd"
+						d="M12 6.75a5.25 5.25 0 0 1 6.775-5.025.75.75 0 0 1 .313 1.248l-3.32 3.319c.063.475.276.934.641 1.299.365.365.824.578 1.3.64l3.318-3.319a.75.75 0 0 1 1.248.313 5.25 5.25 0 0 1-5.472 6.756c-1.018-.086-1.87.1-2.309.634L7.344 21.3A3.298 3.298 0 1 1 2.7 16.657l8.684-7.151c.533-.44.72-1.291.634-2.309A5.342 5.342 0 0 1 12 6.75ZM4.117 19.125a.75.75 0 0 1 .75-.75h.008a.75.75 0 0 1 .75.75v.008a.75.75 0 0 1-.75.75h-.008a.75.75 0 0 1-.75-.75v-.008Z"
+						clip-rule="evenodd"
+					/>
+				</svg>
+			</div>
+			<div class=" self-center">{$i18n.t('Tools')}</div>
+		</button>
+
+		<button
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'documents'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -166,7 +193,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'web'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -190,7 +217,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'code-execution'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -216,7 +243,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'interface'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -242,7 +269,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'audio'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -269,7 +296,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'images'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -295,7 +322,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'pipelines'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -325,7 +352,7 @@
 		</button>
 
 		<button
-			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
+			class="px-0.5 py-1 min-w-fit rounded-lg flex-1 md:flex-none flex text-left transition {selectedTab ===
 			'db'
 				? ''
 				: ' text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'}"
@@ -373,6 +400,8 @@
 			<Models />
 		{:else if selectedTab === 'evaluations'}
 			<Evaluations />
+		{:else if selectedTab === 'tools'}
+			<Tools />
 		{:else if selectedTab === 'documents'}
 			<Documents
 				on:save={async () => {

src/lib/components/admin/Settings/CodeExecution.svelte

@@ -45,6 +45,16 @@
 
 					<hr class=" border-gray-100 dark:border-gray-850 my-2" />
 
+					<div class="mb-2.5">
+						<div class=" flex w-full justify-between">
+							<div class=" self-center text-xs font-medium">
+								{$i18n.t('Enable Code Execution')}
+							</div>
+
+							<Switch bind:state={config.ENABLE_CODE_EXECUTION} />
+						</div>
+					</div>
+
 					<div class="mb-2.5">
 						<div class="flex w-full justify-between">
 							<div class=" self-center text-xs font-medium">{$i18n.t('Code Execution Engine')}</div>

src/lib/components/admin/Settings/Connections.svelte

@@ -136,7 +136,7 @@
 	};
 
 	onMount(async () => {
-		if ($user.role === 'admin') {
+		if ($user?.role === 'admin') {
 			let ollamaConfig = {};
 			let openaiConfig = {};
 
@@ -274,6 +274,7 @@
 												newConfig[newIdx] = OPENAI_API_CONFIGS[newIdx < idx ? newIdx : newIdx + 1];
 											});
 											OPENAI_API_CONFIGS = newConfig;
+											updateOpenAIHandler();
 										}}
 									/>
 								{/each}

src/lib/components/admin/Settings/Connections/OllamaConnection.svelte

@@ -5,6 +5,7 @@
 	import Tooltip from '$lib/components/common/Tooltip.svelte';
 	import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
 	import AddConnectionModal from '$lib/components/AddConnectionModal.svelte';
+	import ConfirmDialog from '$lib/components/common/ConfirmDialog.svelte';
 
 	import Cog6 from '$lib/components/icons/Cog6.svelte';
 	import Wrench from '$lib/components/icons/Wrench.svelte';
@@ -20,6 +21,7 @@
 
 	let showManageModal = false;
 	let showConfigModal = false;
+	let showDeleteConfirmDialog = false;
 </script>
 
 <AddConnectionModal
@@ -31,7 +33,9 @@
 		key: config?.key ?? '',
 		config: config
 	}}
-	{onDelete}
+	onDelete={() => {
+		showDeleteConfirmDialog = true;
+	}}
 	onSubmit={(connection) => {
 		url = connection.url;
 		config = { ...connection.config, key: connection.key };
@@ -39,6 +43,14 @@
 	}}
 />
 
