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@ -11,9 +11,9 @@ body:
## Important Notes
- **Before submitting a bug report**: Please check the [Issues](https://github.com/open-webui/open-webui/issues) and [Discussions](https://github.com/open-webui/open-webui/discussions) sections to see if a similar issue has already been reported. If unsure, start a discussion first, as this helps us efficiently focus on improving the project. Duplicates may be closed without notice. **Please search for existing issues AND discussions. No matter open or closed.**
- **Before submitting a bug report**: Please check the [Issues](https://github.com/open-webui/open-webui/issues) and [Discussions](https://github.com/open-webui/open-webui/discussions) sections to see if a similar issue has already been reported. If unsure, start a discussion first, as this helps us efficiently focus on improving the project. Duplicates may be closed without notice. **Please search for existing issues and discussions.**
- Check for opened, **but also for (recently) CLOSED issues** as the issue you are trying to report **might already have been fixed on the dev branch!**
- Check for opened, **but also for (recently) CLOSED issues** as the issue you are trying to report **might already have been fixed!**
- **Respectful collaboration**: Open WebUI is a volunteer-driven project with a single maintainer and contributors who also have full-time jobs. Please be constructive and respectful in your communication.
@ -21,8 +21,6 @@ body:
- **Bug Reproducibility**: If a bug cannot be reproduced using a `:main` or `:dev` Docker setup or with `pip install` on Python 3.11, community assistance may be required. In such cases, we will move it to the "[Issues](https://github.com/open-webui/open-webui/discussions/categories/issues)" Discussions section. Your help is appreciated!
- **Scope**: If you want to report a SECURITY VULNERABILITY, then do so through our [GitHub security page](https://github.com/open-webui/open-webui/security).
- type: checkboxes
id: issue-check
attributes:
@ -33,8 +31,6 @@ body:
required: true
- label: I have searched for any existing and/or related discussions.
required: true
- label: I have also searched in the CLOSED issues AND CLOSED discussions and found no related items (your issue might already be addressed on the development branch!).
required: true
- label: I am using the latest version of Open WebUI.
required: true

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@ -8,21 +8,11 @@ body:
value: |
## Important Notes
### Before submitting
Please check the **open AND closed** [Issues](https://github.com/open-webui/open-webui/issues) AND [Discussions](https://github.com/open-webui/open-webui/discussions) to see if a similar request has been posted.
Please check the open AND closed [Issues](https://github.com/open-webui/open-webui/issues) AND [Discussions](https://github.com/open-webui/open-webui/discussions) to see if a similar request has been posted.
It's likely we're already tracking it! If youre unsure, start a discussion post first.
#### Scope
If your feature request is likely to take more than a quick coding session to implement, test and verify, then open it in the **Ideas** section of the [Discussions](https://github.com/open-webui/open-webui/discussions) instead.
**We will close and force move your feature request to the Ideas section, if we believe your feature request is not trivial/quick to implement.**
This is to ensure the issues tab is used only for issues, quickly addressable feature requests and tracking tickets by the maintainers.
Other feature requests belong in the **Ideas** section of the [Discussions](https://github.com/open-webui/open-webui/discussions).
If your feature request might impact others in the community, definitely open a discussion instead and evaluate whether and how to implement it.
If your feature request might impact others in the community, consider opening a discussion instead and evaluate whether and how to implement it.
This will help us efficiently focus on improving the project.
### Collaborate respectfully
We value a **constructive attitude**, so please be mindful of your communication. If negativity is part of your approach, our capacity to engage may be limited. We're here to help if you're **open to learning** and **communicating positively**.
@ -33,6 +23,7 @@ body:
We appreciate your time and ask that you **respect ours**.
### Contributing
If you encounter an issue, we highly encourage you to submit a pull request or fork the project. We actively work to prevent contributor burnout to maintain the quality and continuity of Open WebUI.
@ -45,22 +36,14 @@ body:
label: Check Existing Issues
description: Please confirm that you've checked for existing similar requests
options:
- label: I have searched for all existing **open AND closed** issues and discussions for similar requests. I have found none that is comparable to my request.
required: true
- type: checkboxes
id: feature-scope
attributes:
label: Verify Feature Scope
description: Please confirm the feature's scope is within the described scope
options:
- label: I have read through and understood the scope definition for feature requests in the Issues section. I believe my feature request meets the definition and belongs in the Issues section instead of the Discussions.
- label: I have searched all existing open AND closed issues and discussions for similar requests. I have found none that is comparable to my request.
required: true
- type: textarea
id: problem-description
attributes:
label: Problem Description
description: Is your feature request related to a problem? Please provide a clear and concise description of what the problem is.
placeholder: "Ex. I'm always frustrated when... / Not related to a problem"
placeholder: "Ex. I'm always frustrated when..."
validations:
required: true
- type: textarea

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@ -1,18 +1,16 @@
# Pull Request Checklist
### Note to first-time contributors: Please open a discussion post in [Discussions](https://github.com/open-webui/open-webui/discussions) to discuss your idea/fix with the community before creating a pull request, and describe your changes before submitting a pull request.
This is to ensure large feature PRs are discussed with the community first, before starting work on it. If the community does not want this feature or it is not relevant for Open WebUI as a project, it can be identified in the discussion before working on the feature and submitting the PR.
### Note to first-time contributors: Please open a discussion post in [Discussions](https://github.com/open-webui/open-webui/discussions) and describe your changes before submitting a pull request.
**Before submitting, make sure you've checked the following:**
- [ ] **Target branch:** Verify that the pull request targets the `dev` branch. **Not targeting the `dev` branch will lead to immediate closure of the PR.**
- [ ] **Description:** Provide a concise description of the changes made in this pull request down below.
- [ ] **Target branch:** Verify that the pull request targets the `dev` branch. Not targeting the `dev` branch may lead to immediate closure of the PR.
- [ ] **Description:** Provide a concise description of the changes made in this pull request.
- [ ] **Changelog:** Ensure a changelog entry following the format of [Keep a Changelog](https://keepachangelog.com/) is added at the bottom of the PR description.
- [ ] **Documentation:** If necessary, update relevant documentation [Open WebUI Docs](https://github.com/open-webui/docs) like environment variables, the tutorials, or other documentation sources.
- [ ] **Dependencies:** Are there any new dependencies? Have you updated the dependency versions in the documentation?
- [ ] **Testing:** Perform manual tests to **verify the implemented fix/feature works as intended AND does not break any other functionality**. Take this as an opportunity to **make screenshots of the feature/fix and include it in the PR description**.
- [ ] **Agentic AI Code:** Confirm this Pull Request is **not written by any AI Agent** or has at least **gone through additional human review AND manual testing**. If any AI Agent is the co-author of this PR, it may lead to immediate closure of the PR.
- [ ] **Testing:** Perform manual tests to verify the implemented fix/feature works as intended AND does not break any other functionality. Take this as an opportunity to make screenshots of the feature/fix and include it in the PR description.
- [ ] **Agentic AI Code:**: Confirm this Pull Request is **not written by any AI Agent** or has at least gone through additional human review **and** manual testing. If any AI Agent is the co-author of this PR, it may lead to immediate closure of the PR.
- [ ] **Code review:** Have you performed a self-review of your code, addressing any coding standard issues and ensuring adherence to the project's coding standards?
- [ ] **Title Prefix:** To clearly categorize this pull request, prefix the pull request title using one of the following:
- **BREAKING CHANGE**: Significant changes that may affect compatibility
@ -77,6 +75,3 @@ This is to ensure large feature PRs are discussed with the community first, befo
### Contributor License Agreement
By submitting this pull request, I confirm that I have read and fully agree to the [Contributor License Agreement (CLA)](https://github.com/open-webui/open-webui/blob/main/CONTRIBUTOR_LICENSE_AGREEMENT), and I am providing my contributions under its terms.
> [!NOTE]
> Deleting the CLA section will lead to immediate closure of your PR and it will not be merged in.

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@ -141,9 +141,6 @@ jobs:
platform=${{ matrix.platform }}
echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
- name: Delete huge unnecessary tools folder
run: rm -rf /opt/hostedtoolcache
- name: Checkout repository
uses: actions/checkout@v5
@ -246,9 +243,6 @@ jobs:
platform=${{ matrix.platform }}
echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
- name: Delete huge unnecessary tools folder
run: rm -rf /opt/hostedtoolcache
- name: Checkout repository
uses: actions/checkout@v5

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@ -5,307 +5,6 @@ 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).
## [0.6.41] - 2025-12-02
### Added
- 🚦 Sign-in rate limiting was implemented to protect against brute force attacks, limiting login attempts to 15 per 3-minute window per email address using Redis with automatic fallback to in-memory storage when Redis is unavailable. [Commit](https://github.com/open-webui/open-webui/commit/7b166370432414ce8f186747fb098e0c70fb2d6b)
- 📂 Administrators can now globally disable the folders feature and control user-level folder permissions through the admin panel, enabling minimalist interface configurations for deployments that don't require workspace organization features. [#19529](https://github.com/open-webui/open-webui/pull/19529), [#19210](https://github.com/open-webui/open-webui/discussions/19210), [#18459](https://github.com/open-webui/open-webui/discussions/18459), [#18299](https://github.com/open-webui/open-webui/discussions/18299)
- 👥 Group channels were introduced as a new channel type enabling membership-based collaboration spaces where users explicitly join as members rather than accessing through permissions, with support for public or private visibility, automatic member inclusion from specified user groups, member role tracking with invitation metadata, and post-creation member management allowing channel managers to add or remove members through the channel info modal. [Commit](https://github.com/open-webui/open-webui/commit/f589b7c1895a6a77166c047891acfa21bc0936c4), [Commit](https://github.com/open-webui/open-webui/commit/3f1d9ccbf8443a2fa5278f36202bad930a216680)
- 💬 Direct Message channels were introduced with a dedicated channel type selector and multi-user member selection interface, enabling private conversations between specific users without requiring full channel visibility. [Commit](https://github.com/open-webui/open-webui/commit/64b4d5d9c280b926746584aaf92b447d09deb386)
- 📨 Direct Message channels now support a complete user-to-user messaging system with member-based access control, automatic deduplication for one-on-one conversations, optional channel naming, and distinct visual presentation using participant avatars instead of channel icons. [Commit](https://github.com/open-webui/open-webui/commit/acccb9afdd557274d6296c70258bb897bbb6652f)
- 🙈 Users can now hide Direct Message channels from their sidebar while preserving message history, with automatic reactivation when new messages arrive from other participants, providing a cleaner interface for managing active conversations. [Commit](https://github.com/open-webui/open-webui/commit/acccb9afdd557274d6296c70258bb897bbb6652f)
- ☑️ A comprehensive user selection component was added to the channel creation modal, featuring search functionality, sortable user lists, pagination support, and multi-select checkboxes for building Direct Message participant lists. [Commit](https://github.com/open-webui/open-webui/commit/acccb9afdd557274d6296c70258bb897bbb6652f)
- 🔴 Channel unread message count tracking was implemented with visual badge indicators in the sidebar, automatically updating counts in real-time and marking messages as read when users view channels, with join/leave functionality to manage membership status. [Commit](https://github.com/open-webui/open-webui/commit/64b4d5d9c280b926746584aaf92b447d09deb386)
- 📌 Message pinning functionality was added to channels, allowing users to pin important messages for easy reference with visual highlighting, a dedicated pinned messages modal accessible from the navbar, and complete backend support for tracking pinned status, pin timestamp, and the user who pinned each message. [Commit](https://github.com/open-webui/open-webui/commit/64b4d5d9c280b926746584aaf92b447d09deb386), [Commit](https://github.com/open-webui/open-webui/commit/aae2fce17355419d9c29f8100409108037895201)
- 🟢 Direct Message channels now display an active status indicator for one-on-one conversations, showing a green dot when the other participant is currently online or a gray dot when offline. [Commit](https://github.com/open-webui/open-webui/commit/4b6773885cd7527c5a56b963781dac5e95105eec), [Commit](https://github.com/open-webui/open-webui/commit/39645102d14f34e71b34e5ddce0625790be33f6f)
- 🆔 Users can now start Direct Message conversations directly from user profile previews by clicking the "Message" button, enabling quick access to private messaging without navigating away from the current channel. [Commit](https://github.com/open-webui/open-webui/commit/a0826ec9fedb56320532616d568fa59dda831d4e)
- ⚡ Channel messages now appear instantly when sent using optimistic UI rendering, displaying with a pending state while the server confirms delivery, providing a more responsive messaging experience. [Commit](https://github.com/open-webui/open-webui/commit/25994dd3da90600401f53596d4e4fb067c1b8eaa)
- 👍 Channel message reactions now display the names of users who reacted when hovering over the emoji, showing up to three names with a count for additional reactors. [Commit](https://github.com/open-webui/open-webui/commit/05e79bdd0c7af70b631e958924e3656db1013b80)
- 🛠️ Channel creators can now edit and delete their own group and DM channels without requiring administrator privileges, enabling users to manage the channels they create independently. [Commit](https://github.com/open-webui/open-webui/commit/f589b7c1895a6a77166c047891acfa21bc0936c4)
- 🔌 A new API endpoint was added to directly get or create a Direct Message channel with a specific user by their ID, streamlining programmatic DM channel creation for integrations and frontend workflows. [Commit](https://github.com/open-webui/open-webui/commit/f589b7c1895a6a77166c047891acfa21bc0936c4)
- 💭 Users can now set a custom status with an emoji and message that displays in profile previews, the sidebar user menu, and Direct Message channel items in the sidebar, with the ability to clear status at any time, providing visibility into availability or current focus similar to team communication platforms. [Commit](https://github.com/open-webui/open-webui/commit/51621ba91a982e52da168ce823abffd11ad3e4fa), [Commit](https://github.com/open-webui/open-webui/commit/f5e8d4d5a004115489c35725408b057e24dfe318)
- 📤 A group export API endpoint was added, enabling administrators to export complete group data including member lists for backup and migration purposes. [Commit](https://github.com/open-webui/open-webui/commit/09b6ea38c579659f8ca43ae5ea3746df3ac561ad)
- 📡 A new API endpoint was added to retrieve all users belonging to a specific group, enabling programmatic access to group membership information for administrative workflows. [Commit](https://github.com/open-webui/open-webui/commit/01868e856a10f474f74fbd1b4425dafdf949222f)
- 👁️ The admin user list now displays an active status indicator next to each user, showing a visual green dot for users who have been active within the last three minutes. [Commit](https://github.com/open-webui/open-webui/commit/1b095d12ff2465b83afa94af89ded9593f8a8655)
- 🔑 The admin user edit modal now displays OAuth identity information with a per-provider breakdown, showing each linked identity provider and its associated subject identifier separately. [#19573](https://github.com/open-webui/open-webui/pull/19573)
- 🧩 OAuth role claim parsing now respects the "OAUTH_ROLES_SEPARATOR" configuration, enabling proper parsing of roles returned as comma-separated strings and providing consistent behavior with group claim handling. [#19514](https://github.com/open-webui/open-webui/pull/19514)
- 🎛️ Channel feature access can now be controlled through both the "USER_PERMISSIONS_FEATURES_CHANNELS" environment variable and group permission toggles in the admin panel, allowing administrators to restrict channel functionality for specific users or groups while defaulting to enabled for all users. [Commit](https://github.com/open-webui/open-webui/commit/f589b7c1895a6a77166c047891acfa21bc0936c4)
- 🎨 The model editor interface was refined with access control settings moved to a dedicated modal, group member counts now displayed when configuring permissions, reorganized layout with improved visual hierarchy, and redesigned prompt suggestions cards with tooltips for field guidance. [Commit](https://github.com/open-webui/open-webui/commit/e65d92fc6f49da5ca059e1c65a729e7973354b99), [Commit](https://github.com/open-webui/open-webui/commit/9d39b9b42c653ee2acf2674b2df343ecbceb4954)
- 🏗️ Knowledge base file management was rebuilt with a dedicated database table replacing the previous JSON array storage, enabling pagination support for large knowledge bases, significantly faster file listing performance, and more reliable file-knowledge base relationship tracking. [Commit](https://github.com/open-webui/open-webui/commit/d19023288e2ca40f86e2dc3fd9f230540f3e70d7)
- ☁️ Azure Document Intelligence model selection was added, allowing administrators to specify which model to use for document processing via the "DOCUMENT_INTELLIGENCE_MODEL" environment variable or admin UI setting, with "prebuilt-layout" as the default. [#19692](https://github.com/open-webui/open-webui/pull/19692), [Docs:#872](https://github.com/open-webui/docs/pull/872)
- 🚀 Milvus multitenancy vector database performance was improved by removing manual flush calls after upsert operations, eliminating rate limit errors and reducing load on etcd and MinIO/S3 storage by allowing Milvus to manage segment persistence automatically via its WAL and auto-flush policies. [#19680](https://github.com/open-webui/open-webui/pull/19680)
- ✨ Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
- 🌍 Translations for German, French, Portuguese (Brazil), Catalan, Simplified Chinese, and Traditional Chinese were enhanced and expanded.
### Fixed
- 🔄 Tool call response token duplication was fixed by removing redundant message history additions in non-native function calling mode, resolving an issue where tool results were included twice in the context and causing 2x token consumption. [#19656](https://github.com/open-webui/open-webui/issues/19656), [Commit](https://github.com/open-webui/open-webui/commit/52ccab8)
- 🛡️ Web search domain filtering was corrected to properly block results when any resolved hostname or IP address matches a blocked domain, preventing blocked sites from appearing in search results due to permissive hostname resolution logic that previously allowed results through if any single resolved address passed the filter. [#19670](https://github.com/open-webui/open-webui/pull/19670), [#19669](https://github.com/open-webui/open-webui/issues/19669)
- 🧠 Custom models based on Ollama or OpenAI now properly inherit the connection type from their base model, ensuring they appear correctly in the "Local" or "External" model selection tabs instead of only appearing under "All". [#19183](https://github.com/open-webui/open-webui/issues/19183), [Commit](https://github.com/open-webui/open-webui/commit/39f7575)
- 🐍 SentenceTransformers embedding initialization was fixed by updating the transformers dependency to version 4.57.3, resolving a regression in v0.6.40 where document ingestion failed with "'NoneType' object has no attribute 'encode'" errors due to a bug in transformers 4.57.2. [#19512](https://github.com/open-webui/open-webui/issues/19512), [#19513](https://github.com/open-webui/open-webui/pull/19513)
- 📈 Active user count accuracy was significantly improved by replacing the socket-based USER_POOL tracking with a database-backed heartbeat mechanism, resolving long-standing issues where Redis deployments displayed inflated user counts due to stale sessions never being cleaned up on disconnect. [#16074](https://github.com/open-webui/open-webui/discussions/16074), [Commit](https://github.com/open-webui/open-webui/commit/70948f8803e417459d5203839f8077fdbfbbb213)
- 👥 Default group assignment now applies consistently across all user registration methods including OAuth/SSO, LDAP, and admin-created users, fixing an issue where the "DEFAULT_GROUP_ID" setting was only being applied to users who signed up via the email/password signup form. [#19685](https://github.com/open-webui/open-webui/pull/19685)
- 🔦 Model list filtering in workspaces was corrected to properly include models shared with user groups, ensuring members can view models they have write access to through group permissions. [#19461](https://github.com/open-webui/open-webui/issues/19461), [Commit](https://github.com/open-webui/open-webui/commit/69722ba973768a5f689f2e2351bf583a8db9bba8)
- 🖼️ User profile image display in preview contexts was fixed by resolving a Pydantic validation error that prevented proper rendering. [Commit](https://github.com/open-webui/open-webui/commit/c7eb7136893b0ddfdc5d55ffc7a05bd84a00f5d6)
- 🔒 Redis TLS connection failures were resolved by updating the python-socketio dependency to version 5.15.0, restoring support for the "rediss://" URL schema. [#19480](https://github.com/open-webui/open-webui/issues/19480), [#19488](https://github.com/open-webui/open-webui/pull/19488)
- 📝 MCP tool server configuration was corrected to properly handle the "Function Name Filter List" as both string and list types, preventing AttributeError when the field is empty and ensuring backward compatibility. [#19486](https://github.com/open-webui/open-webui/issues/19486), [Commit](https://github.com/open-webui/open-webui/commit/c5b73d71843edc024325d4a6e625ec939a747279), [Commit](https://github.com/open-webui/open-webui/commit/477097c2e42985c14892301d0127314629d07df1)
- 📎 Web page attachment failures causing TypeError on metadata checks were resolved by correcting async threadpool parameter passing in vector database operations. [#19493](https://github.com/open-webui/open-webui/issues/19493), [Commit](https://github.com/open-webui/open-webui/commit/4370dee79e19d77062c03fba81780cb3b779fca3)
- 💾 Model allowlist persistence in multi-worker deployments was fixed by implementing Redis-based shared state for the internal models dictionary, ensuring configuration changes are consistently visible across all worker processes. [#19395](https://github.com/open-webui/open-webui/issues/19395), [Commit](https://github.com/open-webui/open-webui/commit/b5e5617d7f7ad3e4eec9f15f4cc7f07cb5afc2fa)
- ⏳ Chat history infinite loading was prevented by enhancing message data structure to properly track parent message relationships, resolving issues where missing parentId fields caused perpetual loading states. [#19225](https://github.com/open-webui/open-webui/issues/19225), [Commit](https://github.com/open-webui/open-webui/commit/ff4b1b9862d15adfa15eac17d2ce066c3d8ae38f)
- 🩹 Database migration robustness was improved by automatically detecting and correcting missing primary key constraints on the user table, ensuring successful schema upgrades for databases with non-standard configurations. [#19487](https://github.com/open-webui/open-webui/discussions/19487), [Commit](https://github.com/open-webui/open-webui/commit/453ea9b9a167c0b03d86c46e6efd086bf10056ce)
- 🏷️ OAuth group assignment now updates correctly on first login when users transition from admin to user role, ensuring group memberships reflect immediately when group management is enabled. [#19475](https://github.com/open-webui/open-webui/issues/19475), [#19476](https://github.com/open-webui/open-webui/pull/19476)
- 💡 Knowledge base file tooltips now properly display the parent collection name when referencing files with the hash symbol, preventing confusion between identically-named files in different collections. [#19491](https://github.com/open-webui/open-webui/issues/19491), [Commit](https://github.com/open-webui/open-webui/commit/3fe5a47b0ff84ac97f8e4ff56a19fa2ec065bf66)
- 🔐 Knowledge base file access inconsistencies were resolved where authorized non-admin users received "Not found" or permission errors for certain files due to race conditions during upload causing mismatched collection_name values, with file access validation now properly checking against knowledge base file associations. [#18689](https://github.com/open-webui/open-webui/issues/18689), [#19523](https://github.com/open-webui/open-webui/pull/19523), [Commit](https://github.com/open-webui/open-webui/commit/e301d1962e45900ababd3eabb7e9a2ad275a5761)
- 📦 Knowledge API batch file addition endpoint was corrected to properly handle async operations, resolving 500 Internal Server Error responses when adding multiple files simultaneously. [#19538](https://github.com/open-webui/open-webui/issues/19538), [Commit](https://github.com/open-webui/open-webui/commit/28659f60d94feb4f6a99bb1a5b54d7f45e5ea10f)
- 🤖 Embedding model auto-update functionality was fixed to properly respect the "RAG_EMBEDDING_MODEL_AUTO_UPDATE" setting by correctly passing the flag to the model path resolver, ensuring models update as expected when the auto-update option is enabled. [#19687](https://github.com/open-webui/open-webui/pull/19687)
- 📉 API response payload sizes were dramatically reduced by removing base64-encoded profile images from most endpoints, eliminating multi-megabyte responses caused by high-resolution avatars and enabling better browser caching. [#19519](https://github.com/open-webui/open-webui/issues/19519), [Commit](https://github.com/open-webui/open-webui/commit/384753c4c17f62a68d38af4bbcf55a21ee08e0f2)
- 📞 Redundant API calls on the admin user overview page were eliminated by consolidating reactive statements, reducing four duplicate requests to a single efficient call and significantly improving page load performance. [#19509](https://github.com/open-webui/open-webui/issues/19509), [Commit](https://github.com/open-webui/open-webui/commit/9f89cc5e9f7e1c6c9e2bc91177e08df7c79f66f9)
- 🧹 Duplicate API calls on the workspace models page were eliminated by removing redundant model list fetching, reducing two identical requests to a single call and improving page responsiveness. [#19517](https://github.com/open-webui/open-webui/issues/19517), [Commit](https://github.com/open-webui/open-webui/commit/d1bbf6be7a4d1d53fa8ad46ca4f62fc4b2e6a8cb)
- 🔘 The model valves button was corrected to prevent unintended form submission by adding explicit button type attribute, ensuring it no longer triggers message sending when the input area contains text. [#19534](https://github.com/open-webui/open-webui/pull/19534)
- 🗑️ Ollama model deletion was fixed by correcting the request payload format and ensuring the model selector properly displays the placeholder option. [Commit](https://github.com/open-webui/open-webui/commit/0f3156651c64bc5af188a65fc2908bdcecf30c74)
- 🎨 Image generation in temporary chats was fixed by correctly handling local chat sessions that are not persisted to the database. [Commit](https://github.com/open-webui/open-webui/commit/a7c7993bbf3a21cb7ba416525b89233cf2ad877f)
- 🕵️‍♂️ Audit logging was fixed by correctly awaiting the async user authentication call, resolving failures where coroutine objects were passed instead of user data. [#19658](https://github.com/open-webui/open-webui/pull/19658), [Commit](https://github.com/open-webui/open-webui/commit/dba86bc)
- 🌙 Dark mode select dropdown styling was corrected to use proper background colors, fixing an issue where dropdown borders and hover states appeared white instead of matching the dark theme. [#19693](https://github.com/open-webui/open-webui/pull/19693), [#19442](https://github.com/open-webui/open-webui/issues/19442)
- 🔍 Milvus vector database query filtering was fixed by correcting string quote handling in filter expressions and using the proper parameter name for queries, resolving false "duplicate content detected" errors that prevented uploading multiple files to knowledge bases. [#19602](https://github.com/open-webui/open-webui/pull/19602), [#18119](https://github.com/open-webui/open-webui/issues/18119), [#16345](https://github.com/open-webui/open-webui/issues/16345), [#17088](https://github.com/open-webui/open-webui/issues/17088), [#18485](https://github.com/open-webui/open-webui/issues/18485)
- 🆙 Milvus multitenancy vector database was updated to use query_iterator() for improved robustness and consistency with the standard Milvus implementation, fixing the same false duplicate detection errors and improving handling of large result sets in multi-tenant deployments. [#19695](https://github.com/open-webui/open-webui/pull/19695)
### Changed
- ⚠️ **IMPORTANT for Multi-Instance Deployments** — This release includes database schema changes; multi-worker, multi-server, or load-balanced deployments must update all instances simultaneously rather than performing rolling updates, as running mixed versions will cause application failures due to schema incompatibility between old and new instances.
- 👮 Channel creation is now restricted to administrators only, with the channel add button hidden for regular users to maintain organizational control over communication channels. [Commit](https://github.com/open-webui/open-webui/commit/421aba7cd7cd708168b1f2565026c74525a67905)
- The active user count indicator was removed from the bottom-left user menu in the sidebar to streamline the interface. [Commit](https://github.com/open-webui/open-webui/commit/848f3fd4d86ca66656e0ff0335773945af8d7d8d)
- 🗂️ The user table was restructured with API keys migrated to a dedicated table supporting future multi-key functionality, OAuth data storage converted to a JSON structure enabling multiple identity providers per user account, and internal column types optimized from TEXT to JSON for the "info" and "settings" fields, with automatic migration preserving all existing data and associations. [#19573](https://github.com/open-webui/open-webui/pull/19573)
- 🔄 The knowledge base API was restructured to support the new file relationship model.
## [0.6.40] - 2025-11-25
### Fixed
- 🗄️ A critical PostgreSQL user listing performance issue was resolved by removing a redundant count operation that caused severe database slowdowns and potential timeouts when viewing user lists in admin panels.
## [0.6.39] - 2025-11-25
### Added
- 💬 A user list modal was added to channels, displaying all users with access and featuring search, sorting, and pagination capabilities. [Commit](https://github.com/open-webui/open-webui/commit/c0e120353824be00a2ef63cbde8be5d625bd6fd0)
- 💬 Channel navigation now displays the total number of users with access to the channel. [Commit](https://github.com/open-webui/open-webui/commit/3b5710d0cd445cf86423187f5ee7c40472a0df0b)
- 🔌 Tool servers and MCP connections now support function name filtering, allowing administrators to selectively enable or block specific functions using allow/block lists. [Commit](https://github.com/open-webui/open-webui/commit/743199f2d097ae1458381bce450d9025a0ab3f3d)
- ⚡ A toggle to disable parallel embedding processing was added via "ENABLE_ASYNC_EMBEDDING", allowing sequential processing for rate-limited or resource-constrained local embedding setups. [#19444](https://github.com/open-webui/open-webui/pull/19444)
- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
- 🌐 Localization improvements were made for German (de-DE) and Portuguese (Brazil) translations.
### Fixed
- 📝 Inline citations now render correctly within markdown lists and nested elements instead of displaying as "undefined" values. [#19452](https://github.com/open-webui/open-webui/issues/19452)
- 👥 Group member selection now works correctly without randomly selecting other users or causing the user list to jump around. [#19426](https://github.com/open-webui/open-webui/issues/19426)
- 👥 Admin panel user list now displays the correct total user count and properly paginates 30 items per page after fixing database query issues with group member joins. [#19429](https://github.com/open-webui/open-webui/issues/19429)
- 🔍 Knowledge base reindexing now works correctly after resolving async execution chain issues by implementing threadpool workers for embedding operations. [#19434](https://github.com/open-webui/open-webui/pull/19434)
- 🖼️ OpenAI image generation now works correctly after fixing a connection adapter error caused by incorrect URL formatting. [#19435](https://github.com/open-webui/open-webui/pull/19435)
### Changed
- 🔧 BREAKING: Docling configuration has been consolidated from individual environment variables into a single "DOCLING_PARAMS" JSON configuration and now supports API key authentication via "DOCLING_API_KEY", requiring users to migrate existing Docling settings to the new format. [#16841](https://github.com/open-webui/open-webui/issues/16841), [#19427](https://github.com/open-webui/open-webui/pull/19427)
- 🔧 The environment variable "REPLACE_IMAGE_URLS_IN_CHAT_RESPONSE" has been renamed to "ENABLE_CHAT_RESPONSE_BASE64_IMAGE_URL_CONVERSION" for naming consistency.
## [0.6.38] - 2025-11-24
### Fixed
- 🔍 Hybrid search now works reliably after recent changes.
- 🛠️ Tool server saving now handles errors gracefully, preventing failed saves from impacting the UI.
- 🔐 SSO/OIDC code fixed to improve login reliability and better handle edge cases.
## [0.6.37] - 2025-11-24
### Added
- 🔐 Granular sharing permissions are now available with two-tiered control separating group sharing from public sharing, allowing administrators to independently configure whether users can share workspace items with groups or make them publicly accessible, with separate permission toggles for models, knowledge bases, prompts, tools, and notes, configurable via "USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_SHARING", "USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING", and corresponding environment variables for other workspace item types, while groups can now be configured to opt-out of sharing via the "Allow Group Sharing" setting. [Commit](https://github.com/open-webui/open-webui/commit/7be750bcbb40da91912a0a66b7ab791effdcc3b6), [Commit](https://github.com/open-webui/open-webui/commit/f69e37a8507d6d57382d6670641b367f3127f90a)
- 🔐 Password policy enforcement is now available with configurable validation rules, allowing administrators to require specific password complexity requirements via "ENABLE_PASSWORD_VALIDATION" and "PASSWORD_VALIDATION_REGEX_PATTERN" environment variables, with default pattern requiring minimum 8 characters including uppercase, lowercase, digit, and special character. [#17794](https://github.com/open-webui/open-webui/pull/17794)
- 🔐 Granular import and export permissions are now available for workspace items, introducing six separate permission toggles for models, prompts, and tools that are disabled by default for enhanced security. [#19242](https://github.com/open-webui/open-webui/pull/19242)
- 👥 Default group assignment is now available for new users, allowing administrators to automatically assign newly registered users to a specified group for streamlined access control to models, prompts, and tools, particularly useful for organizations with group-based model access policies. [#19325](https://github.com/open-webui/open-webui/pull/19325), [#17842](https://github.com/open-webui/open-webui/issues/17842)
- 🔒 Password-based authentication can now be fully disabled via "ENABLE_PASSWORD_AUTH" environment variable, enforcing SSO-only authentication and preventing password login fallback when SSO is configured. [#19113](https://github.com/open-webui/open-webui/pull/19113)
- 🖼️ Large stream chunk handling was implemented to support models that generate images directly in their output responses, with configurable buffer size via "CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE" environment variable, resolving compatibility issues with models like Gemini 2.5 Flash Image. [#18884](https://github.com/open-webui/open-webui/pull/18884), [#17626](https://github.com/open-webui/open-webui/issues/17626)
- 🖼️ Streaming response middleware now handles images in delta updates with automatic base64 conversion, enabling proper display of images from models using the "choices[0].delta.images.image_url" format such as Gemini 2.5 Flash Image Preview on OpenRouter. [#19073](https://github.com/open-webui/open-webui/pull/19073), [#19019](https://github.com/open-webui/open-webui/issues/19019)
- 📈 Model list API performance was optimized by pre-fetching user group memberships and removing profile image URLs from response payloads, significantly reducing both database queries and payload size for instances with large model lists, with profile images now served dynamically via dedicated endpoints. [#19097](https://github.com/open-webui/open-webui/pull/19097), [#18950](https://github.com/open-webui/open-webui/issues/18950)
- ⏩ Batch file processing performance was improved by reducing database queries by 67% while ensuring data consistency between vector and relational databases. [#18953](https://github.com/open-webui/open-webui/pull/18953)
- 🚀 Chat import performance was dramatically improved by replacing individual per-chat API requests with a bulk import endpoint, reducing import time by up to 95% for large chat collections and providing user feedback via toast notifications displaying the number of successfully imported chats. [#17861](https://github.com/open-webui/open-webui/pull/17861)
- ⚡ Socket event broadcasting performance was optimized by implementing user-specific rooms, significantly reducing server overhead particularly for users with multiple concurrent sessions. [#18996](https://github.com/open-webui/open-webui/pull/18996)
- 🗄️ Weaviate is now supported as a vector database option, providing an additional choice for RAG document storage alongside existing ChromaDB, Milvus, Qdrant, and OpenSearch integrations. [#14747](https://github.com/open-webui/open-webui/pull/14747)
- 🗄️ PostgreSQL pgvector now supports HNSW index types and large dimensional embeddings exceeding 2000 dimensions through automatic halfvec type selection, with configurable index methods via "PGVECTOR_INDEX_METHOD", "PGVECTOR_HNSW_M", "PGVECTOR_HNSW_EF_CONSTRUCTION", and "PGVECTOR_IVFFLAT_LISTS" environment variables. [#19158](https://github.com/open-webui/open-webui/pull/19158), [#16890](https://github.com/open-webui/open-webui/issues/16890)
- 🔍 Azure AI Search is now supported as a web search provider, enabling integration with Azure's cognitive search services via "AZURE_AI_SEARCH_API_KEY", "AZURE_AI_SEARCH_ENDPOINT", and "AZURE_AI_SEARCH_INDEX_NAME" configuration. [#19104](https://github.com/open-webui/open-webui/pull/19104)
- ⚡ External embedding generation now processes API requests in parallel instead of sequential batches, reducing document processing time by 10-50x when using OpenAI, Azure OpenAI, or Ollama embedding providers, with large PDFs now processing in seconds instead of minutes. [#19296](https://github.com/open-webui/open-webui/pull/19296)
- 💨 Base64 image conversion is now available for markdown content in chat responses, automatically uploading embedded images exceeding 1KB and replacing them with file URLs to reduce payload size and resource consumption, configurable via "REPLACE_IMAGE_URLS_IN_CHAT_RESPONSE" environment variable. [#19076](https://github.com/open-webui/open-webui/pull/19076)
- 🎨 OpenAI image generation now supports additional API parameters including quality settings for GPT Image 1, configurable via "IMAGES_OPENAI_API_PARAMS" environment variable or through the admin interface, enabling cost-effective image generation with low, medium, or high quality options. [#19228](https://github.com/open-webui/open-webui/issues/19228)
- 🖼️ Image editing can now be independently enabled or disabled via admin settings, allowing administrators to control whether sequential image prompts trigger image editing or new image generation, configurable via "ENABLE_IMAGE_EDIT" environment variable. [#19284](https://github.com/open-webui/open-webui/issues/19284)
- 🔐 SSRF protection was implemented with a configurable URL blocklist that prevents access to cloud metadata endpoints and private networks, with default protections for AWS, Google Cloud, Azure, and Alibaba Cloud metadata services, customizable via "WEB_FETCH_FILTER_LIST" environment variable. [#19201](https://github.com/open-webui/open-webui/pull/19201)
- ⚡ Workspace models page now supports server-side pagination dramatically improving load times and usability for instances with large numbers of workspace models.
- 🔍 Hybrid search now indexes file metadata including filenames, titles, headings, sources, and snippets alongside document content, enabling keyword queries to surface documents where search terms appear only in metadata, configurable via "ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS" environment variable. [#19095](https://github.com/open-webui/open-webui/pull/19095)
- 📂 Knowledge base upload page now supports folder drag-and-drop with recursive directory handling, enabling batch uploads of entire directory structures instead of requiring individual file selection. [#19320](https://github.com/open-webui/open-webui/pull/19320)
- 🤖 Model cloning is now available in admin settings, allowing administrators to quickly create workspace models based on existing base models through a "Clone" option in the model dropdown menu. [#17937](https://github.com/open-webui/open-webui/pull/17937)
- 🎨 UI scale adjustment is now available in interface settings, allowing users to increase the size of the entire interface from 1.0x to 1.5x for improved accessibility and readability, particularly beneficial for users with visual impairments. [#19186](https://github.com/open-webui/open-webui/pull/19186)
- 📌 Default pinned models can now be configured by administrators for all new users, mirroring the behavior of default models where admin-configured defaults apply only to users who haven't customized their pinned models, configurable via "DEFAULT_PINNED_MODELS" environment variable. [#19273](https://github.com/open-webui/open-webui/pull/19273)
- 🎙️ Text-to-Speech and Speech-to-Text services now receive user information headers when "ENABLE_FORWARD_USER_INFO_HEADERS" is enabled, allowing external TTS and STT providers to implement user-specific personalization, rate limiting, and usage tracking. [#19323](https://github.com/open-webui/open-webui/pull/19323), [#19312](https://github.com/open-webui/open-webui/issues/19312)
- 🎙️ Voice mode now supports custom system prompts via "VOICE_MODE_PROMPT_TEMPLATE" configuration, allowing administrators to control response style and behavior for voice interactions. [#18607](https://github.com/open-webui/open-webui/pull/18607)
- 🔧 WebSocket and Redis configuration options are now available including debug logging controls, custom ping timeout and interval settings, and arbitrary Redis connection options via "WEBSOCKET_SERVER_LOGGING", "WEBSOCKET_SERVER_ENGINEIO_LOGGING", "WEBSOCKET_SERVER_PING_TIMEOUT", "WEBSOCKET_SERVER_PING_INTERVAL", and "WEBSOCKET_REDIS_OPTIONS" environment variables. [#19091](https://github.com/open-webui/open-webui/pull/19091)
- 🔧 MCP OAuth dynamic client registration now automatically detects and uses the appropriate token endpoint authentication method from server-supported options, enabling compatibility with OAuth servers that only support "client_secret_basic" instead of "client_secret_post". [#19193](https://github.com/open-webui/open-webui/issues/19193)
- 🔧 Custom headers can now be configured for remote MCP and OpenAPI tool server connections, enabling integration with services that require additional authentication headers. [#18918](https://github.com/open-webui/open-webui/issues/18918)
- 🔍 Perplexity Search now supports custom API endpoints via "PERPLEXITY_SEARCH_API_URL" configuration and automatically forwards user information headers to enable personalized search experiences. [#19147](https://github.com/open-webui/open-webui/pull/19147)
- 🔍 User information headers can now be optionally forwarded to external web search engines when "ENABLE_FORWARD_USER_INFO_HEADERS" is enabled. [#19043](https://github.com/open-webui/open-webui/pull/19043)
- 📊 Daily active user metric is now available for monitoring, tracking unique users active since midnight UTC via the "webui.users.active.today" Prometheus gauge. [#19236](https://github.com/open-webui/open-webui/pull/19236), [#19234](https://github.com/open-webui/open-webui/issues/19234)
- 📊 Audit log file path is now configurable via "AUDIT_LOGS_FILE_PATH" environment variable, enabling storage in separate volumes or custom locations. [#19173](https://github.com/open-webui/open-webui/pull/19173)
- 🎨 Sidebar collapse states for model lists and group information are now persistent across page refreshes, remembering user preferences through browser-based storage. [#19159](https://github.com/open-webui/open-webui/issues/19159)
- 🎨 Background image display was enhanced with semi-transparent overlays for navbar and sidebar, creating a seamless and visually cohesive design across the entire interface. [#19157](https://github.com/open-webui/open-webui/issues/19157)
- 📋 Tables in chat messages now include a copy button that appears on hover, enabling quick copying of table content alongside the existing CSV export functionality. [#19162](https://github.com/open-webui/open-webui/issues/19162)
- 📝 Notes can now be created directly via the "/notes/new" URL endpoint with optional title and content query parameters, enabling faster note creation through bookmarks and shortcuts. [#19195](https://github.com/open-webui/open-webui/issues/19195)
- 🏷️ Tag suggestions are now context-aware, displaying only relevant tags when creating or editing models versus chat conversations, preventing confusion between model and chat tags. [#19135](https://github.com/open-webui/open-webui/issues/19135)
- ✍️ Prompt autocompletion is now available independently of the rich text input setting, improving accessibility to the feature. [#19150](https://github.com/open-webui/open-webui/issues/19150)
- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
- 🌐 Translations for Simplified Chinese, Traditional Chinese, Portuguese (Brazil), Catalan, Spanish (Spain), Finnish, Irish, Farsi, Swedish, Danish, German, Korean, and Thai were improved and expanded.
### Fixed
- 🤖 Model update functionality now works correctly, resolving a database parameter binding error that prevented saving changes to model configurations via the Save & Update button. [#19335](https://github.com/open-webui/open-webui/issues/19335)
- 🖼️ Multiple input images for image editing and generation are now correctly passed as an array using the "image[]" parameter syntax, enabling proper multi-image reference functionality with models like GPT Image 1. [#19339](https://github.com/open-webui/open-webui/issues/19339)
- 📱 PWA installations on iOS now properly refresh after server container restarts, resolving freezing issues by automatically unregistering service workers when version or deployment changes are detected. [#19316](https://github.com/open-webui/open-webui/pull/19316)
- 🗄️ S3 Vectors collection detection now correctly handles buckets with more than 2000 indexes by using direct index lookup instead of paginated list scanning, improving performance by approximately 8x and enabling RAG queries to work reliably at scale. [#19238](https://github.com/open-webui/open-webui/pull/19238), [#19233](https://github.com/open-webui/open-webui/issues/19233)
- 📈 Feedback retrieval performance was optimized by eliminating N+1 query patterns through database joins, adding server-side pagination and sorting, significantly reducing database load for instances with large feedback datasets. [#17976](https://github.com/open-webui/open-webui/pull/17976)
- 🔍 Chat search now works correctly with PostgreSQL when chat data contains null bytes, with comprehensive sanitization preventing null bytes during data writes, cleaning existing data on read, and stripping null bytes during search queries to ensure reliable search functionality. [#15616](https://github.com/open-webui/open-webui/issues/15616)
- 🔍 Hybrid search with reranking now correctly handles attribute validation, preventing errors when collection results lack expected structure. [#19025](https://github.com/open-webui/open-webui/pull/19025), [#17046](https://github.com/open-webui/open-webui/issues/17046)
- 🔎 Reranking functionality now works correctly after recent refactoring, resolving crashes caused by incorrect function argument handling. [#19270](https://github.com/open-webui/open-webui/pull/19270)
- 🤖 Azure OpenAI models now support the "reasoning_effort" parameter, enabling proper configuration of reasoning capabilities for models like GPT-5.1 which default to no reasoning without this setting. [#19290](https://github.com/open-webui/open-webui/issues/19290)
- 🤖 Models with very long IDs can now be deleted correctly, resolving URL length limitations that previously prevented management operations on such models. [#18230](https://github.com/open-webui/open-webui/pull/18230)
- 🤖 Model-level streaming settings now correctly apply to API requests, ensuring "Stream Chat Response" toggle properly controls the streaming parameter. [#19154](https://github.com/open-webui/open-webui/issues/19154)
- 🖼️ Image editing configuration now correctly preserves independent OpenAI API endpoints and keys, preventing them from being overwritten by image generation settings. [#19003](https://github.com/open-webui/open-webui/issues/19003)
- 🎨 Gemini image edit settings now display correctly in the admin panel, fixing an incorrect configuration key reference that prevented proper rendering of edit options. [#19200](https://github.com/open-webui/open-webui/pull/19200)
- 🖌️ Image generation settings menu now loads correctly, resolving validation errors with AUTOMATIC1111 API authentication parameters. [#19187](https://github.com/open-webui/open-webui/issues/19187), [#19246](https://github.com/open-webui/open-webui/issues/19246)
- 📅 Date formatting in chat search and admin user chat search now correctly respects the "DEFAULT_LOCALE" environment variable, displaying dates according to the configured locale instead of always using MM/DD/YYYY format. [#19305](https://github.com/open-webui/open-webui/pull/19305), [#19020](https://github.com/open-webui/open-webui/issues/19020)
- 📝 RAG template query placeholder escaping logic was corrected to prevent unintended replacements of context values when query placeholders appear in retrieved content. [#19102](https://github.com/open-webui/open-webui/pull/19102), [#19101](https://github.com/open-webui/open-webui/issues/19101)
- 📄 RAG template prompt duplication was eliminated by removing redundant user query section from the default template. [#19099](https://github.com/open-webui/open-webui/pull/19099), [#19098](https://github.com/open-webui/open-webui/issues/19098)
- 📋 MinerU local mode configuration no longer incorrectly requires an API key, allowing proper use of local content extraction without external API credentials. [#19258](https://github.com/open-webui/open-webui/issues/19258)
- 📊 Excel file uploads now work correctly with the addition of the missing msoffcrypto-tool dependency, resolving import errors introduced by the unstructured package upgrade. [#19153](https://github.com/open-webui/open-webui/issues/19153)
- 📑 Docling parameters now properly handle JSON serialization, preventing exceptions and ensuring configuration changes are saved correctly. [#19072](https://github.com/open-webui/open-webui/pull/19072)
- 🛠️ UserValves configuration now correctly isolates settings per tool, preventing configuration contamination when multiple tools with UserValves are used simultaneously. [#19185](https://github.com/open-webui/open-webui/pull/19185), [#15569](https://github.com/open-webui/open-webui/issues/15569)
- 🔧 Tool selection prompt now correctly handles user messages without duplication, removing redundant query prefixes and improving prompt clarity. [#19122](https://github.com/open-webui/open-webui/pull/19122), [#19121](https://github.com/open-webui/open-webui/issues/19121)
- 📝 Notes chat feature now correctly submits messages to the completions endpoint, resolving errors that prevented AI model interactions. [#19079](https://github.com/open-webui/open-webui/pull/19079)
- 📝 Note PDF downloads now sanitize HTML content using DOMPurify before rendering, preventing potential DOM-based XSS attacks from malicious content in notes. [Commit](https://github.com/open-webui/open-webui/commit/03cc6ce8eb5c055115406e2304fbf7e3338b8dce)
- 📁 Archived chats now have their folder associations automatically removed to prevent unintended deletion when their previous folder is deleted. [#14578](https://github.com/open-webui/open-webui/issues/14578)
- 🔐 ElevenLabs API key is now properly obfuscated in the admin settings page, preventing plain text exposure of sensitive credentials. [#19262](https://github.com/open-webui/open-webui/pull/19262), [#19260](https://github.com/open-webui/open-webui/issues/19260)
- 🔧 MCP OAuth server metadata discovery now follows the correct specification order, ensuring proper authentication flow compliance. [#19244](https://github.com/open-webui/open-webui/pull/19244)
- 🔒 API key endpoint restrictions now properly enforce access controls for all endpoints including SCIM, preventing unintended access when "API_KEY_ALLOWED_ENDPOINTS" is configured. [#19168](https://github.com/open-webui/open-webui/issues/19168)
- 🔓 OAuth role claim parsing now supports both flat and nested claim structures, enabling compatibility with OAuth providers that deliver claims as direct properties on the user object rather than nested structures. [#19286](https://github.com/open-webui/open-webui/pull/19286)
- 🔑 OAuth MCP server verification now correctly extracts the access token value for authorization headers instead of sending the entire token dictionary. [#19149](https://github.com/open-webui/open-webui/pull/19149), [#19148](https://github.com/open-webui/open-webui/issues/19148)
- ⚙️ OAuth dynamic client registration now correctly converts empty strings to None for optional fields, preventing validation failures in MCP package integration. [#19144](https://github.com/open-webui/open-webui/pull/19144), [#19129](https://github.com/open-webui/open-webui/issues/19129)
- 🔐 OIDC authentication now correctly passes client credentials in access token requests, ensuring compatibility with providers that require these parameters per RFC 6749. [#19132](https://github.com/open-webui/open-webui/pull/19132), [#19131](https://github.com/open-webui/open-webui/issues/19131)
- 🔗 OAuth client creation now respects configured token endpoint authentication methods instead of defaulting to basic authentication, preventing failures with servers that don't support basic auth. [#19165](https://github.com/open-webui/open-webui/pull/19165)
- 📋 Text copied from chat responses in Chrome now pastes without background formatting, improving readability when pasting into word processors. [#19083](https://github.com/open-webui/open-webui/issues/19083)
### Changed
- 🗄️ Group membership data storage was refactored from JSON arrays to a dedicated relational database table, significantly improving query performance and scalability for instances with large numbers of users and groups, while API responses now return member counts instead of full user ID arrays. [#19239](https://github.com/open-webui/open-webui/pull/19239)
- 📄 MinerU parameter handling was refactored to pass parameters directly to the API, improving flexibility and fixing VLM backend configuration. [#19105](https://github.com/open-webui/open-webui/pull/19105), [#18446](https://github.com/open-webui/open-webui/discussions/18446)
- 🔐 API key creation is now controlled by granular user and group permissions, with the "ENABLE_API_KEY" environment variable renamed to "ENABLE_API_KEYS" and disabled by default, requiring explicit configuration at both the global and user permission levels, while related environment variables "ENABLE_API_KEY_ENDPOINT_RESTRICTIONS" and "API_KEY_ALLOWED_ENDPOINTS" were renamed to "ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS" and "API_KEYS_ALLOWED_ENDPOINTS" respectively. [#18336](https://github.com/open-webui/open-webui/pull/18336)
## [0.6.36] - 2025-11-07
### Added
- 🔐 OAuth group parsing now supports configurable separators via the "OAUTH_GROUPS_SEPARATOR" environment variable, enabling proper handling of semicolon-separated group claims from providers like CILogon. [#18987](https://github.com/open-webui/open-webui/pull/18987), [#18979](https://github.com/open-webui/open-webui/issues/18979)
### Fixed
- 🛠️ Tool calling functionality is restored by correcting asynchronous function handling in tool parameter updates. [#18981](https://github.com/open-webui/open-webui/issues/18981)
- 🖼️ The ComfyUI image edit workflow editor modal now opens correctly when clicking the Edit button. [#18978](https://github.com/open-webui/open-webui/issues/18978)
- 🔥 Firecrawl import errors are resolved by implementing lazy loading and using the correct class name. [#18973](https://github.com/open-webui/open-webui/issues/18973)
- 🔌 Socket.IO CORS warning is resolved by properly configuring CORS origins for Socket.IO connections. [Commit](https://github.com/open-webui/open-webui/commit/639d26252e528c9c37a5f553b11eb94376d8792d)
## [0.6.35] - 2025-11-06
### Added
- 🖼️ Image generation system received a comprehensive overhaul with major new capabilities including full image editing support allowing users to modify existing images using text prompts with OpenAI, Gemini, or ComfyUI engines, adding Gemini 2.5 Flash Image (Nano Banana) support, Qwen Image Edit integration, resolution of base64-encoded image display issues, streamlined AUTOMATIC1111 configuration by consolidating parameters into a flexible JSON parameters field, and enhanced UI with a code editor modal for ComfyUI workflow management. [#17434](https://github.com/open-webui/open-webui/pull/17434), [#16976](https://github.com/open-webui/open-webui/issues/16976), [Commit](https://github.com/open-webui/open-webui/commit/8e5690aab4f632a57027e2acf880b8f89a8717c0), [Commit](https://github.com/open-webui/open-webui/commit/72f8539fd2e679fec0762945f22f4b8a6920afa0), [Commit](https://github.com/open-webui/open-webui/commit/8d34fcb586eeee1fac6da2f991518b8a68b00b72), [Commit](https://github.com/open-webui/open-webui/commit/72900cd686de1fa6be84b5a8a2fc857cff7b91b8)
- 🔒 CORS origin validation was added to WebSocket connections as a defense-in-depth security measure against cross-site WebSocket hijacking attacks. [#18411](https://github.com/open-webui/open-webui/pull/18411), [#18410](https://github.com/open-webui/open-webui/issues/18410)
- 🔄 Automatic page refresh now occurs when a version update is detected via WebSocket connection, ensuring users always run the latest version without cache issues. [Commit](https://github.com/open-webui/open-webui/commit/989f192c92d2fe55daa31336e7971e21798b96ae)
- 🐍 Experimental initial preparations for Python 3.13 compatibility by updating dependencies with security enhancements and cryptographic improvements. [#18430](https://github.com/open-webui/open-webui/pull/18430), [#18424](https://github.com/open-webui/open-webui/pull/18424)
- ⚡ Image compression now preserves the original image format instead of converting to PNG, significantly reducing file sizes and improving chat loading performance. [#18506](https://github.com/open-webui/open-webui/pull/18506)
- 🎤 Mistral Voxtral model support was added for text-to-speech, including voxtral-small and voxtral-mini models with both transcription and chat completion API support. [#18934](https://github.com/open-webui/open-webui/pull/18934)
- 🔊 Text-to-speech now uses a global audio queue system to prevent overlapping playback, ensuring only one TTS instance plays at a time with proper stop/start controls and automatic cleanup when switching between messages. [#16152](https://github.com/open-webui/open-webui/pull/16152), [#18744](https://github.com/open-webui/open-webui/pull/18744), [#16150](https://github.com/open-webui/open-webui/issues/16150)
- 🔊 ELEVENLABS_API_BASE_URL environment variable now allows configuration of custom ElevenLabs API endpoints, enabling support for EU residency API requirements. [#18402](https://github.com/open-webui/open-webui/issues/18402)
- 🔐 OAUTH_ROLES_SEPARATOR environment variable now allows custom role separators for OAuth roles that contain commas, useful for roles specified in LDAP syntax. [#18572](https://github.com/open-webui/open-webui/pull/18572)
- 📄 External document loaders can now optionally forward user information headers when ENABLE_FORWARD_USER_INFO_HEADERS is enabled, enabling cost tracking, audit logs, and usage analytics for external services. [#18731](https://github.com/open-webui/open-webui/pull/18731)
- 📄 MISTRAL_OCR_API_BASE_URL environment variable now allows configuration of custom Mistral OCR API endpoints for flexible deployment options. [Commit](https://github.com/open-webui/open-webui/commit/415b93c7c35c2e2db4425e6da1b88b3750f496b0)
- ⌨️ Keyboard shortcut hints are now displayed on sidebar buttons with a refactored shortcuts modal that accurately reflects all available hotkeys across different keyboard layouts. [#18473](https://github.com/open-webui/open-webui/pull/18473)
- 🛠️ Tooltips now display tool descriptions when hovering over tool names on the model edit page, improving usability and providing immediate context. [#18707](https://github.com/open-webui/open-webui/pull/18707)
- 📝 "Create a new note" from the search modal now immediately creates a new private note and opens it in the editor instead of navigating to the generic notes page. [#18255](https://github.com/open-webui/open-webui/pull/18255)
- 🖨️ Code block output now preserves whitespace formatting with monospace font to accurately reflect terminal behavior. [#18352](https://github.com/open-webui/open-webui/pull/18352)
- ✏️ Edit button is now available in the three-dot menu of models in the workspace section for quick access to model editing, with the menu reorganized for better user experience and Edit, Clone, Copy Link, and Share options logically grouped. [#18574](https://github.com/open-webui/open-webui/pull/18574)
- 📌 Sidebar models section is now collapsible, allowing users to expand and collapse the pinned models list for better sidebar organization. [Commit](https://github.com/open-webui/open-webui/commit/82c08a3b5d189f81c96b6548cc872198771015b0)
- 🌙 Dark mode styles for select elements were added using Tailwind CSS classes, improving consistency across the interface. [#18636](https://github.com/open-webui/open-webui/pull/18636)
- 🔄 Various improvements were implemented across the frontend and backend to enhance performance, stability, and security.
- 🌐 Translations for Portuguese (Brazil), Greek, German, Traditional Chinese, Simplified Chinese, Spanish, Georgian, Danish, and Estonian were enhanced and expanded.
### Fixed
- 🔒 Server-Sent Event (SSE) code injection vulnerability in Direct Connections is resolved by blocking event emission from untrusted external model servers; event emitters from direct connected model servers are no longer supported, preventing arbitrary JavaScript execution in user browsers. [Commit](https://github.com/open-webui/open-webui/commit/8af6a4cf21b756a66cd58378a01c60f74c39b7ca)
- 🛡️ DOM XSS vulnerability in "Insert Prompt as Rich Text" is resolved by sanitizing HTML content with DOMPurify before rendering. [Commit](https://github.com/open-webui/open-webui/commit/eb9c4c0e358c274aea35f21c2856c0a20051e5f1)
- ⚙️ MCP server cancellation scope corruption is prevented by reversing disconnection order to follow LIFO and properly handling exceptions, resolving 100% CPU usage when resuming chats with expired tokens or using multiple streamable MCP servers. [#18537](https://github.com/open-webui/open-webui/pull/18537)
- 🔧 UI freeze when querying models with knowledge bases containing inconsistent distance metrics is resolved by properly initializing the distances array in citations. [#18585](https://github.com/open-webui/open-webui/pull/18585)
- 🤖 Duplicate model IDs from multiple OpenAI endpoints are now automatically deduplicated server-side, preventing frontend crashes for users with unified gateway proxies that aggregate multiple providers. [Commit](https://github.com/open-webui/open-webui/commit/fdf7ca11d4f3cc8fe63e81c98dc0d1e48e52ba36)
- 🔐 Login failures with passwords longer than 72 bytes are resolved by safely truncating oversized passwords for bcrypt compatibility. [#18157](https://github.com/open-webui/open-webui/issues/18157)
- 🔐 OAuth 2.1 MCP tool connections now automatically re-register clients when stored client IDs become stale, preventing unauthorized_client errors after editing tool endpoints and providing detailed error messages for callback failures. [#18415](https://github.com/open-webui/open-webui/pull/18415), [#18309](https://github.com/open-webui/open-webui/issues/18309)
- 🔓 OAuth 2.1 discovery, metadata fetching, and dynamic client registration now correctly use HTTP proxy environment variables when trust_env is enabled. [Commit](https://github.com/open-webui/open-webui/commit/bafeb76c411483bd6b135f0edbcdce048120f264)
- 🔌 MCP server connection failures now display clear error messages in the chat interface instead of silently failing. [#18892](https://github.com/open-webui/open-webui/pull/18892), [#18889](https://github.com/open-webui/open-webui/issues/18889)
- 💬 Chat titles are now properly generated even when title auto-generation is disabled in interface settings, fixing an issue where chats would remain labeled as "New chat". [#18761](https://github.com/open-webui/open-webui/pull/18761), [#18717](https://github.com/open-webui/open-webui/issues/18717), [#6478](https://github.com/open-webui/open-webui/issues/6478)
- 🔍 Chat query errors are prevented by properly validating and handling the "order_by" parameter to ensure requested columns exist. [#18400](https://github.com/open-webui/open-webui/pull/18400), [#18452](https://github.com/open-webui/open-webui/pull/18452)
- 🔧 Root-level max_tokens parameter is no longer dropped when proxying to Ollama, properly converting to num_predict to limit output token length as intended. [#18618](https://github.com/open-webui/open-webui/issues/18618)
- 🔑 Self-hosted Marker instances can now be used without requiring an API key, while keeping it optional for datalab Marker service users. [#18617](https://github.com/open-webui/open-webui/issues/18617)
- 🔧 OpenAPI specification endpoint conflict between "/api/v1/models" and "/api/v1/models/" is resolved by changing the models router endpoint to "/list", preventing duplicate operationId errors when generating TypeScript API clients. [#18758](https://github.com/open-webui/open-webui/issues/18758)
- 🏷️ Model tags are now de-duplicated case-insensitively in both the model selector and workspace models page, preventing duplicate entries with different capitalization from appearing in filter dropdowns. [#18716](https://github.com/open-webui/open-webui/pull/18716), [#18711](https://github.com/open-webui/open-webui/issues/18711)
- 📄 Docling RAG parameter configuration is now correctly saved in the admin UI by fixing the typo in the "DOCLING_PARAMS" parameter name. [#18390](https://github.com/open-webui/open-webui/pull/18390)
- 📃 Tika document processing now automatically detects content types instead of relying on potentially incorrect browser-provided mime-types, improving file handling accuracy for formats like RTF. [#18765](https://github.com/open-webui/open-webui/pull/18765), [#18683](https://github.com/open-webui/open-webui/issues/18683)
- 🖼️ Image and video uploads to knowledge bases now display proper error messages instead of showing an infinite spinner when the content extraction engine does not support these file types. [#18514](https://github.com/open-webui/open-webui/issues/18514)
- 📝 Notes PDF export now properly detects and applies dark mode styling consistently across both the notes list and individual note pages, with a shared utility function to eliminate code duplication. [#18526](https://github.com/open-webui/open-webui/issues/18526)
- 💭 Details tags for reasoning content are now correctly identified and rendered even when the same tag is present in user messages. [#18840](https://github.com/open-webui/open-webui/pull/18840), [#18294](https://github.com/open-webui/open-webui/issues/18294)
- 📊 Mermaid and Vega rendering errors now display inline with the code instead of showing repetitive toast notifications, improving user experience when models generate invalid diagram syntax. [Commit](https://github.com/open-webui/open-webui/commit/fdc0f04a8b7dd0bc9f9dc0e7e30854f7a0eea3e9)
- 📈 Mermaid diagram rendering errors no longer cause UI unavailability or display error messages below the input box. [#18493](https://github.com/open-webui/open-webui/pull/18493), [#18340](https://github.com/open-webui/open-webui/issues/18340)
- 🔗 Web search SSL verification is now asynchronous, preventing the website from hanging during web search operations. [#18714](https://github.com/open-webui/open-webui/pull/18714), [#18699](https://github.com/open-webui/open-webui/issues/18699)
- 🌍 Web search results now correctly use HTTP proxy environment variables when WEB_SEARCH_TRUST_ENV is enabled. [#18667](https://github.com/open-webui/open-webui/pull/18667), [#7008](https://github.com/open-webui/open-webui/discussions/7008)
- 🔍 Google Programmable Search Engine now properly includes referer headers, enabling API keys with HTTP referrer restrictions configured in Google Cloud Console. [#18871](https://github.com/open-webui/open-webui/pull/18871), [#18870](https://github.com/open-webui/open-webui/issues/18870)
- ⚡ YouTube video transcript fetching now works correctly when using a proxy connection. [#18419](https://github.com/open-webui/open-webui/pull/18419)
- 🎙️ Speech-to-text transcription no longer deletes or replaces existing text in the prompt input field, properly preserving any previously entered content. [#18540](https://github.com/open-webui/open-webui/issues/18540)
- 🎙️ The "Instant Auto-Send After Voice Transcription" setting now functions correctly and automatically sends transcribed text when enabled. [#18466](https://github.com/open-webui/open-webui/issues/18466)
- ⚙️ Chat settings now load properly when reopening a tab or starting a new session by initializing defaults when sessionStorage is empty. [#18438](https://github.com/open-webui/open-webui/pull/18438)
- 🔎 Folder tag search in the sidebar now correctly handles folder names with multiple spaces by replacing all spaces with underscores. [Commit](https://github.com/open-webui/open-webui/commit/a8fe979af68e47e4e4bb3eb76e48d93d60cd2a45)
- 🛠️ Functions page now updates immediately after deleting a function, removing the need for a manual page reload. [#18912](https://github.com/open-webui/open-webui/pull/18912), [#18908](https://github.com/open-webui/open-webui/issues/18908)
- 🛠️ Native tool calling now properly supports sequential tool calls with shared context, allowing tools to access images and data from previous tool executions in the same conversation. [#18664](https://github.com/open-webui/open-webui/pull/18664)
- 🎯 Globally enabled actions in the model editor now correctly apply as global instead of being treated as disabled. [#18577](https://github.com/open-webui/open-webui/pull/18577)
- 📋 Clipboard images pasted via the "{{CLIPBOARD}}" prompt variable are now correctly converted to base64 format before being sent to the backend, resolving base64 encoding errors. [#18432](https://github.com/open-webui/open-webui/pull/18432), [#18425](https://github.com/open-webui/open-webui/issues/18425)
- 📋 File list is now cleared when switching to models that do not support file uploads, preventing files from being sent to incompatible models. [#18496](https://github.com/open-webui/open-webui/pull/18496)
- 📂 Move menu no longer displays when folders are empty. [#18484](https://github.com/open-webui/open-webui/pull/18484)
- 📁 Folder and channel creation now validates that names are not empty, preventing creation of folders or channels with no name and showing an error toast if attempted. [#18564](https://github.com/open-webui/open-webui/pull/18564)
- 🖊️ Rich text input no longer removes text between equals signs when pasting code with comparison operators. [#18551](https://github.com/open-webui/open-webui/issues/18551)
- ⌨️ Keyboard shortcuts now display the correct keys for international and non-QWERTY keyboard layouts by detecting the user's layout using the Keyboard API. [#18533](https://github.com/open-webui/open-webui/pull/18533)
- 🌐 "Attach Webpage" button now displays with correct disabled styling when a model does not support file uploads. [#18483](https://github.com/open-webui/open-webui/pull/18483)
- 🎚️ Divider no longer displays in the integrations menu when no integrations are enabled. [#18487](https://github.com/open-webui/open-webui/pull/18487)
- 📱 Chat controls button is now properly hidden on mobile for users without admin or explicit chat control permissions. [#18641](https://github.com/open-webui/open-webui/pull/18641)
- 📍 User menu, download submenu, and move submenu are now repositioned to prevent overlap with the Chat Controls sidebar when it is open. [Commit](https://github.com/open-webui/open-webui/commit/414ab51cb6df1ab0d6c85ac6c1f2c5c9a5f8e2aa)
- 🎯 Artifacts button no longer appears in the chat menu when there are no artifacts to display. [Commit](https://github.com/open-webui/open-webui/commit/ed6449d35f84f68dc75ee5c6b3f4748a3fda0096)
- 🎨 Artifacts view now automatically displays when opening an existing conversation containing artifacts, improving user experience. [#18215](https://github.com/open-webui/open-webui/pull/18215)
- 🖌️ Formatting toolbar is no longer hidden under images or code blocks in chat and now displays correctly above all message content.
- 🎨 Layout shift near system instructions is prevented by properly rendering the chat component when system prompts are empty. [#18594](https://github.com/open-webui/open-webui/pull/18594)
- 📐 Modal layout shift caused by scrollbar appearance is prevented by adding a stable scrollbar gutter. [#18591](https://github.com/open-webui/open-webui/pull/18591)
- ✨ Spacing between icon and label in the user menu dropdown items is now consistent. [#18595](https://github.com/open-webui/open-webui/pull/18595)
- 💬 Duplicate prompt suggestions no longer cause the webpage to freeze or throw JavaScript errors by implementing proper key management with composite keys. [#18841](https://github.com/open-webui/open-webui/pull/18841), [#18566](https://github.com/open-webui/open-webui/issues/18566)
- 🔍 Chat preview loading in the search modal now works correctly for all search results by fixing an index boundary check that previously caused out-of-bounds errors. [#18911](https://github.com/open-webui/open-webui/pull/18911)
- ♿ Screen reader support was enhanced by wrapping messages in semantic elements with descriptive aria-labels, adding "Assistant is typing" and "Response complete" announcements for improved accessibility. [#18735](https://github.com/open-webui/open-webui/pull/18735)
- 🔒 Incorrect await call in the OAuth 2.1 flow is removed, eliminating a logged exception during authentication. [#18236](https://github.com/open-webui/open-webui/pull/18236)
- 🛡️ Duplicate crossorigin attribute in the manifest file was removed. [#18413](https://github.com/open-webui/open-webui/pull/18413)
### Changed
- 🔄 Firecrawl integration was refactored to use the official Firecrawl SDK instead of direct HTTP requests and langchain_community FireCrawlLoader, improving reliability and performance with batch scraping support and enhanced error handling. [#18635](https://github.com/open-webui/open-webui/pull/18635)
- 📄 MinerU content extraction engine now only supports PDF files following the upstream removal of LibreOffice document conversion in version 2.0.0; users needing to process office documents should convert them to PDF format first. [#18448](https://github.com/open-webui/open-webui/issues/18448)
## [0.6.34] - 2025-10-16
### Added

