Saving a chat rewrote its message rows one at a time. Each message took its own session out of the pool and committed on its own, and the save endpoint hands over the entire merged history rather than only what changed, so a two hundred message chat cost two hundred sessions and two hundred commits on every save.
The messages now go through a single select and a single commit. The field mapping for the insert and the update branch moved into two small helpers, so the batch and the single-message path cannot drift apart.
Measured on a two hundred message chat with one message edited: 201 queries and 200 transactions before, 2 queries and 1 transaction after, ~149 ms against ~6 ms. Re-saving an unchanged history now costs one select and no writes at all.
One behaviour change worth stating: a message the database cannot store used to be skipped on its own, and now costs the rest of that same save. This table is a rebuildable fast path, so the reader falls back to the history on the chat row and re-triggers the backfill, and the next save reconciles everything still present. A per-message retry was tried and dropped, because a commit that lands but still raises would re-apply the usage merge and double the recorded token counts.
Changing a password left every other logged-in device working until the JWT expired on its own, up to four weeks with the default settings. The hardening docs already promise the opposite: with Redis configured a password change is supposed to put the user's tokens on the revocation list, but only sign-out and OIDC back-channel logout ever wrote to it.
Both password-change paths, self-service and an admin resetting someone's password, now stamp the per-user revocation marker that token validation already checks, so every session issued before the change stops working. The acting device is signed out as well and asked to sign in again, which is the safer default when the password is being changed precisely because the old one may be compromised. Without Redis nothing can be revoked, as before, and the backend now logs a warning saying so.
The marker is written through one shared helper, so its lifetime follows the configured JWT lifetime instead of a fixed 30 days and never expires at all when JWT_EXPIRES_IN disables expiry. Back-channel logout picks that up too, where a long or disabled JWT lifetime previously let the marker expire while the tokens it revoked were still valid. API keys keep working, they are separate credentials with their own lifecycle.
Discussed in #28647.
The Python test suite was deleted in 4527c747b but its dependencies stayed behind, so pytest, pytest-docker and the docker SDK still install into every image variant, and moto joins them for anyone running pip install open-webui[all]. No Python test file remains in the repository, nothing imports these packages, and no CI job runs pytest. They are removed from backend/requirements.txt and from the all extra, which are the only two channels they ship through.
netcat-openbsd goes for the same reason. It was added in January 2024 without a consumer and nc has never been invoked anywhere in the repository, in any script, workflow or compose file. Both the readiness wait and the healthcheck use curl, and the Ollama install script does not ask for it either.
uv.lock is regenerated output, not hand-edited. It drops three of the four packages plus three transitives that nothing else needs, with no version changes and no additions. pytest stays locked because pytest-asyncio in the dev group still requires it. The dependency markers it adds on the CUDA and numpy entries are inert: each one is a superset of the condition its parent already installs under, and the resolved default install set is identical before and after.
This saves roughly 2 MB uncompressed, which is nothing next to the image as a whole. The point is that a production image stops shipping a test framework and a Docker socket client it never uses.
Everything else stays and is load-bearing. The container installs pip packages at runtime for user-authored tools and functions, so it needs git and a working compiler for anything that is not a prebuilt wheel, and libmariadb-dev for the manual MariaDB install. zstd is required for updating Ollama inside the bundled image. black looks dev-only but backs the code formatting endpoint.
Ref: https://github.com/open-webui/open-webui/discussions/28716
The legacy function-calling path acted on the client-supplied `features` dict after checking only the per-user permission, so a user who still held `features.web_search` or `features.image_generation` could keep triggering web searches and image generation after an administrator had switched those off instance-wide. The native function-calling path already gates the equivalent builtin tools on `web.search.enable` and `image_generation.enable` in `get_builtin_tools`, so the two paths disagreed and the admin-level switch did not actually stop the outbound provider calls it was turned off to stop.
Gate the legacy web search handler on `web.search.enable` at its call site, and gate `chat_image_generation_handler` on the two image switches internally. The image handler needs the check inside it because `image_generation.enable` and `images.edit.enable` are independent: editing stays available when generation is disabled, matching the `/images/generations` and `/images/edit` routes and the native `generate_image`/`edit_image` tools. The handler calls `image_generations`/`image_edits` directly and so bypasses the route guards, which is why the check has to live at the caller.