+<ConfirmDialog
+	bind:show={showDeleteConfirmDialog}
+	on:confirm={() => {
+		onDelete();
+		showConfigModal = false;
+	}}
+/>
+
 <ManageOllamaModal bind:show={showManageModal} urlIdx={idx} />
 
 <div class="flex gap-1.5">

src/lib/components/admin/Settings/Connections/OpenAIConnection.svelte

@@ -6,6 +6,7 @@
 	import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
 	import Cog6 from '$lib/components/icons/Cog6.svelte';
 	import AddConnectionModal from '$lib/components/AddConnectionModal.svelte';
+	import ConfirmDialog from '$lib/components/common/ConfirmDialog.svelte';
 
 	import { connect } from 'socket.io-client';
 
@@ -19,8 +20,16 @@
 	export let config = {};
 
 	let showConfigModal = false;
+	let showDeleteConfirmDialog = false;
 </script>
 
+<ConfirmDialog
+	bind:show={showDeleteConfirmDialog}
+	on:confirm={() => {
+		onDelete();
+	}}
+/>
+
 <AddConnectionModal
 	edit
 	bind:show={showConfigModal}
@@ -29,7 +38,9 @@
 		key,
 		config
 	}}
-	{onDelete}
+	onDelete={() => {
+		showDeleteConfirmDialog = true;
+	}}
 	onSubmit={(connection) => {
 		url = connection.url;
 		key = connection.key;

src/lib/components/admin/Settings/Documents.svelte

@@ -49,9 +49,13 @@
 	let contentExtractionEngine = 'default';
 	let tikaServerUrl = '';
 	let showTikaServerUrl = false;
+	let doclingServerUrl = '';
+	let showDoclingServerUrl = false;
 	let documentIntelligenceEndpoint = '';
 	let documentIntelligenceKey = '';
 	let showDocumentIntelligenceConfig = false;
+	let mistralApiKey = '';
+	let showMistralOcrConfig = false;
 
 	let textSplitter = '';
 	let chunkSize = 0;
@@ -74,6 +78,7 @@
 		template: '',
 		r: 0.0,
 		k: 4,
+		k_reranker: 4,
 		hybrid: false
 	};
 
@@ -175,6 +180,10 @@
 			toast.error($i18n.t('Tika Server URL required.'));
 			return;
 		}
+		if (contentExtractionEngine === 'docling' && doclingServerUrl === '') {
+			toast.error($i18n.t('Docling Server URL required.'));
+			return;
+		}
 		if (
 			contentExtractionEngine === 'document_intelligence' &&
 			(documentIntelligenceEndpoint === '' || documentIntelligenceKey === '')
@@ -182,6 +191,10 @@
 			toast.error($i18n.t('Document Intelligence endpoint and key required.'));
 			return;
 		}
+		if (contentExtractionEngine === 'mistral_ocr' && mistralApiKey === '') {
+			toast.error($i18n.t('Mistral OCR API Key required.'));
+			return;
+		}
 
 		if (!BYPASS_EMBEDDING_AND_RETRIEVAL) {
 			await embeddingModelUpdateHandler();
@@ -209,9 +222,13 @@
 			content_extraction: {
 				engine: contentExtractionEngine,
 				tika_server_url: tikaServerUrl,
+				docling_server_url: doclingServerUrl,
 				document_intelligence_config: {
 					key: documentIntelligenceKey,
 					endpoint: documentIntelligenceEndpoint
+				},
+				mistral_ocr_config: {
+					api_key: mistralApiKey
 				}
 			}
 		});
@@ -269,10 +286,15 @@
 
 			contentExtractionEngine = res.content_extraction.engine;
 			tikaServerUrl = res.content_extraction.tika_server_url;
+			doclingServerUrl = res.content_extraction.docling_server_url;
+
 			showTikaServerUrl = contentExtractionEngine === 'tika';
+			showDoclingServerUrl = contentExtractionEngine === 'docling';
 			documentIntelligenceEndpoint = res.content_extraction.document_intelligence_config.endpoint;
 			documentIntelligenceKey = res.content_extraction.document_intelligence_config.key;
 			showDocumentIntelligenceConfig = contentExtractionEngine === 'document_intelligence';
+			mistralApiKey = res.content_extraction.mistral_ocr_config.api_key;
+			showMistralOcrConfig = contentExtractionEngine === 'mistral_ocr';
 
 			fileMaxSize = res?.file.max_size ?? '';
 			fileMaxCount = res?.file.max_count ?? '';
@@ -324,20 +346,21 @@
 