View file

@ -17,7 +17,7 @@ Passionate about open-source AI? [Join our team →](https://careers.openwebui.c
![Open WebUI Demo](./demo.gif)
> [!TIP]
> **Looking for an [Enterprise Plan](https://docs.openwebui.com/enterprise)?** **[Speak with Our Sales Team Today!](https://docs.openwebui.com/enterprise)**
> **Looking for an [Enterprise Plan](https://docs.openwebui.com/enterprise)?** **[Speak with Our Sales Team Today!](mailto:sales@openwebui.com)**
>
> Get **enhanced capabilities**, including **custom theming and branding**, **Service Level Agreement (SLA) support**, **Long-Term Support (LTS) versions**, and **more!**
@ -31,44 +31,32 @@ For more information, be sure to check out our [Open WebUI Documentation](https:
- 🛡️ **Granular Permissions and User Groups**: By allowing administrators to create detailed user roles and permissions, we ensure a secure user environment. This granularity not only enhances security but also allows for customized user experiences, fostering a sense of ownership and responsibility amongst users.
- 🔄 **SCIM 2.0 Support**: Enterprise-grade user and group provisioning through SCIM 2.0 protocol, enabling seamless integration with identity providers like Okta, Azure AD, and Google Workspace for automated user lifecycle management.
- 📱 **Responsive Design**: Enjoy a seamless experience across Desktop PC, Laptop, and Mobile devices.
- 📱 **Progressive Web App (PWA) for Mobile**: Enjoy a native app-like experience on your mobile device with our PWA, providing offline access on localhost and a seamless user interface.
- ✒️🔢 **Full Markdown and LaTeX Support**: Elevate your LLM experience with comprehensive Markdown and LaTeX capabilities for enriched interaction.
- 🎤📹 **Hands-Free Voice/Video Call**: Experience seamless communication with integrated hands-free voice and video call features using multiple Speech-to-Text providers (Local Whisper, OpenAI, Deepgram, Azure) and Text-to-Speech engines (Azure, ElevenLabs, OpenAI, Transformers, WebAPI), allowing for dynamic and interactive chat environments.
- 🎤📹 **Hands-Free Voice/Video Call**: Experience seamless communication with integrated hands-free voice and video call features, allowing for a more dynamic and interactive chat environment.
- 🛠️ **Model Builder**: Easily create Ollama models via the Web UI. Create and add custom characters/agents, customize chat elements, and import models effortlessly through [Open WebUI Community](https://openwebui.com/) integration.
- 🐍 **Native Python Function Calling Tool**: Enhance your LLMs with built-in code editor support in the tools workspace. Bring Your Own Function (BYOF) by simply adding your pure Python functions, enabling seamless integration with LLMs.
- 💾 **Persistent Artifact Storage**: Built-in key-value storage API for artifacts, enabling features like journals, trackers, leaderboards, and collaborative tools with both personal and shared data scopes across sessions.
- 📚 **Local RAG Integration**: Dive into the future of chat interactions with groundbreaking Retrieval Augmented Generation (RAG) support. This feature seamlessly integrates document interactions into your chat experience. You can load documents directly into the chat or add files to your document library, effortlessly accessing them using the `#` command before a query.
- 📚 **Local RAG Integration**: Dive into the future of chat interactions with groundbreaking Retrieval Augmented Generation (RAG) support using your choice of 9 vector databases and multiple content extraction engines (Tika, Docling, Document Intelligence, Mistral OCR, External loaders). Load documents directly into chat or add files to your document library, effortlessly accessing them using the `#` command before a query.
- 🔍 **Web Search for RAG**: Perform web searches using 15+ providers including `SearXNG`, `Google PSE`, `Brave Search`, `Kagi`, `Mojeek`, `Tavily`, `Perplexity`, `serpstack`, `serper`, `Serply`, `DuckDuckGo`, `SearchApi`, `SerpApi`, `Bing`, `Jina`, `Exa`, `Sougou`, `Azure AI Search`, and `Ollama Cloud`, injecting results directly into your chat experience.
- 🔍 **Web Search for RAG**: Perform web searches using providers like `SearXNG`, `Google PSE`, `Brave Search`, `serpstack`, `serper`, `Serply`, `DuckDuckGo`, `TavilySearch`, `SearchApi` and `Bing` and inject the results directly into your chat experience.
- 🌐 **Web Browsing Capability**: Seamlessly integrate websites into your chat experience using the `#` command followed by a URL. This feature allows you to incorporate web content directly into your conversations, enhancing the richness and depth of your interactions.
- 🎨 **Image Generation & Editing Integration**: Create and edit images using multiple engines including OpenAI's DALL-E, Gemini, ComfyUI (local), and AUTOMATIC1111 (local), with support for both generation and prompt-based editing workflows.
- 🎨 **Image Generation Integration**: Seamlessly incorporate image generation capabilities using options such as AUTOMATIC1111 API or ComfyUI (local), and OpenAI's DALL-E (external), enriching your chat experience with dynamic visual content.
- ⚙️ **Many Models Conversations**: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.
- 🔐 **Role-Based Access Control (RBAC)**: Ensure secure access with restricted permissions; only authorized individuals can access your Ollama, and exclusive model creation/pulling rights are reserved for administrators.
- 🗄️ **Flexible Database & Storage Options**: Choose from SQLite (with optional encryption), PostgreSQL, or configure cloud storage backends (S3, Google Cloud Storage, Azure Blob Storage) for scalable deployments.
- 🔍 **Advanced Vector Database Support**: Select from 9 vector database options including ChromaDB, PGVector, Qdrant, Milvus, Elasticsearch, OpenSearch, Pinecone, S3Vector, and Oracle 23ai for optimal RAG performance.
- 🔐 **Enterprise Authentication**: Full support for LDAP/Active Directory integration, SCIM 2.0 automated provisioning, and SSO via trusted headers alongside OAuth providers. Enterprise-grade user and group provisioning through SCIM 2.0 protocol, enabling seamless integration with identity providers like Okta, Azure AD, and Google Workspace for automated user lifecycle management.
- ☁️ **Cloud-Native Integration**: Native support for Google Drive and OneDrive/SharePoint file picking, enabling seamless document import from enterprise cloud storage.
- 📊 **Production Observability**: Built-in OpenTelemetry support for traces, metrics, and logs, enabling comprehensive monitoring with your existing observability stack.
- ⚖️ **Horizontal Scalability**: Redis-backed session management and WebSocket support for multi-worker and multi-node deployments behind load balancers.
- 🌐🌍 **Multilingual Support**: Experience Open WebUI in your preferred language with our internationalization (i18n) support. Join us in expanding our supported languages! We're actively seeking contributors!
- 🧩 **Pipelines, Open WebUI Plugin Support**: Seamlessly integrate custom logic and Python libraries into Open WebUI using [Pipelines Plugin Framework](https://github.com/open-webui/pipelines). Launch your Pipelines instance, set the OpenAI URL to the Pipelines URL, and explore endless possibilities. [Examples](https://github.com/open-webui/pipelines/tree/main/examples) include **Function Calling**, User **Rate Limiting** to control access, **Usage Monitoring** with tools like Langfuse, **Live Translation with LibreTranslate** for multilingual support, **Toxic Message Filtering** and much more.
@ -77,6 +65,43 @@ For more information, be sure to check out our [Open WebUI Documentation](https:
Want to learn more about Open WebUI's features? Check out our [Open WebUI documentation](https://docs.openwebui.com/features) for a comprehensive overview!
## Sponsors 🙌
#### Emerald
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</td>
<td>
<a href="https://tailscale.com/blog/self-host-a-local-ai-stack/?utm_source=OpenWebUI&utm_medium=paid-ad-placement&utm_campaign=OpenWebUI-Docs">Tailscale</a> • Connect self-hosted AI to any device with Tailscale
</td>
</tr>
<tr>
<td>
<a href="https://warp.dev/open-webui" target="_blank">
<img src="https://docs.openwebui.com/sponsors/logos/warp.png" alt="Warp" style="width: 8rem; height: 8rem; border-radius: .75rem;" />
</a>
</td>
<td>
<a href="https://warp.dev/open-webui">Warp</a> • The intelligent terminal for developers
</td>
</tr>
</table>
---
We are incredibly grateful for the generous support of our sponsors. Their contributions help us to maintain and improve our project, ensuring we can continue to deliver quality work to our community. Thank you!

View file

@ -287,30 +287,25 @@ class AppConfig:
# WEBUI_AUTH (Required for security)
####################################
ENABLE_API_KEYS = PersistentConfig(
"ENABLE_API_KEYS",
"auth.enable_api_keys",
os.environ.get("ENABLE_API_KEYS", "False").lower() == "true",
ENABLE_API_KEY = PersistentConfig(
"ENABLE_API_KEY",
"auth.api_key.enable",
os.environ.get("ENABLE_API_KEY", "True").lower() == "true",
)
ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS = PersistentConfig(
"ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS",
ENABLE_API_KEY_ENDPOINT_RESTRICTIONS = PersistentConfig(
"ENABLE_API_KEY_ENDPOINT_RESTRICTIONS",
"auth.api_key.endpoint_restrictions",
os.environ.get(
"ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS",
os.environ.get("ENABLE_API_KEY_ENDPOINT_RESTRICTIONS", "False"),
).lower()
== "true",
os.environ.get("ENABLE_API_KEY_ENDPOINT_RESTRICTIONS", "False").lower() == "true",
)
API_KEYS_ALLOWED_ENDPOINTS = PersistentConfig(
"API_KEYS_ALLOWED_ENDPOINTS",
API_KEY_ALLOWED_ENDPOINTS = PersistentConfig(
"API_KEY_ALLOWED_ENDPOINTS",
"auth.api_key.allowed_endpoints",
os.environ.get(
"API_KEYS_ALLOWED_ENDPOINTS", os.environ.get("API_KEY_ALLOWED_ENDPOINTS", "")
),
os.environ.get("API_KEY_ALLOWED_ENDPOINTS", ""),
)
JWT_EXPIRES_IN = PersistentConfig(
"JWT_EXPIRES_IN", "auth.jwt_expiry", os.environ.get("JWT_EXPIRES_IN", "4w")
)
@ -575,38 +570,25 @@ OAUTH_BLOCKED_GROUPS = PersistentConfig(
os.environ.get("OAUTH_BLOCKED_GROUPS", "[]"),
)
OAUTH_GROUPS_SEPARATOR = os.environ.get("OAUTH_GROUPS_SEPARATOR", ";")
OAUTH_ROLES_CLAIM = PersistentConfig(
"OAUTH_ROLES_CLAIM",
"oauth.roles_claim",
os.environ.get("OAUTH_ROLES_CLAIM", "roles"),
)
OAUTH_ROLES_SEPARATOR = os.environ.get("OAUTH_ROLES_SEPARATOR", ",")
OAUTH_ALLOWED_ROLES = PersistentConfig(
"OAUTH_ALLOWED_ROLES",
"oauth.allowed_roles",
[
role.strip()
for role in os.environ.get(
"OAUTH_ALLOWED_ROLES", f"user{OAUTH_ROLES_SEPARATOR}admin"
).split(OAUTH_ROLES_SEPARATOR)
if role
for role in os.environ.get("OAUTH_ALLOWED_ROLES", "user,admin").split(",")
],
)
OAUTH_ADMIN_ROLES = PersistentConfig(
"OAUTH_ADMIN_ROLES",
"oauth.admin_roles",
[
role.strip()
for role in os.environ.get("OAUTH_ADMIN_ROLES", "admin").split(
OAUTH_ROLES_SEPARATOR
)
if role
],
[role.strip() for role in os.environ.get("OAUTH_ADMIN_ROLES", "admin").split(",")],
)
OAUTH_ALLOWED_DOMAINS = PersistentConfig(
@ -624,11 +606,6 @@ OAUTH_UPDATE_PICTURE_ON_LOGIN = PersistentConfig(
os.environ.get("OAUTH_UPDATE_PICTURE_ON_LOGIN", "False").lower() == "true",
)
OAUTH_ACCESS_TOKEN_REQUEST_INCLUDE_CLIENT_ID = (
os.environ.get("OAUTH_ACCESS_TOKEN_REQUEST_INCLUDE_CLIENT_ID", "False").lower()
== "true"
)
def load_oauth_providers():
OAUTH_PROVIDERS.clear()
@ -1138,7 +1115,6 @@ ENABLE_LOGIN_FORM = PersistentConfig(
os.environ.get("ENABLE_LOGIN_FORM", "True").lower() == "true",
)
ENABLE_PASSWORD_AUTH = os.environ.get("ENABLE_PASSWORD_AUTH", "True").lower() == "true"
DEFAULT_LOCALE = PersistentConfig(
"DEFAULT_LOCALE",
@ -1150,12 +1126,6 @@ DEFAULT_MODELS = PersistentConfig(
"DEFAULT_MODELS", "ui.default_models", os.environ.get("DEFAULT_MODELS", None)
)
DEFAULT_PINNED_MODELS = PersistentConfig(
"DEFAULT_PINNED_MODELS",
"ui.default_pinned_models",
os.environ.get("DEFAULT_PINNED_MODELS", None),
)
try:
default_prompt_suggestions = json.loads(
os.environ.get("DEFAULT_PROMPT_SUGGESTIONS", "[]")
@ -1212,12 +1182,6 @@ DEFAULT_USER_ROLE = PersistentConfig(
os.getenv("DEFAULT_USER_ROLE", "pending"),
)
DEFAULT_GROUP_ID = PersistentConfig(
"DEFAULT_GROUP_ID",
"ui.default_group_id",
os.environ.get("DEFAULT_GROUP_ID", ""),
)
PENDING_USER_OVERLAY_TITLE = PersistentConfig(
"PENDING_USER_OVERLAY_TITLE",
"ui.pending_user_overlay_title",
@ -1257,40 +1221,6 @@ USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS", "False").lower() == "true"
)
USER_PERMISSIONS_WORKSPACE_MODELS_IMPORT = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_MODELS_IMPORT", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_MODELS_EXPORT = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_MODELS_EXPORT", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_PROMPTS_IMPORT = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_PROMPTS_IMPORT", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_PROMPTS_EXPORT = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_PROMPTS_EXPORT", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_TOOLS_IMPORT = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_TOOLS_IMPORT", "False").lower() == "true"
)
USER_PERMISSIONS_WORKSPACE_TOOLS_EXPORT = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_TOOLS_EXPORT", "False").lower() == "true"
)
USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_SHARING = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_SHARING", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING = (
os.environ.get(
"USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING", "False"
@ -1298,10 +1228,8 @@ USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING = (
== "true"
)
USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_SHARING = (
os.environ.get(
"USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING", "False"
).lower()
USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING = (
os.environ.get("USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING", "False").lower()
== "true"
)
@ -1312,11 +1240,6 @@ USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING = (
== "true"
)
USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_SHARING = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_SHARING", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_PUBLIC_SHARING = (
os.environ.get(
"USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_PUBLIC_SHARING", "False"
@ -1324,12 +1247,6 @@ USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_PUBLIC_SHARING = (
== "true"
)
USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_SHARING = (
os.environ.get("USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_SHARING", "False").lower()
== "true"
)
USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_PUBLIC_SHARING = (
os.environ.get(
"USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_PUBLIC_SHARING", "False"
@ -1338,17 +1255,6 @@ USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_PUBLIC_SHARING = (
)
USER_PERMISSIONS_NOTES_ALLOW_SHARING = (
os.environ.get("USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING", "False").lower()
== "true"
)
USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING = (
os.environ.get("USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING", "False").lower()
== "true"
)
USER_PERMISSIONS_CHAT_CONTROLS = (
os.environ.get("USER_PERMISSIONS_CHAT_CONTROLS", "True").lower() == "true"
)
@ -1447,22 +1353,10 @@ USER_PERMISSIONS_FEATURES_CODE_INTERPRETER = (
== "true"
)
USER_PERMISSIONS_FEATURES_FOLDERS = (
os.environ.get("USER_PERMISSIONS_FEATURES_FOLDERS", "True").lower() == "true"
)
USER_PERMISSIONS_FEATURES_NOTES = (
os.environ.get("USER_PERMISSIONS_FEATURES_NOTES", "True").lower() == "true"
)
USER_PERMISSIONS_FEATURES_CHANNELS = (
os.environ.get("USER_PERMISSIONS_FEATURES_CHANNELS", "True").lower() == "true"
)
USER_PERMISSIONS_FEATURES_API_KEYS = (
os.environ.get("USER_PERMISSIONS_FEATURES_API_KEYS", "False").lower() == "true"
)
DEFAULT_USER_PERMISSIONS = {
"workspace": {
@ -1470,23 +1364,12 @@ DEFAULT_USER_PERMISSIONS = {
"knowledge": USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ACCESS,
"prompts": USER_PERMISSIONS_WORKSPACE_PROMPTS_ACCESS,
"tools": USER_PERMISSIONS_WORKSPACE_TOOLS_ACCESS,
"models_import": USER_PERMISSIONS_WORKSPACE_MODELS_IMPORT,
"models_export": USER_PERMISSIONS_WORKSPACE_MODELS_EXPORT,
"prompts_import": USER_PERMISSIONS_WORKSPACE_PROMPTS_IMPORT,
"prompts_export": USER_PERMISSIONS_WORKSPACE_PROMPTS_EXPORT,
"tools_import": USER_PERMISSIONS_WORKSPACE_TOOLS_IMPORT,
"tools_export": USER_PERMISSIONS_WORKSPACE_TOOLS_EXPORT,
},
"sharing": {
"models": USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_SHARING,
"public_models": USER_PERMISSIONS_WORKSPACE_MODELS_ALLOW_PUBLIC_SHARING,
"knowledge": USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_SHARING,
"public_knowledge": USER_PERMISSIONS_WORKSPACE_KNOWLEDGE_ALLOW_PUBLIC_SHARING,
"prompts": USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_SHARING,
"public_prompts": USER_PERMISSIONS_WORKSPACE_PROMPTS_ALLOW_PUBLIC_SHARING,
"tools": USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_SHARING,
"public_tools": USER_PERMISSIONS_WORKSPACE_TOOLS_ALLOW_PUBLIC_SHARING,
"notes": USER_PERMISSIONS_NOTES_ALLOW_SHARING,
"public_notes": USER_PERMISSIONS_NOTES_ALLOW_PUBLIC_SHARING,
},
"chat": {
@ -1511,16 +1394,11 @@ DEFAULT_USER_PERMISSIONS = {
"temporary_enforced": USER_PERMISSIONS_CHAT_TEMPORARY_ENFORCED,
},
"features": {
# General features
"api_keys": USER_PERMISSIONS_FEATURES_API_KEYS,
"notes": USER_PERMISSIONS_FEATURES_NOTES,
"folders": USER_PERMISSIONS_FEATURES_FOLDERS,
"channels": USER_PERMISSIONS_FEATURES_CHANNELS,
"direct_tool_servers": USER_PERMISSIONS_FEATURES_DIRECT_TOOL_SERVERS,
# Chat features
"web_search": USER_PERMISSIONS_FEATURES_WEB_SEARCH,
"image_generation": USER_PERMISSIONS_FEATURES_IMAGE_GENERATION,
"code_interpreter": USER_PERMISSIONS_FEATURES_CODE_INTERPRETER,
"notes": USER_PERMISSIONS_FEATURES_NOTES,
},
}
@ -1530,12 +1408,6 @@ USER_PERMISSIONS = PersistentConfig(
DEFAULT_USER_PERMISSIONS,
)
ENABLE_FOLDERS = PersistentConfig(
"ENABLE_FOLDERS",
"folders.enable",
os.environ.get("ENABLE_FOLDERS", "True").lower() == "true",
)
ENABLE_CHANNELS = PersistentConfig(
"ENABLE_CHANNELS",
"channels.enable",
@ -1935,38 +1807,6 @@ Output:
#### Output:
"""
VOICE_MODE_PROMPT_TEMPLATE = PersistentConfig(
"VOICE_MODE_PROMPT_TEMPLATE",
"task.voice.prompt_template",
os.environ.get("VOICE_MODE_PROMPT_TEMPLATE", ""),
)
DEFAULT_VOICE_MODE_PROMPT_TEMPLATE = """You are a friendly, concise voice assistant.
Everything you say will be spoken aloud.
Keep responses short, clear, and natural.
STYLE:
- Use simple words and short sentences.
- Sound warm and conversational.
- Avoid long explanations, lists, or complex phrasing.
BEHAVIOR:
- Give the quickest helpful answer first.
- Offer extra detail only if needed.
- Ask for clarification only when necessary.
VOICE OPTIMIZATION:
- Break information into small, easy-to-hear chunks.
- Avoid dense wording or anything that sounds like reading text.
ERROR HANDLING:
- If unsure, say so briefly and offer options.
- If something is unsafe or impossible, decline kindly and suggest a safe alternative.
Stay consistent, helpful, and easy to listen to."""
TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = PersistentConfig(
"TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE",
"task.tools.prompt_template",
@ -2207,11 +2047,6 @@ ENABLE_QDRANT_MULTITENANCY_MODE = (
)
QDRANT_COLLECTION_PREFIX = os.environ.get("QDRANT_COLLECTION_PREFIX", "open-webui")
WEAVIATE_HTTP_HOST = os.environ.get("WEAVIATE_HTTP_HOST", "")
WEAVIATE_HTTP_PORT = int(os.environ.get("WEAVIATE_HTTP_PORT", "8080"))
WEAVIATE_GRPC_PORT = int(os.environ.get("WEAVIATE_GRPC_PORT", "50051"))
WEAVIATE_API_KEY = os.environ.get("WEAVIATE_API_KEY")
# OpenSearch
OPENSEARCH_URI = os.environ.get("OPENSEARCH_URI", "https://localhost:9200")
OPENSEARCH_SSL = os.environ.get("OPENSEARCH_SSL", "true").lower() == "true"
@ -2242,16 +2077,6 @@ PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH = int(
os.environ.get("PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH", "1536")
)
PGVECTOR_USE_HALFVEC = os.getenv("PGVECTOR_USE_HALFVEC", "false").lower() == "true"
if PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH > 2000 and not PGVECTOR_USE_HALFVEC:
raise ValueError(
"PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH is set to "
f"{PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH}, which exceeds the 2000 dimension limit of the "
"'vector' type. Set PGVECTOR_USE_HALFVEC=true to enable the 'halfvec' "
"type required for high-dimensional embeddings."
)
PGVECTOR_CREATE_EXTENSION = (
os.getenv("PGVECTOR_CREATE_EXTENSION", "true").lower() == "true"
)
@ -2301,40 +2126,6 @@ else:
except Exception:
PGVECTOR_POOL_RECYCLE = 3600
PGVECTOR_INDEX_METHOD = os.getenv("PGVECTOR_INDEX_METHOD", "").strip().lower()
if PGVECTOR_INDEX_METHOD not in ("ivfflat", "hnsw", ""):
PGVECTOR_INDEX_METHOD = ""
PGVECTOR_HNSW_M = os.environ.get("PGVECTOR_HNSW_M", 16)
if PGVECTOR_HNSW_M == "":
PGVECTOR_HNSW_M = 16
else:
try:
PGVECTOR_HNSW_M = int(PGVECTOR_HNSW_M)
except Exception:
PGVECTOR_HNSW_M = 16
PGVECTOR_HNSW_EF_CONSTRUCTION = os.environ.get("PGVECTOR_HNSW_EF_CONSTRUCTION", 64)
if PGVECTOR_HNSW_EF_CONSTRUCTION == "":
PGVECTOR_HNSW_EF_CONSTRUCTION = 64
else:
try:
PGVECTOR_HNSW_EF_CONSTRUCTION = int(PGVECTOR_HNSW_EF_CONSTRUCTION)
except Exception:
PGVECTOR_HNSW_EF_CONSTRUCTION = 64
PGVECTOR_IVFFLAT_LISTS = os.environ.get("PGVECTOR_IVFFLAT_LISTS", 100)
if PGVECTOR_IVFFLAT_LISTS == "":
PGVECTOR_IVFFLAT_LISTS = 100
else:
try:
PGVECTOR_IVFFLAT_LISTS = int(PGVECTOR_IVFFLAT_LISTS)
except Exception:
PGVECTOR_IVFFLAT_LISTS = 100
# Pinecone
PINECONE_API_KEY = os.environ.get("PINECONE_API_KEY", None)
PINECONE_ENVIRONMENT = os.environ.get("PINECONE_ENVIRONMENT", None)
@ -2560,12 +2351,6 @@ DOCLING_SERVER_URL = PersistentConfig(
os.getenv("DOCLING_SERVER_URL", "http://docling:5001"),
)
DOCLING_API_KEY = PersistentConfig(
"DOCLING_API_KEY",
"rag.docling_api_key",
os.getenv("DOCLING_API_KEY", ""),
)
docling_params = os.getenv("DOCLING_PARAMS", "")
try:
docling_params = json.loads(docling_params)
@ -2578,6 +2363,88 @@ DOCLING_PARAMS = PersistentConfig(
docling_params,
)
DOCLING_DO_OCR = PersistentConfig(
"DOCLING_DO_OCR",
"rag.docling_do_ocr",
os.getenv("DOCLING_DO_OCR", "True").lower() == "true",
)
DOCLING_FORCE_OCR = PersistentConfig(
"DOCLING_FORCE_OCR",
"rag.docling_force_ocr",
os.getenv("DOCLING_FORCE_OCR", "False").lower() == "true",
)
DOCLING_OCR_ENGINE = PersistentConfig(
"DOCLING_OCR_ENGINE",
"rag.docling_ocr_engine",
os.getenv("DOCLING_OCR_ENGINE", "tesseract"),
)
DOCLING_OCR_LANG = PersistentConfig(
"DOCLING_OCR_LANG",
"rag.docling_ocr_lang",
os.getenv("DOCLING_OCR_LANG", "eng,fra,deu,spa"),
)
DOCLING_PDF_BACKEND = PersistentConfig(
"DOCLING_PDF_BACKEND",
"rag.docling_pdf_backend",
os.getenv("DOCLING_PDF_BACKEND", "dlparse_v4"),
)
DOCLING_TABLE_MODE = PersistentConfig(
"DOCLING_TABLE_MODE",
"rag.docling_table_mode",
os.getenv("DOCLING_TABLE_MODE", "accurate"),
)
DOCLING_PIPELINE = PersistentConfig(
"DOCLING_PIPELINE",
"rag.docling_pipeline",
os.getenv("DOCLING_PIPELINE", "standard"),
)
DOCLING_DO_PICTURE_DESCRIPTION = PersistentConfig(
"DOCLING_DO_PICTURE_DESCRIPTION",
"rag.docling_do_picture_description",
os.getenv("DOCLING_DO_PICTURE_DESCRIPTION", "False").lower() == "true",
)
DOCLING_PICTURE_DESCRIPTION_MODE = PersistentConfig(
"DOCLING_PICTURE_DESCRIPTION_MODE",
"rag.docling_picture_description_mode",
os.getenv("DOCLING_PICTURE_DESCRIPTION_MODE", ""),
)
docling_picture_description_local = os.getenv("DOCLING_PICTURE_DESCRIPTION_LOCAL", "")
try:
docling_picture_description_local = json.loads(docling_picture_description_local)
except json.JSONDecodeError:
docling_picture_description_local = {}
DOCLING_PICTURE_DESCRIPTION_LOCAL = PersistentConfig(
"DOCLING_PICTURE_DESCRIPTION_LOCAL",
"rag.docling_picture_description_local",
docling_picture_description_local,
)
docling_picture_description_api = os.getenv("DOCLING_PICTURE_DESCRIPTION_API", "")
try:
docling_picture_description_api = json.loads(docling_picture_description_api)
except json.JSONDecodeError:
docling_picture_description_api = {}
DOCLING_PICTURE_DESCRIPTION_API = PersistentConfig(
"DOCLING_PICTURE_DESCRIPTION_API",
"rag.docling_picture_description_api",
docling_picture_description_api,
)
DOCUMENT_INTELLIGENCE_ENDPOINT = PersistentConfig(
"DOCUMENT_INTELLIGENCE_ENDPOINT",
"rag.document_intelligence_endpoint",
@ -2590,18 +2457,6 @@ DOCUMENT_INTELLIGENCE_KEY = PersistentConfig(
os.getenv("DOCUMENT_INTELLIGENCE_KEY", ""),
)
DOCUMENT_INTELLIGENCE_MODEL = PersistentConfig(
"DOCUMENT_INTELLIGENCE_MODEL",
"rag.document_intelligence_model",
os.getenv("DOCUMENT_INTELLIGENCE_MODEL", "prebuilt-layout"),
)
MISTRAL_OCR_API_BASE_URL = PersistentConfig(
"MISTRAL_OCR_API_BASE_URL",
"rag.MISTRAL_OCR_API_BASE_URL",
os.getenv("MISTRAL_OCR_API_BASE_URL", "https://api.mistral.ai/v1"),
)
MISTRAL_OCR_API_KEY = PersistentConfig(
"MISTRAL_OCR_API_KEY",
"rag.mistral_ocr_api_key",
@ -2640,13 +2495,6 @@ ENABLE_RAG_HYBRID_SEARCH = PersistentConfig(
os.environ.get("ENABLE_RAG_HYBRID_SEARCH", "").lower() == "true",
)
ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS = PersistentConfig(
"ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS",
"rag.enable_hybrid_search_enriched_texts",
os.environ.get("ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS", "False").lower()
== "true",
)
RAG_FULL_CONTEXT = PersistentConfig(
"RAG_FULL_CONTEXT",
"rag.full_context",
@ -2741,12 +2589,6 @@ RAG_EMBEDDING_BATCH_SIZE = PersistentConfig(
),
)
ENABLE_ASYNC_EMBEDDING = PersistentConfig(
"ENABLE_ASYNC_EMBEDDING",
"rag.enable_async_embedding",
os.environ.get("ENABLE_ASYNC_EMBEDDING", "True").lower() == "true",
)
RAG_EMBEDDING_QUERY_PREFIX = os.environ.get("RAG_EMBEDDING_QUERY_PREFIX", None)
RAG_EMBEDDING_CONTENT_PREFIX = os.environ.get("RAG_EMBEDDING_CONTENT_PREFIX", None)
@ -2840,6 +2682,10 @@ Provide a clear and direct response to the user's query, including inline citati
<context>
{{CONTEXT}}
</context>
<user_query>
{{QUERY}}
</user_query>
"""
RAG_TEMPLATE = PersistentConfig(
@ -2892,26 +2738,6 @@ ENABLE_RAG_LOCAL_WEB_FETCH = (
os.getenv("ENABLE_RAG_LOCAL_WEB_FETCH", "False").lower() == "true"
)
DEFAULT_WEB_FETCH_FILTER_LIST = [
"!169.254.169.254",
"!fd00:ec2::254",
"!metadata.google.internal",
"!metadata.azure.com",
"!100.100.100.200",
]
web_fetch_filter_list = os.getenv("WEB_FETCH_FILTER_LIST", "")
if web_fetch_filter_list == "":
web_fetch_filter_list = []
else:
web_fetch_filter_list = [
item.strip() for item in web_fetch_filter_list.split(",") if item.strip()
]
WEB_FETCH_FILTER_LIST = list(set(DEFAULT_WEB_FETCH_FILTER_LIST + web_fetch_filter_list))
YOUTUBE_LOADER_LANGUAGE = PersistentConfig(
"YOUTUBE_LOADER_LANGUAGE",
"rag.youtube_loader_language",
@ -2970,7 +2796,6 @@ WEB_SEARCH_DOMAIN_FILTER_LIST = PersistentConfig(
# "wikipedia.com",
# "wikimedia.org",
# "wikidata.org",
# "!stackoverflow.com",
],
)
@ -3142,24 +2967,6 @@ BING_SEARCH_V7_SUBSCRIPTION_KEY = PersistentConfig(
os.environ.get("BING_SEARCH_V7_SUBSCRIPTION_KEY", ""),
)
AZURE_AI_SEARCH_API_KEY = PersistentConfig(
"AZURE_AI_SEARCH_API_KEY",
"rag.web.search.azure_ai_search_api_key",
os.environ.get("AZURE_AI_SEARCH_API_KEY", ""),
)
AZURE_AI_SEARCH_ENDPOINT = PersistentConfig(
"AZURE_AI_SEARCH_ENDPOINT",
"rag.web.search.azure_ai_search_endpoint",
os.environ.get("AZURE_AI_SEARCH_ENDPOINT", ""),
)
AZURE_AI_SEARCH_INDEX_NAME = PersistentConfig(
"AZURE_AI_SEARCH_INDEX_NAME",
"rag.web.search.azure_ai_search_index_name",
os.environ.get("AZURE_AI_SEARCH_INDEX_NAME", ""),
)
EXA_API_KEY = PersistentConfig(
"EXA_API_KEY",
"rag.web.search.exa_api_key",
@ -3184,12 +2991,6 @@ PERPLEXITY_SEARCH_CONTEXT_USAGE = PersistentConfig(
os.getenv("PERPLEXITY_SEARCH_CONTEXT_USAGE", "medium"),
)
PERPLEXITY_SEARCH_API_URL = PersistentConfig(
"PERPLEXITY_SEARCH_API_URL",
"rag.web.search.perplexity_search_api_url",
os.getenv("PERPLEXITY_SEARCH_API_URL", "https://api.perplexity.ai/search"),
)
SOUGOU_API_SID = PersistentConfig(
"SOUGOU_API_SID",
"rag.web.search.sougou_api_sid",
@ -3266,30 +3067,16 @@ EXTERNAL_WEB_LOADER_API_KEY = PersistentConfig(
# Images
####################################
ENABLE_IMAGE_GENERATION = PersistentConfig(
"ENABLE_IMAGE_GENERATION",
"image_generation.enable",
os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true",
)
IMAGE_GENERATION_ENGINE = PersistentConfig(
"IMAGE_GENERATION_ENGINE",
"image_generation.engine",
os.getenv("IMAGE_GENERATION_ENGINE", "openai"),
)
IMAGE_GENERATION_MODEL = PersistentConfig(
"IMAGE_GENERATION_MODEL",
"image_generation.model",
os.getenv("IMAGE_GENERATION_MODEL", ""),
)
IMAGE_SIZE = PersistentConfig(
"IMAGE_SIZE", "image_generation.size", os.getenv("IMAGE_SIZE", "512x512")
)
IMAGE_STEPS = PersistentConfig(
"IMAGE_STEPS", "image_generation.steps", int(os.getenv("IMAGE_STEPS", 50))
ENABLE_IMAGE_GENERATION = PersistentConfig(
"ENABLE_IMAGE_GENERATION",
"image_generation.enable",
os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true",
)
ENABLE_IMAGE_PROMPT_GENERATION = PersistentConfig(
@ -3309,16 +3096,35 @@ AUTOMATIC1111_API_AUTH = PersistentConfig(
os.getenv("AUTOMATIC1111_API_AUTH", ""),
)
automatic1111_params = os.getenv("AUTOMATIC1111_PARAMS", "")
try:
automatic1111_params = json.loads(automatic1111_params)
except json.JSONDecodeError:
automatic1111_params = {}
AUTOMATIC1111_CFG_SCALE = PersistentConfig(
"AUTOMATIC1111_CFG_SCALE",
"image_generation.automatic1111.cfg_scale",
(
float(os.environ.get("AUTOMATIC1111_CFG_SCALE"))
if os.environ.get("AUTOMATIC1111_CFG_SCALE")
else None
),
)
AUTOMATIC1111_PARAMS = PersistentConfig(
"AUTOMATIC1111_PARAMS",
"image_generation.automatic1111.api_params",
automatic1111_params,
AUTOMATIC1111_SAMPLER = PersistentConfig(
"AUTOMATIC1111_SAMPLER",
"image_generation.automatic1111.sampler",
(
os.environ.get("AUTOMATIC1111_SAMPLER")
if os.environ.get("AUTOMATIC1111_SAMPLER")
else None
),
)
AUTOMATIC1111_SCHEDULER = PersistentConfig(
"AUTOMATIC1111_SCHEDULER",
"image_generation.automatic1111.scheduler",
(
os.environ.get("AUTOMATIC1111_SCHEDULER")
if os.environ.get("AUTOMATIC1111_SCHEDULER")
else None
),
)
COMFYUI_BASE_URL = PersistentConfig(
@ -3473,18 +3279,6 @@ IMAGES_OPENAI_API_KEY = PersistentConfig(
os.getenv("IMAGES_OPENAI_API_KEY", OPENAI_API_KEY),
)
images_openai_params = os.getenv("IMAGES_OPENAI_PARAMS", "")
try:
images_openai_params = json.loads(images_openai_params)
except json.JSONDecodeError:
images_openai_params = {}
IMAGES_OPENAI_API_PARAMS = PersistentConfig(
"IMAGES_OPENAI_API_PARAMS", "image_generation.openai.params", images_openai_params
)
IMAGES_GEMINI_API_BASE_URL = PersistentConfig(
"IMAGES_GEMINI_API_BASE_URL",
"image_generation.gemini.api_base_url",
@ -3496,84 +3290,18 @@ IMAGES_GEMINI_API_KEY = PersistentConfig(
os.getenv("IMAGES_GEMINI_API_KEY", GEMINI_API_KEY),
)
IMAGES_GEMINI_ENDPOINT_METHOD = PersistentConfig(
"IMAGES_GEMINI_ENDPOINT_METHOD",
"image_generation.gemini.endpoint_method",
os.getenv("IMAGES_GEMINI_ENDPOINT_METHOD", ""),
IMAGE_SIZE = PersistentConfig(
"IMAGE_SIZE", "image_generation.size", os.getenv("IMAGE_SIZE", "512x512")
)
ENABLE_IMAGE_EDIT = PersistentConfig(
"ENABLE_IMAGE_EDIT",
"images.edit.enable",
os.environ.get("ENABLE_IMAGE_EDIT", "").lower() == "true",
IMAGE_STEPS = PersistentConfig(
"IMAGE_STEPS", "image_generation.steps", int(os.getenv("IMAGE_STEPS", 50))
)
IMAGE_EDIT_ENGINE = PersistentConfig(
"IMAGE_EDIT_ENGINE",
"images.edit.engine",
os.getenv("IMAGE_EDIT_ENGINE", "openai"),
)
IMAGE_EDIT_MODEL = PersistentConfig(
"IMAGE_EDIT_MODEL",
"images.edit.model",
os.getenv("IMAGE_EDIT_MODEL", ""),
)
IMAGE_EDIT_SIZE = PersistentConfig(
"IMAGE_EDIT_SIZE", "images.edit.size", os.getenv("IMAGE_EDIT_SIZE", "")
)
IMAGES_EDIT_OPENAI_API_BASE_URL = PersistentConfig(
"IMAGES_EDIT_OPENAI_API_BASE_URL",
"images.edit.openai.api_base_url",
os.getenv("IMAGES_EDIT_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL),
)
IMAGES_EDIT_OPENAI_API_VERSION = PersistentConfig(
"IMAGES_EDIT_OPENAI_API_VERSION",
"images.edit.openai.api_version",
os.getenv("IMAGES_EDIT_OPENAI_API_VERSION", ""),
)
IMAGES_EDIT_OPENAI_API_KEY = PersistentConfig(
"IMAGES_EDIT_OPENAI_API_KEY",
"images.edit.openai.api_key",
os.getenv("IMAGES_EDIT_OPENAI_API_KEY", OPENAI_API_KEY),
)
IMAGES_EDIT_GEMINI_API_BASE_URL = PersistentConfig(
"IMAGES_EDIT_GEMINI_API_BASE_URL",
"images.edit.gemini.api_base_url",
os.getenv("IMAGES_EDIT_GEMINI_API_BASE_URL", GEMINI_API_BASE_URL),
)
IMAGES_EDIT_GEMINI_API_KEY = PersistentConfig(
"IMAGES_EDIT_GEMINI_API_KEY",
"images.edit.gemini.api_key",
os.getenv("IMAGES_EDIT_GEMINI_API_KEY", GEMINI_API_KEY),
)
IMAGES_EDIT_COMFYUI_BASE_URL = PersistentConfig(
"IMAGES_EDIT_COMFYUI_BASE_URL",
"images.edit.comfyui.base_url",
os.getenv("IMAGES_EDIT_COMFYUI_BASE_URL", ""),
)
IMAGES_EDIT_COMFYUI_API_KEY = PersistentConfig(
"IMAGES_EDIT_COMFYUI_API_KEY",
"images.edit.comfyui.api_key",
os.getenv("IMAGES_EDIT_COMFYUI_API_KEY", ""),
)
IMAGES_EDIT_COMFYUI_WORKFLOW = PersistentConfig(
"IMAGES_EDIT_COMFYUI_WORKFLOW",
"images.edit.comfyui.workflow",
os.getenv("IMAGES_EDIT_COMFYUI_WORKFLOW", ""),
)
IMAGES_EDIT_COMFYUI_WORKFLOW_NODES = PersistentConfig(
"IMAGES_EDIT_COMFYUI_WORKFLOW_NODES",
"images.edit.comfyui.nodes",
[],
IMAGE_GENERATION_MODEL = PersistentConfig(
"IMAGE_GENERATION_MODEL",
"image_generation.model",
os.getenv("IMAGE_GENERATION_MODEL", ""),
)
####################################
@ -3608,10 +3336,6 @@ DEEPGRAM_API_KEY = PersistentConfig(
os.getenv("DEEPGRAM_API_KEY", ""),
)
# ElevenLabs configuration
ELEVENLABS_API_BASE_URL = os.getenv(
"ELEVENLABS_API_BASE_URL", "https://api.elevenlabs.io"
)
AUDIO_STT_OPENAI_API_BASE_URL = PersistentConfig(
"AUDIO_STT_OPENAI_API_BASE_URL",
@ -3679,24 +3403,6 @@ AUDIO_STT_AZURE_MAX_SPEAKERS = PersistentConfig(
os.getenv("AUDIO_STT_AZURE_MAX_SPEAKERS", ""),
)
AUDIO_STT_MISTRAL_API_KEY = PersistentConfig(
"AUDIO_STT_MISTRAL_API_KEY",
"audio.stt.mistral.api_key",
os.getenv("AUDIO_STT_MISTRAL_API_KEY", ""),
)
AUDIO_STT_MISTRAL_API_BASE_URL = PersistentConfig(
"AUDIO_STT_MISTRAL_API_BASE_URL",
"audio.stt.mistral.api_base_url",
os.getenv("AUDIO_STT_MISTRAL_API_BASE_URL", "https://api.mistral.ai/v1"),
)
AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS = PersistentConfig(
"AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS",
"audio.stt.mistral.use_chat_completions",
os.getenv("AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS", "false").lower() == "true",
)
AUDIO_TTS_OPENAI_API_BASE_URL = PersistentConfig(
"AUDIO_TTS_OPENAI_API_BASE_URL",
"audio.tts.openai.api_base_url",

View file

@ -45,7 +45,7 @@ class ERROR_MESSAGES(str, Enum):
)
INVALID_CRED = "The email or password provided is incorrect. Please check for typos and try logging in again."
INVALID_EMAIL_FORMAT = "The email format you entered is invalid. Please double-check and make sure you're using a valid email address (e.g., yourname@example.com)."
INCORRECT_PASSWORD = (
INVALID_PASSWORD = (
"The password provided is incorrect. Please check for typos and try again."
)
INVALID_TRUSTED_HEADER = "Your provider has not provided a trusted header. Please contact your administrator for assistance."
@ -105,10 +105,6 @@ class ERROR_MESSAGES(str, Enum):
)
FILE_NOT_PROCESSED = "Extracted content is not available for this file. Please ensure that the file is processed before proceeding."
INVALID_PASSWORD = lambda err="": (
err if err else "The password does not meet the required validation criteria."
)
class TASKS(str, Enum):
def __str__(self) -> str:

View file

@ -8,8 +8,6 @@ import shutil
from uuid import uuid4
from pathlib import Path
from cryptography.hazmat.primitives import serialization
import re
import markdown
from bs4 import BeautifulSoup
@ -137,9 +135,6 @@ else:
PACKAGE_DATA = {"version": "0.0.0"}
VERSION = PACKAGE_DATA["version"]
DEPLOYMENT_ID = os.environ.get("DEPLOYMENT_ID", "")
INSTANCE_ID = os.environ.get("INSTANCE_ID", str(uuid4()))
@ -431,17 +426,6 @@ WEBUI_AUTH_TRUSTED_GROUPS_HEADER = os.environ.get(
)
ENABLE_PASSWORD_VALIDATION = (
os.environ.get("ENABLE_PASSWORD_VALIDATION", "False").lower() == "true"
)
PASSWORD_VALIDATION_REGEX_PATTERN = os.environ.get(
"PASSWORD_VALIDATION_REGEX_PATTERN",
"^(?=.*[a-z])(?=.*[A-Z])(?=.*\d)(?=.*[^\w\s]).{8,}$",
)
PASSWORD_VALIDATION_REGEX_PATTERN = re.compile(PASSWORD_VALIDATION_REGEX_PATTERN)
BYPASS_MODEL_ACCESS_CONTROL = (
os.environ.get("BYPASS_MODEL_ACCESS_CONTROL", "False").lower() == "true"
)
@ -509,10 +493,7 @@ OAUTH_SESSION_TOKEN_ENCRYPTION_KEY = os.environ.get(
# SCIM Configuration
####################################
ENABLE_SCIM = (
os.environ.get("ENABLE_SCIM", os.environ.get("SCIM_ENABLED", "False")).lower()
== "true"
)
SCIM_ENABLED = os.environ.get("SCIM_ENABLED", "False").lower() == "true"
SCIM_TOKEN = os.environ.get("SCIM_TOKEN", "")
####################################
@ -560,11 +541,6 @@ else:
# CHAT
####################################
ENABLE_CHAT_RESPONSE_BASE64_IMAGE_URL_CONVERSION = (
os.environ.get("ENABLE_CHAT_RESPONSE_BASE64_IMAGE_URL_CONVERSION", "False").lower()
== "true"
)
CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE = os.environ.get(
"CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE", "1"
)
@ -593,21 +569,6 @@ else:
CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES = 30
CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE = os.environ.get(
"CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE", ""
)
if CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE == "":
CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE = None
else:
try:
CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE = int(
CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE
)
except Exception:
CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE = None
####################################
# WEBSOCKET SUPPORT
####################################
@ -619,17 +580,6 @@ ENABLE_WEBSOCKET_SUPPORT = (
WEBSOCKET_MANAGER = os.environ.get("WEBSOCKET_MANAGER", "")
WEBSOCKET_REDIS_OPTIONS = os.environ.get("WEBSOCKET_REDIS_OPTIONS", "")
if WEBSOCKET_REDIS_OPTIONS == "":
log.debug("No WEBSOCKET_REDIS_OPTIONS provided, defaulting to None")
WEBSOCKET_REDIS_OPTIONS = None
else:
try:
WEBSOCKET_REDIS_OPTIONS = json.loads(WEBSOCKET_REDIS_OPTIONS)
except Exception:
log.warning("Invalid WEBSOCKET_REDIS_OPTIONS, defaulting to None")
WEBSOCKET_REDIS_OPTIONS = None
WEBSOCKET_REDIS_URL = os.environ.get("WEBSOCKET_REDIS_URL", REDIS_URL)
WEBSOCKET_REDIS_CLUSTER = (
os.environ.get("WEBSOCKET_REDIS_CLUSTER", str(REDIS_CLUSTER)).lower() == "true"
@ -644,23 +594,6 @@ except ValueError:
WEBSOCKET_SENTINEL_HOSTS = os.environ.get("WEBSOCKET_SENTINEL_HOSTS", "")
WEBSOCKET_SENTINEL_PORT = os.environ.get("WEBSOCKET_SENTINEL_PORT", "26379")
WEBSOCKET_SERVER_LOGGING = (
os.environ.get("WEBSOCKET_SERVER_LOGGING", "False").lower() == "true"
)
WEBSOCKET_SERVER_ENGINEIO_LOGGING = (
os.environ.get("WEBSOCKET_SERVER_LOGGING", "False").lower() == "true"
)
WEBSOCKET_SERVER_PING_TIMEOUT = os.environ.get("WEBSOCKET_SERVER_PING_TIMEOUT", "20")
try:
WEBSOCKET_SERVER_PING_TIMEOUT = int(WEBSOCKET_SERVER_PING_TIMEOUT)
except ValueError:
WEBSOCKET_SERVER_PING_TIMEOUT = 20
WEBSOCKET_SERVER_PING_INTERVAL = os.environ.get("WEBSOCKET_SERVER_PING_INTERVAL", "25")
try:
WEBSOCKET_SERVER_PING_INTERVAL = int(WEBSOCKET_SERVER_PING_INTERVAL)
except ValueError:
WEBSOCKET_SERVER_PING_INTERVAL = 25
AIOHTTP_CLIENT_TIMEOUT = os.environ.get("AIOHTTP_CLIENT_TIMEOUT", "")
@ -773,9 +706,7 @@ if OFFLINE_MODE:
# AUDIT LOGGING
####################################
# Where to store log file
# Defaults to the DATA_DIR/audit.log. To set AUDIT_LOGS_FILE_PATH you need to
# provide the whole path, like: /app/audit.log
AUDIT_LOGS_FILE_PATH = os.getenv("AUDIT_LOGS_FILE_PATH", f"{DATA_DIR}/audit.log")
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")

