Merge branch 'dev' into vector-search-branch

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

@@ -32,7 +32,7 @@ jobs:
           node-version: '22'
 
       - name: Install Dependencies
-        run: npm install
+        run: npm install --force
 
       - name: Format Frontend
         run: npm run format
@@ -59,7 +59,7 @@ jobs:
           node-version: '22'
 
       - name: Install Dependencies
-        run: npm ci
+        run: npm ci --force
 
       - name: Run vitest
         run: npm run test:frontend

CHANGELOG.md

@@ -5,6 +5,118 @@ 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).
 
+## [0.6.18] - 2025-07-19
+
+### Fixed
+
+- 🚑 **Users Not Loading in Groups**: Resolved an issue where user list was not displaying within user groups, restoring full visibility and management of group memberships for teams and admins.
+
+## [0.6.17] - 2025-07-19
+
+### Added
+
+- 📂 **Dedicated Folder View with Chat List**: Clicking a folder now reveals a brand-new landing page showcasing a list of all chats within that folder, making navigation simpler and giving teams immediate visibility into project-specific conversations.
+- 🆕 **Streamlined Folder Creation Modal**: Creating a new folder is now a seamless, unified experience with a dedicated modal that visually and functionally matches the edit folder flow, making workspace organization more intuitive and error-free for all users.
+- 🗃️ **Direct File Uploads to Folder Knowledge**: You can now upload files straight to a folder’s knowledge—empowering you to enrich project spaces by adding resources and documents directly, without the need to pre-create knowledge bases beforehand.
+- 🔎 **Chat Preview in Search**: When searching chats, instantly preview results in context without having to open them—making discovery, auditing, and recall dramatically quicker, especially in large, active teams.
+- 🖼️ **Image Upload and Inline Insertion in Notes**: Notes now support inserting images directly among your text, letting you create rich, visually structured documentation, brainstorms, or reports in a more natural and engaging way—no more images just as attachments.
+- 📱 **Enhanced Note Selection Editing and Q&A**: Select any portion of your notes to either edit just the highlighted part or ask focused questions about that content—streamlining workflows, boosting productivity, and making reviews or AI-powered enhancements more targeted.
+- 📝 **Copy Notes as Rich Text**: Copy entire notes—including all formatting, images, and structure—directly as rich text for seamless pasting into emails, reports, or other tools, maintaining clarity and consistency outside the WebUI.
+- ⚡ **Fade-In Streaming Text Experience**: Live-generated responses now elegantly fade in as the AI streams them, creating a more natural and visually engaging reading experience; easily toggled off in Interface settings if you prefer static displays.
+- 🔄 **Settings for Follow-Up Prompts**: Fine-tune your follow-up prompt experience—with new controls, you can choose to keep them visible or have them inserted directly into the message input instead of auto-submitting, giving you more flexibility and control over your workflow.
+- 🔗 **Prompt Variable Documentation Quick Link**: Access documentation for prompt variables in one click from the prompt editor modal—shortening the learning curve and making advanced prompt-building more accessible.
+- 📈 **Active and Total User Metrics for Telemetry**: Gain valuable insights into usage patterns and platform engagement with new metrics tracking active and total users—enhancing auditability and planning for large organizations.
+- 🏷️ **Traceability with Log Trace and Span IDs**: Each log entry now carries detailed trace and span IDs, making it much easier for admins to pinpoint and resolve issues across distributed systems or in complex troubleshooting.
+- 👥 **User Group Add/Remove Endpoints**: Effortlessly add or remove users from groups with new, improved endpoints—giving admins and team leads faster, clearer control over collaboration and permissions.
+- ⚙️ **Note Settings and Controls Streamlined**: The main “Settings” for notes are now simply called “Controls”, and note files now reside in a dedicated controls section, decluttering navigation and making it easier to find and configure note-related options.
+- 🚀 **Faster Admin User Page Loads**: The user list endpoint for admins has been optimized to exclude heavy profile images, speeding up load times for large teams and reducing waiting during administrative tasks.
+- 📡 **Chat ID Header Forwarding**: Ollama and OpenAI router requests now include the chat ID in request headers, enabling better request correlation and debugging capabilities across AI model integrations.
+- 🧠 **Enhanced Reasoning Tag Processing**: Improved and expanded reasoning tag parsing to handle various tag formats more robustly, including standard XML-style tags and custom delimiters, ensuring better AI reasoning transparency and debugging capabilities.
+- 🔐 **OAuth Token Endpoint Authentication Method**: Added configurable OAuth token endpoint authentication method support, providing enhanced flexibility and security options for enterprise OAuth integrations and identity provider compatibility.
+- 🛡️ **Redis Sentinel High Availability Support**: Comprehensive Redis Sentinel failover implementation with automatic master discovery, intelligent retry logic for connection failures, and seamless operation during master node outages—eliminating single points of failure and ensuring continuous service availability in production deployments.
+- 🌐 **Localization & Internationalization Improvements**: Refined and expanded translations for Simplified Chinese, Traditional Chinese, French, German, Korean, and Polish, ensuring a more fluent and native experience for global users across all supported languages.
+
+### Fixed
+
+- 🏷️ **Hybrid Search Functionality Restored**: Hybrid search now works seamlessly again—enabling more accurate, relevant, and comprehensive knowledge discovery across all RAG-powered workflows.
+- 🚦 **Note Chat - Edit Button Disabled During AI Generation**: The edit button when chatting with a note is now disabled while the AI is responding—preventing accidental edits and ensuring workflow clarity during chat sessions.
+- 🧹 **Cleaner Database Credentials**: Database connection no longer duplicates ‘@’ in credentials, preventing potential connection issues and ensuring smoother, more reliable integrations.
+- 🧑‍💻 **File Deletion Now Removes Related Vector Data**: When files are deleted from storage, they are now purged from the vector database as well, ensuring clean data management and preventing clutter or stale search results.
+- 📁 **Files Modal Translation Issues Fixed**: All modal dialog strings—including “Using Entire Document” and “Using Focused Retrieval”—are now fully translated for a more consistent and localized UI experience.
+- 🚫 **Drag-and-Drop File Upload Disabled for Unsupported Models**: File upload by drag-and-drop is disabled when using models that do not support attachments—removing confusion and preventing workflow interruptions.
+- 🔑 **Ollama Tool Calls Now Reliable**: Fixed issues with Ollama-based tool calls, ensuring uninterrupted AI augmentation and tool use for every chat.
+- 📄 **MIME Type Help String Correction**: Cleaned up mimetype help text by removing extraneous characters, providing clearer guidance for file upload configurations.
+- 📝 **Note Editor Permission Fix**: Removed unnecessary admin-only restriction from note chat functionality, allowing all authorized users to access note editing features as intended.
+- 📋 **Chat Sources Handling Improved**: Fixed sources handling logic to prevent duplicate source assignments in chat messages, ensuring cleaner and more accurate source attribution during conversations.
+- 😀 **Emoji Generation Error Handling**: Improved error handling in audio router and fixed metadata structure for emoji generation tasks, preventing crashes and ensuring more reliable emoji generation functionality.
+- 🔒 **Folder System Prompt Permission Enforcement**: System prompt fields in folder edit modal are now properly hidden for users without system prompt permissions, ensuring consistent security policy enforcement across all folder management interfaces.
+- 🌐 **WebSocket Redis Lock Timeout Type Conversion**: Fixed proper integer type conversion for WebSocket Redis lock timeout configuration with robust error handling, preventing potential configuration errors and ensuring stable WebSocket connections.
+- 📦 **PostHog Dependency Added**: Added PostHog 5.4.0 library to resolve ChromaDB compatibility issues, ensuring stable vector database operations and preventing library version conflicts during deployment.
+
+### Changed
+
+- 👀 **Tiptap Editor Upgraded to v3**: The underlying rich text editor has been updated for future-proofing, though some supporting libraries remain on v2 for compatibility. For now, please install dependencies using 'npm install --force' to avoid installation errors.
+- 🚫 **Removed Redundant or Unused Strings and Elements**: Miscellaneous unused, duplicate, or obsolete code and translations have been cleaned up to maintain a streamlined and high-performance experience.
+
+## [0.6.16] - 2025-07-14
+
+### Added
+
+- 🗂️ **Folders as Projects**: Organize your workflow with folder-based projects—set folder-level system prompts and associate custom knowledge, bringing seamless, context-rich management to teams and users handling multiple initiatives or clients.
+- 📁 **Instant Folder-Based Chat Creation**: Start a new chat directly from any folder; just click and your new conversation is automatically embedded in the right project context—no more manual dragging or setup, saving time and eliminating mistakes.
+- 🧩 **Prompt Variables with Automatic Input Modal**: Prompts containing variables now display a clean, auto-generated input modal that **autofocuses on the first field** for instant value entry—just select the prompt and fill in exactly what’s needed, reducing friction and guesswork.
+- 🔡 **Variable Input Typing in Prompts**: Define input types for prompt variables (e.g., text, textarea, number, select, color, date, map and more), giving everyone a clearer and more precise prompt-building experience for advanced automation or workflows.
+- 🚀 **Base Model List Caching**: Cache your base model list to speed up model selection and reduce repeated API calls; toggle this in Admin Settings > Connections for responsive model management even in large or multi-provider setups.
+- ⏱️ **Configurable Model List Cache TTL**: Take control over model list caching with the new MODEL_LIST_CACHE_TTL environment variable. Set a custom cache duration in seconds to balance performance and freshness, reducing API requests in stable environments or ensuring rapid updates when models change frequently.
+- 🔖 **Reference Notes as Knowledge or in Chats**: Use any note as knowledge for a model or folder, or reference it directly from chat—integrate living documentation into your Retrieval Augmented Generation workflows or discussions, bridging knowledge and action.
+- 📝 **Chat Directly with Notes (Experimental)**: Ask questions about any note, and directly edit or update notes from within a chat—unlock direct AI-powered brainstorming, summarization, and cleanup, like having your own collaborative AI canvas.
+- 🤝 **Collaborative Notes with Multi-User Editing**: Share notes with others and collaborate live—multiple users can edit a note in real-time, boosting cooperative knowledge building and workflow documentation.
+- 🛡️ **Collaborative Note Permissions**: Control who can view or edit each note with robust sharing permissions, ensuring privacy or collaboration per your organizational needs.
+- 🔗 **Copy Link to Notes**: Quickly copy and share direct links to notes for easier knowledge transfer within your team or external collaborators.
+- 📋 **Task List Support in Notes**: Add, organize, and manage checklists or tasks inside your notes—plan projects, track to-dos, and keep everything actionable in a single space.
+- 🧠 **AI-Generated Note Titles**: Instantly generate relevant and concise titles for your notes using AI—keep your knowledge library organized without tedious manual editing.
+- 🔄 **Full Undo/Redo Support in Notes**: Effortlessly undo or redo your latest note changes—never fear mistakes or accidental edits while collaborating or writing.
+- 📝 **Enhanced Note Word/Character Counter**: Always know the size of your notes with built-in counters, making it easier to adhere to length guidelines for shared or published content.
+- 🖊️ **Floating & Bubble Formatting Menus in Note Editor**: Access text formatting tools through both a floating menu and an intuitive bubble menu directly in the note editor—making rich text editing faster, more discoverable, and easier than ever.
+- ✍️ **Rich Text Prompt Insertion**: A new setting allows prompts to be inserted directly into the chat box as fully-formatted rich text, preserving Markdown elements like headings, lists, and bold text for a more intuitive and visually consistent editing experience.
+- 🌐 **Configurable Database URL**: WebUI now supports more flexible database configuration via new environment variables—making deployment and scaling simpler across various infrastructure setups.
+- 🎛️ **Completely Frontend-Handled File Upload in Temporary Chats**: When using temporary chats, file extraction now occurs fully in your browser with zero files sent to the backend, further strengthening privacy and giving you instant feedback.
+- 🔄 **Enhanced Banner and Chat Command Visibility**: Banner handling and command feedback in chat are now clearer and more contextually visible, making alerts, suggestions, and automation easier to spot and interact with for all users.
+- 📱 **Mobile Experience Polished**: The "new chat" button is back in mobile, plus core navigation and input controls have been smoothed out for better usability on phones and tablets.
+- 📄 **OpenDocument Text (.odt) Support**: Seamlessly upload and process .odt files from open-source office suites like LibreOffice and OpenOffice, expanding your ability to build knowledge from a wider range of document formats.
+- 📑 **Enhanced Markdown Document Splitting**: Improve knowledge retrieval from Markdown files with a new header-aware splitting strategy. This method intelligently chunks documents based on their header structure, preserving the original context and hierarchy for more accurate and relevant RAG results.
+- 📚 **Full Context Mode for Knowledge Bases**: When adding a knowledge base to a folder or custom model, you can now toggle full context mode for the entire knowledge base. This bypasses the usual chunking and retrieval process, making it perfect for leaner knowledge bases.
+- 🕰️ **Configurable OAuth Timeout**: Enhance login reliability by setting a custom timeout (OAUTH_TIMEOUT) for all OAuth providers (Google, Microsoft, GitHub, OIDC), preventing authentication failures on slow or restricted networks.
+- 🎨 **Accessibility & High-Contrast Theme Enhancements**: Major accessibility overhaul with significant updates to the high-contrast theme. Improved focus visibility, ARIA labels, and semantic HTML ensure core components like the chat interface and model selector are fully compliant and readable for visually impaired users.
+- ↕️ **Resizable System Prompt Fields**: Conveniently resize system prompt input fields to comfortably view and edit lengthy or complex instructions, improving the user experience for advanced model configuration.
+- 🔧 **Granular Update Check Control**: Gain finer control over outbound connections with the new ENABLE_VERSION_UPDATE_CHECK flag. This allows administrators to disable version update checks independently of the full OFFLINE_MODE, perfect for environments with restricted internet access that still need to download embedding models.
+- 🗃️ **Configurable Qdrant Collection Prefix**: Enhance scalability by setting a custom QDRANT_COLLECTION_PREFIX. This allows multiple Open WebUI instances to share a single Qdrant cluster safely, ensuring complete data isolation between separate deployments without conflicts.
+- ⚙️ **Improved Default Database Performance**: Enhanced out-of-the-box performance by setting smarter database connection pooling defaults, reducing API response times for users on non-SQLite databases without requiring manual configuration.
+- 🔧 **Configurable Redis Key Prefix**: Added support for the REDIS_KEY_PREFIX environment variable, allowing multiple Open WebUI instances to share a Redis cluster with isolated key namespaces for improved multi-tenancy.
+- ➡️ **Forward User Context to Reranker**: For advanced RAG integrations, user information (ID, name, email, role) can now be forwarded as HTTP headers to external reranking services, enabling personalized results or per-user access control.
+- ⚙️ **PGVector Connection Pooling**: Enhance performance and stability for PGVector-based RAG by enabling and configuring the database connection pool. New environment variables allow fine-tuning of pool size, timeout, and overflow settings to handle high-concurrency workloads efficiently.
+- ⚙️ **General Backend Refactoring**: Extensive refactoring delivers a faster, more reliable, and robust backend experience—improving chat speed, model management, and day-to-day reliability.
+- 🌍 **Expanded & Improved Translations**: Enjoy a more accessible and intuitive experience thanks to comprehensive updates and enhancements for Chinese (Simplified and Traditional), German, French, Catalan, Irish, and Spanish translations throughout the interface.
+
+### Fixed
+
+- 🛠️ **Rich Text Input Stability and Performance**: Multiple improvements ensure faster, cleaner text editing and rendering with reduced glitches—especially supporting links, color picking, checkbox controls, and code blocks in notes and chats.
+- 📷 **Seamless iPhone Image Uploads**: Effortlessly upload photos from iPhones and other devices using HEIC format—images are now correctly recognized and processed, eliminating compatibility issues.
+- 🔄 **Audio MIME Type Registration**: Issues with audio file content types have been resolved, guaranteeing smoother, error-free uploads and playback for transcription or note attachments.
+- 🖍️ **Input Commands Now Always Visible**: Input commands (like prompts or knowledge) dynamically adjust their height on small screens, ensuring nothing is cut off and every tool remains easily accessible.
+- 🛑 **Tool Result Rendering**: Fixed display problems with tool results, providing fast, clear feedback when using external or internal tools.
+- 🗂️ **Table Alignment in Markdown**: Markdown tables are now rendered and aligned as expected, keeping reports and documentation readable.
+- 🖼️ **Thread Image Handling**: Fixed an issue where messages containing only images in threads weren’t displayed correctly.
+- 🗝️ **Note Access Control Security**: Tightened access control logic for notes to guarantee that shared or collaborative notes respect all user permissions and privacy safeguards.
+- 🧾 **Ollama API Compatibility**: Fixed model parameter naming in the API to ensure uninterrupted compatibility for all Ollama endpoints.
+- 🛠️ **Detection for 'text/html' Files**: Files loaded with docling/tika are now reliably detected as the correct type, improving knowledge ingestion and document parsing.
+- 🔐 **OAuth Login Stability**: Resolved a critical OAuth bug that caused login failures on subsequent attempts after logging out. The user session is now completely cleared on logout, ensuring reliable and secure authentication across all supported providers (Google, Microsoft, GitHub, OIDC).
+- 🚪 **OAuth Logout and Redirect Reliability**: The OAuth logout process has been made more robust. Logout requests now correctly use proxy environment variables, ensuring they succeed in corporate networks. Additionally, the custom WEBUI_AUTH_SIGNOUT_REDIRECT_URL is now properly respected for all OAuth/OIDC configurations, ensuring a seamless sign-out experience.
+- 📜 **Banner Newline Rendering**: Banners now correctly render newline characters, ensuring that multi-line announcements and messages are displayed with their intended formatting.
+- ℹ️ **Consistent Model Description Rendering**: Model descriptions now render Markdown correctly in the main chat interface, matching the formatting seen in the model selection dropdown for a consistent user experience.
+- 🔄 **Offline Mode Update Check Display**: Corrected a UI bug where the "Checking for Updates..." message would display indefinitely when the application was set to offline mode.
+- 🛠️ **Tool Result Encoding**: Fixed a bug where tool calls returning non-ASCII characters would fail, ensuring robust handling of international text and special characters in tool outputs.
+
 ## [0.6.15] - 2025-06-16
 
 ### Added

Dockerfile

@@ -30,7 +30,7 @@ WORKDIR /app
 RUN apk add --no-cache git
 
 COPY package.json package-lock.json ./
-RUN npm ci
+RUN npm ci --force
 
 COPY . .
 ENV APP_BUILD_HASH=${BUILD_HASH}

LICENSE_HISTORY

@@ -0,0 +1,53 @@
+All code and materials created before commit `60d84a3aae9802339705826e9095e272e3c83623` are subject to the following copyright and license:
+
+Copyright (c) 2023-2025 Timothy Jaeryang Baek
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+All code and materials created before commit `a76068d69cd59568b920dfab85dc573dbbb8f131` are subject to the following copyright and license:
+
+MIT License
+
+Copyright (c) 2023 Timothy Jaeryang Baek
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

backend/dev.sh

@@ -1,2 +1,3 @@
+export CORS_ALLOW_ORIGIN="http://localhost:5173"
 PORT="${PORT:-8080}"
 uvicorn open_webui.main:app --port $PORT --host 0.0.0.0 --forwarded-allow-ips '*' --reload

backend/open_webui/config.py

@@ -13,12 +13,15 @@ from urllib.parse import urlparse
 import requests
 from pydantic import BaseModel
 from sqlalchemy import JSON, Column, DateTime, Integer, func
+from authlib.integrations.starlette_client import OAuth
+
 
 from open_webui.env import (
     DATA_DIR,
     DATABASE_URL,
     ENV,
     REDIS_URL,
+    REDIS_KEY_PREFIX,
     REDIS_SENTINEL_HOSTS,
     REDIS_SENTINEL_PORT,
     FRONTEND_BUILD_DIR,
@@ -211,11 +214,16 @@ class PersistentConfig(Generic[T]):
 class AppConfig:
     _state: dict[str, PersistentConfig]
     _redis: Optional[redis.Redis] = None
+    _redis_key_prefix: str
 
     def __init__(
-        self, redis_url: Optional[str] = None, redis_sentinels: Optional[list] = []
+        self,
+        redis_url: Optional[str] = None,
+        redis_sentinels: Optional[list] = [],
+        redis_key_prefix: str = "open-webui",
     ):
         super().__setattr__("_state", {})
+        super().__setattr__("_redis_key_prefix", redis_key_prefix)
         if redis_url:
             super().__setattr__(
                 "_redis",
@@ -230,7 +238,7 @@ class AppConfig:
             self._state[key].save()
 
             if self._redis:
-                redis_key = f"open-webui:config:{key}"
+                redis_key = f"{self._redis_key_prefix}:config:{key}"
                 self._redis.set(redis_key, json.dumps(self._state[key].value))
 
     def __getattr__(self, key):
@@ -239,7 +247,7 @@ class AppConfig:
 
         # If Redis is available, check for an updated value
         if self._redis:
-            redis_key = f"open-webui:config:{key}"
+            redis_key = f"{self._redis_key_prefix}:config:{key}"
             redis_value = self._redis.get(redis_key)
 
             if redis_value is not None:
@@ -431,6 +439,18 @@ OAUTH_SCOPES = PersistentConfig(
     os.environ.get("OAUTH_SCOPES", "openid email profile"),
 )
 
+OAUTH_TIMEOUT = PersistentConfig(
+    "OAUTH_TIMEOUT",
+    "oauth.oidc.oauth_timeout",
+    os.environ.get("OAUTH_TIMEOUT", ""),
+)
+
+OAUTH_TOKEN_ENDPOINT_AUTH_METHOD = PersistentConfig(
+    "OAUTH_TOKEN_ENDPOINT_AUTH_METHOD",
+    "oauth.oidc.token_endpoint_auth_method",
+    os.environ.get("OAUTH_TOKEN_ENDPOINT_AUTH_METHOD", None),
+)
+
 OAUTH_CODE_CHALLENGE_METHOD = PersistentConfig(
     "OAUTH_CODE_CHALLENGE_METHOD",
     "oauth.oidc.code_challenge_method",
@@ -534,13 +554,20 @@ def load_oauth_providers():
     OAUTH_PROVIDERS.clear()
     if GOOGLE_CLIENT_ID.value and GOOGLE_CLIENT_SECRET.value:
 
-        def google_oauth_register(client):
+        def google_oauth_register(client: OAuth):
             client.register(
                 name="google",
                 client_id=GOOGLE_CLIENT_ID.value,
                 client_secret=GOOGLE_CLIENT_SECRET.value,
                 server_metadata_url="https://accounts.google.com/.well-known/openid-configuration",
-                client_kwargs={"scope": GOOGLE_OAUTH_SCOPE.value},
+                client_kwargs={
+                    "scope": GOOGLE_OAUTH_SCOPE.value,
+                    **(
+                        {"timeout": int(OAUTH_TIMEOUT.value)}
+                        if OAUTH_TIMEOUT.value
+                        else {}
+                    ),
+                },
                 redirect_uri=GOOGLE_REDIRECT_URI.value,
             )
 
@@ -555,7 +582,7 @@ def load_oauth_providers():
         and MICROSOFT_CLIENT_TENANT_ID.value
     ):
 
-        def microsoft_oauth_register(client):
+        def microsoft_oauth_register(client: OAuth):
             client.register(
                 name="microsoft",
                 client_id=MICROSOFT_CLIENT_ID.value,
@@ -563,6 +590,11 @@ def load_oauth_providers():
                 server_metadata_url=f"{MICROSOFT_CLIENT_LOGIN_BASE_URL.value}/{MICROSOFT_CLIENT_TENANT_ID.value}/v2.0/.well-known/openid-configuration?appid={MICROSOFT_CLIENT_ID.value}",
                 client_kwargs={
                     "scope": MICROSOFT_OAUTH_SCOPE.value,
+                    **(
+                        {"timeout": int(OAUTH_TIMEOUT.value)}
+                        if OAUTH_TIMEOUT.value
+                        else {}
+                    ),
                 },
                 redirect_uri=MICROSOFT_REDIRECT_URI.value,
             )
@@ -575,7 +607,7 @@ def load_oauth_providers():
 
     if GITHUB_CLIENT_ID.value and GITHUB_CLIENT_SECRET.value:
 
-        def github_oauth_register(client):
+        def github_oauth_register(client: OAuth):
             client.register(
                 name="github",
                 client_id=GITHUB_CLIENT_ID.value,
@@ -584,7 +616,14 @@ def load_oauth_providers():
                 authorize_url="https://github.com/login/oauth/authorize",
                 api_base_url="https://api.github.com",
                 userinfo_endpoint="https://api.github.com/user",
-                client_kwargs={"scope": GITHUB_CLIENT_SCOPE.value},
+                client_kwargs={
+                    "scope": GITHUB_CLIENT_SCOPE.value,
+                    **(
+                        {"timeout": int(OAUTH_TIMEOUT.value)}
+                        if OAUTH_TIMEOUT.value
+                        else {}
+                    ),
+                },
                 redirect_uri=GITHUB_CLIENT_REDIRECT_URI.value,
             )
 
@@ -600,9 +639,19 @@ def load_oauth_providers():
         and OPENID_PROVIDER_URL.value
     ):
 
-        def oidc_oauth_register(client):
+        def oidc_oauth_register(client: OAuth):
             client_kwargs = {
                 "scope": OAUTH_SCOPES.value,
+                **(
+                    {
+                        "token_endpoint_auth_method": OAUTH_TOKEN_ENDPOINT_AUTH_METHOD.value
+                    }
+                    if OAUTH_TOKEN_ENDPOINT_AUTH_METHOD.value
+                    else {}
+                ),
+                **(
+                    {"timeout": int(OAUTH_TIMEOUT.value)} if OAUTH_TIMEOUT.value else {}
+                ),
             }
 
             if (
@@ -640,6 +689,17 @@ load_oauth_providers()
 
 STATIC_DIR = Path(os.getenv("STATIC_DIR", OPEN_WEBUI_DIR / "static")).resolve()
 
+try:
+    if STATIC_DIR.exists():
+        for item in STATIC_DIR.iterdir():
+            if item.is_file() or item.is_symlink():
+                try:
+                    item.unlink()
+                except Exception as e:
+                    pass
+except Exception as e:
+    pass
+
 for file_path in (FRONTEND_BUILD_DIR / "static").glob("**/*"):
     if file_path.is_file():
         target_path = STATIC_DIR / file_path.relative_to(
@@ -719,12 +779,6 @@ if CUSTOM_NAME:
         pass
 
 
-####################################
-# LICENSE_KEY
-####################################
-
-LICENSE_KEY = os.environ.get("LICENSE_KEY", "")
-
 ####################################
 # STORAGE PROVIDER
 ####################################
@@ -895,6 +949,18 @@ except Exception:
     pass
 OPENAI_API_BASE_URL = "https://api.openai.com/v1"
 
+
+####################################
+# MODELS
+####################################
+
+ENABLE_BASE_MODELS_CACHE = PersistentConfig(
+    "ENABLE_BASE_MODELS_CACHE",
+    "models.base_models_cache",
+    os.environ.get("ENABLE_BASE_MODELS_CACHE", "False").lower() == "true",
+)
+
+
 ####################################
 # TOOL_SERVERS
 ####################################
@@ -1077,10 +1143,18 @@ USER_PERMISSIONS_CHAT_CONTROLS = (
     os.environ.get("USER_PERMISSIONS_CHAT_CONTROLS", "True").lower() == "true"
 )
 
+USER_PERMISSIONS_CHAT_VALVES = (
+    os.environ.get("USER_PERMISSIONS_CHAT_VALVES", "True").lower() == "true"
+)
+
 USER_PERMISSIONS_CHAT_SYSTEM_PROMPT = (
     os.environ.get("USER_PERMISSIONS_CHAT_SYSTEM_PROMPT", "True").lower() == "true"
 )
 
+USER_PERMISSIONS_CHAT_PARAMS = (
+    os.environ.get("USER_PERMISSIONS_CHAT_PARAMS", "True").lower() == "true"
+)
+
 USER_PERMISSIONS_CHAT_FILE_UPLOAD = (
     os.environ.get("USER_PERMISSIONS_CHAT_FILE_UPLOAD", "True").lower() == "true"
 )
@@ -1166,7 +1240,9 @@ DEFAULT_USER_PERMISSIONS = {
     },
     "chat": {
         "controls": USER_PERMISSIONS_CHAT_CONTROLS,
+        "valves": USER_PERMISSIONS_CHAT_VALVES,
         "system_prompt": USER_PERMISSIONS_CHAT_SYSTEM_PROMPT,
+        "params": USER_PERMISSIONS_CHAT_PARAMS,
         "file_upload": USER_PERMISSIONS_CHAT_FILE_UPLOAD,
         "delete": USER_PERMISSIONS_CHAT_DELETE,
         "edit": USER_PERMISSIONS_CHAT_EDIT,
@@ -1794,11 +1870,12 @@ MILVUS_IVF_FLAT_NLIST = int(os.environ.get("MILVUS_IVF_FLAT_NLIST", "128"))
 QDRANT_URI = os.environ.get("QDRANT_URI", None)
 QDRANT_API_KEY = os.environ.get("QDRANT_API_KEY", None)
 QDRANT_ON_DISK = os.environ.get("QDRANT_ON_DISK", "false").lower() == "true"
-QDRANT_PREFER_GRPC = os.environ.get("QDRANT_PREFER_GRPC", "False").lower() == "true"
+QDRANT_PREFER_GRPC = os.environ.get("QDRANT_PREFER_GRPC", "false").lower() == "true"
 QDRANT_GRPC_PORT = int(os.environ.get("QDRANT_GRPC_PORT", "6334"))
 ENABLE_QDRANT_MULTITENANCY_MODE = (
-    os.environ.get("ENABLE_QDRANT_MULTITENANCY_MODE", "false").lower() == "true"
+    os.environ.get("ENABLE_QDRANT_MULTITENANCY_MODE", "true").lower() == "true"
 )
+QDRANT_COLLECTION_PREFIX = os.environ.get("QDRANT_COLLECTION_PREFIX", "open-webui")
 
 # OpenSearch
 OPENSEARCH_URI = os.environ.get("OPENSEARCH_URI", "https://localhost:9200")
@@ -1837,6 +1914,45 @@ if PGVECTOR_PGCRYPTO and not PGVECTOR_PGCRYPTO_KEY:
         "PGVECTOR_PGCRYPTO is enabled but PGVECTOR_PGCRYPTO_KEY is not set. Please provide a valid key."
     )
 
+
+PGVECTOR_POOL_SIZE = os.environ.get("PGVECTOR_POOL_SIZE", None)
+
+if PGVECTOR_POOL_SIZE != None:
+    try:
+        PGVECTOR_POOL_SIZE = int(PGVECTOR_POOL_SIZE)
+    except Exception:
+        PGVECTOR_POOL_SIZE = None
+
+PGVECTOR_POOL_MAX_OVERFLOW = os.environ.get("PGVECTOR_POOL_MAX_OVERFLOW", 0)
+
+if PGVECTOR_POOL_MAX_OVERFLOW == "":
+    PGVECTOR_POOL_MAX_OVERFLOW = 0
+else:
+    try:
+        PGVECTOR_POOL_MAX_OVERFLOW = int(PGVECTOR_POOL_MAX_OVERFLOW)
+    except Exception:
+        PGVECTOR_POOL_MAX_OVERFLOW = 0
+
+PGVECTOR_POOL_TIMEOUT = os.environ.get("PGVECTOR_POOL_TIMEOUT", 30)
+
+if PGVECTOR_POOL_TIMEOUT == "":
+    PGVECTOR_POOL_TIMEOUT = 30
+else:
+    try:
+        PGVECTOR_POOL_TIMEOUT = int(PGVECTOR_POOL_TIMEOUT)
+    except Exception:
+        PGVECTOR_POOL_TIMEOUT = 30
+
+PGVECTOR_POOL_RECYCLE = os.environ.get("PGVECTOR_POOL_RECYCLE", 3600)
+
+if PGVECTOR_POOL_RECYCLE == "":
+    PGVECTOR_POOL_RECYCLE = 3600
+else:
+    try:
+        PGVECTOR_POOL_RECYCLE = int(PGVECTOR_POOL_RECYCLE)
+    except Exception:
+        PGVECTOR_POOL_RECYCLE = 3600
+
 # Pinecone
 PINECONE_API_KEY = os.environ.get("PINECONE_API_KEY", None)
 PINECONE_ENVIRONMENT = os.environ.get("PINECONE_ENVIRONMENT", None)

backend/open_webui/env.py

@@ -7,6 +7,7 @@ import sys
 import shutil
 from uuid import uuid4
 from pathlib import Path
+from cryptography.hazmat.primitives import serialization
 
 import markdown
 from bs4 import BeautifulSoup
@@ -199,6 +200,7 @@ CHANGELOG = changelog_json
 
 SAFE_MODE = os.environ.get("SAFE_MODE", "false").lower() == "true"
 
+
 ####################################
 # ENABLE_FORWARD_USER_INFO_HEADERS
 ####################################
@@ -266,21 +268,40 @@ else:
 
 DATABASE_URL = os.environ.get("DATABASE_URL", f"sqlite:///{DATA_DIR}/webui.db")
 
+DATABASE_TYPE = os.environ.get("DATABASE_TYPE")
+DATABASE_USER = os.environ.get("DATABASE_USER")
+DATABASE_PASSWORD = os.environ.get("DATABASE_PASSWORD")
+
+DATABASE_CRED = ""
+if DATABASE_USER:
+    DATABASE_CRED += f"{DATABASE_USER}"
+if DATABASE_PASSWORD:
+    DATABASE_CRED += f":{DATABASE_PASSWORD}"
+
+DB_VARS = {
+    "db_type": DATABASE_TYPE,
+    "db_cred": DATABASE_CRED,
+    "db_host": os.environ.get("DATABASE_HOST"),
+    "db_port": os.environ.get("DATABASE_PORT"),
+    "db_name": os.environ.get("DATABASE_NAME"),
+}
+
+if all(DB_VARS.values()):
+    DATABASE_URL = f"{DB_VARS['db_type']}://{DB_VARS['db_cred']}@{DB_VARS['db_host']}:{DB_VARS['db_port']}/{DB_VARS['db_name']}"
+
 # Replace the postgres:// with postgresql://
 if "postgres://" in DATABASE_URL:
     DATABASE_URL = DATABASE_URL.replace("postgres://", "postgresql://")
 
 DATABASE_SCHEMA = os.environ.get("DATABASE_SCHEMA", None)
 
-DATABASE_POOL_SIZE = os.environ.get("DATABASE_POOL_SIZE", 0)
+DATABASE_POOL_SIZE = os.environ.get("DATABASE_POOL_SIZE", None)
 
-if DATABASE_POOL_SIZE == "":
+if DATABASE_POOL_SIZE != None:
-    DATABASE_POOL_SIZE = 0
-else:
     try:
         DATABASE_POOL_SIZE = int(DATABASE_POOL_SIZE)
     except Exception:
-        DATABASE_POOL_SIZE = 0
+        DATABASE_POOL_SIZE = None
 
 DATABASE_POOL_MAX_OVERFLOW = os.environ.get("DATABASE_POOL_MAX_OVERFLOW", 0)
 
@@ -325,9 +346,19 @@ ENABLE_REALTIME_CHAT_SAVE = (
 ####################################
 
 REDIS_URL = os.environ.get("REDIS_URL", "")
+REDIS_KEY_PREFIX = os.environ.get("REDIS_KEY_PREFIX", "open-webui")
 REDIS_SENTINEL_HOSTS = os.environ.get("REDIS_SENTINEL_HOSTS", "")
 REDIS_SENTINEL_PORT = os.environ.get("REDIS_SENTINEL_PORT", "26379")
 
+# Maximum number of retries for Redis operations when using Sentinel fail-over
+REDIS_SENTINEL_MAX_RETRY_COUNT = os.environ.get("REDIS_SENTINEL_MAX_RETRY_COUNT", "2")
+try:
+    REDIS_SENTINEL_MAX_RETRY_COUNT = int(REDIS_SENTINEL_MAX_RETRY_COUNT)
+    if REDIS_SENTINEL_MAX_RETRY_COUNT < 1:
+        REDIS_SENTINEL_MAX_RETRY_COUNT = 2
+except ValueError:
+    REDIS_SENTINEL_MAX_RETRY_COUNT = 2
+
 ####################################
 # UVICORN WORKERS
 ####################################
@@ -347,6 +378,10 @@ except ValueError:
 ####################################
 
 WEBUI_AUTH = os.environ.get("WEBUI_AUTH", "True").lower() == "true"
+ENABLE_SIGNUP_PASSWORD_CONFIRMATION = (
+    os.environ.get("ENABLE_SIGNUP_PASSWORD_CONFIRMATION", "False").lower() == "true"
+)
+
 WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get(
     "WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None
 )
@@ -396,14 +431,71 @@ WEBUI_AUTH_COOKIE_SECURE = (
 if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
     raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND)
 
+ENABLE_COMPRESSION_MIDDLEWARE = (
+    os.environ.get("ENABLE_COMPRESSION_MIDDLEWARE", "True").lower() == "true"
+)
+
+
+####################################
+# LICENSE_KEY
+####################################
+
+LICENSE_KEY = os.environ.get("LICENSE_KEY", "")
+
+LICENSE_BLOB = None
+LICENSE_BLOB_PATH = os.environ.get("LICENSE_BLOB_PATH", DATA_DIR / "l.data")
+if LICENSE_BLOB_PATH and os.path.exists(LICENSE_BLOB_PATH):
+    with open(LICENSE_BLOB_PATH, "rb") as f:
+        LICENSE_BLOB = f.read()
+
+LICENSE_PUBLIC_KEY = os.environ.get("LICENSE_PUBLIC_KEY", "")
+
+pk = None
+if LICENSE_PUBLIC_KEY:
+    pk = serialization.load_pem_public_key(
+        f"""
+-----BEGIN PUBLIC KEY-----
+{LICENSE_PUBLIC_KEY}
+-----END PUBLIC KEY-----
+""".encode(
+            "utf-8"
+        )
+    )
+
+
+####################################
+# MODELS
+####################################
+
+MODELS_CACHE_TTL = os.environ.get("MODELS_CACHE_TTL", "1")
+if MODELS_CACHE_TTL == "":
+    MODELS_CACHE_TTL = None
+else:
+    try:
+        MODELS_CACHE_TTL = int(MODELS_CACHE_TTL)
+    except Exception:
+        MODELS_CACHE_TTL = 1
+
+
+####################################
+# WEBSOCKET SUPPORT
+####################################
+
 ENABLE_WEBSOCKET_SUPPORT = (
     os.environ.get("ENABLE_WEBSOCKET_SUPPORT", "True").lower() == "true"
 )
 
+
 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_redis_lock_timeout = os.environ.get("WEBSOCKET_REDIS_LOCK_TIMEOUT", "60")
+
+try:
+    WEBSOCKET_REDIS_LOCK_TIMEOUT = int(websocket_redis_lock_timeout)
+except ValueError:
+    WEBSOCKET_REDIS_LOCK_TIMEOUT = 60
 
 WEBSOCKET_SENTINEL_HOSTS = os.environ.get("WEBSOCKET_SENTINEL_HOSTS", "")
 
@@ -506,11 +598,14 @@ else:
 # OFFLINE_MODE
 ####################################
 
+ENABLE_VERSION_UPDATE_CHECK = (
+    os.environ.get("ENABLE_VERSION_UPDATE_CHECK", "true").lower() == "true"
+)
 OFFLINE_MODE = os.environ.get("OFFLINE_MODE", "false").lower() == "true"
 
 if OFFLINE_MODE:
     os.environ["HF_HUB_OFFLINE"] = "1"
-
+    ENABLE_VERSION_UPDATE_CHECK = False
 
 ####################################
 # AUDIT LOGGING
@@ -519,6 +614,14 @@ if OFFLINE_MODE:
 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")
+
+# Comma separated list of logger names to use for audit logging
+# Default is "uvicorn.access" which is the access log for Uvicorn
+# You can add more logger names to this list if you want to capture more logs
+AUDIT_UVICORN_LOGGER_NAMES = os.getenv(
+    "AUDIT_UVICORN_LOGGER_NAMES", "uvicorn.access"
+).split(",")
+
 # METADATA | REQUEST | REQUEST_RESPONSE
 AUDIT_LOG_LEVEL = os.getenv("AUDIT_LOG_LEVEL", "NONE").upper()
 try:
@@ -543,6 +646,9 @@ ENABLE_OTEL_METRICS = os.environ.get("ENABLE_OTEL_METRICS", "False").lower() ==
 OTEL_EXPORTER_OTLP_ENDPOINT = os.environ.get(
     "OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317"
 )
+OTEL_EXPORTER_OTLP_INSECURE = (
+    os.environ.get("OTEL_EXPORTER_OTLP_INSECURE", "False").lower() == "true"
+)
 OTEL_SERVICE_NAME = os.environ.get("OTEL_SERVICE_NAME", "open-webui")
 OTEL_RESOURCE_ATTRIBUTES = os.environ.get(
     "OTEL_RESOURCE_ATTRIBUTES", ""
@@ -550,6 +656,14 @@ OTEL_RESOURCE_ATTRIBUTES = os.environ.get(
 OTEL_TRACES_SAMPLER = os.environ.get(
     "OTEL_TRACES_SAMPLER", "parentbased_always_on"
 ).lower()
+OTEL_BASIC_AUTH_USERNAME = os.environ.get("OTEL_BASIC_AUTH_USERNAME", "")
+OTEL_BASIC_AUTH_PASSWORD = os.environ.get("OTEL_BASIC_AUTH_PASSWORD", "")
+
+
+OTEL_OTLP_SPAN_EXPORTER = os.environ.get(
+    "OTEL_OTLP_SPAN_EXPORTER", "grpc"
+).lower()  # grpc or http
+
 
 ####################################
 # TOOLS/FUNCTIONS PIP OPTIONS

backend/open_webui/internal/db.py

@@ -62,6 +62,9 @@ def handle_peewee_migration(DATABASE_URL):
 
     except Exception as e:
         log.error(f"Failed to initialize the database connection: {e}")
+        log.warning(
+            "Hint: If your database password contains special characters, you may need to URL-encode it."
+        )
         raise
     finally:
         # Properly closing the database connection
@@ -81,6 +84,7 @@ if "sqlite" in SQLALCHEMY_DATABASE_URL:
         SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
     )
 else:
+    if isinstance(DATABASE_POOL_SIZE, int):
         if DATABASE_POOL_SIZE > 0:
             engine = create_engine(
                 SQLALCHEMY_DATABASE_URL,
@@ -95,6 +99,8 @@ else:
             engine = create_engine(
                 SQLALCHEMY_DATABASE_URL, pool_pre_ping=True, poolclass=NullPool
             )
+    else:
+        engine = create_engine(SQLALCHEMY_DATABASE_URL, pool_pre_ping=True)
 
