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free_disk:true name:cuda126 suffix:-cuda126]) (push) Waiting to run
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Create and publish Docker images with specific build args / build (map[arch:linux/amd64 runner:ubuntu-latest], map[build_args: free_disk:false name:main suffix:]) (push) Waiting to run
Create and publish Docker images with specific build args / build (map[arch:linux/amd64 runner:ubuntu-latest], map[build_args:USE_CUDA=true
USE_CUDA_VER=cu126
free_disk:true name:cuda126 suffix:-cuda126]) (push) Waiting to run
Create and publish Docker images with specific build args / build (map[arch:linux/amd64 runner:ubuntu-latest], map[build_args:USE_CUDA=true free_disk:true name:cuda suffix:-cuda]) (push) Waiting to run
* fix: Direct Connection replies are saved scrambled or empty
With a Direct Connection the browser tab forwards the model's reply to the server piece by piece. Since the server started checking the tab's session again for every one of those pieces, the pieces could overtake each other while the checks ran, so the saved reply came out in the wrong order, or empty when the end of the stream arrived first. Pieces from one tab are now handled one after another in the order they arrived, and each one is still checked.
Fixes#31953
* fix: check Direct Connection reply pieces side by side while keeping them in order
Handling one tab's reply pieces strictly one after another also made each piece wait for the previous piece's session check, so a fast 2000-piece reply took 12 to 22% longer to save than without the ordering. Each piece's check now starts as soon as it arrives and only the hand-over waits its turn, so replies save as fast as before and still in order. Once a check fails, for example after a sign-out, no later piece from that tab gets through either.
On Qdrant, uploading a file into a knowledge base or editing a file's content could leave the knowledge base with only part of the file, often exactly 64 chunks, while the file showed as completed and nothing was logged. The file's chunks were saved without waiting for Qdrant to make them searchable, and the knowledge base copied them straight after, so it only got the ones Qdrant had finished storing. Saving now waits until Qdrant has finished storing the chunks, so the knowledge base always gets the whole file. On a busy Qdrant this makes file processing somewhat slower, since each save now waits for the server.
Fixes#31959
When a model file was downloaded by URL in Manage Ollama, the end of the file could still be on its way to disk when Open WebUI sent it to Ollama, so Ollama got a cut-off copy. The download is now fully on disk before it is sent, so Ollama gets the whole file.
Fixes#31956
When a model returned an image, only PNG was saved as a file. JPEG and WebP images stayed as raw base64 data inside the chat in the database, so a 1.5 MB JPEG made the stored chat 1.5 MB larger. These images are now saved as files and the chat keeps only a link to them, the same way PNG already worked.
Fixes#31916
The inline citation markers in answers from external knowledge bases (Qdrant, Milvus, pgvector) showed the site's domain, for example docs.example.test, instead of the page title saved with each document. They now show that title, the same way a regular knowledge base shows the file name, and still fall back to the domain when a document has no title. Two different pages can share a title, so each marker now looks up its title by the page it points to; before, a repeated title made every later marker show the next page's title and the last one show nothing.
Fixes https://github.com/open-webui/open-webui/issues/31929
With Milvus as the vector database, all chunks of a file were sent to Milvus in one request. Large files exceeded Milvus's default 64 MB request size limit, so processing ran through the whole embedding step and then failed with the error RESOURCE_EXHAUSTED. With a 4096-dimension embedding model this already happened at about 4,000 chunks, which is a few MB of text. Chunks are now sent in batches of 128, with and without ENABLE_MILVUS_MULTITENANCY_MODE.
Fixes#31989
When a reply was paused and then picked up again, either by answering a question from the built-in Ask User tool or by pressing Continue, every tool round from the second one on sent everything from before the pause to the model twice. Providers that reject repeated tool calls, like DeepSeek, then fail with "Duplicate 'call_id'" and the chat stops, while others quietly see the earlier tool calls and text twice. Everything from before the pause is now sent exactly once. Tested against a mock provider that records every request: three tool rounds after an answered question and after Continue send everything once, and replies that were never paused send exactly what they sent before.
Fixes#31991
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USE_CUDA_VER=cu126
free_disk:true name:cuda126 suffix:-cuda126]) (push) Waiting to run
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Some providers, like Kimi K3 on OpenRouter, number their tool calls from zero again each time the model calls tools within the same reply. A later batch of calls then overwrote the earlier calls with the same id, so the saved chat showed the earlier calls with the later arguments, and the model was sent its earlier results next to the wrong arguments. A new tool call whose id is already used in the same reply now gets a fresh id, so every call keeps its own arguments and result, and providers that send unique ids are untouched. Tested before and after against a mock provider that reuses ids on every round.
Fixes#28305
With All time selected, the Daily Messages chart in Admin Panel > Analytics failed to load (the daily analytics request returned a 500) as soon as one message had been saved without a timestamp, for example a chat created through the API with a null timestamp. A date range still worked because those messages were left out of it. Such messages now get the time they were saved, and ones already stored without a timestamp are counted on today's date instead of breaking the chart. Messages that came after the missing timestamp in the same chat were also left out of analytics before and are now counted.
Fixes#27316
Images stored inside the chat record itself (chats from older versions, images that could not be saved as files, temporary chats) had their encoded data counted as text when estimating how full the context is, so a single 3 MB image counted as about a million tokens. That pushed the chat over the compaction threshold, summarizing older messages while the chat was well under the limit, and made the context usage indicator jump. The encoded image data is now left out of the token estimate, both for compaction and for the indicator.
Fixes#31913
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Create and publish Docker images with specific build args / build (map[arch:linux/arm64 runner:ubuntu-24.04-arm], map[build_args:USE_CUDA=true
USE_CUDA_VER=cu126
free_disk:true name:cuda126 suffix:-cuda126]) (push) Waiting to run
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When a reply was stopped or failed before the model sent any text, the chat kept an empty reply, and every later message in that chat sent it back to the model as part of the conversation. Providers that reject empty assistant messages then refused every new request, so the chat stayed unusable unless the empty reply was deleted from the database by hand. Empty replies are now skipped when the conversation is sent to the model, as replies that ended in an error already were. Chats already stuck like this work again on their next message, since nothing stored has to change.
Fixes#25083
Pasting a large block of text (around 150 KB or more) into a note made the note's live connection drop and reconnect, and the text was never saved, so a reload showed the note without it. Each edit message carries the whole note in several formats, which pushed it past the server's 1 MB cap on a single message. That cap is now 16 MiB, the same size the server already accepts for a websocket message, so notes with up to about 2 MB of text save again.
Fixes#26140
Connecting an MCP tool server over OAuth 2.1 failed after signing in at the provider with an "invalid or expired state" error whenever the server advertises a long list of scopes, such as the Google Workspace MCP server with its 42 Google scopes. Open WebUI saved the full authorization link it sends to the provider in the session cookie, which pushed the cookie past the 4096-byte browser limit, so the browser dropped it and Open WebUI could not recognise the user when the provider sent them back. The link is no longer saved there, so the cookie stays at a few hundred bytes even with long scope lists.
Fixes#26382
Open WebUI puts the MCP server ID in front of every MCP tool name it offers to the model. When the two together are longer than 64 characters, providers that cap tool names at 64 (the OpenAI API, AWS Bedrock) reject the whole chat request, even if the model never picks that tool. Names over the limit are now cut to 64 characters ending in a short hash, so the same tool always gets the same name and the MCP server is still called with the original tool name. Names that already fit are unchanged.
Fixes#31821