The "Creating image" status event moves below the new guard so a disabled configuration returns without leaving an unresolved progress indicator in the chat.
Seven route handlers declare a request-scoped database session as a FastAPI dependency and then never touch it. Three of them are `GET /api/v1/users/user/settings`, `/user/status` and `/user/info`, which the frontend hits on every page load, and all three carry a comment saying the user object is already available, so the parameter is leftover from the refactor that removed the refetch. The other four are admin-only external-knowledge connection endpoints that read their data from the config store.
Measured on a route with and without the dependency, 20k requests, best of 5:
| | µs per request |
| --- | --- |
| no dependency | 16.18 |
| unused session dependency | 62.85 |
The dependency costs about three times as much as everything else the request does put together. It is worth being precise about why, because the obvious guess is wrong: this is not database I/O and not connection pool pressure. SQLAlchemy connects lazily, so a session that is never used checks out zero connections, verified by watching the pool's counter stay at zero across the request. The cost is FastAPI resolving an extra async-generator dependency onto the request's exit stack, plus constructing and closing the session object.
Deleting the seven parameters is the whole change. An AST scan over the backend finds exactly these seven handlers before and none after.
With database session sharing enabled, which the docs recommend for PostgreSQL and for multi-replica deployments, the knowledge pending-files and file process-status endpoints each pinned one pooled connection for as long as their SSE stream stayed open, up to one and two hours respectively. A file wedged in processing keeps a stream open for the full duration, so a handful of users sitting on that page can consume every connection in the pool, and the held transactions sit idle and block autovacuum on those tables.
Both handlers took a request-scoped session for their access checks, and FastAPI only releases a yield dependency once the response body has finished streaming, so the session outlived the handler by the whole life of the stream. Neither generator ever used it. They no longer take that dependency, and the queries they run already open their own short-lived sessions when none is passed. This is the approach the chat completion endpoints already use for the same long-response problem.
Measured against a pool with capacity 11: before, at most 11 concurrent streams could ever be open and every further attempt failed, deterministically across repeat runs. After, 25 of 25 opened. Non-stream latency is unchanged, within run-to-run noise, and behaviour is identical whether session sharing is on or off.
Three searches LIKE against cast(json_col AS text), which means they have to match
bytes a JSON encoder wrote. Encoders disagree on non-ASCII: stdlib escapes it to
\uXXXX, orjson writes it raw. Which one produced a row depends on the codec in force
when it was written, so any single pattern finds only half the table.
models.py hard-codes the stdlib spelling, with a comment asserting SQLite stores
JSON via json.dumps(ensure_ascii=True). Model.meta is a JSONField, which has
serialised through JSONCodec since ENABLE_ORJSON was introduced, so on that setting
it stores raw UTF-8 and the escaped pattern matches nothing: non-ASCII workspace
model tag search is broken today. prompts.py and automations.py hard-code the
opposite spelling and miss rows written the other way.
json_text_variants returns both spellings a string can take inside serialised JSON,
collapsing to one for ASCII, and the three call sites OR over them. Rows written
under either setting are now found under either setting, which also covers a
database holding a mix of the two.
Case handling is unchanged. models.py keeps matching non-ASCII tags case-sensitively
on SQLite, whose LOWER() is ASCII-only and would not fold the stored text the way
str.lower() folds the tag. ASCII tags collapse to a single variant and take exactly
the query they took before.
Verified on SQLite across every combination of codec-that-wrote-the-row and
codec-the-app-is-running, for an ASCII and a CJK tag, over all three call sites: 24
of 24 match, against 12 of 24 before. Quoting still bounds whole-tag matches, so
searching "weather" does not match a row tagged "weathervane".
Co-authored-by: Claude <noreply@anthropic.com>
periodic_usage_pool_cleanup, periodic_session_pool_cleanup and
scheduler_worker_loop were started with asyncio.create_task and their
handles discarded. The event loop keeps only a weak reference to a task,
so a task with no other referent can be garbage collected while it is
suspended at an await. All three are while True loops meant to run for
the process lifetime, and if one is collected the failure is silent:
pool entries stop being cleaned up, or automations and calendar alerts
stop firing, with nothing logged.
Six lines above, redis_task_command_listener is already stored on
app.state and cancelled on shutdown. This applies the same treatment to
the other three.