 
 SessionLocal = sessionmaker(

backend/open_webui/main.py

@@ -36,7 +36,6 @@ from fastapi import (
     applications,
     BackgroundTasks,
 )
-
 from fastapi.openapi.docs import get_swagger_ui_html
 
 from fastapi.middleware.cors import CORSMiddleware
@@ -49,6 +48,7 @@ from starlette.exceptions import HTTPException as StarletteHTTPException
 from starlette.middleware.base import BaseHTTPMiddleware
 from starlette.middleware.sessions import SessionMiddleware
 from starlette.responses import Response, StreamingResponse
+from starlette.datastructures import Headers
 
 
 from open_webui.utils import logger
@@ -89,6 +89,7 @@ from open_webui.routers import (
 
 from open_webui.routers.retrieval import (
     get_embedding_function,
+    get_reranking_function,
     get_ef,
     get_rf,
 )
@@ -101,7 +102,6 @@ from open_webui.models.users import UserModel, Users
 from open_webui.models.chats import Chats
 
 from open_webui.config import (
-    LICENSE_KEY,
     # Ollama
     ENABLE_OLLAMA_API,
     OLLAMA_BASE_URLS,
@@ -116,6 +116,8 @@ from open_webui.config import (
     OPENAI_API_CONFIGS,
     # Direct Connections
     ENABLE_DIRECT_CONNECTIONS,
+    # Model list
+    ENABLE_BASE_MODELS_CACHE,
     # Thread pool size for FastAPI/AnyIO
     THREAD_POOL_SIZE,
     # Tool Server Configs
@@ -392,10 +394,12 @@ from open_webui.config import (
     reset_config,
 )
 from open_webui.env import (
+    LICENSE_KEY,
     AUDIT_EXCLUDED_PATHS,
     AUDIT_LOG_LEVEL,
     CHANGELOG,
     REDIS_URL,
+    REDIS_KEY_PREFIX,
     REDIS_SENTINEL_HOSTS,
     REDIS_SENTINEL_PORT,
     GLOBAL_LOG_LEVEL,
@@ -408,13 +412,15 @@ from open_webui.env import (
     WEBUI_SECRET_KEY,
     WEBUI_SESSION_COOKIE_SAME_SITE,
     WEBUI_SESSION_COOKIE_SECURE,
+    ENABLE_SIGNUP_PASSWORD_CONFIRMATION,
     WEBUI_AUTH_TRUSTED_EMAIL_HEADER,
     WEBUI_AUTH_TRUSTED_NAME_HEADER,
     WEBUI_AUTH_SIGNOUT_REDIRECT_URL,
+    ENABLE_COMPRESSION_MIDDLEWARE,
     ENABLE_WEBSOCKET_SUPPORT,
     BYPASS_MODEL_ACCESS_CONTROL,
     RESET_CONFIG_ON_START,
-    OFFLINE_MODE,
+    ENABLE_VERSION_UPDATE_CHECK,
     ENABLE_OTEL,
     EXTERNAL_PWA_MANIFEST_URL,
     AIOHTTP_CLIENT_SESSION_SSL,
@@ -449,7 +455,7 @@ from open_webui.utils.redis import get_redis_connection
 
 from open_webui.tasks import (
     redis_task_command_listener,
-    list_task_ids_by_chat_id,
+    list_task_ids_by_item_id,
     stop_task,
     list_tasks,
 )  # Import from tasks.py
@@ -533,6 +539,27 @@ async def lifespan(app: FastAPI):
 
     asyncio.create_task(periodic_usage_pool_cleanup())
 
+    if app.state.config.ENABLE_BASE_MODELS_CACHE:
+        await get_all_models(
+            Request(
+                # Creating a mock request object to pass to get_all_models
+                {
+                    "type": "http",
+                    "asgi.version": "3.0",
+                    "asgi.spec_version": "2.0",
+                    "method": "GET",
+                    "path": "/internal",
+                    "query_string": b"",
+                    "headers": Headers({}).raw,
+                    "client": ("127.0.0.1", 12345),
+                    "server": ("127.0.0.1", 80),
+                    "scheme": "http",
+                    "app": app,
+                }
+            ),
+            None,
+        )
+
     yield
 
     if hasattr(app.state, "redis_task_command_listener"):
@@ -553,6 +580,7 @@ app.state.instance_id = None
 app.state.config = AppConfig(
     redis_url=REDIS_URL,
     redis_sentinels=get_sentinels_from_env(REDIS_SENTINEL_HOSTS, REDIS_SENTINEL_PORT),
+    redis_key_prefix=REDIS_KEY_PREFIX,
 )
 app.state.redis = None
 
@@ -615,6 +643,15 @@ app.state.TOOL_SERVERS = []
 
 app.state.config.ENABLE_DIRECT_CONNECTIONS = ENABLE_DIRECT_CONNECTIONS
 
+########################################
+#
+# MODELS
+#
+########################################
+
+app.state.config.ENABLE_BASE_MODELS_CACHE = ENABLE_BASE_MODELS_CACHE
+app.state.BASE_MODELS = []
+
 ########################################
 #
 # WEBUI
@@ -843,6 +880,7 @@ 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.RERANKING_FUNCTION = None
 app.state.ef = None
 app.state.rf = None
 
@@ -871,8 +909,8 @@ except Exception as e:
 app.state.EMBEDDING_FUNCTION = get_embedding_function(
     app.state.config.RAG_EMBEDDING_ENGINE,
     app.state.config.RAG_EMBEDDING_MODEL,
-    app.state.ef,
+    embedding_function=app.state.ef,
-    (
+    url=(
         app.state.config.RAG_OPENAI_API_BASE_URL
         if app.state.config.RAG_EMBEDDING_ENGINE == "openai"
         else (
@@ -881,7 +919,7 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
             else app.state.config.RAG_AZURE_OPENAI_BASE_URL
         )
     ),
-    (
+    key=(
         app.state.config.RAG_OPENAI_API_KEY
         if app.state.config.RAG_EMBEDDING_ENGINE == "openai"
         else (
@@ -890,7 +928,7 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
             else app.state.config.RAG_AZURE_OPENAI_API_KEY
         )
     ),
-    app.state.config.RAG_EMBEDDING_BATCH_SIZE,
+    embedding_batch_size=app.state.config.RAG_EMBEDDING_BATCH_SIZE,
     azure_api_version=(
         app.state.config.RAG_AZURE_OPENAI_API_VERSION
         if app.state.config.RAG_EMBEDDING_ENGINE == "azure_openai"
@@ -898,6 +936,12 @@ app.state.EMBEDDING_FUNCTION = get_embedding_function(
     ),
 )
 
+app.state.RERANKING_FUNCTION = get_reranking_function(
+    app.state.config.RAG_RERANKING_ENGINE,
+    app.state.config.RAG_RERANKING_MODEL,
+    reranking_function=app.state.rf,
+)
+
 ########################################
 #
 # CODE EXECUTION
@@ -1072,7 +1116,9 @@ class RedirectMiddleware(BaseHTTPMiddleware):
 
 
 # Add the middleware to the app
+if ENABLE_COMPRESSION_MIDDLEWARE:
     app.add_middleware(CompressMiddleware)
+
 app.add_middleware(RedirectMiddleware)
 app.add_middleware(SecurityHeadersMiddleware)
 
@@ -1188,7 +1234,9 @@ if audit_level != AuditLevel.NONE:
 
 
 @app.get("/api/models")
-async def get_models(request: Request, user=Depends(get_verified_user)):
+async def get_models(
+    request: Request, refresh: bool = False, user=Depends(get_verified_user)
+):
     def get_filtered_models(models, user):
         filtered_models = []
         for model in models:
@@ -1212,7 +1260,7 @@ async def get_models(request: Request, user=Depends(get_verified_user)):
 
         return filtered_models
 
-    all_models = await get_all_models(request, user=user)
+    all_models = await get_all_models(request, refresh=refresh, user=user)
 
     models = []
     for model in all_models:
@@ -1249,7 +1297,7 @@ async def get_models(request: Request, user=Depends(get_verified_user)):
         models = get_filtered_models(models, user)
 
     log.debug(
-        f"/api/models returned filtered models accessible to the user: {json.dumps([model['id'] for model in models])}"
+        f"/api/models returned filtered models accessible to the user: {json.dumps([model.get('id') for model in models])}"
     )
     return {"data": models}
 
@@ -1357,7 +1405,6 @@ async def chat_completion(
         form_data, metadata, events = await process_chat_payload(
             request, form_data, user, metadata, model
         )
-
     except Exception as e:
         log.debug(f"Error processing chat payload: {e}")
         if metadata.get("chat_id") and metadata.get("message_id"):
@@ -1377,6 +1424,14 @@ async def chat_completion(
 
     try:
         response = await chat_completion_handler(request, form_data, user)
+        if metadata.get("chat_id") and metadata.get("message_id"):
+            Chats.upsert_message_to_chat_by_id_and_message_id(
+                metadata["chat_id"],
+                metadata["message_id"],
+                {
+                    "model": model_id,
+                },
+            )
 
         return await process_chat_response(
             request, response, form_data, user, metadata, model, events, tasks
@@ -1447,7 +1502,7 @@ async def stop_task_endpoint(
     request: Request, task_id: str, user=Depends(get_verified_user)
 ):
     try:
-        result = await stop_task(request, task_id)
+        result = await stop_task(request.app.state.redis, task_id)
         return result
     except ValueError as e:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
@@ -1455,7 +1510,7 @@ async def stop_task_endpoint(
 
 @app.get("/api/tasks")
 async def list_tasks_endpoint(request: Request, user=Depends(get_verified_user)):
-    return {"tasks": await list_tasks(request)}
+    return {"tasks": await list_tasks(request.app.state.redis)}
 
 
 @app.get("/api/tasks/chat/{chat_id}")
@@ -1466,9 +1521,9 @@ async def list_tasks_by_chat_id_endpoint(
     if chat is None or chat.user_id != user.id:
         return {"task_ids": []}
 
-    task_ids = await list_task_ids_by_chat_id(request, chat_id)
+    task_ids = await list_task_ids_by_item_id(request.app.state.redis, chat_id)
 
-    print(f"Task IDs for chat {chat_id}: {task_ids}")
+    log.debug(f"Task IDs for chat {chat_id}: {task_ids}")
     return {"task_ids": task_ids}
 
 
@@ -1516,11 +1571,13 @@ async def get_app_config(request: Request):
         "features": {
             "auth": WEBUI_AUTH,
             "auth_trusted_header": bool(app.state.AUTH_TRUSTED_EMAIL_HEADER),
+            "enable_signup_password_confirmation": ENABLE_SIGNUP_PASSWORD_CONFIRMATION,
             "enable_ldap": app.state.config.ENABLE_LDAP,
             "enable_api_key": app.state.config.ENABLE_API_KEY,
             "enable_signup": app.state.config.ENABLE_SIGNUP,
             "enable_login_form": app.state.config.ENABLE_LOGIN_FORM,
             "enable_websocket": ENABLE_WEBSOCKET_SUPPORT,
+            "enable_version_update_check": ENABLE_VERSION_UPDATE_CHECK,
             **(
                 {
                     "enable_direct_connections": app.state.config.ENABLE_DIRECT_CONNECTIONS,
@@ -1593,8 +1650,23 @@ async def get_app_config(request: Request):
                     else {}
                 ),
             }
-            if user is not None
+            if user is not None and (user.role in ["admin", "user"])
+            else {
+                **(
+                    {
+                        "metadata": {
+                            "login_footer": app.state.LICENSE_METADATA.get(
+                                "login_footer", ""
+                            ),
+                            "auth_logo_position": app.state.LICENSE_METADATA.get(
+                                "auth_logo_position", ""
+                            ),
+                        }
+                    }
+                    if app.state.LICENSE_METADATA
                     else {}
+                )
+            }
         ),
     }
 
@@ -1626,9 +1698,9 @@ async def get_app_version():
 
 @app.get("/api/version/updates")
 async def get_app_latest_release_version(user=Depends(get_verified_user)):
-    if OFFLINE_MODE:
+    if not ENABLE_VERSION_UPDATE_CHECK:
         log.debug(
-            f"Offline mode is enabled, returning current version as latest version"
+            f"Version update check is disabled, returning current version as latest version"
         )
         return {"current": VERSION, "latest": VERSION}
     try:
@@ -1709,7 +1781,6 @@ async def get_manifest_json():
             "start_url": "/",
             "display": "standalone",
             "background_color": "#343541",
-            "orientation": "any",
             "icons": [
                 {
                     "src": "/static/logo.png",

backend/open_webui/migrations/versions/d31026856c01_update_folder_table_data.py

@@ -0,0 +1,23 @@
+"""Update folder table data
+
+Revision ID: d31026856c01
+Revises: 9f0c9cd09105
+Create Date: 2025-07-13 03:00:00.000000
+
+"""
+
+from alembic import op
+import sqlalchemy as sa
+
+revision = "d31026856c01"
+down_revision = "9f0c9cd09105"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    op.add_column("folder", sa.Column("data", sa.JSON(), nullable=True))
+
+
+def downgrade():
+    op.drop_column("folder", "data")

backend/open_webui/models/chats.py

@@ -12,6 +12,7 @@ from pydantic import BaseModel, ConfigDict
 from sqlalchemy import BigInteger, Boolean, Column, String, Text, JSON
 from sqlalchemy import or_, func, select, and_, text
 from sqlalchemy.sql import exists
+from sqlalchemy.sql.expression import bindparam
 
 ####################
 # Chat DB Schema
@@ -66,12 +67,14 @@ class ChatModel(BaseModel):
 
 class ChatForm(BaseModel):
     chat: dict
+    folder_id: Optional[str] = None
 
 
 class ChatImportForm(ChatForm):
     meta: Optional[dict] = {}
     pinned: Optional[bool] = False
-    folder_id: Optional[str] = None
+    created_at: Optional[int] = None
+    updated_at: Optional[int] = None
 
 
 class ChatTitleMessagesForm(BaseModel):
@@ -118,6 +121,7 @@ class ChatTable:
                         else "New Chat"
                     ),
                     "chat": form_data.chat,
+                    "folder_id": form_data.folder_id,
                     "created_at": int(time.time()),
                     "updated_at": int(time.time()),
                 }
@@ -147,8 +151,16 @@ class ChatTable:
                     "meta": form_data.meta,
                     "pinned": form_data.pinned,
                     "folder_id": form_data.folder_id,
-                    "created_at": int(time.time()),
+                    "created_at": (
-                    "updated_at": int(time.time()),
+                        form_data.created_at
+                        if form_data.created_at
+                        else int(time.time())
+                    ),
+                    "updated_at": (
+                        form_data.updated_at
+                        if form_data.updated_at
+                        else int(time.time())
+                    ),
                 }
             )
 
@@ -232,6 +244,10 @@ class ChatTable:
         if chat is None:
             return None
 
+        # Sanitize message content for null characters before upserting
+        if isinstance(message.get("content"), str):
+            message["content"] = message["content"].replace("\x00", "")
+
         chat = chat.chat
         history = chat.get("history", {})
 
@@ -580,7 +596,7 @@ class ChatTable:
         """
         Filters chats based on a search query using Python, allowing pagination using skip and limit.
         """
-        search_text = search_text.lower().strip()
+        search_text = search_text.replace("\u0000", "").lower().strip()
 
         if not search_text:
             return self.get_chat_list_by_user_id(
@@ -614,21 +630,18 @@ class ChatTable:
             dialect_name = db.bind.dialect.name
             if dialect_name == "sqlite":
                 # SQLite case: using JSON1 extension for JSON searching
+                sqlite_content_sql = (
+                    "EXISTS ("
+                    "    SELECT 1 "
+                    "    FROM json_each(Chat.chat, '$.messages') AS message "
+                    "    WHERE LOWER(message.value->>'content') LIKE '%' || :content_key || '%'"
+                    ")"
+                )
+                sqlite_content_clause = text(sqlite_content_sql)
                 query = query.filter(
-                    (
+                    or_(
-                        Chat.title.ilike(
+                        Chat.title.ilike(bindparam("title_key")), sqlite_content_clause
-                            f"%{search_text}%"
+                    ).params(title_key=f"%{search_text}%", content_key=search_text)
-                        )  # Case-insensitive search in title
-                        | text(
-                            """
-                            EXISTS (
-                                SELECT 1 
-                                FROM json_each(Chat.chat, '$.messages') AS message 
-                                WHERE LOWER(message.value->>'content') LIKE '%' || :search_text || '%'
-                            )
-                            """
-                        )
-                    ).params(search_text=search_text)
                 )
 
                 # Check if there are any tags to filter, it should have all the tags
@@ -663,21 +676,19 @@ class ChatTable:
 
             elif dialect_name == "postgresql":
                 # PostgreSQL relies on proper JSON query for search
+                postgres_content_sql = (
+                    "EXISTS ("
+                    "    SELECT 1 "
+                    "    FROM json_array_elements(Chat.chat->'messages') AS message "
+                    "    WHERE LOWER(message->>'content') LIKE '%' || :content_key || '%'"
+                    ")"
+                )
+                postgres_content_clause = text(postgres_content_sql)
                 query = query.filter(
-                    (
+                    or_(
-                        Chat.title.ilike(
+                        Chat.title.ilike(bindparam("title_key")),
-                            f"%{search_text}%"
+                        postgres_content_clause,
-                        )  # Case-insensitive search in title
+                    ).params(title_key=f"%{search_text}%", content_key=search_text)
-                        | text(
-                            """
-                            EXISTS (
-                                SELECT 1
-                                FROM json_array_elements(Chat.chat->'messages') AS message
-                                WHERE LOWER(message->>'content') LIKE '%' || :search_text || '%'
-                            )
-                            """
-                        )
-                    ).params(search_text=search_text)
                 )
 
                 # Check if there are any tags to filter, it should have all the tags

backend/open_webui/models/folders.py

@@ -29,6 +29,7 @@ class Folder(Base):
     name = Column(Text)
     items = Column(JSON, nullable=True)
     meta = Column(JSON, nullable=True)
+    data = Column(JSON, nullable=True)
     is_expanded = Column(Boolean, default=False)
     created_at = Column(BigInteger)
     updated_at = Column(BigInteger)
@@ -41,6 +42,7 @@ class FolderModel(BaseModel):
     name: str
     items: Optional[dict] = None
     meta: Optional[dict] = None
+    data: Optional[dict] = None
     is_expanded: bool = False
     created_at: int
     updated_at: int
@@ -55,12 +57,13 @@ class FolderModel(BaseModel):
 
 class FolderForm(BaseModel):
     name: str
+    data: Optional[dict] = None
     model_config = ConfigDict(extra="allow")
 
 
 class FolderTable:
     def insert_new_folder(
-        self, user_id: str, name: str, parent_id: Optional[str] = None
+        self, user_id: str, form_data: FolderForm, parent_id: Optional[str] = None
     ) -> Optional[FolderModel]:
         with get_db() as db:
             id = str(uuid.uuid4())
@@ -68,7 +71,7 @@ class FolderTable:
                 **{
                     "id": id,
                     "user_id": user_id,
-                    "name": name,
+                    **(form_data.model_dump(exclude_unset=True) or {}),
                     "parent_id": parent_id,
                     "created_at": int(time.time()),
                     "updated_at": int(time.time()),
@@ -187,8 +190,8 @@ class FolderTable:
             log.error(f"update_folder: {e}")
             return
 
-    def update_folder_name_by_id_and_user_id(
+    def update_folder_by_id_and_user_id(
-        self, id: str, user_id: str, name: str
+        self, id: str, user_id: str, form_data: FolderForm
     ) -> Optional[FolderModel]:
         try:
             with get_db() as db:
@@ -197,16 +200,28 @@ class FolderTable:
                 if not folder:
                     return None
 
+                form_data = form_data.model_dump(exclude_unset=True)
+
                 existing_folder = (
                     db.query(Folder)
-                    .filter_by(name=name, parent_id=folder.parent_id, user_id=user_id)
+                    .filter_by(
+                        name=form_data.get("name"),
+                        parent_id=folder.parent_id,
+                        user_id=user_id,
+                    )
                     .first()
                 )
 
-                if existing_folder:
+                if existing_folder and existing_folder.id != id:
                     return None
 
-                folder.name = name
+                folder.name = form_data.get("name", folder.name)
+                if "data" in form_data:
+                    folder.data = {
+                        **(folder.data or {}),
+                        **form_data["data"],
+                    }
+
                 folder.updated_at = int(time.time())
 
                 db.commit()

backend/open_webui/models/groups.py

@@ -83,10 +83,14 @@ class GroupForm(BaseModel):
     permissions: Optional[dict] = None
 
 
-class GroupUpdateForm(GroupForm):
+class UserIdsForm(BaseModel):
     user_ids: Optional[list[str]] = None
 
 
+class GroupUpdateForm(GroupForm, UserIdsForm):
+    pass
+
+
 class GroupTable:
     def insert_new_group(
         self, user_id: str, form_data: GroupForm
@@ -275,5 +279,53 @@ class GroupTable:
                 log.exception(e)
                 return False
 
+    def add_users_to_group(
+        self, id: str, user_ids: Optional[list[str]] = None
+    ) -> Optional[GroupModel]:
+        try:
+            with get_db() as db:
+                group = db.query(Group).filter_by(id=id).first()
+                if not group:
+                    return None
+
+                if not group.user_ids:
+                    group.user_ids = []
+
+                for user_id in user_ids:
+                    if user_id not in group.user_ids:
+                        group.user_ids.append(user_id)
+
+                group.updated_at = int(time.time())
+                db.commit()
+                db.refresh(group)
+                return GroupModel.model_validate(group)
+        except Exception as e:
+            log.exception(e)
+            return None
+
+    def remove_users_from_group(
+        self, id: str, user_ids: Optional[list[str]] = None
+    ) -> Optional[GroupModel]:
+        try:
+            with get_db() as db:
+                group = db.query(Group).filter_by(id=id).first()
+                if not group:
+                    return None
+
+                if not group.user_ids:
+                    return GroupModel.model_validate(group)
+
+                for user_id in user_ids:
+                    if user_id in group.user_ids:
+                        group.user_ids.remove(user_id)
+
+                group.updated_at = int(time.time())
+                db.commit()
+                db.refresh(group)
+                return GroupModel.model_validate(group)
+        except Exception as e:
+            log.exception(e)
+            return None
+
 
 Groups = GroupTable()

backend/open_webui/models/memories.py

@@ -71,9 +71,13 @@ class MemoriesTable:
     ) -> Optional[MemoryModel]:
         with get_db() as db:
             try:
-                db.query(Memory).filter_by(id=id, user_id=user_id).update(
+                memory = db.get(Memory, id)
-                    {"content": content, "updated_at": int(time.time())}
+                if not memory or memory.user_id != user_id:
-                )
+                    return None
+
+                memory.content = content
+                memory.updated_at = int(time.time())
+
                 db.commit()
                 return self.get_memory_by_id(id)
             except Exception:
@@ -127,7 +131,12 @@ class MemoriesTable:
     def delete_memory_by_id_and_user_id(self, id: str, user_id: str) -> bool:
         with get_db() as db:
             try:
-                db.query(Memory).filter_by(id=id, user_id=user_id).delete()
+                memory = db.get(Memory, id)
+                if not memory or memory.user_id != user_id:
+                    return None
+
+                # Delete the memory
+                db.delete(memory)
                 db.commit()
 
                 return True

backend/open_webui/models/models.py

@@ -269,5 +269,49 @@ class ModelsTable:
         except Exception:
             return False
 
+    def sync_models(self, user_id: str, models: list[ModelModel]) -> list[ModelModel]:
+        try:
+            with get_db() as db:
+                # Get existing models
+                existing_models = db.query(Model).all()
+                existing_ids = {model.id for model in existing_models}
+
+                # Prepare a set of new model IDs
+                new_model_ids = {model.id for model in models}
+
+                # Update or insert models
+                for model in models:
+                    if model.id in existing_ids:
+                        db.query(Model).filter_by(id=model.id).update(
+                            {
+                                **model.model_dump(),
+                                "user_id": user_id,
+                                "updated_at": int(time.time()),
+                            }
+                        )
+                    else:
+                        new_model = Model(
+                            **{
+                                **model.model_dump(),
+                                "user_id": user_id,
+                                "updated_at": int(time.time()),
+                            }
+                        )
+                        db.add(new_model)
+
+                # Remove models that are no longer present
+                for model in existing_models:
+                    if model.id not in new_model_ids:
+                        db.delete(model)
+
+                db.commit()
+
+                return [
+                    ModelModel.model_validate(model) for model in db.query(Model).all()
+                ]
+        except Exception as e:
+            log.exception(f"Error syncing models for user {user_id}: {e}")
+            return []
+
 
 Models = ModelsTable()

backend/open_webui/models/notes.py

@@ -62,6 +62,13 @@ class NoteForm(BaseModel):
     access_control: Optional[dict] = None
 
 
+class NoteUpdateForm(BaseModel):
+    title: Optional[str] = None
+    data: Optional[dict] = None
+    meta: Optional[dict] = None
+    access_control: Optional[dict] = None
+
+
 class NoteUserResponse(NoteModel):
     user: Optional[UserResponse] = None
 
@@ -110,16 +117,26 @@ class NoteTable:
             note = db.query(Note).filter(Note.id == id).first()
             return NoteModel.model_validate(note) if note else None
 
-    def update_note_by_id(self, id: str, form_data: NoteForm) -> Optional[NoteModel]:
+    def update_note_by_id(
+        self, id: str, form_data: NoteUpdateForm
+    ) -> Optional[NoteModel]:
         with get_db() as db:
             note = db.query(Note).filter(Note.id == id).first()
             if not note:
                 return None
 
-            note.title = form_data.title
+            form_data = form_data.model_dump(exclude_unset=True)
-            note.data = form_data.data
+
-            note.meta = form_data.meta
+            if "title" in form_data:
-            note.access_control = form_data.access_control
+                note.title = form_data["title"]
+            if "data" in form_data:
+                note.data = {**note.data, **form_data["data"]}
+            if "meta" in form_data:
+                note.meta = {**note.meta, **form_data["meta"]}
+
+            if "access_control" in form_data:
+                note.access_control = form_data["access_control"]
+
             note.updated_at = int(time.time_ns())
 
             db.commit()

backend/open_webui/models/users.py

@@ -74,6 +74,18 @@ class UserListResponse(BaseModel):
     total: int
 
 
+class UserInfoResponse(BaseModel):
+    id: str
+    name: str
+    email: str
+    role: str
+
+
+class UserInfoListResponse(BaseModel):
+    users: list[UserInfoResponse]
+    total: int
+
+
 class UserResponse(BaseModel):
     id: str
     name: str

backend/open_webui/retrieval/loaders/main.py

@@ -14,7 +14,7 @@ from langchain_community.document_loaders import (
     TextLoader,
     UnstructuredEPubLoader,
     UnstructuredExcelLoader,
-    UnstructuredMarkdownLoader,
+    UnstructuredODTLoader,
     UnstructuredPowerPointLoader,
     UnstructuredRSTLoader,
     UnstructuredXMLLoader,
@@ -181,7 +181,7 @@ class DoclingLoader:
                         if lang.strip()
                     ]
 
-            endpoint = f"{self.url}/v1alpha/convert/file"
+            endpoint = f"{self.url}/v1/convert/file"
             r = requests.post(endpoint, files=files, data=params)
 
         if r.ok:
@@ -226,7 +226,10 @@ class Loader:
 
     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
+            file_content_type
+            and file_content_type.find("text/") >= 0
+            # Avoid text/html files being detected as text
+            and not file_content_type.find("html") >= 0
         )
 
     def _get_loader(self, filename: str, file_content_type: str, file_path: str):
@@ -389,6 +392,8 @@ class Loader:
                 loader = UnstructuredPowerPointLoader(file_path)
             elif file_ext == "msg":
                 loader = OutlookMessageLoader(file_path)
+            elif file_ext == "odt":
+                loader = UnstructuredODTLoader(file_path)
             elif self._is_text_file(file_ext, file_content_type):
                 loader = TextLoader(file_path, autodetect_encoding=True)
             else:

backend/open_webui/retrieval/loaders/mistral.py

@@ -507,6 +507,7 @@ class MistralLoader:
             timeout=timeout,
             headers={"User-Agent": "OpenWebUI-MistralLoader/2.0"},
             raise_for_status=False,  # We handle status codes manually
+            trust_env=True,
         ) as session:
             yield session
 

backend/open_webui/retrieval/models/external.py

@@ -1,8 +1,10 @@
 import logging
 import requests
 from typing import Optional, List, Tuple
+from urllib.parse import quote
 
-from open_webui.env import SRC_LOG_LEVELS
+
+from open_webui.env import ENABLE_FORWARD_USER_INFO_HEADERS, SRC_LOG_LEVELS
 from open_webui.retrieval.models.base_reranker import BaseReranker
 
 
@@ -21,7 +23,9 @@ class ExternalReranker(BaseReranker):
         self.url = url
         self.model = model
 
-    def predict(self, sentences: List[Tuple[str, str]]) -> Optional[List[float]]:
+    def predict(
+        self, sentences: List[Tuple[str, str]], user=None
+    ) -> Optional[List[float]]:
         query = sentences[0][0]
         docs = [i[1] for i in sentences]
 
@@ -41,6 +45,16 @@ class ExternalReranker(BaseReranker):
                 headers={
                     "Content-Type": "application/json",
                     "Authorization": f"Bearer {self.api_key}",
+                    **(
+                        {
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
+                            "X-OpenWebUI-User-Id": user.id,
+                            "X-OpenWebUI-User-Email": user.email,
+                            "X-OpenWebUI-User-Role": user.role,
+                        }
+                        if ENABLE_FORWARD_USER_INFO_HEADERS and user
+                        else {}
+                    ),
                 },
                 json=payload,
             )

backend/open_webui/retrieval/utils.py

@@ -7,6 +7,7 @@ import hashlib
 from concurrent.futures import ThreadPoolExecutor
 import time
 
+from urllib.parse import quote
 from huggingface_hub import snapshot_download
 from langchain.retrievers import ContextualCompressionRetriever, EnsembleRetriever
 from langchain_community.retrievers import BM25Retriever
@@ -17,8 +18,11 @@ from open_webui.retrieval.vector.factory import VECTOR_DB_CLIENT
 
 from open_webui.models.users import UserModel
 from open_webui.models.files import Files
+from open_webui.models.knowledge import Knowledges
+from open_webui.models.notes import Notes
 
 from open_webui.retrieval.vector.main import GetResult
+from open_webui.utils.access_control import has_access
 
 
 from open_webui.env import (
@@ -441,9 +445,20 @@ def get_embedding_function(
         raise ValueError(f"Unknown embedding engine: {embedding_engine}")
 
 
-def get_sources_from_files(
+def get_reranking_function(reranking_engine, reranking_model, reranking_function):
+    if reranking_function is None:
+        return None
+    if reranking_engine == "external":
+        return lambda sentences, user=None: reranking_function.predict(
+            sentences, user=user
+        )
+    else:
+        return lambda sentences, user=None: reranking_function.predict(sentences)
+
+
+def get_sources_from_items(
     request,
-    files,
+    items,
     queries,
     embedding_function,
     k,
@@ -453,36 +468,117 @@ def get_sources_from_files(
     hybrid_bm25_weight,
     hybrid_search,
     full_context=False,
+    user: Optional[UserModel] = None,
 ):
     log.debug(
-        f"files: {files} {queries} {embedding_function} {reranking_function} {full_context}"
+        f"items: {items} {queries} {embedding_function} {reranking_function} {full_context}"
     )
 
     extracted_collections = []
-    relevant_contexts = []
+    query_results = []
 
-    for file in files:
+    for item in items:
+        query_result = None
+        collection_names = []
 
-        context = None
+        if item.get("type") == "text":
-        if file.get("docs"):
+            # Raw Text
-            # BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL
+            # Used during temporary chat file uploads
-            context = {
+
-                "documents": [[doc.get("content") for doc in file.get("docs")]],
+            if item.get("file"):
-                "metadatas": [[doc.get("metadata") for doc in file.get("docs")]],
+                # if item has file data, use it
+                query_result = {
+                    "documents": [
+                        [item.get("file", {}).get("data", {}).get("content")]
+                    ],
+                    "metadatas": [
+                        [item.get("file", {}).get("data", {}).get("meta", {})]
+                    ],
                 }
-        elif file.get("context") == "full":
+            else:
-            # Manual Full Mode Toggle
+                # Fallback to item content
-            context = {
+                query_result = {
-                "documents": [[file.get("file").get("data", {}).get("content")]],
+                    "documents": [[item.get("content")]],
-                "metadatas": [[{"file_id": file.get("id"), "name": file.get("name")}]],
+                    "metadatas": [
+                        [{"file_id": item.get("id"), "name": item.get("name")}]
+                    ],
                 }
-        elif (
+
-            file.get("type") != "web_search"
+        elif item.get("type") == "note":
-            and request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
+            # Note Attached
+            note = Notes.get_note_by_id(item.get("id"))
+
+            if note and (
+                user.role == "admin"
+                or note.user_id == user.id
+                or has_access(user.id, "read", note.access_control)
             ):
-            # BYPASS_EMBEDDING_AND_RETRIEVAL
+                # User has access to the note
-            if file.get("type") == "collection":
+                query_result = {
-                file_ids = file.get("data", {}).get("file_ids", [])
+                    "documents": [[note.data.get("content", {}).get("md", "")]],
+                    "metadatas": [[{"file_id": note.id, "name": note.title}]],
+                }
+
+        elif item.get("type") == "file":
+            if (
+                item.get("context") == "full"
+                or request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
+            ):
+                if item.get("file", {}).get("data", {}).get("content", ""):
+                    # Manual Full Mode Toggle
+                    # Used from chat file modal, we can assume that the file content will be available from item.get("file").get("data", {}).get("content")
+                    query_result = {
+                        "documents": [
+                            [item.get("file", {}).get("data", {}).get("content", "")]
+                        ],
+                        "metadatas": [
+                            [
+                                {
+                                    "file_id": item.get("id"),
+                                    "name": item.get("name"),
+                                    **item.get("file")
+                                    .get("data", {})
+                                    .get("metadata", {}),
+                                }
+                            ]
+                        ],
+                    }
+                elif item.get("id"):
+                    file_object = Files.get_file_by_id(item.get("id"))
+                    if file_object:
+                        query_result = {
+                            "documents": [[file_object.data.get("content", "")]],
+                            "metadatas": [
+                                [
+                                    {
+                                        "file_id": item.get("id"),
+                                        "name": file_object.filename,
+                                        "source": file_object.filename,
+                                    }
+                                ]
+                            ],
+                        }
+            else:
+                # Fallback to collection names
+                if item.get("legacy"):
+                    collection_names.append(f"{item['id']}")
+                else:
+                    collection_names.append(f"file-{item['id']}")
+
+        elif item.get("type") == "collection":
+            if (
+                item.get("context") == "full"
+                or request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
+            ):
+                # Manual Full Mode Toggle for Collection
+                knowledge_base = Knowledges.get_knowledge_by_id(item.get("id"))
+
+                if knowledge_base and (
+                    user.role == "admin"
+                    or has_access(user.id, "read", knowledge_base.access_control)
+                ):
+
+                    file_ids = knowledge_base.data.get("file_ids", [])
 
                     documents = []
                     metadatas = []
@@ -499,68 +595,46 @@ def get_sources_from_files(
                                 }
                             )
 
-                context = {
+                    query_result = {
                         "documents": [documents],
                         "metadatas": [metadatas],
                     }
+            else:
+                # Fallback to collection names
+                if item.get("legacy"):
+                    collection_names = item.get("collection_names", [])
+                else:
+                    collection_names.append(item["id"])
 
-            elif file.get("id"):
+        elif item.get("docs"):
-                file_object = Files.get_file_by_id(file.get("id"))
+            # BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL
-                if file_object:
+            query_result = {
-                    context = {
+                "documents": [[doc.get("content") for doc in item.get("docs")]],
-                        "documents": [[file_object.data.get("content", "")]],
+                "metadatas": [[doc.get("metadata") for doc in item.get("docs")]],
-                        "metadatas": [
-                            [
-                                {
-                                    "file_id": file.get("id"),
-                                    "name": file_object.filename,
-                                    "source": file_object.filename,
             }
-                            ]
+        elif item.get("collection_name"):
-                        ],
+            # Direct Collection Name
-                    }
+            collection_names.append(item["collection_name"])
-            elif file.get("file").get("data"):
+        elif item.get("collection_names"):
-                context = {
+            # Collection Names List
-                    "documents": [[file.get("file").get("data", {}).get("content")]],
+            collection_names.extend(item["collection_names"])
-                    "metadatas": [
-                        [file.get("file").get("data", {}).get("metadata", {})]
-                    ],
-                }
-        else:
-            collection_names = []
-            if file.get("type") == "collection":
-                if file.get("legacy"):
-                    collection_names = file.get("collection_names", [])
-                else:
-                    collection_names.append(file["id"])
-            elif file.get("collection_name"):
-                collection_names.append(file["collection_name"])
-            elif file.get("id"):
-                if file.get("legacy"):
-                    collection_names.append(f"{file['id']}")
-                else:
-                    collection_names.append(f"file-{file['id']}")
 
+        # If query_result is None
+        # Fallback to collection names and vector search the collections
+        if query_result is None and collection_names:
             collection_names = set(collection_names).difference(extracted_collections)
             if not collection_names:
-                log.debug(f"skipping {file} as it has already been extracted")
+                log.debug(f"skipping {item} as it has already been extracted")
                 continue
 
+            try:
                 if full_context:
-                try:
+                    query_result = get_all_items_from_collections(collection_names)
-                    context = get_all_items_from_collections(collection_names)
-                except Exception as e:
-                    log.exception(e)
-
-            else:
-                try:
-                    context = None
-                    if file.get("type") == "text":
-                        context = file["content"]
                 else:
+                    query_result = None  # Initialize to None
                     if hybrid_search:
                         try:
-                                context = query_collection_with_hybrid_search(
+                            query_result = query_collection_with_hybrid_search(
                                 collection_names=collection_names,
                                 queries=queries,
                                 embedding_function=embedding_function,
@@ -572,12 +646,12 @@ def get_sources_from_files(
                             )
                         except Exception as e:
                             log.debug(
-                                    "Error when using hybrid search, using"
+                                "Error when using hybrid search, using non hybrid search as fallback."
-                                    " non hybrid search as fallback."
                             )
 
-                        if (not hybrid_search) or (context is None):
+                    # fallback to non-hybrid search
-                            context = query_collection(
+                    if not hybrid_search and query_result is None:
+                        query_result = query_collection(
                             collection_names=collection_names,
                             queries=queries,
                             embedding_function=embedding_function,
@@ -588,24 +662,23 @@ def get_sources_from_files(
 
             extracted_collections.extend(collection_names)
 
-        if context:
+        if query_result:
-            if "data" in file:
+            if "data" in item:
-                del file["data"]
+                del item["data"]
-
+            query_results.append({**query_result, "file": item})
-            relevant_contexts.append({**context, "file": file})
 
     sources = []
-    for context in relevant_contexts:
+    for query_result in query_results:
         try:
-            if "documents" in context:
+            if "documents" in query_result:
-                if "metadatas" in context:
+                if "metadatas" in query_result:
                     source = {
-                        "source": context["file"],
+                        "source": query_result["file"],
-                        "document": context["documents"][0],
+                        "document": query_result["documents"][0],
-                        "metadata": context["metadatas"][0],
+                        "metadata": query_result["metadatas"][0],
                     }
-                    if "distances" in context and context["distances"]:
+                    if "distances" in query_result and query_result["distances"]:
-                        source["distances"] = context["distances"][0]
+                        source["distances"] = query_result["distances"][0]
 
                     sources.append(source)
         except Exception as e:
@@ -678,7 +751,7 @@ def generate_openai_batch_embeddings(
                 "Authorization": f"Bearer {key}",
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -727,7 +800,7 @@ def generate_azure_openai_batch_embeddings(
                     "api-key": key,
                     **(
                         {
-                            "X-OpenWebUI-User-Name": user.name,
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                             "X-OpenWebUI-User-Id": user.id,
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
@@ -777,7 +850,7 @@ def generate_ollama_batch_embeddings(
                 "Authorization": f"Bearer {key}",
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -874,7 +947,7 @@ class RerankCompressor(BaseDocumentCompressor):
         reranking = self.reranking_function is not None
 
         if reranking:
-            scores = self.reranking_function.predict(
+            scores = self.reranking_function(
                 [(query, doc.page_content) for doc in documents]
             )
         else:

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

@@ -11,6 +11,8 @@ from open_webui.retrieval.vector.main import (
     SearchResult,
     GetResult,
 )
+from open_webui.retrieval.vector.utils import stringify_metadata
+
 from open_webui.config import (
     CHROMA_DATA_PATH,
     CHROMA_HTTP_HOST,
@@ -144,7 +146,7 @@ class ChromaClient(VectorDBBase):
         ids = [item["id"] for item in items]
         documents = [item["text"] for item in items]
         embeddings = [item["vector"] for item in items]
-        metadatas = [item["metadata"] for item in items]
+        metadatas = [stringify_metadata(item["metadata"]) for item in items]
 
         for batch in create_batches(
             api=self.client,
@@ -164,7 +166,7 @@ class ChromaClient(VectorDBBase):
         ids = [item["id"] for item in items]
         documents = [item["text"] for item in items]
         embeddings = [item["vector"] for item in items]
-        metadatas = [item["metadata"] for item in items]
+        metadatas = [stringify_metadata(item["metadata"]) for item in items]
 
         collection.upsert(
             ids=ids, documents=documents, embeddings=embeddings, metadatas=metadatas

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

@@ -3,6 +3,8 @@ from pymilvus import FieldSchema, DataType
 import json
 import logging
 from typing import Optional
+
+from open_webui.retrieval.vector.utils import stringify_metadata
 from open_webui.retrieval.vector.main import (
     VectorDBBase,
     VectorItem,
@@ -311,7 +313,7 @@ class MilvusClient(VectorDBBase):
                     "id": item["id"],
                     "vector": item["vector"],
                     "data": {"text": item["text"]},
-                    "metadata": item["metadata"],
+                    "metadata": stringify_metadata(item["metadata"]),
                 }
                 for item in items
             ],
@@ -347,7 +349,7 @@ class MilvusClient(VectorDBBase):
                     "id": item["id"],
                     "vector": item["vector"],
                     "data": {"text": item["text"]},
-                    "metadata": item["metadata"],
+                    "metadata": stringify_metadata(item["metadata"]),
                 }
                 for item in items
             ],

