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Pressing stop saved the assistant message as finished while its output items were still marked as running, so the affected block kept showing "Thinking...", "Analyzing..." or "Executing...". That state was written to the database, so it came back after every reload. A tool call cancelled mid-execution was affected as well: it is marked completed as soon as its arguments finish streaming, well before the tool returns, and the client reads that as still executing until the result item arrives.
Cancelling now closes those items before the message is saved, marking them incomplete, which is the status the client already treats as finished without flagging an error. Tool calls waiting for approval are left untouched so their approval prompt survives a reload. The corrected output is sent on the chat:tasks:cancel event that was already being emitted, so an open tab settles immediately instead of only after a reload.
Emitting a chat:completion event instead would have fired response auto-copy, text to speech playback and the chat finished listeners on a response the user had just cancelled.
Verified on a running instance against a mock upstream: cancelling mid-response leaves no item marked as running in the saved message, and the identical run on unpatched code leaves one.
Fixes#29281
When a tool returns a base64 image, Open WebUI only moves it out of the model's context if the entire result is that image, or if the tool is MCP. An image sitting inside a returned object or a list was serialised into the tool message instead, so a single screenshot could cost hundreds of thousands of tokens, push out the rest of the conversation and leave the model answering from garbage.
Any string in a tool result that is exactly one image data URI is now moved into the result's files wherever it sits in the structure, and replaced with a short marker. The model gets the image as an attachment rather than as text, and it renders for the user instead of being dropped.
Detection is deliberately limited to values that are entirely a data URI. Scanning inside longer strings was tried and abandoned: a payload wrapped over several lines, or one followed by text, gets cut short, and shipping a truncated image is worse than the bloat because the provider rejects the whole request.
This also fixes the OpenAPI branch removing entries from the list it was iterating over, which skipped every second data URI and left it in the model's context.
Fixes#29208
Setting ENABLE_PROFILE_IMAGE_URL_FORWARDING=false stops the user and model profile image endpoints from redirecting browsers to external avatar URLs, but channel webhook avatars kept redirecting regardless. An operator who turned the setting off precisely to stop clients leaking their IP, User-Agent and Referer to outside origins still leaked all three whenever anyone viewed a channel message posted by a webhook with an external profile image URL.
The webhook profile image endpoint now reads the same setting the user and model endpoints already read, and serves the bundled default image instead of the redirect when forwarding is off. Stored URLs are untouched, so turning the setting back on restores the previous behaviour.
Verified against the real handler with seeded webhook rows: with the setting unset or true the endpoint still returns the 302 with the original Location, with it false it returns the default favicon as image/png with no Location and no header carrying the external host, and the data URI, no image and unknown webhook responses are byte identical in both states.
* fix: drop thinking blocks when converting Anthropic Messages requests to Chat Completions
Claude Code and other Anthropic SDK clients pointed at /api/v1/messages send the assistant's earlier thinking blocks back with every follow-up request. Since 0.11.0 those blocks were copied into the OpenAI assistant message as content parts of type thinking, a part type Chat Completions does not define. Strict OpenAI-compatible servers such as NVIDIA Dynamo reject the whole request with 400 "data did not match any variant of untagged enum ChatCompletionRequestAssistantMessageContent", so a conversation with a reasoning model died on its second turn. The error reports its position at the very end of the body, which made the request look cut off; it was complete.
Thinking and redacted_thinking blocks are now skipped in the conversion, which is what happened before 0.11.0. An assistant turn that held only thinking blocks is kept as an empty assistant message so the turn order survives. Native Anthropic and LiteLLM connections are unaffected because they receive the request untouched, and thinking blocks in responses are still produced.
Fixes#29799
* fix: keep signed thinking blocks when converting Anthropic Messages requests
Dropping every thinking block also removed the signed ones. Those are the blocks a gateway such as LiteLLM forwards to Anthropic, which needs the signed thinking block of the previous assistant turn when a tool-use turn continues with extended thinking. Only the unsigned blocks are the problem: Open WebUI creates them itself from reasoning_content, and strict Chat Completions backends reject them because thinking is not a content part type they know.
