Files
windmill/system_prompts/auto-generated/prompts.ts
3dae553576 feat: pipeline editor: assets-only view, Fix actions and draft triggers (#11440)
* wip: one sidebar for operators and developers, with a detach mode

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: snap-detach the operator sidebar, and join the handle to the picker

Dragging the sidebar into the left snap zone detaches it for an operator, who
has no icon-only rail to collapse into; the width the drag started from is what
gets persisted, so re-attaching restores the sidebar's size.

The handle's colour pastille slides onto the card's workspace pastille as the
card opens, alongside the workspace name, and both buttons that attach or
detach the sidebar carry a tooltip.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: attach and detach from the sidebar header, open the card under its handle

The button that swaps the sidebar between docked and detached moves to the
header, next to the workspace name, so it stays in one place across the swap;
the icon-only rail has no room for it and keeps the footer copy.

The handle itself becomes a component of its own, carries the workspace icon
its picker uses, and opens the card rather than docking — docking is the header
button's job. The card is placed under the handle measured at open time instead
of at a fixed offset.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: one page header across routes, with the workspace picker in it

Every route now wears the same bar above its content: the sidebar toggle, the
workspace picker, and whatever the route registers — an item's breadcrumb and
summary, or a section name — with the route's own buttons at the far end. The
bar's row is level with the sidebar's own top row, which the workspace ⇄
sessions switch now owns, so the two read as one band.

A route fills the bar by mounting PageHeaderContent, which registers a getter
rather than a snapshot: the layout calls it while rendering, so a path or
summary the page edits reaches the bar without an effect keeping two copies in
step. Nothing registers yet; the routes follow.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: detail pages fill the page header, which now spans above the sidebar

A script or flow detail page no longer draws a bar of its own: its path becomes
the header's breadcrumb, its summary keeps the rename-and-labels popover next to
it, and its badges, menu and buttons ride along as the header's actions. The
band runs the full width with the sidebar hanging below it.

A snippet rendered in the header initialises its components under the header,
not under the page that wrote it, so anything the page's tree provides is lost —
the detail page's buttons read TriggerContext and threw. ContextBridge carries
the entries a registration names back around the render.

The floating handle is gone with it: the header's own toggle is the one control,
hovering it peeks the sidebar in and clicking pins it. The workspace picker in
the header is a denser variant of the sidebar's, and the card's outside-click
catcher starts at the card rather than the viewport top, so it no longer
swallows clicks meant for the toggle.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: one breadcrumb in the page header, and the banners that used to sit under it

The header band now carries a single breadcrumb — workspace, fork, then the item's
path — built from one component, so every segment has the same size, weight and icon
size, and slashes separate them. The item's kind icon rides with its summary, after a
dot, rather than with the path.

The fork and drafts banners move into the band as badges plus a subtle Review button:
ahead/behind counts instead of a bare change total, and the per-kind breakdown stays on
the compare page. The home hero's CLI, MCP and Hub links move into an ellipsis menu,
alongside the toggle that pins the session chat to the page.

The flow editor and the app viewer hand their bar to the band too, and a route can drop
the band's bottom border when its own content draws one — the border stays in the box
with a transparent colour, so contents never shift a pixel across a navigation.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the runs page's own header row moves into the page header

The title, the queue counters, the kind and status filters, the schedule and
future-job switches, the search field and the timeframe picker all ride the band
now, and the page starts at the chart — one row of vertical space back.

The two toggle groups appear from 1500px: below that the bar cannot hold them next
to the search field, and the same filtering is reachable from the search field's own
kind and status chips. The search field is what gives width back, and the breadcrumb
yields last, so a page's own name stays whole while the workspace and fork names
truncate.

The queue counters keep their icon form at every width, since the bar has room for
two counters and never for the two labelled blocks. Their counts hang outside their
icons, so the group carries the margins that keep a badge off its neighbour, and the
suspended counter answers a hover at zero rather than sitting there as a dead icon.

The band is 44px rather than 40, and a page can hand the breadcrumb a hint — the
documentation tooltip that belongs with the page's name rather than with its buttons.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: no border under the page header, and the peek card closes on the way out

The band draws no bottom edge and no page asks it to, so `barBorder` goes with it —
a page that needs the separation draws its own line, as the detail pages now do above
the run form and the tab strip. With nothing toggling a border, the band is a flat
44px on every route.

The detached sidebar's card is a hover affordance, so it leaves when the pointer does:
off the handle and off the card both, on the same debounce a hover menu uses, because
the two do not touch and the leave of one fires before the enter of the other. The
mobile drawer is opened deliberately and still stays until it is dismissed.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: one band, one workspace part, and the pickers that hang off it

The band is a single element whose placement is styled rather than branched: a page
registering a side-panel inset used to swap it between two `{#if}` arms, destroying the
header and rebuilding it a frame later — a blink of no header with the content sliding
up into the gap.

The workspace and its fork become one breadcrumb part: the name leads home (inert in a
session, where the workspace is the session's scope rather than a place to go) and one
chevron opens the picker, which already expands a family to reach its forks. The
picker's panel hangs from the part's left edge, opens with the active family expanded,
and closes before the switch runs — the switch renames the workspace, which moves the
trigger the panel hangs from, and floating-ui was chasing it across the viewport.

The item's path is a plain label rather than a row of pickers: same separators and
weight, and a click copies it with its own confirmation. The kind icon goes, the page
below says what kind it is.

Around them: a "prod" badge for a root workspace, the session's acting fork beside the
session's name rather than in the breadcrumb, the edit-in-dev affordance as a button in
the header, the drafts count as a sentence, and a fade when the workspace changes under
a page that stays mounted.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: keep a page's own controls when the workspace navigation is hidden

`menuHidden` means "this is an embed, don't show the workspace's navigation" — but
Runs, the detail pages and the flow editor now keep their controls in the band and
nowhere else, so hiding it took the filters, the timeframe and the page's buttons with
it. A session's preview iframe opens exactly that way. The band now renders for an
embed too, without its breadcrumb, so the page keeps its controls and the embed still
gains no way to navigate the host's workspace.

The flow editor's autosave indicator moves into the header's actions with the rest of
its bar: saving state, the autosave toggle and other people's drafts were left behind
in the branch the full-page editor no longer takes.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the header carries what it promised, and nothing it does not

The registry's item described pickers the breadcrumb no longer has: nine fields — the
editability flags, the change callbacks, the navigation hook — that nothing read, while
the flow editor passed eight of them and quietly lost its inline rename. The type now
says what the bar does: a path, and either a summary or the page's own control for one.
The flow editor renames through that control, as the detail page already did.

`barPlacement` went the same way: no page registered 'inline', so the layout's guard
never fired.

The sessions page registered an inset of 0 whenever its preview pane never mounted —
the "no session selected" and opted-out arms — and 0 reads as "a page owns the right
edge", floating the band over the page's first line. It registers an inset only once
the pane has a width.

The band's sidebar handle docks through `setDetached` like the card's own toggle, so
docking still suppresses the rail's entry animation and closes the card; a summary
without its breadcrumb no longer leads with a stray separator in an embed; a page's
hint sits with its name whichever way the page named itself; and `Menu.closeInstantly`
and `EditorHeader`'s `inline`/`hideSummary` go, their callers having been replaced.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: a deployed app gets the viewport, and the header waits in the corner

An app is the page, not a page inside Windmill's chrome, so the band leaves the flow
and floats above the viewport until the handle in the app's corner calls it down. The
handle is faded until the pointer nears it, hovering peeks the band over the app, and a
click pins it — one flag for every deployed app, in this browser, because someone who
wants the breadcrumb over a dashboard wants it over the next one too.

Peeking overlays rather than pushes: the app is an iframe, and taking 44px off its box
on every pass of the pointer would re-lay-out whatever it draws. Pinned, the band is in
flow like any other route's and the app starts under it.

The sidebar is untouched — docked stays docked, detached stays a peek — since the pin
is about the header alone. A page says it wants the viewport with one registry field,
so the layout keeps asking the registry rather than knowing about apps.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: one corner control for the chrome an app page hides

Hovering the button overlaid on a deployed app brings back whatever that page is
hiding: the band always, and the sidebar card too when the sidebar is detached. The
card hangs from this button rather than from the header's own handle, which is
off-screen with the band.

The handle in the band no longer attaches the sidebar — it reveals it and nothing more.
A control that hides the thing it sits on cannot also be the way to bring it back, so
attaching stays with the toggle in the sidebar's own footer, where detaching happens.

The band's two buttons go in the order the things nest: the sidebar's handle, then the
header's pin. The overlaid button stands where the pin will be once pinned — same 28px
box, and a slot further along when the sidebar's handle takes the first — so pinning
moves nothing. It wears the panel pair the sidebar's toggle uses: solid while the band
is away, dashed while it is shown.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the access point sits in the corner, and the header covers it

The button is in the page's top-left corner — 8px in, or just past the rail when the
sidebar is docked — rather than shifted along to where the header's pin would land.
Hovering brings the header down over it: an access point that the regular view covers
once it arrives, so there is nothing to line up and nothing to move.