View file

@ -61,11 +61,11 @@ from open_webui.utils import logger
from open_webui.utils.audit import AuditLevel, AuditLoggingMiddleware
from open_webui.utils.logger import start_logger
from open_webui.socket.main import (
MODELS,
app as socket_app,
periodic_usage_pool_cleanup,
get_event_emitter,
get_models_in_use,
get_active_user_ids,
)
from open_webui.routers import (
audio,
@ -146,7 +146,9 @@ from open_webui.config import (
# Image
AUTOMATIC1111_API_AUTH,
AUTOMATIC1111_BASE_URL,
AUTOMATIC1111_PARAMS,
AUTOMATIC1111_CFG_SCALE,
AUTOMATIC1111_SAMPLER,
AUTOMATIC1111_SCHEDULER,
COMFYUI_BASE_URL,
COMFYUI_API_KEY,
COMFYUI_WORKFLOW,
@ -160,23 +162,8 @@ from open_webui.config import (
IMAGES_OPENAI_API_BASE_URL,
IMAGES_OPENAI_API_VERSION,
IMAGES_OPENAI_API_KEY,
IMAGES_OPENAI_API_PARAMS,
IMAGES_GEMINI_API_BASE_URL,
IMAGES_GEMINI_API_KEY,
IMAGES_GEMINI_ENDPOINT_METHOD,
ENABLE_IMAGE_EDIT,
IMAGE_EDIT_ENGINE,
IMAGE_EDIT_MODEL,
IMAGE_EDIT_SIZE,
IMAGES_EDIT_OPENAI_API_BASE_URL,
IMAGES_EDIT_OPENAI_API_KEY,
IMAGES_EDIT_OPENAI_API_VERSION,
IMAGES_EDIT_GEMINI_API_BASE_URL,
IMAGES_EDIT_GEMINI_API_KEY,
IMAGES_EDIT_COMFYUI_BASE_URL,
IMAGES_EDIT_COMFYUI_API_KEY,
IMAGES_EDIT_COMFYUI_WORKFLOW,
IMAGES_EDIT_COMFYUI_WORKFLOW_NODES,
# Audio
AUDIO_STT_ENGINE,
AUDIO_STT_MODEL,
@ -188,9 +175,6 @@ from open_webui.config import (
AUDIO_STT_AZURE_LOCALES,
AUDIO_STT_AZURE_BASE_URL,
AUDIO_STT_AZURE_MAX_SPEAKERS,
AUDIO_STT_MISTRAL_API_KEY,
AUDIO_STT_MISTRAL_API_BASE_URL,
AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS,
AUDIO_TTS_ENGINE,
AUDIO_TTS_MODEL,
AUDIO_TTS_VOICE,
@ -230,7 +214,6 @@ from open_webui.config import (
RAG_RERANKING_MODEL_TRUST_REMOTE_CODE,
RAG_EMBEDDING_ENGINE,
RAG_EMBEDDING_BATCH_SIZE,
ENABLE_ASYNC_EMBEDDING,
RAG_TOP_K,
RAG_TOP_K_RERANKER,
RAG_RELEVANCE_THRESHOLD,
@ -269,12 +252,20 @@ from open_webui.config import (
EXTERNAL_DOCUMENT_LOADER_API_KEY,
TIKA_SERVER_URL,
DOCLING_SERVER_URL,
DOCLING_API_KEY,
DOCLING_PARAMS,
DOCLING_DO_OCR,
DOCLING_FORCE_OCR,
DOCLING_OCR_ENGINE,
DOCLING_OCR_LANG,
DOCLING_PDF_BACKEND,
DOCLING_TABLE_MODE,
DOCLING_PIPELINE,
DOCLING_DO_PICTURE_DESCRIPTION,
DOCLING_PICTURE_DESCRIPTION_MODE,
DOCLING_PICTURE_DESCRIPTION_LOCAL,
DOCLING_PICTURE_DESCRIPTION_API,
DOCUMENT_INTELLIGENCE_ENDPOINT,
DOCUMENT_INTELLIGENCE_KEY,
DOCUMENT_INTELLIGENCE_MODEL,
MISTRAL_OCR_API_BASE_URL,
MISTRAL_OCR_API_KEY,
RAG_TEXT_SPLITTER,
TIKTOKEN_ENCODING_NAME,
@ -313,7 +304,6 @@ from open_webui.config import (
PERPLEXITY_API_KEY,
PERPLEXITY_MODEL,
PERPLEXITY_SEARCH_CONTEXT_USAGE,
PERPLEXITY_SEARCH_API_URL,
SOUGOU_API_SID,
SOUGOU_API_SK,
KAGI_SEARCH_API_KEY,
@ -331,7 +321,6 @@ from open_webui.config import (
ENABLE_ONEDRIVE_PERSONAL,
ENABLE_ONEDRIVE_BUSINESS,
ENABLE_RAG_HYBRID_SEARCH,
ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS,
ENABLE_RAG_LOCAL_WEB_FETCH,
ENABLE_WEB_LOADER_SSL_VERIFICATION,
ENABLE_GOOGLE_DRIVE_INTEGRATION,
@ -350,10 +339,9 @@ from open_webui.config import (
JWT_EXPIRES_IN,
ENABLE_SIGNUP,
ENABLE_LOGIN_FORM,
ENABLE_API_KEYS,
ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS,
API_KEYS_ALLOWED_ENDPOINTS,
ENABLE_FOLDERS,
ENABLE_API_KEY,
ENABLE_API_KEY_ENDPOINT_RESTRICTIONS,
API_KEY_ALLOWED_ENDPOINTS,
ENABLE_CHANNELS,
ENABLE_NOTES,
ENABLE_COMMUNITY_SHARING,
@ -363,12 +351,10 @@ from open_webui.config import (
BYPASS_ADMIN_ACCESS_CONTROL,
USER_PERMISSIONS,
DEFAULT_USER_ROLE,
DEFAULT_GROUP_ID,
PENDING_USER_OVERLAY_CONTENT,
PENDING_USER_OVERLAY_TITLE,
DEFAULT_PROMPT_SUGGESTIONS,
DEFAULT_MODELS,
DEFAULT_PINNED_MODELS,
DEFAULT_ARENA_MODEL,
MODEL_ORDER_LIST,
EVALUATION_ARENA_MODELS,
@ -427,7 +413,6 @@ from open_webui.config import (
TAGS_GENERATION_PROMPT_TEMPLATE,
IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE,
TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE,
VOICE_MODE_PROMPT_TEMPLATE,
QUERY_GENERATION_PROMPT_TEMPLATE,
AUTOCOMPLETE_GENERATION_PROMPT_TEMPLATE,
AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH,
@ -449,7 +434,6 @@ from open_webui.env import (
SAFE_MODE,
SRC_LOG_LEVELS,
VERSION,
DEPLOYMENT_ID,
INSTANCE_ID,
WEBUI_BUILD_HASH,
WEBUI_SECRET_KEY,
@ -460,7 +444,7 @@ from open_webui.env import (
WEBUI_AUTH_TRUSTED_NAME_HEADER,
WEBUI_AUTH_SIGNOUT_REDIRECT_URL,
# SCIM
ENABLE_SCIM,
SCIM_ENABLED,
SCIM_TOKEN,
ENABLE_COMPRESSION_MIDDLEWARE,
ENABLE_WEBSOCKET_SUPPORT,
@ -498,11 +482,9 @@ from open_webui.utils.auth import (
)
from open_webui.utils.plugin import install_tool_and_function_dependencies
from open_webui.utils.oauth import (
get_oauth_client_info_with_dynamic_client_registration,
encrypt_data,
decrypt_data,
OAuthManager,
OAuthClientManager,
decrypt_data,
OAuthClientInformationFull,
)
from open_webui.utils.security_headers import SecurityHeadersMiddleware
@ -716,7 +698,7 @@ app.state.config.ENABLE_DIRECT_CONNECTIONS = ENABLE_DIRECT_CONNECTIONS
#
########################################
app.state.ENABLE_SCIM = ENABLE_SCIM
app.state.SCIM_ENABLED = SCIM_ENABLED
app.state.SCIM_TOKEN = SCIM_TOKEN
########################################
@ -738,11 +720,11 @@ app.state.config.WEBUI_URL = WEBUI_URL
app.state.config.ENABLE_SIGNUP = ENABLE_SIGNUP
app.state.config.ENABLE_LOGIN_FORM = ENABLE_LOGIN_FORM
app.state.config.ENABLE_API_KEYS = ENABLE_API_KEYS
app.state.config.ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS = (
ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS
app.state.config.ENABLE_API_KEY = ENABLE_API_KEY
app.state.config.ENABLE_API_KEY_ENDPOINT_RESTRICTIONS = (
ENABLE_API_KEY_ENDPOINT_RESTRICTIONS
)
app.state.config.API_KEYS_ALLOWED_ENDPOINTS = API_KEYS_ALLOWED_ENDPOINTS
app.state.config.API_KEY_ALLOWED_ENDPOINTS = API_KEY_ALLOWED_ENDPOINTS
app.state.config.JWT_EXPIRES_IN = JWT_EXPIRES_IN
@ -751,13 +733,8 @@ app.state.config.ADMIN_EMAIL = ADMIN_EMAIL
app.state.config.DEFAULT_MODELS = DEFAULT_MODELS
app.state.config.DEFAULT_PINNED_MODELS = DEFAULT_PINNED_MODELS
app.state.config.MODEL_ORDER_LIST = MODEL_ORDER_LIST
app.state.config.DEFAULT_PROMPT_SUGGESTIONS = DEFAULT_PROMPT_SUGGESTIONS
app.state.config.DEFAULT_USER_ROLE = DEFAULT_USER_ROLE
app.state.config.DEFAULT_GROUP_ID = DEFAULT_GROUP_ID
app.state.config.PENDING_USER_OVERLAY_CONTENT = PENDING_USER_OVERLAY_CONTENT
app.state.config.PENDING_USER_OVERLAY_TITLE = PENDING_USER_OVERLAY_TITLE
@ -767,9 +744,9 @@ app.state.config.RESPONSE_WATERMARK = RESPONSE_WATERMARK
app.state.config.USER_PERMISSIONS = USER_PERMISSIONS
app.state.config.WEBHOOK_URL = WEBHOOK_URL
app.state.config.BANNERS = WEBUI_BANNERS
app.state.config.MODEL_ORDER_LIST = MODEL_ORDER_LIST
app.state.config.ENABLE_FOLDERS = ENABLE_FOLDERS
app.state.config.ENABLE_CHANNELS = ENABLE_CHANNELS
app.state.config.ENABLE_NOTES = ENABLE_NOTES
app.state.config.ENABLE_COMMUNITY_SHARING = ENABLE_COMMUNITY_SHARING
@ -845,9 +822,6 @@ app.state.config.FILE_IMAGE_COMPRESSION_HEIGHT = FILE_IMAGE_COMPRESSION_HEIGHT
app.state.config.RAG_FULL_CONTEXT = RAG_FULL_CONTEXT
app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL = BYPASS_EMBEDDING_AND_RETRIEVAL
app.state.config.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH
app.state.config.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS = (
ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS
)
app.state.config.ENABLE_WEB_LOADER_SSL_VERIFICATION = ENABLE_WEB_LOADER_SSL_VERIFICATION
app.state.config.CONTENT_EXTRACTION_ENGINE = CONTENT_EXTRACTION_ENGINE
@ -868,12 +842,20 @@ app.state.config.EXTERNAL_DOCUMENT_LOADER_URL = EXTERNAL_DOCUMENT_LOADER_URL
app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY = EXTERNAL_DOCUMENT_LOADER_API_KEY
app.state.config.TIKA_SERVER_URL = TIKA_SERVER_URL
app.state.config.DOCLING_SERVER_URL = DOCLING_SERVER_URL
app.state.config.DOCLING_API_KEY = DOCLING_API_KEY
app.state.config.DOCLING_PARAMS = DOCLING_PARAMS
app.state.config.DOCLING_DO_OCR = DOCLING_DO_OCR
app.state.config.DOCLING_FORCE_OCR = DOCLING_FORCE_OCR
app.state.config.DOCLING_OCR_ENGINE = DOCLING_OCR_ENGINE
app.state.config.DOCLING_OCR_LANG = DOCLING_OCR_LANG
app.state.config.DOCLING_PDF_BACKEND = DOCLING_PDF_BACKEND
app.state.config.DOCLING_TABLE_MODE = DOCLING_TABLE_MODE
app.state.config.DOCLING_PIPELINE = DOCLING_PIPELINE
app.state.config.DOCLING_DO_PICTURE_DESCRIPTION = DOCLING_DO_PICTURE_DESCRIPTION
app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE = DOCLING_PICTURE_DESCRIPTION_MODE
app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL = DOCLING_PICTURE_DESCRIPTION_LOCAL
app.state.config.DOCLING_PICTURE_DESCRIPTION_API = DOCLING_PICTURE_DESCRIPTION_API
app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT = DOCUMENT_INTELLIGENCE_ENDPOINT
app.state.config.DOCUMENT_INTELLIGENCE_KEY = DOCUMENT_INTELLIGENCE_KEY
app.state.config.DOCUMENT_INTELLIGENCE_MODEL = DOCUMENT_INTELLIGENCE_MODEL
app.state.config.MISTRAL_OCR_API_BASE_URL = MISTRAL_OCR_API_BASE_URL
app.state.config.MISTRAL_OCR_API_KEY = MISTRAL_OCR_API_KEY
app.state.config.MINERU_API_MODE = MINERU_API_MODE
app.state.config.MINERU_API_URL = MINERU_API_URL
@ -889,7 +871,6 @@ app.state.config.CHUNK_OVERLAP = CHUNK_OVERLAP
app.state.config.RAG_EMBEDDING_ENGINE = RAG_EMBEDDING_ENGINE
app.state.config.RAG_EMBEDDING_MODEL = RAG_EMBEDDING_MODEL
app.state.config.RAG_EMBEDDING_BATCH_SIZE = RAG_EMBEDDING_BATCH_SIZE
app.state.config.ENABLE_ASYNC_EMBEDDING = ENABLE_ASYNC_EMBEDDING
app.state.config.RAG_RERANKING_ENGINE = RAG_RERANKING_ENGINE
app.state.config.RAG_RERANKING_MODEL = RAG_RERANKING_MODEL
@ -959,7 +940,6 @@ app.state.config.EXA_API_KEY = EXA_API_KEY
app.state.config.PERPLEXITY_API_KEY = PERPLEXITY_API_KEY
app.state.config.PERPLEXITY_MODEL = PERPLEXITY_MODEL
app.state.config.PERPLEXITY_SEARCH_CONTEXT_USAGE = PERPLEXITY_SEARCH_CONTEXT_USAGE
app.state.config.PERPLEXITY_SEARCH_API_URL = PERPLEXITY_SEARCH_API_URL
app.state.config.SOUGOU_API_SID = SOUGOU_API_SID
app.state.config.SOUGOU_API_SK = SOUGOU_API_SK
app.state.config.EXTERNAL_WEB_SEARCH_URL = EXTERNAL_WEB_SEARCH_URL
@ -984,7 +964,9 @@ app.state.YOUTUBE_LOADER_TRANSLATION = None
try:
app.state.ef = get_ef(
app.state.config.RAG_EMBEDDING_ENGINE, app.state.config.RAG_EMBEDDING_MODEL
app.state.config.RAG_EMBEDDING_ENGINE,
app.state.config.RAG_EMBEDDING_MODEL,
RAG_EMBEDDING_MODEL_AUTO_UPDATE,
)
if (
app.state.config.ENABLE_RAG_HYBRID_SEARCH
@ -995,6 +977,7 @@ try:
app.state.config.RAG_RERANKING_MODEL,
app.state.config.RAG_EXTERNAL_RERANKER_URL,
app.state.config.RAG_EXTERNAL_RERANKER_API_KEY,
RAG_RERANKING_MODEL_AUTO_UPDATE,
)
else:
app.state.rf = None
@ -1079,42 +1062,27 @@ app.state.config.IMAGE_GENERATION_ENGINE = IMAGE_GENERATION_ENGINE
app.state.config.ENABLE_IMAGE_GENERATION = ENABLE_IMAGE_GENERATION
app.state.config.ENABLE_IMAGE_PROMPT_GENERATION = ENABLE_IMAGE_PROMPT_GENERATION
app.state.config.IMAGE_GENERATION_MODEL = IMAGE_GENERATION_MODEL
app.state.config.IMAGE_SIZE = IMAGE_SIZE
app.state.config.IMAGE_STEPS = IMAGE_STEPS
app.state.config.IMAGES_OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL
app.state.config.IMAGES_OPENAI_API_VERSION = IMAGES_OPENAI_API_VERSION
app.state.config.IMAGES_OPENAI_API_KEY = IMAGES_OPENAI_API_KEY
app.state.config.IMAGES_OPENAI_API_PARAMS = IMAGES_OPENAI_API_PARAMS
app.state.config.IMAGES_GEMINI_API_BASE_URL = IMAGES_GEMINI_API_BASE_URL
app.state.config.IMAGES_GEMINI_API_KEY = IMAGES_GEMINI_API_KEY
app.state.config.IMAGES_GEMINI_ENDPOINT_METHOD = IMAGES_GEMINI_ENDPOINT_METHOD
app.state.config.IMAGE_GENERATION_MODEL = IMAGE_GENERATION_MODEL
app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
app.state.config.AUTOMATIC1111_API_AUTH = AUTOMATIC1111_API_AUTH
app.state.config.AUTOMATIC1111_PARAMS = AUTOMATIC1111_PARAMS
app.state.config.AUTOMATIC1111_CFG_SCALE = AUTOMATIC1111_CFG_SCALE
app.state.config.AUTOMATIC1111_SAMPLER = AUTOMATIC1111_SAMPLER
app.state.config.AUTOMATIC1111_SCHEDULER = AUTOMATIC1111_SCHEDULER
app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL
app.state.config.COMFYUI_API_KEY = COMFYUI_API_KEY
app.state.config.COMFYUI_WORKFLOW = COMFYUI_WORKFLOW
app.state.config.COMFYUI_WORKFLOW_NODES = COMFYUI_WORKFLOW_NODES
app.state.config.ENABLE_IMAGE_EDIT = ENABLE_IMAGE_EDIT
app.state.config.IMAGE_EDIT_ENGINE = IMAGE_EDIT_ENGINE
app.state.config.IMAGE_EDIT_MODEL = IMAGE_EDIT_MODEL
app.state.config.IMAGE_EDIT_SIZE = IMAGE_EDIT_SIZE
app.state.config.IMAGES_EDIT_OPENAI_API_BASE_URL = IMAGES_EDIT_OPENAI_API_BASE_URL
app.state.config.IMAGES_EDIT_OPENAI_API_KEY = IMAGES_EDIT_OPENAI_API_KEY
app.state.config.IMAGES_EDIT_OPENAI_API_VERSION = IMAGES_EDIT_OPENAI_API_VERSION
app.state.config.IMAGES_EDIT_GEMINI_API_BASE_URL = IMAGES_EDIT_GEMINI_API_BASE_URL
app.state.config.IMAGES_EDIT_GEMINI_API_KEY = IMAGES_EDIT_GEMINI_API_KEY
app.state.config.IMAGES_EDIT_COMFYUI_BASE_URL = IMAGES_EDIT_COMFYUI_BASE_URL
app.state.config.IMAGES_EDIT_COMFYUI_API_KEY = IMAGES_EDIT_COMFYUI_API_KEY
app.state.config.IMAGES_EDIT_COMFYUI_WORKFLOW = IMAGES_EDIT_COMFYUI_WORKFLOW
app.state.config.IMAGES_EDIT_COMFYUI_WORKFLOW_NODES = IMAGES_EDIT_COMFYUI_WORKFLOW_NODES
app.state.config.IMAGE_SIZE = IMAGE_SIZE
app.state.config.IMAGE_STEPS = IMAGE_STEPS
########################################
@ -1140,12 +1108,6 @@ app.state.config.AUDIO_STT_AZURE_LOCALES = AUDIO_STT_AZURE_LOCALES
app.state.config.AUDIO_STT_AZURE_BASE_URL = AUDIO_STT_AZURE_BASE_URL
app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS = AUDIO_STT_AZURE_MAX_SPEAKERS
app.state.config.AUDIO_STT_MISTRAL_API_KEY = AUDIO_STT_MISTRAL_API_KEY
app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL = AUDIO_STT_MISTRAL_API_BASE_URL
app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS = (
AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS
)
app.state.config.TTS_ENGINE = AUDIO_TTS_ENGINE
app.state.config.TTS_MODEL = AUDIO_TTS_MODEL
@ -1207,7 +1169,6 @@ app.state.config.AUTOCOMPLETE_GENERATION_PROMPT_TEMPLATE = (
app.state.config.AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH = (
AUTOCOMPLETE_GENERATION_INPUT_MAX_LENGTH
)
app.state.config.VOICE_MODE_PROMPT_TEMPLATE = VOICE_MODE_PROMPT_TEMPLATE
########################################
@ -1216,11 +1177,7 @@ app.state.config.VOICE_MODE_PROMPT_TEMPLATE = VOICE_MODE_PROMPT_TEMPLATE
#
########################################
app.state.MODELS = MODELS
# Add the middleware to the app
if ENABLE_COMPRESSION_MIDDLEWARE:
app.add_middleware(CompressMiddleware)
app.state.MODELS = {}
class RedirectMiddleware(BaseHTTPMiddleware):
@ -1263,53 +1220,14 @@ class RedirectMiddleware(BaseHTTPMiddleware):
return response
# Add the middleware to the app
if ENABLE_COMPRESSION_MIDDLEWARE:
app.add_middleware(CompressMiddleware)
app.add_middleware(RedirectMiddleware)
app.add_middleware(SecurityHeadersMiddleware)
class APIKeyRestrictionMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next):
auth_header = request.headers.get("Authorization")
token = None
if auth_header:
scheme, token = auth_header.split(" ")
# Only apply restrictions if an sk- API key is used
if token and token.startswith("sk-"):
# Check if restrictions are enabled
if request.app.state.config.ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS:
allowed_paths = [
path.strip()
for path in str(
request.app.state.config.API_KEYS_ALLOWED_ENDPOINTS
).split(",")
if path.strip()
]
request_path = request.url.path
# Match exact path or prefix path
is_allowed = any(
request_path == allowed or request_path.startswith(allowed + "/")
for allowed in allowed_paths
)
if not is_allowed:
return JSONResponse(
status_code=status.HTTP_403_FORBIDDEN,
content={
"detail": "API key not allowed to access this endpoint."
},
)
response = await call_next(request)
return response
app.add_middleware(APIKeyRestrictionMiddleware)
@app.middleware("http")
async def commit_session_after_request(request: Request, call_next):
response = await call_next(request)
@ -1325,7 +1243,7 @@ async def check_url(request: Request, call_next):
request.headers.get("Authorization")
)
request.state.enable_api_keys = app.state.config.ENABLE_API_KEYS
request.state.enable_api_key = app.state.config.ENABLE_API_KEY
response = await call_next(request)
process_time = int(time.time()) - start_time
response.headers["X-Process-Time"] = str(process_time)
@ -1400,7 +1318,7 @@ app.include_router(
app.include_router(utils.router, prefix="/api/v1/utils", tags=["utils"])
# SCIM 2.0 API for identity management
if ENABLE_SCIM:
if SCIM_ENABLED:
app.include_router(scim.router, prefix="/api/v1/scim/v2", tags=["scim"])
@ -1437,10 +1355,6 @@ async def get_models(
if "pipeline" in model and model["pipeline"].get("type", None) == "filter":
continue
# Remove profile image URL to reduce payload size
if model.get("info", {}).get("meta", {}).get("profile_image_url"):
model["info"]["meta"].pop("profile_image_url", None)
try:
model_tags = [
tag.get("name")
@ -1563,9 +1477,6 @@ async def chat_completion(
reasoning_tags = form_data.get("params", {}).get("reasoning_tags")
# Model Params
if model_info_params.get("stream_response") is not None:
form_data["stream"] = model_info_params.get("stream_response")
if model_info_params.get("stream_delta_chunk_size"):
stream_delta_chunk_size = model_info_params.get("stream_delta_chunk_size")
@ -1576,7 +1487,6 @@ async def chat_completion(
"user_id": user.id,
"chat_id": form_data.pop("chat_id", None),
"message_id": form_data.pop("id", None),
"parent_message_id": form_data.pop("parent_id", None),
"session_id": form_data.pop("session_id", None),
"filter_ids": form_data.pop("filter_ids", []),
"tool_ids": form_data.get("tool_ids", None),
@ -1633,7 +1543,6 @@ async def chat_completion(
metadata["chat_id"],
metadata["message_id"],
{
"parentId": metadata.get("parent_message_id", None),
"model": model_id,
},
)
@ -1647,15 +1556,11 @@ async def chat_completion(
log.info("Chat processing was cancelled")
try:
event_emitter = get_event_emitter(metadata)
await asyncio.shield(
event_emitter(
{"type": "chat:tasks:cancel"},
)
await event_emitter(
{"type": "chat:tasks:cancel"},
)
except Exception as e:
pass
finally:
raise # re-raise to ensure proper task cancellation handling
except Exception as e:
log.debug(f"Error processing chat payload: {e}")
if metadata.get("chat_id") and metadata.get("message_id"):
@ -1666,7 +1571,6 @@ async def chat_completion(
metadata["chat_id"],
metadata["message_id"],
{
"parentId": metadata.get("parent_message_id", None),
"error": {"content": str(e)},
},
)
@ -1687,7 +1591,7 @@ async def chat_completion(
finally:
try:
if mcp_clients := metadata.get("mcp_clients"):
for client in reversed(mcp_clients.values()):
for client in mcp_clients.values():
await client.disconnect()
except Exception as e:
log.debug(f"Error cleaning up: {e}")
@ -1838,7 +1742,7 @@ async def get_app_config(request: Request):
"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_keys": app.state.config.ENABLE_API_KEYS,
"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,
@ -1846,7 +1750,6 @@ async def get_app_config(request: Request):
**(
{
"enable_direct_connections": app.state.config.ENABLE_DIRECT_CONNECTIONS,
"enable_folders": app.state.config.ENABLE_FOLDERS,
"enable_channels": app.state.config.ENABLE_CHANNELS,
"enable_notes": app.state.config.ENABLE_NOTES,
"enable_web_search": app.state.config.ENABLE_WEB_SEARCH,
@ -1877,7 +1780,6 @@ async def get_app_config(request: Request):
**(
{
"default_models": app.state.config.DEFAULT_MODELS,
"default_pinned_models": app.state.config.DEFAULT_PINNED_MODELS,
"default_prompt_suggestions": app.state.config.DEFAULT_PROMPT_SUGGESTIONS,
"user_count": user_count,
"code": {
@ -1979,7 +1881,6 @@ async def update_webhook_url(form_data: UrlForm, user=Depends(get_admin_user)):
async def get_app_version():
return {
"version": VERSION,
"deployment_id": DEPLOYMENT_ID,
}
@ -2019,10 +1920,7 @@ async def get_current_usage(user=Depends(get_verified_user)):
This is an experimental endpoint and subject to change.
"""
try:
return {
"model_ids": get_models_in_use(),
"user_count": Users.get_active_user_count(),
}
return {"model_ids": get_models_in_use(), "user_ids": get_active_user_ids()}
except Exception as e:
log.error(f"Error getting usage statistics: {e}")
raise HTTPException(status_code=500, detail="Internal Server Error")
@ -2039,7 +1937,6 @@ if len(app.state.config.TOOL_SERVER_CONNECTIONS) > 0:
if tool_server_connection.get("type", "openapi") == "mcp":
server_id = tool_server_connection.get("info", {}).get("id")
auth_type = tool_server_connection.get("auth_type", "none")
if server_id and auth_type == "oauth_2.1":
oauth_client_info = tool_server_connection.get("info", {}).get(
"oauth_client_info", ""
@ -2085,64 +1982,6 @@ except Exception as e:
)
async def register_client(request, client_id: str) -> bool:
server_type, server_id = client_id.split(":", 1)
connection = None
connection_idx = None
for idx, conn in enumerate(request.app.state.config.TOOL_SERVER_CONNECTIONS or []):
if conn.get("type", "openapi") == server_type:
info = conn.get("info", {})
if info.get("id") == server_id:
connection = conn
connection_idx = idx
break
if connection is None or connection_idx is None:
log.warning(
f"Unable to locate MCP tool server configuration for client {client_id} during re-registration"
)
return False
server_url = connection.get("url")
oauth_server_key = (connection.get("config") or {}).get("oauth_server_key")
try:
oauth_client_info = (
await get_oauth_client_info_with_dynamic_client_registration(
request,
client_id,
server_url,
oauth_server_key,
)
)
except Exception as e:
log.error(f"Dynamic client re-registration failed for {client_id}: {e}")
return False
try:
request.app.state.config.TOOL_SERVER_CONNECTIONS[connection_idx] = {
**connection,
"info": {
**connection.get("info", {}),
"oauth_client_info": encrypt_data(
oauth_client_info.model_dump(mode="json")
),
},
}
except Exception as e:
log.error(
f"Failed to persist updated OAuth client info for tool server {client_id}: {e}"
)
return False
oauth_client_manager.remove_client(client_id)
oauth_client_manager.add_client(client_id, oauth_client_info)
log.info(f"Re-registered OAuth client {client_id} for tool server")
return True
@app.get("/oauth/clients/{client_id}/authorize")
async def oauth_client_authorize(
client_id: str,
@ -2150,41 +1989,6 @@ async def oauth_client_authorize(
response: Response,
user=Depends(get_verified_user),
):
# ensure_valid_client_registration
client = oauth_client_manager.get_client(client_id)
client_info = oauth_client_manager.get_client_info(client_id)
if client is None or client_info is None:
raise HTTPException(status.HTTP_404_NOT_FOUND)
if not await oauth_client_manager._preflight_authorization_url(client, client_info):
log.info(
"Detected invalid OAuth client %s; attempting re-registration",
client_id,
)
registered = await register_client(request, client_id)
if not registered:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to re-register OAuth client",
)
client = oauth_client_manager.get_client(client_id)
client_info = oauth_client_manager.get_client_info(client_id)
if client is None or client_info is None:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="OAuth client unavailable after re-registration",
)
if not await oauth_client_manager._preflight_authorization_url(
client, client_info
):
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="OAuth client registration is still invalid after re-registration",
)
return await oauth_client_manager.handle_authorize(request, client_id=client_id)

View file

@ -1,103 +0,0 @@
"""Update messages and channel member table
Revision ID: 2f1211949ecc
Revises: 37f288994c47
Create Date: 2025-11-27 03:07:56.200231
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
import open_webui.internal.db
# revision identifiers, used by Alembic.
revision: str = "2f1211949ecc"
down_revision: Union[str, None] = "37f288994c47"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# New columns to be added to channel_member table
op.add_column("channel_member", sa.Column("status", sa.Text(), nullable=True))
op.add_column(
"channel_member",
sa.Column(
"is_active",
sa.Boolean(),
nullable=False,
default=True,
server_default=sa.sql.expression.true(),
),
)
op.add_column(
"channel_member",
sa.Column(
"is_channel_muted",
sa.Boolean(),
nullable=False,
default=False,
server_default=sa.sql.expression.false(),
),
)
op.add_column(
"channel_member",
sa.Column(
"is_channel_pinned",
sa.Boolean(),
nullable=False,
default=False,
server_default=sa.sql.expression.false(),
),
)
op.add_column("channel_member", sa.Column("data", sa.JSON(), nullable=True))
op.add_column("channel_member", sa.Column("meta", sa.JSON(), nullable=True))
op.add_column(
"channel_member", sa.Column("joined_at", sa.BigInteger(), nullable=False)
)
op.add_column(
"channel_member", sa.Column("left_at", sa.BigInteger(), nullable=True)
)
op.add_column(
"channel_member", sa.Column("last_read_at", sa.BigInteger(), nullable=True)
)
op.add_column(
"channel_member", sa.Column("updated_at", sa.BigInteger(), nullable=True)
)
# New columns to be added to message table
op.add_column(
"message",
sa.Column(
"is_pinned",
sa.Boolean(),
nullable=False,
default=False,
server_default=sa.sql.expression.false(),
),
)
op.add_column("message", sa.Column("pinned_at", sa.BigInteger(), nullable=True))
op.add_column("message", sa.Column("pinned_by", sa.Text(), nullable=True))
def downgrade() -> None:
op.drop_column("channel_member", "updated_at")
op.drop_column("channel_member", "last_read_at")
op.drop_column("channel_member", "meta")
op.drop_column("channel_member", "data")
op.drop_column("channel_member", "is_channel_pinned")
op.drop_column("channel_member", "is_channel_muted")
op.drop_column("message", "pinned_by")
op.drop_column("message", "pinned_at")
op.drop_column("message", "is_pinned")

View file

@ -1,146 +0,0 @@
"""add_group_member_table
Revision ID: 37f288994c47
Revises: a5c220713937
Create Date: 2025-11-17 03:45:25.123939
"""
import uuid
import time
import json
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = "37f288994c47"
down_revision: Union[str, None] = "a5c220713937"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# 1. Create new table
op.create_table(
"group_member",
sa.Column("id", sa.Text(), primary_key=True, unique=True, nullable=False),
sa.Column(
"group_id",
sa.Text(),
sa.ForeignKey("group.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"user_id",
sa.Text(),
sa.ForeignKey("user.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column("created_at", sa.BigInteger(), nullable=True),
sa.Column("updated_at", sa.BigInteger(), nullable=True),
sa.UniqueConstraint("group_id", "user_id", name="uq_group_member_group_user"),
)
connection = op.get_bind()
# 2. Read existing group with user_ids JSON column
group_table = sa.Table(
"group",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("user_ids", sa.JSON()), # JSON stored as text in SQLite + PG
)
results = connection.execute(
sa.select(group_table.c.id, group_table.c.user_ids)
).fetchall()
print(results)
# 3. Insert members into group_member table
gm_table = sa.Table(
"group_member",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("group_id", sa.Text()),
sa.Column("user_id", sa.Text()),
sa.Column("created_at", sa.BigInteger()),
sa.Column("updated_at", sa.BigInteger()),
)
now = int(time.time())
for group_id, user_ids in results:
if not user_ids:
continue
if isinstance(user_ids, str):
try:
user_ids = json.loads(user_ids)
except Exception:
continue # skip invalid JSON
if not isinstance(user_ids, list):
continue
rows = [
{
"id": str(uuid.uuid4()),
"group_id": group_id,
"user_id": uid,
"created_at": now,
"updated_at": now,
}
for uid in user_ids
]
if rows:
connection.execute(gm_table.insert(), rows)
# 4. Optionally drop the old column
with op.batch_alter_table("group") as batch:
batch.drop_column("user_ids")
def downgrade():
# Reverse: restore user_ids column
with op.batch_alter_table("group") as batch:
batch.add_column(sa.Column("user_ids", sa.JSON()))
connection = op.get_bind()
gm_table = sa.Table(
"group_member",
sa.MetaData(),
sa.Column("group_id", sa.Text()),
sa.Column("user_id", sa.Text()),
sa.Column("created_at", sa.BigInteger()),
sa.Column("updated_at", sa.BigInteger()),
)
group_table = sa.Table(
"group",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("user_ids", sa.JSON()),
)
# Build JSON arrays again
results = connection.execute(sa.select(group_table.c.id)).fetchall()
for (group_id,) in results:
members = connection.execute(
sa.select(gm_table.c.user_id).where(gm_table.c.group_id == group_id)
).fetchall()
member_ids = [m[0] for m in members]
connection.execute(
group_table.update()
.where(group_table.c.id == group_id)
.values(user_ids=member_ids)
)
# Drop the new table
op.drop_table("group_member")

View file

@ -20,46 +20,18 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# Ensure 'id' column in 'user' table is unique and primary key (ForeignKey constraint)
inspector = sa.inspect(op.get_bind())
columns = inspector.get_columns("user")
pk_columns = inspector.get_pk_constraint("user")["constrained_columns"]
id_column = next((col for col in columns if col["name"] == "id"), None)
if id_column and not id_column.get("unique", False):
unique_constraints = inspector.get_unique_constraints("user")
unique_columns = {tuple(u["column_names"]) for u in unique_constraints}
with op.batch_alter_table("user") as batch_op:
# If primary key is wrong, drop it
if pk_columns and pk_columns != ["id"]:
batch_op.drop_constraint(
inspector.get_pk_constraint("user")["name"], type_="primary"
)
# Add unique constraint if missing
if ("id",) not in unique_columns:
batch_op.create_unique_constraint("uq_user_id", ["id"])
# Re-create correct primary key
batch_op.create_primary_key("pk_user_id", ["id"])
# Create oauth_session table
op.create_table(
"oauth_session",
sa.Column("id", sa.Text(), primary_key=True, nullable=False, unique=True),
sa.Column(
"user_id",
sa.Text(),
sa.ForeignKey("user.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column("id", sa.Text(), nullable=False),
sa.Column("user_id", sa.Text(), nullable=False),
sa.Column("provider", sa.Text(), nullable=False),
sa.Column("token", sa.Text(), nullable=False),
sa.Column("expires_at", sa.BigInteger(), nullable=False),
sa.Column("created_at", sa.BigInteger(), nullable=False),
sa.Column("updated_at", sa.BigInteger(), nullable=False),
sa.PrimaryKeyConstraint("id"),
sa.ForeignKeyConstraint(["user_id"], ["user.id"], ondelete="CASCADE"),
)
# Create indexes for better performance

View file

@ -1,169 +0,0 @@
"""Add knowledge_file table
Revision ID: 3e0e00844bb0
Revises: 90ef40d4714e
Create Date: 2025-12-02 06:54:19.401334
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
from sqlalchemy import inspect
import open_webui.internal.db
import time
import json
import uuid
# revision identifiers, used by Alembic.
revision: str = "3e0e00844bb0"
down_revision: Union[str, None] = "90ef40d4714e"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
op.create_table(
"knowledge_file",
sa.Column("id", sa.Text(), primary_key=True),
sa.Column("user_id", sa.Text(), nullable=False),
sa.Column(
"knowledge_id",
sa.Text(),
sa.ForeignKey("knowledge.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"file_id",
sa.Text(),
sa.ForeignKey("file.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column("created_at", sa.BigInteger(), nullable=False),
sa.Column("updated_at", sa.BigInteger(), nullable=False),
# indexes
sa.Index("ix_knowledge_file_knowledge_id", "knowledge_id"),
sa.Index("ix_knowledge_file_file_id", "file_id"),
sa.Index("ix_knowledge_file_user_id", "user_id"),
# unique constraints
sa.UniqueConstraint(
"knowledge_id", "file_id", name="uq_knowledge_file_knowledge_file"
), # prevent duplicate entries
)
connection = op.get_bind()
# 2. Read existing group with user_ids JSON column
knowledge_table = sa.Table(
"knowledge",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("user_id", sa.Text()),
sa.Column("data", sa.JSON()), # JSON stored as text in SQLite + PG
)
results = connection.execute(
sa.select(
knowledge_table.c.id, knowledge_table.c.user_id, knowledge_table.c.data
)
).fetchall()
# 3. Insert members into group_member table
kf_table = sa.Table(
"knowledge_file",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("user_id", sa.Text()),
sa.Column("knowledge_id", sa.Text()),
sa.Column("file_id", sa.Text()),
sa.Column("created_at", sa.BigInteger()),
sa.Column("updated_at", sa.BigInteger()),
)
file_table = sa.Table(
"file",
sa.MetaData(),
sa.Column("id", sa.Text()),
)
now = int(time.time())
for knowledge_id, user_id, data in results:
if not data:
continue
if isinstance(data, str):
try:
data = json.loads(data)
except Exception:
continue # skip invalid JSON
if not isinstance(data, dict):
continue
file_ids = data.get("file_ids", [])
for file_id in file_ids:
file_exists = connection.execute(
sa.select(file_table.c.id).where(file_table.c.id == file_id)
).fetchone()
if not file_exists:
continue # skip non-existing files
row = {
"id": str(uuid.uuid4()),
"user_id": user_id,
"knowledge_id": knowledge_id,
"file_id": file_id,
"created_at": now,
"updated_at": now,
}
connection.execute(kf_table.insert().values(**row))
with op.batch_alter_table("knowledge") as batch:
batch.drop_column("data")
def downgrade() -> None:
# 1. Add back the old data column
op.add_column("knowledge", sa.Column("data", sa.JSON(), nullable=True))
connection = op.get_bind()
# 2. Read knowledge_file entries and reconstruct data JSON
knowledge_table = sa.Table(
"knowledge",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("data", sa.JSON()),
)
kf_table = sa.Table(
"knowledge_file",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("knowledge_id", sa.Text()),
sa.Column("file_id", sa.Text()),
)
results = connection.execute(sa.select(knowledge_table.c.id)).fetchall()
for (knowledge_id,) in results:
file_ids = connection.execute(
sa.select(kf_table.c.file_id).where(kf_table.c.knowledge_id == knowledge_id)
).fetchall()
file_ids_list = [fid for (fid,) in file_ids]
data_json = {"file_ids": file_ids_list}
connection.execute(
knowledge_table.update()
.where(knowledge_table.c.id == knowledge_id)
.values(data=data_json)
)
# 3. Drop the knowledge_file table
op.drop_table("knowledge_file")

View file

@ -1,81 +0,0 @@
"""Update channel and channel members table
Revision ID: 90ef40d4714e
Revises: b10670c03dd5
Create Date: 2025-11-30 06:33:38.790341
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
import open_webui.internal.db
# revision identifiers, used by Alembic.
revision: str = "90ef40d4714e"
down_revision: Union[str, None] = "b10670c03dd5"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# Update 'channel' table
op.add_column("channel", sa.Column("is_private", sa.Boolean(), nullable=True))
op.add_column("channel", sa.Column("archived_at", sa.BigInteger(), nullable=True))
op.add_column("channel", sa.Column("archived_by", sa.Text(), nullable=True))
op.add_column("channel", sa.Column("deleted_at", sa.BigInteger(), nullable=True))
op.add_column("channel", sa.Column("deleted_by", sa.Text(), nullable=True))
op.add_column("channel", sa.Column("updated_by", sa.Text(), nullable=True))
# Update 'channel_member' table
op.add_column("channel_member", sa.Column("role", sa.Text(), nullable=True))
op.add_column("channel_member", sa.Column("invited_by", sa.Text(), nullable=True))
op.add_column(
"channel_member", sa.Column("invited_at", sa.BigInteger(), nullable=True)
)
# Create 'channel_webhook' table
op.create_table(
"channel_webhook",
sa.Column("id", sa.Text(), primary_key=True, unique=True, nullable=False),
sa.Column("user_id", sa.Text(), nullable=False),
sa.Column(
"channel_id",
sa.Text(),
sa.ForeignKey("channel.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column("name", sa.Text(), nullable=False),
sa.Column("profile_image_url", sa.Text(), nullable=True),
sa.Column("token", sa.Text(), nullable=False),
sa.Column("last_used_at", sa.BigInteger(), nullable=True),
sa.Column("created_at", sa.BigInteger(), nullable=False),
sa.Column("updated_at", sa.BigInteger(), nullable=False),
)
pass
def downgrade() -> None:
# Downgrade 'channel' table
op.drop_column("channel", "is_private")
op.drop_column("channel", "archived_at")
op.drop_column("channel", "archived_by")
op.drop_column("channel", "deleted_at")
op.drop_column("channel", "deleted_by")
op.drop_column("channel", "updated_by")
# Downgrade 'channel_member' table
op.drop_column("channel_member", "role")
op.drop_column("channel_member", "invited_by")
op.drop_column("channel_member", "invited_at")
# Drop 'channel_webhook' table
op.drop_table("channel_webhook")
pass

View file

@ -1,251 +0,0 @@
"""Update user table
Revision ID: b10670c03dd5
Revises: 2f1211949ecc
Create Date: 2025-11-28 04:55:31.737538
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
import open_webui.internal.db
import json
import time
# revision identifiers, used by Alembic.
revision: str = "b10670c03dd5"
down_revision: Union[str, None] = "2f1211949ecc"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def _drop_sqlite_indexes_for_column(table_name, column_name, conn):
"""
SQLite requires manual removal of any indexes referencing a column
before ALTER TABLE ... DROP COLUMN can succeed.
"""
indexes = conn.execute(sa.text(f"PRAGMA index_list('{table_name}')")).fetchall()
for idx in indexes:
index_name = idx[1] # index name
# Get indexed columns
idx_info = conn.execute(
sa.text(f"PRAGMA index_info('{index_name}')")
).fetchall()
indexed_cols = [row[2] for row in idx_info] # col names
if column_name in indexed_cols:
conn.execute(sa.text(f"DROP INDEX IF EXISTS {index_name}"))
def _convert_column_to_json(table: str, column: str):
conn = op.get_bind()
dialect = conn.dialect.name
# SQLite cannot ALTER COLUMN → must recreate column
if dialect == "sqlite":
# 1. Add temporary column
op.add_column(table, sa.Column(f"{column}_json", sa.JSON(), nullable=True))
# 2. Load old data
rows = conn.execute(sa.text(f'SELECT id, {column} FROM "{table}"')).fetchall()
for row in rows:
uid, raw = row
if raw is None:
parsed = None
else:
try:
parsed = json.loads(raw)
except Exception:
parsed = None # fallback safe behavior
conn.execute(
sa.text(f'UPDATE "{table}" SET {column}_json = :val WHERE id = :id'),
{"val": json.dumps(parsed) if parsed else None, "id": uid},
)
# 3. Drop old TEXT column
op.drop_column(table, column)
# 4. Rename new JSON column → original name
op.alter_column(table, f"{column}_json", new_column_name=column)
else:
# PostgreSQL supports direct CAST
op.alter_column(
table,
column,
type_=sa.JSON(),
postgresql_using=f"{column}::json",
)
def _convert_column_to_text(table: str, column: str):
conn = op.get_bind()
dialect = conn.dialect.name
if dialect == "sqlite":
op.add_column(table, sa.Column(f"{column}_text", sa.Text(), nullable=True))
rows = conn.execute(sa.text(f'SELECT id, {column} FROM "{table}"')).fetchall()
for uid, raw in rows:
conn.execute(
sa.text(f'UPDATE "{table}" SET {column}_text = :val WHERE id = :id'),
{"val": json.dumps(raw) if raw else None, "id": uid},
)
op.drop_column(table, column)
op.alter_column(table, f"{column}_text", new_column_name=column)
else:
op.alter_column(
table,
column,
type_=sa.Text(),
postgresql_using=f"to_json({column})::text",
)
def upgrade() -> None:
op.add_column(
"user", sa.Column("profile_banner_image_url", sa.Text(), nullable=True)
)
op.add_column("user", sa.Column("timezone", sa.String(), nullable=True))
op.add_column("user", sa.Column("presence_state", sa.String(), nullable=True))
op.add_column("user", sa.Column("status_emoji", sa.String(), nullable=True))
op.add_column("user", sa.Column("status_message", sa.Text(), nullable=True))
op.add_column(
"user", sa.Column("status_expires_at", sa.BigInteger(), nullable=True)
)
op.add_column("user", sa.Column("oauth", sa.JSON(), nullable=True))
# Convert info (TEXT/JSONField) → JSON
_convert_column_to_json("user", "info")
# Convert settings (TEXT/JSONField) → JSON
_convert_column_to_json("user", "settings")
op.create_table(
"api_key",
sa.Column("id", sa.Text(), primary_key=True, unique=True),
sa.Column("user_id", sa.Text(), sa.ForeignKey("user.id", ondelete="CASCADE")),
sa.Column("key", sa.Text(), unique=True, nullable=False),
sa.Column("data", sa.JSON(), nullable=True),
sa.Column("expires_at", sa.BigInteger(), nullable=True),
sa.Column("last_used_at", sa.BigInteger(), nullable=True),
sa.Column("created_at", sa.BigInteger(), nullable=False),
sa.Column("updated_at", sa.BigInteger(), nullable=False),
)
conn = op.get_bind()
users = conn.execute(
sa.text('SELECT id, oauth_sub FROM "user" WHERE oauth_sub IS NOT NULL')
).fetchall()
for uid, oauth_sub in users:
if oauth_sub:
# Example formats supported:
# provider@sub
# plain sub (stored as {"oidc": {"sub": sub}})
if "@" in oauth_sub:
provider, sub = oauth_sub.split("@", 1)
else:
provider, sub = "oidc", oauth_sub
oauth_json = json.dumps({provider: {"sub": sub}})
conn.execute(
sa.text('UPDATE "user" SET oauth = :oauth WHERE id = :id'),
{"oauth": oauth_json, "id": uid},
)
users_with_keys = conn.execute(
sa.text('SELECT id, api_key FROM "user" WHERE api_key IS NOT NULL')
).fetchall()
now = int(time.time())
for uid, api_key in users_with_keys:
if api_key:
conn.execute(
sa.text(
"""
INSERT INTO api_key (id, user_id, key, created_at, updated_at)
VALUES (:id, :user_id, :key, :created_at, :updated_at)
"""
),
{
"id": f"key_{uid}",
"user_id": uid,
"key": api_key,
"created_at": now,
"updated_at": now,
},
)
if conn.dialect.name == "sqlite":
_drop_sqlite_indexes_for_column("user", "api_key", conn)
_drop_sqlite_indexes_for_column("user", "oauth_sub", conn)
with op.batch_alter_table("user") as batch_op:
batch_op.drop_column("api_key")
batch_op.drop_column("oauth_sub")
def downgrade() -> None:
# --- 1. Restore old oauth_sub column ---
op.add_column("user", sa.Column("oauth_sub", sa.Text(), nullable=True))
conn = op.get_bind()
users = conn.execute(
sa.text('SELECT id, oauth FROM "user" WHERE oauth IS NOT NULL')
).fetchall()
for uid, oauth in users:
try:
data = json.loads(oauth)
provider = list(data.keys())[0]
sub = data[provider].get("sub")
oauth_sub = f"{provider}@{sub}"
except Exception:
oauth_sub = None
conn.execute(
sa.text('UPDATE "user" SET oauth_sub = :oauth_sub WHERE id = :id'),
{"oauth_sub": oauth_sub, "id": uid},
)
op.drop_column("user", "oauth")
# --- 2. Restore api_key field ---
op.add_column("user", sa.Column("api_key", sa.String(), nullable=True))
# Restore values from api_key
keys = conn.execute(sa.text("SELECT user_id, key FROM api_key")).fetchall()
for uid, key in keys:
conn.execute(
sa.text('UPDATE "user" SET api_key = :key WHERE id = :id'),
{"key": key, "id": uid},
)
# Drop new table
op.drop_table("api_key")
with op.batch_alter_table("user") as batch_op:
batch_op.drop_column("profile_banner_image_url")
batch_op.drop_column("timezone")
batch_op.drop_column("presence_state")
batch_op.drop_column("status_emoji")
batch_op.drop_column("status_message")
batch_op.drop_column("status_expires_at")
# Convert info (JSON) → TEXT
_convert_column_to_text("user", "info")
# Convert settings (JSON) → TEXT
_convert_column_to_text("user", "settings")

View file

@ -3,10 +3,11 @@ import uuid
from typing import Optional
from open_webui.internal.db import Base, get_db
from open_webui.models.users import UserModel, UserProfileImageResponse, Users
from open_webui.models.users import UserModel, Users
from open_webui.env import SRC_LOG_LEVELS
from pydantic import BaseModel
from sqlalchemy import Boolean, Column, String, Text
from open_webui.utils.auth import verify_password
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["MODELS"])
@ -19,7 +20,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class Auth(Base):
__tablename__ = "auth"
id = Column(String, primary_key=True, unique=True)
id = Column(String, primary_key=True)
email = Column(String)
password = Column(Text)
active = Column(Boolean)
@ -46,7 +47,15 @@ class ApiKey(BaseModel):
api_key: Optional[str] = None
class SigninResponse(Token, UserProfileImageResponse):
class UserResponse(BaseModel):
id: str
email: str
name: str
role: str
profile_image_url: str
class SigninResponse(Token, UserResponse):
pass
@ -88,7 +97,7 @@ class AuthsTable:
name: str,
profile_image_url: str = "/user.png",
role: str = "pending",
oauth: Optional[dict] = None,
oauth_sub: Optional[str] = None,
) -> Optional[UserModel]:
with get_db() as db:
log.info("insert_new_auth")
@ -102,7 +111,7 @@ class AuthsTable:
db.add(result)
user = Users.insert_new_user(
id, name, email, profile_image_url, role, oauth=oauth
id, name, email, profile_image_url, role, oauth_sub
)
db.commit()
@ -113,9 +122,7 @@ class AuthsTable:
else:
return None
def authenticate_user(
self, email: str, verify_password: callable
) -> Optional[UserModel]:
def authenticate_user(self, email: str, password: str) -> Optional[UserModel]:
log.info(f"authenticate_user: {email}")
user = Users.get_user_by_email(email)
@ -126,7 +133,7 @@ class AuthsTable:
with get_db() as db:
auth = db.query(Auth).filter_by(id=user.id, active=True).first()
if auth:
if verify_password(auth.password):
if verify_password(password, auth.password):
return user
else:
return None

View file

@ -4,13 +4,10 @@ import uuid
from typing import Optional
from open_webui.internal.db import Base, get_db
from open_webui.models.groups import Groups
from open_webui.utils.access_control import has_access
from pydantic import BaseModel, ConfigDict
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy import BigInteger, Boolean, Column, String, Text, JSON, case, cast
from sqlalchemy import BigInteger, Boolean, Column, String, Text, JSON
from sqlalchemy import or_, func, select, and_, text
from sqlalchemy.sql import exists
@ -22,30 +19,19 @@ from sqlalchemy.sql import exists
class Channel(Base):
__tablename__ = "channel"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
user_id = Column(Text)
type = Column(Text, nullable=True)
name = Column(Text)
description = Column(Text, nullable=True)
# Used to indicate if the channel is private (for 'group' type channels)
is_private = Column(Boolean, nullable=True)
data = Column(JSON, nullable=True)
meta = Column(JSON, nullable=True)
access_control = Column(JSON, nullable=True)
created_at = Column(BigInteger)
updated_at = Column(BigInteger)
updated_by = Column(Text, nullable=True)
archived_at = Column(BigInteger, nullable=True)
archived_by = Column(Text, nullable=True)
deleted_at = Column(BigInteger, nullable=True)
deleted_by = Column(Text, nullable=True)
class ChannelModel(BaseModel):
@ -53,122 +39,17 @@ class ChannelModel(BaseModel):
id: str
user_id: str
type: Optional[str] = None
name: str
description: Optional[str] = None
is_private: Optional[bool] = None
data: Optional[dict] = None
meta: Optional[dict] = None
access_control: Optional[dict] = None
created_at: int # timestamp in epoch (time_ns)
updated_at: int # timestamp in epoch (time_ns)
updated_by: Optional[str] = None
archived_at: Optional[int] = None # timestamp in epoch (time_ns)
archived_by: Optional[str] = None
deleted_at: Optional[int] = None # timestamp in epoch (time_ns)
deleted_by: Optional[str] = None
class ChannelMember(Base):
__tablename__ = "channel_member"
id = Column(Text, primary_key=True, unique=True)
channel_id = Column(Text, nullable=False)
user_id = Column(Text, nullable=False)
role = Column(Text, nullable=True)
status = Column(Text, nullable=True)
is_active = Column(Boolean, nullable=False, default=True)
is_channel_muted = Column(Boolean, nullable=False, default=False)
is_channel_pinned = Column(Boolean, nullable=False, default=False)
data = Column(JSON, nullable=True)
meta = Column(JSON, nullable=True)
invited_at = Column(BigInteger, nullable=True)
invited_by = Column(Text, nullable=True)
joined_at = Column(BigInteger)
left_at = Column(BigInteger, nullable=True)
last_read_at = Column(BigInteger, nullable=True)
created_at = Column(BigInteger)
updated_at = Column(BigInteger)
class ChannelMemberModel(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: str
channel_id: str
user_id: str
role: Optional[str] = None
status: Optional[str] = None
is_active: bool = True
is_channel_muted: bool = False
is_channel_pinned: bool = False
data: Optional[dict] = None
meta: Optional[dict] = None
invited_at: Optional[int] = None # timestamp in epoch (time_ns)
invited_by: Optional[str] = None
joined_at: Optional[int] = None # timestamp in epoch (time_ns)
left_at: Optional[int] = None # timestamp in epoch (time_ns)
last_read_at: Optional[int] = None # timestamp in epoch (time_ns)
created_at: Optional[int] = None # timestamp in epoch (time_ns)
updated_at: Optional[int] = None # timestamp in epoch (time_ns)
class ChannelWebhook(Base):
__tablename__ = "channel_webhook"
id = Column(Text, primary_key=True, unique=True)
channel_id = Column(Text, nullable=False)
user_id = Column(Text, nullable=False)
name = Column(Text, nullable=False)
profile_image_url = Column(Text, nullable=True)
token = Column(Text, nullable=False)
last_used_at = Column(BigInteger, nullable=True)
created_at = Column(BigInteger, nullable=False)
updated_at = Column(BigInteger, nullable=False)
class ChannelWebhookModel(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: str
channel_id: str
user_id: str
name: str
profile_image_url: Optional[str] = None
token: str
last_used_at: Optional[int] = None # timestamp in epoch (time_ns)
created_at: int # timestamp in epoch (time_ns)
updated_at: int # timestamp in epoch (time_ns)
created_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
####################
@ -177,94 +58,26 @@ class ChannelWebhookModel(BaseModel):
class ChannelResponse(ChannelModel):
is_manager: bool = False
write_access: bool = False
user_count: Optional[int] = None
class ChannelForm(BaseModel):
name: str = ""
name: str
description: Optional[str] = None
is_private: Optional[bool] = None
data: Optional[dict] = None
meta: Optional[dict] = None
access_control: Optional[dict] = None
group_ids: Optional[list[str]] = None
user_ids: Optional[list[str]] = None
class CreateChannelForm(ChannelForm):
type: Optional[str] = None
class ChannelTable:
def _collect_unique_user_ids(
self,
invited_by: str,
user_ids: Optional[list[str]] = None,
group_ids: Optional[list[str]] = None,
) -> set[str]:
"""
Collect unique user ids from:
- invited_by
- user_ids
- each group in group_ids
Returns a set for efficient SQL diffing.
"""
users = set(user_ids or [])
users.add(invited_by)
for group_id in group_ids or []:
users.update(Groups.get_group_user_ids_by_id(group_id))
return users
def _create_membership_models(
self,
channel_id: str,
invited_by: str,
user_ids: set[str],
) -> list[ChannelMember]:
"""
Takes a set of NEW user IDs (already filtered to exclude existing members).
Returns ORM ChannelMember objects to be added.
"""
now = int(time.time_ns())
memberships = []
for uid in user_ids:
model = ChannelMemberModel(
**{
"id": str(uuid.uuid4()),
"channel_id": channel_id,
"user_id": uid,
"status": "joined",
"is_active": True,
"is_channel_muted": False,
"is_channel_pinned": False,
"invited_at": now,
"invited_by": invited_by,
"joined_at": now,
"left_at": None,
"last_read_at": now,
"created_at": now,
"updated_at": now,
}
)
memberships.append(ChannelMember(**model.model_dump()))
return memberships
def insert_new_channel(
self, form_data: CreateChannelForm, user_id: str
self, type: Optional[str], form_data: ChannelForm, user_id: str
) -> Optional[ChannelModel]:
with get_db() as db:
channel = ChannelModel(
**{
**form_data.model_dump(),
"type": form_data.type if form_data.type else None,
"type": type,
"name": form_data.name.lower(),
"id": str(uuid.uuid4()),
"user_id": user_id,
@ -272,21 +85,9 @@ class ChannelTable:
"updated_at": int(time.time_ns()),
}
)
new_channel = Channel(**channel.model_dump())
if form_data.type in ["group", "dm"]:
users = self._collect_unique_user_ids(
invited_by=user_id,
user_ids=form_data.user_ids,
group_ids=form_data.group_ids,
)
memberships = self._create_membership_models(
channel_id=new_channel.id,
invited_by=user_id,
user_ids=users,
)
db.add_all(memberships)
db.add(new_channel)
db.commit()
return channel
@ -296,346 +97,16 @@ class ChannelTable:
channels = db.query(Channel).all()
return [ChannelModel.model_validate(channel) for channel in channels]
def _has_permission(self, db, query, filter: dict, permission: str = "read"):
group_ids = filter.get("group_ids", [])
user_id = filter.get("user_id")
dialect_name = db.bind.dialect.name
# Public access
conditions = []
if group_ids or user_id:
conditions.extend(
[
Channel.access_control.is_(None),
cast(Channel.access_control, String) == "null",
]
)
# User-level permission
if user_id:
conditions.append(Channel.user_id == user_id)
# Group-level permission
if group_ids:
group_conditions = []
for gid in group_ids:
if dialect_name == "sqlite":
group_conditions.append(
Channel.access_control[permission]["group_ids"].contains([gid])
)
elif dialect_name == "postgresql":
group_conditions.append(
cast(
Channel.access_control[permission]["group_ids"],
JSONB,
).contains([gid])
)
conditions.append(or_(*group_conditions))
if conditions:
query = query.filter(or_(*conditions))
return query
def get_channels_by_user_id(self, user_id: str) -> list[ChannelModel]:
with get_db() as db:
user_group_ids = [
group.id for group in Groups.get_groups_by_member_id(user_id)
]
membership_channels = (
db.query(Channel)
.join(ChannelMember, Channel.id == ChannelMember.channel_id)
.filter(
Channel.deleted_at.is_(None),
Channel.archived_at.is_(None),
Channel.type.in_(["group", "dm"]),
ChannelMember.user_id == user_id,
ChannelMember.is_active.is_(True),
)
.all()
)
query = db.query(Channel).filter(
Channel.deleted_at.is_(None),
Channel.archived_at.is_(None),
or_(
Channel.type.is_(None), # True NULL/None
Channel.type == "", # Empty string
and_(Channel.type != "group", Channel.type != "dm"),
),
)
query = self._has_permission(
db, query, {"user_id": user_id, "group_ids": user_group_ids}
)
standard_channels = query.all()
all_channels = membership_channels + standard_channels
return [ChannelModel.model_validate(c) for c in all_channels]
def get_dm_channel_by_user_ids(self, user_ids: list[str]) -> Optional[ChannelModel]:
with get_db() as db:
# Ensure uniqueness in case a list with duplicates is passed
unique_user_ids = list(set(user_ids))
match_count = func.sum(
case(
(ChannelMember.user_id.in_(unique_user_ids), 1),
else_=0,
)
)
subquery = (
db.query(ChannelMember.channel_id)
.group_by(ChannelMember.channel_id)
# 1. Channel must have exactly len(user_ids) members
.having(func.count(ChannelMember.user_id) == len(unique_user_ids))
# 2. All those members must be in unique_user_ids
.having(match_count == len(unique_user_ids))
.subquery()
)
channel = (
db.query(Channel)
.filter(
Channel.id.in_(subquery),
Channel.type == "dm",
)
.first()
)
return ChannelModel.model_validate(channel) if channel else None
def add_members_to_channel(
self,
channel_id: str,
invited_by: str,
user_ids: Optional[list[str]] = None,
group_ids: Optional[list[str]] = None,
) -> list[ChannelMemberModel]:
with get_db() as db:
# 1. Collect all user_ids including groups + inviter
requested_users = self._collect_unique_user_ids(
invited_by, user_ids, group_ids
)
existing_users = {
row.user_id
for row in db.query(ChannelMember.user_id)
.filter(ChannelMember.channel_id == channel_id)
.all()
}
new_user_ids = requested_users - existing_users
if not new_user_ids:
return [] # Nothing to add
new_memberships = self._create_membership_models(
channel_id, invited_by, new_user_ids
)
db.add_all(new_memberships)
db.commit()
return [
ChannelMemberModel.model_validate(membership)
for membership in new_memberships
]
def remove_members_from_channel(
self,
channel_id: str,
user_ids: list[str],
) -> int:
with get_db() as db:
result = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id.in_(user_ids),
)
.delete(synchronize_session=False)
)
db.commit()
return result # number of rows deleted
def is_user_channel_manager(self, channel_id: str, user_id: str) -> bool:
with get_db() as db:
# Check if the user is the creator of the channel
# or has a 'manager' role in ChannelMember
channel = db.query(Channel).filter(Channel.id == channel_id).first()
if channel and channel.user_id == user_id:
return True
membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
ChannelMember.role == "manager",
)
.first()
)
return membership is not None
def join_channel(
self, channel_id: str, user_id: str
) -> Optional[ChannelMemberModel]:
with get_db() as db:
# Check if the membership already exists
existing_membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
)
.first()
)
if existing_membership:
return ChannelMemberModel.model_validate(existing_membership)
# Create new membership
channel_member = ChannelMemberModel(
**{
"id": str(uuid.uuid4()),
"channel_id": channel_id,
"user_id": user_id,
"status": "joined",
"is_active": True,
"is_channel_muted": False,
"is_channel_pinned": False,
"joined_at": int(time.time_ns()),
"left_at": None,
"last_read_at": int(time.time_ns()),
"created_at": int(time.time_ns()),
"updated_at": int(time.time_ns()),
}
)
new_membership = ChannelMember(**channel_member.model_dump())
db.add(new_membership)
db.commit()
return channel_member
def leave_channel(self, channel_id: str, user_id: str) -> bool:
with get_db() as db:
membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
)
.first()
)
if not membership:
return False
membership.status = "left"
membership.is_active = False
membership.left_at = int(time.time_ns())
membership.updated_at = int(time.time_ns())
db.commit()
return True
def get_member_by_channel_and_user_id(
self, channel_id: str, user_id: str
) -> Optional[ChannelMemberModel]:
with get_db() as db:
membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
)
.first()
)
return ChannelMemberModel.model_validate(membership) if membership else None
def get_members_by_channel_id(self, channel_id: str) -> list[ChannelMemberModel]:
with get_db() as db:
memberships = (
db.query(ChannelMember)
.filter(ChannelMember.channel_id == channel_id)
.all()
)
return [
ChannelMemberModel.model_validate(membership)
for membership in memberships
]
def pin_channel(self, channel_id: str, user_id: str, is_pinned: bool) -> bool:
with get_db() as db:
membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
)
.first()
)
if not membership:
return False
membership.is_channel_pinned = is_pinned
membership.updated_at = int(time.time_ns())
db.commit()
return True
def update_member_last_read_at(self, channel_id: str, user_id: str) -> bool:
with get_db() as db:
membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
)
.first()
)
if not membership:
return False
membership.last_read_at = int(time.time_ns())
membership.updated_at = int(time.time_ns())
db.commit()
return True
def update_member_active_status(
self, channel_id: str, user_id: str, is_active: bool
) -> bool:
with get_db() as db:
membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
)
.first()
)
if not membership:
return False
membership.is_active = is_active
membership.updated_at = int(time.time_ns())
db.commit()
return True
def is_user_channel_member(self, channel_id: str, user_id: str) -> bool:
with get_db() as db:
membership = (
db.query(ChannelMember)
.filter(
ChannelMember.channel_id == channel_id,
ChannelMember.user_id == user_id,
)
.first()
)
return membership is not None
def get_channels_by_user_id(
self, user_id: str, permission: str = "read"
) -> list[ChannelModel]:
channels = self.get_channels()
return [
channel
for channel in channels
if channel.user_id == user_id
or has_access(user_id, permission, channel.access_control)
]
def get_channel_by_id(self, id: str) -> Optional[ChannelModel]:
with get_db() as db:
@ -651,12 +122,8 @@ class ChannelTable:
return None
channel.name = form_data.name
channel.description = form_data.description
channel.is_private = form_data.is_private
channel.data = form_data.data
channel.meta = form_data.meta
channel.access_control = form_data.access_control
channel.updated_at = int(time.time_ns())

View file

@ -26,7 +26,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class Chat(Base):
__tablename__ = "chat"
id = Column(String, primary_key=True, unique=True)
id = Column(String, primary_key=True)
user_id = Column(String)
title = Column(Text)
chat = Column(JSON)
@ -92,10 +92,6 @@ class ChatImportForm(ChatForm):
updated_at: Optional[int] = None
class ChatsImportForm(BaseModel):
chats: list[ChatImportForm]
class ChatTitleMessagesForm(BaseModel):
title: str
messages: list[dict]
@ -127,43 +123,6 @@ class ChatTitleIdResponse(BaseModel):
class ChatTable:
def _clean_null_bytes(self, obj):
"""
Recursively remove actual null bytes (\x00) and unicode escape \\u0000
from strings inside dict/list structures.
Safe for JSON objects.
"""
if isinstance(obj, str):
return obj.replace("\x00", "").replace("\u0000", "")
elif isinstance(obj, dict):
return {k: self._clean_null_bytes(v) for k, v in obj.items()}
elif isinstance(obj, list):
return [self._clean_null_bytes(v) for v in obj]
return obj
def _sanitize_chat_row(self, chat_item):
"""
Clean a Chat SQLAlchemy model's title + chat JSON,
and return True if anything changed.
"""
changed = False
# Clean title
if chat_item.title:
cleaned = self._clean_null_bytes(chat_item.title)
if cleaned != chat_item.title:
chat_item.title = cleaned
changed = True
# Clean JSON
if chat_item.chat:
cleaned = self._clean_null_bytes(chat_item.chat)
if cleaned != chat_item.chat:
chat_item.chat = cleaned
changed = True
return changed
def insert_new_chat(self, user_id: str, form_data: ChatForm) -> Optional[ChatModel]:
with get_db() as db:
id = str(uuid.uuid4())
@ -171,76 +130,68 @@ class ChatTable:
**{
"id": id,
"user_id": user_id,
"title": self._clean_null_bytes(
"title": (
form_data.chat["title"]
if "title" in form_data.chat
else "New Chat"
),
"chat": self._clean_null_bytes(form_data.chat),
"chat": form_data.chat,
"folder_id": form_data.folder_id,
"created_at": int(time.time()),
"updated_at": int(time.time()),
}
)
chat_item = Chat(**chat.model_dump())
db.add(chat_item)
result = Chat(**chat.model_dump())
db.add(result)
db.commit()
db.refresh(chat_item)
return ChatModel.model_validate(chat_item) if chat_item else None
db.refresh(result)
return ChatModel.model_validate(result) if result else None
def _chat_import_form_to_chat_model(
def import_chat(
self, user_id: str, form_data: ChatImportForm
) -> ChatModel:
id = str(uuid.uuid4())
chat = ChatModel(
**{
"id": id,
"user_id": user_id,
"title": self._clean_null_bytes(
form_data.chat["title"] if "title" in form_data.chat else "New Chat"
),
"chat": self._clean_null_bytes(form_data.chat),
"meta": form_data.meta,
"pinned": form_data.pinned,
"folder_id": form_data.folder_id,
"created_at": (
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())
),
}
)
return chat
def import_chats(
self, user_id: str, chat_import_forms: list[ChatImportForm]
) -> list[ChatModel]:
) -> Optional[ChatModel]:
with get_db() as db:
chats = []
id = str(uuid.uuid4())
chat = ChatModel(
**{
"id": id,
"user_id": user_id,
"title": (
form_data.chat["title"]
if "title" in form_data.chat
else "New Chat"
),
"chat": form_data.chat,
"meta": form_data.meta,
"pinned": form_data.pinned,
"folder_id": form_data.folder_id,
"created_at": (
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())
),
}
)
for form_data in chat_import_forms:
chat = self._chat_import_form_to_chat_model(user_id, form_data)
chats.append(Chat(**chat.model_dump()))
db.add_all(chats)
result = Chat(**chat.model_dump())
db.add(result)
db.commit()
return [ChatModel.model_validate(chat) for chat in chats]
db.refresh(result)
return ChatModel.model_validate(result) if result else None
def update_chat_by_id(self, id: str, chat: dict) -> Optional[ChatModel]:
try:
with get_db() as db:
chat_item = db.get(Chat, id)
chat_item.chat = self._clean_null_bytes(chat)
chat_item.title = (
self._clean_null_bytes(chat["title"])
if "title" in chat
else "New Chat"
)
chat_item.chat = chat
chat_item.title = chat["title"] if "title" in chat else "New Chat"
chat_item.updated_at = int(time.time())
db.commit()
db.refresh(chat_item)
@ -346,27 +297,6 @@ class ChatTable:
chat["history"] = history
return self.update_chat_by_id(id, chat)
def add_message_files_by_id_and_message_id(
self, id: str, message_id: str, files: list[dict]
) -> list[dict]:
chat = self.get_chat_by_id(id)
if chat is None:
return None
chat = chat.chat
history = chat.get("history", {})
message_files = []
if message_id in history.get("messages", {}):
message_files = history["messages"][message_id].get("files", [])
message_files = message_files + files
history["messages"][message_id]["files"] = message_files
chat["history"] = history
self.update_chat_by_id(id, chat)
return message_files
def insert_shared_chat_by_chat_id(self, chat_id: str) -> Optional[ChatModel]:
with get_db() as db:
# Get the existing chat to share
@ -475,7 +405,6 @@ class ChatTable:
with get_db() as db:
chat = db.get(Chat, id)
chat.archived = not chat.archived
chat.folder_id = None
chat.updated_at = int(time.time())
db.commit()
db.refresh(chat)
@ -511,10 +440,7 @@ class ChatTable:
order_by = filter.get("order_by")
direction = filter.get("direction")
if order_by and direction:
if not getattr(Chat, order_by, None):
raise ValueError("Invalid order_by field")
if order_by and direction and getattr(Chat, order_by):
if direction.lower() == "asc":
query = query.order_by(getattr(Chat, order_by).asc())
elif direction.lower() == "desc":
@ -632,15 +558,8 @@ class ChatTable:
def get_chat_by_id(self, id: str) -> Optional[ChatModel]:
try:
with get_db() as db:
chat_item = db.get(Chat, id)
if chat_item is None:
return None
if self._sanitize_chat_row(chat_item):
db.commit()
db.refresh(chat_item)
return ChatModel.model_validate(chat_item)
chat = db.get(Chat, id)
return ChatModel.model_validate(chat)
except Exception:
return None
@ -843,32 +762,21 @@ class ChatTable:
)
elif dialect_name == "postgresql":
# PostgreSQL doesn't allow null bytes in text. We filter those out by checking
# the JSON representation for \u0000 before attempting text extraction
# Safety filter: JSON field must not contain \u0000
query = query.filter(text("Chat.chat::text NOT LIKE '%\\\\u0000%'"))
# Safety filter: title must not contain actual null bytes
query = query.filter(text("Chat.title::text NOT LIKE '%\\x00%'"))
postgres_content_sql = """
EXISTS (
SELECT 1
FROM json_array_elements(Chat.chat->'messages') AS message
WHERE json_typeof(message->'content') = 'string'
AND LOWER(message->>'content') LIKE '%' || :content_key || '%'
# 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(bindparam("title_key")),
postgres_content_clause,
)
).params(title_key=f"%{search_text}%", content_key=search_text.lower())
).params(title_key=f"%{search_text}%", content_key=search_text)
)
# Check if there are any tags to filter, it should have all the tags
if "none" in tag_ids:
@ -1143,20 +1051,6 @@ class ChatTable:
except Exception:
return False
def move_chats_by_user_id_and_folder_id(
self, user_id: str, folder_id: str, new_folder_id: Optional[str]
) -> bool:
try:
with get_db() as db:
db.query(Chat).filter_by(user_id=user_id, folder_id=folder_id).update(
{"folder_id": new_folder_id}
)
db.commit()
return True
except Exception:
return False
def delete_shared_chats_by_user_id(self, user_id: str) -> bool:
try:
with get_db() as db:

View file

@ -4,7 +4,7 @@ import uuid
from typing import Optional
from open_webui.internal.db import Base, get_db
from open_webui.models.users import User
from open_webui.models.chats import Chats
from open_webui.env import SRC_LOG_LEVELS
from pydantic import BaseModel, ConfigDict
@ -21,7 +21,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class Feedback(Base):
__tablename__ = "feedback"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
user_id = Column(Text)
version = Column(BigInteger, default=0)
type = Column(Text)
@ -92,28 +92,6 @@ class FeedbackForm(BaseModel):
model_config = ConfigDict(extra="allow")
class UserResponse(BaseModel):
id: str
name: str
email: str
role: str = "pending"
last_active_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
created_at: int # timestamp in epoch
model_config = ConfigDict(from_attributes=True)
class FeedbackUserResponse(FeedbackResponse):
user: Optional[UserResponse] = None
class FeedbackListResponse(BaseModel):
items: list[FeedbackUserResponse]
total: int
class FeedbackTable:
def insert_new_feedback(
self, user_id: str, form_data: FeedbackForm
@ -165,70 +143,6 @@ class FeedbackTable:
except Exception:
return None
def get_feedback_items(
self, filter: dict = {}, skip: int = 0, limit: int = 30
) -> FeedbackListResponse:
with get_db() as db:
query = db.query(Feedback, User).join(User, Feedback.user_id == User.id)
if filter:
order_by = filter.get("order_by")
direction = filter.get("direction")
if order_by == "username":
if direction == "asc":
query = query.order_by(User.name.asc())
else:
query = query.order_by(User.name.desc())
elif order_by == "model_id":
# it's stored in feedback.data['model_id']
if direction == "asc":
query = query.order_by(
Feedback.data["model_id"].as_string().asc()
)
else:
query = query.order_by(
Feedback.data["model_id"].as_string().desc()
)
elif order_by == "rating":
# it's stored in feedback.data['rating']
if direction == "asc":
query = query.order_by(
Feedback.data["rating"].as_string().asc()
)
else:
query = query.order_by(
Feedback.data["rating"].as_string().desc()
)
elif order_by == "updated_at":
if direction == "asc":
query = query.order_by(Feedback.updated_at.asc())
else:
query = query.order_by(Feedback.updated_at.desc())
else:
query = query.order_by(Feedback.created_at.desc())
# Count BEFORE pagination
total = query.count()
if skip:
query = query.offset(skip)
if limit:
query = query.limit(limit)
items = query.all()
feedbacks = []
for feedback, user in items:
feedback_model = FeedbackModel.model_validate(feedback)
user_model = UserResponse.model_validate(user)
feedbacks.append(
FeedbackUserResponse(**feedback_model.model_dump(), user=user_model)
)
return FeedbackListResponse(items=feedbacks, total=total)
def get_all_feedbacks(self) -> list[FeedbackModel]:
with get_db() as db:
return [

View file

@ -17,7 +17,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class File(Base):
__tablename__ = "file"
id = Column(String, primary_key=True, unique=True)
id = Column(String, primary_key=True)
user_id = Column(String)
hash = Column(Text, nullable=True)
@ -98,12 +98,6 @@ class FileForm(BaseModel):
access_control: Optional[dict] = None
class FileUpdateForm(BaseModel):
hash: Optional[str] = None
data: Optional[dict] = None
meta: Optional[dict] = None
class FilesTable:
def insert_new_file(self, user_id: str, form_data: FileForm) -> Optional[FileModel]:
with get_db() as db:
@ -210,29 +204,6 @@ class FilesTable:
for file in db.query(File).filter_by(user_id=user_id).all()
]
def update_file_by_id(
self, id: str, form_data: FileUpdateForm
) -> Optional[FileModel]:
with get_db() as db:
try:
file = db.query(File).filter_by(id=id).first()
if form_data.hash is not None:
file.hash = form_data.hash
if form_data.data is not None:
file.data = {**(file.data if file.data else {}), **form_data.data}
if form_data.meta is not None:
file.meta = {**(file.meta if file.meta else {}), **form_data.meta}
file.updated_at = int(time.time())
db.commit()
return FileModel.model_validate(file)
except Exception as e:
log.exception(f"Error updating file completely by id: {e}")
return None
def update_file_hash_by_id(self, id: str, hash: str) -> Optional[FileModel]:
with get_db() as db:
try:

View file

@ -23,7 +23,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class Folder(Base):
__tablename__ = "folder"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
parent_id = Column(Text, nullable=True)
user_id = Column(Text)
name = Column(Text)

View file

@ -19,7 +19,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class Function(Base):
__tablename__ = "function"
id = Column(String, primary_key=True, unique=True)
id = Column(String, primary_key=True)
user_id = Column(String)
name = Column(Text)
type = Column(Text)

View file

@ -11,18 +11,7 @@ from open_webui.models.files import FileMetadataResponse
from pydantic import BaseModel, ConfigDict
from sqlalchemy import (
BigInteger,
Column,
String,
Text,
JSON,
and_,
func,
ForeignKey,
cast,
or_,
)
from sqlalchemy import BigInteger, Column, String, Text, JSON, func
log = logging.getLogger(__name__)
@ -46,12 +35,14 @@ class Group(Base):
meta = Column(JSON, nullable=True)
permissions = Column(JSON, nullable=True)
user_ids = Column(JSON, nullable=True)
created_at = Column(BigInteger)
updated_at = Column(BigInteger)
class GroupModel(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: str
user_id: str
@ -62,64 +53,44 @@ class GroupModel(BaseModel):
meta: Optional[dict] = None
permissions: Optional[dict] = None
user_ids: list[str] = []
created_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
model_config = ConfigDict(from_attributes=True)
class GroupMember(Base):
__tablename__ = "group_member"
id = Column(Text, unique=True, primary_key=True)
group_id = Column(
Text,
ForeignKey("group.id", ondelete="CASCADE"),
nullable=False,
)
user_id = Column(Text, nullable=False)
created_at = Column(BigInteger, nullable=True)
updated_at = Column(BigInteger, nullable=True)
class GroupMemberModel(BaseModel):
id: str
group_id: str
user_id: str
created_at: Optional[int] = None # timestamp in epoch
updated_at: Optional[int] = None # timestamp in epoch
####################
# Forms
####################
class GroupResponse(GroupModel):
member_count: Optional[int] = None
class GroupResponse(BaseModel):
id: str
user_id: str
name: str
description: str
permissions: Optional[dict] = None
data: Optional[dict] = None
meta: Optional[dict] = None
user_ids: list[str] = []
created_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
class GroupForm(BaseModel):
name: str
description: str
permissions: Optional[dict] = None
data: Optional[dict] = None
class UserIdsForm(BaseModel):
user_ids: Optional[list[str]] = None
class GroupUpdateForm(GroupForm):
class GroupUpdateForm(GroupForm, UserIdsForm):
pass
class GroupListResponse(BaseModel):
items: list[GroupResponse] = []
total: int = 0
class GroupTable:
def insert_new_group(
self, user_id: str, form_data: GroupForm
@ -148,94 +119,24 @@ class GroupTable:
except Exception:
return None
def get_all_groups(self) -> list[GroupModel]:
def get_groups(self) -> list[GroupModel]:
with get_db() as db:
groups = db.query(Group).order_by(Group.updated_at.desc()).all()
return [GroupModel.model_validate(group) for group in groups]
def get_groups(self, filter) -> list[GroupResponse]:
with get_db() as db:
query = db.query(Group)
if filter:
if "query" in filter:
query = query.filter(Group.name.ilike(f"%{filter['query']}%"))
if "member_id" in filter:
query = query.join(
GroupMember, GroupMember.group_id == Group.id
).filter(GroupMember.user_id == filter["member_id"])
if "share" in filter:
share_value = filter["share"]
json_share = Group.data["config"]["share"].as_boolean()
if share_value:
query = query.filter(
or_(
Group.data.is_(None),
json_share.is_(None),
json_share == True,
)
)
else:
query = query.filter(
and_(Group.data.isnot(None), json_share == False)
)
groups = query.order_by(Group.updated_at.desc()).all()
return [
GroupResponse.model_validate(
{
**GroupModel.model_validate(group).model_dump(),
"member_count": self.get_group_member_count_by_id(group.id),
}
)
for group in groups
GroupModel.model_validate(group)
for group in db.query(Group).order_by(Group.updated_at.desc()).all()
]
def search_groups(
self, filter: Optional[dict] = None, skip: int = 0, limit: int = 30
) -> GroupListResponse:
with get_db() as db:
query = db.query(Group)
if filter:
if "query" in filter:
query = query.filter(Group.name.ilike(f"%{filter['query']}%"))
if "member_id" in filter:
query = query.join(
GroupMember, GroupMember.group_id == Group.id
).filter(GroupMember.user_id == filter["member_id"])
if "share" in filter:
# 'share' is stored in data JSON, support both sqlite and postgres
share_value = filter["share"]
print("Filtering by share:", share_value)
query = query.filter(
Group.data.op("->>")("share") == str(share_value)
)
total = query.count()
query = query.order_by(Group.updated_at.desc())
groups = query.offset(skip).limit(limit).all()
return {
"items": [
GroupResponse.model_validate(
**GroupModel.model_validate(group).model_dump(),
member_count=self.get_group_member_count_by_id(group.id),
)
for group in groups
],
"total": total,
}
def get_groups_by_member_id(self, user_id: str) -> list[GroupModel]:
with get_db() as db:
return [
GroupModel.model_validate(group)
for group in db.query(Group)
.join(GroupMember, GroupMember.group_id == Group.id)
.filter(GroupMember.user_id == user_id)
.filter(
func.json_array_length(Group.user_ids) > 0
) # Ensure array exists
.filter(
Group.user_ids.cast(String).like(f'%"{user_id}"%')
) # String-based check
.order_by(Group.updated_at.desc())
.all()
]
@ -248,63 +149,12 @@ class GroupTable:
except Exception:
return None
def get_group_user_ids_by_id(self, id: str) -> Optional[list[str]]:
with get_db() as db:
members = (
db.query(GroupMember.user_id).filter(GroupMember.group_id == id).all()
)
if not members:
return None
return [m[0] for m in members]
def get_group_user_ids_by_ids(self, group_ids: list[str]) -> dict[str, list[str]]:
with get_db() as db:
members = (
db.query(GroupMember.group_id, GroupMember.user_id)
.filter(GroupMember.group_id.in_(group_ids))
.all()
)
group_user_ids: dict[str, list[str]] = {
group_id: [] for group_id in group_ids
}
for group_id, user_id in members:
group_user_ids[group_id].append(user_id)
return group_user_ids
def set_group_user_ids_by_id(self, group_id: str, user_ids: list[str]) -> None:
with get_db() as db:
# Delete existing members
db.query(GroupMember).filter(GroupMember.group_id == group_id).delete()
# Insert new members
now = int(time.time())
new_members = [
GroupMember(
id=str(uuid.uuid4()),
group_id=group_id,
user_id=user_id,
created_at=now,
updated_at=now,
)
for user_id in user_ids
]
db.add_all(new_members)
db.commit()
def get_group_member_count_by_id(self, id: str) -> int:
with get_db() as db:
count = (
db.query(func.count(GroupMember.user_id))
.filter(GroupMember.group_id == id)
.scalar()
)
return count if count else 0
def get_group_user_ids_by_id(self, id: str) -> Optional[str]:
group = self.get_group_by_id(id)
if group:
return group.user_ids
else:
return None
def update_group_by_id(
self, id: str, form_data: GroupUpdateForm, overwrite: bool = False
@ -345,29 +195,20 @@ class GroupTable:
def remove_user_from_all_groups(self, user_id: str) -> bool:
with get_db() as db:
try:
# Find all groups the user belongs to
groups = (
db.query(Group)
.join(GroupMember, GroupMember.group_id == Group.id)
.filter(GroupMember.user_id == user_id)
.all()
)
groups = self.get_groups_by_member_id(user_id)
# Remove the user from each group
for group in groups:
db.query(GroupMember).filter(
GroupMember.group_id == group.id, GroupMember.user_id == user_id
).delete()
group.user_ids.remove(user_id)
db.query(Group).filter_by(id=group.id).update(
{"updated_at": int(time.time())}
{
"user_ids": group.user_ids,
"updated_at": int(time.time()),
}
)
db.commit()
db.commit()
return True
except Exception:
db.rollback()
return False
def create_groups_by_group_names(
@ -375,7 +216,7 @@ class GroupTable:
) -> list[GroupModel]:
# check for existing groups
existing_groups = self.get_all_groups()
existing_groups = self.get_groups()
existing_group_names = {group.name for group in existing_groups}
new_groups = []
@ -405,61 +246,37 @@ class GroupTable:
def sync_groups_by_group_names(self, user_id: str, group_names: list[str]) -> bool:
with get_db() as db:
try:
now = int(time.time())
groups = db.query(Group).filter(Group.name.in_(group_names)).all()
group_ids = [group.id for group in groups]
# 1. Groups that SHOULD contain the user
target_groups = (
db.query(Group).filter(Group.name.in_(group_names)).all()
)
target_group_ids = {g.id for g in target_groups}
# Remove user from groups not in the new list
existing_groups = self.get_groups_by_member_id(user_id)
# 2. Groups the user is CURRENTLY in
existing_group_ids = {
g.id
for g in db.query(Group)
.join(GroupMember, GroupMember.group_id == Group.id)
.filter(GroupMember.user_id == user_id)
.all()
}
# 3. Determine adds + removals
groups_to_add = target_group_ids - existing_group_ids
groups_to_remove = existing_group_ids - target_group_ids
# 4. Remove in one bulk delete
if groups_to_remove:
db.query(GroupMember).filter(
GroupMember.user_id == user_id,
GroupMember.group_id.in_(groups_to_remove),
).delete(synchronize_session=False)
db.query(Group).filter(Group.id.in_(groups_to_remove)).update(
{"updated_at": now}, synchronize_session=False
)
# 5. Bulk insert missing memberships
for group_id in groups_to_add:
db.add(
GroupMember(
id=str(uuid.uuid4()),
group_id=group_id,
user_id=user_id,
created_at=now,
updated_at=now,
for group in existing_groups:
if group.id not in group_ids:
group.user_ids.remove(user_id)
db.query(Group).filter_by(id=group.id).update(
{
"user_ids": group.user_ids,
"updated_at": int(time.time()),
}
)
)
if groups_to_add:
db.query(Group).filter(Group.id.in_(groups_to_add)).update(
{"updated_at": now}, synchronize_session=False
)
# Add user to new groups
for group in groups:
if user_id not in group.user_ids:
group.user_ids.append(user_id)
db.query(Group).filter_by(id=group.id).update(
{
"user_ids": group.user_ids,
"updated_at": int(time.time()),
}
)
db.commit()
return True
except Exception as e:
log.exception(e)
db.rollback()
return False
def add_users_to_group(
@ -471,31 +288,21 @@ class GroupTable:
if not group:
return None
now = int(time.time())
group_user_ids = group.user_ids
if not group_user_ids or not isinstance(group_user_ids, list):
group_user_ids = []
for user_id in user_ids or []:
try:
db.add(
GroupMember(
id=str(uuid.uuid4()),
group_id=id,
user_id=user_id,
created_at=now,
updated_at=now,
)
)
db.flush() # Detect unique constraint violation early
except Exception:
db.rollback() # Clear failed INSERT
db.begin() # Start a new transaction
continue # Duplicate → ignore
group_user_ids = list(set(group_user_ids)) # Deduplicate
group.updated_at = now
for user_id in user_ids:
if user_id not in group_user_ids:
group_user_ids.append(user_id)
group.user_ids = group_user_ids
group.updated_at = int(time.time())
db.commit()
db.refresh(group)
return GroupModel.model_validate(group)
except Exception as e:
log.exception(e)
return None
@ -509,22 +316,23 @@ class GroupTable:
if not group:
return None
if not user_ids:
group_user_ids = group.user_ids
if not group_user_ids or not isinstance(group_user_ids, list):
return GroupModel.model_validate(group)
# Remove each user from group_member
for user_id in user_ids:
db.query(GroupMember).filter(
GroupMember.group_id == id, GroupMember.user_id == user_id
).delete()
group_user_ids = list(set(group_user_ids)) # Deduplicate
# Update group timestamp
for user_id in user_ids:
if user_id in group_user_ids:
group_user_ids.remove(user_id)
group.user_ids = group_user_ids
group.updated_at = int(time.time())
db.commit()
db.refresh(group)
return GroupModel.model_validate(group)
except Exception as e:
log.exception(e)
return None

View file

@ -7,21 +7,13 @@ import uuid
from open_webui.internal.db import Base, get_db
from open_webui.env import SRC_LOG_LEVELS
from open_webui.models.files import File, FileModel, FileMetadataResponse
from open_webui.models.files import FileMetadataResponse
from open_webui.models.groups import Groups
from open_webui.models.users import Users, UserResponse
from pydantic import BaseModel, ConfigDict
from sqlalchemy import (
BigInteger,
Column,
ForeignKey,
String,
Text,
JSON,
UniqueConstraint,
)
from sqlalchemy import BigInteger, Column, String, Text, JSON
from open_webui.utils.access_control import has_access
@ -42,7 +34,9 @@ class Knowledge(Base):
name = Column(Text)
description = Column(Text)
data = Column(JSON, nullable=True)
meta = Column(JSON, nullable=True)
access_control = Column(JSON, nullable=True) # Controls data access levels.
# Defines access control rules for this entry.
# - `None`: Public access, available to all users with the "user" role.
@ -73,6 +67,7 @@ class KnowledgeModel(BaseModel):
name: str
description: str
data: Optional[dict] = None
meta: Optional[dict] = None
access_control: Optional[dict] = None
@ -81,42 +76,11 @@ class KnowledgeModel(BaseModel):
updated_at: int # timestamp in epoch
class KnowledgeFile(Base):
__tablename__ = "knowledge_file"
id = Column(Text, unique=True, primary_key=True)
knowledge_id = Column(
Text, ForeignKey("knowledge.id", ondelete="CASCADE"), nullable=False
)
file_id = Column(Text, ForeignKey("file.id", ondelete="CASCADE"), nullable=False)
user_id = Column(Text, nullable=False)
created_at = Column(BigInteger, nullable=False)
updated_at = Column(BigInteger, nullable=False)
__table_args__ = (
UniqueConstraint(
"knowledge_id", "file_id", name="uq_knowledge_file_knowledge_file"
),
)
class KnowledgeFileModel(BaseModel):
id: str
knowledge_id: str
file_id: str
user_id: str
created_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
model_config = ConfigDict(from_attributes=True)
####################
# Forms
####################
class KnowledgeUserModel(KnowledgeModel):
user: Optional[UserResponse] = None
@ -132,6 +96,7 @@ class KnowledgeUserResponse(KnowledgeUserModel):
class KnowledgeForm(BaseModel):
name: str
description: str
data: Optional[dict] = None
access_control: Optional[dict] = None
@ -217,100 +182,6 @@ class KnowledgeTable:
except Exception:
return None
def get_knowledges_by_file_id(self, file_id: str) -> list[KnowledgeModel]:
try:
with get_db() as db:
knowledges = (
db.query(Knowledge)
.join(KnowledgeFile, Knowledge.id == KnowledgeFile.knowledge_id)
.filter(KnowledgeFile.file_id == file_id)
.all()
)
return [
KnowledgeModel.model_validate(knowledge) for knowledge in knowledges
]
except Exception:
return []
def get_files_by_id(self, knowledge_id: str) -> list[FileModel]:
try:
with get_db() as db:
files = (
db.query(File)
.join(KnowledgeFile, File.id == KnowledgeFile.file_id)
.filter(KnowledgeFile.knowledge_id == knowledge_id)
.all()
)
return [FileModel.model_validate(file) for file in files]
except Exception:
return []
def get_file_metadatas_by_id(self, knowledge_id: str) -> list[FileMetadataResponse]:
try:
with get_db() as db:
files = self.get_files_by_id(knowledge_id)
return [FileMetadataResponse(**file.model_dump()) for file in files]
except Exception:
return []
def add_file_to_knowledge_by_id(
self, knowledge_id: str, file_id: str, user_id: str
) -> Optional[KnowledgeFileModel]:
with get_db() as db:
knowledge_file = KnowledgeFileModel(
**{
"id": str(uuid.uuid4()),
"knowledge_id": knowledge_id,
"file_id": file_id,
"user_id": user_id,
"created_at": int(time.time()),
"updated_at": int(time.time()),
}
)
try:
result = KnowledgeFile(**knowledge_file.model_dump())
db.add(result)
db.commit()
db.refresh(result)
if result:
return KnowledgeFileModel.model_validate(result)
else:
return None
except Exception:
return None
def remove_file_from_knowledge_by_id(self, knowledge_id: str, file_id: str) -> bool:
try:
with get_db() as db:
db.query(KnowledgeFile).filter_by(
knowledge_id=knowledge_id, file_id=file_id
).delete()
db.commit()
return True
except Exception:
return False
def reset_knowledge_by_id(self, id: str) -> Optional[KnowledgeModel]:
try:
with get_db() as db:
# Delete all knowledge_file entries for this knowledge_id
db.query(KnowledgeFile).filter_by(knowledge_id=id).delete()
db.commit()
# Update the knowledge entry's updated_at timestamp
db.query(Knowledge).filter_by(id=id).update(
{
"updated_at": int(time.time()),
}
)
db.commit()
return self.get_knowledge_by_id(id=id)
except Exception as e:
log.exception(e)
return None
def update_knowledge_by_id(
self, id: str, form_data: KnowledgeForm, overwrite: bool = False
) -> Optional[KnowledgeModel]:

View file

@ -14,7 +14,7 @@ from sqlalchemy import BigInteger, Column, String, Text
class Memory(Base):
__tablename__ = "memory"
id = Column(String, primary_key=True, unique=True)
id = Column(String, primary_key=True)
user_id = Column(String)
content = Column(Text)
updated_at = Column(BigInteger)

View file

@ -5,8 +5,7 @@ from typing import Optional
from open_webui.internal.db import Base, get_db
from open_webui.models.tags import TagModel, Tag, Tags
from open_webui.models.users import Users, User, UserNameResponse
from open_webui.models.channels import Channels, ChannelMember
from open_webui.models.users import Users, UserNameResponse
from pydantic import BaseModel, ConfigDict
@ -21,7 +20,7 @@ from sqlalchemy.sql import exists
class MessageReaction(Base):
__tablename__ = "message_reaction"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
user_id = Column(Text)
message_id = Column(Text)
name = Column(Text)
@ -40,7 +39,7 @@ class MessageReactionModel(BaseModel):
class Message(Base):
__tablename__ = "message"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
user_id = Column(Text)
channel_id = Column(Text, nullable=True)
@ -48,11 +47,6 @@ class Message(Base):
reply_to_id = Column(Text, nullable=True)
parent_id = Column(Text, nullable=True)
# Pins
is_pinned = Column(Boolean, nullable=False, default=False)
pinned_at = Column(BigInteger, nullable=True)
pinned_by = Column(Text, nullable=True)
content = Column(Text)
data = Column(JSON, nullable=True)
meta = Column(JSON, nullable=True)
@ -71,17 +65,12 @@ class MessageModel(BaseModel):
reply_to_id: Optional[str] = None
parent_id: Optional[str] = None
# Pins
is_pinned: bool = False
pinned_by: Optional[str] = None
pinned_at: Optional[int] = None # timestamp in epoch (time_ns)
content: str
data: Optional[dict] = None
meta: Optional[dict] = None
created_at: int # timestamp in epoch (time_ns)
updated_at: int # timestamp in epoch (time_ns)
created_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
####################
@ -90,7 +79,6 @@ class MessageModel(BaseModel):
class MessageForm(BaseModel):
temp_id: Optional[str] = None
content: str
reply_to_id: Optional[str] = None
parent_id: Optional[str] = None
@ -100,7 +88,7 @@ class MessageForm(BaseModel):
class Reactions(BaseModel):
name: str
users: list[dict]
user_ids: list[str]
count: int
@ -112,10 +100,6 @@ class MessageReplyToResponse(MessageUserResponse):
reply_to_message: Optional[MessageUserResponse] = None
class MessageWithReactionsResponse(MessageUserResponse):
reactions: list[Reactions]
class MessageResponse(MessageReplyToResponse):
latest_reply_at: Optional[int]
reply_count: int
@ -127,11 +111,9 @@ class MessageTable:
self, form_data: MessageForm, channel_id: str, user_id: str
) -> Optional[MessageModel]:
with get_db() as db:
channel_member = Channels.join_channel(channel_id, user_id)
id = str(uuid.uuid4())
ts = int(time.time_ns())
ts = int(time.time_ns())
message = MessageModel(
**{
"id": id,
@ -139,9 +121,6 @@ class MessageTable:
"channel_id": channel_id,
"reply_to_id": form_data.reply_to_id,
"parent_id": form_data.parent_id,
"is_pinned": False,
"pinned_at": None,
"pinned_by": None,
"content": form_data.content,
"data": form_data.data,
"meta": form_data.meta,
@ -149,8 +128,8 @@ class MessageTable:
"updated_at": ts,
}
)
result = Message(**message.model_dump())
result = Message(**message.model_dump())
db.add(result)
db.commit()
db.refresh(result)
@ -301,30 +280,6 @@ class MessageTable:
)
return messages
def get_last_message_by_channel_id(self, channel_id: str) -> Optional[MessageModel]:
with get_db() as db:
message = (
db.query(Message)
.filter_by(channel_id=channel_id)
.order_by(Message.created_at.desc())
.first()
)
return MessageModel.model_validate(message) if message else None
def get_pinned_messages_by_channel_id(
self, channel_id: str, skip: int = 0, limit: int = 50
) -> list[MessageModel]:
with get_db() as db:
all_messages = (
db.query(Message)
.filter_by(channel_id=channel_id, is_pinned=True)
.order_by(Message.pinned_at.desc())
.offset(skip)
.limit(limit)
.all()
)
return [MessageModel.model_validate(message) for message in all_messages]
def update_message_by_id(
self, id: str, form_data: MessageForm
) -> Optional[MessageModel]:
@ -344,44 +299,10 @@ class MessageTable:
db.refresh(message)
return MessageModel.model_validate(message) if message else None
def update_is_pinned_by_id(
self, id: str, is_pinned: bool, pinned_by: Optional[str] = None
) -> Optional[MessageModel]:
with get_db() as db:
message = db.get(Message, id)
message.is_pinned = is_pinned
message.pinned_at = int(time.time_ns()) if is_pinned else None
message.pinned_by = pinned_by if is_pinned else None
db.commit()
db.refresh(message)
return MessageModel.model_validate(message) if message else None
def get_unread_message_count(
self, channel_id: str, user_id: str, last_read_at: Optional[int] = None
) -> int:
with get_db() as db:
query = db.query(Message).filter(
Message.channel_id == channel_id,
Message.parent_id == None, # only count top-level messages
Message.created_at > (last_read_at if last_read_at else 0),
)
if user_id:
query = query.filter(Message.user_id != user_id)
return query.count()
def add_reaction_to_message(
self, id: str, user_id: str, name: str
) -> Optional[MessageReactionModel]:
with get_db() as db:
# check for existing reaction
existing_reaction = (
db.query(MessageReaction)
.filter_by(message_id=id, user_id=user_id, name=name)
.first()
)
if existing_reaction:
return MessageReactionModel.model_validate(existing_reaction)
reaction_id = str(uuid.uuid4())
reaction = MessageReactionModel(
id=reaction_id,
@ -398,30 +319,17 @@ class MessageTable:
def get_reactions_by_message_id(self, id: str) -> list[Reactions]:
with get_db() as db:
# JOIN User so all user info is fetched in one query
results = (
db.query(MessageReaction, User)
.join(User, MessageReaction.user_id == User.id)
.filter(MessageReaction.message_id == id)
.all()
)
all_reactions = db.query(MessageReaction).filter_by(message_id=id).all()
reactions = {}
for reaction, user in results:
for reaction in all_reactions:
if reaction.name not in reactions:
reactions[reaction.name] = {
"name": reaction.name,
"users": [],
"user_ids": [],
"count": 0,
}
reactions[reaction.name]["users"].append(
{
"id": user.id,
"name": user.name,
}
)
reactions[reaction.name]["user_ids"].append(reaction.user_id)
reactions[reaction.name]["count"] += 1
return [Reactions(**reaction) for reaction in reactions.values()]

View file

@ -6,15 +6,13 @@ from open_webui.internal.db import Base, JSONField, get_db
from open_webui.env import SRC_LOG_LEVELS
from open_webui.models.groups import Groups
from open_webui.models.users import User, UserModel, Users, UserResponse
from open_webui.models.users import Users, UserResponse
from pydantic import BaseModel, ConfigDict
from sqlalchemy import String, cast, or_, and_, func
from sqlalchemy import or_, and_, func
from sqlalchemy.dialects import postgresql, sqlite
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy import BigInteger, Column, Text, JSON, Boolean
@ -55,7 +53,7 @@ class ModelMeta(BaseModel):
class Model(Base):
__tablename__ = "model"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
"""
The model's id as used in the API. If set to an existing model, it will override the model.
"""
@ -135,11 +133,6 @@ class ModelResponse(ModelModel):
pass
class ModelListResponse(BaseModel):
items: list[ModelUserResponse]
total: int
class ModelForm(BaseModel):
id: str
base_model_id: Optional[str] = None
@ -222,135 +215,6 @@ class ModelsTable:
or has_access(user_id, permission, model.access_control, user_group_ids)
]
def _has_permission(self, db, query, filter: dict, permission: str = "read"):
group_ids = filter.get("group_ids", [])
user_id = filter.get("user_id")
dialect_name = db.bind.dialect.name
# Public access
conditions = []
if group_ids or user_id:
conditions.extend(
[
Model.access_control.is_(None),
cast(Model.access_control, String) == "null",
]
)
# User-level permission
if user_id:
conditions.append(Model.user_id == user_id)
# Group-level permission
if group_ids:
group_conditions = []
for gid in group_ids:
if dialect_name == "sqlite":
group_conditions.append(
Model.access_control[permission]["group_ids"].contains([gid])
)
elif dialect_name == "postgresql":
group_conditions.append(
cast(
Model.access_control[permission]["group_ids"],
JSONB,
).contains([gid])
)
conditions.append(or_(*group_conditions))
if conditions:
query = query.filter(or_(*conditions))
return query
def search_models(
self, user_id: str, filter: dict = {}, skip: int = 0, limit: int = 30
) -> ModelListResponse:
with get_db() as db:
# Join GroupMember so we can order by group_id when requested
query = db.query(Model, User).outerjoin(User, User.id == Model.user_id)
query = query.filter(Model.base_model_id != None)
if filter:
query_key = filter.get("query")
if query_key:
query = query.filter(
or_(
Model.name.ilike(f"%{query_key}%"),
Model.base_model_id.ilike(f"%{query_key}%"),
)
)
view_option = filter.get("view_option")
if view_option == "created":
query = query.filter(Model.user_id == user_id)
elif view_option == "shared":
query = query.filter(Model.user_id != user_id)
# Apply access control filtering
query = self._has_permission(
db,
query,
filter,
permission="write",
)
tag = filter.get("tag")
if tag:
# TODO: This is a simple implementation and should be improved for performance
like_pattern = f'%"{tag.lower()}"%' # `"tag"` inside JSON array
meta_text = func.lower(cast(Model.meta, String))
query = query.filter(meta_text.like(like_pattern))
order_by = filter.get("order_by")
direction = filter.get("direction")
if order_by == "name":
if direction == "asc":
query = query.order_by(Model.name.asc())
else:
query = query.order_by(Model.name.desc())
elif order_by == "created_at":
if direction == "asc":
query = query.order_by(Model.created_at.asc())
else:
query = query.order_by(Model.created_at.desc())
elif order_by == "updated_at":
if direction == "asc":
query = query.order_by(Model.updated_at.asc())
else:
query = query.order_by(Model.updated_at.desc())
else:
query = query.order_by(Model.created_at.desc())
# Count BEFORE pagination
total = query.count()
if skip:
query = query.offset(skip)
if limit:
query = query.limit(limit)
items = query.all()
models = []
for model, user in items:
models.append(
ModelUserResponse(
**ModelModel.model_validate(model).model_dump(),
user=(
UserResponse(**UserModel.model_validate(user).model_dump())
if user
else None
),
)
)
return ModelListResponse(items=models, total=total)
def get_model_by_id(self, id: str) -> Optional[ModelModel]:
try:
with get_db() as db:
@ -380,9 +244,11 @@ class ModelsTable:
try:
with get_db() as db:
# update only the fields that are present in the model
data = model.model_dump(exclude={"id"})
result = db.query(Model).filter_by(id=id).update(data)
result = (
db.query(Model)
.filter_by(id=id)
.update(model.model_dump(exclude={"id"}))
)
db.commit()
model = db.get(Model, id)

View file

@ -23,7 +23,7 @@ from sqlalchemy.sql import exists
class Note(Base):
__tablename__ = "note"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
user_id = Column(Text)
title = Column(Text)

View file

@ -25,7 +25,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class OAuthSession(Base):
__tablename__ = "oauth_session"
id = Column(Text, primary_key=True, unique=True)
id = Column(Text, primary_key=True)
user_id = Column(Text, nullable=False)
provider = Column(Text, nullable=False)
token = Column(
@ -262,16 +262,5 @@ class OAuthSessionTable:
log.error(f"Error deleting OAuth sessions by user ID: {e}")
return False
def delete_sessions_by_provider(self, provider: str) -> bool:
"""Delete all OAuth sessions for a provider"""
try:
with get_db() as db:
db.query(OAuthSession).filter_by(provider=provider).delete()
db.commit()
return True
except Exception as e:
log.error(f"Error deleting OAuth sessions by provider {provider}: {e}")
return False
OAuthSessions = OAuthSessionTable()

View file

@ -24,7 +24,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
class Tool(Base):
__tablename__ = "tool"
id = Column(String, primary_key=True, unique=True)
id = Column(String, primary_key=True)
user_id = Column(String)
name = Column(Text)
content = Column(Text)

View file

@ -6,28 +6,13 @@ from open_webui.internal.db import Base, JSONField, get_db
from open_webui.env import DATABASE_USER_ACTIVE_STATUS_UPDATE_INTERVAL
from open_webui.models.chats import Chats
from open_webui.models.groups import Groups, GroupMember
from open_webui.models.channels import ChannelMember
from open_webui.models.groups import Groups
from open_webui.utils.misc import throttle
from pydantic import BaseModel, ConfigDict
from sqlalchemy import (
BigInteger,
JSON,
Column,
String,
Boolean,
Text,
Date,
exists,
select,
cast,
)
from sqlalchemy import or_, case
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy import BigInteger, Column, String, Text, Date
from sqlalchemy import or_
import datetime
@ -36,71 +21,59 @@ import datetime
####################
class User(Base):
__tablename__ = "user"
id = Column(String, primary_key=True)
name = Column(String)
email = Column(String)
username = Column(String(50), nullable=True)
role = Column(String)
profile_image_url = Column(Text)
bio = Column(Text, nullable=True)
gender = Column(Text, nullable=True)
date_of_birth = Column(Date, nullable=True)
info = Column(JSONField, nullable=True)
settings = Column(JSONField, nullable=True)
api_key = Column(String, nullable=True, unique=True)
oauth_sub = Column(Text, unique=True)
last_active_at = Column(BigInteger)
updated_at = Column(BigInteger)
created_at = Column(BigInteger)
class UserSettings(BaseModel):
ui: Optional[dict] = {}
model_config = ConfigDict(extra="allow")
pass
class User(Base):
__tablename__ = "user"
id = Column(String, primary_key=True, unique=True)
email = Column(String)
username = Column(String(50), nullable=True)
role = Column(String)
name = Column(String)
profile_image_url = Column(Text)
profile_banner_image_url = Column(Text, nullable=True)
bio = Column(Text, nullable=True)
gender = Column(Text, nullable=True)
date_of_birth = Column(Date, nullable=True)
timezone = Column(String, nullable=True)
presence_state = Column(String, nullable=True)
status_emoji = Column(String, nullable=True)
status_message = Column(Text, nullable=True)
status_expires_at = Column(BigInteger, nullable=True)
info = Column(JSON, nullable=True)
settings = Column(JSON, nullable=True)
oauth = Column(JSON, nullable=True)
last_active_at = Column(BigInteger)
updated_at = Column(BigInteger)
created_at = Column(BigInteger)
class UserModel(BaseModel):
id: str
name: str
email: str
username: Optional[str] = None
role: str = "pending"
name: str
profile_image_url: str
profile_banner_image_url: Optional[str] = None
bio: Optional[str] = None
gender: Optional[str] = None
date_of_birth: Optional[datetime.date] = None
timezone: Optional[str] = None
presence_state: Optional[str] = None
status_emoji: Optional[str] = None
status_message: Optional[str] = None
status_expires_at: Optional[int] = None
info: Optional[dict] = None
settings: Optional[UserSettings] = None
oauth: Optional[dict] = None
api_key: Optional[str] = None
oauth_sub: Optional[str] = None
last_active_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
@ -109,38 +82,6 @@ class UserModel(BaseModel):
model_config = ConfigDict(from_attributes=True)
class UserStatusModel(UserModel):
is_active: bool = False
model_config = ConfigDict(from_attributes=True)
class ApiKey(Base):
__tablename__ = "api_key"
id = Column(Text, primary_key=True, unique=True)
user_id = Column(Text, nullable=False)
key = Column(Text, unique=True, nullable=False)
data = Column(JSON, nullable=True)
expires_at = Column(BigInteger, nullable=True)
last_used_at = Column(BigInteger, nullable=True)
created_at = Column(BigInteger, nullable=False)
updated_at = Column(BigInteger, nullable=False)
class ApiKeyModel(BaseModel):
id: str
user_id: str
key: str
data: Optional[dict] = None
expires_at: Optional[int] = None
last_used_at: Optional[int] = None
created_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
model_config = ConfigDict(from_attributes=True)
####################
# Forms
####################
@ -154,31 +95,12 @@ class UpdateProfileForm(BaseModel):
date_of_birth: Optional[datetime.date] = None
class UserGroupIdsModel(UserModel):
group_ids: list[str] = []
class UserModelResponse(UserModel):
model_config = ConfigDict(extra="allow")
class UserListResponse(BaseModel):
users: list[UserModelResponse]
users: list[UserModel]
total: int
class UserGroupIdsListResponse(BaseModel):
users: list[UserGroupIdsModel]
total: int
class UserStatus(BaseModel):
status_emoji: Optional[str] = None
status_message: Optional[str] = None
status_expires_at: Optional[int] = None
class UserInfoResponse(UserStatus):
class UserInfoResponse(BaseModel):
id: str
name: str
email: str
@ -190,12 +112,6 @@ class UserIdNameResponse(BaseModel):
name: str
class UserIdNameStatusResponse(UserStatus):
id: str
name: str
is_active: Optional[bool] = None
class UserInfoListResponse(BaseModel):
users: list[UserInfoResponse]
total: int
@ -206,18 +122,18 @@ class UserIdNameListResponse(BaseModel):
total: int
class UserResponse(BaseModel):
id: str
name: str
email: str
role: str
profile_image_url: str
class UserNameResponse(BaseModel):
id: str
name: str
role: str
class UserResponse(UserNameResponse):
email: str
class UserProfileImageResponse(UserNameResponse):
email: str
profile_image_url: str
@ -242,20 +158,20 @@ class UsersTable:
email: str,
profile_image_url: str = "/user.png",
role: str = "pending",
oauth: Optional[dict] = None,
oauth_sub: Optional[str] = None,
) -> Optional[UserModel]:
with get_db() as db:
user = UserModel(
**{
"id": id,
"email": email,
"name": name,
"email": email,
"role": role,
"profile_image_url": profile_image_url,
"last_active_at": int(time.time()),
"created_at": int(time.time()),
"updated_at": int(time.time()),
"oauth": oauth,
"oauth_sub": oauth_sub,
}
)
result = User(**user.model_dump())
@ -278,13 +194,8 @@ class UsersTable:
def get_user_by_api_key(self, api_key: str) -> Optional[UserModel]:
try:
with get_db() as db:
user = (
db.query(User)
.join(ApiKey, User.id == ApiKey.user_id)
.filter(ApiKey.key == api_key)
.first()
)
return UserModel.model_validate(user) if user else None
user = db.query(User).filter_by(api_key=api_key).first()
return UserModel.model_validate(user)
except Exception:
return None
@ -296,23 +207,12 @@ class UsersTable:
except Exception:
return None
def get_user_by_oauth_sub(self, provider: str, sub: str) -> Optional[UserModel]:
def get_user_by_oauth_sub(self, sub: str) -> Optional[UserModel]:
try:
with get_db() as db: # type: Session
dialect_name = db.bind.dialect.name
query = db.query(User)
if dialect_name == "sqlite":
query = query.filter(User.oauth.contains({provider: {"sub": sub}}))
elif dialect_name == "postgresql":
query = query.filter(
User.oauth[provider].cast(JSONB)["sub"].astext == sub
)
user = query.first()
return UserModel.model_validate(user) if user else None
except Exception as e:
# You may want to log the exception here
with get_db() as db:
user = db.query(User).filter_by(oauth_sub=sub).first()
return UserModel.model_validate(user)
except Exception:
return None
def get_users(
@ -322,7 +222,6 @@ class UsersTable:
limit: Optional[int] = None,
) -> dict:
with get_db() as db:
# Join GroupMember so we can order by group_id when requested
query = db.query(User)
if filter:
@ -335,76 +234,14 @@ class UsersTable:
)
)
channel_id = filter.get("channel_id")
if channel_id:
query = query.filter(
exists(
select(ChannelMember.id).where(
ChannelMember.user_id == User.id,
ChannelMember.channel_id == channel_id,
)
)
)
user_ids = filter.get("user_ids")
group_ids = filter.get("group_ids")
if isinstance(user_ids, list) and isinstance(group_ids, list):
# If both are empty lists, return no users
if not user_ids and not group_ids:
return {"users": [], "total": 0}
if user_ids:
query = query.filter(User.id.in_(user_ids))
if group_ids:
query = query.filter(
exists(
select(GroupMember.id).where(
GroupMember.user_id == User.id,
GroupMember.group_id.in_(group_ids),
)
)
)
roles = filter.get("roles")
if roles:
include_roles = [role for role in roles if not role.startswith("!")]
exclude_roles = [role[1:] for role in roles if role.startswith("!")]
if include_roles:
query = query.filter(User.role.in_(include_roles))
if exclude_roles:
query = query.filter(~User.role.in_(exclude_roles))
order_by = filter.get("order_by")
direction = filter.get("direction")
if order_by and order_by.startswith("group_id:"):
group_id = order_by.split(":", 1)[1]
# Subquery that checks if the user belongs to the group
membership_exists = exists(
select(GroupMember.id).where(
GroupMember.user_id == User.id,
GroupMember.group_id == group_id,
)
)
# CASE: user in group → 1, user not in group → 0
group_sort = case((membership_exists, 1), else_=0)
if direction == "asc":
query = query.order_by(group_sort.asc(), User.name.asc())
else:
query = query.order_by(group_sort.desc(), User.name.asc())
elif order_by == "name":
if order_by == "name":
if direction == "asc":
query = query.order_by(User.name.asc())
else:
query = query.order_by(User.name.desc())
elif order_by == "email":
if direction == "asc":
query = query.order_by(User.email.asc())
@ -437,32 +274,18 @@ class UsersTable:
else:
query = query.order_by(User.created_at.desc())
# Count BEFORE pagination
total = query.count()
# correct pagination logic
if skip is not None:
if skip:
query = query.offset(skip)
if limit is not None:
if limit:
query = query.limit(limit)
users = query.all()
return {
"users": [UserModel.model_validate(user) for user in users],
"total": total,
"total": db.query(User).count(),
}
def get_users_by_group_id(self, group_id: str) -> list[UserModel]:
with get_db() as db:
users = (
db.query(User)
.join(GroupMember, User.id == GroupMember.user_id)
.filter(GroupMember.group_id == group_id)
.all()
)
return [UserModel.model_validate(user) for user in users]
def get_users_by_user_ids(self, user_ids: list[str]) -> list[UserStatusModel]:
def get_users_by_user_ids(self, user_ids: list[str]) -> list[UserModel]:
with get_db() as db:
users = db.query(User).filter(User.id.in_(user_ids)).all()
return [UserModel.model_validate(user) for user in users]
@ -499,15 +322,6 @@ class UsersTable:
except Exception:
return None
def get_num_users_active_today(self) -> Optional[int]:
with get_db() as db:
current_timestamp = int(datetime.datetime.now().timestamp())
today_midnight_timestamp = current_timestamp - (current_timestamp % 86400)
query = db.query(User).filter(
User.last_active_at > today_midnight_timestamp
)
return query.count()
def update_user_role_by_id(self, id: str, role: str) -> Optional[UserModel]:
try:
with get_db() as db:
@ -518,21 +332,6 @@ class UsersTable:
except Exception:
return None
def update_user_status_by_id(
self, id: str, form_data: UserStatus
) -> Optional[UserModel]:
try:
with get_db() as db:
db.query(User).filter_by(id=id).update(
{**form_data.model_dump(exclude_none=True)}
)
db.commit()
user = db.query(User).filter_by(id=id).first()
return UserModel.model_validate(user)
except Exception:
return None
def update_user_profile_image_url_by_id(
self, id: str, profile_image_url: str
) -> Optional[UserModel]:
@ -549,7 +348,7 @@ class UsersTable:
return None
@throttle(DATABASE_USER_ACTIVE_STATUS_UPDATE_INTERVAL)
def update_last_active_by_id(self, id: str) -> Optional[UserModel]:
def update_user_last_active_by_id(self, id: str) -> Optional[UserModel]:
try:
with get_db() as db:
db.query(User).filter_by(id=id).update(
@ -562,35 +361,16 @@ class UsersTable:
except Exception:
return None
def update_user_oauth_by_id(
self, id: str, provider: str, sub: str
def update_user_oauth_sub_by_id(
self, id: str, oauth_sub: str
) -> Optional[UserModel]:
"""
Update or insert an OAuth provider/sub pair into the user's oauth JSON field.
Example resulting structure:
{
"google": { "sub": "123" },
"github": { "sub": "abc" }
}
"""
try:
with get_db() as db:
user = db.query(User).filter_by(id=id).first()
if not user:
return None
# Load existing oauth JSON or create empty
oauth = user.oauth or {}
# Update or insert provider entry
oauth[provider] = {"sub": sub}
# Persist updated JSON
db.query(User).filter_by(id=id).update({"oauth": oauth})
db.query(User).filter_by(id=id).update({"oauth_sub": oauth_sub})
db.commit()
user = db.query(User).filter_by(id=id).first()
return UserModel.model_validate(user)
except Exception:
return None
@ -644,44 +424,22 @@ class UsersTable:
except Exception:
return False
def get_user_api_key_by_id(self, id: str) -> Optional[str]:
try:
with get_db() as db:
api_key = db.query(ApiKey).filter_by(user_id=id).first()
return api_key.key if api_key else None
except Exception:
return None
def update_user_api_key_by_id(self, id: str, api_key: str) -> bool:
try:
with get_db() as db:
db.query(ApiKey).filter_by(user_id=id).delete()
result = db.query(User).filter_by(id=id).update({"api_key": api_key})
db.commit()
now = int(time.time())
new_api_key = ApiKey(
id=f"key_{id}",
user_id=id,
key=api_key,
created_at=now,
updated_at=now,
)
db.add(new_api_key)
db.commit()
return True
return True if result == 1 else False
except Exception:
return False
def delete_user_api_key_by_id(self, id: str) -> bool:
def get_user_api_key_by_id(self, id: str) -> Optional[str]:
try:
with get_db() as db:
db.query(ApiKey).filter_by(user_id=id).delete()
db.commit()
return True
user = db.query(User).filter_by(id=id).first()
return user.api_key
except Exception:
return False
return None
def get_valid_user_ids(self, user_ids: list[str]) -> list[str]:
with get_db() as db:
@ -696,23 +454,5 @@ class UsersTable:
else:
return None
def get_active_user_count(self) -> int:
with get_db() as db:
# Consider user active if last_active_at within the last 3 minutes
three_minutes_ago = int(time.time()) - 180
count = (
db.query(User).filter(User.last_active_at >= three_minutes_ago).count()
)
return count
def is_user_active(self, user_id: str) -> bool:
with get_db() as db:
user = db.query(User).filter_by(id=user_id).first()
if user and user.last_active_at:
# Consider user active if last_active_at within the last 3 minutes
three_minutes_ago = int(time.time()) - 180
return user.last_active_at >= three_minutes_ago
return False
Users = UsersTable()

View file

@ -5,7 +5,6 @@ from urllib.parse import quote
from langchain_core.document_loaders import BaseLoader
from langchain_core.documents import Document
from open_webui.utils.headers import include_user_info_headers
from open_webui.env import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
@ -19,7 +18,6 @@ class ExternalDocumentLoader(BaseLoader):
url: str,
api_key: str,
mime_type=None,
user=None,
**kwargs,
) -> None:
self.url = url
@ -28,8 +26,6 @@ class ExternalDocumentLoader(BaseLoader):
self.file_path = file_path
self.mime_type = mime_type
self.user = user
def load(self) -> List[Document]:
with open(self.file_path, "rb") as f:
data = f.read()
@ -46,9 +42,6 @@ class ExternalDocumentLoader(BaseLoader):
except:
pass
if self.user is not None:
headers = include_user_info_headers(headers, self.user)
url = self.url
if url.endswith("/"):
url = url[:-1]

View file

@ -132,9 +132,8 @@ class TikaLoader:
class DoclingLoader:
def __init__(self, url, api_key=None, file_path=None, mime_type=None, params=None):
def __init__(self, url, file_path=None, mime_type=None, params=None):
self.url = url.rstrip("/")
self.api_key = api_key
self.file_path = file_path
self.mime_type = mime_type
@ -142,10 +141,6 @@ class DoclingLoader:
def load(self) -> list[Document]:
with open(self.file_path, "rb") as f:
headers = {}
if self.api_key:
headers["Authorization"] = f"Bearer {self.api_key}"
files = {
"files": (
self.file_path,
@ -154,15 +149,60 @@ class DoclingLoader:
)
}
r = requests.post(
f"{self.url}/v1/convert/file",
files=files,
data={
"image_export_mode": "placeholder",
**self.params,
},
headers=headers,
)
params = {"image_export_mode": "placeholder"}
if self.params:
if self.params.get("do_picture_description"):
params["do_picture_description"] = self.params.get(
"do_picture_description"
)
picture_description_mode = self.params.get(
"picture_description_mode", ""
).lower()
if picture_description_mode == "local" and self.params.get(
"picture_description_local", {}
):
params["picture_description_local"] = json.dumps(
self.params.get("picture_description_local", {})
)
elif picture_description_mode == "api" and self.params.get(
"picture_description_api", {}
):
params["picture_description_api"] = json.dumps(
self.params.get("picture_description_api", {})
)
params["do_ocr"] = self.params.get("do_ocr")
params["force_ocr"] = self.params.get("force_ocr")
if (
self.params.get("do_ocr")
and self.params.get("ocr_engine")
and self.params.get("ocr_lang")
):
params["ocr_engine"] = self.params.get("ocr_engine")
params["ocr_lang"] = [
lang.strip()
for lang in self.params.get("ocr_lang").split(",")
if lang.strip()
]
if self.params.get("pdf_backend"):
params["pdf_backend"] = self.params.get("pdf_backend")
if self.params.get("table_mode"):
params["table_mode"] = self.params.get("table_mode")
if self.params.get("pipeline"):
params["pipeline"] = self.params.get("pipeline")
endpoint = f"{self.url}/v1/convert/file"
r = requests.post(endpoint, files=files, data=params)
if r.ok:
result = r.json()
document_data = result.get("document", {})
@ -171,6 +211,7 @@ class DoclingLoader:
metadata = {"Content-Type": self.mime_type} if self.mime_type else {}
log.debug("Docling extracted text: %s", text)
return [Document(page_content=text, metadata=metadata)]
else:
error_msg = f"Error calling Docling API: {r.reason}"
@ -187,7 +228,6 @@ class DoclingLoader:
class Loader:
def __init__(self, engine: str = "", **kwargs):
self.engine = engine
self.user = kwargs.get("user", None)
self.kwargs = kwargs
def load(
@ -224,7 +264,6 @@ class Loader:
url=self.kwargs.get("EXTERNAL_DOCUMENT_LOADER_URL"),
api_key=self.kwargs.get("EXTERNAL_DOCUMENT_LOADER_API_KEY"),
mime_type=file_content_type,
user=self.user,
)
elif self.engine == "tika" and self.kwargs.get("TIKA_SERVER_URL"):
if self._is_text_file(file_ext, file_content_type):
@ -233,6 +272,7 @@ class Loader:
loader = TikaLoader(
url=self.kwargs.get("TIKA_SERVER_URL"),
file_path=file_path,
mime_type=file_content_type,
extract_images=self.kwargs.get("PDF_EXTRACT_IMAGES"),
)
elif (
@ -299,7 +339,6 @@ class Loader:
loader = DoclingLoader(
url=self.kwargs.get("DOCLING_SERVER_URL"),
api_key=self.kwargs.get("DOCLING_API_KEY", None),
file_path=file_path,
mime_type=file_content_type,
params=params,
@ -322,18 +361,22 @@ class Loader:
file_path=file_path,
api_endpoint=self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT"),
api_key=self.kwargs.get("DOCUMENT_INTELLIGENCE_KEY"),
api_model=self.kwargs.get("DOCUMENT_INTELLIGENCE_MODEL"),
)
else:
loader = AzureAIDocumentIntelligenceLoader(
file_path=file_path,
api_endpoint=self.kwargs.get("DOCUMENT_INTELLIGENCE_ENDPOINT"),
azure_credential=DefaultAzureCredential(),
api_model=self.kwargs.get("DOCUMENT_INTELLIGENCE_MODEL"),
)
elif self.engine == "mineru" and file_ext in [
"pdf"
]: # MinerU currently only supports PDF
"pdf",
"doc",
"docx",
"ppt",
"pptx",
"xls",
"xlsx",
]:
loader = MinerULoader(
file_path=file_path,
api_mode=self.kwargs.get("MINERU_API_MODE", "local"),
@ -348,9 +391,16 @@ class Loader:
in ["pdf"] # Mistral OCR currently only supports PDF and images
):
loader = MistralLoader(
base_url=self.kwargs.get("MISTRAL_OCR_API_BASE_URL"),
api_key=self.kwargs.get("MISTRAL_OCR_API_KEY"),
file_path=file_path,
api_key=self.kwargs.get("MISTRAL_OCR_API_KEY"), file_path=file_path
)
elif (
self.engine == "external"
and self.kwargs.get("MISTRAL_OCR_API_KEY") != ""
and file_ext
in ["pdf"] # Mistral OCR currently only supports PDF and images
):
loader = MistralLoader(
api_key=self.kwargs.get("MISTRAL_OCR_API_KEY"), file_path=file_path
)
else:
if file_ext == "pdf":

View file

@ -33,14 +33,13 @@ class MinerULoader:
self.api_key = api_key
# Parse params dict with defaults
self.params = params or {}
params = params or {}
self.enable_ocr = params.get("enable_ocr", False)
self.enable_formula = params.get("enable_formula", True)
self.enable_table = params.get("enable_table", True)
self.language = params.get("language", "en")
self.model_version = params.get("model_version", "pipeline")
self.page_ranges = self.params.pop("page_ranges", "")
self.page_ranges = params.get("page_ranges", "")
# Validate API mode
if self.api_mode not in ["local", "cloud"]:
@ -77,10 +76,27 @@ class MinerULoader:
# Build form data for Local API
form_data = {
**self.params,
"return_md": "true",
"formula_enable": str(self.enable_formula).lower(),
"table_enable": str(self.enable_table).lower(),
}
# Parse method based on OCR setting
if self.enable_ocr:
form_data["parse_method"] = "ocr"
else:
form_data["parse_method"] = "auto"
# Language configuration (Local API uses lang_list array)
if self.language:
form_data["lang_list"] = self.language
# Backend/model version (Local API uses "backend" parameter)
if self.model_version == "vlm":
form_data["backend"] = "vlm-vllm-engine"
else:
form_data["backend"] = "pipeline"
# Page ranges (Local API uses start_page_id and end_page_id)
if self.page_ranges:
# For simplicity, if page_ranges is specified, log a warning
@ -220,7 +236,10 @@ class MinerULoader:
# Build request body
request_body = {
**self.params,
"enable_formula": self.enable_formula,
"enable_table": self.enable_table,
"language": self.language,
"model_version": self.model_version,
"files": [
{
"name": filename,

View file

@ -30,9 +30,10 @@ class MistralLoader:
- Enhanced error handling with retryable error classification
"""
BASE_API_URL = "https://api.mistral.ai/v1"
def __init__(
self,
base_url: str,
api_key: str,
file_path: str,
timeout: int = 300, # 5 minutes default
@ -54,9 +55,6 @@ class MistralLoader:
if not os.path.exists(file_path):
raise FileNotFoundError(f"File not found at {file_path}")
self.base_url = (
base_url.rstrip("/") if base_url else "https://api.mistral.ai/v1"
)
self.api_key = api_key
self.file_path = file_path
self.timeout = timeout
@ -242,7 +240,7 @@ class MistralLoader:
in a context manager to minimize memory usage duration.
"""
log.info("Uploading file to Mistral API")
url = f"{self.base_url}/files"
url = f"{self.BASE_API_URL}/files"
def upload_request():
# MEMORY OPTIMIZATION: Use context manager to minimize file handle lifetime
@ -277,7 +275,7 @@ class MistralLoader:
async def _upload_file_async(self, session: aiohttp.ClientSession) -> str:
"""Async file upload with streaming for better memory efficiency."""
url = f"{self.base_url}/files"
url = f"{self.BASE_API_URL}/files"
async def upload_request():
# Create multipart writer for streaming upload
@ -323,7 +321,7 @@ class MistralLoader:
def _get_signed_url(self, file_id: str) -> str:
"""Retrieves a temporary signed URL for the uploaded file (sync version)."""
log.info(f"Getting signed URL for file ID: {file_id}")
url = f"{self.base_url}/files/{file_id}/url"
url = f"{self.BASE_API_URL}/files/{file_id}/url"
params = {"expiry": 1}
signed_url_headers = {**self.headers, "Accept": "application/json"}
@ -348,7 +346,7 @@ class MistralLoader:
self, session: aiohttp.ClientSession, file_id: str
) -> str:
"""Async signed URL retrieval."""
url = f"{self.base_url}/files/{file_id}/url"
url = f"{self.BASE_API_URL}/files/{file_id}/url"
params = {"expiry": 1}
headers = {**self.headers, "Accept": "application/json"}
@ -375,7 +373,7 @@ class MistralLoader:
def _process_ocr(self, signed_url: str) -> Dict[str, Any]:
"""Sends the signed URL to the OCR endpoint for processing (sync version)."""
log.info("Processing OCR via Mistral API")
url = f"{self.base_url}/ocr"
url = f"{self.BASE_API_URL}/ocr"
ocr_headers = {
**self.headers,
"Content-Type": "application/json",
@ -409,7 +407,7 @@ class MistralLoader:
self, session: aiohttp.ClientSession, signed_url: str
) -> Dict[str, Any]:
"""Async OCR processing with timing metrics."""
url = f"{self.base_url}/ocr"
url = f"{self.BASE_API_URL}/ocr"
headers = {
**self.headers,
@ -448,7 +446,7 @@ class MistralLoader:
def _delete_file(self, file_id: str) -> None:
"""Deletes the file from Mistral storage (sync version)."""
log.info(f"Deleting uploaded file ID: {file_id}")
url = f"{self.base_url}/files/{file_id}"
url = f"{self.BASE_API_URL}/files/{file_id}"
try:
response = requests.delete(
@ -469,7 +467,7 @@ class MistralLoader:
async def delete_request():
self._debug_log(f"Deleting file ID: {file_id}")
async with session.delete(
url=f"{self.base_url}/files/{file_id}",
url=f"{self.BASE_API_URL}/files/{file_id}",
headers=self.headers,
timeout=aiohttp.ClientTimeout(
total=self.cleanup_timeout

View file

@ -83,7 +83,6 @@ class YoutubeLoader:
TranscriptsDisabled,
YouTubeTranscriptApi,
)
from youtube_transcript_api.proxies import GenericProxyConfig
except ImportError:
raise ImportError(
'Could not import "youtube_transcript_api" Python package. '
@ -91,9 +90,10 @@ class YoutubeLoader:
)
if self.proxy_url:
youtube_proxies = GenericProxyConfig(
http_url=self.proxy_url, https_url=self.proxy_url
)
youtube_proxies = {
"http": self.proxy_url,
"https": self.proxy_url,
}
log.debug(f"Using proxy URL: {self.proxy_url[:14]}...")
else:
youtube_proxies = None

View file

@ -6,7 +6,6 @@ from urllib.parse import quote
from open_webui.env import ENABLE_FORWARD_USER_INFO_HEADERS, SRC_LOG_LEVELS
from open_webui.retrieval.models.base_reranker import BaseReranker
from open_webui.utils.headers import include_user_info_headers
log = logging.getLogger(__name__)
@ -41,17 +40,22 @@ class ExternalReranker(BaseReranker):
log.info(f"ExternalReranker:predict:model {self.model}")
log.info(f"ExternalReranker:predict:query {query}")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {self.api_key}",
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.post(
f"{self.url}",
headers=headers,
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,
)