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

@@ -157,10 +157,10 @@ class OpenSearchClient(VectorDBBase):
 
         for field, value in filter.items():
             query_body["query"]["bool"]["filter"].append(
-                {"match": {"metadata." + str(field): value}}
+                {"term": {"metadata." + str(field) + ".keyword": value}}
             )
 
-        size = limit if limit else 10
+        size = limit if limit else 10000
 
         try:
             result = self.client.search(
@@ -206,6 +206,7 @@ class OpenSearchClient(VectorDBBase):
                 for item in batch
             ]
             bulk(self.client, actions)
+        self.client.indices.refresh(self._get_index_name(collection_name))
 
     def upsert(self, collection_name: str, items: list[VectorItem]):
         self._create_index_if_not_exists(
@@ -228,6 +229,7 @@ class OpenSearchClient(VectorDBBase):
                 for item in batch
             ]
             bulk(self.client, actions)
+        self.client.indices.refresh(self._get_index_name(collection_name))
 
     def delete(
         self,
@@ -251,11 +253,12 @@ class OpenSearchClient(VectorDBBase):
             }
             for field, value in filter.items():
                 query_body["query"]["bool"]["filter"].append(
-                    {"match": {"metadata." + str(field): value}}
+                    {"term": {"metadata." + str(field) + ".keyword": value}}
                 )
             self.client.delete_by_query(
                 index=self._get_index_name(collection_name), body=query_body
             )
+        self.client.indices.refresh(self._get_index_name(collection_name))
 
     def reset(self):
         indices = self.client.indices.get(index=f"{self.index_prefix}_*")

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

@@ -18,7 +18,7 @@ from sqlalchemy import (
     values,
 )
 from sqlalchemy.sql import true
-from sqlalchemy.pool import NullPool
+from sqlalchemy.pool import NullPool, QueuePool
 
 from sqlalchemy.orm import declarative_base, scoped_session, sessionmaker
 from sqlalchemy.dialects.postgresql import JSONB, array
@@ -26,6 +26,8 @@ from pgvector.sqlalchemy import Vector
 from sqlalchemy.ext.mutable import MutableDict
 from sqlalchemy.exc import NoSuchTableError
 
+
+from open_webui.retrieval.vector.utils import stringify_metadata
 from open_webui.retrieval.vector.main import (
     VectorDBBase,
     VectorItem,
@@ -37,6 +39,10 @@ from open_webui.config import (
     PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH,
     PGVECTOR_PGCRYPTO,
     PGVECTOR_PGCRYPTO_KEY,
+    PGVECTOR_POOL_SIZE,
+    PGVECTOR_POOL_MAX_OVERFLOW,
+    PGVECTOR_POOL_TIMEOUT,
+    PGVECTOR_POOL_RECYCLE,
 )
 
 from open_webui.env import SRC_LOG_LEVELS
@@ -79,10 +85,25 @@ class PgvectorClient(VectorDBBase):
             from open_webui.internal.db import Session
 
             self.session = Session
+        else:
+            if isinstance(PGVECTOR_POOL_SIZE, int):
+                if PGVECTOR_POOL_SIZE > 0:
+                    engine = create_engine(
+                        PGVECTOR_DB_URL,
+                        pool_size=PGVECTOR_POOL_SIZE,
+                        max_overflow=PGVECTOR_POOL_MAX_OVERFLOW,
+                        pool_timeout=PGVECTOR_POOL_TIMEOUT,
+                        pool_recycle=PGVECTOR_POOL_RECYCLE,
+                        pool_pre_ping=True,
+                        poolclass=QueuePool,
+                    )
                 else:
                     engine = create_engine(
                         PGVECTOR_DB_URL, pool_pre_ping=True, poolclass=NullPool
                     )
+            else:
+                engine = create_engine(PGVECTOR_DB_URL, pool_pre_ping=True)
+
             SessionLocal = sessionmaker(
                 autocommit=False, autoflush=False, bind=engine, expire_on_commit=False
             )
@@ -216,7 +237,7 @@ class PgvectorClient(VectorDBBase):
                         vector=vector,
                         collection_name=collection_name,
                         text=item["text"],
-                        vmetadata=item["metadata"],
+                        vmetadata=stringify_metadata(item["metadata"]),
                     )
                     new_items.append(new_chunk)
                 self.session.bulk_save_objects(new_items)
@@ -273,7 +294,7 @@ class PgvectorClient(VectorDBBase):
                     if existing:
                         existing.vector = vector
                         existing.text = item["text"]
-                        existing.vmetadata = item["metadata"]
+                        existing.vmetadata = stringify_metadata(item["metadata"])
                         existing.collection_name = (
                             collection_name  # Update collection_name if necessary
                         )
@@ -283,7 +304,7 @@ class PgvectorClient(VectorDBBase):
                             vector=vector,
                             collection_name=collection_name,
                             text=item["text"],
-                            vmetadata=item["metadata"],
+                            vmetadata=stringify_metadata(item["metadata"]),
                         )
                         self.session.add(new_chunk)
                 self.session.commit()

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

@@ -18,6 +18,7 @@ from open_webui.config import (
     QDRANT_ON_DISK,
     QDRANT_GRPC_PORT,
     QDRANT_PREFER_GRPC,
+    QDRANT_COLLECTION_PREFIX,
 )
 from open_webui.env import SRC_LOG_LEVELS
 
@@ -29,7 +30,7 @@ log.setLevel(SRC_LOG_LEVELS["RAG"])
 
 class QdrantClient(VectorDBBase):
     def __init__(self):
-        self.collection_prefix = "open-webui"
+        self.collection_prefix = QDRANT_COLLECTION_PREFIX
         self.QDRANT_URI = QDRANT_URI
         self.QDRANT_API_KEY = QDRANT_API_KEY
         self.QDRANT_ON_DISK = QDRANT_ON_DISK
@@ -86,6 +87,25 @@ class QdrantClient(VectorDBBase):
             ),
         )
 
+        # Create payload indexes for efficient filtering
+        self.client.create_payload_index(
+            collection_name=collection_name_with_prefix,
+            field_name="metadata.hash",
+            field_schema=models.KeywordIndexParams(
+                type=models.KeywordIndexType.KEYWORD,
+                is_tenant=False,
+                on_disk=self.QDRANT_ON_DISK,
+            ),
+        )
+        self.client.create_payload_index(
+            collection_name=collection_name_with_prefix,
+            field_name="metadata.file_id",
+            field_schema=models.KeywordIndexParams(
+                type=models.KeywordIndexType.KEYWORD,
+                is_tenant=False,
+                on_disk=self.QDRANT_ON_DISK,
+            ),
+        )
         log.info(f"collection {collection_name_with_prefix} successfully created!")
 
     def _create_collection_if_not_exists(self, collection_name, dimension):

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

@@ -1,5 +1,5 @@
 import logging
-from typing import Optional, Tuple
+from typing import Optional, Tuple, List, Dict, Any
 from urllib.parse import urlparse
 
 import grpc
@@ -9,6 +9,7 @@ from open_webui.config import (
     QDRANT_ON_DISK,
     QDRANT_PREFER_GRPC,
     QDRANT_URI,
+    QDRANT_COLLECTION_PREFIX,
 )
 from open_webui.env import SRC_LOG_LEVELS
 from open_webui.retrieval.vector.main import (
@@ -23,14 +24,28 @@ from qdrant_client.http.models import PointStruct
 from qdrant_client.models import models
 
 NO_LIMIT = 999999999
+TENANT_ID_FIELD = "tenant_id"
+DEFAULT_DIMENSION = 384
 
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["RAG"])
 
 
+def _tenant_filter(tenant_id: str) -> models.FieldCondition:
+    return models.FieldCondition(
+        key=TENANT_ID_FIELD, match=models.MatchValue(value=tenant_id)
+    )
+
+
+def _metadata_filter(key: str, value: Any) -> models.FieldCondition:
+    return models.FieldCondition(
+        key=f"metadata.{key}", match=models.MatchValue(value=value)
+    )
+
+
 class QdrantClient(VectorDBBase):
     def __init__(self):
-        self.collection_prefix = "open-webui"
+        self.collection_prefix = QDRANT_COLLECTION_PREFIX
         self.QDRANT_URI = QDRANT_URI
         self.QDRANT_API_KEY = QDRANT_API_KEY
         self.QDRANT_ON_DISK = QDRANT_ON_DISK
@@ -38,24 +53,26 @@ class QdrantClient(VectorDBBase):
         self.GRPC_PORT = QDRANT_GRPC_PORT
 
         if not self.QDRANT_URI:
-            self.client = None
+            raise ValueError(
-            return
+                "QDRANT_URI is not set. Please configure it in the environment variables."
+            )
 
         # Unified handling for either scheme
         parsed = urlparse(self.QDRANT_URI)
         host = parsed.hostname or self.QDRANT_URI
         http_port = parsed.port or 6333  # default REST port
 
-        if self.PREFER_GRPC:
+        self.client = (
-            self.client = Qclient(
+            Qclient(
                 host=host,
                 port=http_port,
                 grpc_port=self.GRPC_PORT,
                 prefer_grpc=self.PREFER_GRPC,
                 api_key=self.QDRANT_API_KEY,
             )
-        else:
+            if self.PREFER_GRPC
-            self.client = Qclient(url=self.QDRANT_URI, api_key=self.QDRANT_API_KEY)
+            else Qclient(url=self.QDRANT_URI, api_key=self.QDRANT_API_KEY)
+        )
 
         # Main collection types for multi-tenancy
         self.MEMORY_COLLECTION = f"{self.collection_prefix}_memories"
@@ -65,23 +82,13 @@ class QdrantClient(VectorDBBase):
         self.HASH_BASED_COLLECTION = f"{self.collection_prefix}_hash-based"
 
     def _result_to_get_result(self, points) -> GetResult:
-        ids = []
+        ids, documents, metadatas = [], [], []
-        documents = []
-        metadatas = []
-
         for point in points:
             payload = point.payload
             ids.append(point.id)
             documents.append(payload["text"])
             metadatas.append(payload["metadata"])
-
+        return GetResult(ids=[ids], documents=[documents], metadatas=[metadatas])
-        return GetResult(
-            **{
-                "ids": [ids],
-                "documents": [documents],
-                "metadatas": [metadatas],
-            }
-        )
 
     def _get_collection_and_tenant_id(self, collection_name: str) -> Tuple[str, str]:
         """
@@ -113,96 +120,12 @@ class QdrantClient(VectorDBBase):
         else:
             return self.KNOWLEDGE_COLLECTION, tenant_id
 
-    def _extract_error_message(self, exception):
+    def _create_multi_tenant_collection(
-        """
+        self, mt_collection_name: str, dimension: int = DEFAULT_DIMENSION
-        Extract error message from either HTTP or gRPC exceptions
-
-        Returns:
-            tuple: (status_code, error_message)
-        """
-        # Check if it's an HTTP exception
-        if isinstance(exception, UnexpectedResponse):
-            try:
-                error_data = exception.structured()
-                error_msg = error_data.get("status", {}).get("error", "")
-                return exception.status_code, error_msg
-            except Exception as inner_e:
-                log.error(f"Failed to parse HTTP error: {inner_e}")
-                return exception.status_code, str(exception)
-
-        # Check if it's a gRPC exception
-        elif isinstance(exception, grpc.RpcError):
-            # Extract status code from gRPC error
-            status_code = None
-            if hasattr(exception, "code") and callable(exception.code):
-                status_code = exception.code().value[0]
-
-            # Extract error message
-            error_msg = str(exception)
-            if "details =" in error_msg:
-                # Parse the details line which contains the actual error message
-                try:
-                    details_line = [
-                        line.strip()
-                        for line in error_msg.split("\n")
-                        if "details =" in line
-                    ][0]
-                    error_msg = details_line.split("details =")[1].strip(' "')
-                except (IndexError, AttributeError):
-                    # Fall back to full message if parsing fails
-                    pass
-
-            return status_code, error_msg
-
-        # For any other type of exception
-        return None, str(exception)
-
-    def _is_collection_not_found_error(self, exception):
-        """
-        Check if the exception is due to collection not found, supporting both HTTP and gRPC
-        """
-        status_code, error_msg = self._extract_error_message(exception)
-
-        # HTTP error (404)
-        if (
-            status_code == 404
-            and "Collection" in error_msg
-            and "doesn't exist" in error_msg
-        ):
-            return True
-
-        # gRPC error (NOT_FOUND status)
-        if (
-            isinstance(exception, grpc.RpcError)
-            and exception.code() == grpc.StatusCode.NOT_FOUND
-        ):
-            return True
-
-        return False
-
-    def _is_dimension_mismatch_error(self, exception):
-        """
-        Check if the exception is due to dimension mismatch, supporting both HTTP and gRPC
-        """
-        status_code, error_msg = self._extract_error_message(exception)
-
-        # Common patterns in both HTTP and gRPC
-        return (
-            "Vector dimension error" in error_msg
-            or "dimensions mismatch" in error_msg
-            or "invalid vector size" in error_msg
-        )
-
-    def _create_multi_tenant_collection_if_not_exists(
-        self, mt_collection_name: str, dimension: int = 384
     ):
         """
-        Creates a collection with multi-tenancy configuration if it doesn't exist.
+        Creates a collection with multi-tenancy configuration and payload indexes for tenant_id and metadata fields.
-        Default dimension is set to 384 which corresponds to 'sentence-transformers/all-MiniLM-L6-v2'.
-        When creating collections dynamically (insert/upsert), the actual vector dimensions will be used.
         """
-        try:
-            # Try to create the collection directly - will fail if it already exists
         self.client.create_collection(
             collection_name=mt_collection_name,
             vectors_config=models.VectorParams(
@@ -210,46 +133,34 @@ class QdrantClient(VectorDBBase):
                 distance=models.Distance.COSINE,
                 on_disk=self.QDRANT_ON_DISK,
             ),
-                hnsw_config=models.HnswConfigDiff(
+        )
-                    payload_m=16,  # Enable per-tenant indexing
+        log.info(
-                    m=0,
+            f"Multi-tenant collection {mt_collection_name} created with dimension {dimension}!"
-                    on_disk=self.QDRANT_ON_DISK,
-                ),
         )
 
-            # Create tenant ID payload index
         self.client.create_payload_index(
             collection_name=mt_collection_name,
-                field_name="tenant_id",
+            field_name=TENANT_ID_FIELD,
             field_schema=models.KeywordIndexParams(
                 type=models.KeywordIndexType.KEYWORD,
                 is_tenant=True,
                 on_disk=self.QDRANT_ON_DISK,
             ),
-                wait=True,
         )
 
-            log.info(
+        for field in ("metadata.hash", "metadata.file_id"):
-                f"Multi-tenant collection {mt_collection_name} created with dimension {dimension}!"
+            self.client.create_payload_index(
+                collection_name=mt_collection_name,
+                field_name=field,
+                field_schema=models.KeywordIndexParams(
+                    type=models.KeywordIndexType.KEYWORD,
+                    on_disk=self.QDRANT_ON_DISK,
+                ),
             )
-        except (UnexpectedResponse, grpc.RpcError) as e:
-            # Check for the specific error indicating collection already exists
-            status_code, error_msg = self._extract_error_message(e)
 
-            # HTTP status code 409 or gRPC ALREADY_EXISTS
+    def _create_points(
-            if (isinstance(e, UnexpectedResponse) and status_code == 409) or (
+        self, items: List[VectorItem], tenant_id: str
-                isinstance(e, grpc.RpcError)
+    ) -> List[PointStruct]:
-                and e.code() == grpc.StatusCode.ALREADY_EXISTS
-            ):
-                if "already exists" in error_msg:
-                    log.debug(f"Collection {mt_collection_name} already exists")
-                    return
-            # If it's not an already exists error, re-raise
-            raise e
-        except Exception as e:
-            raise e
-
-    def _create_points(self, items: list[VectorItem], tenant_id: str):
         """
         Create point structs from vector items with tenant ID.
         """
@@ -260,56 +171,42 @@ class QdrantClient(VectorDBBase):
                 payload={
                     "text": item["text"],
                     "metadata": item["metadata"],
-                    "tenant_id": tenant_id,
+                    TENANT_ID_FIELD: tenant_id,
                 },
             )
             for item in items
         ]
 
+    def _ensure_collection(
+        self, mt_collection_name: str, dimension: int = DEFAULT_DIMENSION
+    ):
+        """
+        Ensure the collection exists and payload indexes are created for tenant_id and metadata fields.
+        """
+        if not self.client.collection_exists(collection_name=mt_collection_name):
+            self._create_multi_tenant_collection(mt_collection_name, dimension)
+
     def has_collection(self, collection_name: str) -> bool:
         """
         Check if a logical collection exists by checking for any points with the tenant ID.
         """
         if not self.client:
             return False
-
-        # Map to multi-tenant collection and tenant ID
         mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
-
+        if not self.client.collection_exists(collection_name=mt_collection):
-        # Create tenant filter
+            return False
-        tenant_filter = models.FieldCondition(
+        tenant_filter = _tenant_filter(tenant_id)
-            key="tenant_id", match=models.MatchValue(value=tenant_id)
+        count_result = self.client.count(
-        )
-
-        try:
-            # Try directly querying - most of the time collection should exist
-            response = self.client.query_points(
             collection_name=mt_collection,
-                query_filter=models.Filter(must=[tenant_filter]),
+            count_filter=models.Filter(must=[tenant_filter]),
-                limit=1,
         )
-
+        return count_result.count > 0
-            # Collection exists with this tenant ID if there are points
-            return len(response.points) > 0
-        except (UnexpectedResponse, grpc.RpcError) as e:
-            if self._is_collection_not_found_error(e):
-                log.debug(f"Collection {mt_collection} doesn't exist")
-                return False
-            else:
-                # For other API errors, log and return False
-                _, error_msg = self._extract_error_message(e)
-                log.warning(f"Unexpected Qdrant error: {error_msg}")
-                return False
-        except Exception as e:
-            # For any other errors, log and return False
-            log.debug(f"Error checking collection {mt_collection}: {e}")
-            return False
 
     def delete(
         self,
         collection_name: str,
-        ids: Optional[list[str]] = None,
+        ids: Optional[List[str]] = None,
-        filter: Optional[dict] = None,
+        filter: Optional[Dict[str, Any]] = None,
     ):
         """
         Delete vectors by ID or filter from a collection with tenant isolation.
@@ -317,189 +214,76 @@ class QdrantClient(VectorDBBase):
         if not self.client:
             return None
 
-        # Map to multi-tenant collection and tenant ID
         mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
+        if not self.client.collection_exists(collection_name=mt_collection):
+            log.debug(f"Collection {mt_collection} doesn't exist, nothing to delete")
+            return None
 
-        # Create tenant filter
+        must_conditions = [_tenant_filter(tenant_id)]
-        tenant_filter = models.FieldCondition(
-            key="tenant_id", match=models.MatchValue(value=tenant_id)
-        )
-
-        must_conditions = [tenant_filter]
         should_conditions = []
-
         if ids:
-            for id_value in ids:
+            should_conditions = [_metadata_filter("id", id_value) for id_value in ids]
-                should_conditions.append(
-                    models.FieldCondition(
-                        key="metadata.id",
-                        match=models.MatchValue(value=id_value),
-                    ),
-                )
         elif filter:
-            for key, value in filter.items():
+            must_conditions += [_metadata_filter(k, v) for k, v in filter.items()]
-                must_conditions.append(
-                    models.FieldCondition(
-                        key=f"metadata.{key}",
-                        match=models.MatchValue(value=value),
-                    ),
-                )
 
-        try:
+        return self.client.delete(
-            # Try to delete directly - most of the time collection should exist
-            update_result = self.client.delete(
             collection_name=mt_collection,
             points_selector=models.FilterSelector(
                 filter=models.Filter(must=must_conditions, should=should_conditions)
             ),
         )
 
-            return update_result
-        except (UnexpectedResponse, grpc.RpcError) as e:
-            if self._is_collection_not_found_error(e):
-                log.debug(
-                    f"Collection {mt_collection} doesn't exist, nothing to delete"
-                )
-                return None
-            else:
-                # For other API errors, log and re-raise
-                _, error_msg = self._extract_error_message(e)
-                log.warning(f"Unexpected Qdrant error: {error_msg}")
-                raise
-        except Exception as e:
-            # For non-Qdrant exceptions, re-raise
-            raise
-
     def search(
-        self, collection_name: str, vectors: list[list[float | int]], limit: int
+        self, collection_name: str, vectors: List[List[float | int]], limit: int
     ) -> Optional[SearchResult]:
         """
         Search for the nearest neighbor items based on the vectors with tenant isolation.
         """
-        if not self.client:
+        if not self.client or not vectors:
+            return None
+        mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
+        if not self.client.collection_exists(collection_name=mt_collection):
+            log.debug(f"Collection {mt_collection} doesn't exist, search returns None")
             return None
 
-        # Map to multi-tenant collection and tenant ID
+        tenant_filter = _tenant_filter(tenant_id)
-        mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
-
-        # Get the vector dimension from the query vector
-        dimension = len(vectors[0]) if vectors and len(vectors) > 0 else None
-
-        try:
-            # Try the search operation directly - most of the time collection should exist
-
-            # Create tenant filter
-            tenant_filter = models.FieldCondition(
-                key="tenant_id", match=models.MatchValue(value=tenant_id)
-            )
-
-            # Ensure vector dimensions match the collection
-            collection_dim = self.client.get_collection(
-                mt_collection
-            ).config.params.vectors.size
-
-            if collection_dim != dimension:
-                if collection_dim < dimension:
-                    vectors = [vector[:collection_dim] for vector in vectors]
-                else:
-                    vectors = [
-                        vector + [0] * (collection_dim - dimension)
-                        for vector in vectors
-                    ]
-
-            # Search with tenant filter
-            prefetch_query = models.Prefetch(
-                filter=models.Filter(must=[tenant_filter]),
-                limit=NO_LIMIT,
-            )
         query_response = self.client.query_points(
             collection_name=mt_collection,
             query=vectors[0],
-                prefetch=prefetch_query,
             limit=limit,
+            query_filter=models.Filter(must=[tenant_filter]),
         )
-
         get_result = self._result_to_get_result(query_response.points)
         return SearchResult(
             ids=get_result.ids,
             documents=get_result.documents,
             metadatas=get_result.metadatas,
-                # qdrant distance is [-1, 1], normalize to [0, 1]
+            distances=[[(point.score + 1.0) / 2.0 for point in query_response.points]],
-                distances=[
-                    [(point.score + 1.0) / 2.0 for point in query_response.points]
-                ],
         )
-        except (UnexpectedResponse, grpc.RpcError) as e:
-            if self._is_collection_not_found_error(e):
-                log.debug(
-                    f"Collection {mt_collection} doesn't exist, search returns None"
-                )
-                return None
-            else:
-                # For other API errors, log and re-raise
-                _, error_msg = self._extract_error_message(e)
-                log.warning(f"Unexpected Qdrant error during search: {error_msg}")
-                raise
-        except Exception as e:
-            # For non-Qdrant exceptions, log and return None
-            log.exception(f"Error searching collection '{collection_name}': {e}")
-            return None
 
-    def query(self, collection_name: str, filter: dict, limit: Optional[int] = None):
+    def query(
+        self, collection_name: str, filter: Dict[str, Any], limit: Optional[int] = None
+    ):
         """
         Query points with filters and tenant isolation.
         """
         if not self.client:
             return None
-
-        # Map to multi-tenant collection and tenant ID
         mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
-
+        if not self.client.collection_exists(collection_name=mt_collection):
-        # Set default limit if not provided
+            log.debug(f"Collection {mt_collection} doesn't exist, query returns None")
+            return None
         if limit is None:
             limit = NO_LIMIT
-
+        tenant_filter = _tenant_filter(tenant_id)
-        # Create tenant filter
+        field_conditions = [_metadata_filter(k, v) for k, v in filter.items()]
-        tenant_filter = models.FieldCondition(
-            key="tenant_id", match=models.MatchValue(value=tenant_id)
-        )
-
-        # Create metadata filters
-        field_conditions = []
-        for key, value in filter.items():
-            field_conditions.append(
-                models.FieldCondition(
-                    key=f"metadata.{key}", match=models.MatchValue(value=value)
-                )
-            )
-
-        # Combine tenant filter with metadata filters
         combined_filter = models.Filter(must=[tenant_filter, *field_conditions])
-
-        try:
-            # Try the query directly - most of the time collection should exist
         points = self.client.query_points(
             collection_name=mt_collection,
             query_filter=combined_filter,
             limit=limit,
         )
-
         return self._result_to_get_result(points.points)
-        except (UnexpectedResponse, grpc.RpcError) as e:
-            if self._is_collection_not_found_error(e):
-                log.debug(
-                    f"Collection {mt_collection} doesn't exist, query returns None"
-                )
-                return None
-            else:
-                # For other API errors, log and re-raise
-                _, error_msg = self._extract_error_message(e)
-                log.warning(f"Unexpected Qdrant error during query: {error_msg}")
-                raise
-        except Exception as e:
-            # For non-Qdrant exceptions, log and re-raise
-            log.exception(f"Error querying collection '{collection_name}': {e}")
-            return None
 
     def get(self, collection_name: str) -> Optional[GetResult]:
         """
@@ -507,169 +291,36 @@ class QdrantClient(VectorDBBase):
         """
         if not self.client:
             return None
-
-        # Map to multi-tenant collection and tenant ID
         mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
-
+        if not self.client.collection_exists(collection_name=mt_collection):
-        # Create tenant filter
+            log.debug(f"Collection {mt_collection} doesn't exist, get returns None")
-        tenant_filter = models.FieldCondition(
+            return None
-            key="tenant_id", match=models.MatchValue(value=tenant_id)
+        tenant_filter = _tenant_filter(tenant_id)
-        )
-
-        try:
-            # Try to get points directly - most of the time collection should exist
         points = self.client.query_points(
             collection_name=mt_collection,
             query_filter=models.Filter(must=[tenant_filter]),
             limit=NO_LIMIT,
         )
-
         return self._result_to_get_result(points.points)
-        except (UnexpectedResponse, grpc.RpcError) as e:
-            if self._is_collection_not_found_error(e):
-                log.debug(f"Collection {mt_collection} doesn't exist, get returns None")
-                return None
-            else:
-                # For other API errors, log and re-raise
-                _, error_msg = self._extract_error_message(e)
-                log.warning(f"Unexpected Qdrant error during get: {error_msg}")
-                raise
-        except Exception as e:
-            # For non-Qdrant exceptions, log and return None
-            log.exception(f"Error getting collection '{collection_name}': {e}")
-            return None
 
-    def _handle_operation_with_error_retry(
+    def upsert(self, collection_name: str, items: List[VectorItem]):
-        self, operation_name, mt_collection, points, dimension
-    ):
-        """
-        Private helper to handle common error cases for insert and upsert operations.
-
-        Args:
-            operation_name: 'insert' or 'upsert'
-            mt_collection: The multi-tenant collection name
-            points: The vector points to insert/upsert
-            dimension: The dimension of the vectors
-
-        Returns:
-            The operation result (for upsert) or None (for insert)
-        """
-        try:
-            if operation_name == "insert":
-                self.client.upload_points(mt_collection, points)
-                return None
-            else:  # upsert
-                return self.client.upsert(mt_collection, points)
-        except (UnexpectedResponse, grpc.RpcError) as e:
-            # Handle collection not found
-            if self._is_collection_not_found_error(e):
-                log.info(
-                    f"Collection {mt_collection} doesn't exist. Creating it with dimension {dimension}."
-                )
-                # Create collection with correct dimensions from our vectors
-                self._create_multi_tenant_collection_if_not_exists(
-                    mt_collection_name=mt_collection, dimension=dimension
-                )
-                # Try operation again - no need for dimension adjustment since we just created with correct dimensions
-                if operation_name == "insert":
-                    self.client.upload_points(mt_collection, points)
-                    return None
-                else:  # upsert
-                    return self.client.upsert(mt_collection, points)
-
-            # Handle dimension mismatch
-            elif self._is_dimension_mismatch_error(e):
-                # For dimension errors, the collection must exist, so get its configuration
-                mt_collection_info = self.client.get_collection(mt_collection)
-                existing_size = mt_collection_info.config.params.vectors.size
-
-                log.info(
-                    f"Dimension mismatch: Collection {mt_collection} expects {existing_size}, got {dimension}"
-                )
-
-                if existing_size < dimension:
-                    # Truncate vectors to fit
-                    log.info(
-                        f"Truncating vectors from {dimension} to {existing_size} dimensions"
-                    )
-                    points = [
-                        PointStruct(
-                            id=point.id,
-                            vector=point.vector[:existing_size],
-                            payload=point.payload,
-                        )
-                        for point in points
-                    ]
-                elif existing_size > dimension:
-                    # Pad vectors with zeros
-                    log.info(
-                        f"Padding vectors from {dimension} to {existing_size} dimensions with zeros"
-                    )
-                    points = [
-                        PointStruct(
-                            id=point.id,
-                            vector=point.vector
-                            + [0] * (existing_size - len(point.vector)),
-                            payload=point.payload,
-                        )
-                        for point in points
-                    ]
-                # Try operation again with adjusted dimensions
-                if operation_name == "insert":
-                    self.client.upload_points(mt_collection, points)
-                    return None
-                else:  # upsert
-                    return self.client.upsert(mt_collection, points)
-            else:
-                # Not a known error we can handle, log and re-raise
-                _, error_msg = self._extract_error_message(e)
-                log.warning(f"Unhandled Qdrant error: {error_msg}")
-                raise
-        except Exception as e:
-            # For non-Qdrant exceptions, re-raise
-            raise
-
-    def insert(self, collection_name: str, items: list[VectorItem]):
-        """
-        Insert items with tenant ID.
-        """
-        if not self.client or not items:
-            return None
-
-        # Map to multi-tenant collection and tenant ID
-        mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
-
-        # Get dimensions from the actual vectors
-        dimension = len(items[0]["vector"]) if items else None
-
-        # Create points with tenant ID
-        points = self._create_points(items, tenant_id)
-
-        # Handle the operation with error retry
-        return self._handle_operation_with_error_retry(
-            "insert", mt_collection, points, dimension
-        )
-
-    def upsert(self, collection_name: str, items: list[VectorItem]):
         """
         Upsert items with tenant ID.
         """
         if not self.client or not items:
             return None
-
-        # Map to multi-tenant collection and tenant ID
         mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
-
+        dimension = len(items[0]["vector"])
-        # Get dimensions from the actual vectors
+        self._ensure_collection(mt_collection, dimension)
-        dimension = len(items[0]["vector"]) if items else None
-
-        # Create points with tenant ID
         points = self._create_points(items, tenant_id)
+        self.client.upload_points(mt_collection, points)
+        return None
 
-        # Handle the operation with error retry
+    def insert(self, collection_name: str, items: List[VectorItem]):
-        return self._handle_operation_with_error_retry(
+        """
-            "upsert", mt_collection, points, dimension
+        Insert items with tenant ID.
-        )
+        """
+        return self.upsert(collection_name, items)
 
     def reset(self):
         """
@@ -677,11 +328,9 @@ class QdrantClient(VectorDBBase):
         """
         if not self.client:
             return None
-
+        for collection in self.client.get_collections().collections:
-        collection_names = self.client.get_collections().collections
+            if collection.name.startswith(self.collection_prefix):
-        for collection_name in collection_names:
+                self.client.delete_collection(collection_name=collection.name)
-            if collection_name.name.startswith(self.collection_prefix):
-                self.client.delete_collection(collection_name=collection_name.name)
 
     def delete_collection(self, collection_name: str):
         """
@@ -689,24 +338,13 @@ class QdrantClient(VectorDBBase):
         """
         if not self.client:
             return None
-
-        # Map to multi-tenant collection and tenant ID
         mt_collection, tenant_id = self._get_collection_and_tenant_id(collection_name)
-
+        if not self.client.collection_exists(collection_name=mt_collection):
-        tenant_filter = models.FieldCondition(
+            log.debug(f"Collection {mt_collection} doesn't exist, nothing to delete")
-            key="tenant_id", match=models.MatchValue(value=tenant_id)
+            return None
-        )
+        self.client.delete(
-
-        field_conditions = [tenant_filter]
-
-        update_result = self.client.delete(
             collection_name=mt_collection,
             points_selector=models.FilterSelector(
-                filter=models.Filter(must=field_conditions)
+                filter=models.Filter(must=[_tenant_filter(tenant_id)])
             ),
         )
-
-        if self.client.get_collection(mt_collection).points_count == 0:
-            self.client.delete_collection(mt_collection)
-
-        return update_result

