Newer OpenAI chat models put metadata on the opening line of a colon fence block, like :::writing{variant="email" id="48173" subject="Short question" recipient="mail@example.com"}. The tokenizer matched that line and discarded it, so every block rendered under the same generic "Writing" heading no matter what it contained.
The opening line is now parsed into an attributes map on the token and the header uses it: the subject becomes the title, the recipient follows it and the full string is reachable on hover when the row is too narrow for it. Blocks without metadata render exactly as before, and the other fence types get the parsed attributes for free.
Attributes are read only from inside the {...} braces, not from the whole opening line. Scanning the whole line turned ordinary prose containing key="value" into metadata, and it backtracked quadratically: a 40k character opening line took 586ms to parse, and that runs again on every re-lex while the message streams. Anchored to the braces it is 0.0ms.
Nothing here turns the recipient into a link or a send action. That metadata is model output and can be steered by whatever is in the context, so a prefilled mail action is a separate decision rather than a side effect of parsing.
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KatexRenderer rendered the raw math source through {@html} whenever renderToString threw. throwOnError only suppresses KaTeX ParseError, so a RangeError (maximum call stack size exceeded, reachable with deeply-nested brace input) escaped into the catch and re-exposed the unescaped source. Because the math tokenizer captures everything between the delimiters verbatim, that source can carry an HTML/JS payload which then executed in the viewer's browser on the application origin, a stored, cross-user XSS reachable through normal chat/channel/shared-chat rendering. Escape the fallback so the source is shown as text and is never injected as HTML. Valid math is unaffected, it still renders through the success path.
Co-authored-by: maxntv <maxntv@users.noreply.github.com>
Adds a multiselect input type for Valves and UserValves so plugin authors can let users pick multiple values from static or runtime-resolved options instead of maintaining comma-separated text fields with hardcoded allowed-value lists in the description.
ENABLED_ITEMS: list[str] = Field(
default=["foo"],
json_schema_extra={"input": {"type": "multiselect", "options": "get_item_options"}},
)
@classmethod
def get_item_options(cls):
return [{"value": "foo", "label": "Foo"}, {"value": "bar", "label": "Bar"}]
Options accept the same shapes as the existing select input: either a static list (strings or {value, label} dicts) or a classmethod name resolved at request time (including __user__ context for UserValves). No backend changes are needed because resolve_valves_schema_options already resolves options independently of the input type.
The new MultiSelect component follows the existing Select portal dropdown pattern and renders checkbox rows that stay open while toggling, with the selected labels shown in the trigger. Values bind as a real string array end to end: the array-to-comma-string conversions in the chat controls valves panel and the valves modal are skipped for multiselect fields, so the stored valve is a native list[str] validated by Pydantic.
Requested in #26848.
* chore: drop redundant background repaints so surfaces inherit their parent
Four spots repaint the exact color their parent surface already provides
(bg-white / dark:bg-gray-900 rows inside same-colored pages and modals,
and the selectClass dark repaint inside the connection modals — the
sibling input const is already fully transparent). Visually identical in
stock light and dark; removing them lets instance theming show through
instead of leaving opaque boxes:
- .tiptap tr (app.css) — table rows in notes/editors
- Edit User Group Users tab body rows (common Modal surface)
- AddToolServerModal + AddTerminalServerModal selectClass dark repaint
The matching repaints inside the ModelUsage/UserUsage components are
not part of this change — those files were dead code and were removed
entirely in #27574.
* chore: catch remaining redundant surface repaints missed in the first pass
Same rule as the previous commit — every one of these repaints the exact
color its parent surface already provides, so removal is stock-identical
in light and dark while letting instance theming show through:
- Analytics Dashboard's inline Model Usage / User Activity row markup
(the Analytics tab renders these tables from Dashboard.svelte itself;
the unreferenced ModelUsage/UserUsage component files were removed
in #27574)
- Evaluations Feedbacks + Leaderboard body rows (settings modal surface)
- admin UserList body rows (app page surface)
- chat markdown tables (MarkdownTokens): thead and body rows — unlike
the tiptap header (gray-850 contrast, untouched), this thead painted
the page's own color
- CitationsModal source rows (common Modal surface)
- AddConnectionModal selectClass dark repaint — third copy of the same
const already fixed in AddToolServerModal / AddTerminalServerModal
* feat: add default upload mode setting
Add user setting to configure the default upload mode for files, allowing users to choose between "Using Entire Document" (full context) and "Using Focused Retrieval" (RAG processing) as the default behavior.
* i18n: sync locale catalogs for the new upload mode strings
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* chore: re-trigger CI (previous run hit the pre-existing Node heap OOM, see #27254)
* fix: apply the default upload mode at upload time so the payload carries it
The previous approach only pre-set the modal toggle's visual state on
mount; item.context is written solely by the Switch's on:change, so the
sent files kept context: undefined and the backend never saw 'full'. It
also showed a misleading ON state for legacy context-less files, since
FileItemModal mounts with every FileItem chip render.
Stamp context on the fileItem in uploadFileHandler instead (before
...itemData, so callers passing an explicit context still win) and
revert the FileItemModal hunk — the modal already renders from
item.context alone.
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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* fix: show download preparation toast and prevent duplicate zip jobs
Downloading a file or folder from the file navigator gave no feedback while the server prepared the response, which can take 30 seconds or more for large folders that are zipped server-side. Users assumed the click did nothing and pressed Download again, starting additional zip jobs on the server. Both downloadFile and bulkDownload, the two functions every download control funnels through, now show a persistent "Preparing download..." loading toast while the request is in flight and dismiss it once the download starts or fails. A shared downloading flag makes repeated clicks no-ops until the current download finishes, so a single click starts exactly one server-side job. Fixes#27055
* fix: report terminal download failures instead of dismissing the toast
A failed download dismissed the preparation toast without saying anything, which reads as the download silently disappearing. Both download paths now report the failure. The two helpers also declare a nullable return but could still reject once the response body started streaming, so an interrupted transfer escaped as an unhandled rejection and left the same silent dismissal. They now return null in that case, which also stops an interrupted preview from leaving its spinner running.
When the same model is selected multiple times in a side-by-side chat,
each response is created with a distinct modelIdx (0,1,2,3) that
identifies its column. The backend now owns message persistence, but it
built the assistant placeholders without modelIdx, so the field was
never saved. On reload MultiResponseMessages groups responses by
modelIdx and falls back to grouping by model id when modelIdx is
missing; with duplicate models that fallback lumps every response into
each column, so all columns render the first response (and show a bogus
'1/N' pager).
Send modelIdx with each message_ids entry from the frontend and persist
it on the assistant placeholders in both the new-chat and existing-chat
paths. The message_ids list is now forwarded for every send (not just
multi-model ones) so single-column regenerations in a duplicate-model
chat also keep their column identity across reloads.