View file

@ -1,10 +1,8 @@
import logging
import os
from typing import Awaitable, Optional, Union
from typing import Optional, Union
import requests
import aiohttp
import asyncio
import hashlib
from concurrent.futures import ThreadPoolExecutor
import time
@ -29,7 +27,6 @@ from open_webui.models.notes import Notes
from open_webui.retrieval.vector.main import GetResult
from open_webui.utils.access_control import has_access
from open_webui.utils.headers import include_user_info_headers
from open_webui.utils.misc import get_message_list
from open_webui.retrieval.web.utils import get_web_loader
@ -74,7 +71,6 @@ def get_loader(request, url: str):
url,
verify_ssl=request.app.state.config.ENABLE_WEB_LOADER_SSL_VERIFICATION,
requests_per_second=request.app.state.config.WEB_LOADER_CONCURRENT_REQUESTS,
trust_env=request.app.state.config.WEB_SEARCH_TRUST_ENV,
)
@ -91,29 +87,14 @@ class VectorSearchRetriever(BaseRetriever):
top_k: int
def _get_relevant_documents(
self, query: str, *, run_manager: CallbackManagerForRetrieverRun
) -> list[Document]:
"""Get documents relevant to a query.
Args:
query: String to find relevant documents for.
run_manager: The callback handler to use.
Returns:
List of relevant documents.
"""
return []
async def _aget_relevant_documents(
self,
query: str,
*,
run_manager: CallbackManagerForRetrieverRun,
) -> list[Document]:
embedding = await self.embedding_function(query, RAG_EMBEDDING_QUERY_PREFIX)
result = VECTOR_DB_CLIENT.search(
collection_name=self.collection_name,
vectors=[embedding],
vectors=[self.embedding_function(query, RAG_EMBEDDING_QUERY_PREFIX)],
limit=self.top_k,
)
@ -166,45 +147,7 @@ def get_doc(collection_name: str, user: UserModel = None):
raise e
def get_enriched_texts(collection_result: GetResult) -> list[str]:
enriched_texts = []
for idx, text in enumerate(collection_result.documents[0]):
metadata = collection_result.metadatas[0][idx]
metadata_parts = [text]
# Add filename (repeat twice for extra weight in BM25 scoring)
if metadata.get("name"):
filename = metadata["name"]
filename_tokens = (
filename.replace("_", " ").replace("-", " ").replace(".", " ")
)
metadata_parts.append(
f"Filename: {filename} {filename_tokens} {filename_tokens}"
)
# Add title if available
if metadata.get("title"):
metadata_parts.append(f"Title: {metadata['title']}")
# Add document section headings if available (from markdown splitter)
if metadata.get("headings") and isinstance(metadata["headings"], list):
headings = " > ".join(str(h) for h in metadata["headings"])
metadata_parts.append(f"Section: {headings}")
# Add source URL/path if available
if metadata.get("source"):
metadata_parts.append(f"Source: {metadata['source']}")
# Add snippet for web search results
if metadata.get("snippet"):
metadata_parts.append(f"Snippet: {metadata['snippet']}")
enriched_texts.append(" ".join(metadata_parts))
return enriched_texts
async def query_doc_with_hybrid_search(
def query_doc_with_hybrid_search(
collection_name: str,
collection_result: GetResult,
query: str,
@ -214,21 +157,12 @@ async def query_doc_with_hybrid_search(
k_reranker: int,
r: float,
hybrid_bm25_weight: float,
enable_enriched_texts: bool = False,
) -> dict:
try:
# First check if collection_result has the required attributes
if (
not collection_result
or not hasattr(collection_result, "documents")
or not hasattr(collection_result, "metadatas")
):
log.warning(f"query_doc_with_hybrid_search:no_docs {collection_name}")
return {"documents": [], "metadatas": [], "distances": []}
# Now safely check the documents content after confirming attributes exist
if (
not collection_result.documents
or not collection_result.documents
or len(collection_result.documents) == 0
or not collection_result.documents[0]
):
@ -237,14 +171,8 @@ async def query_doc_with_hybrid_search(
log.debug(f"query_doc_with_hybrid_search:doc {collection_name}")
bm25_texts = (
get_enriched_texts(collection_result)
if enable_enriched_texts
else collection_result.documents[0]
)
bm25_retriever = BM25Retriever.from_texts(
texts=bm25_texts,
texts=collection_result.documents[0],
metadatas=collection_result.metadatas[0],
)
bm25_retriever.k = k
@ -280,7 +208,7 @@ async def query_doc_with_hybrid_search(
base_compressor=compressor, base_retriever=ensemble_retriever
)
result = await compression_retriever.ainvoke(query)
result = compression_retriever.invoke(query)
distances = [d.metadata.get("score") for d in result]
documents = [d.page_content for d in result]
@ -399,7 +327,7 @@ def get_all_items_from_collections(collection_names: list[str]) -> dict:
return merge_get_results(results)
async def query_collection(
def query_collection(
collection_names: list[str],
queries: list[str],
embedding_function,
@ -424,9 +352,7 @@ async def query_collection(
return None, e
# Generate all query embeddings (in one call)
query_embeddings = await embedding_function(
queries, prefix=RAG_EMBEDDING_QUERY_PREFIX
)
query_embeddings = embedding_function(queries, prefix=RAG_EMBEDDING_QUERY_PREFIX)
log.debug(
f"query_collection: processing {len(queries)} queries across {len(collection_names)} collections"
)
@ -453,7 +379,7 @@ async def query_collection(
return merge_and_sort_query_results(results, k=k)
async def query_collection_with_hybrid_search(
def query_collection_with_hybrid_search(
collection_names: list[str],
queries: list[str],
embedding_function,
@ -462,7 +388,6 @@ async def query_collection_with_hybrid_search(
k_reranker: int,
r: float,
hybrid_bm25_weight: float,
enable_enriched_texts: bool = False,
) -> dict:
results = []
error = False
@ -485,9 +410,9 @@ async def query_collection_with_hybrid_search(
f"Starting hybrid search for {len(queries)} queries in {len(collection_names)} collections..."
)
async def process_query(collection_name, query):
def process_query(collection_name, query):
try:
result = await query_doc_with_hybrid_search(
result = query_doc_with_hybrid_search(
collection_name=collection_name,
collection_result=collection_results[collection_name],
query=query,
@ -497,7 +422,6 @@ async def query_collection_with_hybrid_search(
k_reranker=k_reranker,
r=r,
hybrid_bm25_weight=hybrid_bm25_weight,
enable_enriched_texts=enable_enriched_texts,
)
return result, None
except Exception as e:
@ -507,16 +431,15 @@ async def query_collection_with_hybrid_search(
# Prepare tasks for all collections and queries
# Avoid running any tasks for collections that failed to fetch data (have assigned None)
tasks = [
(collection_name, query)
for collection_name in collection_names
if collection_results[collection_name] is not None
for query in queries
(cn, q)
for cn in collection_names
if collection_results[cn] is not None
for q in queries
]
# Run all queries in parallel using asyncio.gather
task_results = await asyncio.gather(
*[process_query(collection_name, query) for collection_name, query in tasks]
)
with ThreadPoolExecutor() as executor:
future_results = [executor.submit(process_query, cn, q) for cn, q in tasks]
task_results = [future.result() for future in future_results]
for result, err in task_results:
if err is not None:
@ -532,248 +455,6 @@ async def query_collection_with_hybrid_search(
return merge_and_sort_query_results(results, k=k)
def generate_openai_batch_embeddings(
model: str,
texts: list[str],
url: str = "https://api.openai.com/v1",
key: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"generate_openai_batch_embeddings:model {model} batch size: {len(texts)}"
)
json_data = {"input": texts, "model": model}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {key}",
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.post(
f"{url}/embeddings",
headers=headers,
json=json_data,
)
r.raise_for_status()
data = r.json()
if "data" in data:
return [elem["embedding"] for elem in data["data"]]
else:
raise "Something went wrong :/"
except Exception as e:
log.exception(f"Error generating openai batch embeddings: {e}")
return None
async def agenerate_openai_batch_embeddings(
model: str,
texts: list[str],
url: str = "https://api.openai.com/v1",
key: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"agenerate_openai_batch_embeddings:model {model} batch size: {len(texts)}"
)
form_data = {"input": texts, "model": model}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
form_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {key}",
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
async with aiohttp.ClientSession(trust_env=True) as session:
async with session.post(
f"{url}/embeddings", headers=headers, json=form_data
) as r:
r.raise_for_status()
data = await r.json()
if "data" in data:
return [item["embedding"] for item in data["data"]]
else:
raise Exception("Something went wrong :/")
except Exception as e:
log.exception(f"Error generating openai batch embeddings: {e}")
return None
def generate_azure_openai_batch_embeddings(
model: str,
texts: list[str],
url: str,
key: str = "",
version: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"generate_azure_openai_batch_embeddings:deployment {model} batch size: {len(texts)}"
)
json_data = {"input": texts}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
url = f"{url}/openai/deployments/{model}/embeddings?api-version={version}"
for _ in range(5):
headers = {
"Content-Type": "application/json",
"api-key": key,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.post(
url,
headers=headers,
json=json_data,
)
if r.status_code == 429:
retry = float(r.headers.get("Retry-After", "1"))
time.sleep(retry)
continue
r.raise_for_status()
data = r.json()
if "data" in data:
return [elem["embedding"] for elem in data["data"]]
else:
raise Exception("Something went wrong :/")
return None
except Exception as e:
log.exception(f"Error generating azure openai batch embeddings: {e}")
return None
async def agenerate_azure_openai_batch_embeddings(
model: str,
texts: list[str],
url: str,
key: str = "",
version: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"agenerate_azure_openai_batch_embeddings:deployment {model} batch size: {len(texts)}"
)
form_data = {"input": texts}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
form_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
full_url = f"{url}/openai/deployments/{model}/embeddings?api-version={version}"
headers = {
"Content-Type": "application/json",
"api-key": key,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
async with aiohttp.ClientSession(trust_env=True) as session:
async with session.post(full_url, headers=headers, json=form_data) as r:
r.raise_for_status()
data = await r.json()
if "data" in data:
return [item["embedding"] for item in data["data"]]
else:
raise Exception("Something went wrong :/")
except Exception as e:
log.exception(f"Error generating azure openai batch embeddings: {e}")
return None
def generate_ollama_batch_embeddings(
model: str,
texts: list[str],
url: str,
key: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"generate_ollama_batch_embeddings:model {model} batch size: {len(texts)}"
)
json_data = {"input": texts, "model": model}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {key}",
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.post(
f"{url}/api/embed",
headers=headers,
json=json_data,
)
r.raise_for_status()
data = r.json()
if "embeddings" in data:
return data["embeddings"]
else:
raise "Something went wrong :/"
except Exception as e:
log.exception(f"Error generating ollama batch embeddings: {e}")
return None
async def agenerate_ollama_batch_embeddings(
model: str,
texts: list[str],
url: str,
key: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"agenerate_ollama_batch_embeddings:model {model} batch size: {len(texts)}"
)
form_data = {"input": texts, "model": model}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
form_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {key}",
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
async with aiohttp.ClientSession(trust_env=True) as session:
async with session.post(
f"{url}/api/embed", headers=headers, json=form_data
) as r:
r.raise_for_status()
data = await r.json()
if "embeddings" in data:
return data["embeddings"]
else:
raise Exception("Something went wrong :/")
except Exception as e:
log.exception(f"Error generating ollama batch embeddings: {e}")
return None
def get_embedding_function(
embedding_engine,
embedding_model,
@ -782,24 +463,13 @@ def get_embedding_function(
key,
embedding_batch_size,
azure_api_version=None,
enable_async=True,
) -> Awaitable:
):
if embedding_engine == "":
# Sentence transformers: CPU-bound sync operation
async def async_embedding_function(query, prefix=None, user=None):
return await asyncio.to_thread(
(
lambda query, prefix=None: embedding_function.encode(
query, **({"prompt": prefix} if prefix else {})
).tolist()
),
query,
prefix,
)
return async_embedding_function
return lambda query, prefix=None, user=None: embedding_function.encode(
query, **({"prompt": prefix} if prefix else {})
).tolist()
elif embedding_engine in ["ollama", "openai", "azure_openai"]:
embedding_function = lambda query, prefix=None, user=None: generate_embeddings(
func = lambda query, prefix=None, user=None: generate_embeddings(
engine=embedding_engine,
model=embedding_model,
text=query,
@ -810,114 +480,41 @@ def get_embedding_function(
azure_api_version=azure_api_version,
)
async def async_embedding_function(query, prefix=None, user=None):
def generate_multiple(query, prefix, user, func):
if isinstance(query, list):
# Create batches
batches = [
query[i : i + embedding_batch_size]
for i in range(0, len(query), embedding_batch_size)
]
if enable_async:
log.debug(
f"generate_multiple_async: Processing {len(batches)} batches in parallel"
)
# Execute all batches in parallel
tasks = [
embedding_function(batch, prefix=prefix, user=user)
for batch in batches
]
batch_results = await asyncio.gather(*tasks)
else:
log.debug(
f"generate_multiple_async: Processing {len(batches)} batches sequentially"
)
batch_results = []
for batch in batches:
batch_results.append(
await embedding_function(batch, prefix=prefix, user=user)
)
# Flatten results
embeddings = []
for batch_embeddings in batch_results:
for i in range(0, len(query), embedding_batch_size):
batch_embeddings = func(
query[i : i + embedding_batch_size],
prefix=prefix,
user=user,
)
if isinstance(batch_embeddings, list):
embeddings.extend(batch_embeddings)
log.debug(
f"generate_multiple_async: Generated {len(embeddings)} embeddings from {len(batches)} parallel batches"
)
return embeddings
else:
return await embedding_function(query, prefix, user)
return func(query, prefix, user)
return async_embedding_function
return lambda query, prefix=None, user=None: generate_multiple(
query, prefix, user, func
)
else:
raise ValueError(f"Unknown embedding engine: {embedding_engine}")
async def generate_embeddings(
engine: str,
model: str,
text: Union[str, list[str]],
prefix: Union[str, None] = None,
**kwargs,
):
url = kwargs.get("url", "")
key = kwargs.get("key", "")
user = kwargs.get("user")
if prefix is not None and RAG_EMBEDDING_PREFIX_FIELD_NAME is None:
if isinstance(text, list):
text = [f"{prefix}{text_element}" for text_element in text]
else:
text = f"{prefix}{text}"
if engine == "ollama":
embeddings = await agenerate_ollama_batch_embeddings(
**{
"model": model,
"texts": text if isinstance(text, list) else [text],
"url": url,
"key": key,
"prefix": prefix,
"user": user,
}
)
return embeddings[0] if isinstance(text, str) else embeddings
elif engine == "openai":
embeddings = await agenerate_openai_batch_embeddings(
model, text if isinstance(text, list) else [text], url, key, prefix, user
)
return embeddings[0] if isinstance(text, str) else embeddings
elif engine == "azure_openai":
azure_api_version = kwargs.get("azure_api_version", "")
embeddings = await agenerate_azure_openai_batch_embeddings(
model,
text if isinstance(text, list) else [text],
url,
key,
azure_api_version,
prefix,
user,
)
return embeddings[0] if isinstance(text, str) else embeddings
def get_reranking_function(reranking_engine, reranking_model, reranking_function):
if reranking_function is None:
return None
if reranking_engine == "external":
return lambda query, documents, user=None: reranking_function.predict(
[(query, doc.page_content) for doc in documents], user=user
return lambda sentences, user=None: reranking_function.predict(
sentences, user=user
)
else:
return lambda query, documents, user=None: reranking_function.predict(
[(query, doc.page_content) for doc in documents]
)
return lambda sentences, user=None: reranking_function.predict(sentences)
async def get_sources_from_items(
def get_sources_from_items(
request,
items,
queries,
@ -1071,47 +668,46 @@ async def get_sources_from_items(
collection_names.append(f"file-{item['id']}")
elif item.get("type") == "collection":
# Manual Full Mode Toggle for Collection
knowledge_base = Knowledges.get_knowledge_by_id(item.get("id"))
if knowledge_base and (
user.role == "admin"
or knowledge_base.user_id == user.id
or has_access(user.id, "read", knowledge_base.access_control)
if (
item.get("context") == "full"
or request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
):
if (
item.get("context") == "full"
or request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
):
if knowledge_base and (
user.role == "admin"
or knowledge_base.user_id == user.id
or has_access(user.id, "read", knowledge_base.access_control)
):
files = Knowledges.get_files_by_id(knowledge_base.id)
# Manual Full Mode Toggle for Collection
knowledge_base = Knowledges.get_knowledge_by_id(item.get("id"))
documents = []
metadatas = []
for file in files:
documents.append(file.data.get("content", ""))
if knowledge_base and (
user.role == "admin"
or knowledge_base.user_id == user.id
or has_access(user.id, "read", knowledge_base.access_control)
):
file_ids = knowledge_base.data.get("file_ids", [])
documents = []
metadatas = []
for file_id in file_ids:
file_object = Files.get_file_by_id(file_id)
if file_object:
documents.append(file_object.data.get("content", ""))
metadatas.append(
{
"file_id": file.id,
"name": file.filename,
"source": file.filename,
"file_id": file_id,
"name": file_object.filename,
"source": file_object.filename,
}
)
query_result = {
"documents": [documents],
"metadatas": [metadatas],
}
query_result = {
"documents": [documents],
"metadatas": [metadatas],
}
else:
# Fallback to collection names
if item.get("legacy"):
collection_names = item.get("collection_names", [])
else:
# Fallback to collection names
if item.get("legacy"):
collection_names = item.get("collection_names", [])
else:
collection_names.append(item["id"])
collection_names.append(item["id"])
elif item.get("docs"):
# BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL
@ -1141,7 +737,7 @@ async def get_sources_from_items(
query_result = None # Initialize to None
if hybrid_search:
try:
query_result = await query_collection_with_hybrid_search(
query_result = query_collection_with_hybrid_search(
collection_names=collection_names,
queries=queries,
embedding_function=embedding_function,
@ -1150,7 +746,6 @@ async def get_sources_from_items(
k_reranker=k_reranker,
r=r,
hybrid_bm25_weight=hybrid_bm25_weight,
enable_enriched_texts=request.app.state.config.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS,
)
except Exception as e:
log.debug(
@ -1159,7 +754,7 @@ async def get_sources_from_items(
# fallback to non-hybrid search
if not hybrid_search and query_result is None:
query_result = await query_collection(
query_result = query_collection(
collection_names=collection_names,
queries=queries,
embedding_function=embedding_function,
@ -1235,6 +830,199 @@ def get_model_path(model: str, update_model: bool = False):
return model
def generate_openai_batch_embeddings(
model: str,
texts: list[str],
url: str = "https://api.openai.com/v1",
key: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"generate_openai_batch_embeddings:model {model} batch size: {len(texts)}"
)
json_data = {"input": texts, "model": model}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
r = requests.post(
f"{url}/embeddings",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {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=json_data,
)
r.raise_for_status()
data = r.json()
if "data" in data:
return [elem["embedding"] for elem in data["data"]]
else:
raise "Something went wrong :/"
except Exception as e:
log.exception(f"Error generating openai batch embeddings: {e}")
return None
def generate_azure_openai_batch_embeddings(
model: str,
texts: list[str],
url: str,
key: str = "",
version: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"generate_azure_openai_batch_embeddings:deployment {model} batch size: {len(texts)}"
)
json_data = {"input": texts}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
url = f"{url}/openai/deployments/{model}/embeddings?api-version={version}"
for _ in range(5):
r = requests.post(
url,
headers={
"Content-Type": "application/json",
"api-key": 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=json_data,
)
if r.status_code == 429:
retry = float(r.headers.get("Retry-After", "1"))
time.sleep(retry)
continue
r.raise_for_status()
data = r.json()
if "data" in data:
return [elem["embedding"] for elem in data["data"]]
else:
raise Exception("Something went wrong :/")
return None
except Exception as e:
log.exception(f"Error generating azure openai batch embeddings: {e}")
return None
def generate_ollama_batch_embeddings(
model: str,
texts: list[str],
url: str,
key: str = "",
prefix: str = None,
user: UserModel = None,
) -> Optional[list[list[float]]]:
try:
log.debug(
f"generate_ollama_batch_embeddings:model {model} batch size: {len(texts)}"
)
json_data = {"input": texts, "model": model}
if isinstance(RAG_EMBEDDING_PREFIX_FIELD_NAME, str) and isinstance(prefix, str):
json_data[RAG_EMBEDDING_PREFIX_FIELD_NAME] = prefix
r = requests.post(
f"{url}/api/embed",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {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
else {}
),
},
json=json_data,
)
r.raise_for_status()
data = r.json()
if "embeddings" in data:
return data["embeddings"]
else:
raise "Something went wrong :/"
except Exception as e:
log.exception(f"Error generating ollama batch embeddings: {e}")
return None
def generate_embeddings(
engine: str,
model: str,
text: Union[str, list[str]],
prefix: Union[str, None] = None,
**kwargs,
):
url = kwargs.get("url", "")
key = kwargs.get("key", "")
user = kwargs.get("user")
if prefix is not None and RAG_EMBEDDING_PREFIX_FIELD_NAME is None:
if isinstance(text, list):
text = [f"{prefix}{text_element}" for text_element in text]
else:
text = f"{prefix}{text}"
if engine == "ollama":
embeddings = generate_ollama_batch_embeddings(
**{
"model": model,
"texts": text if isinstance(text, list) else [text],
"url": url,
"key": key,
"prefix": prefix,
"user": user,
}
)
return embeddings[0] if isinstance(text, str) else embeddings
elif engine == "openai":
embeddings = generate_openai_batch_embeddings(
model, text if isinstance(text, list) else [text], url, key, prefix, user
)
return embeddings[0] if isinstance(text, str) else embeddings
elif engine == "azure_openai":
azure_api_version = kwargs.get("azure_api_version", "")
embeddings = generate_azure_openai_batch_embeddings(
model,
text if isinstance(text, list) else [text],
url,
key,
azure_api_version,
prefix,
user,
)
return embeddings[0] if isinstance(text, str) else embeddings
import operator
from typing import Optional, Sequence
@ -1257,38 +1045,19 @@ class RerankCompressor(BaseDocumentCompressor):
documents: Sequence[Document],
query: str,
callbacks: Optional[Callbacks] = None,
) -> Sequence[Document]:
"""Compress retrieved documents given the query context.
Args:
documents: The retrieved documents.
query: The query context.
callbacks: Optional callbacks to run during compression.
Returns:
The compressed documents.
"""
return []
async def acompress_documents(
self,
documents: Sequence[Document],
query: str,
callbacks: Optional[Callbacks] = None,
) -> Sequence[Document]:
reranking = self.reranking_function is not None
scores = None
if reranking:
scores = self.reranking_function(query, documents)
scores = self.reranking_function(
[(query, doc.page_content) for doc in documents]
)
else:
from sentence_transformers import util
query_embedding = await self.embedding_function(
query, RAG_EMBEDDING_QUERY_PREFIX
)
document_embedding = await self.embedding_function(
query_embedding = self.embedding_function(query, RAG_EMBEDDING_QUERY_PREFIX)
document_embedding = self.embedding_function(
[doc.page_content for doc in documents], RAG_EMBEDDING_CONTENT_PREFIX
)
scores = util.cos_sim(query_embedding, document_embedding)[0]

View file

@ -200,24 +200,23 @@ class MilvusClient(VectorDBBase):
def query(self, collection_name: str, filter: dict, limit: int = -1):
connections.connect(uri=MILVUS_URI, token=MILVUS_TOKEN, db_name=MILVUS_DB)
# Construct the filter string for querying
collection_name = collection_name.replace("-", "_")
if not self.has_collection(collection_name):
log.warning(
f"Query attempted on non-existent collection: {self.collection_prefix}_{collection_name}"
)
return None
filter_expressions = []
for key, value in filter.items():
if isinstance(value, str):
filter_expressions.append(f'metadata["{key}"] == "{value}"')
else:
filter_expressions.append(f'metadata["{key}"] == {value}')
filter_string = " && ".join(filter_expressions)
filter_string = " && ".join(
[
f'metadata["{key}"] == {json.dumps(value)}'
for key, value in filter.items()
]
)
collection = Collection(f"{self.collection_prefix}_{collection_name}")
collection.load()
all_results = []
try:
log.info(
@ -225,25 +224,24 @@ class MilvusClient(VectorDBBase):
)
iterator = collection.query_iterator(
expr=filter_string,
filter=filter_string,
output_fields=[
"id",
"data",
"metadata",
],
limit=limit if limit > 0 else -1,
limit=limit, # Pass the limit directly; -1 means no limit.
)
all_results = []
while True:
batch = iterator.next()
if not batch:
result = iterator.next()
if not result:
iterator.close()
break
all_results.extend(batch)
all_results += result
log.debug(f"Total results from query: {len(all_results)}")
return self._result_to_get_result([all_results] if all_results else [[]])
log.info(f"Total results from query: {len(all_results)}")
return self._result_to_get_result([all_results])
except Exception as e:
log.exception(

View file

@ -157,6 +157,7 @@ class MilvusClient(VectorDBBase):
for item in items
]
collection.insert(entities)
collection.flush()
def search(
self, collection_name: str, vectors: List[List[float]], limit: int
@ -262,23 +263,15 @@ class MilvusClient(VectorDBBase):
else:
expr.append(f"metadata['{key}'] == {value}")
iterator = collection.query_iterator(
results = collection.query(
expr=" and ".join(expr),
output_fields=["id", "text", "metadata"],
limit=limit if limit else -1,
limit=limit,
)
all_results = []
while True:
batch = iterator.next()
if not batch:
iterator.close()
break
all_results.extend(batch)
ids = [res["id"] for res in all_results]
documents = [res["text"] for res in all_results]
metadatas = [res["metadata"] for res in all_results]
ids = [res["id"] for res in results]
documents = [res["text"] for res in results]
metadatas = [res["metadata"] for res in results]
return GetResult(ids=[ids], documents=[documents], metadatas=[metadatas])

View file

@ -1,4 +1,4 @@
from typing import Optional, List, Dict, Any, Tuple
from typing import Optional, List, Dict, Any
import logging
import json
from sqlalchemy import (
@ -22,7 +22,7 @@ from sqlalchemy.pool import NullPool, QueuePool
from sqlalchemy.orm import declarative_base, scoped_session, sessionmaker
from sqlalchemy.dialects.postgresql import JSONB, array
from pgvector.sqlalchemy import Vector, HALFVEC
from pgvector.sqlalchemy import Vector
from sqlalchemy.ext.mutable import MutableDict
from sqlalchemy.exc import NoSuchTableError
@ -44,20 +44,11 @@ from open_webui.config import (
PGVECTOR_POOL_MAX_OVERFLOW,
PGVECTOR_POOL_TIMEOUT,
PGVECTOR_POOL_RECYCLE,
PGVECTOR_INDEX_METHOD,
PGVECTOR_HNSW_M,
PGVECTOR_HNSW_EF_CONSTRUCTION,
PGVECTOR_IVFFLAT_LISTS,
PGVECTOR_USE_HALFVEC,
)
from open_webui.env import SRC_LOG_LEVELS
VECTOR_LENGTH = PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH
USE_HALFVEC = PGVECTOR_USE_HALFVEC
VECTOR_TYPE_FACTORY = HALFVEC if USE_HALFVEC else Vector
VECTOR_OPCLASS = "halfvec_cosine_ops" if USE_HALFVEC else "vector_cosine_ops"
Base = declarative_base()
log = logging.getLogger(__name__)
@ -76,7 +67,7 @@ class DocumentChunk(Base):
__tablename__ = "document_chunk"
id = Column(Text, primary_key=True)
vector = Column(VECTOR_TYPE_FACTORY(dim=VECTOR_LENGTH), nullable=True)
vector = Column(Vector(dim=VECTOR_LENGTH), nullable=True)
collection_name = Column(Text, nullable=False)
if PGVECTOR_PGCRYPTO:
@ -166,9 +157,13 @@ class PgvectorClient(VectorDBBase):
connection = self.session.connection()
Base.metadata.create_all(bind=connection)
index_method, index_options = self._vector_index_configuration()
self._ensure_vector_index(index_method, index_options)
# Create an index on the vector column if it doesn't exist
self.session.execute(
text(
"CREATE INDEX IF NOT EXISTS idx_document_chunk_vector "
"ON document_chunk USING ivfflat (vector vector_cosine_ops) WITH (lists = 100);"
)
)
self.session.execute(
text(
"CREATE INDEX IF NOT EXISTS idx_document_chunk_collection_name "
@ -182,78 +177,6 @@ class PgvectorClient(VectorDBBase):
log.exception(f"Error during initialization: {e}")
raise
@staticmethod
def _extract_index_method(index_def: Optional[str]) -> Optional[str]:
if not index_def:
return None
try:
after_using = index_def.lower().split("using ", 1)[1]
return after_using.split()[0]
except (IndexError, AttributeError):
return None
def _vector_index_configuration(self) -> Tuple[str, str]:
if PGVECTOR_INDEX_METHOD:
index_method = PGVECTOR_INDEX_METHOD
log.info(
"Using vector index method '%s' from PGVECTOR_INDEX_METHOD.",
index_method,
)
elif USE_HALFVEC:
index_method = "hnsw"
log.info(
"VECTOR_LENGTH=%s exceeds 2000; using halfvec column type with hnsw index.",
VECTOR_LENGTH,
)
else:
index_method = "ivfflat"
if index_method == "hnsw":
index_options = f"WITH (m = {PGVECTOR_HNSW_M}, ef_construction = {PGVECTOR_HNSW_EF_CONSTRUCTION})"
else:
index_options = f"WITH (lists = {PGVECTOR_IVFFLAT_LISTS})"
return index_method, index_options
def _ensure_vector_index(self, index_method: str, index_options: str) -> None:
index_name = "idx_document_chunk_vector"
existing_index_def = self.session.execute(
text(
"""
SELECT indexdef
FROM pg_indexes
WHERE schemaname = current_schema()
AND tablename = 'document_chunk'
AND indexname = :index_name
"""
),
{"index_name": index_name},
).scalar()
existing_method = self._extract_index_method(existing_index_def)
if existing_method and existing_method != index_method:
raise RuntimeError(
f"Existing pgvector index '{index_name}' uses method '{existing_method}' but configuration now "
f"requires '{index_method}'. Automatic rebuild is disabled to prevent long-running maintenance. "
"Drop the index manually (optionally after tuning maintenance_work_mem/max_parallel_maintenance_workers) "
"and recreate it with the new method before restarting Open WebUI."
)
if not existing_index_def:
index_sql = (
f"CREATE INDEX IF NOT EXISTS {index_name} "
f"ON document_chunk USING {index_method} (vector {VECTOR_OPCLASS})"
)
if index_options:
index_sql = f"{index_sql} {index_options}"
self.session.execute(text(index_sql))
log.info(
"Ensured vector index '%s' using %s%s.",
index_name,
index_method,
f" {index_options}" if index_options else "",
)
def check_vector_length(self) -> None:
"""
Check if the VECTOR_LENGTH matches the existing vector column dimension in the database.
@ -273,19 +196,16 @@ class PgvectorClient(VectorDBBase):
if "vector" in document_chunk_table.columns:
vector_column = document_chunk_table.columns["vector"]
vector_type = vector_column.type
expected_type = HALFVEC if USE_HALFVEC else Vector
if not isinstance(vector_type, expected_type):
if isinstance(vector_type, Vector):
db_vector_length = vector_type.dim
if db_vector_length != VECTOR_LENGTH:
raise Exception(
f"VECTOR_LENGTH {VECTOR_LENGTH} does not match existing vector column dimension {db_vector_length}. "
"Cannot change vector size after initialization without migrating the data."
)
else:
raise Exception(
"The 'vector' column type does not match the expected type "
f"('{expected_type.__name__}') for VECTOR_LENGTH {VECTOR_LENGTH}."
)
db_vector_length = getattr(vector_type, "dim", None)
if db_vector_length is not None and db_vector_length != VECTOR_LENGTH:
raise Exception(
f"VECTOR_LENGTH {VECTOR_LENGTH} does not match existing vector column dimension {db_vector_length}. "
"Cannot change vector size after initialization without migrating the data."
"The 'vector' column exists but is not of type 'Vector'."
)
else:
raise Exception(
@ -440,11 +360,11 @@ class PgvectorClient(VectorDBBase):
num_queries = len(vectors)
def vector_expr(vector):
return cast(array(vector), VECTOR_TYPE_FACTORY(VECTOR_LENGTH))
return cast(array(vector), Vector(VECTOR_LENGTH))
# Create the values for query vectors
qid_col = column("qid", Integer)
q_vector_col = column("q_vector", VECTOR_TYPE_FACTORY(VECTOR_LENGTH))
q_vector_col = column("q_vector", Vector(VECTOR_LENGTH))
query_vectors = (
values(qid_col, q_vector_col)
.data(

View file

@ -117,16 +117,15 @@ class S3VectorClient(VectorDBBase):
def has_collection(self, collection_name: str) -> bool:
"""
Check if a vector index exists using direct lookup.
This avoids pagination issues with list_indexes() and is significantly faster.
Check if a vector index (collection) exists in the S3 vector bucket.
"""
try:
self.client.get_index(
vectorBucketName=self.bucket_name, indexName=collection_name
)
return True
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 checking if index '{collection_name}' exists: {e}")
log.error(f"Error listing indexes: {e}")
return False
def delete_collection(self, collection_name: str) -> None:

View file

@ -1,340 +0,0 @@
import weaviate
import re
import uuid
from typing import Any, Dict, List, Optional, Union
from open_webui.retrieval.vector.main import (
VectorDBBase,
VectorItem,
SearchResult,
GetResult,
)
from open_webui.retrieval.vector.utils import process_metadata
from open_webui.config import (
WEAVIATE_HTTP_HOST,
WEAVIATE_HTTP_PORT,
WEAVIATE_GRPC_PORT,
WEAVIATE_API_KEY,
)
def _convert_uuids_to_strings(obj: Any) -> Any:
"""
Recursively convert UUID objects to strings in nested data structures.
This function handles:
- UUID objects -> string
- Dictionaries with UUID values
- Lists/Tuples with UUID values
- Nested combinations of the above
Args:
obj: Any object that might contain UUIDs
Returns:
The same object structure with UUIDs converted to strings
"""
if isinstance(obj, uuid.UUID):
return str(obj)
elif isinstance(obj, dict):
return {key: _convert_uuids_to_strings(value) for key, value in obj.items()}
elif isinstance(obj, (list, tuple)):
return type(obj)(_convert_uuids_to_strings(item) for item in obj)
elif isinstance(obj, (str, int, float, bool, type(None))):
return obj
else:
return obj
class WeaviateClient(VectorDBBase):
def __init__(self):
self.url = WEAVIATE_HTTP_HOST
try:
# Build connection parameters
connection_params = {
"host": WEAVIATE_HTTP_HOST,
"port": WEAVIATE_HTTP_PORT,
"grpc_port": WEAVIATE_GRPC_PORT,
}
# Only add auth_credentials if WEAVIATE_API_KEY exists and is not empty
if WEAVIATE_API_KEY:
connection_params["auth_credentials"] = (
weaviate.classes.init.Auth.api_key(WEAVIATE_API_KEY)
)
self.client = weaviate.connect_to_local(**connection_params)
self.client.connect()
except Exception as e:
raise ConnectionError(f"Failed to connect to Weaviate: {e}") from e
def _sanitize_collection_name(self, collection_name: str) -> str:
"""Sanitize collection name to be a valid Weaviate class name."""
if not isinstance(collection_name, str) or not collection_name.strip():
raise ValueError("Collection name must be a non-empty string")
# Requirements for a valid Weaviate class name:
# The collection name must begin with a capital letter.
# The name can only contain letters, numbers, and the underscore (_) character. Spaces are not allowed.
# Replace hyphens with underscores and keep only alphanumeric characters
name = re.sub(r"[^a-zA-Z0-9_]", "", collection_name.replace("-", "_"))
name = name.strip("_")
if not name:
raise ValueError(
"Could not sanitize collection name to be a valid Weaviate class name"
)
# Ensure it starts with a letter and is capitalized
if not name[0].isalpha():
name = "C" + name
return name[0].upper() + name[1:]
def has_collection(self, collection_name: str) -> bool:
sane_collection_name = self._sanitize_collection_name(collection_name)
return self.client.collections.exists(sane_collection_name)
def delete_collection(self, collection_name: str) -> None:
sane_collection_name = self._sanitize_collection_name(collection_name)
if self.client.collections.exists(sane_collection_name):
self.client.collections.delete(sane_collection_name)
def _create_collection(self, collection_name: str) -> None:
self.client.collections.create(
name=collection_name,
vector_config=weaviate.classes.config.Configure.Vectors.self_provided(),
properties=[
weaviate.classes.config.Property(
name="text", data_type=weaviate.classes.config.DataType.TEXT
),
],
)
def insert(self, collection_name: str, items: List[VectorItem]) -> None:
sane_collection_name = self._sanitize_collection_name(collection_name)
if not self.client.collections.exists(sane_collection_name):
self._create_collection(sane_collection_name)
collection = self.client.collections.get(sane_collection_name)
with collection.batch.fixed_size(batch_size=100) as batch:
for item in items:
item_uuid = str(uuid.uuid4()) if not item["id"] else str(item["id"])
properties = {"text": item["text"]}
if item["metadata"]:
clean_metadata = _convert_uuids_to_strings(
process_metadata(item["metadata"])
)
clean_metadata.pop("text", None)
properties.update(clean_metadata)
batch.add_object(
properties=properties, uuid=item_uuid, vector=item["vector"]
)
def upsert(self, collection_name: str, items: List[VectorItem]) -> None:
sane_collection_name = self._sanitize_collection_name(collection_name)
if not self.client.collections.exists(sane_collection_name):
self._create_collection(sane_collection_name)
collection = self.client.collections.get(sane_collection_name)
with collection.batch.fixed_size(batch_size=100) as batch:
for item in items:
item_uuid = str(item["id"]) if item["id"] else None
properties = {"text": item["text"]}
if item["metadata"]:
clean_metadata = _convert_uuids_to_strings(
process_metadata(item["metadata"])
)
clean_metadata.pop("text", None)
properties.update(clean_metadata)
batch.add_object(
properties=properties, uuid=item_uuid, vector=item["vector"]
)
def search(
self, collection_name: str, vectors: List[List[Union[float, int]]], limit: int
) -> Optional[SearchResult]:
sane_collection_name = self._sanitize_collection_name(collection_name)
if not self.client.collections.exists(sane_collection_name):
return None
collection = self.client.collections.get(sane_collection_name)
result_ids, result_documents, result_metadatas, result_distances = (
[],
[],
[],
[],
)
for vector_embedding in vectors:
try:
response = collection.query.near_vector(
near_vector=vector_embedding,
limit=limit,
return_metadata=weaviate.classes.query.MetadataQuery(distance=True),
)
ids = [str(obj.uuid) for obj in response.objects]
documents = []
metadatas = []
distances = []
for obj in response.objects:
properties = dict(obj.properties) if obj.properties else {}
documents.append(properties.pop("text", ""))
metadatas.append(_convert_uuids_to_strings(properties))
# Weaviate has cosine distance, 2 (worst) -> 0 (best). Re-ordering to 0 -> 1
raw_distances = [
(
obj.metadata.distance
if obj.metadata and obj.metadata.distance
else 2.0
)
for obj in response.objects
]
distances = [(2 - dist) / 2 for dist in raw_distances]
result_ids.append(ids)
result_documents.append(documents)
result_metadatas.append(metadatas)
result_distances.append(distances)
except Exception:
result_ids.append([])
result_documents.append([])
result_metadatas.append([])
result_distances.append([])
return SearchResult(
**{
"ids": result_ids,
"documents": result_documents,
"metadatas": result_metadatas,
"distances": result_distances,
}
)
def query(
self, collection_name: str, filter: Dict, limit: Optional[int] = None
) -> Optional[GetResult]:
sane_collection_name = self._sanitize_collection_name(collection_name)
if not self.client.collections.exists(sane_collection_name):
return None
collection = self.client.collections.get(sane_collection_name)
weaviate_filter = None
if filter:
for key, value in filter.items():
prop_filter = weaviate.classes.query.Filter.by_property(name=key).equal(
value
)
weaviate_filter = (
prop_filter
if weaviate_filter is None
else weaviate.classes.query.Filter.all_of(
[weaviate_filter, prop_filter]
)
)
try:
response = collection.query.fetch_objects(
filters=weaviate_filter, limit=limit
)
ids = [str(obj.uuid) for obj in response.objects]
documents = []
metadatas = []
for obj in response.objects:
properties = dict(obj.properties) if obj.properties else {}
documents.append(properties.pop("text", ""))
metadatas.append(_convert_uuids_to_strings(properties))
return GetResult(
**{
"ids": [ids],
"documents": [documents],
"metadatas": [metadatas],
}
)
except Exception:
return None
def get(self, collection_name: str) -> Optional[GetResult]:
sane_collection_name = self._sanitize_collection_name(collection_name)
if not self.client.collections.exists(sane_collection_name):
return None
collection = self.client.collections.get(sane_collection_name)
ids, documents, metadatas = [], [], []
try:
for item in collection.iterator():
ids.append(str(item.uuid))
properties = dict(item.properties) if item.properties else {}
documents.append(properties.pop("text", ""))
metadatas.append(_convert_uuids_to_strings(properties))
if not ids:
return None
return GetResult(
**{
"ids": [ids],
"documents": [documents],
"metadatas": [metadatas],
}
)
except Exception:
return None
def delete(
self,
collection_name: str,
ids: Optional[List[str]] = None,
filter: Optional[Dict] = None,
) -> None:
sane_collection_name = self._sanitize_collection_name(collection_name)
if not self.client.collections.exists(sane_collection_name):
return
collection = self.client.collections.get(sane_collection_name)
try:
if ids:
for item_id in ids:
collection.data.delete_by_id(uuid=item_id)
elif filter:
weaviate_filter = None
for key, value in filter.items():
prop_filter = weaviate.classes.query.Filter.by_property(
name=key
).equal(value)
weaviate_filter = (
prop_filter
if weaviate_filter is None
else weaviate.classes.query.Filter.all_of(
[weaviate_filter, prop_filter]
)
)
if weaviate_filter:
collection.data.delete_many(where=weaviate_filter)
except Exception:
pass
def reset(self) -> None:
try:
for collection_name in self.client.collections.list_all().keys():
self.client.collections.delete(collection_name)
except Exception:
pass

View file

@ -67,10 +67,6 @@ class Vector:
from open_webui.retrieval.vector.dbs.oracle23ai import Oracle23aiClient
return Oracle23aiClient()
case VectorType.WEAVIATE:
from open_webui.retrieval.vector.dbs.weaviate import WeaviateClient
return WeaviateClient()
case _:
raise ValueError(f"Unsupported vector type: {vector_type}")

View file

@ -11,4 +11,3 @@ class VectorType(StrEnum):
PGVECTOR = "pgvector"
ORACLE23AI = "oracle23ai"
S3VECTOR = "s3vector"
WEAVIATE = "weaviate"

View file

@ -1,128 +0,0 @@
import logging
from typing import Optional
from open_webui.retrieval.web.main import SearchResult, get_filtered_results
from open_webui.env import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
"""
Azure AI Search integration for Open WebUI.
Documentation: https://learn.microsoft.com/en-us/python/api/overview/azure/search-documents-readme?view=azure-python
Required package: azure-search-documents
Install: pip install azure-search-documents
"""
def search_azure(
api_key: str,
endpoint: str,
index_name: str,
query: str,
count: int,
filter_list: Optional[list[str]] = None,
) -> list[SearchResult]:
"""
Search using Azure AI Search.
Args:
api_key: Azure Search API key (query key or admin key)
endpoint: Azure Search service endpoint (e.g., https://myservice.search.windows.net)
index_name: Name of the search index to query
query: Search query string
count: Number of results to return
filter_list: Optional list of domains to filter results
Returns:
List of SearchResult objects with link, title, and snippet
"""
try:
from azure.core.credentials import AzureKeyCredential
from azure.search.documents import SearchClient
except ImportError:
log.error(
"azure-search-documents package is not installed. "
"Install it with: pip install azure-search-documents"
)
raise ImportError(
"azure-search-documents is required for Azure AI Search. "
"Install it with: pip install azure-search-documents"
)
try:
# Create search client with API key authentication
credential = AzureKeyCredential(api_key)
search_client = SearchClient(
endpoint=endpoint, index_name=index_name, credential=credential
)
# Perform the search
results = search_client.search(search_text=query, top=count)
# Convert results to list and extract fields
search_results = []
for result in results:
# Azure AI Search returns documents with custom schemas
# We need to extract common fields that might represent URL, title, and content
# Common field names to look for:
result_dict = dict(result)
# Try to find URL field (common names)
link = (
result_dict.get("url")
or result_dict.get("link")
or result_dict.get("uri")
or result_dict.get("metadata_storage_path")
or ""
)
# Try to find title field (common names)
title = (
result_dict.get("title")
or result_dict.get("name")
or result_dict.get("metadata_title")
or result_dict.get("metadata_storage_name")
or None
)
# Try to find content/snippet field (common names)
snippet = (
result_dict.get("content")
or result_dict.get("snippet")
or result_dict.get("description")
or result_dict.get("summary")
or result_dict.get("text")
or None
)
# Truncate snippet if too long
if snippet and len(snippet) > 500:
snippet = snippet[:497] + "..."
if link: # Only add if we found a valid link
search_results.append(
{
"link": link,
"title": title,
"snippet": snippet,
}
)
# Apply domain filtering if specified
if filter_list:
search_results = get_filtered_results(search_results, filter_list)
# Convert to SearchResult objects
return [
SearchResult(
link=result["link"],
title=result.get("title"),
snippet=result.get("snippet"),
)
for result in search_results
]
except Exception as ex:
log.error(f"Azure AI Search error: {ex}")
raise ex

View file

@ -2,42 +2,27 @@ import logging
from typing import Optional, List
import requests
from fastapi import Request
from open_webui.env import SRC_LOG_LEVELS
from open_webui.retrieval.web.main import SearchResult, get_filtered_results
from open_webui.utils.headers import include_user_info_headers
from open_webui.env import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
def search_external(
request: Request,
external_url: str,
external_api_key: str,
query: str,
count: int,
filter_list: Optional[List[str]] = None,
user=None,
) -> List[SearchResult]:
try:
headers = {
"User-Agent": "Open WebUI (https://github.com/open-webui/open-webui) RAG Bot",
"Authorization": f"Bearer {external_api_key}",
}
headers = include_user_info_headers(headers, user)
chat_id = getattr(request.state, "chat_id", None)
if chat_id:
headers["X-OpenWebUI-Chat-Id"] = str(chat_id)
response = requests.post(
external_url,
headers=headers,
headers={
"User-Agent": "Open WebUI (https://github.com/open-webui/open-webui) RAG Bot",
"Authorization": f"Bearer {external_api_key}",
},
json={
"query": query,
"count": count,

View file

@ -1,10 +1,11 @@
import logging
from typing import Optional, List
from urllib.parse import urljoin
import requests
from open_webui.retrieval.web.main import SearchResult, get_filtered_results
from open_webui.env import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
@ -17,20 +18,27 @@ def search_firecrawl(
filter_list: Optional[List[str]] = None,
) -> List[SearchResult]:
try:
from firecrawl import FirecrawlApp
firecrawl = FirecrawlApp(api_key=firecrawl_api_key, api_url=firecrawl_url)
response = firecrawl.search(
query=query, limit=count, ignore_invalid_urls=True, timeout=count * 3
firecrawl_search_url = urljoin(firecrawl_url, "/v1/search")
response = requests.post(
firecrawl_search_url,
headers={
"User-Agent": "Open WebUI (https://github.com/open-webui/open-webui) RAG Bot",
"Authorization": f"Bearer {firecrawl_api_key}",
},
json={
"query": query,
"limit": count,
},
)
results = response.web
response.raise_for_status()
results = response.json().get("data", [])
if filter_list:
results = get_filtered_results(results, filter_list)
results = [
SearchResult(
link=result.url,
title=result.title,
snippet=result.description,
link=result.get("url"),
title=result.get("title"),
snippet=result.get("description"),
)
for result in results[:count]
]

View file

@ -15,7 +15,6 @@ def search_google_pse(
query: str,
count: int,
filter_list: Optional[list[str]] = None,
referer: Optional[str] = None,
) -> list[SearchResult]:
"""Search using Google's Programmable Search Engine API and return the results as a list of SearchResult objects.
Handles pagination for counts greater than 10.
@ -31,11 +30,7 @@ def search_google_pse(
list[SearchResult]: A list of SearchResult objects.
"""
url = "https://www.googleapis.com/customsearch/v1"
headers = {"Content-Type": "application/json"}
if referer:
headers["Referer"] = referer
all_results = []
start_index = 1 # Google PSE start parameter is 1-based

View file

@ -5,38 +5,18 @@ from urllib.parse import urlparse
from pydantic import BaseModel
from open_webui.retrieval.web.utils import resolve_hostname
from open_webui.utils.misc import is_string_allowed
def get_filtered_results(results, filter_list):
if not filter_list:
return results
filtered_results = []
for result in results:
url = result.get("url") or result.get("link", "") or result.get("href", "")
if not validators.url(url):
continue
domain = urlparse(url).netloc
if not domain:
continue
hostnames = [domain]
try:
ipv4_addresses, ipv6_addresses = resolve_hostname(domain)
hostnames.extend(ipv4_addresses)
hostnames.extend(ipv6_addresses)
except Exception:
pass
if is_string_allowed(hostnames, filter_list):
if any(domain.endswith(filtered_domain) for filtered_domain in filter_list):
filtered_results.append(result)
continue
return filtered_results

View file

@ -3,7 +3,6 @@ from typing import Optional, Literal
import requests
from open_webui.retrieval.web.main import SearchResult, get_filtered_results
from open_webui.utils.headers import include_user_info_headers
from open_webui.env import SRC_LOG_LEVELS
@ -16,8 +15,6 @@ def search_perplexity_search(
query: str,
count: int,
filter_list: Optional[list[str]] = None,
api_url: str = "https://api.perplexity.ai/search",
user=None,
) -> list[SearchResult]:
"""Search using Perplexity API and return the results as a list of SearchResult objects.
@ -26,8 +23,6 @@ def search_perplexity_search(
query (str): The query to search for
count (int): Maximum number of results to return
filter_list (Optional[list[str]]): List of domains to filter results
api_url (str): Custom API URL (defaults to https://api.perplexity.ai/search)
user: Optional user object for forwarding user info headers
"""
@ -35,11 +30,8 @@ def search_perplexity_search(
if hasattr(api_key, "__str__"):
api_key = str(api_key)
if hasattr(api_url, "__str__"):
api_url = str(api_url)
try:
url = api_url
url = "https://api.perplexity.ai/search"
# Create payload for the API call
payload = {
@ -52,10 +44,6 @@ def search_perplexity_search(
"Content-Type": "application/json",
}
# Forward user info headers if user is provided
if user is not None:
headers = include_user_info_headers(headers, user)
# Make the API request
response = requests.request("POST", url, json=payload, headers=headers)
# Parse the JSON response

View file

@ -4,6 +4,7 @@ import socket
import ssl
import urllib.parse
import urllib.request
from collections import defaultdict
from datetime import datetime, time, timedelta
from typing import (
Any,
@ -16,15 +17,13 @@ from typing import (
Union,
Literal,
)
from fastapi.concurrency import run_in_threadpool
import aiohttp
import certifi
import validators
from langchain_community.document_loaders import PlaywrightURLLoader, WebBaseLoader
from langchain_community.document_loaders.firecrawl import FireCrawlLoader
from langchain_community.document_loaders.base import BaseLoader
from langchain_core.documents import Document
from open_webui.retrieval.loaders.tavily import TavilyLoader
from open_webui.retrieval.loaders.external_web import ExternalWebLoader
from open_webui.constants import ERROR_MESSAGES
@ -39,46 +38,17 @@ from open_webui.config import (
TAVILY_EXTRACT_DEPTH,
EXTERNAL_WEB_LOADER_URL,
EXTERNAL_WEB_LOADER_API_KEY,
WEB_FETCH_FILTER_LIST,
)
from open_webui.env import SRC_LOG_LEVELS
from open_webui.utils.misc import is_string_allowed
from open_webui.env import SRC_LOG_LEVELS, AIOHTTP_CLIENT_SESSION_SSL
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
def resolve_hostname(hostname):
# Get address information
addr_info = socket.getaddrinfo(hostname, None)
# Extract IP addresses from address information
ipv4_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET]
ipv6_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET6]
return ipv4_addresses, ipv6_addresses
def validate_url(url: Union[str, Sequence[str]]):
if isinstance(url, str):
if isinstance(validators.url(url), validators.ValidationError):
raise ValueError(ERROR_MESSAGES.INVALID_URL)
parsed_url = urllib.parse.urlparse(url)
# Protocol validation - only allow http/https
if parsed_url.scheme not in ["http", "https"]:
log.warning(
f"Blocked non-HTTP(S) protocol: {parsed_url.scheme} in URL: {url}"
)
raise ValueError(ERROR_MESSAGES.INVALID_URL)
# Blocklist check using unified filtering logic
if WEB_FETCH_FILTER_LIST:
if not is_string_allowed(url, WEB_FETCH_FILTER_LIST):
log.warning(f"URL blocked by filter list: {url}")
raise ValueError(ERROR_MESSAGES.INVALID_URL)
if not ENABLE_RAG_LOCAL_WEB_FETCH:
# Local web fetch is disabled, filter out any URLs that resolve to private IP addresses
parsed_url = urllib.parse.urlparse(url)
@ -111,6 +81,17 @@ def safe_validate_urls(url: Sequence[str]) -> Sequence[str]:
return valid_urls
def resolve_hostname(hostname):
# Get address information
addr_info = socket.getaddrinfo(hostname, None)
# Extract IP addresses from address information
ipv4_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET]
ipv6_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET6]
return ipv4_addresses, ipv6_addresses
def extract_metadata(soup, url):
metadata = {"source": url}
if title := soup.find("title"):
@ -161,13 +142,13 @@ class RateLimitMixin:
class URLProcessingMixin:
async def _verify_ssl_cert(self, url: str) -> bool:
def _verify_ssl_cert(self, url: str) -> bool:
"""Verify SSL certificate for a URL."""
return await run_in_threadpool(verify_ssl_cert, url)
return verify_ssl_cert(url)
async def _safe_process_url(self, url: str) -> bool:
"""Perform safety checks before processing a URL."""
if self.verify_ssl and not await self._verify_ssl_cert(url):
if self.verify_ssl and not self._verify_ssl_cert(url):
raise ValueError(f"SSL certificate verification failed for {url}")
await self._wait_for_rate_limit()
return True
@ -208,12 +189,13 @@ class SafeFireCrawlLoader(BaseLoader, RateLimitMixin, URLProcessingMixin):
(uses FIRE_CRAWL_API_KEY environment variable if not provided).
api_url: Base URL for FireCrawl API. Defaults to official API endpoint.
mode: Operation mode selection:
- 'crawl': Website crawling mode
- 'scrape': Direct page scraping (default)
- 'crawl': Website crawling mode (default)
- 'scrape': Direct page scraping
- 'map': Site map generation
proxy: Proxy override settings for the FireCrawl API.
params: The parameters to pass to the Firecrawl API.
For more details, visit: https://docs.firecrawl.dev/sdks/python#batch-scrape
Examples include crawlerOptions.
For more details, visit: https://github.com/mendableai/firecrawl-py
"""
proxy_server = proxy.get("server") if proxy else None
if trust_env and not proxy_server:
@ -233,88 +215,50 @@ class SafeFireCrawlLoader(BaseLoader, RateLimitMixin, URLProcessingMixin):
self.api_key = api_key
self.api_url = api_url
self.mode = mode
self.params = params or {}
self.params = params
def lazy_load(self) -> Iterator[Document]:
"""Load documents using FireCrawl batch_scrape."""
log.debug(
"Starting FireCrawl batch scrape for %d URLs, mode: %s, params: %s",
len(self.web_paths),
self.mode,
self.params,
)
try:
from firecrawl import FirecrawlApp
firecrawl = FirecrawlApp(api_key=self.api_key, api_url=self.api_url)
result = firecrawl.batch_scrape(
self.web_paths,
formats=["markdown"],
skip_tls_verification=not self.verify_ssl,
ignore_invalid_urls=True,
remove_base64_images=True,
max_age=300000, # 5 minutes https://docs.firecrawl.dev/features/fast-scraping#common-maxage-values
wait_timeout=len(self.web_paths) * 3,
**self.params,
)
if result.status != "completed":
raise RuntimeError(
f"FireCrawl batch scrape did not complete successfully. result: {result}"
"""Load documents concurrently using FireCrawl."""
for url in self.web_paths:
try:
self._safe_process_url_sync(url)
loader = FireCrawlLoader(
url=url,
api_key=self.api_key,
api_url=self.api_url,
mode=self.mode,
params=self.params,
)
for data in result.data:
metadata = data.metadata or {}
yield Document(
page_content=data.markdown or "",
metadata={"source": metadata.url or metadata.source_url or ""},
)
except Exception as e:
if self.continue_on_failure:
log.exception(f"Error extracting content from URLs: {e}")
else:
for document in loader.lazy_load():
if not document.metadata.get("source"):
document.metadata["source"] = document.metadata.get("sourceURL")
yield document
except Exception as e:
if self.continue_on_failure:
log.exception(f"Error loading {url}: {e}")
continue
raise e
async def alazy_load(self):
"""Async version of lazy_load."""
log.debug(
"Starting FireCrawl batch scrape for %d URLs, mode: %s, params: %s",
len(self.web_paths),
self.mode,
self.params,
)
try:
from firecrawl import FirecrawlApp
firecrawl = FirecrawlApp(api_key=self.api_key, api_url=self.api_url)
result = firecrawl.batch_scrape(
self.web_paths,
formats=["markdown"],
skip_tls_verification=not self.verify_ssl,
ignore_invalid_urls=True,
remove_base64_images=True,
max_age=300000, # 5 minutes https://docs.firecrawl.dev/features/fast-scraping#common-maxage-values
wait_timeout=len(self.web_paths) * 3,
**self.params,
)
if result.status != "completed":
raise RuntimeError(
f"FireCrawl batch scrape did not complete successfully. result: {result}"
for url in self.web_paths:
try:
await self._safe_process_url(url)
loader = FireCrawlLoader(
url=url,
api_key=self.api_key,
api_url=self.api_url,
mode=self.mode,
params=self.params,
)
for data in result.data:
metadata = data.metadata or {}
yield Document(
page_content=data.markdown or "",
metadata={"source": metadata.url or metadata.source_url or ""},
)
except Exception as e:
if self.continue_on_failure:
log.exception(f"Error extracting content from URLs: {e}")
else:
async for document in loader.alazy_load():
if not document.metadata.get("source"):
document.metadata["source"] = document.metadata.get("sourceURL")
yield document
except Exception as e:
if self.continue_on_failure:
log.exception(f"Error loading {url}: {e}")
continue
raise e
@ -660,10 +604,6 @@ def get_web_loader(
# Check if the URLs are valid
safe_urls = safe_validate_urls([urls] if isinstance(urls, str) else urls)
if not safe_urls:
log.warning(f"All provided URLs were blocked or invalid: {urls}")
raise ValueError(ERROR_MESSAGES.INVALID_URL)
web_loader_args = {
"web_paths": safe_urls,
"verify_ssl": verify_ssl,

View file

@ -4,7 +4,6 @@ import logging
import os
import uuid
import html
import base64
from functools import lru_cache
from pydub import AudioSegment
from pydub.silence import split_on_silence
@ -16,6 +15,7 @@ import aiohttp
import aiofiles
import requests
import mimetypes
from urllib.parse import urljoin, quote
from fastapi import (
Depends,
@ -34,20 +34,18 @@ from pydantic import BaseModel
from open_webui.utils.auth import get_admin_user, get_verified_user
from open_webui.utils.headers import include_user_info_headers
from open_webui.config import (
WHISPER_MODEL_AUTO_UPDATE,
WHISPER_MODEL_DIR,
CACHE_DIR,
WHISPER_LANGUAGE,
ELEVENLABS_API_BASE_URL,
)
from open_webui.constants import ERROR_MESSAGES
from open_webui.env import (
ENV,
AIOHTTP_CLIENT_SESSION_SSL,
AIOHTTP_CLIENT_TIMEOUT,
ENV,
SRC_LOG_LEVELS,
DEVICE_TYPE,
ENABLE_FORWARD_USER_INFO_HEADERS,
@ -180,9 +178,6 @@ class STTConfigForm(BaseModel):
AZURE_LOCALES: str
AZURE_BASE_URL: str
AZURE_MAX_SPEAKERS: str
MISTRAL_API_KEY: str
MISTRAL_API_BASE_URL: str
MISTRAL_USE_CHAT_COMPLETIONS: bool
class AudioConfigUpdateForm(BaseModel):
@ -219,9 +214,6 @@ async def get_audio_config(request: Request, user=Depends(get_admin_user)):
"AZURE_LOCALES": request.app.state.config.AUDIO_STT_AZURE_LOCALES,
"AZURE_BASE_URL": request.app.state.config.AUDIO_STT_AZURE_BASE_URL,
"AZURE_MAX_SPEAKERS": request.app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS,
"MISTRAL_API_KEY": request.app.state.config.AUDIO_STT_MISTRAL_API_KEY,
"MISTRAL_API_BASE_URL": request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL,
"MISTRAL_USE_CHAT_COMPLETIONS": request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS,
},
}
@ -263,13 +255,6 @@ async def update_audio_config(
request.app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS = (
form_data.stt.AZURE_MAX_SPEAKERS
)
request.app.state.config.AUDIO_STT_MISTRAL_API_KEY = form_data.stt.MISTRAL_API_KEY
request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL = (
form_data.stt.MISTRAL_API_BASE_URL
)
request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS = (
form_data.stt.MISTRAL_USE_CHAT_COMPLETIONS
)
if request.app.state.config.STT_ENGINE == "":
request.app.state.faster_whisper_model = set_faster_whisper_model(
@ -305,9 +290,6 @@ async def update_audio_config(
"AZURE_LOCALES": request.app.state.config.AUDIO_STT_AZURE_LOCALES,
"AZURE_BASE_URL": request.app.state.config.AUDIO_STT_AZURE_BASE_URL,
"AZURE_MAX_SPEAKERS": request.app.state.config.AUDIO_STT_AZURE_MAX_SPEAKERS,
"MISTRAL_API_KEY": request.app.state.config.AUDIO_STT_MISTRAL_API_KEY,
"MISTRAL_API_BASE_URL": request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL,
"MISTRAL_USE_CHAT_COMPLETIONS": request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS,
},
}
@ -364,17 +346,23 @@ async def speech(request: Request, user=Depends(get_verified_user)):
**(request.app.state.config.TTS_OPENAI_PARAMS or {}),
}
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {request.app.state.config.TTS_OPENAI_API_KEY}",
}
if ENABLE_FORWARD_USER_INFO_HEADERS:
headers = include_user_info_headers(headers, user)
r = await session.post(
url=f"{request.app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech",
json=payload,
headers=headers,
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {request.app.state.config.TTS_OPENAI_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
else {}
),
},
ssl=AIOHTTP_CLIENT_SESSION_SSL,
)
@ -425,7 +413,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
timeout=timeout, trust_env=True
) as session:
async with session.post(
f"{ELEVENLABS_API_BASE_URL}/v1/text-to-speech/{voice_id}",
f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}",
json={
"text": payload["input"],
"model_id": request.app.state.config.TTS_MODEL,
@ -564,7 +552,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
return FileResponse(file_path)
def transcription_handler(request, file_path, metadata, user=None):
def transcription_handler(request, file_path, metadata):
filename = os.path.basename(file_path)
file_dir = os.path.dirname(file_path)
id = filename.split(".")[0]
@ -615,15 +603,11 @@ def transcription_handler(request, file_path, metadata, user=None):
if language:
payload["language"] = language
headers = {
"Authorization": f"Bearer {request.app.state.config.STT_OPENAI_API_KEY}"
}
if user and ENABLE_FORWARD_USER_INFO_HEADERS:
headers = include_user_info_headers(headers, user)
r = requests.post(
url=f"{request.app.state.config.STT_OPENAI_API_BASE_URL}/audio/transcriptions",
headers=headers,
headers={
"Authorization": f"Bearer {request.app.state.config.STT_OPENAI_API_KEY}"
},
files={"file": (filename, open(file_path, "rb"))},
data=payload,
)
@ -844,190 +828,8 @@ def transcription_handler(request, file_path, metadata, user=None):
detail=detail if detail else "Open WebUI: Server Connection Error",
)
elif request.app.state.config.STT_ENGINE == "mistral":
# Check file exists
if not os.path.exists(file_path):
raise HTTPException(status_code=400, detail="Audio file not found")
# Check file size
file_size = os.path.getsize(file_path)
if file_size > MAX_FILE_SIZE:
raise HTTPException(
status_code=400,
detail=f"File size exceeds limit of {MAX_FILE_SIZE_MB}MB",
)
api_key = request.app.state.config.AUDIO_STT_MISTRAL_API_KEY
api_base_url = (
request.app.state.config.AUDIO_STT_MISTRAL_API_BASE_URL
or "https://api.mistral.ai/v1"
)
use_chat_completions = (
request.app.state.config.AUDIO_STT_MISTRAL_USE_CHAT_COMPLETIONS
)
if not api_key:
raise HTTPException(
status_code=400,
detail="Mistral API key is required for Mistral STT",
)
r = None
try:
# Use voxtral-mini-latest as the default model for transcription
model = request.app.state.config.STT_MODEL or "voxtral-mini-latest"
log.info(
f"Mistral STT - model: {model}, "
f"method: {'chat_completions' if use_chat_completions else 'transcriptions'}"
)
if use_chat_completions:
# Use chat completions API with audio input
# This method requires mp3 or wav format
audio_file_to_use = file_path
if is_audio_conversion_required(file_path):
log.debug("Converting audio to mp3 for chat completions API")
converted_path = convert_audio_to_mp3(file_path)
if converted_path:
audio_file_to_use = converted_path
else:
log.error("Audio conversion failed")
raise HTTPException(
status_code=500,
detail="Audio conversion failed. Chat completions API requires mp3 or wav format.",
)
# Read and encode audio file as base64
with open(audio_file_to_use, "rb") as audio_file:
audio_base64 = base64.b64encode(audio_file.read()).decode("utf-8")
# Prepare chat completions request
url = f"{api_base_url}/chat/completions"
# Add language instruction if specified
language = metadata.get("language", None) if metadata else None
if language:
text_instruction = f"Transcribe this audio exactly as spoken in {language}. Do not translate it."
else:
text_instruction = "Transcribe this audio exactly as spoken in its original language. Do not translate it to another language."
payload = {
"model": model,
"messages": [
{
"role": "user",
"content": [
{
"type": "input_audio",
"input_audio": audio_base64,
},
{"type": "text", "text": text_instruction},
],
}
],
}
r = requests.post(
url=url,
json=payload,
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
)
r.raise_for_status()
response = r.json()
# Extract transcript from chat completion response
transcript = (
response.get("choices", [{}])[0]
.get("message", {})
.get("content", "")
.strip()
)
if not transcript:
raise ValueError("Empty transcript in response")
data = {"text": transcript}
else:
# Use dedicated transcriptions API
url = f"{api_base_url}/audio/transcriptions"
# Determine the MIME type
mime_type, _ = mimetypes.guess_type(file_path)
if not mime_type:
mime_type = "audio/webm"
# Use context manager to ensure file is properly closed
with open(file_path, "rb") as audio_file:
files = {"file": (filename, audio_file, mime_type)}
data_form = {"model": model}
# Add language if specified in metadata
language = metadata.get("language", None) if metadata else None
if language:
data_form["language"] = language
r = requests.post(
url=url,
files=files,
data=data_form,
headers={
"Authorization": f"Bearer {api_key}",
},
)
r.raise_for_status()
response = r.json()
# Extract transcript from response
transcript = response.get("text", "").strip()
if not transcript:
raise ValueError("Empty transcript in response")
data = {"text": transcript}
# Save transcript to json file (consistent with other providers)
transcript_file = f"{file_dir}/{id}.json"
with open(transcript_file, "w") as f:
json.dump(data, f)
log.debug(data)
return data
except ValueError as e:
log.exception("Error parsing Mistral response")
raise HTTPException(
status_code=500,
detail=f"Failed to parse Mistral response: {str(e)}",
)
except requests.exceptions.RequestException as e:
log.exception(e)
detail = None
try:
if r is not None and r.status_code != 200:
res = r.json()
if "error" in res:
detail = f"External: {res['error'].get('message', '')}"
else:
detail = f"External: {r.text}"
except Exception:
detail = f"External: {e}"
raise HTTPException(
status_code=getattr(r, "status_code", 500) if r else 500,
detail=detail if detail else "Open WebUI: Server Connection Error",
)
def transcribe(
request: Request, file_path: str, metadata: Optional[dict] = None, user=None
):
def transcribe(request: Request, file_path: str, metadata: Optional[dict] = None):
log.info(f"transcribe: {file_path} {metadata}")
if is_audio_conversion_required(file_path):
@ -1054,9 +856,7 @@ def transcribe(
with ThreadPoolExecutor() as executor:
# Submit tasks for each chunk_path
futures = [
executor.submit(
transcription_handler, request, chunk_path, metadata, user
)
executor.submit(transcription_handler, request, chunk_path, metadata)
for chunk_path in chunk_paths
]
# Gather results as they complete
@ -1191,7 +991,7 @@ def transcription(
if language:
metadata = {"language": language}
result = transcribe(request, file_path, metadata, user)
result = transcribe(request, file_path, metadata)
return {
**result,
@ -1237,7 +1037,7 @@ def get_available_models(request: Request) -> list[dict]:
elif request.app.state.config.TTS_ENGINE == "elevenlabs":
try:
response = requests.get(
f"{ELEVENLABS_API_BASE_URL}/v1/models",
"https://api.elevenlabs.io/v1/models",
headers={
"xi-api-key": request.app.state.config.TTS_API_KEY,
"Content-Type": "application/json",
@ -1341,7 +1141,7 @@ def get_elevenlabs_voices(api_key: str) -> dict:
try:
# TODO: Add retries
response = requests.get(
f"{ELEVENLABS_API_BASE_URL}/v1/voices",
"https://api.elevenlabs.io/v1/voices",
headers={
"xi-api-key": api_key,
"Content-Type": "application/json",