backend/open_webui/retrieval/vector/dbs/s3vector.py

@@ -0,0 +1,745 @@
+from open_webui.retrieval.vector.main import (
+    VectorDBBase,
+    VectorItem,
+    GetResult,
+    SearchResult,
+)
+from open_webui.config import S3_VECTOR_BUCKET_NAME, S3_VECTOR_REGION
+from open_webui.env import SRC_LOG_LEVELS
+from typing import List, Optional, Dict, Any, Union
+import logging
+import boto3
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+class S3VectorClient(VectorDBBase):
+    """
+    AWS S3 Vector integration for Open WebUI Knowledge.
+    """
+
+    def __init__(self):
+        self.bucket_name = S3_VECTOR_BUCKET_NAME
+        self.region = S3_VECTOR_REGION
+
+        # Simple validation - log warnings instead of raising exceptions
+        if not self.bucket_name:
+            log.warning("S3_VECTOR_BUCKET_NAME not set - S3Vector will not work")
+        if not self.region:
+            log.warning("S3_VECTOR_REGION not set - S3Vector will not work")
+
+        if self.bucket_name and self.region:
+            try:
+                self.client = boto3.client("s3vectors", region_name=self.region)
+                log.info(
+                    f"S3Vector client initialized for bucket '{self.bucket_name}' in region '{self.region}'"
+                )
+            except Exception as e:
+                log.error(f"Failed to initialize S3Vector client: {e}")
+                self.client = None
+        else:
+            self.client = None
+
+    def _create_index(
+        self,
+        index_name: str,
+        dimension: int,
+        data_type: str = "float32",
+        distance_metric: str = "cosine",
+    ) -> None:
+        """
+        Create a new index in the S3 vector bucket for the given collection if it does not exist.
+        """
+        if self.has_collection(index_name):
+            log.debug(f"Index '{index_name}' already exists, skipping creation")
+            return
+
+        try:
+            self.client.create_index(
+                vectorBucketName=self.bucket_name,
+                indexName=index_name,
+                dataType=data_type,
+                dimension=dimension,
+                distanceMetric=distance_metric,
+            )
+            log.info(
+                f"Created S3 index: {index_name} (dim={dimension}, type={data_type}, metric={distance_metric})"
+            )
+        except Exception as e:
+            log.error(f"Error creating S3 index '{index_name}': {e}")
+            raise
+
+    def _filter_metadata(
+        self, metadata: Dict[str, Any], item_id: str
+    ) -> Dict[str, Any]:
+        """
+        Filter vector metadata keys to comply with S3 Vector API limit of 10 keys maximum.
+        """
+        if not isinstance(metadata, dict) or len(metadata) <= 10:
+            return metadata
+
+        # Keep only the first 10 keys, prioritizing important ones based on actual Open WebUI metadata
+        important_keys = [
+            "text",  # The actual document content
+            "file_id",  # File ID
+            "source",  # Document source file
+            "title",  # Document title
+            "page",  # Page number
+            "total_pages",  # Total pages in document
+            "embedding_config",  # Embedding configuration
+            "created_by",  # User who created it
+            "name",  # Document name
+            "hash",  # Content hash
+        ]
+        filtered_metadata = {}
+
+        # First, add important keys if they exist
+        for key in important_keys:
+            if key in metadata:
+                filtered_metadata[key] = metadata[key]
+            if len(filtered_metadata) >= 10:
+                break
+
+        # If we still have room, add other keys
+        if len(filtered_metadata) < 10:
+            for key, value in metadata.items():
+                if key not in filtered_metadata:
+                    filtered_metadata[key] = value
+                    if len(filtered_metadata) >= 10:
+                        break
+
+        log.warning(
+            f"Metadata for key '{item_id}' had {len(metadata)} keys, limited to 10 keys"
+        )
+        return filtered_metadata
+
+    def has_collection(self, collection_name: str) -> bool:
+        """
+        Check if a vector index (collection) exists in the S3 vector bucket.
+        """
+
+        try:
+            response = self.client.list_indexes(vectorBucketName=self.bucket_name)
+            indexes = response.get("indexes", [])
+            return any(idx.get("indexName") == collection_name for idx in indexes)
+        except Exception as e:
+            log.error(f"Error listing indexes: {e}")
+            return False
+
+    def delete_collection(self, collection_name: str) -> None:
+        """
+        Delete an entire S3 Vector index/collection.
+        """
+
+        if not self.has_collection(collection_name):
+            log.warning(
+                f"Collection '{collection_name}' does not exist, nothing to delete"
+            )
+            return
+
+        try:
+            log.info(f"Deleting collection '{collection_name}'")
+            self.client.delete_index(
+                vectorBucketName=self.bucket_name, indexName=collection_name
+            )
+            log.info(f"Successfully deleted collection '{collection_name}'")
+        except Exception as e:
+            log.error(f"Error deleting collection '{collection_name}': {e}")
+            raise
+
+    def insert(self, collection_name: str, items: List[VectorItem]) -> None:
+        """
+        Insert vector items into the S3 Vector index. Create index if it does not exist.
+        """
+        if not items:
+            log.warning("No items to insert")
+            return
+
+        dimension = len(items[0]["vector"])
+
+        try:
+            if not self.has_collection(collection_name):
+                log.info(f"Index '{collection_name}' does not exist. Creating index.")
+                self._create_index(
+                    index_name=collection_name,
+                    dimension=dimension,
+                    data_type="float32",
+                    distance_metric="cosine",
+                )
+
+            # Prepare vectors for insertion
+            vectors = []
+            for item in items:
+                # Ensure vector data is in the correct format for S3 Vector API
+                vector_data = item["vector"]
+                if isinstance(vector_data, list):
+                    # Convert list to float32 values as required by S3 Vector API
+                    vector_data = [float(x) for x in vector_data]
+
+                # Prepare metadata, ensuring the text field is preserved
+                metadata = item.get("metadata", {}).copy()
+
+                # Add the text field to metadata so it's available for retrieval
+                metadata["text"] = item["text"]
+
+                # Filter metadata to comply with S3 Vector API limit of 10 keys
+                metadata = self._filter_metadata(metadata, item["id"])
+
+                vectors.append(
+                    {
+                        "key": item["id"],
+                        "data": {"float32": vector_data},
+                        "metadata": metadata,
+                    }
+                )
+            # Insert vectors
+            self.client.put_vectors(
+                vectorBucketName=self.bucket_name,
+                indexName=collection_name,
+                vectors=vectors,
+            )
+            log.info(f"Inserted {len(vectors)} vectors into index '{collection_name}'.")
+        except Exception as e:
+            log.error(f"Error inserting vectors: {e}")
+            raise
+
+    def upsert(self, collection_name: str, items: List[VectorItem]) -> None:
+        """
+        Insert or update vector items in the S3 Vector index. Create index if it does not exist.
+        """
+        if not items:
+            log.warning("No items to upsert")
+            return
+
+        dimension = len(items[0]["vector"])
+        log.info(f"Upsert dimension: {dimension}")
+
+        try:
+            if not self.has_collection(collection_name):
+                log.info(
+                    f"Index '{collection_name}' does not exist. Creating index for upsert."
+                )
+                self._create_index(
+                    index_name=collection_name,
+                    dimension=dimension,
+                    data_type="float32",
+                    distance_metric="cosine",
+                )
+
+            # Prepare vectors for upsert
+            vectors = []
+            for item in items:
+                # Ensure vector data is in the correct format for S3 Vector API
+                vector_data = item["vector"]
+                if isinstance(vector_data, list):
+                    # Convert list to float32 values as required by S3 Vector API
+                    vector_data = [float(x) for x in vector_data]
+
+                # Prepare metadata, ensuring the text field is preserved
+                metadata = item.get("metadata", {}).copy()
+                # Add the text field to metadata so it's available for retrieval
+                metadata["text"] = item["text"]
+
+                # Filter metadata to comply with S3 Vector API limit of 10 keys
+                metadata = self._filter_metadata(metadata, item["id"])
+
+                vectors.append(
+                    {
+                        "key": item["id"],
+                        "data": {"float32": vector_data},
+                        "metadata": metadata,
+                    }
+                )
+            # Upsert vectors (using put_vectors for upsert semantics)
+            log.info(
+                f"Upserting {len(vectors)} vectors. First vector sample: key={vectors[0]['key']}, data_type={type(vectors[0]['data']['float32'])}, data_len={len(vectors[0]['data']['float32'])}"
+            )
+            self.client.put_vectors(
+                vectorBucketName=self.bucket_name,
+                indexName=collection_name,
+                vectors=vectors,
+            )
+            log.info(f"Upserted {len(vectors)} vectors into index '{collection_name}'.")
+        except Exception as e:
+            log.error(f"Error upserting vectors: {e}")
+            raise
+
+    def search(
+        self, collection_name: str, vectors: List[List[Union[float, int]]], limit: int
+    ) -> Optional[SearchResult]:
+        """
+        Search for similar vectors in a collection using multiple query vectors.
+        """
+
+        if not self.has_collection(collection_name):
+            log.warning(f"Collection '{collection_name}' does not exist")
+            return None
+
+        if not vectors:
+            log.warning("No query vectors provided")
+            return None
+
+        try:
+            log.info(
+                f"Searching collection '{collection_name}' with {len(vectors)} query vectors, limit={limit}"
+            )
+
+            # Initialize result lists
+            all_ids = []
+            all_documents = []
+            all_metadatas = []
+            all_distances = []
+
+            # Process each query vector
+            for i, query_vector in enumerate(vectors):
+                log.debug(f"Processing query vector {i+1}/{len(vectors)}")
+
+                # Prepare the query vector in S3 Vector format
+                query_vector_dict = {"float32": [float(x) for x in query_vector]}
+
+                # Call S3 Vector query API
+                response = self.client.query_vectors(
+                    vectorBucketName=self.bucket_name,
+                    indexName=collection_name,
+                    topK=limit,
+                    queryVector=query_vector_dict,
+                    returnMetadata=True,
+                    returnDistance=True,
+                )
+
+                # Process results for this query
+                query_ids = []
+                query_documents = []
+                query_metadatas = []
+                query_distances = []
+
+                result_vectors = response.get("vectors", [])
+
+                for vector in result_vectors:
+                    vector_id = vector.get("key")
+                    vector_metadata = vector.get("metadata", {})
+                    vector_distance = vector.get("distance", 0.0)
+
+                    # Extract document text from metadata
+                    document_text = ""
+                    if isinstance(vector_metadata, dict):
+                        # Get the text field first (highest priority)
+                        document_text = vector_metadata.get("text")
+                        if not document_text:
+                            # Fallback to other possible text fields
+                            document_text = (
+                                vector_metadata.get("content")
+                                or vector_metadata.get("document")
+                                or vector_id
+                            )
+                    else:
+                        document_text = vector_id
+
+                    query_ids.append(vector_id)
+                    query_documents.append(document_text)
+                    query_metadatas.append(vector_metadata)
+                    query_distances.append(vector_distance)
+
+                # Add this query's results to the overall results
+                all_ids.append(query_ids)
+                all_documents.append(query_documents)
+                all_metadatas.append(query_metadatas)
+                all_distances.append(query_distances)
+
+            log.info(f"Search completed. Found results for {len(all_ids)} queries")
+
+            # Return SearchResult format
+            return SearchResult(
+                ids=all_ids if all_ids else None,
+                documents=all_documents if all_documents else None,
+                metadatas=all_metadatas if all_metadatas else None,
+                distances=all_distances if all_distances else None,
+            )
+
+        except Exception as e:
+            log.error(f"Error searching collection '{collection_name}': {str(e)}")
+            # Handle specific AWS exceptions
+            if hasattr(e, "response") and "Error" in e.response:
+                error_code = e.response["Error"]["Code"]
+                if error_code == "NotFoundException":
+                    log.warning(f"Collection '{collection_name}' not found")
+                    return None
+                elif error_code == "ValidationException":
+                    log.error(f"Invalid query vector dimensions or parameters")
+                    return None
+                elif error_code == "AccessDeniedException":
+                    log.error(
+                        f"Access denied for collection '{collection_name}'. Check permissions."
+                    )
+                    return None
+            raise
+
+    def query(
+        self, collection_name: str, filter: Dict, limit: Optional[int] = None
+    ) -> Optional[GetResult]:
+        """
+        Query vectors from a collection using metadata filter.
+        """
+
+        if not self.has_collection(collection_name):
+            log.warning(f"Collection '{collection_name}' does not exist")
+            return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+
+        if not filter:
+            log.warning("No filter provided, returning all vectors")
+            return self.get(collection_name)
+
+        try:
+            log.info(f"Querying collection '{collection_name}' with filter: {filter}")
+
+            # For S3 Vector, we need to use list_vectors and then filter results
+            # Since S3 Vector may not support complex server-side filtering,
+            # we'll retrieve all vectors and filter client-side
+
+            # Get all vectors first
+            all_vectors_result = self.get(collection_name)
+
+            if not all_vectors_result or not all_vectors_result.ids:
+                log.warning("No vectors found in collection")
+                return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+
+            # Extract the lists from the result
+            all_ids = all_vectors_result.ids[0] if all_vectors_result.ids else []
+            all_documents = (
+                all_vectors_result.documents[0] if all_vectors_result.documents else []
+            )
+            all_metadatas = (
+                all_vectors_result.metadatas[0] if all_vectors_result.metadatas else []
+            )
+
+            # Apply client-side filtering
+            filtered_ids = []
+            filtered_documents = []
+            filtered_metadatas = []
+
+            for i, metadata in enumerate(all_metadatas):
+                if self._matches_filter(metadata, filter):
+                    if i < len(all_ids):
+                        filtered_ids.append(all_ids[i])
+                    if i < len(all_documents):
+                        filtered_documents.append(all_documents[i])
+                    filtered_metadatas.append(metadata)
+
+                    # Apply limit if specified
+                    if limit and len(filtered_ids) >= limit:
+                        break
+
+            log.info(
+                f"Filter applied: {len(filtered_ids)} vectors match out of {len(all_ids)} total"
+            )
+
+            # Return GetResult format
+            if filtered_ids:
+                return GetResult(
+                    ids=[filtered_ids],
+                    documents=[filtered_documents],
+                    metadatas=[filtered_metadatas],
+                )
+            else:
+                return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+
+        except Exception as e:
+            log.error(f"Error querying collection '{collection_name}': {str(e)}")
+            # Handle specific AWS exceptions
+            if hasattr(e, "response") and "Error" in e.response:
+                error_code = e.response["Error"]["Code"]
+                if error_code == "NotFoundException":
+                    log.warning(f"Collection '{collection_name}' not found")
+                    return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+                elif error_code == "AccessDeniedException":
+                    log.error(
+                        f"Access denied for collection '{collection_name}'. Check permissions."
+                    )
+                    return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+            raise
+
+    def get(self, collection_name: str) -> Optional[GetResult]:
+        """
+        Retrieve all vectors from a collection.
+        """
+
+        if not self.has_collection(collection_name):
+            log.warning(f"Collection '{collection_name}' does not exist")
+            return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+
+        try:
+            log.info(f"Retrieving all vectors from collection '{collection_name}'")
+
+            # Initialize result lists
+            all_ids = []
+            all_documents = []
+            all_metadatas = []
+
+            # Handle pagination
+            next_token = None
+
+            while True:
+                # Prepare request parameters
+                request_params = {
+                    "vectorBucketName": self.bucket_name,
+                    "indexName": collection_name,
+                    "returnData": False,  # Don't include vector data (not needed for get)
+                    "returnMetadata": True,  # Include metadata
+                    "maxResults": 500,  # Use reasonable page size
+                }
+
+                if next_token:
+                    request_params["nextToken"] = next_token
+
+                # Call S3 Vector API
+                response = self.client.list_vectors(**request_params)
+
+                # Process vectors in this page
+                vectors = response.get("vectors", [])
+
+                for vector in vectors:
+                    vector_id = vector.get("key")
+                    vector_data = vector.get("data", {})
+                    vector_metadata = vector.get("metadata", {})
+
+                    # Extract the actual vector array
+                    vector_array = vector_data.get("float32", [])
+
+                    # For documents, we try to extract text from metadata or use the vector ID
+                    document_text = ""
+                    if isinstance(vector_metadata, dict):
+                        # Get the text field first (highest priority)
+                        document_text = vector_metadata.get("text")
+                        if not document_text:
+                            # Fallback to other possible text fields
+                            document_text = (
+                                vector_metadata.get("content")
+                                or vector_metadata.get("document")
+                                or vector_id
+                            )
+
+                        # Log the actual content for debugging
+                        log.debug(
+                            f"Document text preview (first 200 chars): {str(document_text)[:200]}"
+                        )
+                    else:
+                        document_text = vector_id
+
+                    all_ids.append(vector_id)
+                    all_documents.append(document_text)
+                    all_metadatas.append(vector_metadata)
+
+                # Check if there are more pages
+                next_token = response.get("nextToken")
+                if not next_token:
+                    break
+
+            log.info(
+                f"Retrieved {len(all_ids)} vectors from collection '{collection_name}'"
+            )
+
+            # Return in GetResult format
+            # The Open WebUI GetResult expects lists of lists, so we wrap each list
+            if all_ids:
+                return GetResult(
+                    ids=[all_ids], documents=[all_documents], metadatas=[all_metadatas]
+                )
+            else:
+                return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+
+        except Exception as e:
+            log.error(
+                f"Error retrieving vectors from collection '{collection_name}': {str(e)}"
+            )
+            # Handle specific AWS exceptions
+            if hasattr(e, "response") and "Error" in e.response:
+                error_code = e.response["Error"]["Code"]
+                if error_code == "NotFoundException":
+                    log.warning(f"Collection '{collection_name}' not found")
+                    return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+                elif error_code == "AccessDeniedException":
+                    log.error(
+                        f"Access denied for collection '{collection_name}'. Check permissions."
+                    )
+                    return GetResult(ids=[[]], documents=[[]], metadatas=[[]])
+            raise
+
+    def delete(
+        self,
+        collection_name: str,
+        ids: Optional[List[str]] = None,
+        filter: Optional[Dict] = None,
+    ) -> None:
+        """
+        Delete vectors by ID or filter from a collection.
+        """
+
+        if not self.has_collection(collection_name):
+            log.warning(
+                f"Collection '{collection_name}' does not exist, nothing to delete"
+            )
+            return
+
+        # Check if this is a knowledge collection (not file-specific)
+        is_knowledge_collection = not collection_name.startswith("file-")
+
+        try:
+            if ids:
+                # Delete by specific vector IDs/keys
+                log.info(
+                    f"Deleting {len(ids)} vectors by IDs from collection '{collection_name}'"
+                )
+                self.client.delete_vectors(
+                    vectorBucketName=self.bucket_name,
+                    indexName=collection_name,
+                    keys=ids,
+                )
+                log.info(f"Deleted {len(ids)} vectors from index '{collection_name}'")
+
+            elif filter:
+                # Handle filter-based deletion
+                log.info(
+                    f"Deleting vectors by filter from collection '{collection_name}': {filter}"
+                )
+
+                # If this is a knowledge collection and we have a file_id filter,
+                # also clean up the corresponding file-specific collection
+                if is_knowledge_collection and "file_id" in filter:
+                    file_id = filter["file_id"]
+                    file_collection_name = f"file-{file_id}"
+                    if self.has_collection(file_collection_name):
+                        log.info(
+                            f"Found related file-specific collection '{file_collection_name}', deleting it to prevent duplicates"
+                        )
+                        self.delete_collection(file_collection_name)
+
+                # For the main collection, implement query-then-delete
+                # First, query to get IDs matching the filter
+                query_result = self.query(collection_name, filter)
+                if query_result and query_result.ids and query_result.ids[0]:
+                    matching_ids = query_result.ids[0]
+                    log.info(
+                        f"Found {len(matching_ids)} vectors matching filter, deleting them"
+                    )
+
+                    # Delete the matching vectors by ID
+                    self.client.delete_vectors(
+                        vectorBucketName=self.bucket_name,
+                        indexName=collection_name,
+                        keys=matching_ids,
+                    )
+                    log.info(
+                        f"Deleted {len(matching_ids)} vectors from index '{collection_name}' using filter"
+                    )
+                else:
+                    log.warning("No vectors found matching the filter criteria")
+            else:
+                log.warning("No IDs or filter provided for deletion")
+        except Exception as e:
+            log.error(
+                f"Error deleting vectors from collection '{collection_name}': {e}"
+            )
+            raise
+
+    def reset(self) -> None:
+        """
+        Reset/clear all vector data. For S3 Vector, this deletes all indexes.
+        """
+
+        try:
+            log.warning(
+                "Reset called - this will delete all vector indexes in the S3 bucket"
+            )
+
+            # List all indexes
+            response = self.client.list_indexes(vectorBucketName=self.bucket_name)
+            indexes = response.get("indexes", [])
+
+            if not indexes:
+                log.warning("No indexes found to delete")
+                return
+
+            # Delete all indexes
+            deleted_count = 0
+            for index in indexes:
+                index_name = index.get("indexName")
+                if index_name:
+                    try:
+                        self.client.delete_index(
+                            vectorBucketName=self.bucket_name, indexName=index_name
+                        )
+                        deleted_count += 1
+                        log.info(f"Deleted index: {index_name}")
+                    except Exception as e:
+                        log.error(f"Error deleting index '{index_name}': {e}")
+
+            log.info(f"Reset completed: deleted {deleted_count} indexes")
+
+        except Exception as e:
+            log.error(f"Error during reset: {e}")
+            raise
+
+    def _matches_filter(self, metadata: Dict[str, Any], filter: Dict[str, Any]) -> bool:
+        """
+        Check if metadata matches the given filter conditions.
+        """
+        if not isinstance(metadata, dict) or not isinstance(filter, dict):
+            return False
+
+        # Check each filter condition
+        for key, expected_value in filter.items():
+            # Handle special operators
+            if key.startswith("$"):
+                if key == "$and":
+                    # All conditions must match
+                    if not isinstance(expected_value, list):
+                        continue
+                    for condition in expected_value:
+                        if not self._matches_filter(metadata, condition):
+                            return False
+                elif key == "$or":
+                    # At least one condition must match
+                    if not isinstance(expected_value, list):
+                        continue
+                    any_match = False
+                    for condition in expected_value:
+                        if self._matches_filter(metadata, condition):
+                            any_match = True
+                            break
+                    if not any_match:
+                        return False
+                continue
+
+            # Get the actual value from metadata
+            actual_value = metadata.get(key)
+
+            # Handle different types of expected values
+            if isinstance(expected_value, dict):
+                # Handle comparison operators
+                for op, op_value in expected_value.items():
+                    if op == "$eq":
+                        if actual_value != op_value:
+                            return False
+                    elif op == "$ne":
+                        if actual_value == op_value:
+                            return False
+                    elif op == "$in":
+                        if (
+                            not isinstance(op_value, list)
+                            or actual_value not in op_value
+                        ):
+                            return False
+                    elif op == "$nin":
+                        if isinstance(op_value, list) and actual_value in op_value:
+                            return False
+                    elif op == "$exists":
+                        if bool(op_value) != (key in metadata):
+                            return False
+                    # Add more operators as needed
+            else:
+                # Simple equality check
+                if actual_value != expected_value:
+                    return False
+
+        return True

backend/open_webui/retrieval/vector/factory.py

@@ -30,6 +30,10 @@ class Vector:
                 from open_webui.retrieval.vector.dbs.pinecone import PineconeClient
 
                 return PineconeClient()
+            case VectorType.S3VECTOR:
+                from open_webui.retrieval.vector.dbs.s3vector import S3VectorClient
+
+                return S3VectorClient()
             case VectorType.OPENSEARCH:
                 from open_webui.retrieval.vector.dbs.opensearch import OpenSearchClient
 

backend/open_webui/retrieval/vector/utils.py

@@ -0,0 +1,14 @@
+from datetime import datetime
+
+
+def stringify_metadata(
+    metadata: dict[str, any],
+) -> dict[str, any]:
+    for key, value in metadata.items():
+        if (
+            isinstance(value, datetime)
+            or isinstance(value, list)
+            or isinstance(value, dict)
+        ):
+            metadata[key] = str(value)
+    return metadata

backend/open_webui/retrieval/web/brave.py

@@ -36,7 +36,9 @@ def search_brave(
 
     return [
         SearchResult(
-            link=result["url"], title=result.get("title"), snippet=result.get("snippet")
+            link=result["url"],
+            title=result.get("title"),
+            snippet=result.get("description"),
         )
         for result in results[:count]
     ]

backend/open_webui/retrieval/web/duckduckgo.py

@@ -2,8 +2,8 @@ import logging
 from typing import Optional
 
 from open_webui.retrieval.web.main import SearchResult, get_filtered_results
-from duckduckgo_search import DDGS
+from ddgs import DDGS
-from duckduckgo_search.exceptions import RatelimitException
+from ddgs.exceptions import RatelimitException
 from open_webui.env import SRC_LOG_LEVELS
 
 log = logging.getLogger(__name__)

backend/open_webui/routers/audio.py

@@ -15,6 +15,7 @@ import aiohttp
 import aiofiles
 import requests
 import mimetypes
+from urllib.parse import quote
 
 from fastapi import (
     Depends,
@@ -327,6 +328,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
         log.exception(e)
         raise HTTPException(status_code=400, detail="Invalid JSON payload")
 
+    r = None
     if request.app.state.config.TTS_ENGINE == "openai":
         payload["model"] = request.app.state.config.TTS_MODEL
 
@@ -335,7 +337,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
             async with aiohttp.ClientSession(
                 timeout=timeout, trust_env=True
             ) as session:
-                async with session.post(
+                r = await session.post(
                     url=f"{request.app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech",
                     json=payload,
                     headers={
@@ -343,7 +345,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
                         "Authorization": f"Bearer {request.app.state.config.TTS_OPENAI_API_KEY}",
                         **(
                             {
-                                "X-OpenWebUI-User-Name": user.name,
+                                "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                                 "X-OpenWebUI-User-Id": user.id,
                                 "X-OpenWebUI-User-Email": user.email,
                                 "X-OpenWebUI-User-Role": user.role,
@@ -353,7 +355,8 @@ async def speech(request: Request, user=Depends(get_verified_user)):
                         ),
                     },
                     ssl=AIOHTTP_CLIENT_SESSION_SSL,
-                ) as r:
+                )
+
                 r.raise_for_status()
 
                 async with aiofiles.open(file_path, "wb") as f:
@@ -368,18 +371,22 @@ async def speech(request: Request, user=Depends(get_verified_user)):
             log.exception(e)
             detail = None
 
-            try:
+            status_code = 500
-                if r.status != 200:
+            detail = f"Open WebUI: Server Connection Error"
-                    res = await r.json()
 
+            if r is not None:
+                status_code = r.status
+
+                try:
+                    res = await r.json()
                     if "error" in res:
-                        detail = f"External: {res['error'].get('message', '')}"
+                        detail = f"External: {res['error']}"
                 except Exception:
                     detail = f"External: {e}"
 
             raise HTTPException(
-                status_code=getattr(r, "status", 500) if r else 500,
+                status_code=status_code,
-                detail=detail if detail else "Open WebUI: Server Connection Error",
+                detail=detail,
             )
 
     elif request.app.state.config.TTS_ENGINE == "elevenlabs":
@@ -554,7 +561,11 @@ def transcription_handler(request, file_path, metadata):
             file_path,
             beam_size=5,
             vad_filter=request.app.state.config.WHISPER_VAD_FILTER,
-            language=metadata.get("language") or WHISPER_LANGUAGE,
+            language=(
+                metadata.get("language", None)
+                if WHISPER_LANGUAGE == ""
+                else WHISPER_LANGUAGE
+            ),
         )
         log.info(
             "Detected language '%s' with probability %f"
@@ -919,14 +930,18 @@ def transcription(
 ):
     log.info(f"file.content_type: {file.content_type}")
 
-    supported_content_types = request.app.state.config.STT_SUPPORTED_CONTENT_TYPES or [
+    stt_supported_content_types = getattr(
-        "audio/*",
+        request.app.state.config, "STT_SUPPORTED_CONTENT_TYPES", []
-        "video/webm",
+    )
-    ]
 
     if not any(
         fnmatch(file.content_type, content_type)
-        for content_type in supported_content_types
+        for content_type in (
+            stt_supported_content_types
+            if stt_supported_content_types
+            and any(t.strip() for t in stt_supported_content_types)
+            else ["audio/*", "video/webm"]
+        )
     ):
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,

backend/open_webui/routers/auths.py

@@ -669,12 +669,13 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
 @router.get("/signout")
 async def signout(request: Request, response: Response):
     response.delete_cookie("token")
+    response.delete_cookie("oui-session")
 
     if ENABLE_OAUTH_SIGNUP.value:
         oauth_id_token = request.cookies.get("oauth_id_token")
         if oauth_id_token:
             try:
-                async with ClientSession() as session:
+                async with ClientSession(trust_env=True) as session:
                     async with session.get(OPENID_PROVIDER_URL.value) as resp:
                         if resp.status == 200:
                             openid_data = await resp.json()
@@ -686,7 +687,12 @@ async def signout(request: Request, response: Response):
                                     status_code=200,
                                     content={
                                         "status": True,
-                                        "redirect_url": f"{logout_url}?id_token_hint={oauth_id_token}",
+                                        "redirect_url": f"{logout_url}?id_token_hint={oauth_id_token}"
+                                        + (
+                                            f"&post_logout_redirect_uri={WEBUI_AUTH_SIGNOUT_REDIRECT_URL}"
+                                            if WEBUI_AUTH_SIGNOUT_REDIRECT_URL
+                                            else ""
+                                        ),
                                     },
                                     headers=response.headers,
                                 )

backend/open_webui/routers/channels.py

@@ -40,9 +40,13 @@ router = APIRouter()
 
 @router.get("/", response_model=list[ChannelModel])
 async def get_channels(user=Depends(get_verified_user)):
+    return Channels.get_channels_by_user_id(user.id)
+
+
+@router.get("/list", response_model=list[ChannelModel])
+async def get_all_channels(user=Depends(get_verified_user)):
     if user.role == "admin":
         return Channels.get_channels()
-    else:
     return Channels.get_channels_by_user_id(user.id)
 
 
@@ -430,13 +434,6 @@ async def update_message_by_id(
             status_code=status.HTTP_404_NOT_FOUND, detail=ERROR_MESSAGES.NOT_FOUND
         )
 
-    if user.role != "admin" and not has_access(
-        user.id, type="read", access_control=channel.access_control
-    ):
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
-        )
-
     message = Messages.get_message_by_id(message_id)
     if not message:
         raise HTTPException(
@@ -448,6 +445,15 @@ async def update_message_by_id(
             status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT()
         )
 
+    if (
+        user.role != "admin"
+        and message.user_id != user.id
+        and not has_access(user.id, type="read", access_control=channel.access_control)
+    ):
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
+        )
+
     try:
         message = Messages.update_message_by_id(message_id, form_data)
         message = Messages.get_message_by_id(message_id)
@@ -637,13 +643,6 @@ async def delete_message_by_id(
             status_code=status.HTTP_404_NOT_FOUND, detail=ERROR_MESSAGES.NOT_FOUND
         )
 
-    if user.role != "admin" and not has_access(
-        user.id, type="read", access_control=channel.access_control
-    ):
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
-        )
-
     message = Messages.get_message_by_id(message_id)
     if not message:
         raise HTTPException(
@@ -655,6 +654,15 @@ async def delete_message_by_id(
             status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT()
         )
 
+    if (
+        user.role != "admin"
+        and message.user_id != user.id
+        and not has_access(user.id, type="read", access_control=channel.access_control)
+    ):
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.DEFAULT()
+        )
+
     try:
         Messages.delete_message_by_id(message_id)
         await sio.emit(

backend/open_webui/routers/chats.py

@@ -39,13 +39,21 @@ router = APIRouter()
 async def get_session_user_chat_list(
     user=Depends(get_verified_user), page: Optional[int] = None
 ):
+    try:
         if page is not None:
             limit = 60
             skip = (page - 1) * limit
 
-        return Chats.get_chat_title_id_list_by_user_id(user.id, skip=skip, limit=limit)
+            return Chats.get_chat_title_id_list_by_user_id(
+                user.id, skip=skip, limit=limit
+            )
         else:
             return Chats.get_chat_title_id_list_by_user_id(user.id)
+    except Exception as e:
+        log.exception(e)
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT()
+        )
 
 
 ############################
@@ -684,8 +692,10 @@ async def archive_chat_by_id(id: str, user=Depends(get_verified_user)):
 
 @router.post("/{id}/share", response_model=Optional[ChatResponse])
 async def share_chat_by_id(request: Request, id: str, user=Depends(get_verified_user)):
-    if not has_permission(
+    if (user.role != "admin") and (
+        not has_permission(
             user.id, "chat.share", request.app.state.config.USER_PERMISSIONS
+        )
     ):
         raise HTTPException(
             status_code=status.HTTP_401_UNAUTHORIZED,

backend/open_webui/routers/configs.py

@@ -7,7 +7,11 @@ 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
+from open_webui.utils.tools import (
+    get_tool_server_data,
+    get_tool_servers_data,
+    get_tool_server_url,
+)
 
 
 router = APIRouter()
@@ -39,32 +43,39 @@ async def export_config(user=Depends(get_admin_user)):
 
 
 ############################
-# Direct Connections Config
+# Connections Config
 ############################
 
 
-class DirectConnectionsConfigForm(BaseModel):
+class ConnectionsConfigForm(BaseModel):
     ENABLE_DIRECT_CONNECTIONS: bool
+    ENABLE_BASE_MODELS_CACHE: bool
 
 
-@router.get("/direct_connections", response_model=DirectConnectionsConfigForm)
+@router.get("/connections", response_model=ConnectionsConfigForm)
-async def get_direct_connections_config(request: Request, user=Depends(get_admin_user)):
+async def get_connections_config(request: Request, user=Depends(get_admin_user)):
     return {
         "ENABLE_DIRECT_CONNECTIONS": request.app.state.config.ENABLE_DIRECT_CONNECTIONS,
+        "ENABLE_BASE_MODELS_CACHE": request.app.state.config.ENABLE_BASE_MODELS_CACHE,
     }
 
 
-@router.post("/direct_connections", response_model=DirectConnectionsConfigForm)
+@router.post("/connections", response_model=ConnectionsConfigForm)
-async def set_direct_connections_config(
+async def set_connections_config(
     request: Request,
-    form_data: DirectConnectionsConfigForm,
+    form_data: ConnectionsConfigForm,
     user=Depends(get_admin_user),
 ):
     request.app.state.config.ENABLE_DIRECT_CONNECTIONS = (
         form_data.ENABLE_DIRECT_CONNECTIONS
     )
+    request.app.state.config.ENABLE_BASE_MODELS_CACHE = (
+        form_data.ENABLE_BASE_MODELS_CACHE
+    )
+
     return {
         "ENABLE_DIRECT_CONNECTIONS": request.app.state.config.ENABLE_DIRECT_CONNECTIONS,
+        "ENABLE_BASE_MODELS_CACHE": request.app.state.config.ENABLE_BASE_MODELS_CACHE,
     }
 
 
@@ -128,7 +139,7 @@ async def verify_tool_servers_config(
         elif form_data.auth_type == "session":
             token = request.state.token.credentials
 
-        url = f"{form_data.url}/{form_data.path}"
+        url = get_tool_server_url(form_data.url, form_data.path)
         return await get_tool_server_data(token, url)
     except Exception as e:
         raise HTTPException(

backend/open_webui/routers/evaluations.py

@@ -129,6 +129,9 @@ async def create_feedback(
 
 @router.get("/feedback/{id}", response_model=FeedbackModel)
 async def get_feedback_by_id(id: str, user=Depends(get_verified_user)):
+    if user.role == "admin":
+        feedback = Feedbacks.get_feedback_by_id(id=id)
+    else:
         feedback = Feedbacks.get_feedback_by_id_and_user_id(id=id, user_id=user.id)
 
     if not feedback:
@@ -143,6 +146,9 @@ async def get_feedback_by_id(id: str, user=Depends(get_verified_user)):
 async def update_feedback_by_id(
     id: str, form_data: FeedbackForm, user=Depends(get_verified_user)
 ):
+    if user.role == "admin":
+        feedback = Feedbacks.update_feedback_by_id(id=id, form_data=form_data)
+    else:
         feedback = Feedbacks.update_feedback_by_id_and_user_id(
             id=id, user_id=user.id, form_data=form_data
         )

backend/open_webui/routers/files.py

@@ -21,6 +21,7 @@ from fastapi import (
 from fastapi.responses import FileResponse, StreamingResponse
 from open_webui.constants import ERROR_MESSAGES
 from open_webui.env import SRC_LOG_LEVELS
+from open_webui.retrieval.vector.factory import VECTOR_DB_CLIENT
 
 from open_webui.models.users import Users
 from open_webui.models.files import (
@@ -155,17 +156,18 @@ def upload_file(
         if process:
             try:
                 if file.content_type:
-                    stt_supported_content_types = (
+                    stt_supported_content_types = getattr(
-                        request.app.state.config.STT_SUPPORTED_CONTENT_TYPES
+                        request.app.state.config, "STT_SUPPORTED_CONTENT_TYPES", []
-                        or [
-                            "audio/*",
-                            "video/webm",
-                        ]
                     )
 
                     if any(
                         fnmatch(file.content_type, content_type)
-                        for content_type in stt_supported_content_types
+                        for content_type in (
+                            stt_supported_content_types
+                            if stt_supported_content_types
+                            and any(t.strip() for t in stt_supported_content_types)
+                            else ["audio/*", "video/webm"]
+                        )
                     ):
                         file_path = Storage.get_file(file_path)
                         result = transcribe(request, file_path, file_metadata)
@@ -285,6 +287,7 @@ async def delete_all_files(user=Depends(get_admin_user)):
     if result:
         try:
             Storage.delete_all_files()
+            VECTOR_DB_CLIENT.reset()
         except Exception as e:
             log.exception(e)
             log.error("Error deleting files")
@@ -602,12 +605,12 @@ async def delete_file_by_id(id: str, user=Depends(get_verified_user)):
         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)
         if result:
             try:
                 Storage.delete_file(file.path)
+                VECTOR_DB_CLIENT.delete(collection_name=f"file-{id}")
             except Exception as e:
                 log.exception(e)
                 log.error("Error deleting files")

backend/open_webui/routers/folders.py

@@ -49,7 +49,7 @@ async def get_folders(user=Depends(get_verified_user)):
             **folder.model_dump(),
             "items": {
                 "chats": [
-                    {"title": chat.title, "id": chat.id}
+                    {"title": chat.title, "id": chat.id, "updated_at": chat.updated_at}
                     for chat in Chats.get_chats_by_folder_id_and_user_id(
                         folder.id, user.id
                     )
@@ -78,7 +78,7 @@ def create_folder(form_data: FolderForm, user=Depends(get_verified_user)):
         )
 
     try:
-        folder = Folders.insert_new_folder(user.id, form_data.name)
+        folder = Folders.insert_new_folder(user.id, form_data)
         return folder
     except Exception as e:
         log.exception(e)
@@ -120,16 +120,14 @@ async def update_folder_name_by_id(
         existing_folder = Folders.get_folder_by_parent_id_and_user_id_and_name(
             folder.parent_id, user.id, form_data.name
         )
-        if existing_folder:
+        if existing_folder and existing_folder.id != id:
             raise HTTPException(
                 status_code=status.HTTP_400_BAD_REQUEST,
                 detail=ERROR_MESSAGES.DEFAULT("Folder already exists"),
             )
 
         try:
-            folder = Folders.update_folder_name_by_id_and_user_id(
+            folder = Folders.update_folder_by_id_and_user_id(id, user.id, form_data)
-                id, user.id, form_data.name
-            )
 
             return folder
         except Exception as e:

backend/open_webui/routers/functions.py

@@ -105,7 +105,7 @@ async def load_function_from_url(
     )
 
     try:
-        async with aiohttp.ClientSession() as session:
+        async with aiohttp.ClientSession(trust_env=True) as session:
             async with session.get(
                 url, headers={"Content-Type": "application/json"}
             ) as resp:
@@ -131,15 +131,29 @@ async def load_function_from_url(
 ############################
 
 
-class SyncFunctionsForm(FunctionForm):
+class SyncFunctionsForm(BaseModel):
     functions: list[FunctionModel] = []
 
 
-@router.post("/sync", response_model=Optional[FunctionModel])
+@router.post("/sync", response_model=list[FunctionModel])
 async def sync_functions(
     request: Request, form_data: SyncFunctionsForm, user=Depends(get_admin_user)
 ):
+    try:
+        for function in form_data.functions:
+            function.content = replace_imports(function.content)
+            function_module, function_type, frontmatter = load_function_module_by_id(
+                function.id,
+                content=function.content,
+            )
+
         return Functions.sync_functions(user.id, form_data.functions)
+    except Exception as e:
+        log.exception(f"Failed to load a function: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.DEFAULT(e),
+        )
 
 
 ############################

backend/open_webui/routers/groups.py

@@ -9,6 +9,7 @@ from open_webui.models.groups import (
     GroupForm,
     GroupUpdateForm,
     GroupResponse,
+    UserIdsForm,
 )
 
 from open_webui.config import CACHE_DIR
@@ -107,6 +108,56 @@ async def update_group_by_id(
         )
 
 
+############################
+# AddUserToGroupByUserIdAndGroupId
+############################
+
+
+@router.post("/id/{id}/users/add", response_model=Optional[GroupResponse])
+async def add_user_to_group(
+    id: str, form_data: UserIdsForm, user=Depends(get_admin_user)
+):
+    try:
+        if form_data.user_ids:
+            form_data.user_ids = Users.get_valid_user_ids(form_data.user_ids)
+
+        group = Groups.add_users_to_group(id, form_data.user_ids)
+        if group:
+            return group
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=ERROR_MESSAGES.DEFAULT("Error adding users to group"),
+            )
+    except Exception as e:
+        log.exception(f"Error adding users to group {id}: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.DEFAULT(e),
+        )
+
+
+@router.post("/id/{id}/users/remove", response_model=Optional[GroupResponse])
+async def remove_users_from_group(
+    id: str, form_data: UserIdsForm, user=Depends(get_admin_user)
+):
+    try:
+        group = Groups.remove_users_from_group(id, form_data.user_ids)
+        if group:
+            return group
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=ERROR_MESSAGES.DEFAULT("Error removing users from group"),
+            )
+    except Exception as e:
+        log.exception(f"Error removing users from group {id}: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.DEFAULT(e),
+        )
+
+
 ############################
 # DeleteGroupById
 ############################

backend/open_webui/routers/images.py

@@ -8,6 +8,7 @@ import re
 from pathlib import Path
 from typing import Optional
 
+from urllib.parse import quote
 import requests
 from fastapi import APIRouter, Depends, HTTPException, Request, UploadFile
 from open_webui.config import CACHE_DIR
@@ -302,8 +303,16 @@ async def update_image_config(
 ):
     set_image_model(request, form_data.MODEL)
 
+    if form_data.IMAGE_SIZE == "auto" and form_data.MODEL != "gpt-image-1":
+        raise HTTPException(
+            status_code=400,
+            detail=ERROR_MESSAGES.INCORRECT_FORMAT(
+                "  (auto is only allowed with gpt-image-1)."
+            ),
+        )
+
     pattern = r"^\d+x\d+$"
-    if re.match(pattern, form_data.IMAGE_SIZE):
+    if form_data.IMAGE_SIZE == "auto" or re.match(pattern, form_data.IMAGE_SIZE):
         request.app.state.config.IMAGE_SIZE = form_data.IMAGE_SIZE
     else:
         raise HTTPException(
@@ -471,7 +480,14 @@ async def image_generations(
     form_data: GenerateImageForm,
     user=Depends(get_verified_user),
 ):
-    width, height = tuple(map(int, request.app.state.config.IMAGE_SIZE.split("x")))
+    # if IMAGE_SIZE = 'auto', default WidthxHeight to the 512x512 default
+    # This is only relevant when the user has set IMAGE_SIZE to 'auto' with an
+    # image model other than gpt-image-1, which is warned about on settings save
+    width, height = (
+        tuple(map(int, request.app.state.config.IMAGE_SIZE.split("x")))
+        if "x" in request.app.state.config.IMAGE_SIZE
+        else (512, 512)
+    )
 
     r = None
     try:
@@ -483,7 +499,7 @@ async def image_generations(
             headers["Content-Type"] = "application/json"
 
             if ENABLE_FORWARD_USER_INFO_HEADERS:
-                headers["X-OpenWebUI-User-Name"] = user.name
+                headers["X-OpenWebUI-User-Name"] = quote(user.name, safe=" ")
                 headers["X-OpenWebUI-User-Id"] = user.id
                 headers["X-OpenWebUI-User-Email"] = user.email
                 headers["X-OpenWebUI-User-Role"] = user.role

backend/open_webui/routers/memories.py

@@ -82,6 +82,10 @@ class QueryMemoryForm(BaseModel):
 async def query_memory(
     request: Request, form_data: QueryMemoryForm, user=Depends(get_verified_user)
 ):
+    memories = Memories.get_memories_by_user_id(user.id)
+    if not memories:
+        raise HTTPException(status_code=404, detail="No memories found for user")
+
     results = VECTOR_DB_CLIENT.search(
         collection_name=f"user-memory-{user.id}",
         vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content, user=user)],

backend/open_webui/routers/models.py

@@ -7,6 +7,8 @@ from open_webui.models.models import (
     ModelUserResponse,
     Models,
 )
+
+from pydantic import BaseModel
 from open_webui.constants import ERROR_MESSAGES
 from fastapi import APIRouter, Depends, HTTPException, Request, status
 
@@ -78,6 +80,32 @@ async def create_new_model(
             )
 
 
+############################
+# ExportModels
+############################
+
+
+@router.get("/export", response_model=list[ModelModel])
+async def export_models(user=Depends(get_admin_user)):
+    return Models.get_models()
+
+
+############################
+# SyncModels
+############################
+
+
+class SyncModelsForm(BaseModel):
+    models: list[ModelModel] = []
+
+
+@router.post("/sync", response_model=list[ModelModel])
+async def sync_models(
+    request: Request, form_data: SyncModelsForm, user=Depends(get_admin_user)
+):
+    return Models.sync_models(user.id, form_data.models)
+
+
 ###########################
 # GetModelById
 ###########################
@@ -102,7 +130,7 @@ async def get_model_by_id(id: str, user=Depends(get_verified_user)):
 
 
 ############################
-# ToggelModelById
+# ToggleModelById
 ############################
 
 

backend/open_webui/routers/notes.py

@@ -6,6 +6,9 @@ from typing import Optional
 from fastapi import APIRouter, Depends, HTTPException, Request, status, BackgroundTasks
 from pydantic import BaseModel
 
+from open_webui.socket.main import sio
+
+
 from open_webui.models.users import Users, UserResponse
 from open_webui.models.notes import Notes, NoteModel, NoteForm, NoteUserResponse
 
@@ -51,7 +54,14 @@ async def get_notes(request: Request, user=Depends(get_verified_user)):
     return notes
 
 
-@router.get("/list", response_model=list[NoteUserResponse])
+class NoteTitleIdResponse(BaseModel):
+    id: str
+    title: str
+    updated_at: int
+    created_at: int
+
+
+@router.get("/list", response_model=list[NoteTitleIdResponse])
 async def get_note_list(request: Request, user=Depends(get_verified_user)):
 
     if user.role != "admin" and not has_permission(
@@ -63,13 +73,8 @@ async def get_note_list(request: Request, user=Depends(get_verified_user)):
         )
 
     notes = [
-        NoteUserResponse(
+        NoteTitleIdResponse(**note.model_dump())
-            **{
+        for note in Notes.get_notes_by_user_id(user.id, "write")
-                **note.model_dump(),
-                "user": UserResponse(**Users.get_user_by_id(note.user_id).model_dump()),
-            }
-        )
-        for note in Notes.get_notes_by_user_id(user.id, "read")
     ]
 
     return notes
@@ -168,6 +173,12 @@ async def update_note_by_id(
 
     try:
         note = Notes.update_note_by_id(id, form_data)
+        await sio.emit(
+            "note-events",
+            note.model_dump(),
+            to=f"note:{note.id}",
+        )
+
         return note
     except Exception as e:
         log.exception(e)

backend/open_webui/routers/ollama.py

@@ -16,6 +16,7 @@ from urllib.parse import urlparse
 import aiohttp
 from aiocache import cached
 import requests
+from urllib.parse import quote
 
 from open_webui.models.chats import Chats
 from open_webui.models.users import UserModel
@@ -58,6 +59,7 @@ from open_webui.config import (
 from open_webui.env import (
     ENV,
     SRC_LOG_LEVELS,
+    MODELS_CACHE_TTL,
     AIOHTTP_CLIENT_SESSION_SSL,
     AIOHTTP_CLIENT_TIMEOUT,
     AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST,
@@ -87,7 +89,7 @@ async def send_get_request(url, key=None, user: UserModel = None):
                     **({"Authorization": f"Bearer {key}"} if key else {}),
                     **(
                         {
-                            "X-OpenWebUI-User-Name": user.name,
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                             "X-OpenWebUI-User-Id": user.id,
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
@@ -122,6 +124,7 @@ async def send_post_request(
     key: Optional[str] = None,
     content_type: Optional[str] = None,
     user: UserModel = None,
+    metadata: Optional[dict] = None,
 ):
 
     r = None
@@ -138,10 +141,15 @@ async def send_post_request(
                 **({"Authorization": f"Bearer {key}"} if key else {}),
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
+                        **(
+                            {"X-OpenWebUI-Chat-Id": metadata.get("chat_id")}
+                            if metadata and metadata.get("chat_id")
+                            else {}
+                        ),
                     }
                     if ENABLE_FORWARD_USER_INFO_HEADERS and user
                     else {}
@@ -182,7 +190,6 @@ async def send_post_request(
             )
         else:
             res = await r.json()
-            await cleanup_response(r, session)
             return res
 
     except HTTPException as e:
@@ -194,6 +201,9 @@ async def send_post_request(
             status_code=r.status if r else 500,
             detail=detail if e else "Open WebUI: Server Connection Error",
         )
+    finally:
+        if not stream:
+            await cleanup_response(r, session)
 
 
 def get_api_key(idx, url, configs):
@@ -242,7 +252,7 @@ async def verify_connection(
                     **({"Authorization": f"Bearer {key}"} if key else {}),
                     **(
                         {
-                            "X-OpenWebUI-User-Name": user.name,
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                             "X-OpenWebUI-User-Id": user.id,
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
@@ -329,7 +339,7 @@ def merge_ollama_models_lists(model_lists):
     return list(merged_models.values())
 
 
-@cached(ttl=1)
+@cached(ttl=MODELS_CACHE_TTL)
 async def get_all_models(request: Request, user: UserModel = None):
     log.info("get_all_models()")
     if request.app.state.config.ENABLE_OLLAMA_API:
@@ -462,7 +472,7 @@ async def get_ollama_tags(
                     **({"Authorization": f"Bearer {key}"} if key else {}),
                     **(
                         {
-                            "X-OpenWebUI-User-Name": user.name,
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                             "X-OpenWebUI-User-Id": user.id,
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
@@ -634,7 +644,10 @@ async def get_ollama_versions(request: Request, url_idx: Optional[int] = None):
 
 
 class ModelNameForm(BaseModel):
-    name: str
+    model: Optional[str] = None
+    model_config = ConfigDict(
+        extra="allow",
+    )
 
 
 @router.post("/api/unload")
@@ -643,10 +656,12 @@ async def unload_model(
     form_data: ModelNameForm,
     user=Depends(get_admin_user),
 ):
-    model_name = form_data.name
+    form_data = form_data.model_dump(exclude_none=True)
+    model_name = form_data.get("model", form_data.get("name"))
+
     if not model_name:
         raise HTTPException(
-            status_code=400, detail="Missing 'name' of model to unload."
+            status_code=400, detail="Missing name of the model to unload."
         )
 
     # Refresh/load models if needed, get mapping from name to URLs
@@ -709,11 +724,14 @@ async def pull_model(
     url_idx: int = 0,
     user=Depends(get_admin_user),
 ):
+    form_data = form_data.model_dump(exclude_none=True)
+    form_data["model"] = form_data.get("model", form_data.get("name"))
+
     url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
     log.info(f"url: {url}")
 
     # Admin should be able to pull models from any source
-    payload = {**form_data.model_dump(exclude_none=True), "insecure": True}
+    payload = {**form_data, "insecure": True}
 
     return await send_post_request(
         url=f"{url}/api/pull",
@@ -724,7 +742,7 @@ async def pull_model(
 
 
 class PushModelForm(BaseModel):
-    name: str
+    model: str
     insecure: Optional[bool] = None
     stream: Optional[bool] = None
 