 				<hr class=" border-gray-100 dark:border-gray-850 my-2" />
 
-				<div class="  mb-2.5 flex flex-col w-full justify-between">
+				<div class="mb-2.5 flex flex-col w-full justify-between">
 					<div class="flex w-full justify-between">
-						<div class=" self-center text-xs font-medium">
+						<div class="self-center text-xs font-medium">
 							{$i18n.t('Content Extraction Engine')}
 						</div>
-
 						<div class="">
 							<select
 								class="dark:bg-gray-900 w-fit pr-8 rounded-sm px-2 text-xs bg-transparent outline-hidden text-right"
 								bind:value={contentExtractionEngine}
 							>
-								<option value="">{$i18n.t('Default')} </option>
+								<option value="">{$i18n.t('Default')}</option>
 								<option value="tika">{$i18n.t('Tika')}</option>
+								<option value="docling">{$i18n.t('Docling')}</option>
 								<option value="document_intelligence">{$i18n.t('Document Intelligence')}</option>
+								<option value="mistral_ocr">{$i18n.t('Mistral OCR')}</option>
 							</select>
 						</div>
 					</div>
@@ -351,6 +374,14 @@
 								/>
 							</div>
 						</div>
+					{:else if contentExtractionEngine === 'docling'}
+						<div class="flex w-full mt-1">
+							<input
+								class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden"
+								placeholder={$i18n.t('Enter Docling Server URL')}
+								bind:value={doclingServerUrl}
+							/>
+						</div>
 					{:else if contentExtractionEngine === 'document_intelligence'}
 						<div class="my-0.5 flex gap-2 pr-2">
 							<input
@@ -358,12 +389,18 @@
 								placeholder={$i18n.t('Enter Document Intelligence Endpoint')}
 								bind:value={documentIntelligenceEndpoint}
 							/>
-
 							<SensitiveInput
 								placeholder={$i18n.t('Enter Document Intelligence Key')}
 								bind:value={documentIntelligenceKey}
 							/>
 						</div>
+					{:else if contentExtractionEngine === 'mistral_ocr'}
+						<div class="my-0.5 flex gap-2 pr-2">
+							<SensitiveInput
+								placeholder={$i18n.t('Enter Mistral API Key')}
+								bind:value={mistralApiKey}
+							/>
+						</div>
 					{/if}
 				</div>
 