Because the header lands on the button, the pointer leaves it the instant it arrives.
The band holds both itself and the sidebar card open while the pointer is anywhere on
it, or the card would retract under a header that stayed.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: on an app page the floating button owns both, and they move together

The band drops its sidebar handle there: the floating control in the corner reveals the
sidebar along with the band, and two handles for one gesture is one too many. The two
are then linked — the pointer resting on either holds both, and leaving either collapses
both — so they behave as the single thing the one button revealed.

The card meets the header in a line: it hangs from the header's bottom edge rather than
from whichever control opened it, which had it starting a couple of pixels high. With no
header to sit under — an embed — it still hangs from the control that reached for it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the revealed sidebar is a panel under the header, not a card over the page

No rounded corners, no inset from the window: it starts at the header's bottom edge and
runs to the left and bottom edges, with one border down its right side and a shadow to
lift it off the page. A card floating in from nowhere read as a separate thing; this
reads as the sidebar the header sits on top of.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: only an app page gets the flush panel; elsewhere the card still floats

Over an app the sidebar reads as the panel the header sits on — flush left and bottom,
square, one border down its right side. On every other page it is what it was: a card
inset from the window with rounded corners and a border all round.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: an app opens with the header already away

Opening an app showed the header and then slid it out: the page claimed the viewport on
mount, and the band animated from where it had been rendering. The slide belongs to the
hover, not to arriving, so it is armed a frame after the claim — the first hide is a cut.

The claim moves to the route, which mounts before the viewer waiting on the workspace to
resolve. A cold load now paints the band away from the first frame instead of showing a
header that leaves again.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: an app's Edit sits with its name

At the far end of the bar it was a journey across the window from the thing it edits —
on a page whose header is only there while the pointer holds it, a journey with a time
limit. It goes beside the app's path instead.

The slot it uses is the one Runs' documentation tooltip already had, renamed from `hint`
to `afterName` and documented for both: what belongs to the page's name, whether that is
a mark or a control that acts on what the name points at.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: developers collapse, operators detach

One control each, rather than three for everyone. A developer switches the sidebar
between icon-only and full width and never detaches it; an operator, who has no
icon-only rail to collapse to, hides it instead — by the button in its footer or by the
same drag that collapses it for a developer.

The way back survives either way: a detached sidebar keeps its "Show sidebar" button for
anyone, so a developer who detached before this was so is not left with a sidebar they
cannot return.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: configure pipeline triggers and outputs as drafts in the editor

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: one card for pipeline nodes, and the pipeline pages in the page header

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: drop a removed node's trigger drafts, and confirm triggers when leaving

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: show pipeline assets red when unused or awaited but never produced

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: route long pipeline edges around nodes in the target column, and flag scripts waiting on unproduced assets

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: a page is as tall as it is given, not as tall as the screen

The band takes 44px off the top of every route, so a page sized to the
viewport overflows by exactly that much: h-screen inside a column that
already lost the band's height. These pages measure the box they are in
instead.

CenteredModal gains `inPage` for the five pages that render it inside the
layout rather than over it — the same modal, centred in what is left of
the page rather than in the window.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the band narrows, wraps, and draws its own edge

The band publishes its width, so the pages filling it can answer it. Two
tiers: under 1000px the breadcrumb keeps the workspace disc and its env
badge and drops the name, and under PHONE_BAR (800) the trail stops
yielding at 10rem — that floor is what makes the bar wrap, so a page's
buttons take the line below rather than squeezing the name to an ellipsis.

The band also draws the line between itself and the page, and only while
something is scrolled under it. One capture listener on the window sees
every scroller, since most pages scroll inside their own box and never
move the layout's. An inset shadow, not a border: a border would move
every page down a pixel the moment the line appeared.

DetailPageLayout and InWorkspaceAppViewer drew that first line themselves;
two lines would stack, so theirs go.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the script, app, runs and audit pages fill the band

Each of these kept a header of its own above the page. They register with
the band instead: the breadcrumb names what the page is on, and the page's
buttons sit at the far end of the one row.

They answer the band's width rather than the window's, since the buttons
share that row with the breadcrumb. The script editor folds Diff and
Settings into the menu it already shows when compact, the app editor drops
the panel buttons, Awareness and Export and goes icon-only on Deploy and
the mode switch, the flow editor menus its diff, and runs hides its
counters. Runs also declares `actionsFlexible`: its search is the one
control here that can give width back, and a box that refused to shrink
would make it take its maximum instead.

The run detail page loses its ActionRow, and the audit log its big title —
the breadcrumb says where you are, and the page keeps its tooltip.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: one sidebar column, shown as a rail or as a panel

The rail and the drawer held two copies of the same column — the same
sections, in the same order, in two pieces of markup, so a change to one
silently skipped the other. Both now render `sidebarColumn`, and the
shells keep only what differs: the rail its width, resize handle and
collapse button, the panel its outside-click catcher and its transform.

A phone gets that panel rather than a modal. There was a width test
deciding between two presentations; the card under the band's handle works
at any width, so it goes. What is left of the width test is the choice
between a rail and a panel, plus a `(hover: hover)` test — the old
`innerWidth >= 768` was standing in for "has a pointer", which is what
decides whether the panel closes when the pointer leaves it.

With the card everywhere, the backdrop, the `aria-modal` (nothing dims and
nothing traps focus) and the drawer's close cross all go: the band's
handle opens the panel and a tap outside closes it. The burger row goes
with them. Entering panel width now collapses the rail transiently, so
coming back to a wide window does not land on a rail the page was resized
away from.

The band also stops easing its right edge. That transition belongs to the
rail, which moves the band's left; its right follows a splitter the page
owns, and easing it left the band lying over a session's side panel — a
blank strip across that panel's own header for 200ms after every drag.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the home composer flies to the menu that restores it

Removing the composer puts it away rather than throws it out, and the way
back is one item in the band's menu — easy to miss on a page the composer
has just vacated. A mark flies from the control that removed it to that
menu, and the menu answers with one ring as the mark dissolves, so where
it went is witnessed rather than explained.

The cross and the menu item now read "Remove session chat", one name for
one thing whichever a reader reaches for.

Reduced motion skips both.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: give pipeline asset nodes the trigger nodes' background again

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: taller pipeline nodes, with the asset + back on the node's edge

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: judge dbt relations by provenance, keep dynamic_skip on reopen, refresh saved scripts' titles

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: label the pipeline + buttons: add data source, add downstream step on hover

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: name a schedule node's cadence, like "Every day at 12:00"

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: keep the downstream-step pill open while its menu is, without flicker

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: room between pipeline node chips and the node's edge

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: refuse renaming a pipeline draft out of the pipeline's folder

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: title pipeline schedule nodes with the schedule's summary

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* revert: keep operators out of AI sessions

That change is its own PR; this one is about the navigation. `prefersSessionHandoff`
takes the role again and every entry point passes it, the sessions page refuses an
operator arriving by URL, and the layout leaves them on the docked chat.

Two clauses are new rather than restored, because the nav rework is what gives an
operator a sidebar at all: the Workspace/AI Sessions switch and session mode are both
hidden from them, since the page behind them declines. `askAiShown` gains the operator
case for the same reason — they keep the docked pane whatever the beta gate says, so
the sidebar has to offer a way into it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: assets-only view of a pipeline, with producer and trigger chips

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: default schedule handlers, unique trigger draft paths, zoned cadence, valid script names

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: setup banner without icon, button actions, plainer activity rows

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: assets-only trigger chip under the title, editable and selectable

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: await schedule defaults before confirming, refuse colliding trigger renames

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: size assets-only cards to their content

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: pipeline draft sync status beside the folder name in edit mode

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: autosave edits to a deployed pipeline script from the first keystroke

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: show schedule handlers once their defaults load, draft suffix on static chips

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: keep the pipeline folder while the page tears down on leaving

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: discard the open pane's autosaved edits with Discard all

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: pipeline node context menus, add-at-cursor, and assets-only delete

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* style: borderless pipeline cards on the main surface, like flow steps

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: remember which pipelines are in the assets-only view

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: edit an asset's producing script from its pane and multi-script chip

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* style: more room between pipeline layers for the bottom + button

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* style: background on the trigger chip only when it opens an editor

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: assets-only delete in both modes, why it is blocked, and a Show scripts toggle

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: remove the script before its trigger, archive it for non-admins

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: scope assets-only memory by workspace, no delete for operators, flow reason

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* style: fly in the pipeline node menus

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* style: size the Show drafts toggle like the other header buttons

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: a No asset node for scripts that build nothing, in the assets-only view

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: describe a pipeline edge's relationship on hover

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: name assets-only edges by what is built from what

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: open an asset's upstream trigger from its pane header

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: reopen the edit-mode pane when coming back from View

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* style: no red border on errored pipeline nodes

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: Fix actions on misconfigured pipeline nodes, and trigger toggles on edges

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: folded errors and edge toggles in assets-only view, preset writer wizard

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: flag pipeline scripts nothing starts, with schedule/webhook/remove fixes

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: an unwritten subscription is fixed on its script only, by removing it

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: hide subscribed-only unwritten assets, review fixes for the edit pane and edge actions

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: an unwritten subscription is the subscriber's error, not the asset's

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: a script only started by reads of unwritten assets is flagged too

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: no add-downstream + on assets nothing in the workspace writes

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: Save all treats a draft identical to the deployed script as saved

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: remove-from-View opens its dialog, error chip fits, no link to an undrawn asset