@@ -741,12 +759,12 @@ async def push_model(
         await get_all_models(request, user=user)
         models = request.app.state.OLLAMA_MODELS
 
-        if form_data.name in models:
+        if form_data.model in models:
-            url_idx = models[form_data.name]["urls"][0]
+            url_idx = models[form_data.model]["urls"][0]
         else:
             raise HTTPException(
                 status_code=400,
-                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
+                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
             )
 
     url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
@@ -824,7 +842,7 @@ async def copy_model(
                 **({"Authorization": f"Bearer {key}"} if key else {}),
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -865,16 +883,21 @@ async def delete_model(
     url_idx: Optional[int] = None,
     user=Depends(get_admin_user),
 ):
+    form_data = form_data.model_dump(exclude_none=True)
+    form_data["model"] = form_data.get("model", form_data.get("name"))
+
+    model = form_data.get("model")
+
     if url_idx is None:
         await get_all_models(request, user=user)
         models = request.app.state.OLLAMA_MODELS
 
-        if form_data.name in models:
+        if model in models:
-            url_idx = models[form_data.name]["urls"][0]
+            url_idx = models[model]["urls"][0]
         else:
             raise HTTPException(
                 status_code=400,
-                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
+                detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model),
             )
 
     url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
@@ -884,13 +907,13 @@ async def delete_model(
         r = requests.request(
             method="DELETE",
             url=f"{url}/api/delete",
-            data=form_data.model_dump_json(exclude_none=True).encode(),
+            data=json.dumps(form_data).encode(),
             headers={
                 "Content-Type": "application/json",
                 **({"Authorization": f"Bearer {key}"} if key else {}),
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -926,16 +949,21 @@ async def delete_model(
 async def show_model_info(
     request: Request, form_data: ModelNameForm, user=Depends(get_verified_user)
 ):
+    form_data = form_data.model_dump(exclude_none=True)
+    form_data["model"] = form_data.get("model", form_data.get("name"))
+
     await get_all_models(request, user=user)
     models = request.app.state.OLLAMA_MODELS
 
-    if form_data.name not in models:
+    model = form_data.get("model")
+
+    if model not in models:
         raise HTTPException(
             status_code=400,
-            detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
+            detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model),
         )
 
-    url_idx = random.choice(models[form_data.name]["urls"])
+    url_idx = random.choice(models[model]["urls"])
 
     url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
     key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
@@ -949,7 +977,7 @@ async def show_model_info(
                 **({"Authorization": f"Bearer {key}"} if key else {}),
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -958,7 +986,7 @@ async def show_model_info(
                     else {}
                 ),
             },
-            data=form_data.model_dump_json(exclude_none=True).encode(),
+            data=json.dumps(form_data).encode(),
         )
         r.raise_for_status()
 
@@ -1036,7 +1064,7 @@ async def embed(
                 **({"Authorization": f"Bearer {key}"} if key else {}),
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -1123,7 +1151,7 @@ async def embeddings(
                 **({"Authorization": f"Bearer {key}"} if key else {}),
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -1343,6 +1371,7 @@ async def generate_chat_completion(
         key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
         content_type="application/x-ndjson",
         user=user,
+        metadata=metadata,
     )
 
 
@@ -1381,6 +1410,8 @@ async def generate_openai_completion(
     url_idx: Optional[int] = None,
     user=Depends(get_verified_user),
 ):
+    metadata = form_data.pop("metadata", None)
+
     try:
         form_data = OpenAICompletionForm(**form_data)
     except Exception as e:
@@ -1446,6 +1477,7 @@ async def generate_openai_completion(
         stream=payload.get("stream", False),
         key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
         user=user,
+        metadata=metadata,
     )
 
 
@@ -1527,6 +1559,7 @@ async def generate_openai_chat_completion(
         stream=payload.get("stream", False),
         key=get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS),
         user=user,
+        metadata=metadata,
     )
 
 

backend/open_webui/routers/openai.py

@@ -8,7 +8,7 @@ from typing import Literal, Optional, overload
 import aiohttp
 from aiocache import cached
 import requests
-
+from urllib.parse import quote
 
 from fastapi import Depends, FastAPI, HTTPException, Request, APIRouter
 from fastapi.middleware.cors import CORSMiddleware
@@ -21,6 +21,7 @@ from open_webui.config import (
     CACHE_DIR,
 )
 from open_webui.env import (
+    MODELS_CACHE_TTL,
     AIOHTTP_CLIENT_SESSION_SSL,
     AIOHTTP_CLIENT_TIMEOUT,
     AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST,
@@ -66,7 +67,7 @@ async def send_get_request(url, key=None, user: UserModel = None):
                     **({"Authorization": f"Bearer {key}"} if key else {}),
                     **(
                         {
-                            "X-OpenWebUI-User-Name": user.name,
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                             "X-OpenWebUI-User-Id": user.id,
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
@@ -225,7 +226,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
                     ),
                     **(
                         {
-                            "X-OpenWebUI-User-Name": user.name,
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                             "X-OpenWebUI-User-Id": user.id,
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
@@ -361,7 +362,9 @@ async def get_all_models_responses(request: Request, user: UserModel) -> list:
                 response if isinstance(response, list) else response.get("data", [])
             ):
                 if prefix_id:
-                    model["id"] = f"{prefix_id}.{model['id']}"
+                    model["id"] = (
+                        f"{prefix_id}.{model.get('id', model.get('name', ''))}"
+                    )
 
                 if tags:
                     model["tags"] = tags
@@ -386,7 +389,7 @@ async def get_filtered_models(models, user):
     return filtered_models
 
 
-@cached(ttl=1)
+@cached(ttl=MODELS_CACHE_TTL)
 async def get_all_models(request: Request, user: UserModel) -> dict[str, list]:
     log.info("get_all_models()")
 
@@ -478,7 +481,7 @@ async def get_models(
                     "Content-Type": "application/json",
                     **(
                         {
-                            "X-OpenWebUI-User-Name": user.name,
+                            "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                             "X-OpenWebUI-User-Id": user.id,
                             "X-OpenWebUI-User-Email": user.email,
                             "X-OpenWebUI-User-Role": user.role,
@@ -573,7 +576,7 @@ async def verify_connection(
                 "Content-Type": "application/json",
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -633,13 +636,7 @@ async def verify_connection(
             raise HTTPException(status_code=500, detail=error_detail)
 
 
-def convert_to_azure_payload(
+def get_azure_allowed_params(api_version: str) -> set[str]:
-    url,
-    payload: dict,
-):
-    model = payload.get("model", "")
-
-    # Filter allowed parameters based on Azure OpenAI API
     allowed_params = {
         "messages",
         "temperature",
@@ -669,6 +666,23 @@ def convert_to_azure_payload(
         "max_completion_tokens",
     }
 
+    try:
+        if api_version >= "2024-09-01-preview":
+            allowed_params.add("stream_options")
+    except ValueError:
+        log.debug(
+            f"Invalid API version {api_version} for Azure OpenAI. Defaulting to allowed parameters."
+        )
+
+    return allowed_params
+
+
+def convert_to_azure_payload(url, payload: dict, api_version: str):
+    model = payload.get("model", "")
+
+    # Filter allowed parameters based on Azure OpenAI API
+    allowed_params = get_azure_allowed_params(api_version)
+
     # Special handling for o-series models
     if model.startswith("o") and model.endswith("-mini"):
         # Convert max_tokens to max_completion_tokens for o-series models
@@ -806,10 +820,15 @@ async def generate_chat_completion(
         ),
         **(
             {
-                "X-OpenWebUI-User-Name": user.name,
+                "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                 "X-OpenWebUI-User-Id": user.id,
                 "X-OpenWebUI-User-Email": user.email,
                 "X-OpenWebUI-User-Role": user.role,
+                **(
+                    {"X-OpenWebUI-Chat-Id": metadata.get("chat_id")}
+                    if metadata and metadata.get("chat_id")
+                    else {}
+                ),
             }
             if ENABLE_FORWARD_USER_INFO_HEADERS
             else {}
@@ -817,8 +836,8 @@ async def generate_chat_completion(
     }
 
     if api_config.get("azure", False):
-        request_url, payload = convert_to_azure_payload(url, payload)
+        api_version = api_config.get("api_version", "2023-03-15-preview")
-        api_version = api_config.get("api_version", "") or "2023-03-15-preview"
+        request_url, payload = convert_to_azure_payload(url, payload, api_version)
         headers["api-key"] = key
         headers["api-version"] = api_version
         request_url = f"{request_url}/chat/completions?api-version={api_version}"
@@ -881,10 +900,8 @@ async def generate_chat_completion(
             detail=detail if detail else "Open WebUI: Server Connection Error",
         )
     finally:
-        if not streaming and session:
+        if not streaming:
-            if r:
+            await cleanup_response(r, session)
-                r.close()
-            await session.close()
 
 
 async def embeddings(request: Request, form_data: dict, user):
@@ -924,7 +941,7 @@ async def embeddings(request: Request, form_data: dict, user):
                 "Content-Type": "application/json",
                 **(
                     {
-                        "X-OpenWebUI-User-Name": user.name,
+                        "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                         "X-OpenWebUI-User-Id": user.id,
                         "X-OpenWebUI-User-Email": user.email,
                         "X-OpenWebUI-User-Role": user.role,
@@ -963,10 +980,8 @@ async def embeddings(request: Request, form_data: dict, user):
             detail=detail if detail else "Open WebUI: Server Connection Error",
         )
     finally:
-        if not streaming and session:
+        if not streaming:
-            if r:
+            await cleanup_response(r, session)
-                r.close()
-            await session.close()
 
 
 @router.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
@@ -996,7 +1011,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
             "Content-Type": "application/json",
             **(
                 {
-                    "X-OpenWebUI-User-Name": user.name,
+                    "X-OpenWebUI-User-Name": quote(user.name, safe=" "),
                     "X-OpenWebUI-User-Id": user.id,
                     "X-OpenWebUI-User-Email": user.email,
                     "X-OpenWebUI-User-Role": user.role,
@@ -1007,16 +1022,15 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
         }
 
         if api_config.get("azure", False):
+            api_version = api_config.get("api_version", "2023-03-15-preview")
             headers["api-key"] = key
-            headers["api-version"] = (
+            headers["api-version"] = api_version
-                api_config.get("api_version", "") or "2023-03-15-preview"
-            )
 
             payload = json.loads(body)
-            url, payload = convert_to_azure_payload(url, payload)
+            url, payload = convert_to_azure_payload(url, payload, api_version)
             body = json.dumps(payload).encode()
 
-            request_url = f"{url}/{path}?api-version={api_config.get('api_version', '2023-03-15-preview')}"
+            request_url = f"{url}/{path}?api-version={api_version}"
         else:
             headers["Authorization"] = f"Bearer {key}"
             request_url = f"{url}/{path}"
@@ -1063,7 +1077,5 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
             detail=detail if detail else "Open WebUI: Server Connection Error",
         )
     finally:
-        if not streaming and session:
+        if not streaming:
-            if r:
+            await cleanup_response(r, session)
-                r.close()
-            await session.close()

backend/open_webui/routers/retrieval.py

@@ -29,6 +29,7 @@ import tiktoken
 
 
 from langchain.text_splitter import RecursiveCharacterTextSplitter, TokenTextSplitter
+from langchain_text_splitters import MarkdownHeaderTextSplitter
 from langchain_core.documents import Document
 
 from open_webui.models.files import FileModel, Files
@@ -69,6 +70,7 @@ from open_webui.retrieval.web.external import search_external
 
 from open_webui.retrieval.utils import (
     get_embedding_function,
+    get_reranking_function,
     get_model_path,
     query_collection,
     query_collection_with_hybrid_search,
@@ -813,7 +815,11 @@ async def update_rag_config(
         f"Updating reranking model: {request.app.state.config.RAG_RERANKING_MODEL} to {form_data.RAG_RERANKING_MODEL}"
     )
     try:
-        request.app.state.config.RAG_RERANKING_MODEL = form_data.RAG_RERANKING_MODEL
+        request.app.state.config.RAG_RERANKING_MODEL = (
+            form_data.RAG_RERANKING_MODEL
+            if form_data.RAG_RERANKING_MODEL is not None
+            else request.app.state.config.RAG_RERANKING_MODEL
+        )
 
         try:
             request.app.state.rf = get_rf(
@@ -823,6 +829,12 @@ async def update_rag_config(
                 request.app.state.config.RAG_EXTERNAL_RERANKER_API_KEY,
                 True,
             )
+
+            request.app.state.RERANKING_FUNCTION = get_reranking_function(
+                request.app.state.config.RAG_RERANKING_ENGINE,
+                request.app.state.config.RAG_RERANKING_MODEL,
+                request.app.state.rf,
+            )
         except Exception as e:
             log.error(f"Error loading reranking model: {e}")
             request.app.state.config.ENABLE_RAG_HYBRID_SEARCH = False
@@ -1146,6 +1158,7 @@ def save_docs_to_vector_db(
                 chunk_overlap=request.app.state.config.CHUNK_OVERLAP,
                 add_start_index=True,
             )
+            docs = text_splitter.split_documents(docs)
         elif request.app.state.config.TEXT_SPLITTER == "token":
             log.info(
                 f"Using token text splitter: {request.app.state.config.TIKTOKEN_ENCODING_NAME}"
@@ -1158,11 +1171,56 @@ def save_docs_to_vector_db(
                 chunk_overlap=request.app.state.config.CHUNK_OVERLAP,
                 add_start_index=True,
             )
+            docs = text_splitter.split_documents(docs)
+        elif request.app.state.config.TEXT_SPLITTER == "markdown_header":
+            log.info("Using markdown header text splitter")
+
+            # Define headers to split on - covering most common markdown header levels
+            headers_to_split_on = [
+                ("#", "Header 1"),
+                ("##", "Header 2"),
+                ("###", "Header 3"),
+                ("####", "Header 4"),
+                ("#####", "Header 5"),
+                ("######", "Header 6"),
+            ]
+
+            markdown_splitter = MarkdownHeaderTextSplitter(
+                headers_to_split_on=headers_to_split_on,
+                strip_headers=False,  # Keep headers in content for context
+            )
+
+            md_split_docs = []
+            for doc in docs:
+                md_header_splits = markdown_splitter.split_text(doc.page_content)
+                text_splitter = RecursiveCharacterTextSplitter(
+                    chunk_size=request.app.state.config.CHUNK_SIZE,
+                    chunk_overlap=request.app.state.config.CHUNK_OVERLAP,
+                    add_start_index=True,
+                )
+                md_header_splits = text_splitter.split_documents(md_header_splits)
+
+                # Convert back to Document objects, preserving original metadata
+                for split_chunk in md_header_splits:
+                    headings_list = []
+                    # Extract header values in order based on headers_to_split_on
+                    for _, header_meta_key_name in headers_to_split_on:
+                        if header_meta_key_name in split_chunk.metadata:
+                            headings_list.append(
+                                split_chunk.metadata[header_meta_key_name]
+                            )
+
+                    md_split_docs.append(
+                        Document(
+                            page_content=split_chunk.page_content,
+                            metadata={**doc.metadata, "headings": headings_list},
+                        )
+                    )
+
+            docs = md_split_docs
         else:
             raise ValueError(ERROR_MESSAGES.DEFAULT("Invalid text splitter"))
 
-        docs = text_splitter.split_documents(docs)
-
     if len(docs) == 0:
         raise ValueError(ERROR_MESSAGES.EMPTY_CONTENT)
 
@@ -1171,27 +1229,14 @@ def save_docs_to_vector_db(
         {
             **doc.metadata,
             **(metadata if metadata else {}),
-            "embedding_config": json.dumps(
+            "embedding_config": {
-                {
                 "engine": request.app.state.config.RAG_EMBEDDING_ENGINE,
                 "model": request.app.state.config.RAG_EMBEDDING_MODEL,
-                }
+            },
-            ),
         }
         for doc in docs
     ]
 
-    # ChromaDB does not like datetime formats
-    # for meta-data so convert them to string.
-    for metadata in metadatas:
-        for key, value in metadata.items():
-            if (
-                isinstance(value, datetime)
-                or isinstance(value, list)
-                or isinstance(value, dict)
-            ):
-                metadata[key] = str(value)
-
     try:
         if VECTOR_DB_CLIENT.has_collection(collection_name=collection_name):
             log.info(f"collection {collection_name} already exists")
@@ -1747,6 +1792,16 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
             )
         else:
             raise Exception("No TAVILY_API_KEY found in environment variables")
+    elif engine == "exa":
+        if request.app.state.config.EXA_API_KEY:
+            return search_exa(
+                request.app.state.config.EXA_API_KEY,
+                query,
+                request.app.state.config.WEB_SEARCH_RESULT_COUNT,
+                request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
+            )
+        else:
+            raise Exception("No EXA_API_KEY found in environment variables")
     elif engine == "searchapi":
         if request.app.state.config.SEARCHAPI_API_KEY:
             return search_searchapi(
@@ -1784,6 +1839,13 @@ def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
             request.app.state.config.WEB_SEARCH_RESULT_COUNT,
             request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
         )
+    elif engine == "exa":
+        return search_exa(
+            request.app.state.config.EXA_API_KEY,
+            query,
+            request.app.state.config.WEB_SEARCH_RESULT_COUNT,
+            request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
+        )
     elif engine == "perplexity":
         return search_perplexity(
             request.app.state.config.PERPLEXITY_API_KEY,
@@ -1978,7 +2040,15 @@ def query_doc_handler(
                     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,
+                reranking_function=(
+                    (
+                        lambda sentences: request.app.state.RERANKING_FUNCTION(
+                            sentences, user=user
+                        )
+                    )
+                    if request.app.state.RERANKING_FUNCTION
+                    else None
+                ),
                 k_reranker=form_data.k_reranker
                 or request.app.state.config.TOP_K_RERANKER,
                 r=(
@@ -2035,7 +2105,15 @@ def query_collection_handler(
                     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,
+                reranking_function=(
+                    (
+                        lambda sentences: request.app.state.RERANKING_FUNCTION(
+                            sentences, user=user
+                        )
+                    )
+                    if request.app.state.RERANKING_FUNCTION
+                    else None
+                ),
                 k_reranker=form_data.k_reranker
                 or request.app.state.config.TOP_K_RERANKER,
                 r=(

backend/open_webui/routers/tasks.py

@@ -695,11 +695,11 @@ async def generate_emoji(
                 "max_completion_tokens": 4,
             }
         ),
-        "chat_id": form_data.get("chat_id", None),
         "metadata": {
             **(request.state.metadata if hasattr(request.state, "metadata") else {}),
             "task": str(TASKS.EMOJI_GENERATION),
             "task_body": form_data,
+            "chat_id": form_data.get("chat_id", None),
         },
     }
 

backend/open_webui/routers/tools.py

@@ -153,7 +153,7 @@ async def load_tool_from_url(
     )
 
     try:
-        async with aiohttp.ClientSession() as session:
+        async with aiohttp.ClientSession(trust_env=True) as session:
             async with session.get(
                 url, headers={"Content-Type": "application/json"}
             ) as resp:

backend/open_webui/routers/users.py

@@ -7,6 +7,7 @@ from open_webui.models.chats import Chats
 from open_webui.models.users import (
     UserModel,
     UserListResponse,
+    UserInfoListResponse,
     UserRoleUpdateForm,
     Users,
     UserSettings,
@@ -83,7 +84,7 @@ async def get_users(
     return Users.get_users(filter=filter, skip=skip, limit=limit)
 
 
-@router.get("/all", response_model=UserListResponse)
+@router.get("/all", response_model=UserInfoListResponse)
 async def get_all_users(
     user=Depends(get_admin_user),
 ):
@@ -133,7 +134,9 @@ class SharingPermissions(BaseModel):
 
 class ChatPermissions(BaseModel):
     controls: bool = True
+    valves: bool = True
     system_prompt: bool = True
+    params: bool = True
     file_upload: bool = True
     delete: bool = True
     edit: bool = True

backend/open_webui/socket/main.py

@@ -1,13 +1,18 @@
 import asyncio
+import random
+
 import socketio
 import logging
 import sys
 import time
+from typing import Dict, Set
 from redis import asyncio as aioredis
+import pycrdt as Y
 
 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.models.notes import Notes, NoteUpdateForm
 from open_webui.utils.redis import (
     get_sentinels_from_env,
     get_sentinel_url_from_env,
@@ -20,9 +25,14 @@ from open_webui.env import (
     WEBSOCKET_REDIS_LOCK_TIMEOUT,
     WEBSOCKET_SENTINEL_PORT,
     WEBSOCKET_SENTINEL_HOSTS,
+    REDIS_KEY_PREFIX,
 )
 from open_webui.utils.auth import decode_token
-from open_webui.socket.utils import RedisDict, RedisLock
+from open_webui.socket.utils import RedisDict, RedisLock, YdocManager
+from open_webui.tasks import create_task, stop_item_tasks
+from open_webui.utils.redis import get_redis_connection
+from open_webui.utils.access_control import has_access, get_users_with_access
+
 
 from open_webui.env import (
     GLOBAL_LOG_LEVEL,
@@ -35,6 +45,8 @@ log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["SOCKET"])
 
 
+REDIS = None
+
 if WEBSOCKET_MANAGER == "redis":
     if WEBSOCKET_SENTINEL_HOSTS:
         mgr = socketio.AsyncRedisManager(
@@ -69,21 +81,29 @@ TIMEOUT_DURATION = 3
 
 if WEBSOCKET_MANAGER == "redis":
     log.debug("Using Redis to manage websockets.")
+    REDIS = get_redis_connection(
+        redis_url=WEBSOCKET_REDIS_URL,
+        redis_sentinels=get_sentinels_from_env(
+            WEBSOCKET_SENTINEL_HOSTS, WEBSOCKET_SENTINEL_PORT
+        ),
+        async_mode=True,
+    )
+
     redis_sentinels = get_sentinels_from_env(
         WEBSOCKET_SENTINEL_HOSTS, WEBSOCKET_SENTINEL_PORT
     )
     SESSION_POOL = RedisDict(
-        "open-webui:session_pool",
+        f"{REDIS_KEY_PREFIX}:session_pool",
         redis_url=WEBSOCKET_REDIS_URL,
         redis_sentinels=redis_sentinels,
     )
     USER_POOL = RedisDict(
-        "open-webui:user_pool",
+        f"{REDIS_KEY_PREFIX}:user_pool",
         redis_url=WEBSOCKET_REDIS_URL,
         redis_sentinels=redis_sentinels,
     )
     USAGE_POOL = RedisDict(
-        "open-webui:usage_pool",
+        f"{REDIS_KEY_PREFIX}:usage_pool",
         redis_url=WEBSOCKET_REDIS_URL,
         redis_sentinels=redis_sentinels,
     )
@@ -101,14 +121,37 @@ else:
     SESSION_POOL = {}
     USER_POOL = {}
     USAGE_POOL = {}
+
     aquire_func = release_func = renew_func = lambda: True
 
 
+YDOC_MANAGER = YdocManager(
+    redis=REDIS,
+    redis_key_prefix=f"{REDIS_KEY_PREFIX}:ydoc:documents",
+)
+
+
 async def periodic_usage_pool_cleanup():
-    if not aquire_func():
+    max_retries = 2
-        log.debug("Usage pool cleanup lock already exists. Not running it.")
+    retry_delay = random.uniform(
+        WEBSOCKET_REDIS_LOCK_TIMEOUT / 2, WEBSOCKET_REDIS_LOCK_TIMEOUT
+    )
+    for attempt in range(max_retries + 1):
+        if aquire_func():
+            break
+        else:
+            if attempt < max_retries:
+                log.debug(
+                    f"Cleanup lock already exists. Retry {attempt + 1} after {retry_delay}s..."
+                )
+                await asyncio.sleep(retry_delay)
+            else:
+                log.warning(
+                    "Failed to acquire cleanup lock after retries. Skipping cleanup."
+                )
                 return
-    log.debug("Running periodic_usage_pool_cleanup")
+
+    log.debug("Running periodic_cleanup")
     try:
         while True:
             if not renew_func():
@@ -169,16 +212,20 @@ def get_user_id_from_session_pool(sid):
     return None
 
 
-def get_user_ids_from_room(room):
+def get_session_ids_from_room(room):
+    """Get all session IDs from a specific room."""
     active_session_ids = sio.manager.get_participants(
         namespace="/",
         room=room,
     )
+    return [session_id[0] for session_id in active_session_ids]
+
+
+def get_user_ids_from_room(room):
+    active_session_ids = get_session_ids_from_room(room)
 
     active_user_ids = list(
-        set(
+        set([SESSION_POOL.get(session_id)["id"] for session_id in active_session_ids])
-            [SESSION_POOL.get(session_id[0])["id"] for session_id in active_session_ids]
-        )
     )
     return active_user_ids
 
@@ -270,6 +317,37 @@ async def join_channel(sid, data):
         await sio.enter_room(sid, f"channel:{channel.id}")
 
 
+@sio.on("join-note")
+async def join_note(sid, data):
+    auth = data["auth"] if "auth" in data else None
+    if not auth or "token" not in auth:
+        return
+
+    token_data = decode_token(auth["token"])
+    if token_data is None or "id" not in token_data:
+        return
+
+    user = Users.get_user_by_id(token_data["id"])
+    if not user:
+        return
+
+    note = Notes.get_note_by_id(data["note_id"])
+    if not note:
+        log.error(f"Note {data['note_id']} not found for user {user.id}")
+        return
+
+    if (
+        user.role != "admin"
+        and user.id != note.user_id
+        and not has_access(user.id, type="read", access_control=note.access_control)
+    ):
+        log.error(f"User {user.id} does not have access to note {data['note_id']}")
+        return
+
+    log.debug(f"Joining note {note.id} for user {user.id}")
+    await sio.enter_room(sid, f"note:{note.id}")
+
+
 @sio.on("channel-events")
 async def channel_events(sid, data):
     room = f"channel:{data['channel_id']}"
@@ -298,6 +376,242 @@ async def channel_events(sid, data):
         )
 
 
+@sio.on("ydoc:document:join")
+async def ydoc_document_join(sid, data):
+    """Handle user joining a document"""
+    user = SESSION_POOL.get(sid)
+
+    try:
+        document_id = data["document_id"]
+
+        if document_id.startswith("note:"):
+            note_id = document_id.split(":")[1]
+            note = Notes.get_note_by_id(note_id)
+            if not note:
+                log.error(f"Note {note_id} not found")
+                return
+
+            if (
+                user.get("role") != "admin"
+                and user.get("id") != note.user_id
+                and not has_access(
+                    user.get("id"), type="read", access_control=note.access_control
+                )
+            ):
+                log.error(
+                    f"User {user.get('id')} does not have access to note {note_id}"
+                )
+                return
+
+        user_id = data.get("user_id", sid)
+        user_name = data.get("user_name", "Anonymous")
+        user_color = data.get("user_color", "#000000")
+
+        log.info(f"User {user_id} joining document {document_id}")
+        await YDOC_MANAGER.add_user(document_id=document_id, user_id=sid)
+
+        # Join Socket.IO room
+        await sio.enter_room(sid, f"doc_{document_id}")
+
+        active_session_ids = get_session_ids_from_room(f"doc_{document_id}")
+
+        # Get the Yjs document state
+        ydoc = Y.Doc()
+        updates = await YDOC_MANAGER.get_updates(document_id)
+        for update in updates:
+            ydoc.apply_update(bytes(update))
+
+        # Encode the entire document state as an update
+        state_update = ydoc.get_update()
+        await sio.emit(
+            "ydoc:document:state",
+            {
+                "document_id": document_id,
+                "state": list(state_update),  # Convert bytes to list for JSON
+                "sessions": active_session_ids,
+            },
+            room=sid,
+        )
+
+        # Notify other users about the new user
+        await sio.emit(
+            "ydoc:user:joined",
+            {
+                "document_id": document_id,
+                "user_id": user_id,
+                "user_name": user_name,
+                "user_color": user_color,
+            },
+            room=f"doc_{document_id}",
+            skip_sid=sid,
+        )
+
+        log.info(f"User {user_id} successfully joined document {document_id}")
+
+    except Exception as e:
+        log.error(f"Error in yjs_document_join: {e}")
+        await sio.emit("error", {"message": "Failed to join document"}, room=sid)
+
+
+async def document_save_handler(document_id, data, user):
+    if document_id.startswith("note:"):
+        note_id = document_id.split(":")[1]
+        note = Notes.get_note_by_id(note_id)
+        if not note:
+            log.error(f"Note {note_id} not found")
+            return
+
+        if (
+            user.get("role") != "admin"
+            and user.get("id") != note.user_id
+            and not has_access(
+                user.get("id"), type="read", access_control=note.access_control
+            )
+        ):
+            log.error(f"User {user.get('id')} does not have access to note {note_id}")
+            return
+
+        Notes.update_note_by_id(note_id, NoteUpdateForm(data=data))
+
+
+@sio.on("ydoc:document:state")
+async def yjs_document_state(sid, data):
+    """Send the current state of the Yjs document to the user"""
+    try:
+        document_id = data["document_id"]
+        room = f"doc_{document_id}"
+
+        active_session_ids = get_session_ids_from_room(room)
+
+        if sid not in active_session_ids:
+            log.warning(f"Session {sid} not in room {room}. Cannot send state.")
+            return
+
+        if not await YDOC_MANAGER.document_exists(document_id):
+            log.warning(f"Document {document_id} not found")
+            return
+
+        # Get the Yjs document state
+        ydoc = Y.Doc()
+        updates = await YDOC_MANAGER.get_updates(document_id)
+        for update in updates:
+            ydoc.apply_update(bytes(update))
+
+        # Encode the entire document state as an update
+        state_update = ydoc.get_update()
+
+        await sio.emit(
+            "ydoc:document:state",
+            {
+                "document_id": document_id,
+                "state": list(state_update),  # Convert bytes to list for JSON
+                "sessions": active_session_ids,
+            },
+            room=sid,
+        )
+    except Exception as e:
+        log.error(f"Error in yjs_document_state: {e}")
+
+
+@sio.on("ydoc:document:update")
+async def yjs_document_update(sid, data):
+    """Handle Yjs document updates"""
+    try:
+        document_id = data["document_id"]
+
+        try:
+            await stop_item_tasks(REDIS, document_id)
+        except:
+            pass
+
+        user_id = data.get("user_id", sid)
+
+        update = data["update"]  # List of bytes from frontend
+
+        await YDOC_MANAGER.append_to_updates(
+            document_id=document_id,
+            update=update,  # Convert list of bytes to bytes
+        )
+
+        # Broadcast update to all other users in the document
+        await sio.emit(
+            "ydoc:document:update",
+            {
+                "document_id": document_id,
+                "user_id": user_id,
+                "update": update,
+                "socket_id": sid,  # Add socket_id to match frontend filtering
+            },
+            room=f"doc_{document_id}",
+            skip_sid=sid,
+        )
+
+        async def debounced_save():
+            await asyncio.sleep(0.5)
+            await document_save_handler(
+                document_id, data.get("data", {}), SESSION_POOL.get(sid)
+            )
+
+        if data.get("data"):
+            await create_task(REDIS, debounced_save(), document_id)
+
+    except Exception as e:
+        log.error(f"Error in yjs_document_update: {e}")
+
+
+@sio.on("ydoc:document:leave")
+async def yjs_document_leave(sid, data):
+    """Handle user leaving a document"""
+    try:
+        document_id = data["document_id"]
+        user_id = data.get("user_id", sid)
+
+        log.info(f"User {user_id} leaving document {document_id}")
+
+        # Remove user from the document
+        await YDOC_MANAGER.remove_user(document_id=document_id, user_id=sid)
+
+        # Leave Socket.IO room
+        await sio.leave_room(sid, f"doc_{document_id}")
+
+        # Notify other users
+        await sio.emit(
+            "ydoc:user:left",
+            {"document_id": document_id, "user_id": user_id},
+            room=f"doc_{document_id}",
+        )
+
+        if (
+            await YDOC_MANAGER.document_exists(document_id)
+            and len(await YDOC_MANAGER.get_users(document_id)) == 0
+        ):
+            log.info(f"Cleaning up document {document_id} as no users are left")
+            await YDOC_MANAGER.clear_document(document_id)
+
+    except Exception as e:
+        log.error(f"Error in yjs_document_leave: {e}")
+
+
+@sio.on("ydoc:awareness:update")
+async def yjs_awareness_update(sid, data):
+    """Handle awareness updates (cursors, selections, etc.)"""
+    try:
+        document_id = data["document_id"]
+        user_id = data.get("user_id", sid)
+        update = data["update"]
+
+        # Broadcast awareness update to all other users in the document
+        await sio.emit(
+            "ydoc:awareness:update",
+            {"document_id": document_id, "user_id": user_id, "update": update},
+            room=f"doc_{document_id}",
+            skip_sid=sid,
+        )
+
+    except Exception as e:
+        log.error(f"Error in yjs_awareness_update: {e}")
+
+
 @sio.event
 async def disconnect(sid):
     if sid in SESSION_POOL:
@@ -309,6 +623,8 @@ async def disconnect(sid):
 
         if len(USER_POOL[user_id]) == 0:
             del USER_POOL[user_id]
+
+        await YDOC_MANAGER.remove_user_from_all_documents(sid)
     else:
         pass
         # print(f"Unknown session ID {sid} disconnected")

backend/open_webui/socket/utils.py

@@ -1,6 +1,9 @@
 import json
 import uuid
 from open_webui.utils.redis import get_redis_connection
+from open_webui.env import REDIS_KEY_PREFIX
+from typing import Optional, List, Tuple
+import pycrdt as Y
 
 
 class RedisLock:
@@ -89,3 +92,109 @@ class RedisDict:
         if key not in self:
             self[key] = default
         return self[key]
+
+
+class YdocManager:
+    def __init__(
+        self,
+        redis=None,
+        redis_key_prefix: str = f"{REDIS_KEY_PREFIX}:ydoc:documents",
+    ):
+        self._updates = {}
+        self._users = {}
+        self._redis = redis
+        self._redis_key_prefix = redis_key_prefix
+
+    async def append_to_updates(self, document_id: str, update: bytes):
+        document_id = document_id.replace(":", "_")
+        if self._redis:
+            redis_key = f"{self._redis_key_prefix}:{document_id}:updates"
+            await self._redis.rpush(redis_key, json.dumps(list(update)))
+        else:
+            if document_id not in self._updates:
+                self._updates[document_id] = []
+            self._updates[document_id].append(update)
+
+    async def get_updates(self, document_id: str) -> List[bytes]:
+        document_id = document_id.replace(":", "_")
+
+        if self._redis:
+            redis_key = f"{self._redis_key_prefix}:{document_id}:updates"
+            updates = await self._redis.lrange(redis_key, 0, -1)
+            return [bytes(json.loads(update)) for update in updates]
+        else:
+            return self._updates.get(document_id, [])
+
+    async def document_exists(self, document_id: str) -> bool:
+        document_id = document_id.replace(":", "_")
+
+        if self._redis:
+            redis_key = f"{self._redis_key_prefix}:{document_id}:updates"
+            return await self._redis.exists(redis_key) > 0
+        else:
+            return document_id in self._updates
+
+    async def get_users(self, document_id: str) -> List[str]:
+        document_id = document_id.replace(":", "_")
+
+        if self._redis:
+            redis_key = f"{self._redis_key_prefix}:{document_id}:users"
+            users = await self._redis.smembers(redis_key)
+            return list(users)
+        else:
+            return self._users.get(document_id, [])
+
+    async def add_user(self, document_id: str, user_id: str):
+        document_id = document_id.replace(":", "_")
+
+        if self._redis:
+            redis_key = f"{self._redis_key_prefix}:{document_id}:users"
+            await self._redis.sadd(redis_key, user_id)
+        else:
+            if document_id not in self._users:
+                self._users[document_id] = set()
+            self._users[document_id].add(user_id)
+
+    async def remove_user(self, document_id: str, user_id: str):
+        document_id = document_id.replace(":", "_")
+
+        if self._redis:
+            redis_key = f"{self._redis_key_prefix}:{document_id}:users"
+            await self._redis.srem(redis_key, user_id)
+        else:
+            if document_id in self._users and user_id in self._users[document_id]:
+                self._users[document_id].remove(user_id)
+
+    async def remove_user_from_all_documents(self, user_id: str):
+        if self._redis:
+            keys = await self._redis.keys(f"{self._redis_key_prefix}:*")
+            for key in keys:
+                if key.endswith(":users"):
+                    await self._redis.srem(key, user_id)
+
+                    document_id = key.split(":")[-2]
+                    if len(await self.get_users(document_id)) == 0:
+                        await self.clear_document(document_id)
+
+        else:
+            for document_id in list(self._users.keys()):
+                if user_id in self._users[document_id]:
+                    self._users[document_id].remove(user_id)
+                    if not self._users[document_id]:
+                        del self._users[document_id]
+
+                        await self.clear_document(document_id)
+
+    async def clear_document(self, document_id: str):
+        document_id = document_id.replace(":", "_")
+
+        if self._redis:
+            redis_key = f"{self._redis_key_prefix}:{document_id}:updates"
+            await self._redis.delete(redis_key)
+            redis_users_key = f"{self._redis_key_prefix}:{document_id}:users"
+            await self._redis.delete(redis_users_key)
+        else:
+            if document_id in self._updates:
+                del self._updates[document_id]
+            if document_id in self._users:
+                del self._users[document_id]

backend/open_webui/tasks.py

@@ -3,23 +3,25 @@ import asyncio
 from typing import Dict
 from uuid import uuid4
 import json
+import logging
 from redis.asyncio import Redis
 from fastapi import Request
 from typing import Dict, List, Optional
 
+from open_webui.env import SRC_LOG_LEVELS, REDIS_KEY_PREFIX
+
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MAIN"])
+
 # A dictionary to keep track of active tasks
 tasks: Dict[str, asyncio.Task] = {}
-chat_tasks = {}
+item_tasks = {}
 
 
-REDIS_TASKS_KEY = "open-webui:tasks"
+REDIS_TASKS_KEY = f"{REDIS_KEY_PREFIX}:tasks"
-REDIS_CHAT_TASKS_KEY = "open-webui:tasks:chat"
+REDIS_ITEM_TASKS_KEY = f"{REDIS_KEY_PREFIX}:tasks:item"
-REDIS_PUBSUB_CHANNEL = "open-webui:tasks:commands"
+REDIS_PUBSUB_CHANNEL = f"{REDIS_KEY_PREFIX}:tasks:commands"
-
-
-def is_redis(request: Request) -> bool:
-    # Called everywhere a request is available to check Redis
-    return hasattr(request.app.state, "redis") and (request.app.state.redis is not None)
 
 
 async def redis_task_command_listener(app):
@@ -38,7 +40,7 @@ async def redis_task_command_listener(app):
                 if local_task:
                     local_task.cancel()
         except Exception as e:
-            print(f"Error handling distributed task command: {e}")
+            log.exception(f"Error handling distributed task command: {e}")
 
 
 ### ------------------------------
@@ -46,21 +48,21 @@ async def redis_task_command_listener(app):
 ### ------------------------------
 
 
-async def redis_save_task(redis: Redis, task_id: str, chat_id: Optional[str]):
+async def redis_save_task(redis: Redis, task_id: str, item_id: Optional[str]):
     pipe = redis.pipeline()
-    pipe.hset(REDIS_TASKS_KEY, task_id, chat_id or "")
+    pipe.hset(REDIS_TASKS_KEY, task_id, item_id or "")
-    if chat_id:
+    if item_id:
-        pipe.sadd(f"{REDIS_CHAT_TASKS_KEY}:{chat_id}", task_id)
+        pipe.sadd(f"{REDIS_ITEM_TASKS_KEY}:{item_id}", task_id)
     await pipe.execute()
 
 
-async def redis_cleanup_task(redis: Redis, task_id: str, chat_id: Optional[str]):
+async def redis_cleanup_task(redis: Redis, task_id: str, item_id: Optional[str]):
     pipe = redis.pipeline()
     pipe.hdel(REDIS_TASKS_KEY, task_id)
-    if chat_id:
+    if item_id:
-        pipe.srem(f"{REDIS_CHAT_TASKS_KEY}:{chat_id}", task_id)
+        pipe.srem(f"{REDIS_ITEM_TASKS_KEY}:{item_id}", task_id)
-        if (await pipe.scard(f"{REDIS_CHAT_TASKS_KEY}:{chat_id}").execute())[-1] == 0:
+        if (await pipe.scard(f"{REDIS_ITEM_TASKS_KEY}:{item_id}").execute())[-1] == 0:
-            pipe.delete(f"{REDIS_CHAT_TASKS_KEY}:{chat_id}")  # Remove if empty set
+            pipe.delete(f"{REDIS_ITEM_TASKS_KEY}:{item_id}")  # Remove if empty set
     await pipe.execute()
 
 
@@ -68,31 +70,31 @@ async def redis_list_tasks(redis: Redis) -> List[str]:
     return list(await redis.hkeys(REDIS_TASKS_KEY))
 
 
-async def redis_list_chat_tasks(redis: Redis, chat_id: str) -> List[str]:
+async def redis_list_item_tasks(redis: Redis, item_id: str) -> List[str]:
-    return list(await redis.smembers(f"{REDIS_CHAT_TASKS_KEY}:{chat_id}"))
+    return list(await redis.smembers(f"{REDIS_ITEM_TASKS_KEY}:{item_id}"))
 
 
 async def redis_send_command(redis: Redis, command: dict):
     await redis.publish(REDIS_PUBSUB_CHANNEL, json.dumps(command))
 
 
-async def cleanup_task(request, task_id: str, id=None):
+async def cleanup_task(redis, task_id: str, id=None):
     """
     Remove a completed or canceled task from the global `tasks` dictionary.
     """
-    if is_redis(request):
+    if redis:
-        await redis_cleanup_task(request.app.state.redis, task_id, id)
+        await redis_cleanup_task(redis, task_id, id)
 
     tasks.pop(task_id, None)  # Remove the task if it exists
 
-    # If an ID is provided, remove the task from the chat_tasks dictionary
+    # If an ID is provided, remove the task from the item_tasks dictionary
-    if id and task_id in chat_tasks.get(id, []):
+    if id and task_id in item_tasks.get(id, []):
-        chat_tasks[id].remove(task_id)
+        item_tasks[id].remove(task_id)
-        if not chat_tasks[id]:  # If no tasks left for this ID, remove the entry
+        if not item_tasks[id]:  # If no tasks left for this ID, remove the entry
-            chat_tasks.pop(id, None)
+            item_tasks.pop(id, None)
 
 
-async def create_task(request, coroutine, id=None):
+async def create_task(redis, coroutine, id=None):
     """
     Create a new asyncio task and add it to the global task dictionary.
     """
@@ -101,48 +103,48 @@ async def create_task(request, coroutine, id=None):
 
     # Add a done callback for cleanup
     task.add_done_callback(
-        lambda t: asyncio.create_task(cleanup_task(request, task_id, id))
+        lambda t: asyncio.create_task(cleanup_task(redis, task_id, id))
     )
     tasks[task_id] = task
 
     # If an ID is provided, associate the task with that ID
-    if chat_tasks.get(id):
+    if item_tasks.get(id):
-        chat_tasks[id].append(task_id)
+        item_tasks[id].append(task_id)
     else:
-        chat_tasks[id] = [task_id]
+        item_tasks[id] = [task_id]
 
-    if is_redis(request):
+    if redis:
-        await redis_save_task(request.app.state.redis, task_id, id)
+        await redis_save_task(redis, task_id, id)
 
     return task_id, task
 
 
-async def list_tasks(request):
+async def list_tasks(redis):
     """
     List all currently active task IDs.
     """
-    if is_redis(request):
+    if redis:
-        return await redis_list_tasks(request.app.state.redis)
+        return await redis_list_tasks(redis)
     return list(tasks.keys())
 
 
-async def list_task_ids_by_chat_id(request, id):
+async def list_task_ids_by_item_id(redis, id):
     """
     List all tasks associated with a specific ID.
     """
-    if is_redis(request):
+    if redis:
-        return await redis_list_chat_tasks(request.app.state.redis, id)
+        return await redis_list_item_tasks(redis, id)
-    return chat_tasks.get(id, [])
+    return item_tasks.get(id, [])
 
 
-async def stop_task(request, task_id: str):
+async def stop_task(redis, task_id: str):
     """
     Cancel a running task and remove it from the global task list.
     """
-    if is_redis(request):
+    if redis:
         # PUBSUB: All instances check if they have this task, and stop if so.
         await redis_send_command(
-            request.app.state.redis,
+            redis,
             {
                 "action": "stop",
                 "task_id": task_id,
@@ -151,7 +153,7 @@ async def stop_task(request, task_id: str):
         # Optionally check if task_id still in Redis a few moments later for feedback?
         return {"status": True, "message": f"Stop signal sent for {task_id}"}
 
-    task = tasks.get(task_id)
+    task = tasks.pop(task_id)
     if not task:
         raise ValueError(f"Task with ID {task_id} not found.")
 