@@ -387,8 +424,12 @@
 					<div class="flex items-center relative">
 						<Tooltip
 							content={BYPASS_EMBEDDING_AND_RETRIEVAL
-								? 'Inject the entire content as context for comprehensive processing, this is recommended for complex queries.'
-								: 'Default to segmented retrieval for focused and relevant content extraction, this is recommended for most cases.'}
+								? $i18n.t(
+										'Inject the entire content as context for comprehensive processing, this is recommended for complex queries.'
+									)
+								: $i18n.t(
+										'Default to segmented retrieval for focused and relevant content extraction, this is recommended for most cases.'
+									)}
 						>
 							<Switch bind:state={BYPASS_EMBEDDING_AND_RETRIEVAL} />
 						</Tooltip>
@@ -619,104 +660,6 @@
 							</div>
 						</div>
 					{/if}
-
-					<div class="  mb-2.5 flex w-full justify-between">
-						<div class=" self-center text-xs font-medium">{$i18n.t('Full Context Mode')}</div>
-						<div class="flex items-center relative">
-							<Tooltip
-								content={RAG_FULL_CONTEXT
-									? 'Inject entire contents as context for comprehensive processing, this is recommended for complex queries.'
-									: 'Default to segmented retrieval for focused and relevant content extraction, this is recommended for most cases.'}
-							>
-								<Switch bind:state={RAG_FULL_CONTEXT} />
-							</Tooltip>
-						</div>
-					</div>
-
-					<div class="  mb-2.5 flex w-full justify-between">
-						<div class=" self-center text-xs font-medium">{$i18n.t('Hybrid Search')}</div>
-						<div class="flex items-center relative">
-							<Switch
-								bind:state={querySettings.hybrid}
-								on:change={() => {
-									toggleHybridSearch();
-								}}
-							/>
-						</div>
-					</div>
-
-					{#if querySettings.hybrid === true}
-						<div class="  mb-2.5 flex flex-col w-full">
-							<div class=" mb-1 text-xs font-medium">{$i18n.t('Reranking Model')}</div>
-
-							<div class="">
-								<div class="flex w-full">
-									<div class="flex-1 mr-2">
-										<input
-											class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden"
-											placeholder={$i18n.t('Set reranking model (e.g. {{model}})', {
-												model: 'BAAI/bge-reranker-v2-m3'
-											})}
-											bind:value={rerankingModel}
-										/>
-									</div>
-									<button
-										class="px-2.5 bg-transparent text-gray-800 dark:bg-transparent dark:text-gray-100 rounded-lg transition"
-										on:click={() => {
-											rerankingModelUpdateHandler();
-										}}
-										disabled={updateRerankingModelLoading}
-									>
-										{#if updateRerankingModelLoading}
-											<div class="self-center">
-												<svg
-													class=" w-4 h-4"
-													viewBox="0 0 24 24"
-													fill="currentColor"
-													xmlns="http://www.w3.org/2000/svg"
-												>
-													<style>
-														.spinner_ajPY {
-															transform-origin: center;
-															animation: spinner_AtaB 0.75s infinite linear;
-														}
-
-														@keyframes spinner_AtaB {
-															100% {
-																transform: rotate(360deg);
-															}
-														}
-													</style>
-													<path
-														d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z"
-														opacity=".25"
-													/>
-													<path
-														d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z"
-														class="spinner_ajPY"
-													/>
-												</svg>
-											</div>
-										{:else}
-											<svg
-												xmlns="http://www.w3.org/2000/svg"
-												viewBox="0 0 16 16"
-												fill="currentColor"
-												class="w-4 h-4"
-											>
-												<path
-													d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z"
-												/>
-												<path
-													d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z"
-												/>
-											</svg>
-										{/if}
-									</button>
-								</div>
-							</div>
-						</div>
-					{/if}
 				</div>
 
 				<div class="mb-3">
@@ -725,42 +668,164 @@
 					<hr class=" border-gray-100 dark:border-gray-850 my-2" />
 
 					<div class="  mb-2.5 flex w-full justify-between">
-						<div class=" self-center text-xs font-medium">{$i18n.t('Top K')}</div>
+						<div class=" self-center text-xs font-medium">{$i18n.t('Full Context Mode')}</div>
 						<div class="flex items-center relative">
-							<input
-								class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden"
-								type="number"
-								placeholder={$i18n.t('Enter Top K')}
-								bind:value={querySettings.k}
-								autocomplete="off"
-								min="0"
-							/>
+							<Tooltip
+								content={RAG_FULL_CONTEXT
+									? $i18n.t(
+											'Inject the entire content as context for comprehensive processing, this is recommended for complex queries.'
+										)
+									: $i18n.t(
+											'Default to segmented retrieval for focused and relevant content extraction, this is recommended for most cases.'
+										)}
+							>
+								<Switch bind:state={RAG_FULL_CONTEXT} />
+							</Tooltip>
 						</div>
 					</div>
 