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: drag a script's dot onto an asset to subscribe it; unbuilt asset opens its script

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: toggle to hide reads that don't trigger runs in the pipeline graph

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: drag an asset's + onto a script or the canvas; tell reactive assets-only edges apart

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: a programmatic on/mute line joins the existing ones in the header

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: address review — live-version save check, bounded writer lookups, script-only trigger writes, dbt sources, hidden pane

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: review — compare every deployed field, passive-read filter only with its toggle, drag cancel, asset escape hatch

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: keep every control the band took over reachable

Four controls the page-header conversion could put out of reach, each found by a
review pass and reproduced in the browser:

- The flow editor's preview buttons. `topbarWidth` is bound only in the branch a
  full-page editor does not render, so `compactTopbar` was permanently false
  there; below the 800px phone bar `phoneTopbar` dropped the buttons inline and
  the graph overlay never took them, leaving FlowPreviewButtons mounted nowhere
  and step testing, whole-flow testing and "Test flow & record" no-ops through
  optional calls. It now measures the header the way ScriptBuilder and
  AppEditorHeader do, and the inline and overlay conditions are exact
  complements.
- The pin on a deployed app. The band lands over the corner handle that called
  it down, so the pointer that arrives there hits the band. The band carries the
  pin itself now, on the same pixels, in place of the sidebar handle it hides.
- The detached sidebar's own menus. They portal to `body`, so moving into one
  left the card and closed it 200ms later, sliding it out from under the menu
  being read. The card holds while the pointer is in a menu and takes the close
  from the leave of that.
- A deployed app's name for a read-only viewer. The breadcrumb was registered
  behind write access, so without it the trail fell back to the section name
  "Apps"; and the Edit button rode `afterName`, which the band drops for an
  embed along with the trail. The name is registered for whoever opened the app,
  and what sits after it survives `navHidden` as the page's own control.

navPageFor gets a table test: it answers both the sidebar links and the
breadcrumb label, and its longest-prefix and first-segment rules are what made
the "Apps" fallback look like a correct answer.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* docs: drop what the operator revert and this refactor left behind

The operator tour's last step named AI sessions among the pages the sidebar
opens, which operators have no way to reach. The nav handle's comment named the
AI chat layout's menu button as a second way into the card; that button and its
prop are gone, and the corner control on a page that hides the band is what
stands in for the handle now.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* style: prettier the three files this branch left unformatted

`prettier --check` fails on all three at the previous head. Whitespace only,
apart from one Button tag that fits on a line.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: assets-only nodes name their script in a header tab instead of a side chip

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: no loading spinner in the pane while a clicked script loads

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: no subscribe drag dot in view mode

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: opening a draft no longer autosaves; header tab styling, selected edge, taller cards

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* revert: clicking an unbuilt asset opens the asset again, not its script

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: header tab sets card width, edit icons on script header and trigger chip, no pane header shift on open

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: no trash in the pane header; card width ignores the run chip so a click never re-lays the graph

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: taller trigger chip; node menu and guard badge on the card corner, below the header

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: give a page without the band's chrome what the band was carrying

Second review round, three reachable defects plus one decision:

- A public raw app was 150px tall. The bundle's iframe is `h-full`, and dropping
  its `min-h-screen` left nothing to resolve against on the share, embed and
  custom-path routes — none of which has a layout above them. Measured: 150px in
  a 900px viewport. The floor goes back for those routes and stays off inside the
  workspace, where the layout hands a height down and `min-h-screen` would
  overflow it by the band.
- The band retracted out from under its own open menu on a deployed app. Last
  round taught the sidebar card to hold while the pointer is in a portaled menu
  and left its sibling alone, but the band opens menus too — the workspace disc,
  the fork family, every path level. One helper now, used by both closers.
- `bandPeeked` outlived the page it belonged to. Clicking a control in the band
  navigates away, and the next page may not be one the band floats over, so the
  hover handlers that would clear it are gone — leaving the band already down
  when a full-bleed page came back. `beforeNavigate` clears it.
- An embed has no band to carry a control, so the app's Edit floats over the
  canvas there, where it sat before the band existed. Registering it as the
  band's `afterName` under `navHidden` instead would have cost the app 44px of
  the iframe for a row holding one button.

Reading "is the workspace navigation hidden" now has one definition
(`isMenuHidden`), since a page has to answer it too: the flag is sticky inside an
iframe, so the raw query param is the wrong thing to read.

Also inset the band by the rail only when there is a rail — an embed reserved
its width and crowded its own controls into a compact layout early.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: a path that names nothing yet has no breadcrumb leaf

`splitItemPath` documents that it gives up on a path still being typed, but
`f/demo/` is three parts and returned a leaf with an empty name — a blank
segment in the trail. The editor binds the path live, so the breadcrumb sees
every keystroke.

Tested here rather than `navPageFor`'s sort: no two `NAV_PAGES` paths nest, so
the longest-prefix case that test claimed to pin has only one candidate. Renamed
it to what it actually checks.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* style: prettier the four remaining files this branch left unformatted

All four fail `prettier --check` on the branch and pass at the merge base.
`raw_apps/utils.ts` also fails but already did at the base, so it is left alone.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: pipelines open in the assets-only view by default

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: a No asset node per script, banner-only when writes start it; no On asset change chip

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: delete a node's script, trigger, or both from its menu; red header for a script with errors

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: an errored script header stays red when selected

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: coloured run badge border; per-script delete when no combined delete; run button centred on the card

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: Add data source pill sits one small gap above the graph

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: Multiple triggers chip picks the trigger to edit; each folded trigger deletable from the node menu

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: add-step menu labels its path field Path

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: iterate NodeLists with Array.from so svelte-check passes

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: no trigger delete for flow-built assets; Multiple triggers chip shows the one being edited

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: Archive button for archive-only deletes, single delete doc, inert Multiple triggers label in View

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: the raw app editor fills the band like the other three

It was the one editor route still rendering its own bar under the band, so it
showed two header rows and the band named the app "Apps raw" — `navPageFor`'s
first-segment fallback, because nothing on the route registered an item. Its top
bar now becomes the page header the way the script, flow and low-code app
editors' do: the path and summary are the breadcrumb's, the file-sidebar toggle,
autosave cloud, presence mark, menu, Diff, Jobs, export, AI and Deploy are the
header's actions, and the path is a plain label since this editor renames from
its deploy drawer.

The actions render under the band, outside the subtree `RawAppEditor` declares
the operating workspace in, and `OpenInSessionButton` asks that context who the
acting user is — so the workspace travels with them.
`operatingWorkspaceContextEntry()` hands it over without exporting the key.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: keep the folders a half-typed path already names

The trailing-separator guard gave up on `f/demo/` entirely, which dropped the
whole trail to the kind chip and brought `f/demo` back on the first character of
the name. The levels the path does name come back now; only the leaf waits.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: pin holds the first slot, and the nav table says what it shares

Pinning brings the sidebar's handle back, and from behind it the unpin button sat
one slot over from where the pin had just been clicked — so a second click in the
same place opened the sidebar instead. An operator is detached by default, which
makes that the default state of the feature rather than an edge case.

`NAV_PAGES` claimed one table stops a page being called one thing in the nav and
another in the header, which holds for the seven entries the sidebar's main group
is built from and not for the four grouped separately — `/routes` was "Triggers"
in the header and "HTTP" in the nav. The comment now says which is which, and
that entry is named for the page rather than its group.

`sidebarPageAllowed` gets a table test: it decides what an operator sees, and its
`=== true` is what a future `Option`-style default would silently change.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the band names the path Deploy will create, and keeps the summary readable

A brand-new app is parked at a `draft_<uuid>` placeholder, and the band named
that rather than the path its Deploy will create — `newEditedPath` refuses the
placeholder for exactly this reason, and the editor's own bar read it. Both app
editors register it now. Verified: the trail reads `u/admin/gentle_app` while the
URL is still the draft.

The band's summary gets the `title` the editor's own bar had, so one the bar
truncates can still be read on hover.

The wrapper that hid AppExportButton on a phone never hid anything:
the component draws no trigger — it is the export drawer, which portals to
`body` — so the class toggle was inert in both states and the comment read as if
something moved. Dropped from both app editors.

Two comments corrected: `NAV_PAGES`' `icon` does reach the breadcrumb for all
eleven entries (`NavBreadcrumb` renders `routePage.icon`), so only `operatorKey`
goes unread for the four the sidebar groups separately; and the raw editor's
phone note described folding that does not happen — the file-sidebar toggle stays
in the band, Jobs and the export are already in the menu, and AI is what stands
down.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: an item the picker files under no kind keeps its name in the band

The merge brought main's agents detail page, which reaches DetailPageHeader with
no `errorHandlerKind` — and the band's item required one. `WorkspaceItemKindIcon`
falls through to the script glyph for anything it does not know, so defaulting
would have labelled an agent a script; the kind is optional now and the trail
names the item without claiming it is one of the three.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the file sidebar's toggle leaves the band

The band is the workspace's header, not the raw editor's layout controls. ⌘B
still folds the file sidebar, and the editor's own bar keeps the button where it
draws one — a session pane.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the scroll edge stops measuring, and the comments describe the code

The band's edge listener captures every scroller in the app — Monaco, the audit
table, a run's logs — about once a frame while any of them moves, and it took two
`getBoundingClientRect()` reads before looking at `scrollTop`. It now answers from
`scrollTop` first and only measures when that answer differs from what the band
draws, which is the transition rather than the steady state. The rect check still
authorizes every change, so a scroller that does not start at the content's top
still cannot claim the edge.