@@ -160,7 +162,22 @@ async def stop_task(request, task_id: str):
         await task  # Wait for the task to handle the cancellation
     except asyncio.CancelledError:
         # Task successfully canceled
-        tasks.pop(task_id, None)  # Remove it from the dictionary
         return {"status": True, "message": f"Task {task_id} successfully stopped."}
 
     return {"status": False, "message": f"Failed to stop task {task_id}."}
+
+
+async def stop_item_tasks(redis: Redis, item_id: str):
+    """
+    Stop all tasks associated with a specific item ID.
+    """
+    task_ids = await list_task_ids_by_item_id(redis, item_id)
+    if not task_ids:
+        return {"status": True, "message": f"No tasks found for item {item_id}."}
+
+    for task_id in task_ids:
+        result = await stop_task(redis, task_id)
+        if not result["status"]:
+            return result  # Return the first failure
+
+    return {"status": True, "message": f"All tasks for item {item_id} stopped."}

backend/open_webui/test/util/test_redis.py

@@ -0,0 +1,793 @@
+import pytest
+from unittest.mock import Mock, patch, AsyncMock
+import redis
+from open_webui.utils.redis import (
+    SentinelRedisProxy,
+    parse_redis_service_url,
+    get_redis_connection,
+    get_sentinels_from_env,
+    MAX_RETRY_COUNT,
+)
+import inspect
+
+
+class TestSentinelRedisProxy:
+    """Test Redis Sentinel failover functionality"""
+
+    def test_parse_redis_service_url_valid(self):
+        """Test parsing valid Redis service URL"""
+        url = "redis://user:pass@mymaster:6379/0"
+        result = parse_redis_service_url(url)
+
+        assert result["username"] == "user"
+        assert result["password"] == "pass"
+        assert result["service"] == "mymaster"
+        assert result["port"] == 6379
+        assert result["db"] == 0
+
+    def test_parse_redis_service_url_defaults(self):
+        """Test parsing Redis service URL with defaults"""
+        url = "redis://mymaster"
+        result = parse_redis_service_url(url)
+
+        assert result["username"] is None
+        assert result["password"] is None
+        assert result["service"] == "mymaster"
+        assert result["port"] == 6379
+        assert result["db"] == 0
+
+    def test_parse_redis_service_url_invalid_scheme(self):
+        """Test parsing invalid URL scheme"""
+        with pytest.raises(ValueError, match="Invalid Redis URL scheme"):
+            parse_redis_service_url("http://invalid")
+
+    def test_get_sentinels_from_env(self):
+        """Test parsing sentinel hosts from environment"""
+        hosts = "sentinel1,sentinel2,sentinel3"
+        port = "26379"
+
+        result = get_sentinels_from_env(hosts, port)
+        expected = [("sentinel1", 26379), ("sentinel2", 26379), ("sentinel3", 26379)]
+
+        assert result == expected
+
+    def test_get_sentinels_from_env_empty(self):
+        """Test empty sentinel hosts"""
+        result = get_sentinels_from_env(None, "26379")
+        assert result == []
+
+    @patch("redis.sentinel.Sentinel")
+    def test_sentinel_redis_proxy_sync_success(self, mock_sentinel_class):
+        """Test successful sync operation with SentinelRedisProxy"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_master.get.return_value = "test_value"
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test attribute access
+        get_method = proxy.__getattr__("get")
+        result = get_method("test_key")
+
+        assert result == "test_value"
+        mock_sentinel.master_for.assert_called_with("mymaster")
+        mock_master.get.assert_called_with("test_key")
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_sentinel_redis_proxy_async_success(self, mock_sentinel_class):
+        """Test successful async operation with SentinelRedisProxy"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_master.get = AsyncMock(return_value="test_value")
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test async attribute access
+        get_method = proxy.__getattr__("get")
+        result = await get_method("test_key")
+
+        assert result == "test_value"
+        mock_sentinel.master_for.assert_called_with("mymaster")
+        mock_master.get.assert_called_with("test_key")
+
+    @patch("redis.sentinel.Sentinel")
+    def test_sentinel_redis_proxy_failover_retry(self, mock_sentinel_class):
+        """Test retry mechanism during failover"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # First call fails, second succeeds
+        mock_master.get.side_effect = [
+            redis.exceptions.ConnectionError("Master down"),
+            "test_value",
+        ]
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        get_method = proxy.__getattr__("get")
+        result = get_method("test_key")
+
+        assert result == "test_value"
+        assert mock_master.get.call_count == 2
+
+    @patch("redis.sentinel.Sentinel")
+    def test_sentinel_redis_proxy_max_retries_exceeded(self, mock_sentinel_class):
+        """Test failure after max retries exceeded"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # All calls fail
+        mock_master.get.side_effect = redis.exceptions.ConnectionError("Master down")
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        get_method = proxy.__getattr__("get")
+
+        with pytest.raises(redis.exceptions.ConnectionError):
+            get_method("test_key")
+
+        assert mock_master.get.call_count == MAX_RETRY_COUNT
+
+    @patch("redis.sentinel.Sentinel")
+    def test_sentinel_redis_proxy_readonly_error_retry(self, mock_sentinel_class):
+        """Test retry on ReadOnlyError"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # First call gets ReadOnlyError (old master), second succeeds (new master)
+        mock_master.get.side_effect = [
+            redis.exceptions.ReadOnlyError("Read only"),
+            "test_value",
+        ]
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        get_method = proxy.__getattr__("get")
+        result = get_method("test_key")
+
+        assert result == "test_value"
+        assert mock_master.get.call_count == 2
+
+    @patch("redis.sentinel.Sentinel")
+    def test_sentinel_redis_proxy_factory_methods(self, mock_sentinel_class):
+        """Test factory methods are passed through directly"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_pipeline = Mock()
+        mock_master.pipeline.return_value = mock_pipeline
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Factory methods should be passed through without wrapping
+        pipeline_method = proxy.__getattr__("pipeline")
+        result = pipeline_method()
+
+        assert result == mock_pipeline
+        mock_master.pipeline.assert_called_once()
+
+    @patch("redis.sentinel.Sentinel")
+    @patch("redis.from_url")
+    def test_get_redis_connection_with_sentinel(
+        self, mock_from_url, mock_sentinel_class
+    ):
+        """Test getting Redis connection with Sentinel"""
+        mock_sentinel = Mock()
+        mock_sentinel_class.return_value = mock_sentinel
+
+        sentinels = [("sentinel1", 26379), ("sentinel2", 26379)]
+        redis_url = "redis://user:pass@mymaster:6379/0"
+
+        result = get_redis_connection(
+            redis_url=redis_url, redis_sentinels=sentinels, async_mode=False
+        )
+
+        assert isinstance(result, SentinelRedisProxy)
+        mock_sentinel_class.assert_called_once()
+        mock_from_url.assert_not_called()
+
+    @patch("redis.Redis.from_url")
+    def test_get_redis_connection_without_sentinel(self, mock_from_url):
+        """Test getting Redis connection without Sentinel"""
+        mock_redis = Mock()
+        mock_from_url.return_value = mock_redis
+
+        redis_url = "redis://localhost:6379/0"
+
+        result = get_redis_connection(
+            redis_url=redis_url, redis_sentinels=None, async_mode=False
+        )
+
+        assert result == mock_redis
+        mock_from_url.assert_called_once_with(redis_url, decode_responses=True)
+
+    @patch("redis.asyncio.from_url")
+    def test_get_redis_connection_without_sentinel_async(self, mock_from_url):
+        """Test getting async Redis connection without Sentinel"""
+        mock_redis = Mock()
+        mock_from_url.return_value = mock_redis
+
+        redis_url = "redis://localhost:6379/0"
+
+        result = get_redis_connection(
+            redis_url=redis_url, redis_sentinels=None, async_mode=True
+        )
+
+        assert result == mock_redis
+        mock_from_url.assert_called_once_with(redis_url, decode_responses=True)
+
+
+class TestSentinelRedisProxyCommands:
+    """Test Redis commands through SentinelRedisProxy"""
+
+    @patch("redis.sentinel.Sentinel")
+    def test_hash_commands_sync(self, mock_sentinel_class):
+        """Test Redis hash commands in sync mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # Mock hash command responses
+        mock_master.hset.return_value = 1
+        mock_master.hget.return_value = "test_value"
+        mock_master.hgetall.return_value = {"key1": "value1", "key2": "value2"}
+        mock_master.hdel.return_value = 1
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test hset
+        hset_method = proxy.__getattr__("hset")
+        result = hset_method("test_hash", "field1", "value1")
+        assert result == 1
+        mock_master.hset.assert_called_with("test_hash", "field1", "value1")
+
+        # Test hget
+        hget_method = proxy.__getattr__("hget")
+        result = hget_method("test_hash", "field1")
+        assert result == "test_value"
+        mock_master.hget.assert_called_with("test_hash", "field1")
+
+        # Test hgetall
+        hgetall_method = proxy.__getattr__("hgetall")
+        result = hgetall_method("test_hash")
+        assert result == {"key1": "value1", "key2": "value2"}
+        mock_master.hgetall.assert_called_with("test_hash")
+
+        # Test hdel
+        hdel_method = proxy.__getattr__("hdel")
+        result = hdel_method("test_hash", "field1")
+        assert result == 1
+        mock_master.hdel.assert_called_with("test_hash", "field1")
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_hash_commands_async(self, mock_sentinel_class):
+        """Test Redis hash commands in async mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # Mock async hash command responses
+        mock_master.hset = AsyncMock(return_value=1)
+        mock_master.hget = AsyncMock(return_value="test_value")
+        mock_master.hgetall = AsyncMock(
+            return_value={"key1": "value1", "key2": "value2"}
+        )
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test hset
+        hset_method = proxy.__getattr__("hset")
+        result = await hset_method("test_hash", "field1", "value1")
+        assert result == 1
+        mock_master.hset.assert_called_with("test_hash", "field1", "value1")
+
+        # Test hget
+        hget_method = proxy.__getattr__("hget")
+        result = await hget_method("test_hash", "field1")
+        assert result == "test_value"
+        mock_master.hget.assert_called_with("test_hash", "field1")
+
+        # Test hgetall
+        hgetall_method = proxy.__getattr__("hgetall")
+        result = await hgetall_method("test_hash")
+        assert result == {"key1": "value1", "key2": "value2"}
+        mock_master.hgetall.assert_called_with("test_hash")
+
+    @patch("redis.sentinel.Sentinel")
+    def test_string_commands_sync(self, mock_sentinel_class):
+        """Test Redis string commands in sync mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # Mock string command responses
+        mock_master.set.return_value = True
+        mock_master.get.return_value = "test_value"
+        mock_master.delete.return_value = 1
+        mock_master.exists.return_value = True
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test set
+        set_method = proxy.__getattr__("set")
+        result = set_method("test_key", "test_value")
+        assert result is True
+        mock_master.set.assert_called_with("test_key", "test_value")
+
+        # Test get
+        get_method = proxy.__getattr__("get")
+        result = get_method("test_key")
+        assert result == "test_value"
+        mock_master.get.assert_called_with("test_key")
+
+        # Test delete
+        delete_method = proxy.__getattr__("delete")
+        result = delete_method("test_key")
+        assert result == 1
+        mock_master.delete.assert_called_with("test_key")
+
+        # Test exists
+        exists_method = proxy.__getattr__("exists")
+        result = exists_method("test_key")
+        assert result is True
+        mock_master.exists.assert_called_with("test_key")
+
+    @patch("redis.sentinel.Sentinel")
+    def test_list_commands_sync(self, mock_sentinel_class):
+        """Test Redis list commands in sync mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # Mock list command responses
+        mock_master.lpush.return_value = 1
+        mock_master.rpop.return_value = "test_value"
+        mock_master.llen.return_value = 5
+        mock_master.lrange.return_value = ["item1", "item2", "item3"]
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test lpush
+        lpush_method = proxy.__getattr__("lpush")
+        result = lpush_method("test_list", "item1")
+        assert result == 1
+        mock_master.lpush.assert_called_with("test_list", "item1")
+
+        # Test rpop
+        rpop_method = proxy.__getattr__("rpop")
+        result = rpop_method("test_list")
+        assert result == "test_value"
+        mock_master.rpop.assert_called_with("test_list")
+
+        # Test llen
+        llen_method = proxy.__getattr__("llen")
+        result = llen_method("test_list")
+        assert result == 5
+        mock_master.llen.assert_called_with("test_list")
+
+        # Test lrange
+        lrange_method = proxy.__getattr__("lrange")
+        result = lrange_method("test_list", 0, -1)
+        assert result == ["item1", "item2", "item3"]
+        mock_master.lrange.assert_called_with("test_list", 0, -1)
+
+    @patch("redis.sentinel.Sentinel")
+    def test_pubsub_commands_sync(self, mock_sentinel_class):
+        """Test Redis pubsub commands in sync mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_pubsub = Mock()
+
+        # Mock pubsub responses
+        mock_master.pubsub.return_value = mock_pubsub
+        mock_master.publish.return_value = 1
+        mock_pubsub.subscribe.return_value = None
+        mock_pubsub.get_message.return_value = {"type": "message", "data": "test_data"}
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test pubsub (factory method - should pass through)
+        pubsub_method = proxy.__getattr__("pubsub")
+        result = pubsub_method()
+        assert result == mock_pubsub
+        mock_master.pubsub.assert_called_once()
+
+        # Test publish
+        publish_method = proxy.__getattr__("publish")
+        result = publish_method("test_channel", "test_message")
+        assert result == 1
+        mock_master.publish.assert_called_with("test_channel", "test_message")
+
+    @patch("redis.sentinel.Sentinel")
+    def test_pipeline_commands_sync(self, mock_sentinel_class):
+        """Test Redis pipeline commands in sync mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_pipeline = Mock()
+
+        # Mock pipeline responses
+        mock_master.pipeline.return_value = mock_pipeline
+        mock_pipeline.set.return_value = mock_pipeline
+        mock_pipeline.get.return_value = mock_pipeline
+        mock_pipeline.execute.return_value = [True, "test_value"]
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test pipeline (factory method - should pass through)
+        pipeline_method = proxy.__getattr__("pipeline")
+        result = pipeline_method()
+        assert result == mock_pipeline
+        mock_master.pipeline.assert_called_once()
+
+    @patch("redis.sentinel.Sentinel")
+    def test_commands_with_failover_retry(self, mock_sentinel_class):
+        """Test Redis commands with failover retry mechanism"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # First call fails with connection error, second succeeds
+        mock_master.hget.side_effect = [
+            redis.exceptions.ConnectionError("Connection failed"),
+            "recovered_value",
+        ]
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test hget with retry
+        hget_method = proxy.__getattr__("hget")
+        result = hget_method("test_hash", "field1")
+
+        assert result == "recovered_value"
+        assert mock_master.hget.call_count == 2
+
+        # Verify both calls were made with same parameters
+        expected_calls = [(("test_hash", "field1"),), (("test_hash", "field1"),)]
+        actual_calls = [call.args for call in mock_master.hget.call_args_list]
+        assert actual_calls == expected_calls
+
+    @patch("redis.sentinel.Sentinel")
+    def test_commands_with_readonly_error_retry(self, mock_sentinel_class):
+        """Test Redis commands with ReadOnlyError retry mechanism"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # First call fails with ReadOnlyError, second succeeds
+        mock_master.hset.side_effect = [
+            redis.exceptions.ReadOnlyError(
+                "READONLY You can't write against a read only replica"
+            ),
+            1,
+        ]
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=False)
+
+        # Test hset with retry
+        hset_method = proxy.__getattr__("hset")
+        result = hset_method("test_hash", "field1", "value1")
+
+        assert result == 1
+        assert mock_master.hset.call_count == 2
+
+        # Verify both calls were made with same parameters
+        expected_calls = [
+            (("test_hash", "field1", "value1"),),
+            (("test_hash", "field1", "value1"),),
+        ]
+        actual_calls = [call.args for call in mock_master.hset.call_args_list]
+        assert actual_calls == expected_calls
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_async_commands_with_failover_retry(self, mock_sentinel_class):
+        """Test async Redis commands with failover retry mechanism"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # First call fails with connection error, second succeeds
+        mock_master.hget = AsyncMock(
+            side_effect=[
+                redis.exceptions.ConnectionError("Connection failed"),
+                "recovered_value",
+            ]
+        )
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test async hget with retry
+        hget_method = proxy.__getattr__("hget")
+        result = await hget_method("test_hash", "field1")
+
+        assert result == "recovered_value"
+        assert mock_master.hget.call_count == 2
+
+        # Verify both calls were made with same parameters
+        expected_calls = [(("test_hash", "field1"),), (("test_hash", "field1"),)]
+        actual_calls = [call.args for call in mock_master.hget.call_args_list]
+        assert actual_calls == expected_calls
+
+
+class TestSentinelRedisProxyFactoryMethods:
+    """Test Redis factory methods in async mode - these are special cases that remain sync"""
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_pubsub_factory_method_async(self, mock_sentinel_class):
+        """Test pubsub factory method in async mode - should pass through without wrapping"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_pubsub = Mock()
+
+        # Mock pubsub factory method
+        mock_master.pubsub.return_value = mock_pubsub
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test pubsub factory method - should NOT be wrapped as async
+        pubsub_method = proxy.__getattr__("pubsub")
+        result = pubsub_method()
+
+        assert result == mock_pubsub
+        mock_master.pubsub.assert_called_once()
+
+        # Verify it's not wrapped as async (no await needed)
+        assert not inspect.iscoroutine(result)
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_pipeline_factory_method_async(self, mock_sentinel_class):
+        """Test pipeline factory method in async mode - should pass through without wrapping"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_pipeline = Mock()
+
+        # Mock pipeline factory method
+        mock_master.pipeline.return_value = mock_pipeline
+        mock_pipeline.set.return_value = mock_pipeline
+        mock_pipeline.get.return_value = mock_pipeline
+        mock_pipeline.execute.return_value = [True, "test_value"]
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test pipeline factory method - should NOT be wrapped as async
+        pipeline_method = proxy.__getattr__("pipeline")
+        result = pipeline_method()
+
+        assert result == mock_pipeline
+        mock_master.pipeline.assert_called_once()
+
+        # Verify it's not wrapped as async (no await needed)
+        assert not inspect.iscoroutine(result)
+
+        # Test pipeline usage (these should also be sync)
+        pipeline_result = result.set("key", "value").get("key").execute()
+        assert pipeline_result == [True, "test_value"]
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_factory_methods_vs_regular_commands_async(self, mock_sentinel_class):
+        """Test that factory methods behave differently from regular commands in async mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # Mock both factory method and regular command
+        mock_pubsub = Mock()
+        mock_master.pubsub.return_value = mock_pubsub
+        mock_master.get = AsyncMock(return_value="test_value")
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test factory method - should NOT be wrapped
+        pubsub_method = proxy.__getattr__("pubsub")
+        pubsub_result = pubsub_method()
+
+        # Test regular command - should be wrapped as async
+        get_method = proxy.__getattr__("get")
+        get_result = get_method("test_key")
+
+        # Factory method returns directly
+        assert pubsub_result == mock_pubsub
+        assert not inspect.iscoroutine(pubsub_result)
+
+        # Regular command returns coroutine
+        assert inspect.iscoroutine(get_result)
+
+        # Regular command needs await
+        actual_value = await get_result
+        assert actual_value == "test_value"
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_factory_methods_with_failover_async(self, mock_sentinel_class):
+        """Test factory methods with failover in async mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # First call fails, second succeeds
+        mock_pubsub = Mock()
+        mock_master.pubsub.side_effect = [
+            redis.exceptions.ConnectionError("Connection failed"),
+            mock_pubsub,
+        ]
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test pubsub factory method with failover
+        pubsub_method = proxy.__getattr__("pubsub")
+        result = pubsub_method()
+
+        assert result == mock_pubsub
+        assert mock_master.pubsub.call_count == 2  # Retry happened
+
+        # Verify it's still not wrapped as async after retry
+        assert not inspect.iscoroutine(result)
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_monitor_factory_method_async(self, mock_sentinel_class):
+        """Test monitor factory method in async mode - should pass through without wrapping"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_monitor = Mock()
+
+        # Mock monitor factory method
+        mock_master.monitor.return_value = mock_monitor
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test monitor factory method - should NOT be wrapped as async
+        monitor_method = proxy.__getattr__("monitor")
+        result = monitor_method()
+
+        assert result == mock_monitor
+        mock_master.monitor.assert_called_once()
+
+        # Verify it's not wrapped as async (no await needed)
+        assert not inspect.iscoroutine(result)
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_client_factory_method_async(self, mock_sentinel_class):
+        """Test client factory method in async mode - should pass through without wrapping"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_client = Mock()
+
+        # Mock client factory method
+        mock_master.client.return_value = mock_client
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test client factory method - should NOT be wrapped as async
+        client_method = proxy.__getattr__("client")
+        result = client_method()
+
+        assert result == mock_client
+        mock_master.client.assert_called_once()
+
+        # Verify it's not wrapped as async (no await needed)
+        assert not inspect.iscoroutine(result)
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_transaction_factory_method_async(self, mock_sentinel_class):
+        """Test transaction factory method in async mode - should pass through without wrapping"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+        mock_transaction = Mock()
+
+        # Mock transaction factory method
+        mock_master.transaction.return_value = mock_transaction
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test transaction factory method - should NOT be wrapped as async
+        transaction_method = proxy.__getattr__("transaction")
+        result = transaction_method()
+
+        assert result == mock_transaction
+        mock_master.transaction.assert_called_once()
+
+        # Verify it's not wrapped as async (no await needed)
+        assert not inspect.iscoroutine(result)
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_all_factory_methods_async(self, mock_sentinel_class):
+        """Test all factory methods in async mode - comprehensive test"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # Mock all factory methods
+        mock_objects = {
+            "pipeline": Mock(),
+            "pubsub": Mock(),
+            "monitor": Mock(),
+            "client": Mock(),
+            "transaction": Mock(),
+        }
+
+        for method_name, mock_obj in mock_objects.items():
+            setattr(mock_master, method_name, Mock(return_value=mock_obj))
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Test all factory methods
+        for method_name, expected_obj in mock_objects.items():
+            method = proxy.__getattr__(method_name)
+            result = method()
+
+            assert result == expected_obj
+            assert not inspect.iscoroutine(result)
+            getattr(mock_master, method_name).assert_called_once()
+
+            # Reset mock for next iteration
+            getattr(mock_master, method_name).reset_mock()
+
+    @patch("redis.sentinel.Sentinel")
+    @pytest.mark.asyncio
+    async def test_mixed_factory_and_regular_commands_async(self, mock_sentinel_class):
+        """Test using both factory methods and regular commands in async mode"""
+        mock_sentinel = Mock()
+        mock_master = Mock()
+
+        # Mock pipeline factory and regular commands
+        mock_pipeline = Mock()
+        mock_master.pipeline.return_value = mock_pipeline
+        mock_pipeline.set.return_value = mock_pipeline
+        mock_pipeline.get.return_value = mock_pipeline
+        mock_pipeline.execute.return_value = [True, "pipeline_value"]
+
+        mock_master.get = AsyncMock(return_value="regular_value")
+
+        mock_sentinel.master_for.return_value = mock_master
+
+        proxy = SentinelRedisProxy(mock_sentinel, "mymaster", async_mode=True)
+
+        # Use factory method (sync)
+        pipeline = proxy.__getattr__("pipeline")()
+        pipeline_result = pipeline.set("key1", "value1").get("key1").execute()
+
+        # Use regular command (async)
+        get_method = proxy.__getattr__("get")
+        regular_result = await get_method("key2")
+
+        # Verify both work correctly
+        assert pipeline_result == [True, "pipeline_value"]
+        assert regular_result == "regular_value"
+
+        # Verify calls
+        mock_master.pipeline.assert_called_once()
+        mock_master.get.assert_called_with("key2")

backend/open_webui/utils/auth.py

@@ -8,6 +8,12 @@ import requests
 import os
 
 
+from cryptography.hazmat.primitives.ciphers.aead import AESGCM
+from cryptography.hazmat.primitives.asymmetric import ed25519
+from cryptography.hazmat.primitives import serialization
+import json
+
+
 from datetime import datetime, timedelta
 import pytz
 from pytz import UTC
@@ -18,7 +24,11 @@ from opentelemetry import trace
 from open_webui.models.users import Users
 
 from open_webui.constants import ERROR_MESSAGES
+
 from open_webui.env import (
+    OFFLINE_MODE,
+    LICENSE_BLOB,
+    pk,
     WEBUI_SECRET_KEY,
     TRUSTED_SIGNATURE_KEY,
     STATIC_DIR,
@@ -74,17 +84,8 @@ def override_static(path: str, content: str):
 
 
 def get_license_data(app, key):
-    if key:
+    def data_handler(data):
-        try:
+        for k, v in data.items():
-            res = requests.post(
-                "https://api.openwebui.com/api/v1/license/",
-                json={"key": key, "version": "1"},
-                timeout=5,
-            )
-
-            if getattr(res, "ok", False):
-                payload = getattr(res, "json", lambda: {})()
-                for k, v in payload.items():
             if k == "resources":
                 for p, c in v.items():
                     globals().get("override_static", lambda a, b: None)(p, c)
@@ -94,13 +95,62 @@ def get_license_data(app, key):
                 setattr(app.state, "WEBUI_NAME", v)
             elif k == "metadata":
                 setattr(app.state, "LICENSE_METADATA", v)
+
+    def handler(u):
+        res = requests.post(
+            f"{u}/api/v1/license/",
+            json={"key": key, "version": "1"},
+            timeout=5,
+        )
+
+        if getattr(res, "ok", False):
+            payload = getattr(res, "json", lambda: {})()
+            data_handler(payload)
             return True
         else:
             log.error(
                 f"License: retrieval issue: {getattr(res, 'text', 'unknown error')}"
             )
+
+    if key:
+        us = [
+            "https://api.openwebui.com",
+            "https://licenses.api.openwebui.com",
+        ]
+        try:
+            for u in us:
+                if handler(u):
+                    return True
         except Exception as ex:
             log.exception(f"License: Uncaught Exception: {ex}")
+
+    try:
+        if LICENSE_BLOB:
+            nl = 12
+            kb = hashlib.sha256((key.replace("-", "").upper()).encode()).digest()
+
+            def nt(b):
+                return b[:nl], b[nl:]
+
+            lb = base64.b64decode(LICENSE_BLOB)
+            ln, lt = nt(lb)
+
+            aesgcm = AESGCM(kb)
+            p = json.loads(aesgcm.decrypt(ln, lt, None))
+            pk.verify(base64.b64decode(p["s"]), p["p"].encode())
+
+            pb = base64.b64decode(p["p"])
+            pn, pt = nt(pb)
+
+            data = json.loads(aesgcm.decrypt(pn, pt, None).decode())
+            if not data.get("exp") and data.get("exp") < datetime.now().date():
+                return False
+
+            data_handler(data)
+            return True
+    except Exception as e:
+        log.error(f"License: {e}")
+
     return False
 
 

backend/open_webui/utils/chat.py

@@ -419,7 +419,7 @@ async def chat_action(request: Request, action_id: str, form_data: dict, user: A
                     params[key] = value
 
             if "__user__" in sig.parameters:
-                __user__ = (user.model_dump() if isinstance(user, UserModel) else {},)
+                __user__ = user.model_dump() if isinstance(user, UserModel) else {}
 
                 try:
                     if hasattr(function_module, "UserValves"):

backend/open_webui/utils/logger.py

@@ -4,12 +4,16 @@ import sys
 from typing import TYPE_CHECKING
 
 from loguru import logger
+from opentelemetry import trace
+
 
 from open_webui.env import (
+    AUDIT_UVICORN_LOGGER_NAMES,
     AUDIT_LOG_FILE_ROTATION_SIZE,
     AUDIT_LOG_LEVEL,
     AUDIT_LOGS_FILE_PATH,
     GLOBAL_LOG_LEVEL,
+    ENABLE_OTEL,
 )
 
 
@@ -58,9 +62,20 @@ class InterceptHandler(logging.Handler):
             frame = frame.f_back
             depth += 1
 
-        logger.opt(depth=depth, exception=record.exc_info).log(
+        logger.opt(depth=depth, exception=record.exc_info).bind(
-            level, record.getMessage()
+            **self._get_extras()
-        )
+        ).log(level, record.getMessage())
+
+    def _get_extras(self):
+        if not ENABLE_OTEL:
+            return {}
+
+        extras = {}
+        context = trace.get_current_span().get_span_context()
+        if context.is_valid:
+            extras["trace_id"] = trace.format_trace_id(context.trace_id)
+            extras["span_id"] = trace.format_span_id(context.span_id)
+        return extras
 
 
 def file_format(record: "Record"):
@@ -128,11 +143,13 @@ def start_logger():
     logging.basicConfig(
         handlers=[InterceptHandler()], level=GLOBAL_LOG_LEVEL, force=True
     )
+
     for uvicorn_logger_name in ["uvicorn", "uvicorn.error"]:
         uvicorn_logger = logging.getLogger(uvicorn_logger_name)
         uvicorn_logger.setLevel(GLOBAL_LOG_LEVEL)
         uvicorn_logger.handlers = []
-    for uvicorn_logger_name in ["uvicorn.access"]:
+
+    for uvicorn_logger_name in AUDIT_UVICORN_LOGGER_NAMES:
         uvicorn_logger = logging.getLogger(uvicorn_logger_name)
         uvicorn_logger.setLevel(GLOBAL_LOG_LEVEL)
         uvicorn_logger.handlers = [InterceptHandler()]

backend/open_webui/utils/middleware.py

@@ -23,6 +23,7 @@ from starlette.responses import Response, StreamingResponse
 
 
 from open_webui.models.chats import Chats
+from open_webui.models.folders import Folders
 from open_webui.models.users import Users
 from open_webui.socket.main import (
     get_event_call,
@@ -56,7 +57,7 @@ from open_webui.models.users import UserModel
 from open_webui.models.functions import Functions
 from open_webui.models.models import Models
 
-from open_webui.retrieval.utils import get_sources_from_files
+from open_webui.retrieval.utils import get_sources_from_items
 
 
 from open_webui.utils.chat import generate_chat_completion
@@ -82,6 +83,7 @@ from open_webui.utils.filter import (
     process_filter_functions,
 )
 from open_webui.utils.code_interpreter import execute_code_jupyter
+from open_webui.utils.payload import apply_model_system_prompt_to_body
 
 from open_webui.tasks import create_task
 
@@ -248,9 +250,7 @@ async def chat_completion_tools_handler(
                         if tool_id
                         else f"{tool_function_name}"
                     )
-                    if tool.get("metadata", {}).get("citation", False) or tool.get(
+
-                        "direct", False
-                    ):
                     # Citation is enabled for this tool
                     sources.append(
                         {
@@ -264,9 +264,9 @@ async def chat_completion_tools_handler(
                                     "parameters": tool_function_params,
                                 }
                             ],
+                            "tool_result": True,
                         }
                     )
-                    else:
                     # Citation is not enabled for this tool
                     body["messages"] = add_or_update_user_message(
                         f"\nTool `{tool_name}` Output: {tool_result}",
@@ -640,25 +640,34 @@ async def chat_completion_files_handler(
             queries = [get_last_user_message(body["messages"])]
 
         try:
-            # Offload get_sources_from_files to a separate thread
+            # Offload get_sources_from_items to a separate thread
             loop = asyncio.get_running_loop()
             with ThreadPoolExecutor() as executor:
                 sources = await loop.run_in_executor(
                     executor,
-                    lambda: get_sources_from_files(
+                    lambda: get_sources_from_items(
                         request=request,
-                        files=files,
+                        items=files,
                         queries=queries,
                         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,
+                        reranking_function=(
+                            (
+                                lambda sentences: request.app.state.RERANKING_FUNCTION(
+                                    sentences, user=user
+                                )
+                            )
+                            if request.app.state.RERANKING_FUNCTION
+                            else None
+                        ),
                         k_reranker=request.app.state.config.TOP_K_RERANKER,
                         r=request.app.state.config.RELEVANCE_THRESHOLD,
                         hybrid_bm25_weight=request.app.state.config.HYBRID_BM25_WEIGHT,
                         hybrid_search=request.app.state.config.ENABLE_RAG_HYBRID_SEARCH,
                         full_context=request.app.state.config.RAG_FULL_CONTEXT,
+                        user=user,
                     ),
                 )
         except Exception as e:
@@ -718,6 +727,10 @@ def apply_params_to_form_data(form_data, model):
 
 
 async def process_chat_payload(request, form_data, user, metadata, model):
+    # Pipeline Inlet -> Filter Inlet -> Chat Memory -> Chat Web Search -> Chat Image Generation
+    # -> Chat Code Interpreter (Form Data Update) -> (Default) Chat Tools Function Calling
+    # -> Chat Files
+
     form_data = apply_params_to_form_data(form_data, model)
     log.debug(f"form_data: {form_data}")
 
@@ -752,6 +765,29 @@ async def process_chat_payload(request, form_data, user, metadata, model):
     events = []
     sources = []
 
+    # Folder "Project" handling
+    # Check if the request has chat_id and is inside of a folder
+    chat_id = metadata.get("chat_id", None)
+    if chat_id and user:
+        chat = Chats.get_chat_by_id_and_user_id(chat_id, user.id)
+        if chat and chat.folder_id:
+            folder = Folders.get_folder_by_id_and_user_id(chat.folder_id, user.id)
+
+            if folder and folder.data:
+                if "system_prompt" in folder.data:
+                    form_data = apply_model_system_prompt_to_body(
+                        folder.data["system_prompt"], 
+                        form_data, 
+                        metadata, 
+                        user
+                    )
+                if "files" in folder.data:
+                    form_data["files"] = [
+                        *folder.data["files"],
+                        *form_data.get("files", []),
+                    ]
+
+    # Model "Knowledge" handling
     user_message = get_last_user_message(form_data["messages"])
     model_knowledge = model.get("info", {}).get("meta", {}).get("knowledge", False)
 
@@ -804,7 +840,6 @@ async def process_chat_payload(request, form_data, user, metadata, model):
         raise e
 
     try:
-
         filter_functions = [
             Functions.get_function_by_id(filter_id)
             for filter_id in get_sorted_filter_ids(
@@ -912,7 +947,6 @@ async def process_chat_payload(request, form_data, user, metadata, model):
                     request, form_data, extra_params, user, models, tools_dict
                 )
                 sources.extend(flags.get("sources", []))
-
             except Exception as e:
                 log.exception(e)
 
@@ -925,39 +959,43 @@ async def process_chat_payload(request, form_data, user, metadata, model):
     # If context is not empty, insert it into the messages
     if len(sources) > 0:
         context_string = ""
-        citation_idx = {}
+        citation_idx_map = {}
+
         for source in sources:
-            if "document" in source:
+            is_tool_result = source.get("tool_result", False)
-                for doc_context, doc_meta in zip(
+
+            if "document" in source and not is_tool_result:
+                for document_text, document_metadata in zip(
                     source["document"], source["metadata"]
                 ):
                     source_name = source.get("source", {}).get("name", None)
-                    citation_id = (
+                    source_id = (
-                        doc_meta.get("source", None)
+                        document_metadata.get("source", None)
                         or source.get("source", {}).get("id", None)
                         or "N/A"
                     )
-                    if citation_id not in citation_idx:
+
-                        citation_idx[citation_id] = len(citation_idx) + 1
+                    if source_id not in citation_idx_map:
+                        citation_idx_map[source_id] = len(citation_idx_map) + 1
+
                     context_string += (
-                        f'<source id="{citation_idx[citation_id]}"'
+                        f'<source id="{citation_idx_map[source_id]}"'
                         + (f' name="{source_name}"' if source_name else "")
-                        + f">{doc_context}</source>\n"
+                        + f">{document_text}</source>\n"
                     )
 
         context_string = context_string.strip()
-        prompt = get_last_user_message(form_data["messages"])
 
+        prompt = get_last_user_message(form_data["messages"])
         if prompt is None:
             raise Exception("No user message found")
-        if (
+
-            request.app.state.config.RELEVANCE_THRESHOLD == 0
+        if context_string == "":
-            and context_string.strip() == ""
+            if request.app.state.config.RELEVANCE_THRESHOLD == 0:
-        ):
                 log.debug(
                     f"With a 0 relevancy threshold for RAG, the context cannot be empty"
                 )
-
+        else:
             # Workaround for Ollama 2.0+ system prompt issue
             # TODO: replace with add_or_update_system_message
             if model.get("owned_by") == "ollama":
@@ -1347,14 +1385,6 @@ async def process_chat_response(
         task_id = str(uuid4())  # Create a unique task ID.
         model_id = form_data.get("model", "")
 
-        Chats.upsert_message_to_chat_by_id_and_message_id(
-            metadata["chat_id"],
-            metadata["message_id"],
-            {
-                "model": model_id,
-            },
-        )
-
         def split_content_and_whitespace(content):
             content_stripped = content.rstrip()
             original_whitespace = (
@@ -1370,7 +1400,7 @@ async def process_chat_response(
             return len(backtick_segments) > 1 and len(backtick_segments) % 2 == 0
 
         # Handle as a background task
-        async def post_response_handler(response, events):
+        async def response_handler(response, events):
             def serialize_content_blocks(content_blocks, raw=False):
                 content = ""
 
@@ -1405,7 +1435,7 @@ async def process_chat_response(
                                         break
 
                                 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'
+                                    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, ensure_ascii=False))}" 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>'
 
@@ -1438,12 +1468,12 @@ async def process_chat_response(
 
                         if reasoning_duration is not None:
                             if raw:
-                                content = f'{content}\n<{block["start_tag"]}>{block["content"]}<{block["end_tag"]}>\n'
+                                content = f'{content}\n{block["start_tag"]}{block["content"]}{block["end_tag"]}\n'
                             else:
                                 content = f'{content}\n<details type="reasoning" done="true" duration="{reasoning_duration}">\n<summary>Thought for {reasoning_duration} seconds</summary>\n{reasoning_display_content}\n</details>\n'
                         else:
                             if raw:
-                                content = f'{content}\n<{block["start_tag"]}>{block["content"]}<{block["end_tag"]}>\n'
+                                content = f'{content}\n{block["start_tag"]}{block["content"]}{block["end_tag"]}\n'
                             else:
                                 content = f'{content}\n<details type="reasoning" done="false">\n<summary>Thinking…</summary>\n{reasoning_display_content}\n</details>\n'
 
@@ -1540,8 +1570,16 @@ async def process_chat_response(
 
                 if content_blocks[-1]["type"] == "text":
                     for start_tag, end_tag in tags:
+
+                        start_tag_pattern = rf"{re.escape(start_tag)}"
+                        if start_tag.startswith("<") and start_tag.endswith(">"):
                             # Match start tag e.g., <tag> or <tag attr="value">
-                        start_tag_pattern = rf"<{re.escape(start_tag)}(\s.*?)?>"
+                            # remove both '<' and '>' from start_tag
+                            # Match start tag with attributes
+                            start_tag_pattern = (
+                                rf"<{re.escape(start_tag[1:-1])}(\s.*?)?>"
+                            )
+
                         match = re.search(start_tag_pattern, content)
                         if match:
                             attr_content = (
@@ -1592,8 +1630,13 @@ async def process_chat_response(
                 elif content_blocks[-1]["type"] == content_type:
                     start_tag = content_blocks[-1]["start_tag"]
                     end_tag = content_blocks[-1]["end_tag"]
+
+                    if end_tag.startswith("<") and end_tag.endswith(">"):
                         # Match end tag e.g., </tag>
-                    end_tag_pattern = rf"<{re.escape(end_tag)}>"
+                        end_tag_pattern = rf"{re.escape(end_tag)}"
+                    else:
+                        # Handle cases where end_tag is just a tag name
+                        end_tag_pattern = rf"{re.escape(end_tag)}"
 
                     # Check if the content has the end tag
                     if re.search(end_tag_pattern, content):
@@ -1665,8 +1708,17 @@ async def process_chat_response(
                                 )
 