-					{#if querySettings.hybrid === true}
-						<div class="  mb-2.5 flex flex-col w-full justify-between">
-							<div class=" flex w-full justify-between">
-								<div class=" self-center text-xs font-medium">{$i18n.t('Minimum Score')}</div>
+					{#if !RAG_FULL_CONTEXT}
+						<div class="  mb-2.5 flex w-full justify-between">
+							<div class=" self-center text-xs font-medium">{$i18n.t('Hybrid Search')}</div>
+							<div class="flex items-center relative">
+								<Switch
+									bind:state={querySettings.hybrid}
+									on:change={() => {
+										toggleHybridSearch();
+									}}
+								/>
+							</div>
+						</div>
+
+						{#if querySettings.hybrid === true}
+							<div class="  mb-2.5 flex flex-col w-full">
+								<div class=" mb-1 text-xs font-medium">{$i18n.t('Reranking Model')}</div>
+
+								<div class="">
+									<div class="flex w-full">
+										<div class="flex-1 mr-2">
+											<input
+												class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden"
+												placeholder={$i18n.t('Set reranking model (e.g. {{model}})', {
+													model: 'BAAI/bge-reranker-v2-m3'
+												})}
+												bind:value={rerankingModel}
+											/>
+										</div>
+										<button
+											class="px-2.5 bg-transparent text-gray-800 dark:bg-transparent dark:text-gray-100 rounded-lg transition"
+											on:click={() => {
+												rerankingModelUpdateHandler();
+											}}
+											disabled={updateRerankingModelLoading}
+										>
+											{#if updateRerankingModelLoading}
+												<div class="self-center">
+													<svg
+														class=" w-4 h-4"
+														viewBox="0 0 24 24"
+														fill="currentColor"
+														xmlns="http://www.w3.org/2000/svg"
+													>
+														<style>
+															.spinner_ajPY {
+																transform-origin: center;
+																animation: spinner_AtaB 0.75s infinite linear;
+															}
+
+															@keyframes spinner_AtaB {
+																100% {
+																	transform: rotate(360deg);
+																}
+															}
+														</style>
+														<path
+															d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z"
+															opacity=".25"
+														/>
+														<path
+															d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z"
+															class="spinner_ajPY"
+														/>
+													</svg>
+												</div>
+											{:else}
+												<svg
+													xmlns="http://www.w3.org/2000/svg"
+													viewBox="0 0 16 16"
+													fill="currentColor"
+													class="w-4 h-4"
+												>
+													<path
+														d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z"
+													/>
+													<path
+														d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z"
+													/>
+												</svg>
+											{/if}
+										</button>
+									</div>
+								</div>
+							</div>
+						{/if}
+
+						<div class="  mb-2.5 flex w-full justify-between">
+							<div class=" self-center text-xs font-medium">{$i18n.t('Top K')}</div>
+							<div class="flex items-center relative">
+								<input
+									class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden"
+									type="number"
+									placeholder={$i18n.t('Enter Top K')}
+									bind:value={querySettings.k}
+									autocomplete="off"
+									min="0"
+								/>
+							</div>
+						</div>
+
+						{#if querySettings.hybrid === true}
+							<div class="mb-2.5 flex w-full justify-between">
+								<div class="self-center text-xs font-medium">{$i18n.t('Top K Reranker')}</div>
 								<div class="flex items-center relative">
 									<input
 										class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden"
 										type="number"
-										step="0.01"
-										placeholder={$i18n.t('Enter Score')}
-										bind:value={querySettings.r}
+										placeholder={$i18n.t('Enter Top K Reranker')}
+										bind:value={querySettings.k_reranker}
 										autocomplete="off"
-										min="0.0"
-										title={$i18n.t('The score should be a value between 0.0 (0%) and 1.0 (100%).')}
+										min="0"
 									/>
 								</div>
 							</div>
-							<div class="mt-1 text-xs text-gray-400 dark:text-gray-500">
-								{$i18n.t(
-									'Note: If you set a minimum score, the search will only return documents with a score greater than or equal to the minimum score.'
-								)}
+						{/if}
+
+						{#if querySettings.hybrid === true}
+							<div class="  mb-2.5 flex flex-col w-full justify-between">
+								<div class=" flex w-full justify-between">
+									<div class=" self-center text-xs font-medium">{$i18n.t('Minimum Score')}</div>
+									<div class="flex items-center relative">
+										<input
+											class="flex-1 w-full rounded-lg text-sm bg-transparent outline-hidden"
+											type="number"
+											step="0.01"
+											placeholder={$i18n.t('Enter Score')}
+											bind:value={querySettings.r}
+											autocomplete="off"
+											min="0.0"
+											title={$i18n.t(
+												'The score should be a value between 0.0 (0%) and 1.0 (100%).'
+											)}
+										/>
+									</div>
+								</div>
+								<div class="mt-1 text-xs text-gray-400 dark:text-gray-500">
+									{$i18n.t(
+										'Note: If you set a minimum score, the search will only return documents with a score greater than or equal to the minimum score.'
+									)}
+								</div>
 							</div>
-						</div>
+						{/if}
 					{/if}
 
 					<div class="  mb-2.5 flex flex-col w-full justify-between">