Closes#28052
POST /api/v1/models/sync only worked when every model in the payload was new. As soon as one id already existed, the whole call blew up and the endpoint still answered HTTP 200 with an empty list, so nothing was updated and well-behaved clients saw a success. Only a first-ever sync into an empty catalogue went through.
The update branch splatted the model dump (which already carries user_id and updated_at) and then passed both again as explicit keyword arguments, which is a duplicate-keyword TypeError before SQLAlchemy ever sees it. The insert branch right below merged the same values into a dict first, so it never collided.
Fixed by building that dict once and using it for both branches, matching how sync_functions already does it. Left the broad exception handler alone: it is the reason the failure was silent, but changing the error contract of sync_models is a separate call.
Fixes#28033
The Playwright loader's route interceptor now performs each intercepted request with the same requests/aiohttp clients the other web loader paths already use and fulfills the page with that response, rather than having the browser issue it. Redirect handling, header forwarding and cookie delivery to the browser are unchanged.
Two consequences worth knowing. Page requests now leave from the backend instead of the browser, so with PLAYWRIGHT_WS_URL set they originate from a different host, and TLS is verified against certifi plus AIOHTTP_CLIENT_SSL_CERT_FILE rather than the browser's own trust store. And because the synchronous interceptor blocks, sub-resources on that path fetch one at a time: 30 assets at 40ms went from 2.01s to 3.01s, and 8 assets at 500ms from 1.05s to 4.50s. The asynchronous path is unaffected, at 0.65s and 1.05s respectively.
Both the OAuth and SCIM user lookups now compare the nested JSON value with SQLAlchemy's subscript operator, which emits the correct SQL for each supported database on its own. This replaces the hand-written sqlite and postgresql branches and the column-level contains() call they used.
* fix: preserve user info in agentic RAG tools
* fix: preserve user info in file access checks
---------
Co-authored-by: Damien SPINELLI <damien.spinelli@external.list.lu>
The /openai/responses endpoint forwarded the prefixed model id (e.g.
"myprovider.gpt-4o") to the upstream provider instead of the stripped
native name, causing "model not found" errors when a connection has a
Prefix ID configured.
generate_chat_completion() already strips the prefix before forwarding;
apply the same strip_provider_model_prefix() call in responses() after
the urlIdx routing (which needs the prefixed id) and re-serialize the
body afterwards.
Also fixes the Azure non-v1 deployment path, which built the deployment
URL from the prefixed model name.
Co-authored-by: Claude <noreply@anthropic.com>
A skill ID goes straight into the path of every mutating skill endpoint (/api/v1/skills/id/{id}/...), but create only replaced spaces with hyphens. An ID containing a "/" was stored verbatim as the primary key, so the route never matched, the request fell through to the SPA static mount and the client got 405 Method Not Allowed. The skill could not be opened, edited, toggled or deleted, by admins either, and since skill.name is UNIQUE it could not be recreated under a corrected ID. Percent-encoding does not help: uvicorn decodes the path before Starlette routes it, so the only remaining fix was a direct database write.
Create now rejects any ID outside [a-z0-9_-] with 400 instead of silently storing an unreachable one. Two frontend paths that fed unsanitized IDs into it are fixed as well: the manual "Skill ID" field, which was bound with no sanitization at all and is the path that reproduces on every version, and the markdown import, which put the raw frontmatter name into the ID before opening the editor in clone mode, where the reactive slugify is disabled.
Existing rows with an unreachable ID are not repaired here; rewriting a primary key would also have to re-point the access grants keyed on it.
Fixes#27655
With ENABLE_OAUTH_GROUP_MANAGEMENT enabled, every SSO login reconciles the user's group membership against the IdP claims, adding and removing them from groups and, with ENABLE_OAUTH_GROUP_CREATION, creating groups that do not exist yet. None of it emitted an event, so the same membership change was observable when an admin made it through the UI or when it arrived over SCIM, but invisible when the IdP drove it. That is the path that changes membership most often.
Emits group.member_added and group.member_removed per membership transition and group.created for each auto-created group, using the same payload keys as the groups router. The member events are published only when the write returned a group, so a failed or no-op write emits nothing, and both loops already run only on an actual transition. update_user_groups takes the request so the events can be published; it has a single caller.
