Automation runs, timers and sub-agents stopped getting a reply after the shared chats rework: the chat shows an empty answer and the run fails with `409 Message already exists or has an invalid ID.` Each of them creates the empty answer before asking the model, and the backend began refusing to fill an answer that is already in the chat; the server-side API flow in the docs and API calls without a user message broke the same way. Such an empty answer is now filled in again when it belongs to the same user and answers the same message, and API calls without a user message work as before, saving the reply on its own as the docs describe. A firing timer or sub-agent also no longer cancels the chat's other timers that are set to stop when the user writes next. Answers that are already finished, or that belong to another user in a shared chat, are still refused.
Fixes#32066
Account creation times are stored in whole seconds. On Postgres, a user created in the same second as the first admin, which is normal when a script sets up an instance, could be picked as the primary admin. Other admins could then demote or delete the real first admin, nobody could edit, lock or delete that user, and pending users were shown that user as the admin contact. An admin account now wins a same-second tie against a regular one.
When an OpenAI-compatible speech-to-text engine or Deepgram rejected a recording, the error shown after dictating only gave the HTTP status, such as "429 Too Many Requests", and the engine's own reason, such as "Quota exceeded" or "Invalid credentials.", was lost. The error now shows that reason. When the engine sends no reason, the HTTP status is shown as before.
Fixes#32009
With Datalab Marker as the content extraction engine, every file upload it processed failed on pip and source installs with `Permission denied: '/app'`, because Open WebUI saved a copy of the extracted text under `/app`, a folder that only exists inside the Docker image. That copy now goes to the uploads folder inside `DATA_DIR`, so extraction works on any install. Docker installs with the default data directory keep the same location.
Fixes#32025
Since the recent change that keeps a history of function and tool edits, saving a new function or tool whose Valves (its admin settings, such as an API key) have a required field with no default was refused with "Current Valves are incompatible with this code: ... Field required", because a new one has no Valves set yet. Editing the code to add a new required field failed the same way. Missing required fields no longer block saving, so the function or tool can be installed first and its Valves filled in afterwards, as before that change. Saved Valves that have the wrong type for the new code are still rejected.
Fixes#32145
With Kagi as the web search engine, any entry in the Domain Filter List made every search fail with "'SearchResult' object has no attribute 'get'", so the model got no search results. The Domain Filter List now works with Kagi the same way it does with the other search engines, and the remaining results reach the model.
Fixes#32004
With Perplexity Search as the web search engine, the Domain Filter List had no effect: blocked domains still showed up in the results the model got, and an allowlist let every result through. The filter now applies to Perplexity Search results as it does for the other search engines.
Fixes#32005
When a skill was saved several times within one second, its version history in the skill editor listed those versions in a shuffled order. This happens when a model edits a skill several times in one reply, or when an import replaces a skill right after it was created. Each new version now gets a save time at least one second later than the one before it, so the history keeps the order the versions were saved in. During such a burst, the shown save time runs ahead by about one second per extra save.
Fixes#32134
Searching Workspace > Skills only matched a skill's original name, description and id, so typing the German name given to a skill in its editor found nothing, even with the interface in German. The search now also matches the names and descriptions translated in the skill editor, in any language, so both the translated and the original name find the skill, as the Translations page in the docs says.
Fixes#32018
When a chat is named after its first message (title generation off, or the automatic title is blank), a message that starts with a skill picked by typing $ in the message box gave the chat a title like `<$tides-1234|Tides> when is high tide`. The title now shows each picked skill by its name, so the sidebar reads "Tides when is high tide".
Fixes#32019
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rapidocr 3.9.2 required the GUI build of OpenCV, so every install carried it next to the headless build Open WebUI already pins. Both builds install the same Python package, so which one you got depended on install order, and the GUI build added about 115 MB of installed files on x86_64 that a server never uses. rapidocr 3.10.0 depends on the headless build instead, so installs now carry only that one. Text extracted from images inside PDFs is unchanged.
Part of #29721.
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After Redis restarted or closed Open WebUI's connections, the first few requests that needed Redis failed. Chat requests answered with a 500 error, and a browser tab connecting at that moment got no live updates, such as streamed replies, until it was reloaded. Open WebUI now reconnects and retries the failed Redis call once when Redis has closed the connection, so requests go through as soon as Redis is back. While Redis is down, requests still fail as before.
With Stream Chat Response turned off, a reply where the model called a tool was never saved or marked as finished, so the chat kept showing it as still generating until the page was reloaded. The reply is now saved and finished like any other non-streamed reply. Tools themselves still only run with streaming on, as the docs describe.
Outlet filters see the finished reply with its content and token usage, but had no way to tell whether the model ended on its own, ran into the token limit or stopped to call a tool, short of reading every chunk in a stream filter. For OpenAI-compatible and Ollama models, the assistant message handed to outlet now carries finish_reason with the value the provider reported on the last model call of the turn, for streaming and non-streaming replies. Ollama replies cut off by the token limit now report length as well, where they always said stop before.
With ENABLE_FORWARD_USER_INFO_HEADERS on and hybrid search enabled, rerank requests went out without the user headers when a chat searched attached knowledge, when a model used the built-in knowledge search tool, and when the collection query API was called with hybrid turned off for that one request. The embedding requests of the same search did carry them, so external rerankers that use these headers for per-user auth, rate limits or auditing saw anonymous calls. Rerank requests now carry the signed-in user, the same as embedding requests.
Fixes#32060
When a model streams its images in separate chunks, each new chunk saved all earlier images again, so the copies doubled with every image: four images were stored as fifteen and the chat showed duplicates. New replies now keep each image once. Chats that already hold duplicates stay as they are.
Fixes#32053
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