The two agent routes main just added size themselves to the viewport, which is
44px more than the box the band leaves them. They measure 856 either way — the
layout's `min-h-0` column clamps them — so this is the sweep the rest of the
branch already had, making the height follow the box rather than depend on a
parent's clamp.

Six comments described the conversion rather than the code, which AGENTS.md calls
out by name. Each now states the constraint a reader could break: why the summary
keeps its popover here, why the audit hint is `afterName` and not an action, why a
run registers a `section` rather than an item, why the Runs filters are
`actionsFlexible`.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* Revert "fix: the file sidebar's toggle leaves the band"

This reverts commit 1da8d16740.

A folded file sidebar renders nothing of its own, so the toggle on the bar is the
only way back short of knowing ⌘B.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the editors name their item in the band, and a pen renames it

The band showed each editor's summary as an inline field, which put editing
where the page names what it is working on. The summary is text there now, with
its `title` for one the band truncates, and the pen that opens the path for
editing sits after it — the same popover the editors' own bar carries, at the end
of the name it renames. Every editor already has a field for the summary itself:
the script's settings, the flow's Settings tab, and both app editors' deploy
drawer.

The popover moves into `PathEditPopover` rather than being written out four more
times. It owns the open state and hands back the path as it was when it opened:
the band's trail reads that while the popover is open, so a path growing under
the pointer does not drag the pen — and floating-ui the popover — along with it.
`EditorHeader` renders the same component, so the session pane and the band
cannot drift apart.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the pen renames the item and its summary

The pen opened the path alone, which left the summary with nowhere to be edited
from the band. It carries a Summary field above the path now — the item's name
first, the address it lives at below — and the band's text follows it as the user
types.

`TextInput` with a label rather than the bar's inline field: `EditableInput`'s own
docs rule itself out inside a popover, and it wraps this same input in its edit
mode, so the field, the "Add a summary..." placeholder and the trim on commit are
the behaviour that was there, in the shape the deploy drawer's Summary field
already uses. The keydown stops at the field because every editor binds keys of
its own and a summary is prose.

`summaryEditable` carries the hosts' `customUi.topBar.editableSummary` through,
and the editors' own bar passes it false: that bar keeps its inline field, and
`hidePath` would take the pen with it, leaving a condensed session pane no way to
name the item at all.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the agent editor fills the band too

It was the last editor route drawing its own header row under the band, and the
band named it "Agents" — `navPageFor`'s first-segment fallback, because nothing
on the route registered an item. The agent's path is the breadcrumb now, its
version badge reads after that name, the sentence that was the row's second line
became the hint beside it, and the Chat/Form switch, Settings, Evals, version
history and Deploy are the band's actions.

No trail levels in the registration: this layout opens settings in a drawer and
evals over the page, so unlike the dialog it never stands on a level — `trail` is
its root alone here.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the pipeline page fills the band

Found by sweeping every route under the band: the pipeline editor drew its own
row beneath it, 48px of a second header, while the band named only the section.
Its name is the band's now, the folder it is open on sits with that name — the
switcher is how you change pipelines, so it belongs to the name rather than to
the actions — and the mode switch, deploy-all, activity, refresh and overflow
menu are the bar's actions. The arrow back to the list stays: nothing else on the
page points there, and the sidebar does not list pipelines.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the app canvas controls stay reachable, and an unnamed item says so

Codex found the app editor's canvas controls unreachable on an ordinary laptop:
the owning route collapsed at 1350px, and a 1440 window with the rail out leaves
1232, so the width, theme and breakpoint toggles were hidden with nothing in the
menu to replace them — and the breakpoint is the only way onto the mobile layout.
Measured on the band, the toggles are 240px beside 334 of other actions and a
~430 trail, so they fit to about 1050: the threshold is 1100 now, and below it
each of the three keeps a menu entry rather than disappearing.

An item with no summary read as a bare `·` with an invisible pen after it, since
the plain text replaced a field that had a placeholder. It now reads "Add a
summary..." in the italic SummaryPathDisplay uses for the same state, and the pen
stops hiding when there is nothing to hover.

Three more from the review:
- `actionsFlexible` says "these actions can give width back", which is true of the
  Runs filter row and not of the pipeline's row of fixed buttons.
- `pathSnapshot ?? (newEditedPath || …)` keeps the `||` chain the five rename
  sites read and the declaration documents; `??` had made the rest unreachable,
  since `newEditedPath` is a string that is never undefined.
- The band bridged `contexts` onto the actions alone, while the pen that decides
  whether a path is the caller's to change renders in `summaryContent`. The
  breadcrumb's `afterName` and the summary are bridged the same way now, so that
  permission check reads the tree that registered it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the widest action rows scroll, and the canvas toggles show only where they fit

Measuring the band instead of estimating it: with the canvas toggles shown the
app editor's actions are 826-911px and the trail with the summary another ~500,
so the row overflowed the bar at every width up to about 1470 — the 1100 I set
from an estimate was wrong, and the 1350 before it was too. The toggles come out
at 1500 now, and the menu entries are what keeps all three reachable below that
rather than merely out of the way.

The two widest rows — this editor's and the pipeline's — scroll inside their own
box, which is the escape the rows they replaced had (`overflow-x-auto
whitespace-nowrap`). That answers pi's finding and clears the last 23-40px of
band overflow at middling widths, which predated the conversion. Measured after:
zero horizontal overflow from 852px of bar to 1392.

From the CI round's other findings:
- The pen is offered when either the summary or the path is editable, not the
  path alone: a host that allowed one and refused the other could no longer edit
  the summary from the band. `PathEditPopover` takes `pathEditable` to match, and
  its label names whichever it is given.
- The four editors' comments called the summary read-only, which stopped being
  true when the pen beside it started editing it.
- The pipeline's "centre group" comment described a layout it no longer has.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* docs: actionsFlexible covers both ways a row gives width back

It read as if a search field were the only way to earn it, which stopped being
true when the app and pipeline editors' rows started scrolling inside their own
box. Both are the same bargain — the box may shrink because its contents can —
and the flag is what the bar reads to allow it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: data pipelines in AI sessions (alpha) (#11453)

* feat: pipelines in AI sessions with several folders open at once

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: deploy and discard a session's pipeline edits as one changes-list row

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: pipelines in the chat's listing and the preview picker; session tab shares the page's asset prefetch

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: a masked pipeline preselects only the scripts and triggers of its folder

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: review round — exact pipeline scripts in the fork mask, refuse a failed hand-off flush, deploy guard before awaits

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: review round — failed bundle save fails the deploy, removing a draft records no change

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: a session's pipeline tab opens node details in a modal, as the flow editor does

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: route pipeline graph edges orthogonally with spread ports, separate tracks and lanes

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: pipeline graph edges merge by shared end, enter nodes by the side, keep fewest crossings

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: review round — incremental crossing search and cached routes, retry the leftover draft save, drop the pipeline row when its last draft goes

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: retry the leftover draft save with what failed, never an empty draft

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* revert: pipeline graph edges back to bezier curves, detours curved too

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: hovering a pipeline graph node fades everything outside its lineage

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: hover fade eases edges too, through a stylesheet instead of new node objects

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: gentler hover fade without flicker on click; implied trigger edges recede in the assets-only view

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* docs: pipeline nodes ingest straight into DuckLake or data tables from Python/TS

* fix: pipeline tools callable right after open_preview; write_script refuses pipeline nodes in sessions

* feat: delete a data pipeline from the home list; pipeline rows match item rows

* fix: upward detour edges keep their gutter lane

* fix: pipeline delete takes only its own triggers and discards draft-only nodes by storage key

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: AI attaches trigger drafts to the pipeline nodes that declare them; materialize nodes keep no stale output

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: AI gives every pipeline node a succinct summary

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: session pipeline tools survive another tab taking the panel, reopening the editor on call

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: pipeline trigger lookups skip same-path flows; a failed trigger never hides its built node

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: deleting a pipeline clears it from open sessions so autosave cannot restore it

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: data upload opens on its inputs alone, works in sessions, with a prominent Upload data button

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: closing the pipeline pane closes its modal instead of leaving it blank

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* feat: a DuckLake asset opens on a Data tab with the database manager

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: inputs-only view infers draft inputs, keeps stored lineage, runs the live body

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: lineage follows the editor that inferred it; upload runs preview unsaved edits of deployed nodes

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: readyDataUploadPaths is a ReadonlySet in the pipeline editor

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: selected pipeline nodes get their blue edge in dark mode too

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: no red flash on load while writer lookups and script bodies are in flight

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: deploy an open deployed script's edits, and don't resurrect them after a discard

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* refactor: deploy and discard close the open pane first instead of patching its edits

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: keep the pane closed while deploying, and clear its buffer once its edits are a draft

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: a draft edited while it deploys keeps the newer edits, chained on the new version

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: a draft whose summary or labels changed mid-deploy is kept too

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: the app viewer names the page it owns, and stops claiming the viewport

A deployed app opened in an AI session's preview panel renamed the band from
the session to the app, and put the app's Edit beside the session's name. The
viewer registered wherever it was mounted; it takes `ownsPageHeader` now, the
way the detail pages already did, and keeps Edit over its own canvas otherwise.