Unsigned thinking blocks are now dropped while signed thinking and redacted_thinking blocks are kept, the same rule LiteLLM applies before forwarding to Anthropic and the rule the native chat path already uses for Anthropic reasoning details. Backends that never emit a signature, such as NVIDIA Dynamo and vLLM, keep receiving requests without thinking parts, so the original failure stays fixed.
Pressing Stop on a chat that has more than one running task (a multi-model
response, or a follow-up sent from another tab or device while a response
is still streaming) reported success but only cancelled the first task.
The survivors kept streaming and kept executing tool calls until the
iteration limit, which is the runaway reported in the issue.
Without Redis the stop loop iterates the live task-id list of the chat.
Each awaited cancellation runs that task's cleanup, which removes its id
from the same list mid-iteration, so the loop runs out one element early
and the last task is never cancelled. Returning a snapshot of the list to
callers keeps the loop on the ids it started with. Redis deployments
already got a fresh list from the set and were not affected.
Verified against a mock upstream that calls a tool on every turn: with three
tasks on one chat, stop left one or two alive before the change and cancels
all of them after it.
Fixes#29816
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Streamed chat completions and the other proxied OpenAI and Ollama responses
went out with two Server and two Date headers: the upstream's copies, forwarded
verbatim, plus uvicorn's own. nginx in front of Open WebUI logs "upstream sent
duplicate header line" for both on every streamed request.
Server and Date belong to whoever terminates the connection, so both proxies now
drop the upstream's copies next to the encoding headers they already stripped.
The filter also compares header names case-insensitively. Before, it matched
title-case names only, so uvicorn-based upstreams such as vLLM and LiteLLM,
which send lowercase header names, had none of their headers stripped at all,
including the Content-Encoding entry the filter exists for.
Same fix as #29824 for the terminal proxy, applied to the other two proxy paths.
Proxied terminal responses (GET /api/v1/terminals/{id}/ports and every other
proxied route) went out with two Server and two Date headers: the terminal
server's copies, forwarded verbatim, plus uvicorn's own. nginx in front of Open
WebUI logs "upstream sent duplicate header line" for both on every request, and
the ports route is polled often enough to fill gigabytes of error log per day.
Server and Date belong to whoever terminates the connection, so the proxy now
drops the upstream's copies next to the framing headers it already stripped.
uvicorn's own values still go out, once. Everything else, including custom
upstream headers and TERMINAL_PROXY_HEADERS, passes through unchanged.
The OpenAI and Ollama proxies forward upstream Server and Date the same way and
are left for a separate change.
Fixes#29824
kb_exec silently ignored ls -t. It accepted the flag, dropped it and
returned the same undefined database order as a plain ls, so the model
believed it had a newest-first list when it did not. With a few thousand
files in a knowledge base there was no way to ask what changed recently
without reading the whole listing and comparing dates by eye.
ls, tree and find now sort their file lines by name by default, so the
same knowledge base always lists the same way. -t sorts newest first,
-S largest first and -r reverses, combinable like -at or -tr, matching
the flags the model already knows from a shell. Directories keep their
existing name order and stay grouped first. No query changes: the
timestamps and sizes were already loaded for the date and size columns.
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Fetching a page with many media files through the Playwright web loader was extremely slow or timed out, while raw Playwright loaded the same page in a couple of seconds. The loader routes every request the page makes through the backend HTTP client and downloads the full body before the browser sees any of it, and the browser cancelling a media request once it has enough never reaches that download. On a page with a few dozen audio players every file was pulled in full for a text extraction that never reads it.
Image, media and font requests are now aborted in the interceptor before any fetch is made. None of them feed the text extraction. Measured on the page from the report with the default timeout on the same connection:
| | requests fetched | bytes downloaded | elapsed |
|---|---|---|---|
| before | 151 | 55.0 MB | 10.1 s |
| after | 45 | 3.9 MB | 2.6 s |
Fixes#29741
The bulk tool export returned every tool the caller could read, while the per-tool export path returns only what the caller can write. This aligns the two, matching how model export already scopes its query.
Callers still export their own tools and any tool shared with them for writing; admins running with BYPASS_ADMIN_ACCESS_CONTROL are unaffected.