                         # Clean processed content
+                        start_tag_pattern = rf"{re.escape(start_tag)}"
+                        if start_tag.startswith("<") and start_tag.endswith(">"):
+                            # Match start tag e.g., <tag> or <tag attr="value">
+                            # remove both '<' and '>' from start_tag
+                            # Match start tag with attributes
+                            start_tag_pattern = (
+                                rf"<{re.escape(start_tag[1:-1])}(\s.*?)?>"
+                            )
+
                         content = re.sub(
-                            rf"<{re.escape(start_tag)}(.*?)>(.|\n)*?<{re.escape(end_tag)}>",
+                            rf"{start_tag_pattern}(.|\n)*?{re.escape(end_tag)}",
                             "",
                             content,
                             flags=re.DOTALL,
@@ -1710,18 +1762,19 @@ async def process_chat_response(
             )
 
             reasoning_tags = [
-                ("think", "/think"),
+                ("<think>", "</think>"),
-                ("thinking", "/thinking"),
+                ("<thinking>", "</thinking>"),
-                ("reason", "/reason"),
+                ("<reason>", "</reason>"),
-                ("reasoning", "/reasoning"),
+                ("<reasoning>", "</reasoning>"),
-                ("thought", "/thought"),
+                ("<thought>", "</thought>"),
-                ("Thought", "/Thought"),
+                ("<Thought>", "</Thought>"),
-                ("|begin_of_thought|", "|end_of_thought|"),
+                ("<|begin_of_thought|>", "<|end_of_thought|>"),
+                ("◁think▷", "◁/think▷"),
             ]
 
-            code_interpreter_tags = [("code_interpreter", "/code_interpreter")]
+            code_interpreter_tags = [("<code_interpreter>", "</code_interpreter>")]
 
-            solution_tags = [("|begin_of_solution|", "|end_of_solution|")]
+            solution_tags = [("<|begin_of_solution|>", "<|end_of_solution|>")]
 
             try:
                 for event in events:
@@ -1741,7 +1794,7 @@ async def process_chat_response(
                         },
                     )
 
-                async def stream_body_handler(response):
+                async def stream_body_handler(response, form_data):
                     nonlocal content
                     nonlocal content_blocks
 
@@ -1770,7 +1823,7 @@ async def process_chat_response(
                                 filter_functions=filter_functions,
                                 filter_type="stream",
                                 form_data=data,
-                                extra_params=extra_params,
+                                extra_params={"__body__": form_data, **extra_params},
                             )
 
                             if data:
@@ -2005,7 +2058,7 @@ async def process_chat_response(
                             if done:
                                 pass
                             else:
-                                log.debug("Error: ", e)
+                                log.debug(f"Error: {e}")
                                 continue
 
                     if content_blocks:
@@ -2032,7 +2085,7 @@ async def process_chat_response(
                     if response.background:
                         await response.background()
 
-                await stream_body_handler(response)
+                await stream_body_handler(response, form_data)
 
                 MAX_TOOL_CALL_RETRIES = 10
                 tool_call_retries = 0
@@ -2148,7 +2201,9 @@ async def process_chat_response(
                         if isinstance(tool_result, dict) or isinstance(
                             tool_result, list
                         ):
-                            tool_result = json.dumps(tool_result, indent=2)
+                            tool_result = json.dumps(
+                                tool_result, indent=2, ensure_ascii=False
+                            )
 
                         results.append(
                             {
@@ -2181,9 +2236,7 @@ async def process_chat_response(
                     )
 
                     try:
-                        res = await generate_chat_completion(
+                        new_form_data = {
-                            request,
-                            {
                             "model": model_id,
                             "stream": True,
                             "tools": form_data["tools"],
@@ -2191,12 +2244,16 @@ async def process_chat_response(
                                 *form_data["messages"],
                                 *convert_content_blocks_to_messages(content_blocks),
                             ],
-                            },
+                        }
+
+                        res = await generate_chat_completion(
+                            request,
+                            new_form_data,
                             user,
                         )
 
                         if isinstance(res, StreamingResponse):
-                            await stream_body_handler(res)
+                            await stream_body_handler(res, new_form_data)
                         else:
                             break
                     except Exception as e:
@@ -2211,6 +2268,7 @@ async def process_chat_response(
                         content_blocks[-1]["type"] == "code_interpreter"
                         and retries < MAX_RETRIES
                     ):
+
                         await event_emitter(
                             {
                                 "type": "chat:completion",
@@ -2343,9 +2401,7 @@ async def process_chat_response(
                         )
 
                         try:
-                            res = await generate_chat_completion(
+                            new_form_data = {
-                                request,
-                                {
                                 "model": model_id,
                                 "stream": True,
                                 "messages": [
@@ -2357,12 +2413,16 @@ async def process_chat_response(
                                         ),
                                     },
                                 ],
-                                },
+                            }
+
+                            res = await generate_chat_completion(
+                                request,
+                                new_form_data,
                                 user,
                             )
 
                             if isinstance(res, StreamingResponse):
-                                await stream_body_handler(res)
+                                await stream_body_handler(res, new_form_data)
                             else:
                                 break
                         except Exception as e:
@@ -2427,9 +2487,11 @@ async def process_chat_response(
             if response.background is not None:
                 await response.background()
 
-        # background_tasks.add_task(post_response_handler, response, events)
+        # background_tasks.add_task(response_handler, response, events)
         task_id, _ = await create_task(
-            request, post_response_handler(response, events), id=metadata["chat_id"]
+            request.app.state.redis,
+            response_handler(response, events),
+            id=metadata["chat_id"],
         )
         return {"status": True, "task_id": task_id}
 

backend/open_webui/utils/models.py

@@ -76,8 +76,19 @@ async def get_all_base_models(request: Request, user: UserModel = None):
     return function_models + openai_models + ollama_models
 
 
-async def get_all_models(request, user: UserModel = None):
+async def get_all_models(request, refresh: bool = False, user: UserModel = None):
-    models = await get_all_base_models(request, user=user)
+    if (
+        request.app.state.MODELS
+        and request.app.state.BASE_MODELS
+        and (request.app.state.config.ENABLE_BASE_MODELS_CACHE and not refresh)
+    ):
+        base_models = request.app.state.BASE_MODELS
+    else:
+        base_models = await get_all_base_models(request, user=user)
+        request.app.state.BASE_MODELS = base_models
+
+    # deep copy the base models to avoid modifying the original list
+    models = [model.copy() for model in base_models]
 
     # If there are no models, return an empty list
     if len(models) == 0:
@@ -137,6 +148,7 @@ async def get_all_models(request, user: UserModel = None):
     custom_models = Models.get_all_models()
     for custom_model in custom_models:
         if custom_model.base_model_id is None:
+            # Applied directly to a base model
             for model in models:
                 if custom_model.id == model["id"] or (
                     model.get("owned_by") == "ollama"

backend/open_webui/utils/redis.py

@@ -1,6 +1,97 @@
-import socketio
+import inspect
 from urllib.parse import urlparse
-from typing import Optional
+
+import logging
+
+import redis
+
+from open_webui.env import REDIS_SENTINEL_MAX_RETRY_COUNT
+
+log = logging.getLogger(__name__)
+
+
+_CONNECTION_CACHE = {}
+
+
+class SentinelRedisProxy:
+    def __init__(self, sentinel, service, *, async_mode: bool = True, **kw):
+        self._sentinel = sentinel
+        self._service = service
+        self._kw = kw
+        self._async_mode = async_mode
+
+    def _master(self):
+        return self._sentinel.master_for(self._service, **self._kw)
+
+    def __getattr__(self, item):
+        master = self._master()
+        orig_attr = getattr(master, item)
+
+        if not callable(orig_attr):
+            return orig_attr
+
+        FACTORY_METHODS = {"pipeline", "pubsub", "monitor", "client", "transaction"}
+        if item in FACTORY_METHODS:
+            return orig_attr
+
+        if self._async_mode:
+
+            async def _wrapped(*args, **kwargs):
+                for i in range(REDIS_SENTINEL_MAX_RETRY_COUNT):
+                    try:
+                        method = getattr(self._master(), item)
+                        result = method(*args, **kwargs)
+                        if inspect.iscoroutine(result):
+                            return await result
+                        return result
+                    except (
+                        redis.exceptions.ConnectionError,
+                        redis.exceptions.ReadOnlyError,
+                    ) as e:
+                        if i < REDIS_SENTINEL_MAX_RETRY_COUNT - 1:
+                            log.debug(
+                                "Redis sentinel fail-over (%s). Retry %s/%s",
+                                type(e).__name__,
+                                i + 1,
+                                REDIS_SENTINEL_MAX_RETRY_COUNT,
+                            )
+                            continue
+                        log.error(
+                            "Redis operation failed after %s retries: %s",
+                            REDIS_SENTINEL_MAX_RETRY_COUNT,
+                            e,
+                        )
+                        raise e from e
+
+            return _wrapped
+
+        else:
+
+            def _wrapped(*args, **kwargs):
+                for i in range(REDIS_SENTINEL_MAX_RETRY_COUNT):
+                    try:
+                        method = getattr(self._master(), item)
+                        return method(*args, **kwargs)
+                    except (
+                        redis.exceptions.ConnectionError,
+                        redis.exceptions.ReadOnlyError,
+                    ) as e:
+                        if i < REDIS_SENTINEL_MAX_RETRY_COUNT - 1:
+                            log.debug(
+                                "Redis sentinel fail-over (%s). Retry %s/%s",
+                                type(e).__name__,
+                                i + 1,
+                                REDIS_SENTINEL_MAX_RETRY_COUNT,
+                            )
+                            continue
+                        log.error(
+                            "Redis operation failed after %s retries: %s",
+                            REDIS_SENTINEL_MAX_RETRY_COUNT,
+                            e,
+                        )
+                        raise e from e
+
+            return _wrapped
 
 
 def parse_redis_service_url(redis_url):
@@ -20,6 +111,14 @@ def parse_redis_service_url(redis_url):
 def get_redis_connection(
     redis_url, redis_sentinels, async_mode=False, decode_responses=True
 ):
+
+    cache_key = (redis_url, tuple(redis_sentinels) if redis_sentinels else (), async_mode, decode_responses)
+
+    if cache_key in _CONNECTION_CACHE:
+        return _CONNECTION_CACHE[cache_key]
+
+    connection = None
+
     if async_mode:
         import redis.asyncio as redis
 
@@ -34,11 +133,13 @@ def get_redis_connection(
                 password=redis_config["password"],
                 decode_responses=decode_responses,
             )
-            return sentinel.master_for(redis_config["service"])
+            connection = SentinelRedisProxy(
+                sentinel,
+                redis_config["service"],
+                async_mode=async_mode,
+            )
         elif redis_url:
-            return redis.from_url(redis_url, decode_responses=decode_responses)
+            connection = redis.from_url(redis_url, decode_responses=decode_responses)
-        else:
-            return None
     else:
         import redis
 
@@ -52,11 +153,16 @@ def get_redis_connection(
                 password=redis_config["password"],
                 decode_responses=decode_responses,
             )
-            return sentinel.master_for(redis_config["service"])
+            connection = SentinelRedisProxy(
+                sentinel,
+                redis_config["service"],
+                async_mode=async_mode,
+            )
         elif redis_url:
-            return redis.Redis.from_url(redis_url, decode_responses=decode_responses)
+            connection = redis.Redis.from_url(redis_url, decode_responses=decode_responses)
-        else:
+
-            return None
+    _CONNECTION_CACHE[cache_key] = connection
+    return connection
 
 
 def get_sentinels_from_env(sentinel_hosts_env, sentinel_port_env):

backend/open_webui/utils/response.py

@@ -6,18 +6,17 @@ from open_webui.utils.misc import (
 )
 
 
-def convert_ollama_tool_call_to_openai(tool_calls: dict) -> dict:
+def convert_ollama_tool_call_to_openai(tool_calls: list) -> list:
     openai_tool_calls = []
     for tool_call in tool_calls:
+        function = tool_call.get("function", {})
         openai_tool_call = {
-            "index": tool_call.get("index", 0),
+            "index": tool_call.get("index", function.get("index", 0)),
             "id": tool_call.get("id", f"call_{str(uuid4())}"),
             "type": "function",
             "function": {
-                "name": tool_call.get("function", {}).get("name", ""),
+                "name": function.get("name", ""),
-                "arguments": json.dumps(
+                "arguments": json.dumps(function.get("arguments", {})),
-                    tool_call.get("function", {}).get("arguments", {})
-                ),
             },
         }
         openai_tool_calls.append(openai_tool_call)

backend/open_webui/utils/telemetry/exporters.py

@@ -1,31 +0,0 @@
-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/metrics.py

@@ -34,6 +34,8 @@ from opentelemetry.sdk.resources import SERVICE_NAME, Resource
 
 from open_webui.env import OTEL_SERVICE_NAME, OTEL_EXPORTER_OTLP_ENDPOINT
 
+from open_webui.socket.main import get_active_user_ids
+from open_webui.models.users import Users
 
 _EXPORT_INTERVAL_MILLIS = 10_000  # 10 seconds
 
@@ -59,6 +61,12 @@ def _build_meter_provider() -> MeterProvider:
             instrument_name="http.server.requests",
             attribute_keys=["http.method", "http.route", "http.status_code"],
         ),
+        View(
+            instrument_name="webui.users.total",
+        ),
+        View(
+            instrument_name="webui.users.active",
+        ),
     ]
 
     provider = MeterProvider(
@@ -87,6 +95,38 @@ def setup_metrics(app: FastAPI) -> None:
         unit="ms",
     )
 
+    def observe_active_users(
+        options: metrics.CallbackOptions,
+    ) -> Sequence[metrics.Observation]:
+        return [
+            metrics.Observation(
+                value=len(get_active_user_ids()),
+            )
+        ]
+
+    def observe_total_registered_users(
+        options: metrics.CallbackOptions,
+    ) -> Sequence[metrics.Observation]:
+        return [
+            metrics.Observation(
+                value=len(Users.get_users()["users"]),
+            )
+        ]
+
+    meter.create_observable_gauge(
+        name="webui.users.total",
+        description="Total number of registered users",
+        unit="users",
+        callbacks=[observe_total_registered_users],
+    )
+
+    meter.create_observable_gauge(
+        name="webui.users.active",
+        description="Number of currently active users",
+        unit="users",
+        callbacks=[observe_active_users],
+    )
+
     # FastAPI middleware
     @app.middleware("http")
     async def _metrics_middleware(request: Request, call_next):

backend/open_webui/utils/telemetry/setup.py

@@ -1,17 +1,26 @@
 from fastapi import FastAPI
 from opentelemetry import trace
+
 from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
+    OTLPSpanExporter as HttpOTLPSpanExporter,
+)
 from opentelemetry.sdk.resources import SERVICE_NAME, Resource
 from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
 from sqlalchemy import Engine
+from base64 import b64encode
 
-from open_webui.utils.telemetry.exporters import LazyBatchSpanProcessor
 from open_webui.utils.telemetry.instrumentors import Instrumentor
 from open_webui.utils.telemetry.metrics import setup_metrics
 from open_webui.env import (
     OTEL_SERVICE_NAME,
     OTEL_EXPORTER_OTLP_ENDPOINT,
+    OTEL_EXPORTER_OTLP_INSECURE,
     ENABLE_OTEL_METRICS,
+    OTEL_BASIC_AUTH_USERNAME,
+    OTEL_BASIC_AUTH_PASSWORD,
+    OTEL_OTLP_SPAN_EXPORTER,
 )
 
 
@@ -22,9 +31,27 @@ def setup(app: FastAPI, db_engine: Engine):
             resource=Resource.create(attributes={SERVICE_NAME: OTEL_SERVICE_NAME})
         )
     )
+
+    # Add basic auth header only if both username and password are not empty
+    headers = []
+    if OTEL_BASIC_AUTH_USERNAME and OTEL_BASIC_AUTH_PASSWORD:
+        auth_string = f"{OTEL_BASIC_AUTH_USERNAME}:{OTEL_BASIC_AUTH_PASSWORD}"
+        auth_header = b64encode(auth_string.encode()).decode()
+        headers = [("authorization", f"Basic {auth_header}")]
+
     # otlp export
-    exporter = OTLPSpanExporter(endpoint=OTEL_EXPORTER_OTLP_ENDPOINT)
+    if OTEL_OTLP_SPAN_EXPORTER == "http":
-    trace.get_tracer_provider().add_span_processor(LazyBatchSpanProcessor(exporter))
+        exporter = HttpOTLPSpanExporter(
+            endpoint=OTEL_EXPORTER_OTLP_ENDPOINT,
+            headers=headers,
+        )
+    else:
+        exporter = OTLPSpanExporter(
+            endpoint=OTEL_EXPORTER_OTLP_ENDPOINT,
+            insecure=OTEL_EXPORTER_OTLP_INSECURE,
+            headers=headers,
+        )
+    trace.get_tracer_provider().add_span_processor(BatchSpanProcessor(exporter))
     Instrumentor(app=app, db_engine=db_engine).instrument()
 
     # set up metrics only if enabled

backend/open_webui/utils/tools.py

@@ -101,9 +101,6 @@ def get_tools(
 
                     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"],
@@ -492,15 +489,7 @@ async def get_tool_servers_data(
         if server.get("config", {}).get("enable"):
             # Path (to OpenAPI spec URL) can be either a full URL or a path to append to the base URL
             openapi_path = server.get("path", "openapi.json")
-            if "://" in openapi_path:
+            full_url = get_tool_server_url(server.get("url"), openapi_path)
-                # If it contains "://", it's a full URL
-                full_url = openapi_path
-            else:
-                if not openapi_path.startswith("/"):
-                    # Ensure the path starts with a slash
-                    openapi_path = f"/{openapi_path}"
-
-                full_url = f"{server.get('url')}{openapi_path}"
 
             info = server.get("info", {})
 
@@ -646,3 +635,16 @@ async def execute_tool_server(
         error = str(err)
         log.exception(f"API Request Error: {error}")
         return {"error": error}
+
+
+def get_tool_server_url(url: Optional[str], path: str) -> str:
+    """
+    Build the full URL for a tool server, given a base url and a path.
+    """
+    if "://" in path:
+        # If it contains "://", it's a full URL
+        return path
+    if not path.startswith("/"):
+        # Ensure the path starts with a slash
+        path = f"/{path}"
+    return f"{url}{path}"

backend/requirements.txt

@@ -1,11 +1,12 @@
 fastapi==0.115.7
-uvicorn[standard]==0.34.2
+uvicorn[standard]==0.35.0
-pydantic==2.10.6
+pydantic==2.11.7
 python-multipart==0.0.20
 
 python-socketio==5.13.0
 python-jose==3.4.0
 passlib[bcrypt]==1.7.4
+cryptography
 
 requests==2.32.4
 aiohttp==3.11.11
@@ -13,6 +14,7 @@ async-timeout
 aiocache
 aiofiles
 starlette-compress==1.6.0
+httpx[socks,http2,zstd,cli,brotli]==0.28.1
 
 sqlalchemy==2.0.38
 alembic==1.14.0
@@ -30,6 +32,8 @@ boto3==1.35.53
 argon2-cffi==23.1.0
 APScheduler==3.10.4
 
+pycrdt==0.12.25
+
 RestrictedPython==8.0
 
 loguru==0.7.3
@@ -42,13 +46,14 @@ google-genai==1.15.0
 google-generativeai==0.8.5
 tiktoken
 
-langchain==0.3.24
+langchain==0.3.26
-langchain-community==0.3.23
+langchain-community==0.3.26
 
 fake-useragent==2.1.0
 chromadb==0.6.3
+posthog==5.4.0
 pymilvus==2.5.0
-qdrant-client~=1.12.0
+qdrant-client==1.14.3
 opensearch-py==2.8.0
 playwright==1.49.1 # Caution: version must match docker-compose.playwright.yaml
 elasticsearch==9.0.1
@@ -59,6 +64,7 @@ transformers
 sentence-transformers==4.1.0
 accelerate
 colbert-ai==0.2.21
+pyarrow==20.0.0
 einops==0.8.1
 
 
@@ -100,7 +106,7 @@ youtube-transcript-api==1.1.0
 pytube==15.0.0
 
 pydub
-duckduckgo-search==8.0.2
+ddgs==9.0.0
 
 ## Google Drive
 google-api-python-client
@@ -115,7 +121,7 @@ pytest-docker~=3.1.1
 googleapis-common-protos==1.63.2
 google-cloud-storage==2.19.0
 
-azure-identity==1.21.0
+azure-identity==1.23.0
 azure-storage-blob==12.24.1
 
 
@@ -129,14 +135,14 @@ firecrawl-py==1.12.0
 tencentcloud-sdk-python==3.0.1336
 
 ## Trace
-opentelemetry-api==1.32.1
+opentelemetry-api==1.36.0
-opentelemetry-sdk==1.32.1
+opentelemetry-sdk==1.36.0
-opentelemetry-exporter-otlp==1.32.1
+opentelemetry-exporter-otlp==1.36.0
-opentelemetry-instrumentation==0.53b1
+opentelemetry-instrumentation==0.57b0
-opentelemetry-instrumentation-fastapi==0.53b1
+opentelemetry-instrumentation-fastapi==0.57b0
-opentelemetry-instrumentation-sqlalchemy==0.53b1
+opentelemetry-instrumentation-sqlalchemy==0.57b0
-opentelemetry-instrumentation-redis==0.53b1
+opentelemetry-instrumentation-redis==0.57b0
-opentelemetry-instrumentation-requests==0.53b1
+opentelemetry-instrumentation-requests==0.57b0
-opentelemetry-instrumentation-logging==0.53b1
+opentelemetry-instrumentation-logging==0.57b0
-opentelemetry-instrumentation-httpx==0.53b1
+opentelemetry-instrumentation-httpx==0.57b0
-opentelemetry-instrumentation-aiohttp-client==0.53b1
+opentelemetry-instrumentation-aiohttp-client==0.57b0

cypress/e2e/chat.cy.ts

@@ -21,14 +21,14 @@ describe('Settings', () => {
 			// Click on the model selector
 			cy.get('button[aria-label="Select a model"]').click();
 			// Select the first model
-			cy.get('button[aria-label="model-item"]').first().click();
+			cy.get('button[aria-roledescription="model-item"]').first().click();
 		});
 
 		it('user can perform text chat', () => {
 			// Click on the model selector
 			cy.get('button[aria-label="Select a model"]').click();
 			// Select the first model
-			cy.get('button[aria-label="model-item"]').first().click();
+			cy.get('button[aria-roledescription="model-item"]').first().click();
 			// Type a message
 			cy.get('#chat-input').type('Hi, what can you do? A single sentence only please.', {
 				force: true
@@ -48,7 +48,7 @@ describe('Settings', () => {
 			// Click on the model selector
 			cy.get('button[aria-label="Select a model"]').click();
 			// Select the first model
-			cy.get('button[aria-label="model-item"]').first().click();
+			cy.get('button[aria-roledescription="model-item"]').first().click();
 			// Type a message
 			cy.get('#chat-input').type('Hi, what can you do? A single sentence only please.', {
 				force: true
@@ -83,7 +83,7 @@ describe('Settings', () => {
 			// Click on the model selector
 			cy.get('button[aria-label="Select a model"]').click();
 			// Select the first model
-			cy.get('button[aria-label="model-item"]').first().click();
+			cy.get('button[aria-roledescription="model-item"]').first().click();
 			// Type a message
 			cy.get('#chat-input').type('Hi, what can you do? A single sentence only please.', {
 				force: true

docker-compose.otel.yaml

@@ -0,0 +1,35 @@
+services:
+  grafana:
+    image: grafana/otel-lgtm:latest
+    container_name: lgtm
+    ports:
+      - "3000:3000"   # Grafana UI
+      - "4317:4317"   # OTLP/gRPC
+      - "4318:4318"   # OTLP/HTTP
+    restart: unless-stopped
+
+
+  open-webui:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    image: ghcr.io/open-webui/open-webui:${WEBUI_DOCKER_TAG-main}
+    container_name: open-webui
+    volumes:
+      - open-webui:/app/backend/data
+    depends_on:
+      - grafana
+    ports:
+      - ${OPEN_WEBUI_PORT-8088}:8080
+    environment:
+      - ENABLE_OTEL=true
+      - ENABLE_OTEL_METRICS=true
+      - OTEL_EXPORTER_OTLP_INSECURE=true # Use insecure connection for OTLP, remove in production
+      - OTEL_EXPORTER_OTLP_ENDPOINT=http://grafana:4317
+      - OTEL_SERVICE_NAME=open-webui
+    extra_hosts:
+      - host.docker.internal:host-gateway
+    restart: unless-stopped
+
+volumes:
+  open-webui: {}

hatch_build.py

@@ -17,7 +17,7 @@ class CustomBuildHook(BuildHookInterface):
                 "NodeJS `npm` is required for building Open Webui but it was not found"
             )
         stderr.write("### npm install\n")
-        subprocess.run([npm, "install"], check=True)  # noqa: S603
+        subprocess.run([npm, "install", "--force"], check=True)  # noqa: S603
         stderr.write("\n### npm run build\n")
         os.environ["APP_BUILD_HASH"] = version
         subprocess.run([npm, "run", "build"], check=True)  # noqa: S603

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "open-webui",
-	"version": "0.6.15",
+	"version": "0.6.18",
 	"private": true,
 	"scripts": {
 		"dev": "npm run pyodide:fetch && vite dev --host",
@@ -57,25 +57,32 @@
 		"@codemirror/lang-python": "^6.1.6",
 		"@codemirror/language-data": "^6.5.1",
 		"@codemirror/theme-one-dark": "^6.1.2",
+		"@floating-ui/dom": "^1.7.2",
 		"@huggingface/transformers": "^3.0.0",
 		"@mediapipe/tasks-vision": "^0.10.17",
 		"@pyscript/core": "^0.4.32",
 		"@sveltejs/adapter-node": "^2.0.0",
 		"@sveltejs/svelte-virtual-list": "^3.0.1",
-		"@tiptap/core": "^2.11.9",
+		"@tiptap/core": "^3.0.7",
-		"@tiptap/extension-code-block-lowlight": "^2.11.9",
+		"@tiptap/extension-bubble-menu": "^2.26.1",
-		"@tiptap/extension-highlight": "^2.10.0",
+		"@tiptap/extension-code-block-lowlight": "^3.0.7",
-		"@tiptap/extension-placeholder": "^2.10.0",
+		"@tiptap/extension-drag-handle": "^3.0.7",
-		"@tiptap/extension-table": "^2.12.0",
+		"@tiptap/extension-file-handler": "^3.0.7",
-		"@tiptap/extension-table-cell": "^2.12.0",
+		"@tiptap/extension-floating-menu": "^2.26.1",
-		"@tiptap/extension-table-header": "^2.12.0",
+		"@tiptap/extension-highlight": "^3.0.7",
-		"@tiptap/extension-table-row": "^2.12.0",
+		"@tiptap/extension-image": "^3.0.7",
-		"@tiptap/extension-typography": "^2.10.0",
+		"@tiptap/extension-link": "^3.0.7",
-		"@tiptap/pm": "^2.11.7",
+		"@tiptap/extension-list": "^3.0.7",
-		"@tiptap/starter-kit": "^2.10.0",
+		"@tiptap/extension-table": "^3.0.7",
+		"@tiptap/extension-typography": "^3.0.7",
+		"@tiptap/extension-youtube": "^3.0.7",
+		"@tiptap/extensions": "^3.0.7",
+		"@tiptap/pm": "^3.0.7",
+		"@tiptap/starter-kit": "^3.0.7",
 		"@xyflow/svelte": "^0.1.19",
 		"async": "^3.2.5",
 		"bits-ui": "^0.21.15",
+		"chart.js": "^4.5.0",
 		"codemirror": "^6.0.1",
 		"codemirror-lang-elixir": "^4.0.0",
 		"codemirror-lang-hcl": "^0.1.0",
@@ -86,9 +93,10 @@
 		"file-saver": "^2.0.5",
 		"focus-trap": "^7.6.4",
 		"fuse.js": "^7.0.0",
+		"heic2any": "^0.0.4",
 		"highlight.js": "^11.9.0",
 		"html-entities": "^2.5.3",
-		"html2canvas-pro": "^1.5.8",
+		"html2canvas-pro": "^1.5.11",
 		"i18next": "^23.10.0",
 		"i18next-browser-languagedetector": "^7.2.0",
 		"i18next-resources-to-backend": "^1.2.0",
@@ -103,6 +111,8 @@
 		"mermaid": "^11.6.0",
 		"paneforge": "^0.0.6",
 		"panzoom": "^9.4.3",
+		"pdfjs-dist": "^5.3.93",
+		"prosemirror-collab": "^1.3.1",
 		"prosemirror-commands": "^1.6.0",
 		"prosemirror-example-setup": "^1.2.3",
 		"prosemirror-history": "^1.4.1",
@@ -116,7 +126,7 @@
 		"prosemirror-view": "^1.34.3",
 		"pyodide": "^0.27.3",
 		"socket.io-client": "^4.2.0",
-		"sortablejs": "^1.15.2",
+		"sortablejs": "^1.15.6",
 		"svelte-sonner": "^0.3.19",
 		"tippy.js": "^6.3.7",
 		"turndown": "^7.2.0",
@@ -124,7 +134,9 @@
 		"undici": "^7.3.0",
 		"uuid": "^9.0.1",
 		"vite-plugin-static-copy": "^2.2.0",
-		"yaml": "^2.7.1"
+		"y-prosemirror": "^1.3.7",
+		"yaml": "^2.7.1",
+		"yjs": "^13.6.27"
 	},
 	"engines": {
 		"node": ">=18.13.0 <=22.x.x",

pyproject.toml

@@ -8,7 +8,7 @@ license = { file = "LICENSE" }
 dependencies = [
     "fastapi==0.115.7",
     "uvicorn[standard]==0.34.2",
-    "pydantic==2.10.6",
+    "pydantic==2.11.7",
     "python-multipart==0.0.20",
     "python-socketio==5.13.0",
     "python-jose==3.4.0",
@@ -48,7 +48,7 @@ dependencies = [
     "fake-useragent==2.1.0",
     "chromadb==0.6.3",
     "pymilvus==2.5.0",
-    "qdrant-client~=1.12.0",
+    "qdrant-client==1.14.3",
     "opensearch-py==2.8.0",
     "playwright==1.49.1",
     "elasticsearch==9.0.1",
@@ -90,7 +90,6 @@ dependencies = [
     "youtube-transcript-api==1.1.0",
     "pytube==15.0.0",
     "pydub",
-    "duckduckgo-search==8.0.2",
     "ddgs==9.0.0",
     "google-api-python-client",
     "google-auth-httplib2",
@@ -115,7 +114,7 @@ requires-python = ">= 3.11, < 3.13.0a1"
 dynamic = ["version"]
 classifiers = [
     "Development Status :: 4 - Beta",
-    "License :: OSI Approved :: MIT License",
+    "License :: Other/Proprietary License",
     "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
@@ -164,3 +163,8 @@ skip = '.git*,*.svg,package-lock.json,i18n,*.lock,*.css,*-bundle.js,locales,exam
 check-hidden = true
 # ignore-regex = ''
 ignore-words-list = 'ans'
+
+[dependency-groups]
+dev = [
+    "pytest-asyncio>=1.0.0",
+]

scripts/prepare-pyodide.js

@@ -13,7 +13,8 @@ const packages = [
 	'tiktoken',
 	'seaborn',
 	'pytz',
-	'black'
+	'black',
+	'openai'
 ];
 
 import { loadPyodide } from 'pyodide';
@@ -74,8 +75,8 @@ async function downloadPackages() {
 			console.log('Pyodide version mismatch, removing static/pyodide directory');
 			await rmdir('static/pyodide', { recursive: true });
 		}
-	} catch (e) {
+	} catch (err) {
-		console.log('Pyodide package not found, proceeding with download.');
+		console.log('Pyodide package not found, proceeding with download.', err);
 	}
 
 	try {

src/app.css

@@ -40,6 +40,11 @@ code {
 	width: auto;
 }
 
+.editor-selection {
+	background: rgba(180, 213, 255, 0.5);
+	border-radius: 2px;
+}
+
 .font-secondary {
 	font-family: 'InstrumentSerif', sans-serif;
 }
@@ -65,19 +70,23 @@ textarea::placeholder {
 }
 
 .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;
+	@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-1 prose-img:my-1 prose-headings:my-2 prose-pre:my-0 prose-table:my-1 prose-blockquote:my-0 prose-ul:my-1 prose-ol:my-1 prose-li:my-0.5 whitespace-pre-line;
 }
 
 .input-prose-sm {
-	@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 text-sm;
+	@apply prose dark:prose-invert prose-headings:font-medium prose-h1:text-2xl prose-h2:text-xl prose-h3:text-lg prose-hr:my-4 prose-hr:border-gray-100 prose-hr:dark:border-gray-800 prose-p:my-1 prose-img:my-1 prose-headings:my-2 prose-pre:my-0 prose-table:my-1 prose-blockquote:my-0 prose-ul:my-1 prose-ol:my-1 prose-li:my-1 whitespace-pre-line text-sm;
 }
 
 .markdown-prose {
 	@apply prose dark:prose-invert prose-blockquote:border-s-gray-100 prose-blockquote:dark:border-gray-800 prose-blockquote:border-s-2 prose-blockquote:not-italic prose-blockquote:font-normal  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;
 }
 
+.markdown-prose-sm {
+	@apply text-sm prose dark:prose-invert prose-blockquote:border-s-gray-100 prose-blockquote:dark:border-gray-800 prose-blockquote:border-s-2 prose-blockquote:not-italic prose-blockquote:font-normal  prose-headings:font-semibold prose-hr:my-2  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;
+}
+
 .markdown-prose-xs {
-	@apply text-xs prose dark:prose-invert prose-blockquote:border-s-gray-100 prose-blockquote:dark:border-gray-800 prose-blockquote:border-s-2 prose-blockquote:not-italic prose-blockquote:font-normal  prose-headings:font-semibold prose-hr:my-0  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;
+	@apply text-xs prose dark:prose-invert prose-blockquote:border-s-gray-100 prose-blockquote:dark:border-gray-800 prose-blockquote:border-s-2 prose-blockquote:not-italic prose-blockquote:font-normal  prose-headings:font-semibold prose-hr:my-0.5  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;
 }
 
 .markdown a {
@@ -326,6 +335,138 @@ input[type='number'] {
 	@apply line-clamp-1 absolute;
 }
 
+.tiptap ul[data-type='taskList'] {
+	list-style: none;
+	margin-left: 0;
+	padding: 0;
+
+	li {
+		align-items: start;
+		display: flex;
+
+		> label {
+			flex: 0 0 auto;
+			margin-right: 0.5rem;
+			margin-top: 0.2rem;
+			user-select: none;
+			display: flex;
+		}
+
+		> div {
+			flex: 1 1 auto;
+
+			align-items: center;
+		}
+	}
+
+	/* checked data-checked="true" */
+
+	li[data-checked='true'] {
+		> div {
+			opacity: 0.5;
+			text-decoration: line-through;
+		}
+	}
+
+	input[type='checkbox'] {
+		cursor: pointer;
+	}
+
+	ul[data-type='taskList'] {
+		margin: 0;
+	}
+
+	/* Reset nested regular ul elements to default styling */
+	ul:not([data-type='taskList']) {
+		list-style: disc;
+		padding-left: 1rem;
+
+		li {
+			align-items: initial;
+			display: list-item;
+
+			label {
+				flex: initial;
+				margin-right: initial;
+				margin-top: initial;
+				user-select: initial;
+				display: initial;
+			}
+
+			div {
+				flex: initial;
+				align-items: initial;
+			}
+		}
+	}
+}
+
+.input-prose .tiptap ul[data-type='taskList'] {
+	list-style: none;
+	margin-left: 0;
+	padding: 0;
+
+	li {
+		align-items: start;
+		display: flex;
+
+		> label {
+			flex: 0 0 auto;
+			margin-right: 0.5rem;
+			margin-top: 0.4rem;
+			user-select: none;
+			display: flex;
+		}
+
+		> div {
+			flex: 1 1 auto;
+
+			align-items: center;
+		}
+	}
+
+	/* checked data-checked="true" */
+
+	li[data-checked='true'] {
+		> div {
+			opacity: 0.5;
+			text-decoration: line-through;
+		}
+	}
+
+	input[type='checkbox'] {
+		cursor: pointer;
+	}
+
+	ul[data-type='taskList'] {
+		margin: 0;
+	}
+
+	/* Reset nested regular ul elements to default styling */
+	ul:not([data-type='taskList']) {
+		list-style: disc;
+		padding-left: 1rem;
+
+		li {
+			align-items: initial;
+			display: list-item;
+
+			label {
+				flex: initial;
+				margin-right: initial;
+				margin-top: initial;
+				user-select: initial;
+				display: initial;
+			}
+
+			div {
+				flex: initial;
+				align-items: initial;
+			}
+		}
+	}
+}
+
 @media (prefers-color-scheme: dark) {
 	.ProseMirror p.is-editor-empty:first-child::before {
 		color: #757575;
@@ -339,21 +480,21 @@ input[type='number'] {
 	pointer-events: none;
 }
 
-.tiptap > pre > code {
+.tiptap pre > code {
 	border-radius: 0.4rem;
 	font-size: 0.85rem;
 	padding: 0.25em 0.3em;
 
-	@apply dark:bg-gray-800 bg-gray-100;
+	@apply dark:bg-gray-800 bg-gray-50;
 }
 
-.tiptap > pre {
+.tiptap pre {
 	border-radius: 0.5rem;
 	font-family: 'JetBrainsMono', monospace;
 	margin: 1.5rem 0;
 	padding: 0.75rem 1rem;
 
-	@apply dark:bg-gray-800 bg-gray-100;
+	@apply dark:bg-gray-800 bg-gray-50;
 }
 
 .tiptap p code {
@@ -362,7 +503,7 @@ input[type='number'] {
 	padding: 3px 8px;
 	font-size: 0.8em;
 	font-weight: 600;
-	@apply rounded-md dark:bg-gray-800 bg-gray-100 mx-0.5;
+	@apply rounded-md dark:bg-gray-800 bg-gray-50 mx-0.5;
 }
 
 /* Code styling */
@@ -442,3 +583,36 @@ input[type='number'] {
 .tiptap tr {
 	@apply bg-white dark:bg-gray-900 dark:border-gray-850 text-xs;
 }
+
+.tippy-box[data-theme~='transparent'] {
+	@apply bg-transparent p-0 m-0;
+}
+
+/* this is a rough fix for the first cursor position when the first paragraph is empty */
+.ProseMirror > .ProseMirror-yjs-cursor:first-child {
+	margin-top: 16px;
+}
+/* This gives the remote user caret. The colors are automatically overwritten*/
+.ProseMirror-yjs-cursor {
+	position: relative;
+	margin-left: -1px;
+	margin-right: -1px;
+	border-left: 1px solid black;
+	border-right: 1px solid black;
+	border-color: orange;
+	word-break: normal;
+	pointer-events: none;
+}
+/* This renders the username above the caret */
+.ProseMirror-yjs-cursor > div {
+	position: absolute;
+	top: -1.05em;
+	left: -1px;
+	font-size: 13px;
+	background-color: rgb(250, 129, 0);
+	user-select: none;
+	color: white;
+	padding-left: 2px;
+	padding-right: 2px;
+	white-space: nowrap;
+}

src/app.html

@@ -56,7 +56,6 @@
 					document.documentElement.classList.add('light');
 					metaThemeColorTag.setAttribute('content', '#ffffff');
 				} else if (localStorage.theme === 'her') {
-					document.documentElement.classList.add('dark');
 					document.documentElement.classList.add('her');
 					metaThemeColorTag.setAttribute('content', '#983724');
 				} else {
@@ -77,28 +76,18 @@
 						}
 					}
 				});
-
-				function setSplashImage() {
-					const logo = document.getElementById('logo');
 				const isDarkMode = document.documentElement.classList.contains('dark');
 
-					if (isDarkMode) {
+				const logo = document.createElement('img');
-						const darkImage = new Image();
+				logo.id = 'logo';
-						darkImage.src = '/static/splash-dark.png';
+				logo.style =
+					'position: absolute; width: auto; height: 6rem; top: 44%; left: 50%; transform: translateX(-50%); display:block;';
+				logo.src = isDarkMode ? '/static/splash-dark.png' : '/static/splash.png';
 
-						darkImage.onload = () => {
+				document.addEventListener('DOMContentLoaded', function () {
-							logo.src = '/static/splash-dark.png';
+					const splash = document.getElementById('splash-screen');
-							logo.style.filter = ''; // Ensure no inversion is applied if splash-dark.png exists
+					if (splash) splash.prepend(logo);
-						};
+				});
-
-						darkImage.onerror = () => {
-							logo.style.filter = 'invert(1)'; // Invert image if splash-dark.png is missing
-						};
-					}
-				}
-
-				// Runs after classes are assigned
-				window.onload = setSplashImage;
 			})();
 		</script>
 
@@ -120,19 +109,6 @@
 				}
 			</style>
 
-			<img
-				id="logo"
-				style="
-					position: absolute;
-					width: auto;
-					height: 6rem;
-					top: 44%;
-					left: 50%;
-					transform: translateX(-50%);
-				"
-				src="/static/splash.png"
-			/>
-
 			<div
 				style="
 					position: absolute;

src/lib/apis/auths/index.ts

@@ -347,6 +347,8 @@ export const userSignOut = async () => {
 	if (error) {
 		throw error;
 	}
+
+	sessionStorage.clear();
 	return res;
 };
 

src/lib/apis/chats/index.ts

@@ -1,7 +1,7 @@
 import { WEBUI_API_BASE_URL } from '$lib/constants';
 import { getTimeRange } from '$lib/utils';
 
-export const createNewChat = async (token: string, chat: object) => {
+export const createNewChat = async (token: string, chat: object, folderId: string | null) => {
 	let error = null;
 
 	const res = await fetch(`${WEBUI_API_BASE_URL}/chats/new`, {
@@ -12,7 +12,8 @@ export const createNewChat = async (token: string, chat: object) => {
 			authorization: `Bearer ${token}`
 		},
 		body: JSON.stringify({
-			chat: chat
+			chat: chat,
+			folder_id: folderId ?? null
 		})
 	})
 		.then(async (res) => {
@@ -37,7 +38,9 @@ export const importChat = async (
 	chat: object,
 	meta: object | null,
 	pinned?: boolean,
-	folderId?: string | null
+	folderId?: string | null,
+	createdAt: number | null = null,
+	updatedAt: number | null = null
 ) => {
 	let error = null;
 
@@ -52,7 +55,9 @@ export const importChat = async (
 			chat: chat,
 			meta: meta ?? {},
 			pinned: pinned,
-			folder_id: folderId
+			folder_id: folderId,
+			created_at: createdAt ?? null,
+			updated_at: updatedAt ?? null
 		})
 	})
 		.then(async (res) => {

src/lib/apis/configs/index.ts

@@ -58,10 +58,10 @@ export const exportConfig = async (token: string) => {
 	return res;
 };
 
-export const getDirectConnectionsConfig = async (token: string) => {
+export const getConnectionsConfig = async (token: string) => {
 	let error = null;
 