Both viewers also claimed the whole viewport under a band that takes 44px of
it, so a deployed app scrolled by exactly the height of its own header (the
low-code one measured 900px in an 856px box). The height comes from the host
now: the three standalone routes floor themselves at the viewport and
everything inside them is `h-full`. A raw app reached through `/app_embed` had
no height above it at all and collapsed to nothing; it fills the frame now,
though that route still fetches no bundle secret, so what it shows is blank —
as it is on main.

The agent editor's pen was a second editor of the same path that reported
nothing: an invalid path never reached the deploy gate the settings drawer's
field reports to. It binds to the same slot now. Two things that surfaced
with it: a rename never reached the trail, which read the deployed path; and
typing the saved path back raised "path already used", since the popover's
`initialPath` moves with the rename — `allowedExistingPath` is what says the
item already occupies it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* refactor: the band's controls come from the design system, and the row has one copy

`NavBreadcrumbTrigger` was `MeltButton` written again — same `use:melt` on a
plain button, same spread — so the workspace chevron uses the component that
already exists, and the sidebar handle is a `Button`.

`DetailPageHeader` carried its action row twice, once for the band and once
for the row it draws inside a session's preview panel, and the two had already
drifted: different dropdown size, no `unifiedSize` on the buttons, and the
deprecated `variant="contained" color="light" size="xs"` on the schedule
button. Both placements render the same two snippets now, at the size each
needs.

`OperatorPageKey` admitted every `operator_settings` field, including the three
write rights, which `sidebarPageAllowed`'s `=== true` rule answers wrongly: a
write right is granted unless withdrawn, so its absence means "never
configured". It is the ten visibility flags now.

A test over the registry's merge: later registration wins field by field,
actions sort by `actionsOrder` then registration, release gives its fields
back. That rule is why a component registering where it is not the page
renames someone else's band.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the band owns its bottom edge, and one pen renames everywhere

The page header decides whether a separator is drawn, so a page cannot draw a
second line under it. A registration asks for `onScroll` (the default, drawn
only while something passes under the bar), `always` for a page whose content
starts right beneath it, or `none` where the page genuinely draws its own first
line. Detail pages, the agent editor, workspace settings and the pipeline list
take `always`; the raw app editor takes `none`, since its splitpanes already
draw that line.

The pen that opens the rename popover becomes PathEditPen, shared by the
editors and the deployed pages so the two cannot drift, and the deployed pages
gain it. SummaryPathDisplay makes the pen the only trigger rather than the whole
name block, so the name is selectable text again. Renaming an agent goes through
ResourceService with only the fields the popover edits: the backend sets a
column per field it is given, so writing the config back would clobber a
concurrent edit. The popover also stops clearing a real collision verdict by
telling Path which path is its own.

Two Button fixes, both reaching call sites beyond this work:

- `dropdownItems` given as a function was asked for `.length`, which is its
  arity and therefore 0, so a split button built that way rendered no caret.
  Both app editors' Deploy dropdowns were unreachable.
- the anchor branch dropped `title`, so a link button had no tooltip.

The audit log filters move into the header actions at the design system's sizes
and trade absolutely positioned labels for the form layout in
brand-guidelines.md: a label above its input, 4px apart, fields 8px apart.

The deployed app viewer floors itself at `min-h-full` instead of claiming the
viewport, which would overhang the page box by the height of the band, and
carries Edit and a public-url link that fold into a menu on a narrow bar. The
root layout drops the legacy menu block, which rendered a second hidden sidebar
and 54 invisible tab stops, and marks the closed detached sidebar `inert`.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: service logs and the audit filters move into the band

Service logs: the page's name is the breadcrumb's, so the `<h1>` is gone and the
search field, the timeframe and the two switches sit in the band beside it, with
the documentation tooltip after the name. ServiceLogsInner registers the band
itself, the way RunsPage does, since that route is its only caller, and the
`title` snippet the page used to hand it goes with the heading.

The search is the widest control there, because searching is what the page is
for, and it is the one that gives width back under pressure. The two switches
fold into a popover below a 1200px bar rather than at a phone's width, so the
field keeps its full width down to a much narrower window — folded rather than
dropped, because the page no longer carries a toolbar they could fall back to.

The timeframe control took no size of its own, so it defaulted to `md` beside a
`sm` field, and sat in a `w-48` box 20px narrower than its content, whose
overflow is visible and so spilled into its neighbours.

No `separator`: the two panes below start under the bar with borders of their
own, so at rest there is nothing for the band to divide.

Audit logs: the filters lose their labels. Each select says what it filters
while unset — "all usernames", "all resources" — and once set the value names
the field by itself. From and To become the TimeframeSelect the runs page uses,
which absorbs the standalone Refresh button, since that control's left half is
the refresh. `auditTimeframes` joins the runs and service-logs presets, with
"All time" first. The bounds stay the filters' own `after`/`before` rather than a
remembered preset label: the timeline's zoom writes them too, and a label could
then contradict the chart.

That takes the row from 1326px to 898px, so it stays inline down to a ~1500px
viewport instead of ~2500. The fold measures the row against the bar less what
the breadcrumb takes, plus a gap the two must never close — the breadcrumb
yields width grudgingly and the row not at all, so sized to just meet they
overlap rather than compress, and mid-resize the tooltip after the page's name
lands on the timeframe button.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: an embedded page keeps its name in the band

A page in a session's preview panel loads in a frame that sets `nomenubar`, so the
layout renders the band with `navHidden`. That flag hid the whole breadcrumb —
which is what carries the page's name — while the actions beside it had no such
guard, leaving a row of controls belonging to nothing.

Hiding the trail is still right: it leads to the host's workspace and offers a
picker that would take the reader out of the session. So the breadcrumb gains a
`nameOnly` mode that drops the workspace part and its picker and keeps the page's
own name, and the band asks for it instead of rendering nothing. The summary line
loses the same guard, so an item in there shows its path and summary.

Only the pages whose own title the band took over are affected. Variables,
Resources, Schedules and Triggers still draw their own `PageHeader` and render no
band when embedded, so nothing is doubled.

The bar's left padding is there to sit a button against — the sidebar handle, or
the workspace disc, both of which carry their own margin. Embedded there is
neither, and the name started as bare text 8px from the edge, so that case takes
the same 16px the bar already keeps on its right.

Workspace settings drops the copy-id button from the band: the General tab names
the workspace ID with a field of its own, which is where someone looks for it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: a session in full screen keeps its tabs in the band

Full screen used to drop the session's name from the breadcrumb and leave the
tab strip inside the panel. The band now carries both: the session's name where
"Sessions" stood, and from the breadcrumb to the right edge one filled surface
holding the tabs and the preview's controls, the bar's full height.

The switch between the two layouts is the panel expanding to the left. The chat
column is resized to nothing rather than unmounted, so it can be seen taking its
place -- and so a toggle no longer tears down every mounted chat and rebuilds it
on the way back. Panes transition their width only while that switch is in
flight, since a splitter drag sets the same inline width and would trail the
pointer.

The band floats over the content in full screen as it already did beside a
panel, so only its right edge moves and the page below never shifts by the
bar's height. Leaving full screen, the panel travels back across ground the
band has already claimed, so it passes one layer above it for the length of the
move: pinned to the width the panel will end at, the bar would otherwise show
through as a white patch over the panel's left edge.

The breadcrumb also gains the acting fork, the way every other page shows it,
which replaces the "Acting on" control the session header carried.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the band's inset survives a resize made in full screen

The panel was remembered as a width, sampled while it stood still. A window
resized during full screen left that width describing a layout that no longer
existed, and the way out pinned the band to it for the length of the move. It
is now remembered as the share of the row the panel takes, which the new row
width turns back into the right inset: leaving full screen at 1200px after
entering it at 1600px, the band starts at 628 rather than at 909.

The pane transition's duration is read from the property the timer is set from,
so the class cannot outlive the movement it describes, and two comments that
described earlier drafts are rewritten: the band's name in full screen comes
from the session's own header once it has mounted, and the tab strip's wrapper
carries a fade, not a measured move.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: an agent's pen keeps the labels the agent already carries

The pen on an agent's page was handed the summary and the path but not the
labels, so the popover offered an empty list over a resource that had some. It
saves every field it shows in one write, and the resource endpoint sets the
column it is given, so adding a label there replaced the agent's own: an agent
labelled `production` and `scheduled` came back from one edit labelled only with
the label just added. A flow's page and a script's page both pass theirs; this
one now does too.

Verified against the running instance: an agent created with
`["production","scheduled"]`, one label added through the pen, reads back
`["production","scheduled","new"]` — and `["new"]` with the prop removed again.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the sidebar remembers detaching per role, not per account

Whether the sidebar starts detached depends on the role: an operator gets it out
of the way, a developer gets it docked. That default held only until the control
was pressed once, because the choice went to a single key read before the role.
From then on both roles wore whichever was pressed last, and the one that had
not asked for it could never get its own default back — switch a workspace where
you are an operator for one where you are a developer, and the sidebar stayed
detached.