View file

@ -4,8 +4,6 @@ import time
import datetime
import logging
from aiohttp import ClientSession
import urllib
from open_webui.models.auths import (
AddUserForm,
@ -17,13 +15,9 @@ from open_webui.models.auths import (
SigninResponse,
SignupForm,
UpdatePasswordForm,
UserResponse,
)
from open_webui.models.users import (
UserProfileImageResponse,
Users,
UpdateProfileForm,
UserStatus,
)
from open_webui.models.users import Users, UpdateProfileForm
from open_webui.models.groups import Groups
from open_webui.models.oauth_sessions import OAuthSessions
@ -41,20 +35,12 @@ from open_webui.env import (
)
from fastapi import APIRouter, Depends, HTTPException, Request, status
from fastapi.responses import RedirectResponse, Response, JSONResponse
from open_webui.config import (
OPENID_PROVIDER_URL,
ENABLE_OAUTH_SIGNUP,
ENABLE_LDAP,
ENABLE_PASSWORD_AUTH,
)
from open_webui.config import OPENID_PROVIDER_URL, ENABLE_OAUTH_SIGNUP, ENABLE_LDAP
from pydantic import BaseModel
from open_webui.utils.misc import parse_duration, validate_email_format
from open_webui.utils.auth import (
validate_password,
verify_password,
decode_token,
invalidate_token,
create_api_key,
create_token,
get_admin_user,
@ -64,12 +50,7 @@ from open_webui.utils.auth import (
get_http_authorization_cred,
)
from open_webui.utils.webhook import post_webhook
from open_webui.utils.access_control import get_permissions, has_permission
from open_webui.utils.groups import apply_default_group_assignment
from open_webui.utils.redis import get_redis_client
from open_webui.utils.rate_limit import RateLimiter
from open_webui.utils.access_control import get_permissions
from typing import Optional, List
@ -83,21 +64,17 @@ router = APIRouter()
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["MAIN"])
signin_rate_limiter = RateLimiter(
redis_client=get_redis_client(), limit=5 * 3, window=60 * 3
)
############################
# GetSessionUser
############################
class SessionUserResponse(Token, UserProfileImageResponse):
class SessionUserResponse(Token, UserResponse):
expires_at: Optional[int] = None
permissions: Optional[dict] = None
class SessionUserInfoResponse(SessionUserResponse, UserStatus):
class SessionUserInfoResponse(SessionUserResponse):
bio: Optional[str] = None
gender: Optional[str] = None
date_of_birth: Optional[datetime.date] = None
@ -154,9 +131,6 @@ async def get_session_user(
"bio": user.bio,
"gender": user.gender,
"date_of_birth": user.date_of_birth,
"status_emoji": user.status_emoji,
"status_message": user.status_message,
"status_expires_at": user.status_expires_at,
"permissions": user_permissions,
}
@ -166,7 +140,7 @@ async def get_session_user(
############################
@router.post("/update/profile", response_model=UserProfileImageResponse)
@router.post("/update/profile", response_model=UserResponse)
async def update_profile(
form_data: UpdateProfileForm, session_user=Depends(get_verified_user)
):
@ -195,19 +169,13 @@ async def update_password(
if WEBUI_AUTH_TRUSTED_EMAIL_HEADER:
raise HTTPException(400, detail=ERROR_MESSAGES.ACTION_PROHIBITED)
if session_user:
user = Auths.authenticate_user(
session_user.email, lambda pw: verify_password(form_data.password, pw)
)
user = Auths.authenticate_user(session_user.email, form_data.password)
if user:
try:
validate_password(form_data.password)
except Exception as e:
raise HTTPException(400, detail=str(e))
hashed = get_password_hash(form_data.new_password)
return Auths.update_user_password_by_id(user.id, hashed)
else:
raise HTTPException(400, detail=ERROR_MESSAGES.INCORRECT_PASSWORD)
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_PASSWORD)
else:
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
@ -217,17 +185,7 @@ async def update_password(
############################
@router.post("/ldap", response_model=SessionUserResponse)
async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
# Security checks FIRST - before loading any config
if not request.app.state.config.ENABLE_LDAP:
raise HTTPException(400, detail="LDAP authentication is not enabled")
if not ENABLE_PASSWORD_AUTH:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=ERROR_MESSAGES.ACTION_PROHIBITED,
)
# NOW load LDAP config variables
ENABLE_LDAP = request.app.state.config.ENABLE_LDAP
LDAP_SERVER_LABEL = request.app.state.config.LDAP_SERVER_LABEL
LDAP_SERVER_HOST = request.app.state.config.LDAP_SERVER_HOST
LDAP_SERVER_PORT = request.app.state.config.LDAP_SERVER_PORT
@ -248,6 +206,9 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
else "ALL"
)
if not ENABLE_LDAP:
raise HTTPException(400, detail="LDAP authentication is not enabled")
try:
tls = Tls(
validate=LDAP_VALIDATE_CERT,
@ -418,11 +379,6 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
500, detail=ERROR_MESSAGES.CREATE_USER_ERROR
)
apply_default_group_assignment(
request.app.state.config.DEFAULT_GROUP_ID,
user.id,
)
except HTTPException:
raise
except Exception as err:
@ -471,6 +427,7 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
):
if ENABLE_LDAP_GROUP_CREATION:
Groups.create_groups_by_group_names(user.id, user_groups)
try:
Groups.sync_groups_by_group_names(user.id, user_groups)
log.info(
@ -506,12 +463,6 @@ async def ldap_auth(request: Request, response: Response, form_data: LdapForm):
@router.post("/signin", response_model=SessionUserResponse)
async def signin(request: Request, response: Response, form_data: SigninForm):
if not ENABLE_PASSWORD_AUTH:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=ERROR_MESSAGES.ACTION_PROHIBITED,
)
if WEBUI_AUTH_TRUSTED_EMAIL_HEADER:
if WEBUI_AUTH_TRUSTED_EMAIL_HEADER not in request.headers:
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_TRUSTED_HEADER)
@ -521,10 +472,6 @@ async def signin(request: Request, response: Response, form_data: SigninForm):
if WEBUI_AUTH_TRUSTED_NAME_HEADER:
name = request.headers.get(WEBUI_AUTH_TRUSTED_NAME_HEADER, email)
try:
name = urllib.parse.unquote(name, encoding="utf-8")
except Exception as e:
pass
if not Users.get_user_by_email(email.lower()):
await signup(
@ -548,9 +495,7 @@ async def signin(request: Request, response: Response, form_data: SigninForm):
admin_password = "admin"
if Users.get_user_by_email(admin_email.lower()):
user = Auths.authenticate_user(
admin_email.lower(), lambda pw: verify_password(admin_password, pw)
)
user = Auths.authenticate_user(admin_email.lower(), admin_password)
else:
if Users.has_users():
raise HTTPException(400, detail=ERROR_MESSAGES.EXISTING_USERS)
@ -561,28 +506,9 @@ async def signin(request: Request, response: Response, form_data: SigninForm):
SignupForm(email=admin_email, password=admin_password, name="User"),
)
user = Auths.authenticate_user(
admin_email.lower(), lambda pw: verify_password(admin_password, pw)
)
user = Auths.authenticate_user(admin_email.lower(), admin_password)
else:
if signin_rate_limiter.is_limited(form_data.email.lower()):
raise HTTPException(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail=ERROR_MESSAGES.RATE_LIMIT_EXCEEDED,
)
password_bytes = form_data.password.encode("utf-8")
if len(password_bytes) > 72:
# TODO: Implement other hashing algorithms that support longer passwords
log.info("Password too long, truncating to 72 bytes for bcrypt")
password_bytes = password_bytes[:72]
# decode safely — ignore incomplete UTF-8 sequences
form_data.password = password_bytes.decode("utf-8", errors="ignore")
user = Auths.authenticate_user(
form_data.email.lower(), lambda pw: verify_password(form_data.password, pw)
)
user = Auths.authenticate_user(form_data.email.lower(), form_data.password)
if user:
@ -664,14 +590,16 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN)
try:
try:
validate_password(form_data.password)
except Exception as e:
raise HTTPException(400, detail=str(e))
role = "admin" if not has_users else request.app.state.config.DEFAULT_USER_ROLE
# The password passed to bcrypt must be 72 bytes or fewer. If it is longer, it will be truncated before hashing.
if len(form_data.password.encode("utf-8")) > 72:
raise HTTPException(
status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.PASSWORD_TOO_LONG,
)
hashed = get_password_hash(form_data.password)
role = "admin" if not has_users else request.app.state.config.DEFAULT_USER_ROLE
user = Auths.insert_new_auth(
form_data.email.lower(),
hashed,
@ -727,11 +655,6 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
# Disable signup after the first user is created
request.app.state.config.ENABLE_SIGNUP = False
apply_default_group_assignment(
request.app.state.config.DEFAULT_GROUP_ID,
user.id,
)
return {
"token": token,
"token_type": "Bearer",
@ -752,19 +675,6 @@ async def signup(request: Request, response: Response, form_data: SignupForm):
@router.get("/signout")
async def signout(request: Request, response: Response):
# get auth token from headers or cookies
token = None
auth_header = request.headers.get("Authorization")
if auth_header:
auth_cred = get_http_authorization_cred(auth_header)
token = auth_cred.credentials
else:
token = request.cookies.get("token")
if token:
await invalidate_token(request, token)
response.delete_cookie("token")
response.delete_cookie("oui-session")
response.delete_cookie("oauth_id_token")
@ -835,9 +745,7 @@ async def signout(request: Request, response: Response):
@router.post("/add", response_model=SigninResponse)
async def add_user(
request: Request, form_data: AddUserForm, user=Depends(get_admin_user)
):
async def add_user(form_data: AddUserForm, user=Depends(get_admin_user)):
if not validate_email_format(form_data.email.lower()):
raise HTTPException(
status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.INVALID_EMAIL_FORMAT
@ -847,11 +755,6 @@ async def add_user(
raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN)
try:
try:
validate_password(form_data.password)
except Exception as e:
raise HTTPException(400, detail=str(e))
hashed = get_password_hash(form_data.password)
user = Auths.insert_new_auth(
form_data.email.lower(),
@ -862,11 +765,6 @@ async def add_user(
)
if user:
apply_default_group_assignment(
request.app.state.config.DEFAULT_GROUP_ID,
user.id,
)
token = create_token(data={"id": user.id})
return {
"token": token,
@ -928,15 +826,13 @@ async def get_admin_config(request: Request, user=Depends(get_admin_user)):
"SHOW_ADMIN_DETAILS": request.app.state.config.SHOW_ADMIN_DETAILS,
"WEBUI_URL": request.app.state.config.WEBUI_URL,
"ENABLE_SIGNUP": request.app.state.config.ENABLE_SIGNUP,
"ENABLE_API_KEYS": request.app.state.config.ENABLE_API_KEYS,
"ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS": request.app.state.config.ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS,
"API_KEYS_ALLOWED_ENDPOINTS": request.app.state.config.API_KEYS_ALLOWED_ENDPOINTS,
"ENABLE_API_KEY": request.app.state.config.ENABLE_API_KEY,
"ENABLE_API_KEY_ENDPOINT_RESTRICTIONS": request.app.state.config.ENABLE_API_KEY_ENDPOINT_RESTRICTIONS,
"API_KEY_ALLOWED_ENDPOINTS": request.app.state.config.API_KEY_ALLOWED_ENDPOINTS,
"DEFAULT_USER_ROLE": request.app.state.config.DEFAULT_USER_ROLE,
"DEFAULT_GROUP_ID": request.app.state.config.DEFAULT_GROUP_ID,
"JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN,
"ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING,
"ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING,
"ENABLE_FOLDERS": request.app.state.config.ENABLE_FOLDERS,
"ENABLE_CHANNELS": request.app.state.config.ENABLE_CHANNELS,
"ENABLE_NOTES": request.app.state.config.ENABLE_NOTES,
"ENABLE_USER_WEBHOOKS": request.app.state.config.ENABLE_USER_WEBHOOKS,
@ -950,15 +846,13 @@ class AdminConfig(BaseModel):
SHOW_ADMIN_DETAILS: bool
WEBUI_URL: str
ENABLE_SIGNUP: bool
ENABLE_API_KEYS: bool
ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS: bool
API_KEYS_ALLOWED_ENDPOINTS: str
ENABLE_API_KEY: bool
ENABLE_API_KEY_ENDPOINT_RESTRICTIONS: bool
API_KEY_ALLOWED_ENDPOINTS: str
DEFAULT_USER_ROLE: str
DEFAULT_GROUP_ID: str
JWT_EXPIRES_IN: str
ENABLE_COMMUNITY_SHARING: bool
ENABLE_MESSAGE_RATING: bool
ENABLE_FOLDERS: bool
ENABLE_CHANNELS: bool
ENABLE_NOTES: bool
ENABLE_USER_WEBHOOKS: bool
@ -975,23 +869,20 @@ async def update_admin_config(
request.app.state.config.WEBUI_URL = form_data.WEBUI_URL
request.app.state.config.ENABLE_SIGNUP = form_data.ENABLE_SIGNUP
request.app.state.config.ENABLE_API_KEYS = form_data.ENABLE_API_KEYS
request.app.state.config.ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS = (
form_data.ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS
request.app.state.config.ENABLE_API_KEY = form_data.ENABLE_API_KEY
request.app.state.config.ENABLE_API_KEY_ENDPOINT_RESTRICTIONS = (
form_data.ENABLE_API_KEY_ENDPOINT_RESTRICTIONS
)
request.app.state.config.API_KEYS_ALLOWED_ENDPOINTS = (
form_data.API_KEYS_ALLOWED_ENDPOINTS
request.app.state.config.API_KEY_ALLOWED_ENDPOINTS = (
form_data.API_KEY_ALLOWED_ENDPOINTS
)
request.app.state.config.ENABLE_FOLDERS = form_data.ENABLE_FOLDERS
request.app.state.config.ENABLE_CHANNELS = form_data.ENABLE_CHANNELS
request.app.state.config.ENABLE_NOTES = form_data.ENABLE_NOTES
if form_data.DEFAULT_USER_ROLE in ["pending", "user", "admin"]:
request.app.state.config.DEFAULT_USER_ROLE = form_data.DEFAULT_USER_ROLE
request.app.state.config.DEFAULT_GROUP_ID = form_data.DEFAULT_GROUP_ID
pattern = r"^(-1|0|(-?\d+(\.\d+)?)(ms|s|m|h|d|w))$"
# Check if the input string matches the pattern
@ -1018,15 +909,13 @@ async def update_admin_config(
"SHOW_ADMIN_DETAILS": request.app.state.config.SHOW_ADMIN_DETAILS,
"WEBUI_URL": request.app.state.config.WEBUI_URL,
"ENABLE_SIGNUP": request.app.state.config.ENABLE_SIGNUP,
"ENABLE_API_KEYS": request.app.state.config.ENABLE_API_KEYS,
"ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS": request.app.state.config.ENABLE_API_KEYS_ENDPOINT_RESTRICTIONS,
"API_KEYS_ALLOWED_ENDPOINTS": request.app.state.config.API_KEYS_ALLOWED_ENDPOINTS,
"ENABLE_API_KEY": request.app.state.config.ENABLE_API_KEY,
"ENABLE_API_KEY_ENDPOINT_RESTRICTIONS": request.app.state.config.ENABLE_API_KEY_ENDPOINT_RESTRICTIONS,
"API_KEY_ALLOWED_ENDPOINTS": request.app.state.config.API_KEY_ALLOWED_ENDPOINTS,
"DEFAULT_USER_ROLE": request.app.state.config.DEFAULT_USER_ROLE,
"DEFAULT_GROUP_ID": request.app.state.config.DEFAULT_GROUP_ID,
"JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN,
"ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING,
"ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING,
"ENABLE_FOLDERS": request.app.state.config.ENABLE_FOLDERS,
"ENABLE_CHANNELS": request.app.state.config.ENABLE_CHANNELS,
"ENABLE_NOTES": request.app.state.config.ENABLE_NOTES,
"ENABLE_USER_WEBHOOKS": request.app.state.config.ENABLE_USER_WEBHOOKS,
@ -1147,11 +1036,9 @@ async def update_ldap_config(
# create api key
@router.post("/api_key", response_model=ApiKey)
async def generate_api_key(request: Request, user=Depends(get_current_user)):
if not request.app.state.config.ENABLE_API_KEYS or not has_permission(
user.id, "features.api_keys", request.app.state.config.USER_PERMISSIONS
):
if not request.app.state.config.ENABLE_API_KEY:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
status.HTTP_403_FORBIDDEN,
detail=ERROR_MESSAGES.API_KEY_CREATION_NOT_ALLOWED,
)
@ -1169,7 +1056,8 @@ async def generate_api_key(request: Request, user=Depends(get_current_user)):
# delete api key
@router.delete("/api_key", response_model=bool)
async def delete_api_key(user=Depends(get_current_user)):
return Users.delete_user_api_key_by_id(user.id)
success = Users.update_user_api_key_by_id(user.id, None)
return success
# get api key

File diff suppressed because it is too large Load diff

View file

@ -7,7 +7,6 @@ from open_webui.socket.main import get_event_emitter
from open_webui.models.chats import (
ChatForm,
ChatImportForm,
ChatsImportForm,
ChatResponse,
Chats,
ChatTitleIdResponse,
@ -143,15 +142,26 @@ async def create_new_chat(form_data: ChatForm, user=Depends(get_verified_user)):
############################
# ImportChats
# ImportChat
############################
@router.post("/import", response_model=list[ChatResponse])
async def import_chats(form_data: ChatsImportForm, user=Depends(get_verified_user)):
@router.post("/import", response_model=Optional[ChatResponse])
async def import_chat(form_data: ChatImportForm, user=Depends(get_verified_user)):
try:
chats = Chats.import_chats(user.id, form_data.chats)
return chats
chat = Chats.import_chat(user.id, form_data)
if chat:
tags = chat.meta.get("tags", [])
for tag_id in tags:
tag_id = tag_id.replace(" ", "_").lower()
tag_name = " ".join([word.capitalize() for word in tag_id.split("_")])
if (
tag_id != "none"
and Tags.get_tag_by_name_and_user_id(tag_name, user.id) is None
):
Tags.insert_new_tag(tag_name, user.id)
return ChatResponse(**chat.model_dump())
except Exception as e:
log.exception(e)
raise HTTPException(
@ -218,7 +228,7 @@ async def get_chat_list_by_folder_id(
folder_id: str, page: Optional[int] = 1, user=Depends(get_verified_user)
):
try:
limit = 10
limit = 60
skip = (page - 1) * limit
return [
@ -648,28 +658,19 @@ async def clone_chat_by_id(
"title": form_data.title if form_data.title else f"Clone of {chat.title}",
}
chats = Chats.import_chats(
chat = Chats.import_chat(
user.id,
[
ChatImportForm(
**{
"chat": updated_chat,
"meta": chat.meta,
"pinned": chat.pinned,
"folder_id": chat.folder_id,
}
)
],
ChatImportForm(
**{
"chat": updated_chat,
"meta": chat.meta,
"pinned": chat.pinned,
"folder_id": chat.folder_id,
}
),
)
if chats:
chat = chats[0]
return ChatResponse(**chat.model_dump())
else:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=ERROR_MESSAGES.DEFAULT(),
)
return ChatResponse(**chat.model_dump())
else:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT()
@ -697,28 +698,18 @@ async def clone_shared_chat_by_id(id: str, user=Depends(get_verified_user)):
"title": f"Clone of {chat.title}",
}
chats = Chats.import_chats(
chat = Chats.import_chat(
user.id,
[
ChatImportForm(
**{
"chat": updated_chat,
"meta": chat.meta,
"pinned": chat.pinned,
"folder_id": chat.folder_id,
}
)
],
ChatImportForm(
**{
"chat": updated_chat,
"meta": chat.meta,
"pinned": chat.pinned,
"folder_id": chat.folder_id,
}
),
)
if chats:
chat = chats[0]
return ChatResponse(**chat.model_dump())
else:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=ERROR_MESSAGES.DEFAULT(),
)
return ChatResponse(**chat.model_dump())
else:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT()

View file

@ -1,5 +1,4 @@
import logging
import copy
from fastapi import APIRouter, Depends, Request, HTTPException
from pydantic import BaseModel, ConfigDict
import aiohttp
@ -16,7 +15,6 @@ from open_webui.utils.tools import (
set_tool_servers,
)
from open_webui.utils.mcp.client import MCPClient
from open_webui.models.oauth_sessions import OAuthSessions
from open_webui.env import SRC_LOG_LEVELS
@ -144,7 +142,6 @@ class ToolServerConnection(BaseModel):
path: str
type: Optional[str] = "openapi" # openapi, mcp
auth_type: Optional[str]
headers: Optional[dict | str] = None
key: Optional[str]
config: Optional[dict]
@ -168,21 +165,6 @@ async def set_tool_servers_config(
form_data: ToolServersConfigForm,
user=Depends(get_admin_user),
):
for connection in request.app.state.config.TOOL_SERVER_CONNECTIONS:
server_type = connection.get("type", "openapi")
auth_type = connection.get("auth_type", "none")
if auth_type == "oauth_2.1":
# Remove existing OAuth clients for tool servers
server_id = connection.get("info", {}).get("id")
client_key = f"{server_type}:{server_id}"
try:
request.app.state.oauth_client_manager.remove_client(client_key)
except:
pass
# Set new tool server connections
request.app.state.config.TOOL_SERVER_CONNECTIONS = [
connection.model_dump() for connection in form_data.TOOL_SERVER_CONNECTIONS
]
@ -194,7 +176,6 @@ async def set_tool_servers_config(
if server_type == "mcp":
server_id = connection.get("info", {}).get("id")
auth_type = connection.get("auth_type", "none")
if auth_type == "oauth_2.1" and server_id:
try:
oauth_client_info = connection.get("info", {}).get(
@ -230,7 +211,7 @@ async def verify_tool_servers_config(
log.debug(
f"Trying to fetch OAuth 2.1 discovery document from {discovery_url}"
)
async with aiohttp.ClientSession(trust_env=True) as session:
async with aiohttp.ClientSession() as session:
async with session.get(
discovery_url
) as oauth_server_metadata_response:
@ -271,26 +252,18 @@ async def verify_tool_servers_config(
elif form_data.auth_type == "session":
token = request.state.token.credentials
elif form_data.auth_type == "system_oauth":
oauth_token = None
try:
if request.cookies.get("oauth_session_id", None):
oauth_token = await request.app.state.oauth_manager.get_oauth_token(
token = await request.app.state.oauth_manager.get_oauth_token(
user.id,
request.cookies.get("oauth_session_id", None),
)
if oauth_token:
token = oauth_token.get("access_token", "")
except Exception as e:
pass
if token:
headers = {"Authorization": f"Bearer {token}"}
if form_data.headers and isinstance(form_data.headers, dict):
if headers is None:
headers = {}
headers.update(form_data.headers)
await client.connect(form_data.url, headers=headers)
specs = await client.list_tool_specs()
return {
@ -308,7 +281,6 @@ async def verify_tool_servers_config(
await client.disconnect()
else: # openapi
token = None
headers = None
if form_data.auth_type == "bearer":
token = form_data.key
elif form_data.auth_type == "session":
@ -316,29 +288,15 @@ async def verify_tool_servers_config(
elif form_data.auth_type == "system_oauth":
try:
if request.cookies.get("oauth_session_id", None):
oauth_token = (
await request.app.state.oauth_manager.get_oauth_token(
user.id,
request.cookies.get("oauth_session_id", None),
)
token = await request.app.state.oauth_manager.get_oauth_token(
user.id,
request.cookies.get("oauth_session_id", None),
)
if oauth_token:
token = oauth_token.get("access_token", "")
except Exception as e:
pass
if token:
headers = {"Authorization": f"Bearer {token}"}
if form_data.headers and isinstance(form_data.headers, dict):
if headers is None:
headers = {}
headers.update(form_data.headers)
url = get_tool_server_url(form_data.url, form_data.path)
return await get_tool_server_data(url, headers=headers)
return await get_tool_server_data(token, url)
except HTTPException as e:
raise e
except Exception as e:
@ -463,7 +421,6 @@ async def set_code_execution_config(
############################
class ModelsConfigForm(BaseModel):
DEFAULT_MODELS: Optional[str]
DEFAULT_PINNED_MODELS: Optional[str]
MODEL_ORDER_LIST: Optional[list[str]]
@ -471,7 +428,6 @@ class ModelsConfigForm(BaseModel):
async def get_models_config(request: Request, user=Depends(get_admin_user)):
return {
"DEFAULT_MODELS": request.app.state.config.DEFAULT_MODELS,
"DEFAULT_PINNED_MODELS": request.app.state.config.DEFAULT_PINNED_MODELS,
"MODEL_ORDER_LIST": request.app.state.config.MODEL_ORDER_LIST,
}
@ -481,11 +437,9 @@ async def set_models_config(
request: Request, form_data: ModelsConfigForm, user=Depends(get_admin_user)
):
request.app.state.config.DEFAULT_MODELS = form_data.DEFAULT_MODELS
request.app.state.config.DEFAULT_PINNED_MODELS = form_data.DEFAULT_PINNED_MODELS
request.app.state.config.MODEL_ORDER_LIST = form_data.MODEL_ORDER_LIST
return {
"DEFAULT_MODELS": request.app.state.config.DEFAULT_MODELS,
"DEFAULT_PINNED_MODELS": request.app.state.config.DEFAULT_PINNED_MODELS,
"MODEL_ORDER_LIST": request.app.state.config.MODEL_ORDER_LIST,
}

View file

@ -7,8 +7,6 @@ from open_webui.models.feedbacks import (
FeedbackModel,
FeedbackResponse,
FeedbackForm,
FeedbackUserResponse,
FeedbackListResponse,
Feedbacks,
)
@ -58,10 +56,35 @@ async def update_config(
}
@router.get("/feedbacks/all", response_model=list[FeedbackResponse])
class UserResponse(BaseModel):
id: str
name: str
email: str
role: str = "pending"
last_active_at: int # timestamp in epoch
updated_at: int # timestamp in epoch
created_at: int # timestamp in epoch
class FeedbackUserResponse(FeedbackResponse):
user: Optional[UserResponse] = None
@router.get("/feedbacks/all", response_model=list[FeedbackUserResponse])
async def get_all_feedbacks(user=Depends(get_admin_user)):
feedbacks = Feedbacks.get_all_feedbacks()
return feedbacks
feedback_list = []
for feedback in feedbacks:
user = Users.get_user_by_id(feedback.user_id)
feedback_list.append(
FeedbackUserResponse(
**feedback.model_dump(),
user=UserResponse(**user.model_dump()) if user else None,
)
)
return feedback_list
@router.delete("/feedbacks/all")
@ -88,31 +111,6 @@ async def delete_feedbacks(user=Depends(get_verified_user)):
return success
PAGE_ITEM_COUNT = 30
@router.get("/feedbacks/list", response_model=FeedbackListResponse)
async def get_feedbacks(
order_by: Optional[str] = None,
direction: Optional[str] = None,
page: Optional[int] = 1,
user=Depends(get_admin_user),
):
limit = PAGE_ITEM_COUNT
page = max(1, page)
skip = (page - 1) * limit
filter = {}
if order_by:
filter["order_by"] = order_by
if direction:
filter["direction"] = direction
result = Feedbacks.get_feedback_items(filter=filter, skip=skip, limit=limit)
return result
@router.post("/feedback", response_model=FeedbackModel)
async def create_feedback(
request: Request,

View file

@ -22,7 +22,6 @@ 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
@ -35,19 +34,12 @@ from open_webui.models.files import (
Files,
)
from open_webui.models.knowledge import Knowledges
from open_webui.models.groups import Groups
from open_webui.routers.knowledge import get_knowledge, get_knowledge_list
from open_webui.routers.retrieval import ProcessFileForm, process_file
from open_webui.routers.audio import transcribe
from open_webui.storage.provider import Storage
from open_webui.utils.auth import get_admin_user, get_verified_user
from open_webui.utils.access_control import has_access
from pydantic import BaseModel
log = logging.getLogger(__name__)
@ -61,37 +53,31 @@ router = APIRouter()
############################
# TODO: Optimize this function to use the knowledge_file table for faster lookups.
def has_access_to_file(
file_id: Optional[str], access_type: str, user=Depends(get_verified_user)
) -> bool:
file = Files.get_file_by_id(file_id)
log.debug(f"Checking if user has {access_type} access to file")
if not file:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=ERROR_MESSAGES.NOT_FOUND,
)
knowledge_bases = Knowledges.get_knowledges_by_file_id(file_id)
user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user.id)}
for knowledge_base in knowledge_bases:
if knowledge_base.user_id == user.id or has_access(
user.id, access_type, knowledge_base.access_control, user_group_ids
):
return True
has_access = False
knowledge_base_id = file.meta.get("collection_name") if file.meta else None
if knowledge_base_id:
knowledge_bases = Knowledges.get_knowledge_bases_by_user_id(
user.id, access_type
)
for knowledge_base in knowledge_bases:
if knowledge_base.id == knowledge_base_id:
return True
has_access = True
break
return False
return has_access
############################
@ -116,7 +102,7 @@ def process_uploaded_file(request, file, file_path, file_item, file_metadata, us
)
):
file_path = Storage.get_file(file_path)
result = transcribe(request, file_path, file_metadata, user)
result = transcribe(request, file_path, file_metadata)
process_file(
request,
@ -129,10 +115,6 @@ def process_uploaded_file(request, file, file_path, file_item, file_metadata, us
request.app.state.config.CONTENT_EXTRACTION_ENGINE == "external"
):
process_file(request, ProcessFileForm(file_id=file_item.id), user=user)
else:
raise Exception(
f"File type {file.content_type} is not supported for processing"
)
else:
log.info(
f"File type {file.content_type} is not provided, but trying to process anyway"

View file

@ -46,23 +46,7 @@ router = APIRouter()
@router.get("/", response_model=list[FolderNameIdResponse])
async def get_folders(request: Request, user=Depends(get_verified_user)):
if request.app.state.config.ENABLE_FOLDERS is False:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
)
if user.role != "admin" and not has_permission(
user.id,
"features.folders",
request.app.state.config.USER_PERMISSIONS,
):
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
)
async def get_folders(user=Depends(get_verified_user)):
folders = Folders.get_folders_by_user_id(user.id)
# Verify folder data integrity
@ -274,10 +258,7 @@ async def update_folder_is_expanded_by_id(
@router.delete("/{id}")
async def delete_folder_by_id(
request: Request,
id: str,
delete_contents: Optional[bool] = True,
user=Depends(get_verified_user),
request: Request, id: str, user=Depends(get_verified_user)
):
if Chats.count_chats_by_folder_id_and_user_id(id, user.id):
chat_delete_permission = has_permission(
@ -296,14 +277,8 @@ async def delete_folder_by_id(
if folder:
try:
folder_ids = Folders.delete_folder_by_id_and_user_id(id, user.id)
for folder_id in folder_ids:
if delete_contents:
Chats.delete_chats_by_user_id_and_folder_id(user.id, folder_id)
else:
Chats.move_chats_by_user_id_and_folder_id(
user.id, folder_id, None
)
Chats.delete_chats_by_user_id_and_folder_id(user.id, folder_id)
return True
except Exception as e:

View file

@ -3,7 +3,7 @@ from pathlib import Path
from typing import Optional
import logging
from open_webui.models.users import Users, UserInfoResponse
from open_webui.models.users import Users
from open_webui.models.groups import (
Groups,
GroupForm,
@ -31,18 +31,11 @@ router = APIRouter()
@router.get("/", response_model=list[GroupResponse])
async def get_groups(share: Optional[bool] = None, user=Depends(get_verified_user)):
filter = {}
if user.role != "admin":
filter["member_id"] = user.id
if share is not None:
filter["share"] = share
groups = Groups.get_groups(filter=filter)
return groups
async def get_groups(user=Depends(get_verified_user)):
if user.role == "admin":
return Groups.get_groups()
else:
return Groups.get_groups_by_member_id(user.id)
############################
@ -55,10 +48,7 @@ async def create_new_group(form_data: GroupForm, user=Depends(get_admin_user)):
try:
group = Groups.insert_new_group(user.id, form_data)
if group:
return GroupResponse(
**group.model_dump(),
member_count=Groups.get_group_member_count_by_id(group.id),
)
return group
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
@ -81,10 +71,7 @@ async def create_new_group(form_data: GroupForm, user=Depends(get_admin_user)):
async def get_group_by_id(id: str, user=Depends(get_admin_user)):
group = Groups.get_group_by_id(id)
if group:
return GroupResponse(
**group.model_dump(),
member_count=Groups.get_group_member_count_by_id(group.id),
)
return group
else:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
@ -92,50 +79,6 @@ async def get_group_by_id(id: str, user=Depends(get_admin_user)):
)
############################
# ExportGroupById
############################
class GroupExportResponse(GroupResponse):
user_ids: list[str] = []
pass
@router.get("/id/{id}/export", response_model=Optional[GroupExportResponse])
async def export_group_by_id(id: str, user=Depends(get_admin_user)):
group = Groups.get_group_by_id(id)
if group:
return GroupExportResponse(
**group.model_dump(),
member_count=Groups.get_group_member_count_by_id(group.id),
user_ids=Groups.get_group_user_ids_by_id(group.id),
)
else:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail=ERROR_MESSAGES.NOT_FOUND,
)
############################
# GetUsersInGroupById
############################
@router.post("/id/{id}/users", response_model=list[UserInfoResponse])
async def get_users_in_group(id: str, user=Depends(get_admin_user)):
try:
users = Users.get_users_by_group_id(id)
return users
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),
)
############################
# UpdateGroupById
############################
@ -146,12 +89,12 @@ async def update_group_by_id(
id: str, form_data: GroupUpdateForm, 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.update_group_by_id(id, form_data)
if group:
return GroupResponse(
**group.model_dump(),
member_count=Groups.get_group_member_count_by_id(group.id),
)
return group
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
@ -180,10 +123,7 @@ async def add_user_to_group(
group = Groups.add_users_to_group(id, form_data.user_ids)
if group:
return GroupResponse(
**group.model_dump(),
member_count=Groups.get_group_member_count_by_id(group.id),
)
return group
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
@ -204,10 +144,7 @@ async def remove_users_from_group(
try:
group = Groups.remove_users_from_group(id, form_data.user_ids)
if group:
return GroupResponse(
**group.model_dump(),
member_count=Groups.get_group_member_count_by_id(group.id),
)
return group
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,

File diff suppressed because it is too large Load diff

View file

@ -1,7 +1,6 @@
from typing import List, Optional
from pydantic import BaseModel
from fastapi import APIRouter, Depends, HTTPException, status, Request, Query
from fastapi.concurrency import run_in_threadpool
import logging
from open_webui.models.knowledge import (
@ -42,38 +41,97 @@ router = APIRouter()
@router.get("/", response_model=list[KnowledgeUserResponse])
async def get_knowledge(user=Depends(get_verified_user)):
# Return knowledge bases with read access
knowledge_bases = []
if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
knowledge_bases = Knowledges.get_knowledge_bases()
else:
knowledge_bases = Knowledges.get_knowledge_bases_by_user_id(user.id, "read")
return [
KnowledgeUserResponse(
**knowledge_base.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge_base.id),
# Get files for each knowledge base
knowledge_with_files = []
for knowledge_base in knowledge_bases:
files = []
if knowledge_base.data:
files = Files.get_file_metadatas_by_ids(
knowledge_base.data.get("file_ids", [])
)
# Check if all files exist
if len(files) != len(knowledge_base.data.get("file_ids", [])):
missing_files = list(
set(knowledge_base.data.get("file_ids", []))
- set([file.id for file in files])
)
if missing_files:
data = knowledge_base.data or {}
file_ids = data.get("file_ids", [])
for missing_file in missing_files:
file_ids.remove(missing_file)
data["file_ids"] = file_ids
Knowledges.update_knowledge_data_by_id(
id=knowledge_base.id, data=data
)
files = Files.get_file_metadatas_by_ids(file_ids)
knowledge_with_files.append(
KnowledgeUserResponse(
**knowledge_base.model_dump(),
files=files,
)
)
for knowledge_base in knowledge_bases
]
return knowledge_with_files
@router.get("/list", response_model=list[KnowledgeUserResponse])
async def get_knowledge_list(user=Depends(get_verified_user)):
# Return knowledge bases with write access
knowledge_bases = []
if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
knowledge_bases = Knowledges.get_knowledge_bases()
else:
knowledge_bases = Knowledges.get_knowledge_bases_by_user_id(user.id, "write")
return [
KnowledgeUserResponse(
**knowledge_base.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge_base.id),
# Get files for each knowledge base
knowledge_with_files = []
for knowledge_base in knowledge_bases:
files = []
if knowledge_base.data:
files = Files.get_file_metadatas_by_ids(
knowledge_base.data.get("file_ids", [])
)
# Check if all files exist
if len(files) != len(knowledge_base.data.get("file_ids", [])):
missing_files = list(
set(knowledge_base.data.get("file_ids", []))
- set([file.id for file in files])
)
if missing_files:
data = knowledge_base.data or {}
file_ids = data.get("file_ids", [])
for missing_file in missing_files:
file_ids.remove(missing_file)
data["file_ids"] = file_ids
Knowledges.update_knowledge_data_by_id(
id=knowledge_base.id, data=data
)
files = Files.get_file_metadatas_by_ids(file_ids)
knowledge_with_files.append(
KnowledgeUserResponse(
**knowledge_base.model_dump(),
files=files,
)
)
for knowledge_base in knowledge_bases
]
return knowledge_with_files
############################
@ -133,9 +191,26 @@ async def reindex_knowledge_files(request: Request, user=Depends(get_verified_us
log.info(f"Starting reindexing for {len(knowledge_bases)} knowledge bases")
deleted_knowledge_bases = []
for knowledge_base in knowledge_bases:
# -- Robust error handling for missing or invalid data
if not knowledge_base.data or not isinstance(knowledge_base.data, dict):
log.warning(
f"Knowledge base {knowledge_base.id} has no data or invalid data ({knowledge_base.data!r}). Deleting."
)
try:
Knowledges.delete_knowledge_by_id(id=knowledge_base.id)
deleted_knowledge_bases.append(knowledge_base.id)
except Exception as e:
log.error(
f"Failed to delete invalid knowledge base {knowledge_base.id}: {e}"
)
continue
try:
files = Knowledges.get_files_by_id(knowledge_base.id)
file_ids = knowledge_base.data.get("file_ids", [])
files = Files.get_files_by_ids(file_ids)
try:
if VECTOR_DB_CLIENT.has_collection(collection_name=knowledge_base.id):
VECTOR_DB_CLIENT.delete_collection(
@ -148,8 +223,7 @@ async def reindex_knowledge_files(request: Request, user=Depends(get_verified_us
failed_files = []
for file in files:
try:
await run_in_threadpool(
process_file,
process_file(
request,
ProcessFileForm(
file_id=file.id, collection_name=knowledge_base.id
@ -175,7 +249,9 @@ async def reindex_knowledge_files(request: Request, user=Depends(get_verified_us
for failed in failed_files:
log.warning(f"File ID: {failed['file_id']}, Error: {failed['error']}")
log.info(f"Reindexing completed.")
log.info(
f"Reindexing completed. Deleted {len(deleted_knowledge_bases)} invalid knowledge bases: {deleted_knowledge_bases}"
)
return True
@ -193,15 +269,19 @@ async def get_knowledge_by_id(id: str, user=Depends(get_verified_user)):
knowledge = Knowledges.get_knowledge_by_id(id=id)
if knowledge:
if (
user.role == "admin"
or knowledge.user_id == user.id
or has_access(user.id, "read", knowledge.access_control)
):
file_ids = knowledge.data.get("file_ids", []) if knowledge.data else []
files = Files.get_file_metadatas_by_ids(file_ids)
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge.id),
files=files,
)
else:
raise HTTPException(
@ -253,9 +333,12 @@ async def update_knowledge_by_id(
knowledge = Knowledges.update_knowledge_by_id(id=id, form_data=form_data)
if knowledge:
file_ids = knowledge.data.get("file_ids", []) if knowledge.data else []
files = Files.get_file_metadatas_by_ids(file_ids)
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge.id),
files=files,
)
else:
raise HTTPException(
@ -281,6 +364,7 @@ def add_file_to_knowledge_by_id(
user=Depends(get_verified_user),
):
knowledge = Knowledges.get_knowledge_by_id(id=id)
if not knowledge:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
@ -309,11 +393,6 @@ def add_file_to_knowledge_by_id(
detail=ERROR_MESSAGES.FILE_NOT_PROCESSED,
)
# Add file to knowledge base
Knowledges.add_file_to_knowledge_by_id(
knowledge_id=id, file_id=form_data.file_id, user_id=user.id
)
# Add content to the vector database
try:
process_file(
@ -329,10 +408,32 @@ def add_file_to_knowledge_by_id(
)
if knowledge:
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge.id),
)
data = knowledge.data or {}
file_ids = data.get("file_ids", [])
if form_data.file_id not in file_ids:
file_ids.append(form_data.file_id)
data["file_ids"] = file_ids
knowledge = Knowledges.update_knowledge_data_by_id(id=id, data=data)
if knowledge:
files = Files.get_file_metadatas_by_ids(file_ids)
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=files,
)
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.DEFAULT("knowledge"),
)
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.DEFAULT("file_id"),
)
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
@ -391,9 +492,14 @@ def update_file_from_knowledge_by_id(
)
if knowledge:
data = knowledge.data or {}
file_ids = data.get("file_ids", [])
files = Files.get_file_metadatas_by_ids(file_ids)
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge.id),
files=files,
)
else:
raise HTTPException(
@ -438,19 +544,11 @@ def remove_file_from_knowledge_by_id(
detail=ERROR_MESSAGES.NOT_FOUND,
)
Knowledges.remove_file_from_knowledge_by_id(
knowledge_id=id, file_id=form_data.file_id
)
# Remove content from the vector database
try:
VECTOR_DB_CLIENT.delete(
collection_name=knowledge.id, filter={"file_id": form_data.file_id}
) # Remove by file_id first
VECTOR_DB_CLIENT.delete(
collection_name=knowledge.id, filter={"hash": file.hash}
) # Remove by hash as well in case of duplicates
)
except Exception as e:
log.debug("This was most likely caused by bypassing embedding processing")
log.debug(e)
@ -471,10 +569,32 @@ def remove_file_from_knowledge_by_id(
Files.delete_file_by_id(form_data.file_id)
if knowledge:
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge.id),
)
data = knowledge.data or {}
file_ids = data.get("file_ids", [])
if form_data.file_id in file_ids:
file_ids.remove(form_data.file_id)
data["file_ids"] = file_ids
knowledge = Knowledges.update_knowledge_data_by_id(id=id, data=data)
if knowledge:
files = Files.get_file_metadatas_by_ids(file_ids)
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=files,
)
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.DEFAULT("knowledge"),
)
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.DEFAULT("file_id"),
)
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
@ -575,7 +695,8 @@ async def reset_knowledge_by_id(id: str, user=Depends(get_verified_user)):
log.debug(e)
pass
knowledge = Knowledges.reset_knowledge_by_id(id=id)
knowledge = Knowledges.update_knowledge_data_by_id(id=id, data={"file_ids": []})
return knowledge
@ -585,7 +706,7 @@ async def reset_knowledge_by_id(id: str, user=Depends(get_verified_user)):
@router.post("/{id}/files/batch/add", response_model=Optional[KnowledgeFilesResponse])
async def add_files_to_knowledge_batch(
def add_files_to_knowledge_batch(
request: Request,
id: str,
form_data: list[KnowledgeFileIdForm],
@ -625,7 +746,7 @@ async def add_files_to_knowledge_batch(
# Process files
try:
result = await process_files_batch(
result = process_files_batch(
request=request,
form_data=BatchProcessFilesForm(files=files, collection_name=id),
user=user,
@ -636,19 +757,25 @@ async def add_files_to_knowledge_batch(
)
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
# Add successful files to knowledge base
data = knowledge.data or {}
existing_file_ids = data.get("file_ids", [])
# Only add files that were successfully processed
successful_file_ids = [r.file_id for r in result.results if r.status == "completed"]
for file_id in successful_file_ids:
Knowledges.add_file_to_knowledge_by_id(
knowledge_id=id, file_id=file_id, user_id=user.id
)
if file_id not in existing_file_ids:
existing_file_ids.append(file_id)
data["file_ids"] = existing_file_ids
knowledge = Knowledges.update_knowledge_data_by_id(id=id, data=data)
# If there were any errors, include them in the response
if result.errors:
error_details = [f"{err.file_id}: {err.error}" for err in result.errors]
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge.id),
files=Files.get_file_metadatas_by_ids(existing_file_ids),
warnings={
"message": "Some files failed to process",
"errors": error_details,
@ -657,5 +784,5 @@ async def add_files_to_knowledge_batch(
return KnowledgeFilesResponse(
**knowledge.model_dump(),
files=Knowledges.get_file_metadatas_by_id(knowledge.id),
files=Files.get_file_metadatas_by_ids(existing_file_ids),
)

View file

@ -1,7 +1,6 @@
from fastapi import APIRouter, Depends, HTTPException, Request
from pydantic import BaseModel
import logging
import asyncio
from typing import Optional
from open_webui.models.memories import Memories, MemoryModel
@ -18,7 +17,7 @@ router = APIRouter()
@router.get("/ef")
async def get_embeddings(request: Request):
return {"result": await request.app.state.EMBEDDING_FUNCTION("hello world")}
return {"result": request.app.state.EMBEDDING_FUNCTION("hello world")}
############################
@ -52,15 +51,15 @@ async def add_memory(
):
memory = Memories.insert_new_memory(user.id, form_data.content)
vector = await request.app.state.EMBEDDING_FUNCTION(memory.content, user=user)
VECTOR_DB_CLIENT.upsert(
collection_name=f"user-memory-{user.id}",
items=[
{
"id": memory.id,
"text": memory.content,
"vector": vector,
"vector": request.app.state.EMBEDDING_FUNCTION(
memory.content, user=user
),
"metadata": {"created_at": memory.created_at},
}
],
@ -87,11 +86,9 @@ async def query_memory(
if not memories:
raise HTTPException(status_code=404, detail="No memories found for user")
vector = await request.app.state.EMBEDDING_FUNCTION(form_data.content, user=user)
results = VECTOR_DB_CLIENT.search(
collection_name=f"user-memory-{user.id}",
vectors=[vector],
vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content, user=user)],
limit=form_data.k,
)
@ -108,28 +105,21 @@ async def reset_memory_from_vector_db(
VECTOR_DB_CLIENT.delete_collection(f"user-memory-{user.id}")
memories = Memories.get_memories_by_user_id(user.id)
# Generate vectors in parallel
vectors = await asyncio.gather(
*[
request.app.state.EMBEDDING_FUNCTION(memory.content, user=user)
for memory in memories
]
)
VECTOR_DB_CLIENT.upsert(
collection_name=f"user-memory-{user.id}",
items=[
{
"id": memory.id,
"text": memory.content,
"vector": vectors[idx],
"vector": request.app.state.EMBEDDING_FUNCTION(
memory.content, user=user
),
"metadata": {
"created_at": memory.created_at,
"updated_at": memory.updated_at,
},
}
for idx, memory in enumerate(memories)
for memory in memories
],
)
@ -174,15 +164,15 @@ async def update_memory_by_id(
raise HTTPException(status_code=404, detail="Memory not found")
if form_data.content is not None:
vector = await request.app.state.EMBEDDING_FUNCTION(memory.content, user=user)
VECTOR_DB_CLIENT.upsert(
collection_name=f"user-memory-{user.id}",
items=[
{
"id": memory.id,
"text": memory.content,
"vector": vector,
"vector": request.app.state.EMBEDDING_FUNCTION(
memory.content, user=user
),
"metadata": {
"created_at": memory.created_at,
"updated_at": memory.updated_at,

View file

@ -5,12 +5,11 @@ import json
import asyncio
import logging
from open_webui.models.groups import Groups
from open_webui.models.models import (
ModelForm,
ModelModel,
ModelResponse,
ModelListResponse,
ModelUserResponse,
Models,
)
@ -36,7 +35,7 @@ log = logging.getLogger(__name__)
router = APIRouter()
def is_valid_model_id(model_id: str) -> bool:
def validate_model_id(model_id: str) -> bool:
return model_id and len(model_id) <= 256
@ -45,47 +44,12 @@ def is_valid_model_id(model_id: str) -> bool:
###########################
PAGE_ITEM_COUNT = 30
@router.get(
"/list", response_model=ModelListResponse
) # do NOT use "/" as path, conflicts with main.py
async def get_models(
query: Optional[str] = None,
view_option: Optional[str] = None,
tag: Optional[str] = None,
order_by: Optional[str] = None,
direction: Optional[str] = None,
page: Optional[int] = 1,
user=Depends(get_verified_user),
):
limit = PAGE_ITEM_COUNT
page = max(1, page)
skip = (page - 1) * limit
filter = {}
if query:
filter["query"] = query
if view_option:
filter["view_option"] = view_option
if tag:
filter["tag"] = tag
if order_by:
filter["order_by"] = order_by
if direction:
filter["direction"] = direction
if not user.role == "admin" or not BYPASS_ADMIN_ACCESS_CONTROL:
groups = Groups.get_groups_by_member_id(user.id)
if groups:
filter["group_ids"] = [group.id for group in groups]
filter["user_id"] = user.id
return Models.search_models(user.id, filter=filter, skip=skip, limit=limit)
@router.get("/", response_model=list[ModelUserResponse])
async def get_models(id: Optional[str] = None, user=Depends(get_verified_user)):
if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
return Models.get_models()
else:
return Models.get_models_by_user_id(user.id)
###########################
@ -98,30 +62,6 @@ async def get_base_models(user=Depends(get_admin_user)):
return Models.get_base_models()
###########################
# GetModelTags
###########################
@router.get("/tags", response_model=list[str])
async def get_model_tags(user=Depends(get_verified_user)):
if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
models = Models.get_models()
else:
models = Models.get_models_by_user_id(user.id)
tags_set = set()
for model in models:
if model.meta:
meta = model.meta.model_dump()
for tag in meta.get("tags", []):
tags_set.add((tag.get("name")))
tags = [tag for tag in tags_set]
tags.sort()
return tags
############################
# CreateNewModel
############################
@ -148,7 +88,7 @@ async def create_new_model(
detail=ERROR_MESSAGES.MODEL_ID_TAKEN,
)
if not is_valid_model_id(form_data.id):
if not validate_model_id(form_data.id):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.MODEL_ID_TOO_LONG,
@ -171,19 +111,8 @@ async def create_new_model(
@router.get("/export", response_model=list[ModelModel])
async def export_models(request: Request, user=Depends(get_verified_user)):
if user.role != "admin" and not has_permission(
user.id, "workspace.models_export", request.app.state.config.USER_PERMISSIONS
):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail=ERROR_MESSAGES.UNAUTHORIZED,
)
if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
return Models.get_models()
else:
return Models.get_models_by_user_id(user.id)
async def export_models(user=Depends(get_admin_user)):
return Models.get_models()
############################
@ -197,17 +126,8 @@ class ModelsImportForm(BaseModel):
@router.post("/import", response_model=bool)
async def import_models(
request: Request,
user=Depends(get_verified_user),
form_data: ModelsImportForm = (...),
user: str = Depends(get_admin_user), form_data: ModelsImportForm = (...)
):
if user.role != "admin" and not has_permission(
user.id, "workspace.models_import", request.app.state.config.USER_PERMISSIONS
):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail=ERROR_MESSAGES.UNAUTHORIZED,
)
try:
data = form_data.models
if isinstance(data, list):
@ -215,7 +135,7 @@ async def import_models(
# Here, you can add logic to validate model_data if needed
model_id = model_data.get("id")
if model_id and is_valid_model_id(model_id):
if model_id and validate_model_id(model_id):
existing_model = Models.get_model_by_id(model_id)
if existing_model:
# Update existing model
@ -261,10 +181,6 @@ async def sync_models(
###########################
class ModelIdForm(BaseModel):
id: str
# Note: We're not using the typical url path param here, but instead using a query parameter to allow '/' in the id
@router.get("/model", response_model=Optional[ModelResponse])
async def get_model_by_id(id: str, user=Depends(get_verified_user)):
@ -311,7 +227,6 @@ async def get_model_profile_image(id: str, user=Depends(get_verified_user)):
)
except Exception as e:
pass
return FileResponse(f"{STATIC_DIR}/favicon.png")
else:
return FileResponse(f"{STATIC_DIR}/favicon.png")
@ -359,10 +274,12 @@ async def toggle_model_by_id(id: str, user=Depends(get_verified_user)):
@router.post("/model/update", response_model=Optional[ModelModel])
async def update_model_by_id(
id: str,
form_data: ModelForm,
user=Depends(get_verified_user),
):
model = Models.get_model_by_id(form_data.id)
model = Models.get_model_by_id(id)
if not model:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
@ -379,7 +296,7 @@ async def update_model_by_id(
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
)
model = Models.update_model_by_id(form_data.id, ModelForm(**form_data.model_dump()))
model = Models.update_model_by_id(id, form_data)
return model
@ -388,9 +305,9 @@ async def update_model_by_id(
############################
@router.post("/model/delete", response_model=bool)
async def delete_model_by_id(form_data: ModelIdForm, user=Depends(get_verified_user)):
model = Models.get_model_by_id(form_data.id)
@router.delete("/model/delete", response_model=bool)
async def delete_model_by_id(id: str, user=Depends(get_verified_user)):
model = Models.get_model_by_id(id)
if not model:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
@ -407,7 +324,7 @@ async def delete_model_by_id(form_data: ModelIdForm, user=Depends(get_verified_u
detail=ERROR_MESSAGES.UNAUTHORIZED,
)
result = Models.delete_model_by_id(form_data.id)
result = Models.delete_model_by_id(id)
return result

View file

@ -16,8 +16,8 @@ from urllib.parse import urlparse
import aiohttp
from aiocache import cached
import requests
from urllib.parse import quote
from open_webui.utils.headers import include_user_info_headers
from open_webui.models.chats import Chats
from open_webui.models.users import UserModel
@ -82,17 +82,22 @@ async def send_get_request(url, key=None, user: UserModel = None):
timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
try:
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
headers = {
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
async with session.get(
url,
headers=headers,
headers={
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
ssl=AIOHTTP_CLIENT_SESSION_SSL,
) as response:
return await response.json()
@ -128,20 +133,28 @@ async def send_post_request(
trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
)
headers = {
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
if metadata and metadata.get("chat_id"):
headers["X-OpenWebUI-Chat-Id"] = metadata.get("chat_id")
r = await session.post(
url,
data=payload,
headers=headers,
headers={
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
**(
{"X-OpenWebUI-Chat-Id": metadata.get("chat_id")}
if metadata and metadata.get("chat_id")
else {}
),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
ssl=AIOHTTP_CLIENT_SESSION_SSL,
)
@ -233,16 +246,21 @@ async def verify_connection(
timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST),
) as session:
try:
headers = {
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
async with session.get(
f"{url}/api/version",
headers=headers,
headers={
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
ssl=AIOHTTP_CLIENT_SESSION_SSL,
) as r:
if r.status != 200:
@ -451,17 +469,22 @@ async def get_ollama_tags(
r = None
try:
headers = {
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.request(
method="GET",
url=f"{url}/api/tags",
headers=headers,
headers={
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
)
r.raise_for_status()
@ -815,18 +838,23 @@ async def copy_model(
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
try:
headers = {
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.request(
method="POST",
url=f"{url}/api/copy",
headers=headers,
headers={
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
@ -879,21 +907,25 @@ async def delete_model(
url = request.app.state.config.OLLAMA_BASE_URLS[url_idx]
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
r = None
try:
headers = {
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.request(
method="DELETE",
url=f"{url}/api/delete",
headers=headers,
json=form_data,
data=json.dumps(form_data).encode(),
headers={
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
)
r.raise_for_status()
@ -941,16 +973,24 @@ async def show_model_info(
key = get_api_key(url_idx, url, request.app.state.config.OLLAMA_API_CONFIGS)
try:
headers = {
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.request(
method="POST", url=f"{url}/api/show", headers=headers, json=form_data
method="POST",
url=f"{url}/api/show",
headers={
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
data=json.dumps(form_data).encode(),
)
r.raise_for_status()
@ -1024,18 +1064,23 @@ async def embed(
form_data.model = form_data.model.replace(f"{prefix_id}.", "")
try:
headers = {
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.request(
method="POST",
url=f"{url}/api/embed",
headers=headers,
headers={
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
@ -1106,18 +1151,23 @@ async def embeddings(
form_data.model = form_data.model.replace(f"{prefix_id}.", "")
try:
headers = {
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
r = requests.request(
method="POST",
url=f"{url}/api/embeddings",
headers=headers,
headers={
"Content-Type": "application/json",
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()

View file

@ -7,6 +7,7 @@ from typing import Optional
import aiohttp
from aiocache import cached
import requests
from urllib.parse import quote
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
@ -44,12 +45,10 @@ from open_webui.utils.payload import (
)
from open_webui.utils.misc import (
convert_logit_bias_input_to_json,
stream_chunks_handler,
)
from open_webui.utils.auth import get_admin_user, get_verified_user
from open_webui.utils.access_control import has_access
from open_webui.utils.headers import include_user_info_headers
log = logging.getLogger(__name__)
@ -67,16 +66,21 @@ async def send_get_request(url, key=None, user: UserModel = None):
timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_MODEL_LIST)
try:
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
headers = {
**({"Authorization": f"Bearer {key}"} if key else {}),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
async with session.get(
url,
headers=headers,
headers={
**({"Authorization": f"Bearer {key}"} if key else {}),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user
else {}
),
},
ssl=AIOHTTP_CLIENT_SESSION_SSL,
) as response:
return await response.json()
@ -136,13 +140,23 @@ async def get_headers_and_cookies(
if "openrouter.ai" in url
else {}
),
**(
{
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
**(
{"X-OpenWebUI-Chat-Id": metadata.get("chat_id")}
if metadata and metadata.get("chat_id")
else {}
),
}
if ENABLE_FORWARD_USER_INFO_HEADERS
else {}
),
}
if ENABLE_FORWARD_USER_INFO_HEADERS and user:
headers = include_user_info_headers(headers, user)
if metadata and metadata.get("chat_id"):
headers["X-OpenWebUI-Chat-Id"] = metadata.get("chat_id")
token = None
auth_type = config.get("auth_type")
@ -487,55 +501,50 @@ async def get_all_models(request: Request, user: UserModel) -> dict[str, list]:
return response
return None
def is_supported_openai_models(model_id):
if any(
name in model_id
for name in [
"babbage",
"dall-e",
"davinci",
"embedding",
"tts",
"whisper",
]
):
return False
return True
def get_merged_models(model_lists):
def merge_models_lists(model_lists):
log.debug(f"merge_models_lists {model_lists}")
models = {}
merged_list = []
for idx, model_list in enumerate(model_lists):
if model_list is not None and "error" not in model_list:
for model in model_list:
model_id = model.get("id") or model.get("name")
for idx, models in enumerate(model_lists):
if models is not None and "error" not in models:
if (
"api.openai.com"
in request.app.state.config.OPENAI_API_BASE_URLS[idx]
and not is_supported_openai_models(model_id)
):
# Skip unwanted OpenAI models
continue
if model_id and model_id not in models:
models[model_id] = {
merged_list.extend(
[
{
**model,
"name": model.get("name", model_id),
"name": model.get("name", model["id"]),
"owned_by": "openai",
"openai": model,
"connection_type": model.get("connection_type", "external"),
"urlIdx": idx,
}
for model in models
if (model.get("id") or model.get("name"))
and (
"api.openai.com"
not in request.app.state.config.OPENAI_API_BASE_URLS[idx]
or not any(
name in model["id"]
for name in [
"babbage",
"dall-e",
"davinci",
"embedding",
"tts",
"whisper",
]
)
)
]
)
return models
return merged_list
models = get_merged_models(map(extract_data, responses))
models = {"data": merge_models_lists(map(extract_data, responses))}
log.debug(f"models: {models}")
request.app.state.OPENAI_MODELS = models
return {"data": list(models.values())}
request.app.state.OPENAI_MODELS = {model["id"]: model for model in models["data"]}
return models
@router.get("/models")
@ -748,7 +757,6 @@ def get_azure_allowed_params(api_version: str) -> set[str]:
"response_format",
"seed",
"max_completion_tokens",
"reasoning_effort",
}
try:
@ -939,7 +947,7 @@ async def generate_chat_completion(
if "text/event-stream" in r.headers.get("Content-Type", ""):
streaming = True
return StreamingResponse(
stream_chunks_handler(r.content),
r.content,
status_code=r.status,
headers=dict(r.headers),
background=BackgroundTask(

View file

@ -48,15 +48,8 @@ async def get_prompt_list(user=Depends(get_verified_user)):
async def create_new_prompt(
request: Request, form_data: PromptForm, user=Depends(get_verified_user)
):
if user.role != "admin" and not (
has_permission(
user.id, "workspace.prompts", request.app.state.config.USER_PERMISSIONS
)
or has_permission(
user.id,
"workspace.prompts_import",
request.app.state.config.USER_PERMISSIONS,
)
if user.role != "admin" and not has_permission(
user.id, "workspace.prompts", request.app.state.config.USER_PERMISSIONS
):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,