-	const res = await fetch(`${WEBUI_API_BASE_URL}/configs/direct_connections`, {
+	const res = await fetch(`${WEBUI_API_BASE_URL}/configs/connections`, {
 		method: 'GET',
 		headers: {
 			'Content-Type': 'application/json',
@@ -85,10 +85,10 @@ export const getDirectConnectionsConfig = async (token: string) => {
 	return res;
 };
 
-export const setDirectConnectionsConfig = async (token: string, config: object) => {
+export const setConnectionsConfig = async (token: string, config: object) => {
 	let error = null;
 
-	const res = await fetch(`${WEBUI_API_BASE_URL}/configs/direct_connections`, {
+	const res = await fetch(`${WEBUI_API_BASE_URL}/configs/connections`, {
 		method: 'POST',
 		headers: {
 			'Content-Type': 'application/json',

src/lib/apis/folders/index.ts

@@ -1,6 +1,11 @@
 import { WEBUI_API_BASE_URL } from '$lib/constants';
 
-export const createNewFolder = async (token: string, name: string) => {
+type FolderForm = {
+	name: string;
+	data?: Record<string, any>;
+};
+
+export const createNewFolder = async (token: string, folderForm: FolderForm) => {
 	let error = null;
 
 	const res = await fetch(`${WEBUI_API_BASE_URL}/folders/`, {
@@ -10,9 +15,7 @@ export const createNewFolder = async (token: string, name: string) => {
 			'Content-Type': 'application/json',
 			authorization: `Bearer ${token}`
 		},
-		body: JSON.stringify({
+		body: JSON.stringify(folderForm)
-			name: name
-		})
 	})
 		.then(async (res) => {
 			if (!res.ok) throw await res.json();
@@ -92,7 +95,7 @@ export const getFolderById = async (token: string, id: string) => {
 	return res;
 };
 
-export const updateFolderNameById = async (token: string, id: string, name: string) => {
+export const updateFolderById = async (token: string, id: string, folderForm: FolderForm) => {
 	let error = null;
 
 	const res = await fetch(`${WEBUI_API_BASE_URL}/folders/${id}/update`, {
@@ -102,9 +105,7 @@ export const updateFolderNameById = async (token: string, id: string, name: stri
 			'Content-Type': 'application/json',
 			authorization: `Bearer ${token}`
 		},
-		body: JSON.stringify({
+		body: JSON.stringify(folderForm)
-			name: name
-		})
 	})
 		.then(async (res) => {
 			if (!res.ok) throw await res.json();

src/lib/apis/index.ts

@@ -8,17 +8,26 @@ import { toast } from 'svelte-sonner';
 export const getModels = async (
 	token: string = '',
 	connections: object | null = null,
-	base: boolean = false
+	base: boolean = false,
+	refresh: boolean = false
 ) => {
+	const searchParams = new URLSearchParams();
+	if (refresh) {
+		searchParams.append('refresh', 'true');
+	}
+
 	let error = null;
-	const res = await fetch(`${WEBUI_BASE_URL}/api/models${base ? '/base' : ''}`, {
+	const res = await fetch(
+		`${WEBUI_BASE_URL}/api/models${base ? '/base' : ''}?${searchParams.toString()}`,
+		{
 			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();
@@ -1587,6 +1596,7 @@ export interface ModelConfig {
 }
 
 export interface ModelMeta {
+	toolIds: never[];
 	description?: string;
 	capabilities?: object;
 	profile_image_url?: string;

src/lib/apis/notes/index.ts

@@ -39,7 +39,7 @@ export const createNewNote = async (token: string, note: NoteItem) => {
 	return res;
 };
 
-export const getNotes = async (token: string = '') => {
+export const getNotes = async (token: string = '', raw: boolean = false) => {
 	let error = null;
 
 	const res = await fetch(`${WEBUI_API_BASE_URL}/notes/`, {
@@ -67,6 +67,10 @@ export const getNotes = async (token: string = '') => {
 		throw error;
 	}
 
+	if (raw) {
+		return res; // Return raw response if requested
+	}
+
 	if (!Array.isArray(res)) {
 		return {}; // or throw new Error("Notes response is not an array")
 	}
@@ -87,6 +91,37 @@ export const getNotes = async (token: string = '') => {
 	return grouped;
 };
 
+export const getNoteList = async (token: string = '') => {
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/notes/list`, {
+		method: 'GET',
+		headers: {
+			Accept: 'application/json',
+			'Content-Type': 'application/json',
+			authorization: `Bearer ${token}`
+		}
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.then((json) => {
+			return json;
+		})
+		.catch((err) => {
+			error = err.detail;
+			console.error(err);
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
 export const getNoteById = async (token: string, id: string) => {
 	let error = null;
 

src/lib/apis/ollama/index.ts

@@ -366,7 +366,7 @@ export const unloadModel = async (token: string, tagName: string) => {
 			Authorization: `Bearer ${token}`
 		},
 		body: JSON.stringify({
-			name: tagName
+			model: tagName
 		})
 	}).catch((err) => {
 		error = err;
@@ -419,7 +419,7 @@ export const deleteModel = async (token: string, tagName: string, urlIdx: string
 				Authorization: `Bearer ${token}`
 			},
 			body: JSON.stringify({
-				name: tagName
+				model: tagName
 			})
 		}
 	)

src/lib/apis/users/index.ts

@@ -403,6 +403,7 @@ export const deleteUserById = async (token: string, userId: string) => {
 };
 
 type UserUpdateForm = {
+	role: string;
 	profile_image_url: string;
 	email: string;
 	name: string;

src/lib/components/AddConnectionModal.svelte

@@ -15,6 +15,8 @@
 	import Tooltip from '$lib/components/common/Tooltip.svelte';
 	import Switch from '$lib/components/common/Switch.svelte';
 	import Tags from './common/Tags.svelte';
+	import Spinner from '$lib/components/common/Spinner.svelte';
+	import XMark from '$lib/components/icons/XMark.svelte';
 
 	export let onSubmit: Function = () => {};
 	export let onDelete: Function = () => {};
@@ -33,9 +35,7 @@
 	let connectionType = 'external';
 	let azure = false;
 	$: azure =
-		(url.includes('azure.com') || url.includes('cognitive.microsoft.com')) && !direct
+		(url.includes('azure.') || url.includes('cognitive.microsoft.com')) && !direct ? true : false;
-			? true
-			: false;
 
 	let prefixId = '';
 	let enable = true;
@@ -208,17 +208,7 @@
 					show = false;
 				}}
 			>
-				<svg
+				<XMark className={'size-5'} />
-					xmlns="http://www.w3.org/2000/svg"
-					viewBox="0 0 20 20"
-					fill="currentColor"
-					aria-hidden="true"
-					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>
 
@@ -524,29 +514,7 @@
 
 							{#if loading}
 								<div class="ml-2 self-center">
-									<svg
+									<Spinner />
-										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>

src/lib/components/AddServerModal.svelte

@@ -3,6 +3,7 @@
 	import { getContext, onMount } from 'svelte';
 	const i18n = getContext('i18n');
 
+	import { settings } from '$lib/stores';
 	import Modal from '$lib/components/common/Modal.svelte';
 	import Plus from '$lib/components/icons/Plus.svelte';
 	import Minus from '$lib/components/icons/Minus.svelte';
@@ -14,6 +15,8 @@
 	import { getToolServerData } from '$lib/apis';
 	import { verifyToolServerConnection } from '$lib/apis/configs';
 	import AccessControl from './workspace/common/AccessControl.svelte';
+	import Spinner from '$lib/components/common/Spinner.svelte';
+	import XMark from '$lib/components/icons/XMark.svelte';
 
 	export let onSubmit: Function = () => {};
 	export let onDelete: Function = () => {};
@@ -153,29 +156,21 @@
 <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">
+			<h1 class=" text-lg font-medium self-center font-primary">
 				{#if edit}
 					{$i18n.t('Edit Connection')}
 				{:else}
 					{$i18n.t('Add Connection')}
 				{/if}
-			</div>
+			</h1>
 			<button
 				class="self-center"
+				aria-label={$i18n.t('Close Configure Connection Modal')}
 				on:click={() => {
 					show = false;
 				}}
 			>
-				<svg
+				<XMark className={'size-5'} />
-					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>
 
@@ -192,12 +187,17 @@
 						<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>
+									<label
+										for="api-base-url"
+										class={`text-xs ${($settings?.highContrastMode ?? false) ? 'text-gray-800 dark:text-gray-100' : 'text-gray-500'}`}
+										>{$i18n.t('URL')}</label
+									>
 								</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"
+										id="api-base-url"
+										class={`w-full flex-1 text-sm bg-transparent ${($settings?.highContrastMode ?? false) ? 'placeholder:text-gray-700 dark:placeholder:text-gray-100' : 'outline-hidden placeholder:text-gray-300 dark:placeholder:text-gray-700'}`}
 										type="text"
 										bind:value={url}
 										placeholder={$i18n.t('API Base URL')}
@@ -214,6 +214,7 @@
 											on:click={() => {
 												verifyHandler();
 											}}
+											aria-label={$i18n.t('Verify Connection')}
 											type="button"
 										>
 											<svg
@@ -221,6 +222,7 @@
 												viewBox="0 0 20 20"
 												fill="currentColor"
 												class="w-4 h-4"
+												aria-hidden="true"
 											>
 												<path
 													fill-rule="evenodd"
@@ -237,9 +239,13 @@
 								</div>
 
 								<div class="flex-1 flex items-center">
+									<label for="url-or-path" class="sr-only"
+										>{$i18n.t('openapi.json URL or Path')}</label
+									>
 									<input
-										class="w-full text-sm bg-transparent placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden"
+										class={`w-full text-sm bg-transparent ${($settings?.highContrastMode ?? false) ? 'placeholder:text-gray-700 dark:placeholder:text-gray-100' : 'outline-hidden placeholder:text-gray-300 dark:placeholder:text-gray-700'}`}
 										type="text"
+										id="url-or-path"
 										bind:value={path}
 										placeholder={$i18n.t('openapi.json URL or Path')}
 										autocomplete="off"
@@ -249,7 +255,9 @@
 							</div>
 						</div>
 
-						<div class="text-xs text-gray-500 mt-1">
+						<div
+							class={`text-xs mt-1 ${($settings?.highContrastMode ?? false) ? 'text-gray-800 dark:text-gray-100' : 'text-gray-500'}`}
+						>
 							{$i18n.t(`WebUI will make requests to "{{url}}"`, {
 								url: path.includes('://') ? path : `${url}${path.startsWith('/') ? '' : '/'}${path}`
 							})}
@@ -257,12 +265,17 @@
 
 						<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>
+								<label
+									for="select-bearer-or-session"
+									class={`text-xs ${($settings?.highContrastMode ?? false) ? 'text-gray-800 dark:text-gray-100' : 'text-gray-500'}`}
+									>{$i18n.t('Auth')}</label
+								>
 
 								<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"
+											id="select-bearer-or-session"
+											class={`w-full text-sm bg-transparent pr-5 ${($settings?.highContrastMode ?? false) ? 'placeholder:text-gray-700 dark:placeholder:text-gray-100' : 'outline-hidden placeholder:text-gray-300 dark:placeholder:text-gray-700'}`}
 											bind:value={auth_type}
 										>
 											<option value="bearer">Bearer</option>
@@ -273,13 +286,14 @@
 									<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]">
+											<div
+												class={`text-xs self-center translate-y-[1px] ${($settings?.highContrastMode ?? false) ? 'text-gray-800 dark:text-gray-100' : 'text-gray-500'}`}
+											>
 												{$i18n.t('Forwards system user session credentials to authenticate')}
 											</div>
 										{/if}
@@ -293,11 +307,16 @@
 
 							<div class="flex gap-2">
 								<div class="flex flex-col w-full">
-									<div class=" mb-0.5 text-xs text-gray-500">{$i18n.t('Name')}</div>
+									<label
+										for="enter-name"
+										class={`mb-0.5 text-xs" ${($settings?.highContrastMode ?? false) ? 'text-gray-800 dark:text-gray-100' : 'text-gray-500'}`}
+										>{$i18n.t('Name')}</label
+									>
 
 									<div class="flex-1">
 										<input
-											class="w-full text-sm bg-transparent placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden"
+											id="enter-name"
+											class={`w-full text-sm bg-transparent ${($settings?.highContrastMode ?? false) ? 'placeholder:text-gray-700 dark:placeholder:text-gray-100' : 'outline-hidden placeholder:text-gray-300 dark:placeholder:text-gray-700'}`}
 											type="text"
 											bind:value={name}
 											placeholder={$i18n.t('Enter name')}
@@ -309,11 +328,16 @@
 							</div>
 
 							<div class="flex flex-col w-full mt-2">
-								<div class=" mb-1 text-xs text-gray-500">{$i18n.t('Description')}</div>
+								<label
+									for="description"
+									class={`mb-1 text-xs ${($settings?.highContrastMode ?? false) ? 'text-gray-800 dark:text-gray-100 placeholder:text-gray-700 dark:placeholder:text-gray-100' : 'outline-hidden placeholder:text-gray-300 dark:placeholder:text-gray-700 text-gray-500'}`}
+									>{$i18n.t('Description')}</label
+								>
 
 								<div class="flex-1">
 									<input
-										class="w-full text-sm bg-transparent placeholder:text-gray-300 dark:placeholder:text-gray-700 outline-hidden"
+										id="description"
+										class={`w-full text-sm bg-transparent ${($settings?.highContrastMode ?? false) ? 'placeholder:text-gray-700 dark:placeholder:text-gray-100' : 'outline-hidden placeholder:text-gray-300 dark:placeholder:text-gray-700'}`}
 										type="text"
 										bind:value={description}
 										placeholder={$i18n.t('Enter description')}
@@ -357,29 +381,7 @@
 
 							{#if loading}
 								<div class="ml-2 self-center">
-									<svg
+									<Spinner />
-										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>

src/lib/components/ChangelogModal.svelte

@@ -9,6 +9,7 @@
 
 	import Modal from './common/Modal.svelte';
 	import { updateUserSettings } from '$lib/apis/users';
+	import XMark from '$lib/components/icons/XMark.svelte';
 
 	const i18n = getContext('i18n');
 
@@ -36,18 +37,11 @@
 					localStorage.version = $config.version;
 					show = false;
 				}}
+				aria-label={$i18n.t('Close')}
 			>
-				<svg
+				<XMark className={'size-5'}>
-					xmlns="http://www.w3.org/2000/svg"
-					viewBox="0 0 20 20"
-					fill="currentColor"
-					class="w-5 h-5"
-				>
 					<p class="sr-only">{$i18n.t('Close')}</p>
-					<path
+				</XMark>
-						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 items-center mt-1">

src/lib/components/ImportModal.svelte

@@ -3,7 +3,9 @@
 	import { getContext, onMount } from 'svelte';
 	const i18n = getContext('i18n');
 
+	import Spinner from '$lib/components/common/Spinner.svelte';
 	import Modal from '$lib/components/common/Modal.svelte';
+	import XMark from '$lib/components/icons/XMark.svelte';
 	import { extractFrontmatter } from '$lib/utils';
 
 	export let show = false;
@@ -69,16 +71,7 @@
 					show = false;
 				}}
 			>
-				<svg
+				<XMark className={'size-5'} />
-					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>
 
@@ -120,29 +113,7 @@
 
 							{#if loading}
 								<div class="ml-2 self-center">
-									<svg
+									<Spinner />
-										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>

src/lib/components/NotificationToast.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+	import { WEBUI_BASE_URL } from '$lib/constants';
 	import { settings, playingNotificationSound, isLastActiveTab } from '$lib/stores';
 	import DOMPurify from 'dompurify';
 
@@ -38,7 +39,7 @@
 	}}
 >
 	<div class="shrink-0 self-top -translate-y-0.5">
-		<img src={'/static/favicon.png'} alt="favicon" class="size-7 rounded-full" />
+		<img src="{WEBUI_BASE_URL}/static/favicon.png" alt="favicon" class="size-7 rounded-full" />
 	</div>
 
 	<div>

src/lib/components/OnBoarding.svelte

@@ -19,10 +19,10 @@
 
 			if (isDarkMode) {
 				const darkImage = new Image();
-				darkImage.src = '/static/favicon-dark.png';
+				darkImage.src = `${WEBUI_BASE_URL}/static/favicon-dark.png`;
 
 				darkImage.onload = () => {
-					logo.src = '/static/favicon-dark.png';
+					logo.src = `${WEBUI_BASE_URL}/static/favicon-dark.png`;
 					logo.style.filter = ''; // Ensure no inversion is applied if splash-dark.png exists
 				};
 

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

@@ -13,7 +13,7 @@
 	import GarbageBin from '$lib/components/icons/GarbageBin.svelte';
 	import Pencil from '$lib/components/icons/Pencil.svelte';
 	import Tooltip from '$lib/components/common/Tooltip.svelte';
-	import Download from '$lib/components/icons/Download.svelte';
+	import Download from '$lib/components/icons/ArrowDownTray.svelte';
 
 	let show = false;
 </script>

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

@@ -2,16 +2,41 @@
 	import Modal from '$lib/components/common/Modal.svelte';
 	import { getContext } from 'svelte';
 	const i18n = getContext('i18n');
+	import XMark from '$lib/components/icons/XMark.svelte';
+	import { getFeedbackById } from '$lib/apis/evaluations';
+	import { toast } from 'svelte-sonner';
+	import Spinner from '$lib/components/common/Spinner.svelte';
 
 	export let show = false;
 	export let selectedFeedback = null;
 
 	export let onClose: () => void = () => {};
 
+	let loaded = false;
+
+	let feedbackData = null;
+
 	const close = () => {
 		show = false;
 		onClose();
 	};
+
+	const init = async () => {
+		loaded = false;
+		feedbackData = null;
+		if (selectedFeedback) {
+			feedbackData = await getFeedbackById(localStorage.token, selectedFeedback.id).catch((err) => {
+				return null;
+			});
+
+			console.log('Feedback Data:', selectedFeedback, feedbackData);
+		}
+		loaded = true;
+	};
+
+	$: if (show) {
+		init();
+	}
 </script>
 
 <Modal size="sm" bind:show>
@@ -22,49 +47,75 @@
 					{$i18n.t('Feedback Details')}
 				</div>
 				<button class="self-center" on:click={close} aria-label="Close">
-					<svg
+					<XMark className={'size-5'} />
-						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-5 pb-4 md:space-x-4 dark:text-gray-200">
+				{#if loaded}
 					<div class="flex flex-col w-full">
+						{#if feedbackData}
+							{@const messageId = feedbackData?.meta?.message_id}
+							{@const messages = feedbackData?.snapshot?.chat?.chat?.history.messages}
+
+							{#if messages[messages[messageId]?.parentId]}
+								<div class="flex flex-col w-full mb-2">
+									<div class="mb-1 text-xs text-gray-500">{$i18n.t('Prompt')}</div>
+
+									<div class="flex-1 text-xs whitespace-pre-line break-words">
+										<span>{messages[messages[messageId]?.parentId]?.content || '-'}</span>
+									</div>
+								</div>
+							{/if}
+
+							{#if messages[messageId]}
+								<div class="flex flex-col w-full mb-2">
+									<div class="mb-1 text-xs text-gray-500">{$i18n.t('Response')}</div>
+									<div
+										class="flex-1 text-xs whitespace-pre-line break-words max-h-32 overflow-y-auto"
+									>
+										<span>{messages[messageId]?.content || '-'}</span>
+									</div>
+								</div>
+							{/if}
+						{/if}
+
 						<div class="flex flex-col w-full mb-2">
 							<div class=" mb-1 text-xs text-gray-500">{$i18n.t('Rating')}</div>
 
-						<div class="flex-1">
+							<div class="flex-1 text-xs">
 								<span>{selectedFeedback?.data?.details?.rating ?? '-'}</span>
 							</div>
 						</div>
 						<div class="flex flex-col w-full mb-2">
 							<div class=" mb-1 text-xs text-gray-500">{$i18n.t('Reason')}</div>
 
-						<div class="flex-1">
+							<div class="flex-1 text-xs">
 								<span>{selectedFeedback?.data?.reason || '-'}</span>
 							</div>
 						</div>
 
-					<div class="mb-2">
+						<div class="flex flex-col w-full mb-2">
+							<div class=" mb-1 text-xs text-gray-500">{$i18n.t('Comment')}</div>
+
+							<div class="flex-1 text-xs">
+								<span>{selectedFeedback?.data?.comment || '-'}</span>
+							</div>
+						</div>
+
 						{#if selectedFeedback?.data?.tags && selectedFeedback?.data?.tags.length}
+							<div class="mb-2 -mx-1">
 								<div class="flex flex-wrap gap-1 mt-1">
 									{#each selectedFeedback?.data?.tags as tag}
-									<span class="px-2 py-0.5 rounded bg-gray-100 dark:bg-gray-800 text-xs">{tag}</span
+										<span class="px-2 py-0.5 rounded-full bg-gray-100 dark:bg-gray-850 text-[9px]"
+											>{tag}</span
 										>
 									{/each}
 								</div>
-						{:else}
-							<span>-</span>
-						{/if}
 							</div>
-					<div class="flex justify-end pt-3">
+						{/if}
+
+						<div class="flex justify-end pt-2">
 							<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"
 								type="button"
@@ -74,6 +125,11 @@
 							</button>
 						</div>
 					</div>
+				{:else}
+					<div class="flex items-center justify-center w-full h-32">
+						<Spinner className={'size-5'} />
+					</div>
+				{/if}
 			</div>
 		</div>
 	{/if}

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

@@ -23,6 +23,8 @@
 
 	import ChevronUp from '$lib/components/icons/ChevronUp.svelte';
 	import ChevronDown from '$lib/components/icons/ChevronDown.svelte';
+	import { WEBUI_BASE_URL } from '$lib/constants';
+	import { config } from '$lib/stores';
 
 	export let feedbacks = [];
 
@@ -305,7 +307,7 @@
 			<tbody class="">
 				{#each paginatedFeedbacks as feedback (feedback.id)}
 					<tr
-						class="bg-white dark:bg-gray-900 dark:border-gray-850 text-xs cursor-pointer hover:bg-gray-50 dark:hover:bg-gray-800 transition"
+						class="bg-white dark:bg-gray-900 dark:border-gray-850 text-xs cursor-pointer hover:bg-gray-50 dark:hover:bg-gray-850/50 transition"
 						on:click={() => openFeedbackModal(feedback)}
 					>
 						<td class=" py-0.5 text-right font-semibold">
@@ -313,7 +315,7 @@
 								<Tooltip content={feedback?.user?.name}>
 									<div class="shrink-0">
 										<img
-											src={feedback?.user?.profile_image_url ?? '/user.png'}
+											src={feedback?.user?.profile_image_url ?? `${WEBUI_BASE_URL}/user.png`}
 											alt={feedback?.user?.name}
 											class="size-5 rounded-full object-cover shrink-0"
 										/>
@@ -353,23 +355,26 @@
 								</div>
 							</div>
 						</td>
+
+						{#if feedback?.data?.rating}
 							<td class="px-3 py-1 text-right font-medium text-gray-900 dark:text-white w-max">
 								<div class=" flex justify-end">
-								{#if feedback.data.rating.toString() === '1'}
+									{#if feedback?.data?.rating.toString() === '1'}
 										<Badge type="info" content={$i18n.t('Won')} />
-								{:else if feedback.data.rating.toString() === '0'}
+									{:else if feedback?.data?.rating.toString() === '0'}
 										<Badge type="muted" content={$i18n.t('Draw')} />
-								{:else if feedback.data.rating.toString() === '-1'}
+									{:else if feedback?.data?.rating.toString() === '-1'}
 										<Badge type="error" content={$i18n.t('Lost')} />
 									{/if}
 								</div>
 							</td>
+						{/if}
 
 						<td class=" px-3 py-1 text-right font-medium">
 							{dayjs(feedback.updated_at * 1000).fromNow()}
 						</td>
 
-						<td class=" px-3 py-1 text-right font-semibold">
+						<td class=" px-3 py-1 text-right font-semibold" on:click={(e) => e.stopPropagation()}>
 							<FeedbackMenu
 								on:delete={(e) => {
 									deleteFeedbackHandler(feedback.id);
@@ -389,7 +394,7 @@
 	{/if}
 </div>
 
-{#if feedbacks.length > 0}
+{#if feedbacks.length > 0 && $config?.features?.enable_community_sharing}
 	<div class=" flex flex-col justify-end w-full text-right gap-1">
 		<div class="line-clamp-1 text-gray-500 text-xs">
 			{$i18n.t('Help us create the best community leaderboard by sharing your feedback history!')}

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

@@ -11,10 +11,11 @@
 
 	import Spinner from '$lib/components/common/Spinner.svelte';
 	import Tooltip from '$lib/components/common/Tooltip.svelte';
-	import MagnifyingGlass from '$lib/components/icons/MagnifyingGlass.svelte';
+	import Search from '$lib/components/icons/Search.svelte';
 
 	import ChevronUp from '$lib/components/icons/ChevronUp.svelte';
 	import ChevronDown from '$lib/components/icons/ChevronDown.svelte';
+	import { WEBUI_BASE_URL } from '$lib/constants';
 
 	const i18n = getContext('i18n');
 
@@ -77,7 +78,7 @@
 	let showLeaderboardModal = false;
 	let selectedModel = null;
 
-	const openFeedbackModal = (model) => {
+	const openLeaderboardModelModal = (model) => {
 		showLeaderboardModal = true;
 		selectedModel = model;
 	};
@@ -150,6 +151,8 @@
 		}
 
 		feedbacks.forEach((feedback) => {
+			if (!feedback?.data?.model_id || !feedback?.data?.rating) return;
+
 			const modelA = feedback.data.model_id;
 			const statsA = getOrDefaultStats(modelA);
 			let outcome: number;
@@ -350,7 +353,7 @@
 		<Tooltip content={$i18n.t('Re-rank models by topic similarity')}>
 			<div class="flex flex-1">
 				<div class=" self-center ml-1 mr-3">
-					<MagnifyingGlass className="size-3" />
+					<Search className="size-3" />
 				</div>
 				<input
 					class=" w-full text-sm pr-4 py-1 rounded-r-xl outline-hidden bg-transparent"
@@ -371,7 +374,7 @@
 	{#if loadingLeaderboard}
 		<div class=" absolute top-0 bottom-0 left-0 right-0 flex">
 			<div class="m-auto">
-				<Spinner />
+				<Spinner className="size-5" />
 			</div>
 		</div>
 	{/if}
@@ -504,8 +507,8 @@
 			<tbody class="">
 				{#each sortedModels as model, modelIdx (model.id)}
 					<tr
-						class="bg-white dark:bg-gray-900 dark:border-gray-850 text-xs group cursor-pointer hover:bg-gray-50 dark:hover:bg-gray-800 transition"
+						class="bg-white dark:bg-gray-900 dark:border-gray-850 text-xs group cursor-pointer hover:bg-gray-50 dark:hover:bg-gray-850/50 transition"
-						on:click={() => openFeedbackModal(model)}
+						on:click={() => openLeaderboardModelModal(model)}
 					>
 						<td class="px-3 py-1.5 text-left font-medium text-gray-900 dark:text-white w-fit">
 							<div class=" line-clamp-1">
@@ -516,7 +519,7 @@
 							<div class="flex items-center gap-2">
 								<div class="shrink-0">
 									<img
-										src={model?.info?.meta?.profile_image_url ?? '/favicon.png'}
+										src={model?.info?.meta?.profile_image_url ?? `${WEBUI_BASE_URL}/favicon.png`}
 										alt={model.name}
 										class="size-5 rounded-full object-cover shrink-0"
 									/>

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

@@ -6,6 +6,7 @@
 	export let feedbacks = [];
 	export let onClose: () => void = () => {};
 	const i18n = getContext('i18n');
+	import XMark from '$lib/components/icons/XMark.svelte';
 
 	const close = () => {
 		show = false;
@@ -37,25 +38,16 @@
 				{model.name}
 			</div>
 			<button class="self-center" on:click={close} aria-label="Close">
-				<svg
+				<XMark className={'size-5'} />
-					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="px-5 pb-4 dark:text-gray-200">
 			<div class="mb-2">
 				{#if topTags.length}
-					<div class="flex flex-wrap gap-1 mt-1">
+					<div class="flex flex-wrap gap-1 mt-1 -mx-1">
 						{#each topTags as tagInfo}
-							<span class="px-2 py-0.5 rounded bg-gray-100 dark:bg-gray-800 text-xs">
+							<span class="px-2 py-0.5 rounded-full bg-gray-100 dark:bg-gray-850 text-xs">
-								{tagInfo.tag} <span class="text-gray-500">({tagInfo.count})</span>
+								{tagInfo.tag} <span class="text-gray-500 font-medium">{tagInfo.count}</span>
 							</span>
 						{/each}
 					</div>
@@ -63,7 +55,7 @@
 					<span>-</span>
 				{/if}
 			</div>
-			<div class="flex justify-end pt-3">
+			<div class="flex justify-end pt-2">
 				<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"
 					type="button"

src/lib/components/admin/Functions.svelte

@@ -49,6 +49,8 @@
 	let showConfirm = false;
 	let query = '';
 
+	let selectedType = 'all';
+
 	let showManifestModal = false;
 	let showValvesModal = false;
 	let selectedFunction = null;
@@ -59,9 +61,10 @@
 	$: filteredItems = $functions
 		.filter(
 			(f) =>
-				query === '' ||
+				(selectedType !== 'all' ? f.type === selectedType : true) &&
+				(query === '' ||
 					f.name.toLowerCase().includes(query.toLowerCase()) ||
-				f.id.toLowerCase().includes(query.toLowerCase())
+					f.id.toLowerCase().includes(query.toLowerCase()))
 		)
 		.sort((a, b) => a.type.localeCompare(b.type) || a.name.localeCompare(b.name));
 
@@ -135,7 +138,9 @@
 			models.set(
 				await getModels(
 					localStorage.token,
-					$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
+					$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null),
+					false,
+					true
 				)
 			);
 		}
@@ -161,7 +166,9 @@
 			models.set(
 				await getModels(
 					localStorage.token,
-					$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
+					$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null),
+					false,
+					true
 				)
 			);
 		}
@@ -215,8 +222,8 @@
 	}}
 />
 
-<div class="flex flex-col gap-1 mt-1.5 mb-2">
+<div class="flex flex-col mt-1.5 mb-0.5">
-	<div class="flex justify-between items-center">
+	<div class="flex justify-between items-center mb-1">
 		<div class="flex md:self-center text-xl items-center font-medium px-0.5">
 			{$i18n.t('Functions')}
 			<div class="flex self-center w-[1px] h-6 mx-2.5 bg-gray-50 dark:bg-gray-850" />
@@ -266,12 +273,54 @@
 			</AddFunctionMenu>
 		</div>
 	</div>
+
+	<div class=" flex w-full">
+		<div
+			class="flex gap-1 scrollbar-none overflow-x-auto w-fit text-center text-sm font-medium rounded-full bg-transparent"
+		>
+			<button
+				class="min-w-fit p-1.5 {selectedType === 'all'
+					? ''
+					: 'text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'} transition"
+				on:click={() => {
+					selectedType = 'all';
+				}}>{$i18n.t('All')}</button
+			>
+
+			<button
+				class="min-w-fit p-1.5 {selectedType === 'pipe'
+					? ''
+					: 'text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'} transition"
+				on:click={() => {
+					selectedType = 'pipe';
+				}}>{$i18n.t('Pipe')}</button
+			>
+
+			<button
+				class="min-w-fit p-1.5 {selectedType === 'filter'
+					? ''
+					: 'text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'} transition"
+				on:click={() => {
+					selectedType = 'filter';
+				}}>{$i18n.t('Filter')}</button
+			>
+
+			<button
+				class="min-w-fit p-1.5 {selectedType === 'action'
+					? ''
+					: 'text-gray-300 dark:text-gray-600 hover:text-gray-700 dark:hover:text-white'} transition"
+				on:click={() => {
+					selectedType = 'action';
+				}}>{$i18n.t('Action')}</button
+			>
+		</div>
+	</div>
 </div>
 
 <div class="mb-5">
 	{#each filteredItems as func (func.id)}
 		<div
-			class=" flex space-x-4 cursor-pointer w-full px-3 py-2 dark:hover:bg-white/5 hover:bg-black/5 rounded-xl"
+			class=" flex space-x-4 cursor-pointer w-full px-2 py-2 dark:hover:bg-white/5 hover:bg-black/5 rounded-xl"
 		>
 			<a
 				class=" flex flex-1 space-x-3.5 cursor-pointer w-full"
@@ -413,7 +462,9 @@
 									await getModels(
 										localStorage.token,
 										$config?.features?.enable_direct_connections &&
-											($settings?.directConnections ?? null)
+											($settings?.directConnections ?? null),
+										false,
+										true
 									)
 								);
 							}}
@@ -518,7 +569,7 @@
 
 		<a
 			class=" flex cursor-pointer items-center justify-between hover:bg-gray-50 dark:hover:bg-gray-850 w-full mb-2 px-3.5 py-1.5 rounded-xl transition"
-			href="https://openwebui.com/#open-webui-community"
+			href="https://openwebui.com/functions"
 			target="_blank"
 		>
 			<div class=" self-center">
@@ -559,7 +610,9 @@
 		models.set(
 			await getModels(
 				localStorage.token,
-				$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
+				$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null),
+				false,
+				true
 			)
 		);
 	}}
@@ -585,7 +638,9 @@
 			models.set(
 				await getModels(
 					localStorage.token,
-					$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
+					$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null),
+					false,
+					true
 				)
 			);
 		};

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

@@ -12,6 +12,7 @@
 	} from '$lib/apis/audio';
 	import { config, settings } from '$lib/stores';
 
+	import Spinner from '$lib/components/common/Spinner.svelte';
 	import SensitiveInput from '$lib/components/common/SensitiveInput.svelte';
 
 	import { TTS_RESPONSE_SPLIT } from '$lib/types';
@@ -199,7 +200,9 @@
 								<input
 									class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-hidden"
 									bind:value={STT_SUPPORTED_CONTENT_TYPES}
-									placeholder={$i18n.t('e.g., audio/wav,audio/mpeg (leave blank for defaults)')}
+									placeholder={$i18n.t(
+										'e.g., audio/wav,audio/mpeg,video/* (leave blank for defaults)'
+									)}
 								/>
 							</div>
 						</div>
@@ -373,33 +376,7 @@
 							>
 								{#if STT_WHISPER_MODEL_LOADING}
 									<div class="self-center">
-										<svg
+										<Spinner />
-											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

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

@@ -7,7 +7,7 @@
 	import { getOllamaConfig, updateOllamaConfig } from '$lib/apis/ollama';
 	import { getOpenAIConfig, updateOpenAIConfig, getOpenAIModels } from '$lib/apis/openai';
 	import { getModels as _getModels } from '$lib/apis';
-	import { getDirectConnectionsConfig, setDirectConnectionsConfig } from '$lib/apis/configs';
+	import { getConnectionsConfig, setConnectionsConfig } from '$lib/apis/configs';
 
 	import { config, models, settings, user } from '$lib/stores';
 
@@ -25,7 +25,9 @@
 	const getModels = async () => {
 		const models = await _getModels(
 			localStorage.token,
-			$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null)
+			$config?.features?.enable_direct_connections && ($settings?.directConnections ?? null),
+			false,
+			true
 		);
 		return models;
 	};
@@ -41,7 +43,7 @@
 	let ENABLE_OPENAI_API: null | boolean = null;
 	let ENABLE_OLLAMA_API: null | boolean = null;
 
-	let directConnectionsConfig = null;
+	let connectionsConfig = null;
 
 	let pipelineUrls = {};
 	let showAddOpenAIConnectionModal = false;
@@ -104,15 +106,13 @@
 		}
 	};
 
-	const updateDirectConnectionsHandler = async () => {
+	const updateConnectionsHandler = async () => {
-		const res = await setDirectConnectionsConfig(localStorage.token, directConnectionsConfig).catch(
+		const res = await setConnectionsConfig(localStorage.token, connectionsConfig).catch((error) => {
-			(error) => {
 			toast.error(`${error}`);
-			}
+		});
-		);
 
 		if (res) {
-			toast.success($i18n.t('Direct Connections settings updated'));
+			toast.success($i18n.t('Connections settings updated'));
 			await models.set(await getModels());
 		}
 	};
@@ -148,7 +148,7 @@
 					openaiConfig = await getOpenAIConfig(localStorage.token);
 				})(),
 				(async () => {
-					directConnectionsConfig = await getDirectConnectionsConfig(localStorage.token);
+					connectionsConfig = await getConnectionsConfig(localStorage.token);
 				})()
 			]);
 
@@ -196,7 +196,6 @@
 	const submitHandler = async () => {
 		updateOpenAIHandler();
 		updateOllamaHandler();
-		updateDirectConnectionsHandler();
 
 		dispatch('save');
 	};
@@ -215,9 +214,14 @@
 
 <form class="flex flex-col h-full justify-between text-sm" on:submit|preventDefault={submitHandler}>
 	<div class=" overflow-y-scroll scrollbar-hidden h-full">
-		{#if ENABLE_OPENAI_API !== null && ENABLE_OLLAMA_API !== null && directConnectionsConfig !== null}
+		{#if ENABLE_OPENAI_API !== null && ENABLE_OLLAMA_API !== null && connectionsConfig !== null}
+			<div class="mb-3.5">
+				<div class=" mb-2.5 text-base font-medium">{$i18n.t('General')}</div>
+
+				<hr class=" border-gray-100 dark:border-gray-850 my-2" />
+
 				<div class="my-2">
-				<div class="mt-2 space-y-2 pr-1.5">
+					<div class="mt-2 space-y-2">
 						<div class="flex justify-between items-center text-sm">
 							<div class="  font-medium">{$i18n.t('OpenAI API')}</div>
 
@@ -234,11 +238,9 @@
 						</div>
 
 						{#if ENABLE_OPENAI_API}
-						<hr class=" border-gray-100 dark:border-gray-850" />
-
 							<div class="">
 								<div class="flex justify-between items-center">
-								<div class="font-medium">{$i18n.t('Manage OpenAI API Connections')}</div>
+									<div class="font-medium text-xs">{$i18n.t('Manage OpenAI API Connections')}</div>
 
 									<Tooltip content={$i18n.t(`Add Connection`)}>
 										<button
@@ -271,7 +273,8 @@
 
 												let newConfig = {};
 												OPENAI_API_BASE_URLS.forEach((url, newIdx) => {
-												newConfig[newIdx] = OPENAI_API_CONFIGS[newIdx < idx ? newIdx : newIdx + 1];
+													newConfig[newIdx] =
+														OPENAI_API_CONFIGS[newIdx < idx ? newIdx : newIdx + 1];
 												});
 												OPENAI_API_CONFIGS = newConfig;
 												updateOpenAIHandler();
@@ -284,9 +287,7 @@
 					</div>
 				</div>
 
-			<hr class=" border-gray-100 dark:border-gray-850" />
+				<div class=" my-2">
-
-			<div class="pr-1.5 my-2">
 					<div class="flex justify-between items-center text-sm mb-2">
 						<div class="  font-medium">{$i18n.t('Ollama API')}</div>
 
@@ -301,11 +302,9 @@
 					</div>
 
 					{#if ENABLE_OLLAMA_API}
-					<hr class=" border-gray-100 dark:border-gray-850 my-2" />
-
 						<div class="">
 							<div class="flex justify-between items-center">
-							<div class="font-medium">{$i18n.t('Manage Ollama API Connections')}</div>
+								<div class="font-medium text-xs">{$i18n.t('Manage Ollama API Connections')}</div>
 
 								<Tooltip content={$i18n.t(`Add Connection`)}>
 									<button
@@ -335,7 +334,8 @@
 
 												let newConfig = {};
 												OLLAMA_BASE_URLS.forEach((url, newIdx) => {
-												newConfig[newIdx] = OLLAMA_API_CONFIGS[newIdx < idx ? newIdx : newIdx + 1];
+													newConfig[newIdx] =
+														OLLAMA_API_CONFIGS[newIdx < idx ? newIdx : newIdx + 1];
 												});
 												OLLAMA_API_CONFIGS = newConfig;
 											}}
@@ -358,31 +358,53 @@
 					{/if}
 				</div>
 
-			<hr class=" border-gray-100 dark:border-gray-850" />
+				<div class="my-2">
-
-			<div class="pr-1.5 my-2">
 					<div class="flex justify-between items-center text-sm">
 						<div class="  font-medium">{$i18n.t('Direct Connections')}</div>
 
 						<div class="flex items-center">
 							<div class="">
 								<Switch
-								bind:state={directConnectionsConfig.ENABLE_DIRECT_CONNECTIONS}
+									bind:state={connectionsConfig.ENABLE_DIRECT_CONNECTIONS}
 									on:change={async () => {
-									updateDirectConnectionsHandler();
+										updateConnectionsHandler();
 									}}
 								/>
 							</div>
 						</div>
 					</div>
 
-				<div class="mt-1.5">
+					<div class="mt-1 text-xs text-gray-400 dark:text-gray-500">
-					<div class="text-xs text-gray-500">
 						{$i18n.t(
 							'Direct Connections allow users to connect to their own OpenAI compatible API endpoints.'
 						)}
 					</div>
 				</div>
+
+				<hr class=" border-gray-100 dark:border-gray-850 my-2" />
+
+				<div class="my-2">
+					<div class="flex justify-between items-center text-sm">
+						<div class=" text-xs font-medium">{$i18n.t('Cache Base Model List')}</div>
+
+						<div class="flex items-center">
+							<div class="">
+								<Switch
+									bind:state={connectionsConfig.ENABLE_BASE_MODELS_CACHE}
+									on:change={async () => {
+										updateConnectionsHandler();
+									}}
+								/>
+							</div>
+						</div>
+					</div>
+
+					<div class="mt-1 text-xs text-gray-400 dark:text-gray-500">
+						{$i18n.t(
+							'Base Model List Cache speeds up access by fetching base models only at startup or on settings save—faster, but may not show recent base model changes.'
+						)}
+					</div>
+				</div>
 			</div>
 		{:else}
 			<div class="flex h-full justify-center">

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

@@ -5,6 +5,7 @@
 
 	import Modal from '$lib/components/common/Modal.svelte';
 	import ManageOllama from '../Models/Manage/ManageOllama.svelte';
+	import XMark from '$lib/components/icons/XMark.svelte';
 
 	export let show = false;
 	export let urlIdx: number | null = null;
@@ -26,16 +27,7 @@
 					show = false;
 				}}
 			>
-				<svg
+				<XMark className={'size-5'} />
-					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>