Each role now keeps its own choice, and falls back to its own default until it
has one.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* docs: the handle's comment describes what the handle does

It claimed a click holds the sidebar card open. Nothing distinguishes a click
from a hover there — both call the same opener, and the pointer leaving
schedules the close either way — so on a desktop the card follows the pointer
and goes when it goes. Measured: hovering slides the rail from -213 to 5, the
click moves nothing, and the pointer leaving puts it back at -213.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: a dev workspace's badge wears its fork's own colour

Every surface that names a dev workspace drew the same blue badge, which said
nothing about which workspace it belonged to. One component, DevWorkspaceBadge,
now draws it: a fork with a colour fills the badge with that hue and writes the
label in white, and a fork without one keeps whatever its row had before.

The hue cannot carry white at a fixed lightness — HSL lightness is not perceived
brightness, so yellow and purple at the same L differ by several stops — so
forkAccentStyle solves the badge's lightness by bisection instead, taking the
lightest shade of the hue that still holds white at WCAG AA. Measured across the
wheel the contrast lands between 4.52 and 4.64.

The session picker opens with every family collapsed, since the fork a session
runs in is the session's own and not something that picker should offer to
change.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the name is what opens its rename editor, and the trail truncates from its start

The pen beside a name is gone. The name itself is the trigger, with a hover fill
behind it where the click opens an editor rather than going anywhere — the path
segment that only copies keeps no fill, which is what tells the two apart. A bar
with a summary field of its own (EditorHeader's condensed pane) still gets the
pen, since it has no name to hang the trigger on.

Clicking either half of a name opens the editor under that half with the cursor
in the matching field. The band draws the path and the page draws the summary, so
one popover cannot anchor under both: a page hands the band a `pathTrigger`
snippet and the band renders its path segment inside it, passing the classes its
own segment wears. Each editor supplies a second PathEditPopover for it, and
`focusField` names the field to focus — `#path` explicitly, since melt otherwise
lands on the row's first button.

Those snippets render from the band's tree, which outlives the values they read
by a flush, so each is gated on the value it reads. Without that an agent page
whose draft had not loaded threw inside the band and left the breadcrumb empty.

The trail now carries two weights: the segment that ends it is what the page is
about and takes `font-medium text-emphasis`, everything before it is a step
quieter. Which segment that is follows the route — the workspace on home (the
fork alone inside a fork), a list page's own name, an item's summary.

And it truncates instead of switching to icons at a breakpoint. The workspace
part yields first, the family name before the fork, then the path's folders, and
the item's own name last. The bar no longer wraps on a phone: a wrapping row
never squeezes anything, it hands the trail a line of its own and leaves it
whole.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: a page keeps its path segment when it cannot offer a rename

Four things the local reviews caught in the rename work:

A detail page handed the band a `pathTrigger` whether or not it could save one.
Without `onSaved` — every script, flow or agent page the reader cannot write —
`SummaryPathDisplay` fell through to its read-only branch, which ignores the
`label` it was given and draws its own block: the trail lost its path and the
summary appeared twice, two lines deep, in a 44px bar. The page now offers the
trigger only where a rename can be saved, and the component renders what it was
handed rather than its own row.

The band gives up its own segment the moment a page offers a `pathTrigger`, so a
trigger whose own gate is closed left the trail with no path at all — for the
whole of an agent draft's load, not just a flush. Each gated snippet now draws
the path itself in that case.

`openFocus` named the path field as `#path`, which melt resolves with a
document-wide query; `Path` hardcodes that id at every call site, and the
popover is portalled to the body, so it lost document order to any other `Path`
on the page. It is scoped to the popover's own field now.

And `open` was an exported `$bindable(false)` on an optional prop, which the
frontend's own rules ban. No caller bound it, so it is local state.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the badge solves its lightness against the colour the browser paints

Three nits from the review round.

The contrast bisection measured the hue at full float precision, but a browser
paints 8-bit channels: rounding them moved the result up to 0.025 off the target,
which took #993388 to 4.478 against white — under the AA floor the comment
claims. Quantizing the channels inside `paintedLuminance` puts the worst case
across 2880 hue and saturation combinations at 4.500, and your own fork's badge
measures 4.53 as painted.

An agent nobody can write still offered the rename behind its path segment: an
editor with two read-only fields, in place of the click that copies the path.
It is gated on `readOnly` now, the way a detail page is gated on `onSaved`. The
script and flow editors take the same gate from the `customUi` flags that
already decide whether their summary offers one — unreachable today, since the
editors own the band only on routes that pass no `customUi`, but the four
editors now answer the question the same way.

And the registry's doc named an `onEditName` field that has never existed.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: an operator is not offered a fork of a workspace

A fork does not carry the role. The server writes the forker's membership row in
the new workspace from the parent's `is_admin` and lets `operator` fall to its
`false` default, so an operator who forks lands in a full-rights copy of the
workspace they could only run things in.

`canCreateFork` refuses an operator, which takes the entry out of the workspace
picker, the session family picker and the session changes bar;
`editInForkAllowed` refuses one too, so no editor offers "Edit in fork". The
fork page refuses on its own, since a URL reaches it whatever the pickers show.
And a workspace the user is an operator in is no longer a base the fork form
will accept, so the base picker cannot route around the gate.

This hides the affordance; it does not enforce the rule. `create_fork` asks only
for membership — `require_admin` covers the dev-workspace case alone — so the
API still answers an operator who calls it directly. The server-side fix is to
carry `operator` into that membership row, the way the member-copy path already
does, and it belongs in a backend change rather than here.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* style: the fork refusal uses the design system's alert

The refusal panel was hand-built from a div and two paragraphs with literal
colors, copied from the Runs page's own operator refusal. The frontend's rules
say to use the design-system component, and `Alert` already draws exactly this.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: frontend type errors failing npm_check

The dev workspace badge accepts the nullable label the API returns, the
session strip transitions take the node Svelte passes them, and an unused
import is dropped.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* fix: the frontend type-checks again

`check frontend build` has been red on every head for a day, through four review
rounds that each came back clean — none of the reviewers type-check, and they
say so in their own coverage sections. Ten errors:

The dev badge's `label` and `color` were typed `string | undefined`, but the
workspace rows carry `string | null`, so all seven of its call sites failed.
`forkAccentStyle` took the same widening.

A Svelte transition is called with the node it animates, and `stripArrive` and
`stripLeave` were declared with no parameters at all.

And `DevWorkspaceSetting` still imported `Badge` after its badge moved into the
shared component.

`svelte-check` now reports 0 errors. Note that it only agrees with CI once
`src/lib/gen` has been regenerated — the gitignored client goes stale against
main and invents errors CI never sees.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the home bar carries the CLI and hub buttons while it has the room

A menu is where a thing goes when the bar cannot hold it, not where it belongs.
Above 1024px of bar, "CLI / MCP" and "Hub" stand as their own buttons; below it
they fold back into the ellipsis, which is still where they live on a phone.

The threshold reads `pageHeader.barWidth`, not the viewport, so it tracks what
the sidebar actually leaves behind. Home's trail is ~250px and its other
registered actions ~400, so the two labelled buttons fit from about 850 up;
1024 leaves margin before the trail would start truncating, and it does not
truncate at any width between 760 and 1600.

The ellipsis hides itself when it would open an empty menu, which happens only
once both side trips are in the bar and the composer is already on the page.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: a fork's band counts its drafts beside its drift, and every count opens what it names

A fork that had drifted stopped saying anything about its drafts: the banner
printed the draft count only while the fork was in sync, and the drift badges
replaced it the moment there was anything to deploy. A fork can be 86 ahead, 39
behind and holding 128 drafts; it now says so.

All four counts open the page that holds them — ahead the deploy direction,
behind `?dir=update`, conflicts the side they are resolved from before
deploying, drafts the drafts half. The button beside them still chooses a
direction on the reader's behalf; a badge means the one thing it names.

The colours and the icons are the compare page's, so the counts in the bar and
the rows behind them say the same thing the same way: ahead green, behind blue,
conflicts orange. Drafts share blue with behind and are told apart by a pencil
and by naming what they count, rather than by an arrow that would read as a
third direction. Both arrows are straight, here and on the compare page.

"Review changes" replaces "Review & Deploy Changes", and it renders in every
state. What the comparison has to say — still counting, or failed — is a mark
beside the button rather than a branch that replaces it: a fork whose count is
unfinished is exactly when a reader wants the page that counts properly.

The drafts banner outside a fork drops "This workspace has", so the count reads
the same wherever it appears.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the home band keeps its hero's own cross, and the side trips stay quiet

The CLI and hub buttons take the shape the hero gave them before the bar did —
`xs`, hint-coloured, the hub keeping its outbound mark — so a side trip does not
read as loudly as the thing the page is for.

The ellipsis is gone while the hero is on the page: the hero's cross already
puts it away, so a menu whose only item repeats that is a button that does
nothing new. It comes back when it has something of its own to carry, which is
the side trips on a narrow bar and the way back to a hero that has been put
away. That entry is now "Pin session hero to homepage", and "Remove session
chat" survives only as the cross's own words, where one action keeps one name.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: a fork's counts and the way to review them are one control

Four badges beside a button read as four things that happen to sit together.
They are one thing — every segment opens the same page on the part it names — so
they now share a box: one outline, square corners inside it, and the rounding on
the box alone, which means no segment has to know where in the row it sits.