View file

@ -32,7 +32,7 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter, TokenTextSpl
from langchain_text_splitters import MarkdownHeaderTextSplitter
from langchain_core.documents import Document
from open_webui.models.files import FileModel, FileUpdateForm, Files
from open_webui.models.files import FileModel, Files
from open_webui.models.knowledge import Knowledges
from open_webui.storage.provider import Storage
@ -64,7 +64,6 @@ from open_webui.retrieval.web.serply import search_serply
from open_webui.retrieval.web.serpstack import search_serpstack
from open_webui.retrieval.web.tavily import search_tavily
from open_webui.retrieval.web.bing import search_bing
from open_webui.retrieval.web.azure import search_azure
from open_webui.retrieval.web.exa import search_exa
from open_webui.retrieval.web.perplexity import search_perplexity
from open_webui.retrieval.web.sougou import search_sougou
@ -123,7 +122,7 @@ log.setLevel(SRC_LOG_LEVELS["RAG"])
def get_ef(
engine: str,
embedding_model: str,
auto_update: bool = RAG_EMBEDDING_MODEL_AUTO_UPDATE,
auto_update: bool = False,
):
ef = None
if embedding_model and engine == "":
@ -148,7 +147,7 @@ def get_rf(
reranking_model: Optional[str] = None,
external_reranker_url: str = "",
external_reranker_api_key: str = "",
auto_update: bool = RAG_RERANKING_MODEL_AUTO_UPDATE,
auto_update: bool = False,
):
rf = None
if reranking_model:
@ -241,14 +240,13 @@ class SearchForm(BaseModel):
async def get_status(request: Request):
return {
"status": True,
"CHUNK_SIZE": request.app.state.config.CHUNK_SIZE,
"CHUNK_OVERLAP": request.app.state.config.CHUNK_OVERLAP,
"RAG_TEMPLATE": request.app.state.config.RAG_TEMPLATE,
"RAG_EMBEDDING_ENGINE": request.app.state.config.RAG_EMBEDDING_ENGINE,
"RAG_EMBEDDING_MODEL": request.app.state.config.RAG_EMBEDDING_MODEL,
"RAG_RERANKING_MODEL": request.app.state.config.RAG_RERANKING_MODEL,
"RAG_EMBEDDING_BATCH_SIZE": request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,
"ENABLE_ASYNC_EMBEDDING": request.app.state.config.ENABLE_ASYNC_EMBEDDING,
"chunk_size": request.app.state.config.CHUNK_SIZE,
"chunk_overlap": request.app.state.config.CHUNK_OVERLAP,
"template": request.app.state.config.RAG_TEMPLATE,
"embedding_engine": request.app.state.config.RAG_EMBEDDING_ENGINE,
"embedding_model": request.app.state.config.RAG_EMBEDDING_MODEL,
"reranking_model": request.app.state.config.RAG_RERANKING_MODEL,
"embedding_batch_size": request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,
}
@ -256,10 +254,9 @@ async def get_status(request: Request):
async def get_embedding_config(request: Request, user=Depends(get_admin_user)):
return {
"status": True,
"RAG_EMBEDDING_ENGINE": request.app.state.config.RAG_EMBEDDING_ENGINE,
"RAG_EMBEDDING_MODEL": request.app.state.config.RAG_EMBEDDING_MODEL,
"RAG_EMBEDDING_BATCH_SIZE": request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,
"ENABLE_ASYNC_EMBEDDING": request.app.state.config.ENABLE_ASYNC_EMBEDDING,
"embedding_engine": request.app.state.config.RAG_EMBEDDING_ENGINE,
"embedding_model": request.app.state.config.RAG_EMBEDDING_MODEL,
"embedding_batch_size": request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,
"openai_config": {
"url": request.app.state.config.RAG_OPENAI_API_BASE_URL,
"key": request.app.state.config.RAG_OPENAI_API_KEY,
@ -296,13 +293,18 @@ class EmbeddingModelUpdateForm(BaseModel):
openai_config: Optional[OpenAIConfigForm] = None
ollama_config: Optional[OllamaConfigForm] = None
azure_openai_config: Optional[AzureOpenAIConfigForm] = None
RAG_EMBEDDING_ENGINE: str
RAG_EMBEDDING_MODEL: str
RAG_EMBEDDING_BATCH_SIZE: Optional[int] = 1
ENABLE_ASYNC_EMBEDDING: Optional[bool] = True
embedding_engine: str
embedding_model: str
embedding_batch_size: Optional[int] = 1
def unload_embedding_model(request: Request):
@router.post("/embedding/update")
async def update_embedding_config(
request: Request, form_data: EmbeddingModelUpdateForm, user=Depends(get_admin_user)
):
log.info(
f"Updating embedding model: {request.app.state.config.RAG_EMBEDDING_MODEL} to {form_data.embedding_model}"
)
if request.app.state.config.RAG_EMBEDDING_ENGINE == "":
# unloads current internal embedding model and clears VRAM cache
request.app.state.ef = None
@ -315,25 +317,9 @@ def unload_embedding_model(request: Request):
if torch.cuda.is_available():
torch.cuda.empty_cache()
@router.post("/embedding/update")
async def update_embedding_config(
request: Request, form_data: EmbeddingModelUpdateForm, user=Depends(get_admin_user)
):
log.info(
f"Updating embedding model: {request.app.state.config.RAG_EMBEDDING_MODEL} to {form_data.RAG_EMBEDDING_MODEL}"
)
unload_embedding_model(request)
try:
request.app.state.config.RAG_EMBEDDING_ENGINE = form_data.RAG_EMBEDDING_ENGINE
request.app.state.config.RAG_EMBEDDING_MODEL = form_data.RAG_EMBEDDING_MODEL
request.app.state.config.RAG_EMBEDDING_BATCH_SIZE = (
form_data.RAG_EMBEDDING_BATCH_SIZE
)
request.app.state.config.ENABLE_ASYNC_EMBEDDING = (
form_data.ENABLE_ASYNC_EMBEDDING
)
request.app.state.config.RAG_EMBEDDING_ENGINE = form_data.embedding_engine
request.app.state.config.RAG_EMBEDDING_MODEL = form_data.embedding_model
if request.app.state.config.RAG_EMBEDDING_ENGINE in [
"ollama",
@ -367,6 +353,10 @@ async def update_embedding_config(
form_data.azure_openai_config.version
)
request.app.state.config.RAG_EMBEDDING_BATCH_SIZE = (
form_data.embedding_batch_size
)
request.app.state.ef = get_ef(
request.app.state.config.RAG_EMBEDDING_ENGINE,
request.app.state.config.RAG_EMBEDDING_MODEL,
@ -400,15 +390,13 @@ async def update_embedding_config(
if request.app.state.config.RAG_EMBEDDING_ENGINE == "azure_openai"
else None
),
enable_async=request.app.state.config.ENABLE_ASYNC_EMBEDDING,
)
return {
"status": True,
"RAG_EMBEDDING_ENGINE": request.app.state.config.RAG_EMBEDDING_ENGINE,
"RAG_EMBEDDING_MODEL": request.app.state.config.RAG_EMBEDDING_MODEL,
"RAG_EMBEDDING_BATCH_SIZE": request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,
"ENABLE_ASYNC_EMBEDDING": request.app.state.config.ENABLE_ASYNC_EMBEDDING,
"embedding_engine": request.app.state.config.RAG_EMBEDDING_ENGINE,
"embedding_model": request.app.state.config.RAG_EMBEDDING_MODEL,
"embedding_batch_size": request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,
"openai_config": {
"url": request.app.state.config.RAG_OPENAI_API_BASE_URL,
"key": request.app.state.config.RAG_OPENAI_API_KEY,
@ -442,7 +430,6 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
"RAG_FULL_CONTEXT": request.app.state.config.RAG_FULL_CONTEXT,
# Hybrid search settings
"ENABLE_RAG_HYBRID_SEARCH": request.app.state.config.ENABLE_RAG_HYBRID_SEARCH,
"ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS": request.app.state.config.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS,
"TOP_K_RERANKER": request.app.state.config.TOP_K_RERANKER,
"RELEVANCE_THRESHOLD": request.app.state.config.RELEVANCE_THRESHOLD,
"HYBRID_BM25_WEIGHT": request.app.state.config.HYBRID_BM25_WEIGHT,
@ -464,12 +451,20 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
"EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
"TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
"DOCLING_SERVER_URL": request.app.state.config.DOCLING_SERVER_URL,
"DOCLING_API_KEY": request.app.state.config.DOCLING_API_KEY,
"DOCLING_PARAMS": request.app.state.config.DOCLING_PARAMS,
"DOCLING_DO_OCR": request.app.state.config.DOCLING_DO_OCR,
"DOCLING_FORCE_OCR": request.app.state.config.DOCLING_FORCE_OCR,
"DOCLING_OCR_ENGINE": request.app.state.config.DOCLING_OCR_ENGINE,
"DOCLING_OCR_LANG": request.app.state.config.DOCLING_OCR_LANG,
"DOCLING_PDF_BACKEND": request.app.state.config.DOCLING_PDF_BACKEND,
"DOCLING_TABLE_MODE": request.app.state.config.DOCLING_TABLE_MODE,
"DOCLING_PIPELINE": request.app.state.config.DOCLING_PIPELINE,
"DOCLING_DO_PICTURE_DESCRIPTION": request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION,
"DOCLING_PICTURE_DESCRIPTION_MODE": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE,
"DOCLING_PICTURE_DESCRIPTION_LOCAL": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL,
"DOCLING_PICTURE_DESCRIPTION_API": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API,
"DOCUMENT_INTELLIGENCE_ENDPOINT": request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
"DOCUMENT_INTELLIGENCE_KEY": request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
"DOCUMENT_INTELLIGENCE_MODEL": request.app.state.config.DOCUMENT_INTELLIGENCE_MODEL,
"MISTRAL_OCR_API_BASE_URL": request.app.state.config.MISTRAL_OCR_API_BASE_URL,
"MISTRAL_OCR_API_KEY": request.app.state.config.MISTRAL_OCR_API_KEY,
# MinerU settings
"MINERU_API_MODE": request.app.state.config.MINERU_API_MODE,
@ -532,7 +527,6 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
"PERPLEXITY_API_KEY": request.app.state.config.PERPLEXITY_API_KEY,
"PERPLEXITY_MODEL": request.app.state.config.PERPLEXITY_MODEL,
"PERPLEXITY_SEARCH_CONTEXT_USAGE": request.app.state.config.PERPLEXITY_SEARCH_CONTEXT_USAGE,
"PERPLEXITY_SEARCH_API_URL": request.app.state.config.PERPLEXITY_SEARCH_API_URL,
"SOUGOU_API_SID": request.app.state.config.SOUGOU_API_SID,
"SOUGOU_API_SK": request.app.state.config.SOUGOU_API_SK,
"WEB_LOADER_ENGINE": request.app.state.config.WEB_LOADER_ENGINE,
@ -590,7 +584,6 @@ class WebConfig(BaseModel):
PERPLEXITY_API_KEY: Optional[str] = None
PERPLEXITY_MODEL: Optional[str] = None
PERPLEXITY_SEARCH_CONTEXT_USAGE: Optional[str] = None
PERPLEXITY_SEARCH_API_URL: Optional[str] = None
SOUGOU_API_SID: Optional[str] = None
SOUGOU_API_SK: Optional[str] = None
WEB_LOADER_ENGINE: Optional[str] = None
@ -618,7 +611,6 @@ class ConfigForm(BaseModel):
# Hybrid search settings
ENABLE_RAG_HYBRID_SEARCH: Optional[bool] = None
ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS: Optional[bool] = None
TOP_K_RERANKER: Optional[int] = None
RELEVANCE_THRESHOLD: Optional[float] = None
HYBRID_BM25_WEIGHT: Optional[float] = None
@ -644,12 +636,20 @@ class ConfigForm(BaseModel):
TIKA_SERVER_URL: Optional[str] = None
DOCLING_SERVER_URL: Optional[str] = None
DOCLING_API_KEY: Optional[str] = None
DOCLING_PARAMS: Optional[dict] = None
DOCLING_DO_OCR: Optional[bool] = None
DOCLING_FORCE_OCR: Optional[bool] = None
DOCLING_OCR_ENGINE: Optional[str] = None
DOCLING_OCR_LANG: Optional[str] = None
DOCLING_PDF_BACKEND: Optional[str] = None
DOCLING_TABLE_MODE: Optional[str] = None
DOCLING_PIPELINE: Optional[str] = None
DOCLING_DO_PICTURE_DESCRIPTION: Optional[bool] = None
DOCLING_PICTURE_DESCRIPTION_MODE: Optional[str] = None
DOCLING_PICTURE_DESCRIPTION_LOCAL: Optional[dict] = None
DOCLING_PICTURE_DESCRIPTION_API: Optional[dict] = None
DOCUMENT_INTELLIGENCE_ENDPOINT: Optional[str] = None
DOCUMENT_INTELLIGENCE_KEY: Optional[str] = None
DOCUMENT_INTELLIGENCE_MODEL: Optional[str] = None
MISTRAL_OCR_API_BASE_URL: Optional[str] = None
MISTRAL_OCR_API_KEY: Optional[str] = None
# MinerU settings
@ -716,11 +716,6 @@ async def update_rag_config(
if form_data.ENABLE_RAG_HYBRID_SEARCH is not None
else request.app.state.config.ENABLE_RAG_HYBRID_SEARCH
)
request.app.state.config.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS = (
form_data.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS
if form_data.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS is not None
else request.app.state.config.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS
)
request.app.state.config.TOP_K_RERANKER = (
form_data.TOP_K_RERANKER
@ -824,16 +819,68 @@ async def update_rag_config(
if form_data.DOCLING_SERVER_URL is not None
else request.app.state.config.DOCLING_SERVER_URL
)
request.app.state.config.DOCLING_API_KEY = (
form_data.DOCLING_API_KEY
if form_data.DOCLING_API_KEY is not None
else request.app.state.config.DOCLING_API_KEY
)
request.app.state.config.DOCLING_PARAMS = (
form_data.DOCLING_PARAMS
if form_data.DOCLING_PARAMS is not None
else request.app.state.config.DOCLING_PARAMS
)
request.app.state.config.DOCLING_DO_OCR = (
form_data.DOCLING_DO_OCR
if form_data.DOCLING_DO_OCR is not None
else request.app.state.config.DOCLING_DO_OCR
)
request.app.state.config.DOCLING_FORCE_OCR = (
form_data.DOCLING_FORCE_OCR
if form_data.DOCLING_FORCE_OCR is not None
else request.app.state.config.DOCLING_FORCE_OCR
)
request.app.state.config.DOCLING_OCR_ENGINE = (
form_data.DOCLING_OCR_ENGINE
if form_data.DOCLING_OCR_ENGINE is not None
else request.app.state.config.DOCLING_OCR_ENGINE
)
request.app.state.config.DOCLING_OCR_LANG = (
form_data.DOCLING_OCR_LANG
if form_data.DOCLING_OCR_LANG is not None
else request.app.state.config.DOCLING_OCR_LANG
)
request.app.state.config.DOCLING_PDF_BACKEND = (
form_data.DOCLING_PDF_BACKEND
if form_data.DOCLING_PDF_BACKEND is not None
else request.app.state.config.DOCLING_PDF_BACKEND
)
request.app.state.config.DOCLING_TABLE_MODE = (
form_data.DOCLING_TABLE_MODE
if form_data.DOCLING_TABLE_MODE is not None
else request.app.state.config.DOCLING_TABLE_MODE
)
request.app.state.config.DOCLING_PIPELINE = (
form_data.DOCLING_PIPELINE
if form_data.DOCLING_PIPELINE is not None
else request.app.state.config.DOCLING_PIPELINE
)
request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION = (
form_data.DOCLING_DO_PICTURE_DESCRIPTION
if form_data.DOCLING_DO_PICTURE_DESCRIPTION is not None
else request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION
)
request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE = (
form_data.DOCLING_PICTURE_DESCRIPTION_MODE
if form_data.DOCLING_PICTURE_DESCRIPTION_MODE is not None
else request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE
)
request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL = (
form_data.DOCLING_PICTURE_DESCRIPTION_LOCAL
if form_data.DOCLING_PICTURE_DESCRIPTION_LOCAL is not None
else request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL
)
request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API = (
form_data.DOCLING_PICTURE_DESCRIPTION_API
if form_data.DOCLING_PICTURE_DESCRIPTION_API is not None
else request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API
)
request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT = (
form_data.DOCUMENT_INTELLIGENCE_ENDPOINT
if form_data.DOCUMENT_INTELLIGENCE_ENDPOINT is not None
@ -844,17 +891,6 @@ async def update_rag_config(
if form_data.DOCUMENT_INTELLIGENCE_KEY is not None
else request.app.state.config.DOCUMENT_INTELLIGENCE_KEY
)
request.app.state.config.DOCUMENT_INTELLIGENCE_MODEL = (
form_data.DOCUMENT_INTELLIGENCE_MODEL
if form_data.DOCUMENT_INTELLIGENCE_MODEL is not None
else request.app.state.config.DOCUMENT_INTELLIGENCE_MODEL
)
request.app.state.config.MISTRAL_OCR_API_BASE_URL = (
form_data.MISTRAL_OCR_API_BASE_URL
if form_data.MISTRAL_OCR_API_BASE_URL is not None
else request.app.state.config.MISTRAL_OCR_API_BASE_URL
)
request.app.state.config.MISTRAL_OCR_API_KEY = (
form_data.MISTRAL_OCR_API_KEY
if form_data.MISTRAL_OCR_API_KEY is not None
@ -934,6 +970,7 @@ async def update_rag_config(
request.app.state.config.RAG_RERANKING_MODEL,
request.app.state.config.RAG_EXTERNAL_RERANKER_URL,
request.app.state.config.RAG_EXTERNAL_RERANKER_API_KEY,
True,
)
request.app.state.RERANKING_FUNCTION = get_reranking_function(
@ -1063,9 +1100,6 @@ async def update_rag_config(
request.app.state.config.PERPLEXITY_SEARCH_CONTEXT_USAGE = (
form_data.web.PERPLEXITY_SEARCH_CONTEXT_USAGE
)
request.app.state.config.PERPLEXITY_SEARCH_API_URL = (
form_data.web.PERPLEXITY_SEARCH_API_URL
)
request.app.state.config.SOUGOU_API_SID = form_data.web.SOUGOU_API_SID
request.app.state.config.SOUGOU_API_SK = form_data.web.SOUGOU_API_SK
@ -1134,12 +1168,20 @@ async def update_rag_config(
"EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
"TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
"DOCLING_SERVER_URL": request.app.state.config.DOCLING_SERVER_URL,
"DOCLING_API_KEY": request.app.state.config.DOCLING_API_KEY,
"DOCLING_PARAMS": request.app.state.config.DOCLING_PARAMS,
"DOCLING_DO_OCR": request.app.state.config.DOCLING_DO_OCR,
"DOCLING_FORCE_OCR": request.app.state.config.DOCLING_FORCE_OCR,
"DOCLING_OCR_ENGINE": request.app.state.config.DOCLING_OCR_ENGINE,
"DOCLING_OCR_LANG": request.app.state.config.DOCLING_OCR_LANG,
"DOCLING_PDF_BACKEND": request.app.state.config.DOCLING_PDF_BACKEND,
"DOCLING_TABLE_MODE": request.app.state.config.DOCLING_TABLE_MODE,
"DOCLING_PIPELINE": request.app.state.config.DOCLING_PIPELINE,
"DOCLING_DO_PICTURE_DESCRIPTION": request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION,
"DOCLING_PICTURE_DESCRIPTION_MODE": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE,
"DOCLING_PICTURE_DESCRIPTION_LOCAL": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL,
"DOCLING_PICTURE_DESCRIPTION_API": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API,
"DOCUMENT_INTELLIGENCE_ENDPOINT": request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
"DOCUMENT_INTELLIGENCE_KEY": request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
"DOCUMENT_INTELLIGENCE_MODEL": request.app.state.config.DOCUMENT_INTELLIGENCE_MODEL,
"MISTRAL_OCR_API_BASE_URL": request.app.state.config.MISTRAL_OCR_API_BASE_URL,
"MISTRAL_OCR_API_KEY": request.app.state.config.MISTRAL_OCR_API_KEY,
# MinerU settings
"MINERU_API_MODE": request.app.state.config.MINERU_API_MODE,
@ -1202,7 +1244,6 @@ async def update_rag_config(
"PERPLEXITY_API_KEY": request.app.state.config.PERPLEXITY_API_KEY,
"PERPLEXITY_MODEL": request.app.state.config.PERPLEXITY_MODEL,
"PERPLEXITY_SEARCH_CONTEXT_USAGE": request.app.state.config.PERPLEXITY_SEARCH_CONTEXT_USAGE,
"PERPLEXITY_SEARCH_API_URL": request.app.state.config.PERPLEXITY_SEARCH_API_URL,
"SOUGOU_API_SID": request.app.state.config.SOUGOU_API_SID,
"SOUGOU_API_SK": request.app.state.config.SOUGOU_API_SK,
"WEB_LOADER_ENGINE": request.app.state.config.WEB_LOADER_ENGINE,
@ -1256,7 +1297,7 @@ def save_docs_to_vector_db(
return ", ".join(docs_info)
log.debug(
log.info(
f"save_docs_to_vector_db: document {_get_docs_info(docs)} {collection_name}"
)
@ -1403,13 +1444,10 @@ def save_docs_to_vector_db(
),
)
# Run async embedding in sync context
embeddings = asyncio.run(
embedding_function(
list(map(lambda x: x.replace("\n", " "), texts)),
prefix=RAG_EMBEDDING_CONTENT_PREFIX,
user=user,
)
embeddings = embedding_function(
list(map(lambda x: x.replace("\n", " "), texts)),
prefix=RAG_EMBEDDING_CONTENT_PREFIX,
user=user,
)
log.info(f"embeddings generated {len(embeddings)} for {len(texts)} items")
@ -1448,9 +1486,6 @@ def process_file(
form_data: ProcessFileForm,
user=Depends(get_verified_user),
):
"""
Process a file and save its content to the vector database.
"""
if user.role == "admin":
file = Files.get_file_by_id(form_data.file_id)
else:
@ -1530,7 +1565,6 @@ def process_file(
file_path = Storage.get_file(file_path)
loader = Loader(
engine=request.app.state.config.CONTENT_EXTRACTION_ENGINE,
user=user,
DATALAB_MARKER_API_KEY=request.app.state.config.DATALAB_MARKER_API_KEY,
DATALAB_MARKER_API_BASE_URL=request.app.state.config.DATALAB_MARKER_API_BASE_URL,
DATALAB_MARKER_ADDITIONAL_CONFIG=request.app.state.config.DATALAB_MARKER_ADDITIONAL_CONFIG,
@ -1546,13 +1580,23 @@ def process_file(
EXTERNAL_DOCUMENT_LOADER_API_KEY=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
TIKA_SERVER_URL=request.app.state.config.TIKA_SERVER_URL,
DOCLING_SERVER_URL=request.app.state.config.DOCLING_SERVER_URL,
DOCLING_API_KEY=request.app.state.config.DOCLING_API_KEY,
DOCLING_PARAMS=request.app.state.config.DOCLING_PARAMS,
DOCLING_PARAMS={
"do_ocr": request.app.state.config.DOCLING_DO_OCR,
"force_ocr": request.app.state.config.DOCLING_FORCE_OCR,
"ocr_engine": request.app.state.config.DOCLING_OCR_ENGINE,
"ocr_lang": request.app.state.config.DOCLING_OCR_LANG,
"pdf_backend": request.app.state.config.DOCLING_PDF_BACKEND,
"table_mode": request.app.state.config.DOCLING_TABLE_MODE,
"pipeline": request.app.state.config.DOCLING_PIPELINE,
"do_picture_description": request.app.state.config.DOCLING_DO_PICTURE_DESCRIPTION,
"picture_description_mode": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_MODE,
"picture_description_local": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_LOCAL,
"picture_description_api": request.app.state.config.DOCLING_PICTURE_DESCRIPTION_API,
**request.app.state.config.DOCLING_PARAMS,
},
PDF_EXTRACT_IMAGES=request.app.state.config.PDF_EXTRACT_IMAGES,
DOCUMENT_INTELLIGENCE_ENDPOINT=request.app.state.config.DOCUMENT_INTELLIGENCE_ENDPOINT,
DOCUMENT_INTELLIGENCE_KEY=request.app.state.config.DOCUMENT_INTELLIGENCE_KEY,
DOCUMENT_INTELLIGENCE_MODEL=request.app.state.config.DOCUMENT_INTELLIGENCE_MODEL,
MISTRAL_OCR_API_BASE_URL=request.app.state.config.MISTRAL_OCR_API_BASE_URL,
MISTRAL_OCR_API_KEY=request.app.state.config.MISTRAL_OCR_API_KEY,
MINERU_API_MODE=request.app.state.config.MINERU_API_MODE,
MINERU_API_URL=request.app.state.config.MINERU_API_URL,
@ -1678,7 +1722,7 @@ class ProcessTextForm(BaseModel):
@router.post("/process/text")
async def process_text(
def process_text(
request: Request,
form_data: ProcessTextForm,
user=Depends(get_verified_user),
@ -1696,9 +1740,7 @@ async def process_text(
text_content = form_data.content
log.debug(f"text_content: {text_content}")
result = await run_in_threadpool(
save_docs_to_vector_db, request, docs, collection_name, user=user
)
result = save_docs_to_vector_db(request, docs, collection_name, user=user)
if result:
return {
"status": True,
@ -1714,7 +1756,7 @@ async def process_text(
@router.post("/process/youtube")
@router.post("/process/web")
async def process_web(
def process_web(
request: Request, form_data: ProcessUrlForm, user=Depends(get_verified_user)
):
try:
@ -1722,14 +1764,11 @@ async def process_web(
if not collection_name:
collection_name = calculate_sha256_string(form_data.url)[:63]
content, docs = await run_in_threadpool(
get_content_from_url, request, form_data.url
)
content, docs = get_content_from_url(request, form_data.url)
log.debug(f"text_content: {content}")
if not request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL:
await run_in_threadpool(
save_docs_to_vector_db,
save_docs_to_vector_db(
request,
docs,
collection_name,
@ -1761,9 +1800,7 @@ async def process_web(
)
def search_web(
request: Request, engine: str, query: str, user=None
) -> list[SearchResult]:
def search_web(request: Request, engine: str, query: str) -> list[SearchResult]:
"""Search the web using a search engine and return the results as a list of SearchResult objects.
Will look for a search engine API key in environment variables in the following order:
- SEARXNG_QUERY_URL
@ -1802,8 +1839,6 @@ def search_web(
query,
request.app.state.config.WEB_SEARCH_RESULT_COUNT,
request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
request.app.state.config.PERPLEXITY_SEARCH_API_URL,
user,
)
else:
raise Exception("No PERPLEXITY_API_KEY found in environment variables")
@ -1840,7 +1875,6 @@ def search_web(
query,
request.app.state.config.WEB_SEARCH_RESULT_COUNT,
request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
referer=request.app.state.config.WEBUI_URL,
)
else:
raise Exception(
@ -1981,24 +2015,6 @@ def search_web(
request.app.state.config.WEB_SEARCH_RESULT_COUNT,
request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
)
elif engine == "azure":
if (
request.app.state.config.AZURE_AI_SEARCH_API_KEY
and request.app.state.config.AZURE_AI_SEARCH_ENDPOINT
and request.app.state.config.AZURE_AI_SEARCH_INDEX_NAME
):
return search_azure(
request.app.state.config.AZURE_AI_SEARCH_API_KEY,
request.app.state.config.AZURE_AI_SEARCH_ENDPOINT,
request.app.state.config.AZURE_AI_SEARCH_INDEX_NAME,
query,
request.app.state.config.WEB_SEARCH_RESULT_COUNT,
request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
)
else:
raise Exception(
"AZURE_AI_SEARCH_API_KEY, AZURE_AI_SEARCH_ENDPOINT, and AZURE_AI_SEARCH_INDEX_NAME are required for Azure AI Search"
)
elif engine == "exa":
return search_exa(
request.app.state.config.EXA_API_KEY,
@ -2041,13 +2057,11 @@ def search_web(
)
elif engine == "external":
return search_external(
request,
request.app.state.config.EXTERNAL_WEB_SEARCH_URL,
request.app.state.config.EXTERNAL_WEB_SEARCH_API_KEY,
query,
request.app.state.config.WEB_SEARCH_RESULT_COUNT,
request.app.state.config.WEB_SEARCH_DOMAIN_FILTER_LIST,
user=user,
)
else:
raise Exception("No search engine API key found in environment variables")
@ -2072,7 +2086,6 @@ async def process_web_search(
request,
request.app.state.config.WEB_SEARCH_ENGINE,
query,
user,
)
for query in form_data.queries
]
@ -2198,7 +2211,7 @@ class QueryDocForm(BaseModel):
@router.post("/query/doc")
async def query_doc_handler(
def query_doc_handler(
request: Request,
form_data: QueryDocForm,
user=Depends(get_verified_user),
@ -2211,7 +2224,7 @@ async def query_doc_handler(
collection_results[form_data.collection_name] = VECTOR_DB_CLIENT.get(
collection_name=form_data.collection_name
)
return await query_doc_with_hybrid_search(
return query_doc_with_hybrid_search(
collection_name=form_data.collection_name,
collection_result=collection_results[form_data.collection_name],
query=form_data.query,
@ -2221,8 +2234,8 @@ async def query_doc_handler(
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
reranking_function=(
(
lambda query, documents: request.app.state.RERANKING_FUNCTION(
query, documents, user=user
lambda sentences: request.app.state.RERANKING_FUNCTION(
sentences, user=user
)
)
if request.app.state.RERANKING_FUNCTION
@ -2243,12 +2256,11 @@ async def query_doc_handler(
user=user,
)
else:
query_embedding = await request.app.state.EMBEDDING_FUNCTION(
form_data.query, prefix=RAG_EMBEDDING_QUERY_PREFIX, user=user
)
return query_doc(
collection_name=form_data.collection_name,
query_embedding=query_embedding,
query_embedding=request.app.state.EMBEDDING_FUNCTION(
form_data.query, prefix=RAG_EMBEDDING_QUERY_PREFIX, user=user
),
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
user=user,
)
@ -2268,11 +2280,10 @@ class QueryCollectionsForm(BaseModel):
r: Optional[float] = None
hybrid: Optional[bool] = None
hybrid_bm25_weight: Optional[float] = None
enable_enriched_texts: Optional[bool] = None
@router.post("/query/collection")
async def query_collection_handler(
def query_collection_handler(
request: Request,
form_data: QueryCollectionsForm,
user=Depends(get_verified_user),
@ -2281,7 +2292,7 @@ async def query_collection_handler(
if request.app.state.config.ENABLE_RAG_HYBRID_SEARCH and (
form_data.hybrid is None or form_data.hybrid
):
return await query_collection_with_hybrid_search(
return query_collection_with_hybrid_search(
collection_names=form_data.collection_names,
queries=[form_data.query],
embedding_function=lambda query, prefix: request.app.state.EMBEDDING_FUNCTION(
@ -2290,8 +2301,8 @@ async def query_collection_handler(
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
reranking_function=(
(
lambda query, documents: request.app.state.RERANKING_FUNCTION(
query, documents, user=user
lambda sentences: request.app.state.RERANKING_FUNCTION(
sentences, user=user
)
)
if request.app.state.RERANKING_FUNCTION
@ -2309,14 +2320,9 @@ async def query_collection_handler(
if form_data.hybrid_bm25_weight
else request.app.state.config.HYBRID_BM25_WEIGHT
),
enable_enriched_texts=(
form_data.enable_enriched_texts
if form_data.enable_enriched_texts is not None
else request.app.state.config.ENABLE_RAG_HYBRID_SEARCH_ENRICHED_TEXTS
),
)
else:
return await query_collection(
return query_collection(
collection_names=form_data.collection_names,
queries=[form_data.query],
embedding_function=lambda query, prefix: request.app.state.EMBEDDING_FUNCTION(
@ -2398,7 +2404,7 @@ if ENV == "dev":
@router.get("/ef/{text}")
async def get_embeddings(request: Request, text: Optional[str] = "Hello World!"):
return {
"result": await request.app.state.EMBEDDING_FUNCTION(
"result": request.app.state.EMBEDDING_FUNCTION(
text, prefix=RAG_EMBEDDING_QUERY_PREFIX
)
}
@ -2421,7 +2427,7 @@ class BatchProcessFilesResponse(BaseModel):
@router.post("/process/files/batch")
async def process_files_batch(
def process_files_batch(
request: Request,
form_data: BatchProcessFilesForm,
user=Depends(get_verified_user),
@ -2429,19 +2435,16 @@ async def process_files_batch(
"""
Process a batch of files and save them to the vector database.
"""
results: List[BatchProcessFilesResult] = []
errors: List[BatchProcessFilesResult] = []
collection_name = form_data.collection_name
file_results: List[BatchProcessFilesResult] = []
file_errors: List[BatchProcessFilesResult] = []
file_updates: List[FileUpdateForm] = []
# Prepare all documents first
all_docs: List[Document] = []
for file in form_data.files:
try:
text_content = file.data.get("content", "")
docs: List[Document] = [
Document(
page_content=text_content.replace("<br/>", "\n"),
@ -2455,49 +2458,45 @@ async def process_files_batch(
)
]
all_docs.extend(docs)
hash = calculate_sha256_string(text_content)
Files.update_file_hash_by_id(file.id, hash)
Files.update_file_data_by_id(file.id, {"content": text_content})
file_updates.append(
FileUpdateForm(
hash=calculate_sha256_string(text_content),
data={"content": text_content},
)
)
file_results.append(
BatchProcessFilesResult(file_id=file.id, status="prepared")
)
all_docs.extend(docs)
results.append(BatchProcessFilesResult(file_id=file.id, status="prepared"))
except Exception as e:
log.error(f"process_files_batch: Error processing file {file.id}: {str(e)}")
file_errors.append(
errors.append(
BatchProcessFilesResult(file_id=file.id, status="failed", error=str(e))
)
# Save all documents in one batch
if all_docs:
try:
await run_in_threadpool(
save_docs_to_vector_db,
request,
all_docs,
collection_name,
save_docs_to_vector_db(
request=request,
docs=all_docs,
collection_name=collection_name,
add=True,
user=user,
)
# Update all files with collection name
for file_update, file_result in zip(file_updates, file_results):
Files.update_file_by_id(id=file_result.file_id, form_data=file_update)
file_result.status = "completed"
for result in results:
Files.update_file_metadata_by_id(
result.file_id, {"collection_name": collection_name}
)
result.status = "completed"
except Exception as e:
log.error(
f"process_files_batch: Error saving documents to vector DB: {str(e)}"
)
for file_result in file_results:
file_result.status = "failed"
file_errors.append(
BatchProcessFilesResult(file_id=file_result.file_id, error=str(e))
for result in results:
result.status = "failed"
errors.append(
BatchProcessFilesResult(file_id=result.file_id, error=str(e))
)
return BatchProcessFilesResponse(results=file_results, errors=file_errors)
return BatchProcessFilesResponse(results=results, errors=errors)

View file

@ -256,16 +256,15 @@ def get_scim_auth(
)
# Check if SCIM is enabled
enable_scim = getattr(request.app.state, "ENABLE_SCIM", False)
scim_enabled = getattr(request.app.state, "SCIM_ENABLED", False)
log.info(
f"SCIM auth check - raw ENABLE_SCIM: {enable_scim}, type: {type(enable_scim)}"
f"SCIM auth check - raw SCIM_ENABLED: {scim_enabled}, type: {type(scim_enabled)}"
)
# Handle both PersistentConfig and direct value
if hasattr(enable_scim, "value"):
enable_scim = enable_scim.value
if not enable_scim:
if hasattr(scim_enabled, "value"):
scim_enabled = scim_enabled.value
log.info(f"SCIM enabled status after conversion: {scim_enabled}")
if not scim_enabled:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="SCIM is not enabled",
@ -349,10 +348,8 @@ def user_to_scim(user: UserModel, request: Request) -> SCIMUser:
def group_to_scim(group: GroupModel, request: Request) -> SCIMGroup:
"""Convert internal Group model to SCIM Group"""
member_ids = Groups.get_group_user_ids_by_id(group.id)
members = []
for user_id in member_ids:
for user_id in group.user_ids:
user = Users.get_user_by_id(user_id)
if user:
members.append(
@ -719,7 +716,7 @@ async def get_groups(
):
"""List SCIM Groups"""
# Get all groups
groups_list = Groups.get_all_groups()
groups_list = Groups.get_groups()
# Apply pagination
total = len(groups_list)
@ -798,11 +795,9 @@ async def create_group(
update_form = GroupUpdateForm(
name=new_group.name,
description=new_group.description,
user_ids=member_ids,
)
Groups.update_group_by_id(new_group.id, update_form)
Groups.set_group_user_ids_by_id(new_group.id, member_ids)
new_group = Groups.get_group_by_id(new_group.id)
return group_to_scim(new_group, request)
@ -834,7 +829,7 @@ async def update_group(
# Handle members if provided
if group_data.members is not None:
member_ids = [member.value for member in group_data.members]
Groups.set_group_user_ids_by_id(group_id, member_ids)
update_form.user_ids = member_ids
# Update group
updated_group = Groups.update_group_by_id(group_id, update_form)
@ -867,6 +862,7 @@ async def patch_group(
update_form = GroupUpdateForm(
name=group.name,
description=group.description,
user_ids=group.user_ids.copy() if group.user_ids else [],
)
for operation in patch_data.Operations:
@ -879,22 +875,21 @@ async def patch_group(
update_form.name = value
elif path == "members":
# Replace all members
Groups.set_group_user_ids_by_id(
group_id, [member["value"] for member in value]
)
update_form.user_ids = [member["value"] for member in value]
elif op == "add":
if path == "members":
# Add members
if isinstance(value, list):
for member in value:
if isinstance(member, dict) and "value" in member:
Groups.add_users_to_group(group_id, [member["value"]])
if member["value"] not in update_form.user_ids:
update_form.user_ids.append(member["value"])
elif op == "remove":
if path and path.startswith("members[value eq"):
# Remove specific member
member_id = path.split('"')[1]
Groups.remove_users_from_group(group_id, [member_id])
if member_id in update_form.user_ids:
update_form.user_ids.remove(member_id)
# Update group
updated_group = Groups.update_group_by_id(group_id, update_form)

View file

@ -33,7 +33,6 @@ from open_webui.config import (
DEFAULT_AUTOCOMPLETE_GENERATION_PROMPT_TEMPLATE,
DEFAULT_EMOJI_GENERATION_PROMPT_TEMPLATE,
DEFAULT_MOA_GENERATION_PROMPT_TEMPLATE,
DEFAULT_VOICE_MODE_PROMPT_TEMPLATE,
)
from open_webui.env import SRC_LOG_LEVELS
@ -69,7 +68,6 @@ async def get_task_config(request: Request, user=Depends(get_verified_user)):
"ENABLE_RETRIEVAL_QUERY_GENERATION": request.app.state.config.ENABLE_RETRIEVAL_QUERY_GENERATION,
"QUERY_GENERATION_PROMPT_TEMPLATE": request.app.state.config.QUERY_GENERATION_PROMPT_TEMPLATE,
"TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE": request.app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE,
"VOICE_MODE_PROMPT_TEMPLATE": request.app.state.config.VOICE_MODE_PROMPT_TEMPLATE,
}
@ -89,7 +87,6 @@ class TaskConfigForm(BaseModel):
ENABLE_RETRIEVAL_QUERY_GENERATION: bool
QUERY_GENERATION_PROMPT_TEMPLATE: str
TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE: str
VOICE_MODE_PROMPT_TEMPLATE: Optional[str]
@router.post("/config/update")
@ -139,10 +136,6 @@ async def update_task_config(
form_data.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE
)
request.app.state.config.VOICE_MODE_PROMPT_TEMPLATE = (
form_data.VOICE_MODE_PROMPT_TEMPLATE
)
return {
"TASK_MODEL": request.app.state.config.TASK_MODEL,
"TASK_MODEL_EXTERNAL": request.app.state.config.TASK_MODEL_EXTERNAL,
@ -159,7 +152,6 @@ async def update_task_config(
"ENABLE_RETRIEVAL_QUERY_GENERATION": request.app.state.config.ENABLE_RETRIEVAL_QUERY_GENERATION,
"QUERY_GENERATION_PROMPT_TEMPLATE": request.app.state.config.QUERY_GENERATION_PROMPT_TEMPLATE,
"TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE": request.app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE,
"VOICE_MODE_PROMPT_TEMPLATE": request.app.state.config.VOICE_MODE_PROMPT_TEMPLATE,
}

View file

@ -247,19 +247,9 @@ async def load_tool_from_url(
@router.get("/export", response_model=list[ToolModel])
async def export_tools(request: Request, user=Depends(get_verified_user)):
if user.role != "admin" and not has_permission(
user.id, "workspace.tools_export", request.app.state.config.USER_PERMISSIONS
):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail=ERROR_MESSAGES.UNAUTHORIZED,
)
if user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL:
return Tools.get_tools()
else:
return Tools.get_tools_by_user_id(user.id, "read")
async def export_tools(user=Depends(get_admin_user)):
tools = Tools.get_tools()
return tools
############################
@ -273,13 +263,8 @@ async def create_new_tools(
form_data: ToolForm,
user=Depends(get_verified_user),
):
if user.role != "admin" and not (
has_permission(
user.id, "workspace.tools", request.app.state.config.USER_PERMISSIONS
)
or has_permission(
user.id, "workspace.tools_import", request.app.state.config.USER_PERMISSIONS
)
if user.role != "admin" and not has_permission(
user.id, "workspace.tools", request.app.state.config.USER_PERMISSIONS
):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,

View file

@ -6,7 +6,7 @@ import io
from fastapi import APIRouter, Depends, HTTPException, Request, status
from fastapi.responses import Response, StreamingResponse, FileResponse
from pydantic import BaseModel, ConfigDict
from pydantic import BaseModel
from open_webui.models.auths import Auths
@ -16,27 +16,26 @@ from open_webui.models.groups import Groups
from open_webui.models.chats import Chats
from open_webui.models.users import (
UserModel,
UserGroupIdsModel,
UserGroupIdsListResponse,
UserInfoListResponse,
UserListResponse,
UserInfoListResponse,
UserIdNameListResponse,
UserRoleUpdateForm,
UserStatus,
Users,
UserSettings,
UserUpdateForm,
)
from open_webui.socket.main import (
get_active_status_by_user_id,
get_active_user_ids,
get_user_active_status,
)
from open_webui.constants import ERROR_MESSAGES
from open_webui.env import SRC_LOG_LEVELS, STATIC_DIR
from open_webui.utils.auth import (
get_admin_user,
get_password_hash,
get_verified_user,
validate_password,
)
from open_webui.utils.auth import get_admin_user, get_password_hash, get_verified_user
from open_webui.utils.access_control import get_permissions, has_permission
@ -46,6 +45,23 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
router = APIRouter()
############################
# GetActiveUsers
############################
@router.get("/active")
async def get_active_users(
user=Depends(get_verified_user),
):
"""
Get a list of active users.
"""
return {
"user_ids": get_active_user_ids(),
}
############################
# GetUsers
############################
@ -54,7 +70,7 @@ router = APIRouter()
PAGE_ITEM_COUNT = 30
@router.get("/", response_model=UserGroupIdsListResponse)
@router.get("/", response_model=UserListResponse)
async def get_users(
query: Optional[str] = None,
order_by: Optional[str] = None,
@ -75,25 +91,7 @@ async def get_users(
if direction:
filter["direction"] = direction
result = Users.get_users(filter=filter, skip=skip, limit=limit)
users = result["users"]
total = result["total"]
return {
"users": [
UserGroupIdsModel(
**{
**user.model_dump(),
"group_ids": [
group.id for group in Groups.get_groups_by_member_id(user.id)
],
}
)
for user in users
],
"total": total,
}
return Users.get_users(filter=filter, skip=skip, limit=limit)
@router.get("/all", response_model=UserInfoListResponse)
@ -103,31 +101,20 @@ async def get_all_users(
return Users.get_users()
@router.get("/search", response_model=UserInfoListResponse)
@router.get("/search", response_model=UserIdNameListResponse)
async def search_users(
query: Optional[str] = None,
order_by: Optional[str] = None,
direction: Optional[str] = None,
page: Optional[int] = 1,
user=Depends(get_verified_user),
):
limit = PAGE_ITEM_COUNT
page = max(1, page)
page = 1 # Always return the first page for search
skip = (page - 1) * limit
filter = {}
if query:
filter["query"] = query
filter = {}
if query:
filter["query"] = query
if order_by:
filter["order_by"] = order_by
if direction:
filter["direction"] = direction
return Users.get_users(filter=filter, skip=skip, limit=limit)
@ -163,24 +150,13 @@ class WorkspacePermissions(BaseModel):
knowledge: bool = False
prompts: bool = False
tools: bool = False
models_import: bool = False
models_export: bool = False
prompts_import: bool = False
prompts_export: bool = False
tools_import: bool = False
tools_export: bool = False
class SharingPermissions(BaseModel):
models: bool = False
public_models: bool = False
knowledge: bool = False
public_knowledge: bool = False
prompts: bool = False
public_prompts: bool = False
tools: bool = False
public_models: bool = True
public_knowledge: bool = True
public_prompts: bool = True
public_tools: bool = True
notes: bool = False
public_notes: bool = True
@ -207,15 +183,11 @@ class ChatPermissions(BaseModel):
class FeaturesPermissions(BaseModel):
api_keys: bool = False
notes: bool = True
channels: bool = True
folders: bool = True
direct_tool_servers: bool = False
web_search: bool = True
image_generation: bool = True
code_interpreter: bool = True
notes: bool = True
class UserPermissions(BaseModel):
@ -300,43 +272,6 @@ async def update_user_settings_by_session_user(
)
############################
# GetUserStatusBySessionUser
############################
@router.get("/user/status")
async def get_user_status_by_session_user(user=Depends(get_verified_user)):
user = Users.get_user_by_id(user.id)
if user:
return user
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.USER_NOT_FOUND,
)
############################
# UpdateUserStatusBySessionUser
############################
@router.post("/user/status/update")
async def update_user_status_by_session_user(
form_data: UserStatus, user=Depends(get_verified_user)
):
user = Users.get_user_by_id(user.id)
if user:
user = Users.update_user_status_by_id(user.id, form_data)
return user
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.USER_NOT_FOUND,
)
############################
# GetUserInfoBySessionUser
############################
@ -388,15 +323,13 @@ async def update_user_info_by_session_user(
############################
class UserActiveResponse(UserStatus):
class UserResponse(BaseModel):
name: str
profile_image_url: Optional[str] = None
is_active: bool
model_config = ConfigDict(extra="allow")
profile_image_url: str
active: Optional[bool] = None
@router.get("/{user_id}", response_model=UserActiveResponse)
@router.get("/{user_id}", response_model=UserResponse)
async def get_user_by_id(user_id: str, user=Depends(get_verified_user)):
# Check if user_id is a shared chat
# If it is, get the user_id from the chat
@ -414,10 +347,11 @@ async def get_user_by_id(user_id: str, user=Depends(get_verified_user)):
user = Users.get_user_by_id(user_id)
if user:
return UserActiveResponse(
return UserResponse(
**{
**user.model_dump(),
"is_active": Users.is_user_active(user_id),
"name": user.name,
"profile_image_url": user.profile_image_url,
"active": get_active_status_by_user_id(user_id),
}
)
else:
@ -427,7 +361,7 @@ async def get_user_by_id(user_id: str, user=Depends(get_verified_user)):
)
@router.get("/{user_id}/oauth/sessions")
@router.get("/{user_id}/oauth/sessions", response_model=Optional[dict])
async def get_user_oauth_sessions_by_id(user_id: str, user=Depends(get_admin_user)):
sessions = OAuthSessions.get_sessions_by_user_id(user_id)
if sessions and len(sessions) > 0:
@ -484,7 +418,7 @@ async def get_user_profile_image_by_id(user_id: str, user=Depends(get_verified_u
@router.get("/{user_id}/active", response_model=dict)
async def get_user_active_status_by_id(user_id: str, user=Depends(get_verified_user)):
return {
"active": Users.is_user_active(user_id),
"active": get_user_active_status(user_id),
}
@ -537,12 +471,8 @@ async def update_user_by_id(
)
if form_data.password:
try:
validate_password(form_data.password)
except Exception as e:
raise HTTPException(400, detail=str(e))
hashed = get_password_hash(form_data.password)
log.debug(f"hashed: {hashed}")
Auths.update_user_password_by_id(user_id, hashed)
Auths.update_email_by_id(user_id, form_data.email.lower())

View file

@ -124,3 +124,12 @@ async def download_db(user=Depends(get_admin_user)):
media_type="application/octet-stream",
filename="webui.db",
)
@router.get("/litellm/config")
async def download_litellm_config_yaml(user=Depends(get_admin_user)):
return FileResponse(
f"{DATA_DIR}/litellm/config.yaml",
media_type="application/octet-stream",
filename="config.yaml",
)

View file

@ -18,12 +18,7 @@ from open_webui.utils.redis import (
get_sentinel_url_from_env,
)
from open_webui.config import (
CORS_ALLOW_ORIGIN,
)
from open_webui.env import (
VERSION,
ENABLE_WEBSOCKET_SUPPORT,
WEBSOCKET_MANAGER,
WEBSOCKET_REDIS_URL,
@ -32,11 +27,6 @@ from open_webui.env import (
WEBSOCKET_SENTINEL_PORT,
WEBSOCKET_SENTINEL_HOSTS,
REDIS_KEY_PREFIX,
WEBSOCKET_REDIS_OPTIONS,
WEBSOCKET_SERVER_PING_TIMEOUT,
WEBSOCKET_SERVER_PING_INTERVAL,
WEBSOCKET_SERVER_LOGGING,
WEBSOCKET_SERVER_ENGINEIO_LOGGING,
)
from open_webui.utils.auth import decode_token
from open_webui.socket.utils import RedisDict, RedisLock, YdocManager
@ -58,44 +48,30 @@ log.setLevel(SRC_LOG_LEVELS["SOCKET"])
REDIS = None
# Configure CORS for Socket.IO
SOCKETIO_CORS_ORIGINS = "*" if CORS_ALLOW_ORIGIN == ["*"] else CORS_ALLOW_ORIGIN
if WEBSOCKET_MANAGER == "redis":
if WEBSOCKET_SENTINEL_HOSTS:
mgr = socketio.AsyncRedisManager(
get_sentinel_url_from_env(
WEBSOCKET_REDIS_URL, WEBSOCKET_SENTINEL_HOSTS, WEBSOCKET_SENTINEL_PORT
),
redis_options=WEBSOCKET_REDIS_OPTIONS,
)
)
else:
mgr = socketio.AsyncRedisManager(
WEBSOCKET_REDIS_URL, redis_options=WEBSOCKET_REDIS_OPTIONS
)
mgr = socketio.AsyncRedisManager(WEBSOCKET_REDIS_URL)
sio = socketio.AsyncServer(
cors_allowed_origins=SOCKETIO_CORS_ORIGINS,
cors_allowed_origins=[],
async_mode="asgi",
transports=(["websocket"] if ENABLE_WEBSOCKET_SUPPORT else ["polling"]),
allow_upgrades=ENABLE_WEBSOCKET_SUPPORT,
always_connect=True,
client_manager=mgr,
logger=WEBSOCKET_SERVER_LOGGING,
ping_interval=WEBSOCKET_SERVER_PING_INTERVAL,
ping_timeout=WEBSOCKET_SERVER_PING_TIMEOUT,
engineio_logger=WEBSOCKET_SERVER_ENGINEIO_LOGGING,
)
else:
sio = socketio.AsyncServer(
cors_allowed_origins=SOCKETIO_CORS_ORIGINS,
cors_allowed_origins=[],
async_mode="asgi",
transports=(["websocket"] if ENABLE_WEBSOCKET_SUPPORT else ["polling"]),
allow_upgrades=ENABLE_WEBSOCKET_SUPPORT,
always_connect=True,
logger=WEBSOCKET_SERVER_LOGGING,
ping_interval=WEBSOCKET_SERVER_PING_INTERVAL,
ping_timeout=WEBSOCKET_SERVER_PING_TIMEOUT,
engineio_logger=WEBSOCKET_SERVER_ENGINEIO_LOGGING,
)
@ -118,16 +94,14 @@ if WEBSOCKET_MANAGER == "redis":
redis_sentinels = get_sentinels_from_env(
WEBSOCKET_SENTINEL_HOSTS, WEBSOCKET_SENTINEL_PORT
)
MODELS = RedisDict(
f"{REDIS_KEY_PREFIX}:models",
SESSION_POOL = RedisDict(
f"{REDIS_KEY_PREFIX}:session_pool",
redis_url=WEBSOCKET_REDIS_URL,
redis_sentinels=redis_sentinels,
redis_cluster=WEBSOCKET_REDIS_CLUSTER,
)
SESSION_POOL = RedisDict(
f"{REDIS_KEY_PREFIX}:session_pool",
USER_POOL = RedisDict(
f"{REDIS_KEY_PREFIX}:user_pool",
redis_url=WEBSOCKET_REDIS_URL,
redis_sentinels=redis_sentinels,
redis_cluster=WEBSOCKET_REDIS_CLUSTER,
@ -150,9 +124,8 @@ if WEBSOCKET_MANAGER == "redis":
renew_func = clean_up_lock.renew_lock
release_func = clean_up_lock.release_lock
else:
MODELS = {}
SESSION_POOL = {}
USER_POOL = {}
USAGE_POOL = {}
aquire_func = release_func = renew_func = lambda: True
@ -228,6 +201,16 @@ def get_models_in_use():
return models_in_use
def get_active_user_ids():
"""Get the list of active user IDs."""
return list(USER_POOL.keys())
def get_user_active_status(user_id):
"""Check if a user is currently active."""
return user_id in USER_POOL
def get_user_id_from_session_pool(sid):
user = SESSION_POOL.get(sid)
if user:
@ -253,36 +236,10 @@ def get_user_ids_from_room(room):
return active_user_ids
async def emit_to_users(event: str, data: dict, user_ids: list[str]):
"""
Send a message to specific users using their user:{id} rooms.
Args:
event (str): The event name to emit.
data (dict): The payload/data to send.
user_ids (list[str]): The target users' IDs.
"""
try:
for user_id in user_ids:
await sio.emit(event, data, room=f"user:{user_id}")
except Exception as e:
log.debug(f"Failed to emit event {event} to users {user_ids}: {e}")
async def enter_room_for_users(room: str, user_ids: list[str]):
"""
Make all sessions of a user join a specific room.
Args:
room (str): The room to join.
user_ids (list[str]): The target user's IDs.
"""
try:
for user_id in user_ids:
session_ids = get_session_ids_from_room(f"user:{user_id}")
for sid in session_ids:
await sio.enter_room(sid, room)
except Exception as e:
log.debug(f"Failed to make users {user_ids} join room {room}: {e}")
def get_active_status_by_user_id(user_id):
if user_id in USER_POOL:
return True
return False
@sio.on("usage")
@ -312,7 +269,10 @@ async def connect(sid, environ, auth):
SESSION_POOL[sid] = user.model_dump(
exclude=["date_of_birth", "bio", "gender"]
)
await sio.enter_room(sid, f"user:{user.id}")
if user.id in USER_POOL:
USER_POOL[user.id] = USER_POOL[user.id] + [sid]
else:
USER_POOL[user.id] = [sid]
@sio.on("user-join")
@ -330,34 +290,20 @@ async def user_join(sid, data):
if not user:
return
SESSION_POOL[sid] = user.model_dump(
exclude=[
"profile_image_url",
"profile_banner_image_url",
"date_of_birth",
"bio",
"gender",
]
)
await sio.enter_room(sid, f"user:{user.id}")
SESSION_POOL[sid] = user.model_dump(exclude=["date_of_birth", "bio", "gender"])
if user.id in USER_POOL:
USER_POOL[user.id] = USER_POOL[user.id] + [sid]
else:
USER_POOL[user.id] = [sid]
# Join all the channels
channels = Channels.get_channels_by_user_id(user.id)
log.debug(f"{channels=}")
for channel in channels:
await sio.enter_room(sid, f"channel:{channel.id}")
return {"id": user.id, "name": user.name}
@sio.on("heartbeat")
async def heartbeat(sid, data):
user = SESSION_POOL.get(sid)
if user:
Users.update_last_active_by_id(user["id"])
@sio.on("join-channels")
async def join_channel(sid, data):
auth = data["auth"] if "auth" in data else None
@ -425,11 +371,6 @@ async def channel_events(sid, data):
event_data = data["data"]
event_type = event_data["type"]
user = SESSION_POOL.get(sid)
if not user:
return
if event_type == "typing":
await sio.emit(
"events:channel",
@ -437,12 +378,10 @@ async def channel_events(sid, data):
"channel_id": data["channel_id"],
"message_id": data.get("message_id", None),
"data": event_data,
"user": UserNameResponse(**user).model_dump(),
"user": UserNameResponse(**SESSION_POOL[sid]).model_dump(),
},
room=room,
)
elif event_type == "last_read_at":
Channels.update_member_last_read_at(data["channel_id"], user["id"])
@sio.on("ydoc:document:join")
@ -686,6 +625,13 @@ async def disconnect(sid):
if sid in SESSION_POOL:
user = SESSION_POOL[sid]
del SESSION_POOL[sid]
user_id = user["id"]
USER_POOL[user_id] = [_sid for _sid in USER_POOL[user_id] if _sid != sid]
if len(USER_POOL[user_id]) == 0:
del USER_POOL[user_id]
await YDOC_MANAGER.remove_user_from_all_documents(sid)
else:
pass
@ -695,24 +641,40 @@ async def disconnect(sid):
def get_event_emitter(request_info, update_db=True):
async def __event_emitter__(event_data):
user_id = request_info["user_id"]
chat_id = request_info["chat_id"]
message_id = request_info["message_id"]
await sio.emit(
"events",
{
"chat_id": chat_id,
"message_id": message_id,
"data": event_data,
},
room=f"user:{user_id}",
session_ids = list(
set(
USER_POOL.get(user_id, [])
+ (
[request_info.get("session_id")]
if request_info.get("session_id")
else []
)
)
)
chat_id = request_info.get("chat_id", None)
message_id = request_info.get("message_id", None)
emit_tasks = [
sio.emit(
"events",
{
"chat_id": chat_id,
"message_id": message_id,
"data": event_data,
},
to=session_id,
)
for session_id in session_ids
]
await asyncio.gather(*emit_tasks)
if (
update_db
and message_id
and not request_info.get("chat_id", "").startswith("local:")
):
if "type" in event_data and event_data["type"] == "status":
Chats.add_message_status_to_chat_by_id_and_message_id(
request_info["chat_id"],
@ -802,14 +764,7 @@ def get_event_emitter(request_info, update_db=True):
},
)
if (
"user_id" in request_info
and "chat_id" in request_info
and "message_id" in request_info
):
return __event_emitter__
else:
return None
return __event_emitter__
def get_event_call(request_info):
@ -825,14 +780,7 @@ def get_event_call(request_info):
)
return response
if (
"session_id" in request_info
and "chat_id" in request_info
and "message_id" in request_info
):
return __event_caller__
else:
return None
return __event_caller__
get_event_caller = get_event_call

View file

@ -86,15 +86,6 @@ class RedisDict:
def items(self):
return [(k, json.loads(v)) for k, v in self.redis.hgetall(self.name).items()]
def set(self, mapping: dict):
pipe = self.redis.pipeline()
pipe.delete(self.name)
if mapping:
pipe.hset(self.name, mapping={k: json.dumps(v) for k, v in mapping.items()})
pipe.execute()
def get(self, key, default=None):
try:
return self[key]

View file

@ -105,22 +105,6 @@ def has_permission(
return get_permission(default_permissions, permission_hierarchy)
def get_permitted_group_and_user_ids(
type: str = "write", access_control: Optional[dict] = None
) -> Union[Dict[str, List[str]], None]:
if access_control is None:
return None
permission_access = access_control.get(type, {})
permitted_group_ids = permission_access.get("group_ids", [])
permitted_user_ids = permission_access.get("user_ids", [])
return {
"group_ids": permitted_group_ids,
"user_ids": permitted_user_ids,
}
def has_access(
user_id: str,
type: str = "write",
@ -138,12 +122,9 @@ def has_access(
user_groups = Groups.get_groups_by_member_id(user_id)
user_group_ids = {group.id for group in user_groups}
permitted_ids = get_permitted_group_and_user_ids(type, access_control)
if permitted_ids is None:
return False
permitted_group_ids = permitted_ids.get("group_ids", [])
permitted_user_ids = permitted_ids.get("user_ids", [])
permission_access = access_control.get(type, {})
permitted_group_ids = permission_access.get("group_ids", [])
permitted_user_ids = permission_access.get("user_ids", [])
return user_id in permitted_user_ids or any(
group_id in permitted_group_ids for group_id in user_group_ids
@ -155,20 +136,18 @@ def get_users_with_access(
type: str = "write", access_control: Optional[dict] = None
) -> list[UserModel]:
if access_control is None:
result = Users.get_users(filter={"roles": ["!pending"]})
result = Users.get_users()
return result.get("users", [])
permitted_ids = get_permitted_group_and_user_ids(type, access_control)
if permitted_ids is None:
return []
permitted_group_ids = permitted_ids.get("group_ids", [])
permitted_user_ids = permitted_ids.get("user_ids", [])
permission_access = access_control.get(type, {})
permitted_group_ids = permission_access.get("group_ids", [])
permitted_user_ids = permission_access.get("user_ids", [])
user_ids_with_access = set(permitted_user_ids)
group_user_ids_map = Groups.get_group_user_ids_by_ids(permitted_group_ids)
for user_ids in group_user_ids_map.values():
user_ids_with_access.update(user_ids)
for group_id in permitted_group_ids:
group_user_ids = Groups.get_group_user_ids_by_id(group_id)
if group_user_ids:
user_ids_with_access.update(group_user_ids)
return Users.get_users_by_user_ids(list(user_ids_with_access))

View file

@ -194,7 +194,7 @@ class AuditLoggingMiddleware:
auth_header = request.headers.get("Authorization")
try:
user = await get_current_user(
user = get_current_user(
request, None, None, get_http_authorization_cred(auth_header)
)
return user

View file

@ -21,18 +21,13 @@ from typing import Optional, Union, List, Dict
from opentelemetry import trace
from open_webui.utils.access_control import has_permission
from open_webui.models.users import Users
from open_webui.constants import ERROR_MESSAGES
from open_webui.env import (
ENABLE_PASSWORD_VALIDATION,
OFFLINE_MODE,
LICENSE_BLOB,
PASSWORD_VALIDATION_REGEX_PATTERN,
REDIS_KEY_PREFIX,
pk,
WEBUI_SECRET_KEY,
TRUSTED_SIGNATURE_KEY,
@ -164,20 +159,6 @@ def get_password_hash(password: str) -> str:
return bcrypt.hashpw(password.encode("utf-8"), bcrypt.gensalt()).decode("utf-8")
def validate_password(password: str) -> bool:
# The password passed to bcrypt must be 72 bytes or fewer. If it is longer, it will be truncated before hashing.
if len(password.encode("utf-8")) > 72:
raise Exception(
ERROR_MESSAGES.PASSWORD_TOO_LONG,
)
if ENABLE_PASSWORD_VALIDATION:
if not PASSWORD_VALIDATION_REGEX_PATTERN.match(password):
raise Exception(ERROR_MESSAGES.INVALID_PASSWORD())
return True
def verify_password(plain_password: str, hashed_password: str) -> bool:
"""Verify a password against its hash"""
return (
@ -197,9 +178,6 @@ def create_token(data: dict, expires_delta: Union[timedelta, None] = None) -> st
expire = datetime.now(UTC) + expires_delta
payload.update({"exp": expire})
jti = str(uuid.uuid4())
payload.update({"jti": jti})
encoded_jwt = jwt.encode(payload, SESSION_SECRET, algorithm=ALGORITHM)
return encoded_jwt
@ -212,43 +190,6 @@ def decode_token(token: str) -> Optional[dict]:
return None
async def is_valid_token(request, decoded) -> bool:
# Require Redis to check revoked tokens
if request.app.state.redis:
jti = decoded.get("jti")
if jti:
revoked = await request.app.state.redis.get(
f"{REDIS_KEY_PREFIX}:auth:token:{jti}:revoked"
)
if revoked:
return False
return True
async def invalidate_token(request, token):
decoded = decode_token(token)
# Require Redis to store revoked tokens
if request.app.state.redis:
jti = decoded.get("jti")
exp = decoded.get("exp")
if jti and exp:
ttl = exp - int(
datetime.now(UTC).timestamp()
) # Calculate time-to-live for the token
if ttl > 0:
# Store the revoked token in Redis with an expiration time
await request.app.state.redis.set(
f"{REDIS_KEY_PREFIX}:auth:token:{jti}:revoked",
"1",
ex=ttl,
)
def extract_token_from_auth_header(auth_header: str):
return auth_header[len("Bearer ") :]
@ -268,7 +209,7 @@ def get_http_authorization_cred(auth_header: Optional[str]):
return None
async def get_current_user(
def get_current_user(
request: Request,
response: Response,
background_tasks: BackgroundTasks,
@ -287,7 +228,30 @@ async def get_current_user(
# auth by api key
if token.startswith("sk-"):
user = get_current_user_by_api_key(request, token)
if not request.state.enable_api_key:
raise HTTPException(
status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.API_KEY_NOT_ALLOWED
)
if request.app.state.config.ENABLE_API_KEY_ENDPOINT_RESTRICTIONS:
allowed_paths = [
path.strip()
for path in str(
request.app.state.config.API_KEY_ALLOWED_ENDPOINTS
).split(",")
]
# Check if the request path matches any allowed endpoint.
if not any(
request.url.path == allowed
or request.url.path.startswith(allowed + "/")
for allowed in allowed_paths
):
raise HTTPException(
status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.API_KEY_NOT_ALLOWED
)
user = get_current_user_by_api_key(token)
# Add user info to current span
current_span = trace.get_current_span()
@ -300,6 +264,7 @@ async def get_current_user(
return user
# auth by jwt token
try:
try:
data = decode_token(token)
@ -310,12 +275,6 @@ async def get_current_user(
)
if data is not None and "id" in data:
if data.get("jti") and not await is_valid_token(request, data):
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid token",
)
user = Users.get_user_by_id(data["id"])
if user is None:
raise HTTPException(
@ -344,7 +303,9 @@ async def get_current_user(
# Refresh the user's last active timestamp asynchronously
# to prevent blocking the request
if background_tasks:
background_tasks.add_task(Users.update_last_active_by_id, user.id)
background_tasks.add_task(
Users.update_user_last_active_by_id, user.id
)
return user
else:
raise HTTPException(
@ -366,7 +327,7 @@ async def get_current_user(
raise e
def get_current_user_by_api_key(request, api_key: str):
def get_current_user_by_api_key(api_key: str):
user = Users.get_user_by_api_key(api_key)
if user is None:
@ -374,28 +335,17 @@ def get_current_user_by_api_key(request, api_key: str):
status_code=status.HTTP_401_UNAUTHORIZED,
detail=ERROR_MESSAGES.INVALID_TOKEN,
)
else:
# Add user info to current span
current_span = trace.get_current_span()
if current_span:
current_span.set_attribute("client.user.id", user.id)
current_span.set_attribute("client.user.email", user.email)
current_span.set_attribute("client.user.role", user.role)
current_span.set_attribute("client.auth.type", "api_key")
if not request.state.enable_api_keys or (
user.role != "admin"
and not has_permission(
user.id,
"features.api_keys",
request.app.state.config.USER_PERMISSIONS,
)
):
raise HTTPException(
status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.API_KEY_NOT_ALLOWED
)
Users.update_user_last_active_by_id(user.id)
# Add user info to current span
current_span = trace.get_current_span()
if current_span:
current_span.set_attribute("client.user.id", user.id)
current_span.set_attribute("client.user.email", user.email)
current_span.set_attribute("client.user.role", user.role)
current_span.set_attribute("client.auth.type", "api_key")
Users.update_last_active_by_id(user.id)
return user

View file

@ -1,5 +1,5 @@
from open_webui.routers.images import (
get_image_data,
load_b64_image_data,
upload_image,
)
@ -16,18 +16,13 @@ from open_webui.routers.files import upload_file_handler
import mimetypes
import base64
import io
import re
BASE64_IMAGE_URL_PREFIX = re.compile(r"data:image/\w+;base64,", re.IGNORECASE)
MARKDOWN_IMAGE_URL_PATTERN = re.compile(r"!\[(.*?)\]\((.+?)\)", re.IGNORECASE)
def get_image_url_from_base64(request, base64_image_string, metadata, user):
if BASE64_IMAGE_URL_PREFIX.match(base64_image_string):
if "data:image/png;base64" in base64_image_string:
image_url = ""
# Extract base64 image data from the line
image_data, content_type = get_image_data(base64_image_string)
image_data, content_type = load_b64_image_data(base64_image_string)
if image_data is not None:
image_url = upload_image(
request,
@ -40,19 +35,6 @@ def get_image_url_from_base64(request, base64_image_string, metadata, user):
return None
def convert_markdown_base64_images(request, content: str, metadata, user):
def replace(match):
base64_string = match.group(2)
MIN_REPLACEMENT_URL_LENGTH = 1024
if len(base64_string) > MIN_REPLACEMENT_URL_LENGTH:
url = get_image_url_from_base64(request, base64_string, metadata, user)
if url:
return f"![{match.group(1)}]({url})"
return match.group(0)
return MARKDOWN_IMAGE_URL_PATTERN.sub(replace, content)
def load_b64_audio_data(b64_str):
try:
if "," in b64_str:

View file

@ -1,24 +0,0 @@
import logging
from open_webui.models.groups import Groups
log = logging.getLogger(__name__)
def apply_default_group_assignment(
default_group_id: str,
user_id: str,
) -> None:
"""
Apply default group assignment to a user if default_group_id is provided.
Args:
default_group_id: ID of the default group to add the user to
user_id: ID of the user to add to the default group
"""
if default_group_id:
try:
Groups.add_users_to_group(default_group_id, [user_id])
except Exception as e:
log.error(
f"Failed to add user {user_id} to default group {default_group_id}: {e}"
)

View file

@ -1,11 +0,0 @@
from urllib.parse import quote
def include_user_info_headers(headers, user):
return {
**headers,
"X-OpenWebUI-User-Name": quote(user.name, safe=" "),
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}

View file

@ -2,8 +2,6 @@ import asyncio
import json
import logging
import random
import requests
import aiohttp
import urllib.parse
import urllib.request
from typing import Optional
@ -93,25 +91,6 @@ def get_images(ws, prompt, client_id, base_url, api_key):
return {"data": output_images}
async def comfyui_upload_image(image_file_item, base_url, api_key):
url = f"{base_url}/api/upload/image"
headers = {}
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
_, (filename, file_bytes, mime_type) = image_file_item
form = aiohttp.FormData()
form.add_field("image", file_bytes, filename=filename, content_type=mime_type)
form.add_field("type", "input") # required by ComfyUI
async with aiohttp.ClientSession() as session:
async with session.post(url, data=form, headers=headers) as resp:
resp.raise_for_status()
return await resp.json()
class ComfyUINodeInput(BaseModel):
type: Optional[str] = None
node_ids: list[str] = []
@ -124,7 +103,7 @@ class ComfyUIWorkflow(BaseModel):
nodes: list[ComfyUINodeInput]
class ComfyUICreateImageForm(BaseModel):
class ComfyUIGenerateImageForm(BaseModel):
workflow: ComfyUIWorkflow
prompt: str
@ -137,8 +116,8 @@ class ComfyUICreateImageForm(BaseModel):
seed: Optional[int] = None
async def comfyui_create_image(
model: str, payload: ComfyUICreateImageForm, client_id, base_url, api_key
async def comfyui_generate_image(
model: str, payload: ComfyUIGenerateImageForm, client_id, base_url, api_key
):
ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
workflow = json.loads(payload.workflow.workflow)
@ -212,102 +191,3 @@ async def comfyui_create_image(
ws.close()
return images
class ComfyUIEditImageForm(BaseModel):
workflow: ComfyUIWorkflow
image: str | list[str]
prompt: str
width: Optional[int] = None
height: Optional[int] = None
n: Optional[int] = None
steps: Optional[int] = None
seed: Optional[int] = None
async def comfyui_edit_image(
model: str, payload: ComfyUIEditImageForm, client_id, base_url, api_key
):
ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
workflow = json.loads(payload.workflow.workflow)
for node in payload.workflow.nodes:
if node.type:
if node.type == "model":
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = model
elif node.type == "image":
if isinstance(payload.image, list):
# check if multiple images are provided
for idx, node_id in enumerate(node.node_ids):
if idx < len(payload.image):
workflow[node_id]["inputs"][node.key] = payload.image[idx]
else:
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = payload.image
elif node.type == "prompt":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "text"
] = payload.prompt
elif node.type == "negative_prompt":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "text"
] = payload.negative_prompt
elif node.type == "width":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "width"
] = payload.width
elif node.type == "height":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "height"
] = payload.height
elif node.type == "n":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "batch_size"
] = payload.n
elif node.type == "steps":
for node_id in node.node_ids:
workflow[node_id]["inputs"][
node.key if node.key else "steps"
] = payload.steps
elif node.type == "seed":
seed = (
payload.seed
if payload.seed
else random.randint(0, 1125899906842624)
)
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = seed
else:
for node_id in node.node_ids:
workflow[node_id]["inputs"][node.key] = node.value
try:
ws = websocket.WebSocket()
headers = {"Authorization": f"Bearer {api_key}"}
ws.connect(f"{ws_url}/ws?clientId={client_id}", header=headers)
log.info("WebSocket connection established.")
except Exception as e:
log.exception(f"Failed to connect to WebSocket server: {e}")
return None
try:
log.info("Sending workflow to WebSocket server.")
log.info(f"Workflow: {workflow}")
images = await asyncio.to_thread(
get_images, ws, workflow, client_id, base_url, api_key
)
except Exception as e:
log.exception(f"Error while receiving images: {e}")
images = None
ws.close()
return images

View file

@ -2,8 +2,6 @@ import asyncio
from typing import Optional
from contextlib import AsyncExitStack
import anyio
from mcp import ClientSession
from mcp.client.auth import OAuthClientProvider, TokenStorage
from mcp.client.streamable_http import streamablehttp_client
@ -13,29 +11,26 @@ from mcp.shared.auth import OAuthClientInformationFull, OAuthClientMetadata, OAu
class MCPClient:
def __init__(self):
self.session: Optional[ClientSession] = None
self.exit_stack = None
self.exit_stack = AsyncExitStack()
async def connect(self, url: str, headers: Optional[dict] = None):
async with AsyncExitStack() as exit_stack:
try:
self._streams_context = streamablehttp_client(url, headers=headers)
try:
self._streams_context = streamablehttp_client(url, headers=headers)
transport = await exit_stack.enter_async_context(self._streams_context)
read_stream, write_stream, _ = transport
transport = await self.exit_stack.enter_async_context(self._streams_context)
read_stream, write_stream, _ = transport
self._session_context = ClientSession(
read_stream, write_stream
) # pylint: disable=W0201
self._session_context = ClientSession(
read_stream, write_stream
) # pylint: disable=W0201
self.session = await exit_stack.enter_async_context(
self._session_context
)
with anyio.fail_after(10):
await self.session.initialize()
self.exit_stack = exit_stack.pop_all()
except Exception as e:
await asyncio.shield(self.disconnect())
raise e
self.session = await self.exit_stack.enter_async_context(
self._session_context
)
await self.session.initialize()
except Exception as e:
await self.disconnect()
raise e
async def list_tool_specs(self) -> Optional[dict]:
if not self.session:

View file

@ -24,7 +24,6 @@ from fastapi.responses import HTMLResponse
from starlette.responses import Response, StreamingResponse, JSONResponse
from open_webui.utils.misc import is_string_allowed
from open_webui.models.oauth_sessions import OAuthSessions
from open_webui.models.chats import Chats
from open_webui.models.folders import Folders
@ -32,6 +31,7 @@ from open_webui.models.users import Users
from open_webui.socket.main import (
get_event_call,
get_event_emitter,
get_active_status_by_user_id,
)
from open_webui.routers.tasks import (
generate_queries,
@ -45,10 +45,10 @@ from open_webui.routers.retrieval import (
SearchForm,
)
from open_webui.routers.images import (
load_b64_image_data,
image_generations,
CreateImageForm,
image_edits,
EditImageForm,
GenerateImageForm,
upload_image,
)
from open_webui.routers.pipelines import (
process_pipeline_inlet_filter,
@ -58,7 +58,7 @@ from open_webui.routers.memories import query_memory, QueryMemoryForm
from open_webui.utils.webhook import post_webhook
from open_webui.utils.files import (
convert_markdown_base64_images,
get_audio_url_from_base64,
get_file_url_from_base64,
get_image_url_from_base64,
)
@ -91,7 +91,7 @@ from open_webui.utils.misc import (
convert_logit_bias_input_to_json,
get_content_from_message,
)
from open_webui.utils.tools import get_tools, get_updated_tool_function
from open_webui.utils.tools import get_tools
from open_webui.utils.plugin import load_function_module_by_id
from open_webui.utils.filter import (
get_sorted_filter_ids,
@ -104,7 +104,6 @@ from open_webui.utils.mcp.client import MCPClient
from open_webui.config import (
CACHE_DIR,
DEFAULT_VOICE_MODE_PROMPT_TEMPLATE,
DEFAULT_TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE,
DEFAULT_CODE_INTERPRETER_PROMPT,
CODE_INTERPRETER_BLOCKED_MODULES,
@ -112,7 +111,6 @@ from open_webui.config import (
from open_webui.env import (
SRC_LOG_LEVELS,
GLOBAL_LOG_LEVEL,
ENABLE_CHAT_RESPONSE_BASE64_IMAGE_URL_CONVERSION,
CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE,
CHAT_RESPONSE_MAX_TOOL_CALL_RETRIES,
BYPASS_MODEL_ACCESS_CONTROL,
@ -304,27 +302,19 @@ async def chat_completion_tools_handler(
def get_tools_function_calling_payload(messages, task_model_id, content):
user_message = get_last_user_message(messages)
if user_message and messages and messages[-1]["role"] == "user":
# Remove the last user message to avoid duplication
messages = messages[:-1]
recent_messages = messages[-4:] if len(messages) > 4 else messages
chat_history = "\n".join(
f"{message['role'].upper()}: \"\"\"{get_content_from_message(message)}\"\"\""
for message in recent_messages
)
prompt = (
f"History:\n{chat_history}\nQuery: {user_message}"
if chat_history
else f"Query: {user_message}"
)
prompt = f"History:\n{chat_history}\nQuery: {user_message}"
return {
"model": task_model_id,
"messages": [
{"role": "system", "content": content},
{"role": "user", "content": prompt},
{"role": "user", "content": f"Query: {prompt}"},
],
"stream": False,
"metadata": {"task": str(TASKS.FUNCTION_CALLING)},
@ -458,6 +448,12 @@ async def chat_completion_tools_handler(
}
)
print(
f"Tool {tool_function_name} result: {tool_result}",
tool_result_files,
tool_result_embeds,
)
if tool_result:
tool = tools[tool_function_name]
tool_id = tool.get("tool_id", "")
@ -485,6 +481,12 @@ async def chat_completion_tools_handler(
}
)
# Citation is not enabled for this tool
body["messages"] = add_or_update_user_message(
f"\nTool `{tool_name}` Output: {tool_result}",
body["messages"],
)
if (
tools[tool_function_name]
.get("metadata", {})
@ -716,211 +718,98 @@ async def chat_web_search_handler(
return form_data
def get_last_images(message_list):
images = []
for message in reversed(message_list):
images_flag = False
for file in message.get("files", []):
if file.get("type") == "image":
images.append(file.get("url"))
images_flag = True
if images_flag:
break
return images
def get_image_urls(delta_images, request, metadata, user) -> list[str]:
if not isinstance(delta_images, list):
return []
image_urls = []
for img in delta_images:
if not isinstance(img, dict) or img.get("type") != "image_url":
continue
url = img.get("image_url", {}).get("url")
if not url:
continue
if url.startswith("data:image/png;base64"):
url = get_image_url_from_base64(request, url, metadata, user)
image_urls.append(url)
return image_urls
async def chat_image_generation_handler(
request: Request, form_data: dict, extra_params: dict, user
):
metadata = extra_params.get("__metadata__", {})
chat_id = metadata.get("chat_id", None)
if not chat_id:
return form_data
__event_emitter__ = extra_params["__event_emitter__"]
await __event_emitter__(
{
"type": "status",
"data": {"description": "Creating image", "done": False},
}
)
if chat_id.startswith("local:"):
message_list = form_data.get("messages", [])
else:
chat = Chats.get_chat_by_id_and_user_id(chat_id, user.id)
await __event_emitter__(
{
"type": "status",
"data": {"description": "Creating image", "done": False},
}
)
messages_map = chat.chat.get("history", {}).get("messages", {})
message_id = chat.chat.get("history", {}).get("currentId")
message_list = get_message_list(messages_map, message_id)
user_message = get_last_user_message(message_list)
messages = form_data["messages"]
user_message = get_last_user_message(messages)
prompt = user_message
input_images = get_last_images(message_list)
negative_prompt = ""
if request.app.state.config.ENABLE_IMAGE_PROMPT_GENERATION:
try:
res = await generate_image_prompt(
request,
{
"model": form_data["model"],
"messages": messages,
},
user,
)
response = res["choices"][0]["message"]["content"]
try:
bracket_start = response.find("{")
bracket_end = response.rfind("}") + 1
if bracket_start == -1 or bracket_end == -1:
raise Exception("No JSON object found in the response")
response = response[bracket_start:bracket_end]
response = json.loads(response)
prompt = response.get("prompt", [])
except Exception as e:
prompt = user_message
except Exception as e:
log.exception(e)
prompt = user_message
system_message_content = ""
if len(input_images) > 0 and request.app.state.config.ENABLE_IMAGE_EDIT:
# Edit image(s)
try:
images = await image_edits(
request=request,
form_data=EditImageForm(**{"prompt": prompt, "image": input_images}),
user=user,
)
try:
images = await image_generations(
request=request,
form_data=GenerateImageForm(**{"prompt": prompt}),
user=user,
)
await __event_emitter__(
{
"type": "status",
"data": {"description": "Image created", "done": True},
}
)
await __event_emitter__(
{
"type": "status",
"data": {"description": "Image created", "done": True},
}
)
await __event_emitter__(
{
"type": "files",
"data": {
"files": [
{
"type": "image",
"url": image["url"],
}
for image in images
]
},
}
)
await __event_emitter__(
{
"type": "files",
"data": {
"files": [
{
"type": "image",
"url": image["url"],
}
for image in images
]
},
}
)
system_message_content = "<context>The requested image has been created and is now being shown to the user. Let them know that it has been generated.</context>"
except Exception as e:
log.debug(e)
system_message_content = "<context>User is shown the generated image, tell the user that the image has been generated</context>"
except Exception as e:
log.exception(e)
await __event_emitter__(
{
"type": "status",
"data": {
"description": f"An error occurred while generating an image",
"done": True,
},
}
)
error_message = ""
if isinstance(e, HTTPException):
if e.detail and isinstance(e.detail, dict):
error_message = e.detail.get("message", str(e.detail))
else:
error_message = str(e.detail)
await __event_emitter__(
{
"type": "status",
"data": {
"description": f"An error occurred while generating an image",
"done": True,
},
}
)
system_message_content = f"<context>Image generation was attempted but failed. The system is currently unable to generate the image. Tell the user that the following error occurred: {error_message}</context>"
else:
# Create image(s)
if request.app.state.config.ENABLE_IMAGE_PROMPT_GENERATION:
try:
res = await generate_image_prompt(
request,
{
"model": form_data["model"],
"messages": form_data["messages"],
},
user,
)
response = res["choices"][0]["message"]["content"]
try:
bracket_start = response.find("{")
bracket_end = response.rfind("}") + 1
if bracket_start == -1 or bracket_end == -1:
raise Exception("No JSON object found in the response")
response = response[bracket_start:bracket_end]
response = json.loads(response)
prompt = response.get("prompt", [])
except Exception as e:
prompt = user_message
except Exception as e:
log.exception(e)
prompt = user_message
try:
images = await image_generations(
request=request,
form_data=CreateImageForm(**{"prompt": prompt}),
user=user,
)
await __event_emitter__(
{
"type": "status",
"data": {"description": "Image created", "done": True},
}
)
await __event_emitter__(
{
"type": "files",
"data": {
"files": [
{
"type": "image",
"url": image["url"],
}
for image in images
]
},
}
)
system_message_content = "<context>The requested image has been created by the system successfully and is now being shown to the user. Let the user know that the image they requested has been generated and is now shown in the chat.</context>"
except Exception as e:
log.debug(e)
error_message = ""
if isinstance(e, HTTPException):
if e.detail and isinstance(e.detail, dict):
error_message = e.detail.get("message", str(e.detail))
else:
error_message = str(e.detail)
await __event_emitter__(
{
"type": "status",
"data": {
"description": f"An error occurred while generating an image",
"done": True,
},
}
)
system_message_content = f"<context>Image generation was attempted but failed because of an error. The system is currently unable to generate the image. Tell the user that the following error occurred: {error_message}</context>"
system_message_content = "<context>Unable to generate an image, tell the user that an error occurred</context>"
if system_message_content:
form_data["messages"] = add_or_update_system_message(
@ -985,32 +874,37 @@ async def chat_completion_files_handler(
queries = [get_last_user_message(body["messages"])]
try:
# Directly await async get_sources_from_items (no thread needed - fully async now)
sources = await get_sources_from_items(
request=request,
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=(
(
lambda query, documents: request.app.state.RERANKING_FUNCTION(
query, documents, 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=all_full_context
or request.app.state.config.RAG_FULL_CONTEXT,
user=user,
)
# 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_items(
request=request,
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=(
(
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=all_full_context
or request.app.state.config.RAG_FULL_CONTEXT,
user=user,
),
)
except Exception as e:
log.exception(e)
@ -1117,7 +1011,7 @@ async def process_chat_payload(request, form_data, user, metadata, model):
pass
event_emitter = get_event_emitter(metadata)
event_caller = get_event_call(metadata)
event_call = get_event_call(metadata)
oauth_token = None
try:
@ -1131,13 +1025,14 @@ async def process_chat_payload(request, form_data, user, metadata, model):
extra_params = {
"__event_emitter__": event_emitter,
"__event_call__": event_caller,
"__event_call__": event_call,
"__user__": user.model_dump() if isinstance(user, UserModel) else {},
"__metadata__": metadata,
"__oauth_token__": oauth_token,
"__request__": request,
"__model__": model,
"__oauth_token__": oauth_token,
}
# Initialize events to store additional event to be sent to the client
# Initialize contexts and citation
if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
@ -1248,18 +1143,6 @@ async def process_chat_payload(request, form_data, user, metadata, model):
features = form_data.pop("features", None)
if features:
if "voice" in features and features["voice"]:
if request.app.state.config.VOICE_MODE_PROMPT_TEMPLATE != None:
if request.app.state.config.VOICE_MODE_PROMPT_TEMPLATE != "":
template = request.app.state.config.VOICE_MODE_PROMPT_TEMPLATE
else:
template = DEFAULT_VOICE_MODE_PROMPT_TEMPLATE
form_data["messages"] = add_or_update_system_message(
template,
form_data["messages"],
)
if "memory" in features and features["memory"]:
form_data = await chat_memory_handler(
request, form_data, extra_params, user
@ -1354,6 +1237,7 @@ async def process_chat_payload(request, form_data, user, metadata, model):
continue
auth_type = mcp_server_connection.get("auth_type", "")
headers = {}
if auth_type == "bearer":
headers["Authorization"] = (
@ -1389,24 +1273,12 @@ async def process_chat_payload(request, form_data, user, metadata, model):
log.error(f"Error getting OAuth token: {e}")
oauth_token = None
connection_headers = mcp_server_connection.get("headers", None)
if connection_headers and isinstance(connection_headers, dict):
for key, value in connection_headers.items():
headers[key] = value
mcp_clients[server_id] = MCPClient()
await mcp_clients[server_id].connect(
url=mcp_server_connection.get("url", ""),
headers=headers if headers else None,
)
function_name_filter_list = mcp_server_connection.get(
"config", {}
).get("function_name_filter_list", "")
if isinstance(function_name_filter_list, str):
function_name_filter_list = function_name_filter_list.split(",")
tool_specs = await mcp_clients[server_id].list_tool_specs()
for tool_spec in tool_specs:
@ -1419,13 +1291,6 @@ async def process_chat_payload(request, form_data, user, metadata, model):
return tool_function
if function_name_filter_list:
if not is_string_allowed(
tool_spec["name"], function_name_filter_list
):
# Skip this function
continue
tool_function = make_tool_function(
mcp_clients[server_id], tool_spec["name"]
)
@ -1442,17 +1307,6 @@ async def process_chat_payload(request, form_data, user, metadata, model):
}
except Exception as e:
log.debug(e)
if event_emitter:
await event_emitter(
{
"type": "chat:message:error",
"data": {
"error": {
"content": f"Failed to connect to MCP server '{server_id}'"
}
},
}
)
continue
tools_dict = await get_tools(
@ -1466,7 +1320,6 @@ async def process_chat_payload(request, form_data, user, metadata, model):
"__files__": metadata.get("files", []),
},
)
if mcp_tools_dict:
tools_dict = {**tools_dict, **mcp_tools_dict}
@ -1690,13 +1543,16 @@ async def process_chat_response(
if not metadata.get("chat_id", "").startswith(
"local:"
): # Only update titles and tags for non-temp chats
if TASKS.TITLE_GENERATION in tasks:
if (
TASKS.TITLE_GENERATION in tasks
and tasks[TASKS.TITLE_GENERATION]
):
user_message = get_last_user_message(messages)
if user_message and len(user_message) > 100:
user_message = user_message[:100] + "..."
title = None
if tasks[TASKS.TITLE_GENERATION]:
res = await generate_title(
request,
{
@ -1747,8 +1603,7 @@ async def process_chat_response(
"data": title,
}
)
if title == None and len(messages) == 2:
elif len(messages) == 2:
title = messages[0].get("content", user_message)
Chats.update_chat_title_by_id(metadata["chat_id"], title)
@ -1906,7 +1761,7 @@ async def process_chat_response(
)
# Send a webhook notification if the user is not active
if not Users.is_user_active(user.id):
if not get_active_status_by_user_id(user.id):
webhook_url = Users.get_user_webhook_url_by_id(user.id)
if webhook_url:
await post_webhook(
@ -2084,11 +1939,9 @@ async def process_chat_response(
content = f"{content}{tool_calls_display_content}"
elif block["type"] == "reasoning":
reasoning_display_content = html.escape(
"\n".join(
(f"> {line}" if not line.startswith(">") else line)
for line in block["content"].splitlines()
)
reasoning_display_content = "\n".join(
(f"> {line}" if not line.startswith(">") else line)
for line in block["content"].splitlines()
)
reasoning_duration = block.get("duration", None)
@ -2496,9 +2349,7 @@ async def process_chat_response(
)
if data:
if "event" in data and not getattr(
request.state, "direct", False
):
if "event" in data:
await event_emitter(data.get("event", {}))
if "selected_model_id" in data:
@ -2606,26 +2457,6 @@ async def process_chat_response(
"arguments"
] += delta_arguments
image_urls = get_image_urls(
delta.get("images", []), request, metadata, user
)
if image_urls:
message_files = Chats.add_message_files_by_id_and_message_id(
metadata["chat_id"],
metadata["message_id"],
[
{"type": "image", "url": url}
for url in image_urls
],
)
await event_emitter(
{
"type": "files",
"data": {"files": message_files},
}
)
value = delta.get("content")
reasoning_content = (
@ -2684,11 +2515,6 @@ async def process_chat_response(
}
)
if ENABLE_CHAT_RESPONSE_BASE64_IMAGE_URL_CONVERSION:
value = convert_markdown_base64_images(
request, value, metadata, user
)
content = f"{content}{value}"
if not content_blocks:
content_blocks.append(
@ -2914,16 +2740,7 @@ async def process_chat_response(
)
else:
tool_function = get_updated_tool_function(
function=tool["callable"],
extra_params={
"__messages__": form_data.get(
"messages", []
),
"__files__": metadata.get("files", []),
},
)
tool_function = tool["callable"]
tool_result = await tool_function(
**tool_function_params
)
@ -3201,7 +3018,7 @@ async def process_chat_response(
)
# Send a webhook notification if the user is not active
if not Users.is_user_active(user.id):
if not get_active_status_by_user_id(user.id):
webhook_url = Users.get_user_webhook_url_by_id(user.id)
if webhook_url:
await post_webhook(

View file

@ -6,13 +6,12 @@ import uuid
import logging
from datetime import timedelta
from pathlib import Path
from typing import Callable, Optional, Sequence, Union
from typing import Callable, Optional
import json
import aiohttp
import collections.abc
from open_webui.env import SRC_LOG_LEVELS, CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE
from open_webui.env import SRC_LOG_LEVELS
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["MAIN"])
@ -27,49 +26,6 @@ def deep_update(d, u):
return d
def get_allow_block_lists(filter_list):
allow_list = []
block_list = []
if filter_list:
for d in filter_list:
if d.startswith("!"):
# Domains starting with "!" → blocked
block_list.append(d[1:].strip())
else:
# Domains starting without "!" → allowed
allow_list.append(d.strip())
return allow_list, block_list
def is_string_allowed(
string: Union[str, Sequence[str]], filter_list: Optional[list[str]] = None
) -> bool:
"""
Checks if a string is allowed based on the provided filter list.
:param string: The string or sequence of strings to check (e.g., domain or hostname).
:param filter_list: List of allowed/blocked strings. Strings starting with "!" are blocked.
:return: True if the string or sequence of strings is allowed, False otherwise.
"""
if not filter_list:
return True
allow_list, block_list = get_allow_block_lists(filter_list)
strings = [string] if isinstance(string, str) else list(string)
# If allow list is non-empty, require domain to match one of them
if allow_list:
if not any(s.endswith(allowed) for s in strings for allowed in allow_list):
return False
# Block list always removes matches
if any(s.endswith(blocked) for s in strings for blocked in block_list):
return False
return True
def get_message_list(messages_map, message_id):
"""
Reconstructs a list of messages in order up to the specified message_id.
@ -583,68 +539,3 @@ def extract_urls(text: str) -> list[str]:
r"(https?://[^\s]+)", re.IGNORECASE
) # Matches http and https URLs
return url_pattern.findall(text)
def stream_chunks_handler(stream: aiohttp.StreamReader):
"""
Handle stream response chunks, supporting large data chunks that exceed the original 16kb limit.
When a single line exceeds max_buffer_size, returns an empty JSON string {} and skips subsequent data
until encountering normally sized data.
:param stream: The stream reader to handle.
:return: An async generator that yields the stream data.
"""
max_buffer_size = CHAT_STREAM_RESPONSE_CHUNK_MAX_BUFFER_SIZE
if max_buffer_size is None or max_buffer_size <= 0:
return stream
async def yield_safe_stream_chunks():
buffer = b""
skip_mode = False
async for data, _ in stream.iter_chunks():
if not data:
continue
# In skip_mode, if buffer already exceeds the limit, clear it (it's part of an oversized line)
if skip_mode and len(buffer) > max_buffer_size:
buffer = b""
lines = (buffer + data).split(b"\n")
# Process complete lines (except the last possibly incomplete fragment)
for i in range(len(lines) - 1):
line = lines[i]
if skip_mode:
# Skip mode: check if current line is small enough to exit skip mode
if len(line) <= max_buffer_size:
skip_mode = False
yield line
else:
yield b"data: {}"
else:
# Normal mode: check if line exceeds limit
if len(line) > max_buffer_size:
skip_mode = True
yield b"data: {}"
log.info(f"Skip mode triggered, line size: {len(line)}")
else:
yield line
# Save the last incomplete fragment
buffer = lines[-1]
# Check if buffer exceeds limit
if not skip_mode and len(buffer) > max_buffer_size:
skip_mode = True
log.info(f"Skip mode triggered, buffer size: {len(buffer)}")
# Clear oversized buffer to prevent unlimited growth
buffer = b""
# Process remaining buffer data
if buffer and not skip_mode:
yield buffer
return yield_safe_stream_chunks()

View file

@ -6,14 +6,12 @@ import sys
from aiocache import cached
from fastapi import Request
from open_webui.socket.utils import RedisDict
from open_webui.routers import openai, ollama
from open_webui.functions import get_function_models
from open_webui.models.functions import Functions
from open_webui.models.models import Models
from open_webui.models.groups import Groups
from open_webui.utils.plugin import (
@ -168,18 +166,13 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
action_ids = []
filter_ids = []
if "info" in model:
if "meta" in model["info"]:
action_ids.extend(
model["info"]["meta"].get("actionIds", [])
)
filter_ids.extend(
model["info"]["meta"].get("filterIds", [])
)
if "params" in model["info"]:
# Remove params to avoid exposing sensitive info
del model["info"]["params"]
if "info" in model and "meta" in model["info"]:
action_ids.extend(
model["info"]["meta"].get("actionIds", [])
)
filter_ids.extend(
model["info"]["meta"].get("filterIds", [])
)
model["action_ids"] = action_ids
model["filter_ids"] = filter_ids
@ -189,45 +182,22 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
elif custom_model.is_active and (
custom_model.id not in [model["id"] for model in models]
):
# Custom model based on a base model
owned_by = "openai"
connection_type = None
pipe = None
for m in models:
if (
custom_model.base_model_id == m["id"]
or custom_model.base_model_id == m["id"].split(":")[0]
):
owned_by = m.get("owned_by", "unknown")
if "pipe" in m:
pipe = m["pipe"]
connection_type = m.get("connection_type", None)
break
model = {
"id": f"{custom_model.id}",
"name": custom_model.name,
"object": "model",
"created": custom_model.created_at,
"owned_by": owned_by,
"connection_type": connection_type,
"preset": True,
**({"pipe": pipe} if pipe is not None else {}),
}
info = custom_model.model_dump()
if "params" in info:
# Remove params to avoid exposing sensitive info
del info["params"]
model["info"] = info
action_ids = []
filter_ids = []
for model in models:
if (
custom_model.base_model_id == model["id"]
or custom_model.base_model_id == model["id"].split(":")[0]
):
owned_by = model.get("owned_by", "unknown owner")
if "pipe" in model:
pipe = model["pipe"]
break
if custom_model.meta:
meta = custom_model.meta.model_dump()
@ -237,10 +207,20 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
if "filterIds" in meta:
filter_ids.extend(meta["filterIds"])
model["action_ids"] = action_ids
model["filter_ids"] = filter_ids
models.append(model)
models.append(
{
"id": f"{custom_model.id}",
"name": custom_model.name,
"object": "model",
"created": custom_model.created_at,
"owned_by": owned_by,
"info": custom_model.model_dump(),
"preset": True,
**({"pipe": pipe} if pipe is not None else {}),
"action_ids": action_ids,
"filter_ids": filter_ids,
}
)
# Process action_ids to get the actions
def get_action_items_from_module(function, module):
@ -329,12 +309,7 @@ async def get_all_models(request, refresh: bool = False, user: UserModel = None)
log.debug(f"get_all_models() returned {len(models)} models")
models_dict = {model["id"]: model for model in models}
if isinstance(request.app.state.MODELS, RedisDict):
request.app.state.MODELS.set(models_dict)
else:
request.app.state.MODELS = models_dict
request.app.state.MODELS = {model["id"]: model for model in models}
return models
@ -368,7 +343,6 @@ def get_filtered_models(models, user):
or (user.role == "admin" and not BYPASS_ADMIN_ACCESS_CONTROL)
) and not BYPASS_MODEL_ACCESS_CONTROL:
filtered_models = []
user_group_ids = {group.id for group in Groups.get_groups_by_member_id(user.id)}
for model in models:
if model.get("arena"):
if has_access(
@ -377,7 +351,6 @@ def get_filtered_models(models, user):
access_control=model.get("info", {})
.get("meta", {})
.get("access_control", {}),
user_group_ids=user_group_ids,
):
filtered_models.append(model)
continue
@ -391,7 +364,6 @@ def get_filtered_models(models, user):
user.id,
type="read",
access_control=model_info.access_control,
user_group_ids=user_group_ids,
)
):
filtered_models.append(model)

View file

@ -1,5 +1,4 @@
import base64
import copy
import hashlib
import logging
import mimetypes
@ -14,7 +13,7 @@ import fnmatch
import time
import secrets
from cryptography.fernet import Fernet
from typing import Literal
import aiohttp
from authlib.integrations.starlette_client import OAuth
@ -42,8 +41,6 @@ from open_webui.config import (
ENABLE_OAUTH_GROUP_MANAGEMENT,
ENABLE_OAUTH_GROUP_CREATION,
OAUTH_BLOCKED_GROUPS,
OAUTH_GROUPS_SEPARATOR,
OAUTH_ROLES_SEPARATOR,
OAUTH_ROLES_CLAIM,
OAUTH_SUB_CLAIM,
OAUTH_GROUPS_CLAIM,
@ -54,7 +51,6 @@ from open_webui.config import (
OAUTH_ADMIN_ROLES,
OAUTH_ALLOWED_DOMAINS,
OAUTH_UPDATE_PICTURE_ON_LOGIN,
OAUTH_ACCESS_TOKEN_REQUEST_INCLUDE_CLIENT_ID,
WEBHOOK_URL,
JWT_EXPIRES_IN,
AppConfig,
@ -72,22 +68,12 @@ from open_webui.env import (
from open_webui.utils.misc import parse_duration
from open_webui.utils.auth import get_password_hash, create_token
from open_webui.utils.webhook import post_webhook
from open_webui.utils.groups import apply_default_group_assignment
from mcp.shared.auth import (
OAuthClientMetadata as MCPOAuthClientMetadata,
OAuthClientMetadata,
OAuthMetadata,
)
from authlib.oauth2.rfc6749.errors import OAuth2Error
class OAuthClientMetadata(MCPOAuthClientMetadata):
token_endpoint_auth_method: Literal[
"none", "client_secret_basic", "client_secret_post"
] = "client_secret_post"
pass
class OAuthClientInformationFull(OAuthClientMetadata):
issuer: Optional[str] = None # URL of the OAuth server that issued this client
@ -164,37 +150,6 @@ def decrypt_data(data: str):
raise
def _build_oauth_callback_error_message(e: Exception) -> str:
"""
Produce a user-facing callback error string with actionable context.
Keeps the message short and strips newlines for safe redirect usage.
"""
if isinstance(e, OAuth2Error):
parts = [p for p in [e.error, e.description] if p]
detail = " - ".join(parts)
elif isinstance(e, HTTPException):
detail = e.detail if isinstance(e.detail, str) else str(e.detail)
elif isinstance(e, aiohttp.ClientResponseError):
detail = f"Upstream provider returned {e.status}: {e.message}"
elif isinstance(e, aiohttp.ClientError):
detail = str(e)
elif isinstance(e, KeyError):
missing = str(e).strip("'")
if missing.lower() == "state":
detail = "Missing state parameter in callback (session may have expired)"
else:
detail = f"Missing expected key '{missing}' in OAuth response"
else:
detail = str(e)
detail = detail.replace("\n", " ").strip()
if not detail:
detail = e.__class__.__name__
message = f"OAuth callback failed: {detail}"
return message[:197] + "..." if len(message) > 200 else message
def is_in_blocked_groups(group_name: str, groups: list) -> bool:
"""
Check if a group name matches any blocked pattern.
@ -248,32 +203,23 @@ def get_parsed_and_base_url(server_url) -> tuple[urllib.parse.ParseResult, str]:
def get_discovery_urls(server_url) -> list[str]:
parsed, base_url = get_parsed_and_base_url(server_url)
urls = []
urls = [
urllib.parse.urljoin(base_url, "/.well-known/oauth-authorization-server"),
urllib.parse.urljoin(base_url, "/.well-known/openid-configuration"),
]
if parsed.path and parsed.path != "/":
# Generate discovery URLs based on https://modelcontextprotocol.io/specification/draft/basic/authorization#authorization-server-metadata-discovery
tenant = parsed.path.rstrip("/")
urls.extend(
[
urllib.parse.urljoin(
base_url,
f"/.well-known/oauth-authorization-server{tenant}",
),
urllib.parse.urljoin(
base_url, f"/.well-known/openid-configuration{tenant}"
),
urllib.parse.urljoin(
base_url, f"{tenant}/.well-known/openid-configuration"
),
]
urls.append(
urllib.parse.urljoin(
base_url,
f"/.well-known/oauth-authorization-server{parsed.path.rstrip('/')}",
)
)
urls.append(
urllib.parse.urljoin(
base_url, f"/.well-known/openid-configuration{parsed.path.rstrip('/')}"
)
)
urls.extend(
[
urllib.parse.urljoin(base_url, "/.well-known/oauth-authorization-server"),
urllib.parse.urljoin(base_url, "/.well-known/openid-configuration"),
]
)
return urls
@ -299,12 +245,13 @@ async def get_oauth_client_info_with_dynamic_client_registration(
redirect_uris=[f"{redirect_base_url}/oauth/clients/{client_id}/callback"],
grant_types=["authorization_code", "refresh_token"],
response_types=["code"],
token_endpoint_auth_method="client_secret_post",
)
# Attempt to fetch OAuth server metadata to get registration endpoint & scopes
discovery_urls = get_discovery_urls(oauth_server_url)
for url in discovery_urls:
async with aiohttp.ClientSession(trust_env=True) as session:
async with aiohttp.ClientSession() as session:
async with session.get(
url, ssl=AIOHTTP_CLIENT_SESSION_SSL
) as oauth_server_metadata_response:
@ -321,17 +268,6 @@ async def get_oauth_client_info_with_dynamic_client_registration(
oauth_client_metadata.scope = " ".join(
oauth_server_metadata.scopes_supported
)
if (
oauth_server_metadata.token_endpoint_auth_methods_supported
and oauth_client_metadata.token_endpoint_auth_method
not in oauth_server_metadata.token_endpoint_auth_methods_supported
):
# Pick the first supported method from the server
oauth_client_metadata.token_endpoint_auth_method = oauth_server_metadata.token_endpoint_auth_methods_supported[
0
]
break
except Exception as e:
log.error(f"Error parsing OAuth metadata from {url}: {e}")
@ -351,7 +287,7 @@ async def get_oauth_client_info_with_dynamic_client_registration(
)
# Perform dynamic client registration and return client info
async with aiohttp.ClientSession(trust_env=True) as session:
async with aiohttp.ClientSession() as session:
async with session.post(
registration_url, json=registration_data, ssl=AIOHTTP_CLIENT_SESSION_SSL
) as oauth_client_registration_response:
@ -359,13 +295,6 @@ async def get_oauth_client_info_with_dynamic_client_registration(
registration_response_json = (
await oauth_client_registration_response.json()
)
# The mcp package requires optional unset values to be None. If an empty string is passed, it gets validated and fails.
# This replaces all empty strings with None.
registration_response_json = {
k: (None if v == "" else v)
for k, v in registration_response_json.items()
}
oauth_client_info = OAuthClientInformationFull.model_validate(
{
**registration_response_json,
@ -410,20 +339,9 @@ class OAuthClientManager:
"name": client_id,
"client_id": oauth_client_info.client_id,
"client_secret": oauth_client_info.client_secret,
"client_kwargs": {
**(
{"scope": oauth_client_info.scope}
if oauth_client_info.scope
else {}
),
**(
{
"token_endpoint_auth_method": oauth_client_info.token_endpoint_auth_method
}
if oauth_client_info.token_endpoint_auth_method
else {}
),
},
"client_kwargs": (
{"scope": oauth_client_info.scope} if oauth_client_info.scope else {}
),
"server_metadata_url": (
oauth_client_info.issuer if oauth_client_info.issuer else None
),
@ -453,82 +371,6 @@ class OAuthClientManager:
if client_id in self.clients:
del self.clients[client_id]
log.info(f"Removed OAuth client {client_id}")
if hasattr(self.oauth, "_clients"):
if client_id in self.oauth._clients:
self.oauth._clients.pop(client_id, None)
if hasattr(self.oauth, "_registry"):
if client_id in self.oauth._registry:
self.oauth._registry.pop(client_id, None)
return True
async def _preflight_authorization_url(
self, client, client_info: OAuthClientInformationFull
) -> bool:
# TODO: Replace this logic with a more robust OAuth client registration validation
# Only perform preflight checks for Starlette OAuth clients
if not hasattr(client, "create_authorization_url"):
return True
redirect_uri = None
if client_info.redirect_uris:
redirect_uri = str(client_info.redirect_uris[0])
try:
auth_data = await client.create_authorization_url(redirect_uri=redirect_uri)
authorization_url = auth_data.get("url")
if not authorization_url:
return True
except Exception as e:
log.debug(
f"Skipping OAuth preflight for client {client_info.client_id}: {e}",
)
return True
try:
async with aiohttp.ClientSession(trust_env=True) as session:
async with session.get(
authorization_url,
allow_redirects=False,
ssl=AIOHTTP_CLIENT_SESSION_SSL,
) as resp:
if resp.status < 400:
return True
response_text = await resp.text()
error = None
error_description = ""
content_type = resp.headers.get("content-type", "")
if "application/json" in content_type:
try:
payload = json.loads(response_text)
error = payload.get("error")
error_description = payload.get("error_description", "")
except:
pass
else:
error_description = response_text
error_message = f"{error or ''} {error_description or ''}".lower()
if any(
keyword in error_message
for keyword in ("invalid_client", "invalid client", "client id")
):
log.warning(
f"OAuth client preflight detected invalid registration for {client_info.client_id}: {error} {error_description}"
)
return False
except Exception as e:
log.debug(
f"Skipping OAuth preflight network check for client {client_info.client_id}: {e}"
)
return True
def get_client(self, client_id):
@ -719,6 +561,7 @@ class OAuthClientManager:
client = self.get_client(client_id)
if client is None:
raise HTTPException(404)
client_info = self.get_client_info(client_id)
if client_info is None:
raise HTTPException(404)
@ -726,8 +569,7 @@ class OAuthClientManager:
redirect_uri = (
client_info.redirect_uris[0] if client_info.redirect_uris else None
)
redirect_uri_str = str(redirect_uri) if redirect_uri else None
return await client.authorize_redirect(request, redirect_uri_str)
return await client.authorize_redirect(request, str(redirect_uri))
async def handle_callback(self, request, client_id: str, user_id: str, response):
client = self.get_client(client_id)
@ -737,17 +579,16 @@ class OAuthClientManager:
error_message = None
try:
client_info = self.get_client_info(client_id)
auth_params = {}
token_params = {}
if (
client_info
and hasattr(client_info, "client_id")
and hasattr(client_info, "client_secret")
):
auth_params["client_id"] = client_info.client_id
auth_params["client_secret"] = client_info.client_secret
token_params["client_id"] = client_info.client_id
token_params["client_secret"] = client_info.client_secret
token = await client.authorize_access_token(request, **auth_params)
token = await client.authorize_access_token(request, **token_params)
if token:
try:
# Add timestamp for tracking
@ -780,14 +621,8 @@ class OAuthClientManager:
error_message = "Failed to obtain OAuth token"
log.warning(error_message)
except Exception as e:
error_message = _build_oauth_callback_error_message(e)
log.warning(
"OAuth callback error for user_id=%s client_id=%s: %s",
user_id,
client_id,
error_message,
exc_info=True,
)
error_message = "OAuth callback error"
log.warning(f"OAuth callback error: {e}")
redirect_url = (
str(request.app.state.config.WEBUI_URL or request.base_url)
@ -795,9 +630,7 @@ class OAuthClientManager:
if error_message:
log.debug(error_message)
redirect_url = (
f"{redirect_url}/?error={urllib.parse.quote_plus(error_message)}"
)
redirect_url = f"{redirect_url}/?error={error_message}"
return RedirectResponse(url=redirect_url, headers=response.headers)
response = RedirectResponse(url=redirect_url, headers=response.headers)
@ -1026,21 +859,11 @@ class OAuthManager:
for nested_claim in nested_claims:
claim_data = claim_data.get(nested_claim, {})
# Try flat claim structure as alternative
if not claim_data:
claim_data = user_data.get(oauth_claim, {})
oauth_roles = []
if isinstance(claim_data, list):
oauth_roles = claim_data
elif isinstance(claim_data, str):
# Split by the configured separator if present
if OAUTH_ROLES_SEPARATOR and OAUTH_ROLES_SEPARATOR in claim_data:
oauth_roles = claim_data.split(OAUTH_ROLES_SEPARATOR)
else:
oauth_roles = [claim_data]
elif isinstance(claim_data, int):
if isinstance(claim_data, str) or isinstance(claim_data, int):
oauth_roles = [str(claim_data)]
log.debug(f"Oauth Roles claim: {oauth_claim}")
@ -1094,16 +917,12 @@ class OAuthManager:
if isinstance(claim_data, list):
user_oauth_groups = claim_data
elif isinstance(claim_data, str):
# Split by the configured separator if present
if OAUTH_GROUPS_SEPARATOR in claim_data:
user_oauth_groups = claim_data.split(OAUTH_GROUPS_SEPARATOR)
else:
user_oauth_groups = [claim_data]
user_oauth_groups = [claim_data]
else:
user_oauth_groups = []
user_current_groups: list[GroupModel] = Groups.get_groups_by_member_id(user.id)
all_available_groups: list[GroupModel] = Groups.get_all_groups()
all_available_groups: list[GroupModel] = Groups.get_groups()
# Create groups if they don't exist and creation is enabled
if auth_manager_config.ENABLE_OAUTH_GROUP_CREATION:
@ -1147,7 +966,7 @@ class OAuthManager:
# Refresh the list of all available groups if any were created
if groups_created:
all_available_groups = Groups.get_all_groups()
all_available_groups = Groups.get_groups()
log.debug("Refreshed list of all available groups after creation.")
log.debug(f"Oauth Groups claim: {oauth_claim}")
@ -1168,21 +987,23 @@ class OAuthManager:
log.debug(
f"Removing user from group {group_model.name} as it is no longer in their oauth groups"
)
Groups.remove_users_from_group(group_model.id, [user.id])
user_ids = group_model.user_ids
user_ids = [i for i in user_ids if i != user.id]
# In case a group is created, but perms are never assigned to the group by hitting "save"
group_permissions = group_model.permissions
if not group_permissions:
group_permissions = default_permissions
update_form = GroupUpdateForm(
name=group_model.name,
description=group_model.description,
permissions=group_permissions,
user_ids=user_ids,
)
Groups.update_group_by_id(
id=group_model.id,
form_data=GroupUpdateForm(
name=group_model.name,
description=group_model.description,
permissions=group_permissions,
),
overwrite=False,
id=group_model.id, form_data=update_form, overwrite=False
)
# Add user to new groups
@ -1198,21 +1019,22 @@ class OAuthManager:
f"Adding user to group {group_model.name} as it was found in their oauth groups"
)
Groups.add_users_to_group(group_model.id, [user.id])
user_ids = group_model.user_ids
user_ids.append(user.id)
# In case a group is created, but perms are never assigned to the group by hitting "save"
group_permissions = group_model.permissions
if not group_permissions:
group_permissions = default_permissions
update_form = GroupUpdateForm(
name=group_model.name,
description=group_model.description,
permissions=group_permissions,
user_ids=user_ids,
)
Groups.update_group_by_id(
id=group_model.id,
form_data=GroupUpdateForm(
name=group_model.name,
description=group_model.description,
permissions=group_permissions,
),
overwrite=False,
id=group_model.id, form_data=update_form, overwrite=False
)
async def _process_picture_url(
@ -1279,26 +1101,10 @@ class OAuthManager:
error_message = None
try:
client = self.get_client(provider)
auth_params = {}
if client:
if (
hasattr(client, "client_id")
and OAUTH_ACCESS_TOKEN_REQUEST_INCLUDE_CLIENT_ID
):
auth_params["client_id"] = client.client_id
try:
token = await client.authorize_access_token(request, **auth_params)
token = await client.authorize_access_token(request)
except Exception as e:
detailed_error = _build_oauth_callback_error_message(e)
log.warning(
"OAuth callback error during authorize_access_token for provider %s: %s",
provider,
detailed_error,
exc_info=True,
)
log.warning(f"OAuth callback error: {e}")
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
# Try to get userinfo from the token first, some providers include it there
@ -1329,10 +1135,7 @@ class OAuthManager:
log.warning(f"OAuth callback failed, sub is missing: {user_data}")
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
oauth_data = {}
oauth_data[provider] = {
"sub": sub,
}
provider_sub = f"{provider}@{sub}"
# Email extraction
email_claim = auth_manager_config.OAUTH_EMAIL_CLAIM
@ -1379,12 +1182,12 @@ class OAuthManager:
log.warning(f"Error fetching GitHub email: {e}")
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
elif ENABLE_OAUTH_EMAIL_FALLBACK:
email = f"{provider}@{sub}.local"
email = f"{provider_sub}.local"
else:
log.warning(f"OAuth callback failed, email is missing: {user_data}")
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
email = email.lower()
# If allowed domains are configured, check if the email domain is in the list
if (
"*" not in auth_manager_config.OAUTH_ALLOWED_DOMAINS
@ -1397,7 +1200,7 @@ class OAuthManager:
raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
# Check if the user exists
user = Users.get_user_by_oauth_sub(provider, sub)
user = Users.get_user_by_oauth_sub(provider_sub)
if not user:
# If the user does not exist, check if merging is enabled
if auth_manager_config.OAUTH_MERGE_ACCOUNTS_BY_EMAIL:
@ -1405,15 +1208,12 @@ class OAuthManager:
user = Users.get_user_by_email(email)
if user:
# Update the user with the new oauth sub
Users.update_user_oauth_by_id(user.id, provider, sub)
Users.update_user_oauth_sub_by_id(user.id, provider_sub)
if user:
determined_role = self.get_user_role(user, user_data)
if user.role != determined_role:
Users.update_user_role_by_id(user.id, determined_role)
# Update the user object in memory as well,
# to avoid problems with the ENABLE_OAUTH_GROUP_MANAGEMENT check below
user.role = determined_role
# Update profile picture if enabled and different from current
if auth_manager_config.OAUTH_UPDATE_PICTURE_ON_LOGIN:
picture_claim = auth_manager_config.OAUTH_PICTURE_CLAIM
@ -1464,7 +1264,7 @@ class OAuthManager:
name=name,
profile_image_url=picture_url,
role=self.get_user_role(None, user_data),
oauth=oauth_data,
oauth_sub=provider_sub,
)
if auth_manager_config.WEBHOOK_URL:
@ -1478,12 +1278,6 @@ class OAuthManager:
"user": user.model_dump_json(exclude_none=True),
},
)
apply_default_group_assignment(
request.app.state.config.DEFAULT_GROUP_ID,
user.id,
)
else:
raise HTTPException(
status.HTTP_403_FORBIDDEN,

View file

@ -297,10 +297,6 @@ def convert_payload_openai_to_ollama(openai_payload: dict) -> dict:
if "tools" in openai_payload:
ollama_payload["tools"] = openai_payload["tools"]
if "max_tokens" in openai_payload:
ollama_payload["num_predict"] = openai_payload["max_tokens"]
del openai_payload["max_tokens"]
# If there are advanced parameters in the payload, format them in Ollama's options field
if openai_payload.get("options"):
ollama_payload["options"] = openai_payload["options"]

View file

@ -1,139 +0,0 @@
import time
from typing import Optional, Dict
from open_webui.env import REDIS_KEY_PREFIX
class RateLimiter:
"""
General-purpose rate limiter using Redis with a rolling window strategy.
Falls back to in-memory storage if Redis is not available.
"""
# In-memory fallback storage
_memory_store: Dict[str, Dict[int, int]] = {}
def __init__(
self,
redis_client,
limit: int,
window: int,
bucket_size: int = 60,
enabled: bool = True,
):
"""
:param redis_client: Redis client instance or None
:param limit: Max allowed events in the window
:param window: Time window in seconds
:param bucket_size: Bucket resolution
:param enabled: Turn on/off rate limiting globally
"""
self.r = redis_client
self.limit = limit
self.window = window
self.bucket_size = bucket_size
self.num_buckets = window // bucket_size
self.enabled = enabled
def _bucket_key(self, key: str, bucket_index: int) -> str:
return f"{REDIS_KEY_PREFIX}:ratelimit:{key.lower()}:{bucket_index}"
def _current_bucket(self) -> int:
return int(time.time()) // self.bucket_size
def _redis_available(self) -> bool:
return self.r is not None
def is_limited(self, key: str) -> bool:
"""
Main rate-limit check.
Gracefully handles missing or failing Redis.
"""
if not self.enabled:
return False
if self._redis_available():
try:
return self._is_limited_redis(key)
except Exception:
return self._is_limited_memory(key)
else:
return self._is_limited_memory(key)
def get_count(self, key: str) -> int:
if not self.enabled:
return 0
if self._redis_available():
try:
return self._get_count_redis(key)
except Exception:
return self._get_count_memory(key)
else:
return self._get_count_memory(key)
def remaining(self, key: str) -> int:
used = self.get_count(key)
return max(0, self.limit - used)
def _is_limited_redis(self, key: str) -> bool:
now_bucket = self._current_bucket()
bucket_key = self._bucket_key(key, now_bucket)
attempts = self.r.incr(bucket_key)
if attempts == 1:
self.r.expire(bucket_key, self.window + self.bucket_size)
# Collect buckets
buckets = [
self._bucket_key(key, now_bucket - i) for i in range(self.num_buckets + 1)
]
counts = self.r.mget(buckets)
total = sum(int(c) for c in counts if c)
return total > self.limit
def _get_count_redis(self, key: str) -> int:
now_bucket = self._current_bucket()
buckets = [
self._bucket_key(key, now_bucket - i) for i in range(self.num_buckets + 1)
]
counts = self.r.mget(buckets)
return sum(int(c) for c in counts if c)
def _is_limited_memory(self, key: str) -> bool:
now_bucket = self._current_bucket()
# Init storage
if key not in self._memory_store:
self._memory_store[key] = {}
store = self._memory_store[key]
# Increment bucket
store[now_bucket] = store.get(now_bucket, 0) + 1
# Drop expired buckets
min_bucket = now_bucket - self.num_buckets
expired = [b for b in store if b < min_bucket]
for b in expired:
del store[b]
# Count totals
total = sum(store.values())
return total > self.limit
def _get_count_memory(self, key: str) -> int:
now_bucket = self._current_bucket()
if key not in self._memory_store:
return 0
store = self._memory_store[key]
min_bucket = now_bucket - self.num_buckets
# Remove expired
expired = [b for b in store if b < min_bucket]
for b in expired:
del store[b]
return sum(store.values())

View file

@ -5,13 +5,7 @@ import logging
import redis
from open_webui.env import (
REDIS_CLUSTER,
REDIS_SENTINEL_HOSTS,
REDIS_SENTINEL_MAX_RETRY_COUNT,
REDIS_SENTINEL_PORT,
REDIS_URL,
)
from open_webui.env import REDIS_SENTINEL_MAX_RETRY_COUNT
log = logging.getLogger(__name__)
@ -114,21 +108,6 @@ def parse_redis_service_url(redis_url):
}
def get_redis_client(async_mode=False):
try:
return get_redis_connection(
redis_url=REDIS_URL,
redis_sentinels=get_sentinels_from_env(
REDIS_SENTINEL_HOSTS, REDIS_SENTINEL_PORT
),
redis_cluster=REDIS_CLUSTER,
async_mode=async_mode,
)
except Exception as e:
log.debug(f"Failed to get Redis client: {e}")
return None
def get_redis_connection(
redis_url,
redis_sentinels,

View file

@ -208,21 +208,20 @@ def rag_template(template: str, context: str, query: str):
if "[query]" in context:
query_placeholder = "{{QUERY" + str(uuid.uuid4()) + "}}"
template = template.replace("[query]", query_placeholder)
query_placeholders.append((query_placeholder, "[query]"))
query_placeholders.append(query_placeholder)
if "{{QUERY}}" in context:
query_placeholder = "{{QUERY" + str(uuid.uuid4()) + "}}"
template = template.replace("{{QUERY}}", query_placeholder)
query_placeholders.append((query_placeholder, "{{QUERY}}"))
query_placeholders.append(query_placeholder)
template = template.replace("[context]", context)
template = template.replace("{{CONTEXT}}", context)
template = template.replace("[query]", query)
template = template.replace("{{QUERY}}", query)
for query_placeholder, original_placeholder in query_placeholders:
template = template.replace(query_placeholder, original_placeholder)
for query_placeholder in query_placeholders:
template = template.replace(query_placeholder, query)
return template

View file

@ -45,6 +45,7 @@ from open_webui.env import (
OTEL_METRICS_OTLP_SPAN_EXPORTER,
OTEL_METRICS_EXPORTER_OTLP_INSECURE,
)
from open_webui.socket.main import get_active_user_ids
from open_webui.models.users import Users
_EXPORT_INTERVAL_MILLIS = 10_000 # 10 seconds
@ -98,9 +99,6 @@ def _build_meter_provider(resource: Resource) -> MeterProvider:
View(
instrument_name="webui.users.active",
),
View(
instrument_name="webui.users.active.today",
),
]
provider = MeterProvider(
@ -134,7 +132,7 @@ def setup_metrics(app: FastAPI, resource: Resource) -> None:
) -> Sequence[metrics.Observation]:
return [
metrics.Observation(
value=Users.get_active_user_count(),
value=len(get_active_user_ids()),
)
]
@ -161,18 +159,6 @@ def setup_metrics(app: FastAPI, resource: Resource) -> None:
callbacks=[observe_active_users],
)
def observe_users_active_today(
options: metrics.CallbackOptions,
) -> Sequence[metrics.Observation]:
return [metrics.Observation(value=Users.get_num_users_active_today())]
meter.create_observable_gauge(
name="webui.users.active.today",
description="Number of users active since midnight today",
unit="users",
callbacks=[observe_users_active_today],
)
# FastAPI middleware
@app.middleware("http")
async def _metrics_middleware(request: Request, call_next):

View file

@ -34,7 +34,6 @@ from langchain_core.utils.function_calling import (
)
from open_webui.utils.misc import is_string_allowed
from open_webui.models.tools import Tools
from open_webui.models.users import UserModel
from open_webui.utils.plugin import load_tool_module_by_id
@ -86,26 +85,9 @@ def get_async_tool_function_and_apply_extra_params(
update_wrapper(new_function, function)
new_function.__signature__ = new_sig
new_function.__function__ = function # type: ignore
new_function.__extra_params__ = extra_params # type: ignore
return new_function
def get_updated_tool_function(function: Callable, extra_params: dict):
# Get the original function and merge updated params
__function__ = getattr(function, "__function__", None)
__extra_params__ = getattr(function, "__extra_params__", None)
if __function__ is not None and __extra_params__ is not None:
return get_async_tool_function_and_apply_extra_params(
__function__,
{**__extra_params__, **extra_params},
)
return function
async def get_tools(
request: Request, tool_ids: list[str], user: UserModel, extra_params: dict
) -> dict[str, dict]:
@ -150,28 +132,13 @@ async def get_tools(
)
specs = tool_server_data.get("specs", [])
function_name_filter_list = tool_server_connection.get(
"config", {}
).get("function_name_filter_list", "")
if isinstance(function_name_filter_list, str):
function_name_filter_list = function_name_filter_list.split(",")
for spec in specs:
function_name = spec["name"]
if function_name_filter_list:
if not is_string_allowed(
function_name, function_name_filter_list
):
# Skip this function
continue
auth_type = tool_server_connection.get("auth_type", "bearer")
cookies = {}
headers = {
"Content-Type": "application/json",
}
headers = {}
if auth_type == "bearer":
headers["Authorization"] = (
@ -193,10 +160,7 @@ async def get_tools(
f"Bearer {oauth_token.get('access_token', '')}"
)
connection_headers = tool_server_connection.get("headers", None)
if connection_headers and isinstance(connection_headers, dict):
for key, value in connection_headers.items():
headers[key] = value
headers["Content-Type"] = "application/json"
def make_tool_function(
function_name, tool_server_data, headers
@ -251,16 +215,14 @@ async def get_tools(
module, _ = load_tool_module_by_id(tool_id)
request.app.state.TOOLS[tool_id] = module
__user__ = {
**extra_params["__user__"],
}
extra_params["__id__"] = tool_id
# Set valves for the tool
if hasattr(module, "valves") and hasattr(module, "Valves"):
valves = Tools.get_tool_valves_by_id(tool_id) or {}
module.valves = module.Valves(**valves)
if hasattr(module, "UserValves"):
__user__["valves"] = module.UserValves( # type: ignore
extra_params["__user__"]["valves"] = module.UserValves( # type: ignore
**Tools.get_user_valves_by_id_and_user_id(tool_id, user.id)
)
@ -282,12 +244,7 @@ async def get_tools(
function_name = spec["name"]
tool_function = getattr(module, function_name)
callable = get_async_tool_function_and_apply_extra_params(
tool_function,
{
**extra_params,
"__id__": tool_id,
"__user__": __user__,
},
tool_function, extra_params
)
# TODO: Support Pydantic models as parameters
@ -587,21 +544,20 @@ async def get_tool_servers(request: Request):
return tool_servers
async def get_tool_server_data(url: str, headers: Optional[dict]) -> Dict[str, Any]:
_headers = {
async def get_tool_server_data(token: str, url: str) -> Dict[str, Any]:
headers = {
"Accept": "application/json",
"Content-Type": "application/json",
}
if headers:
_headers.update(headers)
if token:
headers["Authorization"] = f"Bearer {token}"
error = None
try:
timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_TOOL_SERVER_DATA)
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
async with session.get(
url, headers=_headers, ssl=AIOHTTP_CLIENT_SESSION_TOOL_SERVER_SSL
url, headers=headers, ssl=AIOHTTP_CLIENT_SESSION_TOOL_SERVER_SSL
) as response:
if response.status != 200:
error_body = await response.json()
@ -671,10 +627,7 @@ async def get_tool_servers_data(servers: List[Dict[str, Any]]) -> List[Dict[str,
openapi_path = server.get("path", "openapi.json")
spec_url = get_tool_server_url(server_url, openapi_path)
# Fetch from URL
task = get_tool_server_data(
spec_url,
{"Authorization": f"Bearer {token}"} if token else None,
)
task = get_tool_server_data(token, spec_url)
elif spec_type == "json" and server.get("spec", ""):
# Use provided JSON spec
spec_json = None

View file

@ -51,7 +51,7 @@ async def post_webhook(name: str, url: str, message: str, event_data: dict) -> b
payload = {**event_data}
log.debug(f"payload: {payload}")
async with aiohttp.ClientSession(trust_env=True) as session:
async with aiohttp.ClientSession() as session:
async with session.post(url, json=payload) as r:
r_text = await r.text()
r.raise_for_status()

View file

@ -1,51 +0,0 @@
# Minimal requirements for backend to run
# WIP: use this as a reference to build a minimal docker image
fastapi==0.123.0
uvicorn[standard]==0.37.0
pydantic==2.12.5
python-multipart==0.0.20
itsdangerous==2.2.0
python-socketio==5.15.0
python-jose==3.5.0
cryptography
bcrypt==5.0.0
argon2-cffi==25.1.0
PyJWT[crypto]==2.10.1
authlib==1.6.5
requests==2.32.5
aiohttp==3.12.15
async-timeout
aiocache
aiofiles
starlette-compress==1.6.1
httpx[socks,http2,zstd,cli,brotli]==0.28.1
starsessions[redis]==2.2.1
sqlalchemy==2.0.38
alembic==1.17.2
peewee==3.18.3
peewee-migrate==1.14.3
pycrdt==0.12.25
redis
APScheduler==3.10.4
RestrictedPython==8.0
loguru==0.7.3
asgiref==3.11.0
mcp==1.22.0
openai
langchain==0.3.27
langchain-community==0.3.29
fake-useragent==2.2.0
chromadb==1.1.0
black==25.11.0
pydub
chardet==5.2.0

View file

@ -1,11 +1,11 @@
fastapi==0.123.0
fastapi==0.118.0
uvicorn[standard]==0.37.0
pydantic==2.12.5
pydantic==2.11.9
python-multipart==0.0.20
itsdangerous==2.2.0
python-socketio==5.15.0
python-jose==3.5.0
python-socketio==5.13.0
python-jose==3.4.0
cryptography
bcrypt==5.0.0
argon2-cffi==25.1.0
@ -17,14 +17,14 @@ aiohttp==3.12.15
async-timeout
aiocache
aiofiles
starlette-compress==1.6.1
starlette-compress==1.6.0
httpx[socks,http2,zstd,cli,brotli]==0.28.1
starsessions[redis]==2.2.1
sqlalchemy==2.0.38
alembic==1.17.2
peewee==3.18.3
peewee-migrate==1.14.3
alembic==1.14.0
peewee==3.18.1
peewee-migrate==1.12.2
pycrdt==0.12.25
redis
@ -33,15 +33,15 @@ APScheduler==3.10.4
RestrictedPython==8.0
loguru==0.7.3
asgiref==3.11.0
asgiref==3.8.1
# AI libraries
tiktoken
mcp==1.22.0
mcp==1.14.1
openai
anthropic
google-genai==1.52.0
google-genai==1.38.0
google-generativeai==0.8.5
langchain==0.3.27
@ -49,27 +49,24 @@ langchain-community==0.3.29
fake-useragent==2.2.0
chromadb==1.1.0
weaviate-client==4.17.0
opensearch-py==2.8.0
transformers==4.57.3
sentence-transformers==5.1.2
transformers
sentence-transformers==5.1.1
accelerate
pyarrow==20.0.0 # fix: pin pyarrow version to 20 for rpi compatibility #15897
einops==0.8.1
ftfy==6.3.1
chardet==5.2.0
pypdf==6.4.0
ftfy==6.2.3
pypdf==6.0.0
fpdf2==2.8.2
pymdown-extensions==10.17.2
pymdown-extensions==10.14.2
docx2txt==0.8
python-pptx==1.0.2
unstructured==0.18.21
msoffcrypto-tool==5.4.2
unstructured==0.16.17
nltk==3.9.1
Markdown==3.10
pypandoc==1.16.2
Markdown==3.9
pypandoc==1.15
pandas==2.2.3
openpyxl==3.1.5
pyxlsb==1.0.10
@ -78,6 +75,7 @@ validators==0.35.0
psutil
sentencepiece
soundfile==0.13.1
azure-ai-documentintelligence==1.0.2
pillow==11.3.0
opencv-python-headless==4.11.0.86
@ -87,37 +85,36 @@ rank-bm25==0.2.2
onnxruntime==1.20.1
faster-whisper==1.1.1
black==25.11.0
black==25.9.0
youtube-transcript-api==1.2.2
pytube==15.0.0
pydub
ddgs==9.9.2
azure-ai-documentintelligence==1.0.2
azure-identity==1.25.0
azure-storage-blob==12.24.1
azure-search-documents==11.6.0
ddgs==9.0.0
## Google Drive
google-api-python-client
google-auth-httplib2
google-auth-oauthlib
googleapis-common-protos==1.72.0
googleapis-common-protos==1.70.0
google-cloud-storage==2.19.0
## Databases
azure-identity==1.25.0
azure-storage-blob==12.24.1
pymongo
psycopg2-binary==2.9.10
pgvector==0.4.1
PyMySQL==1.1.1
boto3==1.41.5
boto3==1.40.5
pymilvus==2.6.4
pymilvus==2.6.2
qdrant-client==1.14.3
playwright==1.56.0 # Caution: version must match docker-compose.playwright.yaml
playwright==1.49.1 # Caution: version must match docker-compose.playwright.yaml
elasticsearch==9.1.0
pinecone==6.0.2
oracledb==3.2.0
@ -130,23 +127,23 @@ colbert-ai==0.2.21
## Tests
docker~=7.1.0
pytest~=8.4.1
pytest-docker~=3.2.5
pytest-docker~=3.1.1
## LDAP
ldap3==2.9.1
## Firecrawl
firecrawl-py==4.10.0
firecrawl-py==1.12.0
## Trace
opentelemetry-api==1.38.0
opentelemetry-sdk==1.38.0
opentelemetry-exporter-otlp==1.38.0
opentelemetry-instrumentation==0.59b0
opentelemetry-instrumentation-fastapi==0.59b0
opentelemetry-instrumentation-sqlalchemy==0.59b0
opentelemetry-instrumentation-redis==0.59b0
opentelemetry-instrumentation-requests==0.59b0
opentelemetry-instrumentation-logging==0.59b0
opentelemetry-instrumentation-httpx==0.59b0
opentelemetry-instrumentation-aiohttp-client==0.59b0
opentelemetry-api==1.37.0
opentelemetry-sdk==1.37.0
opentelemetry-exporter-otlp==1.37.0
opentelemetry-instrumentation==0.58b0
opentelemetry-instrumentation-fastapi==0.58b0
opentelemetry-instrumentation-sqlalchemy==0.58b0
opentelemetry-instrumentation-redis==0.58b0
opentelemetry-instrumentation-requests==0.58b0
opentelemetry-instrumentation-logging==0.58b0
opentelemetry-instrumentation-httpx==0.58b0
opentelemetry-instrumentation-aiohttp-client==0.58b0

View file

@ -11,6 +11,8 @@ services:
open-webui:
build:
context: .
args:
OLLAMA_BASE_URL: '/ollama'
dockerfile: Dockerfile
image: ghcr.io/open-webui/open-webui:${WEBUI_DOCKER_TAG-main}
container_name: open-webui

View file

@ -24,10 +24,6 @@ Noticed something off? Have an idea? Check our [Issues tab](https://github.com/o
> - **Template Compliance:** Please be aware that failure to follow the provided issue template, or not providing the requested information at all, will likely result in your issue being closed without further consideration. This approach is critical for maintaining the manageability and integrity of issue tracking.
> - **Detail is Key:** To ensure your issue is understood and can be effectively addressed, it's imperative to include comprehensive details. Descriptions should be clear, including steps to reproduce, expected outcomes, and actual results. Lack of sufficient detail may hinder our ability to resolve your issue.
> [!WARNING]
> Reporting vulnerabilities is not wanted through Issues!
> Instead, [use the security reporting functionality](https://github.com/open-webui/open-webui/security) and ensure you comply with the outlined requirements.
### 🧭 Scope of Support
We've noticed an uptick in issues not directly related to Open WebUI but rather to the environment it's run in, especially Docker setups. While we strive to support Docker deployment, understanding Docker fundamentals is crucial for a smooth experience.
@ -36,8 +32,6 @@ We've noticed an uptick in issues not directly related to Open WebUI but rather
- **Advanced Configurations**: Setting up reverse proxies for HTTPS and managing Docker deployments requires foundational knowledge. There are numerous online resources available to learn these skills. Ensuring you have this knowledge will greatly enhance your experience with Open WebUI and similar projects.
- **Check the documentation and help improve it**: [Our documentation](https://docs.openwebui.com) has ever growing troubleshooting guides and detailed installation tutorials. Please verify if it is of help to your issue and help expand it by submitting issues and PRs on our [Docs Repository](https://github.com/open-webui/docs).
## 💡 Contributing
Looking to contribute? Great! Here's how you can help:
@ -52,15 +46,9 @@ We welcome pull requests. Before submitting one, please:
4. Write clear, descriptive commit messages.
5. It's essential to complete your pull request in a timely manner. We move fast, and having PRs hang around too long is not feasible. If you can't get it done within a reasonable time frame, we may have to close it to keep the project moving forward.
> [!NOTE]
> The Pull Request Template has various requirements outlined. Go through the PR-checklist one by one and ensure you completed all steps before submitting your PR for review (you can open it as draft otherwise!).
### 📚 Documentation & Tutorials
Help us make Open WebUI more accessible by improving the documentation, writing tutorials, or creating guides on setting up and optimizing the Web UI.
Help expand our documentation by submitting issues and PRs on our [Docs Repository](https://github.com/open-webui/docs).
We welcome tutorials, guides and other documentation improvements!
Help us make Open WebUI more accessible by improving documentation, writing tutorials, or creating guides on setting up and optimizing the web UI.
### 🌐 Translations and Internationalization
@ -74,12 +62,9 @@ To add a new language:
- Copy the American English translation file(s) (from `en-US` directory in `src/lib/i18n/locale`) to this new directory and update the string values in JSON format according to your language. Make sure to preserve the structure of the JSON object.
- Add the language code and its respective title to languages file at `src/lib/i18n/locales/languages.json`.
> [!NOTE]
> When adding new translations, do so in a standalone PR! Feature PRs or PRs fixing a bug should not contain translation updates. Always keep the scope of a PR narrow.
### 🤔 Questions & Feedback
Got questions or feedback? Join our [Discord community](https://discord.gg/5rJgQTnV4s) or open an issue or discussion. We're here to help!
Got questions or feedback? Join our [Discord community](https://discord.gg/5rJgQTnV4s) or open an issue. We're here to help!
## 🙏 Thank You!

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