The only rule in the strip is the one before the end cap: everything left of it
is a reading, that is an action.

With room every count says what it counts; below 1280px of bar they keep their
icon and their number, which is the part a reader scans for, and the tooltip
names them either way. The end cap keeps its words at every width — the counts
have icons to fall back on and it has none.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the compare page asks once, says it is working, and knows its own name

The page re-requested the same summaries and on-behalf-of emails forever. Two
faults compounding:

`fetchOnBehalfOfInfo` skipped a key it had already answered with
`onBehalfOfInfo[k] !== undefined`, but stored `undefined` on failure — so
"asked, and there was nothing" could not be told from "never asked". An item
that is only ahead does not exist in the parent, so that side always fails:
a permanently un-cacheable set, re-requested on every pass.

And the effect that drives both fetchers depended on what they write. Each reads
its cache synchronously before its first `await`, which registers that cache as
a dependency; the write that follows re-runs the effect. Write, re-run, write.

Both now record what they asked for in a plain Set, marked before the request
rather than after the answer, and the effect is untracked so it depends on the
comparison alone. The caches are cleared when the compared pair changes, since a
summary's key carries no workspace and those Sets would otherwise never ask
again.

While the comparison was in flight the page printed "No changes between this
workspace and X" — an empty list and an unanswered one look alike from the
layout, and that is a claim with no answer behind it. The page tracks the
request now, and the layout spins instead.

The breadcrumb called the page "Forks", which is what `navPageFor` falls back to
when a route names itself nowhere: the first segment, capitalised. It registers
"Compare" instead — in the page rather than in NAV_PAGES, which is what the
sidebar renders from.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* Revert "feat: a fork's counts and the way to review them are one control"

This reverts commit e4504d2843. The counts go back to separate badges and
"Review changes" to a button of its own.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the compare page follows the fork picked in the trail

Switching a fork from the breadcrumb left the page comparing the pair it opened
with. Two reasons, neither reactive: the page seeds `currentWorkspaceId` from
`?workspace_id` once at mount and never reads it again, and the switch rewrites
`?workspace`, a different param that this page does not read.

It follows `$workspaceStore` now — picking a fork in the trail means comparing
that fork. The param is rewritten so a reload keeps the pair on screen, and an
arbitrary `?target=` is dropped, since it named a destination for the workspace
just left.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: the band is a step taller, and the runs row sizes with it

The bar goes from h-11 to h-12, taken from one constant beside the top
padding a floating band owes the page under it, so the two cannot drift.

The runs page's controls now share the sm height the rest of a header's
actions use: FilterSearchbar learns the size, dropping the top margin
that only centres text at md and taking the shared leading instead, and
sm buttons get px-3 so a label reads as a button. The actions sit in
their own row with a wider gap, and the chart below meets the header
with no gap of its own.

The search field holds one width through typing. As flex-1 it was
whatever the row had left over, so committing a chip grew it from 226 to
288 and took those pixels off the breadcrumb.

A fork's count badges keep their labels while the bar is at least 1280
wide and fall back to icon and number below that.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the trail holds a path's place instead of naming its kind

A page registers its kind when it mounts and its path once it has loaded
one. In between the trail printed "script" or "flow", which reads as the
answer and then jumps when the real path lands. A skeleton of a
plausible path's width holds the place, with aria-busy and a label
naming what is loading.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the compare page reads the workspace it was linked with

The effect that follows the trail's fork also ran on mount, so a
`?workspace_id` that differs from the navigation workspace was thrown
away. That difference is the contract: a session's Review button passes
the fork it committed to and leaves the navigation workspace alone, as
does the prod -> dev link in UpdateDevWorkspaceModal. Both opened on the
sidebar's workspace instead, comparing the wrong pair or none at all.

Only a change in the store now retargets the page, measured against what
it held when the page opened.

The URL rewriting goes with it. The picker's items are links that carry
every other param forward, so their navigation lands after the effect
and put back the `workspace_id` it had just rewritten: switching fork
and reloading left the trail naming one workspace and the page comparing
another. The page reads `?workspace=` ahead of `?workspace_id=` instead
— the param the picker writes and the root layout already applies to the
store — and `?target=` lapses while the page is on another workspace
rather than being deleted from a URL someone else is about to replace.

Two 44px literals left over from the h-11 band: the detached sidebar
card's measured-top fallback and the rail morph's end state, both now
from BAR_HEIGHT_PX beside the class the band wears.

The runs search field keeps its 18rem without growing, but as `shrink-0`
nothing in that row could give width back, so a short bar had no answer
but the trail's truncation and an overlong row would have run past the
edge. `min-w-0` restores the yield without restoring the growth: a flex
item's floor is its min-content width, which the chips inside the field
raise.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the compare page's target picker works, and a switch survives reload

`?target=` was gated on the page still being on the workspace the URL
named. Opened from "Merge into another workspace" in the workspace
settings the URL names no workspace at all, so that comparison was
`<id> === undefined` and the param was ignored for good: picking a
target left the page on the "no parent workspace" prompt, which is the
only place the migration can be started from. Read the param as it was
read before.

The follow effect writes `?workspace=` again. A plain click in the
picker preventDefaults its own link and switches the store directly, so
nothing navigates afterwards and nothing overwrites the write — while
`fixupUrlAfterWorkspaceSwitch` rewrites the param only once it is
already there, which on a page opened with `workspace_id` alone it never
is. Without it, switching fork and reloading left the trail naming one
workspace and the page comparing another.

Exercised on a fork pair: the settings entry's picker loads the
comparison it names, a plain-click switch survives a reload, and a
`workspace_id` deep link still outranks the navigation workspace.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* refactor: the compare page reads its pair instead of following it

Net effect count: three removed, none added.

The page derives the workspace it compares from the URL and the store
rather than keeping it in state and running an effect to follow a
switch. The workspace-switch link is what moves it: the picker's items
carry every param forward, so a page-side rewrite raced that navigation
and lost — the trace showed the fixup's replaceState landing first and
the link's pushState putting the old params straight back. The href now
swaps `workspace_id` alongside `workspace` and drops `target`, and
`fixupUrlAfterWorkspaceSwitch` does the same for the paths that do not
navigate, so both writers agree and the order stops mattering.

Dropping `target` on a switch also closes the case where switching onto
the workspace that was the target left the page comparing it with
itself.

CompareWorkspaces remounts on either side of the pair changing, not just
the target: two forks of one parent shared a mount, since the target is
the parent they have in common, and with it the selection, the deploy
direction, the summaries, the pinned rows, the deploy permissions and
the CI results. The cache-clearing effect that stood in for that is
gone. Its summary loops outlive their mount, so they read the pair once
at the start and stop writing when the instance is destroyed.

The app viewer asked for a public secret on every app view to decide
whether to draw a button; it reads the mode off the app it has already
loaded and fetches the secret when the button is used.

The summary popover seeds its fields on the open transition rather than
from an effect that also read the item: a save landing while it was open
reseeded the fields over what was being typed.

Exercised against a running instance, 18 cases: idle issues nothing, a
switch moves page, trail and URL together and survives a reload, a deep
`workspace_id` link still outranks the navigation workspace, four fast
switches settle with no foreign row, and the migration target picker
loads the pair it names.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the public url opens the tab the click itself opened

The secret is fetched when the button is used, and the tab was opened
once it arrived — after an await, where Safari no longer counts the
click as the gesture that opened it and blocks the popup without saying
so. Open the tab synchronously and point it at the url once the secret
is known, closing it and saying why when there is none.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the public url button survives a sandboxed app

A sandboxed low-code app loads inside the opaque /app_embed iframe, so
`loadApp` never runs on this page and `app` stays undefined — taking the
button and its compact-menu entry with it, for the owner too. The mode
now comes from the lite read that already runs for the Edit button,
which is there for exactly this reason: it is the one description of the
app this page has whether or not the app itself loads here.

Exercised on four apps: anonymous sandboxed low-code, anonymous
unsandboxed low-code and an anonymous raw app all show the button and
fetch the secret only on click; a publisher app shows neither and asks
nothing. At 640px the button folds into the menu, which carries it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* refactor: the removed hero leaves a blue flash on the ellipsis

The mark that flew from the cross to the menu is gone, with its two
element refs, its flight state and timer, and the `data-home-ai-menu`
hook that existed only as its destination. What is left is the thing it
was there to say: the ellipsis holds the way back, so it flashes blue as
it appears.

Written as a keyframe animation, not a transition. A transition needs
the element painted at its start value before the end value is set, and
this mounts in the same flush that collapses the hero, so the frame that
would have shown it at rest is the frame it is already told to leave —
one `requestAnimationFrame` is not reliably past that paint, and the
flash was never drawn at all. `animate-fade-out` already exists for this
(AssetsDropdownButton flashes a background the same way); mounting it
only while pulsing gets a fresh run per removal without that component's
reflow juggling.

The flash rides the ellipsis rather than the row: with the CLI and hub
buttons beside it the row is three controls wide, and marking all three
names none of them.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the flash rests invisible, and its comment describes what is there

`animate-fade-out` carries no fill mode, so at the end of the run the
element returns to its own opacity. At the default 1 that is the flash
coming back at full strength for as long as the unmount timer lags the
animation — which the hero's collapse, happening right there, is well
placed to cause. `opacity-0` at rest makes the revert land on invisible.

The comment above it still described the mark that used to fly to the
menu, and made its point three times over.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the compare page asks only about the pair it is showing

Switching workspace on this page fetched the previous pair's item paths
from the new workspace, where none of them exist: 97 of 174 requests
404ing on one switch. The comparison was plain state, and the card is
remounted when the pair changes — in the same render that changes it,
before the effect that cleared the comparison could run, so the new
mount started from the old pair's diffs. It now carries the pair it
describes and is read only while that matches, which leaves nothing to
clear.

`computeFullScan` had the same shape: it read the target again after its
await, so a switch mid-scan invalidated another pair's cache, named the
wrong workspace in its toast, and left the scan button spinning on a
pair that was never scanned. It captures the pair up front, re-compares
only while the page is still on it, and reports it as its own.

Each diff says which side holds the item, so the summary and
on-behalf-of loops stop asking the side that does not: an item that is
only ahead cannot answer in the parent, and asking was a guaranteed 404
and a console error per one-sided row.

Those two loops also read the same object — a summary and an identity
are fields of one payload — so every row was fetched twice per
workspace. One read per item per workspace now serves both. A failed
read is not kept: held, it would read as "this item has no identity",
which is what decides whether a deploy offers to preserve one, and an
item deployed without it silently becomes the deployer's.

The header names the workspace being compared when that is not the one
the app is pointed at, which is how a session's Review button and the
prod -> dev link open this page. The trail said the parent while the
page compared the fork.

Measured on a 90-item pair, before -> after: a cold load 247 -> 170
requests and 167 -> 90 item reads; a workspace switch 174 requests with
97 404s -> 71 with none. Sixteen cases over cold load, idle, switching
in both directions, four switches with no time to settle, a cross-family
switch, reload, deep link, the migration picker and leaving an arbitrary
target: no request in any of them names a pair the page has left.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: the scan toast reports the pair it scanned

Off the scanned pair the re-compare is skipped, so there is nothing to
report as compared — but the success branch said "Compared N items"
anyway, and the error it checked first belonged to whichever pair the
page had moved to. Each outcome now says what happened: the seed alone
when the page has moved on, and the comparison's result only where one
was asked for.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Guilhem Lemouel <guilhemlemouel@gmail.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Ruben Fiszel <ruben@windmill.dev>
2026-10-08 14:23:29 +02:00

5831 lines
291 KiB
TypeScript

// Auto-generated by generate.py - DO NOT EDIT
export const SCRIPT_BASE = `# Windmill Script Writing Guide
## General Principles
- A script's inputs are its parameters. Credentials and configuration come in as resource-typed parameters, never hard-coded or read from the environment; the language section below shows how that language declares parameters
- Libraries are installed automatically - do not show installation instructions
- In a language with an entrypoint function (TypeScript, Python, Go, Rust, PHP, R, …), name it \`main\` (\`Main\` in C#) and do not call it; in TypeScript it must be async. SQL, GraphQL, Bash, PowerShell and Ansible scripts have no \`main\`: their language section shows how they take arguments
- Where the language has a Windmill client (\`wmill\`), use it to interact with the platform
- A script's input schema may carry a top-level \`prompt_for_ai\` string: its author's instructions to an AI choosing the inputs. Follow it when you pick arguments to run that script, and keep it when you rewrite the schema
## Return Values
- A script can return any JSON-serializable value; a SQL script returns the rows its query produces
- Return values become available to subsequent flow steps via \`results.step_id\`
## Preprocessor Scripts
Preprocessor scripts process raw trigger data from various sources (webhook, custom HTTP route, SQS, WebSocket, Kafka, NATS, MQTT, AMQP, Postgres, GCP Pub/Sub, Azure, or email) before passing it to the flow. This separates the trigger logic from the flow logic and keeps the auto-generated UI clean.
A preprocessor is written in TypeScript or Python: its function is named \`preprocessor\` instead of \`main\`, and it receives a single parameter called \`event\` (the language section gives its type).
The returned object determines the parameter values passed to the flow.
e.g., \`{ b: 1, a: 2 }\` calls the flow with \`a = 2\` and \`b = 1\`, assuming the flow has two inputs called \`a\` and \`b\`.
`;
export const FLOW_BASE = `# Windmill Flow Building Guide
## OpenFlow Schema
The OpenFlow schema (openflow.openapi.yaml) is the source of truth for flow structure. Refer to OPENFLOW_SCHEMA for the complete type definitions.
## Reserved Module IDs
- \`failure\` - Reserved for failure handler module
- \`preprocessor\` - Reserved for preprocessor module
- \`Input\` - Reserved for flow input reference
## Hard Structural Rules
These are strict Windmill schema rules. Follow them exactly.
- \`value.modules\` is only for normal sequential steps
- \`value.preprocessor_module\` and \`value.failure_module\` are special top-level fields inside \`value\`, not entries in \`value.modules\`
- If a flow needs a preprocessor, create \`value.preprocessor_module\` with \`id: preprocessor\`
- If a flow needs a failure handler, create \`value.failure_module\` with \`id: failure\`
- Do NOT create regular modules inside \`value.modules\` named \`preprocessor\` or \`failure\`
- \`preprocessor_module\` and \`failure_module\` only support \`script\` or \`rawscript\`
- \`preprocessor_module\` runs before normal modules and cannot reference \`results.*\`
- \`failure_module\` can use the \`error\` object with \`error.message\`, \`error.step_id\`, \`error.name\`, and \`error.stack\`
- A flow whose \`failure_module\` runs still ends as failed, unless the handler returns an object with \`recover: true\`: the flow then ends as a success. This also holds when the failing step is inside a loop, a branch or a subflow. \`recover\` never changes which steps run; whether a loop or branch carries on past a failure is still decided by its own settings (\`skip_failures\`, \`continue_on_error\`)
Correct shape:
\`\`\`yaml
value:
preprocessor_module:
id: preprocessor
value:
type: rawscript
...
failure_module:
id: failure
value:
type: rawscript
...
modules:
- id: process_event
value:
type: rawscript
...
\`\`\`
Incorrect shape:
\`\`\`yaml
value:
modules:
- id: preprocessor
...
- id: process_event
...
- id: failure
...
\`\`\`
## Module ID Rules
- Must be unique across the entire flow
- Use underscores, not spaces (e.g., \`fetch_data\` not \`fetch data\`)
- Use descriptive names that reflect the step's purpose
## AI Agent Modules
An \`aiagent\` module runs an LLM that can call tools. Each entry of \`value.tools\` is a module-shaped
object with an extra \`value.tool_type\`: \`flowmodule\` for a script/flow tool, \`mcp\` for an MCP server
tool, \`websearch\` for web search.
\`\`\`json
{
"id": "support_agent",
"summary": "AI agent for customer support",
"value": {
"type": "aiagent",
"input_transforms": {
"provider": {
"type": "static",
"value": { "kind": "openai", "resource": "$res:f/ai_providers/openai", "model": "gpt-4o" }
},
"output_type": { "type": "static", "value": "text" },
"user_message": { "type": "javascript", "expr": "flow_input.query" },
"system_prompt": { "type": "static", "value": "You are a helpful assistant." }
},
"tools": [
{
"id": "search_docs",
"summary": "search_documentation",
"description": "Search the product documentation. Use it whenever the user asks how a feature works.",
"value": {
"tool_type": "flowmodule",
"type": "rawscript",
"language": "bun",
"content": "export async function main(query: string) { return ['doc1', 'doc2']; }",
"input_transforms": { "query": { "type": "static", "value": "" } }
}
}
]
}
}
\`\`\`
- \`provider\` is an object, not a bare resource string: \`{ "kind": <provider kind>,
"resource": "$res:<path>", "model": <model id> }\`. Required unless the module links to a saved
agent through \`value.agent\`. Static is right for a flow run from a form; a chat flow wires its
fields to flow inputs instead — see below
### Chat-Mode Flows
A flow with \`value.chat_input_enabled: true\` is run from a chat instead of a form: the composer
sends one message per turn and renders the conversation. It needs a required \`user_message\` string
input, read by the agent. Any other flow input the composer does not edit itself is asked for
under Configure inputs.
**A static \`provider\` gives a chat that cannot change its model.** Feed it from flow inputs
instead, either way round: one input carrying the whole object (\`"expr": "flow_input.model_config"\`)
makes every field editable, or wire it field by field to fix some and expose others. A field the
chat can write becomes a control in the composer — a provider picker, a model list, a thinking
control — and a field left static is fixed, with no control drawn for it. \`kind\` is the one
exception: the composer writes it only together with \`resource\`, since a provider is picked as a
pair, so a \`kind\` input wired on its own stays askable under Configure inputs and nothing the run
needs becomes unreachable.
\`\`\`json
{
"id": "chat_agent",
"value": {
"type": "aiagent",
"input_transforms": {
"provider": {
"type": "javascript",
"expr": "({ kind: 'anthropic', resource: '$res:f/ai/claude', model: flow_input.model, reasoning_effort: flow_input.thinking })"
},
"user_message": { "type": "javascript", "expr": "flow_input.user_message" },
"user_attachments": { "type": "javascript", "expr": "flow_input.files" },
"memory": { "type": "static", "value": { "kind": "compaction" } },
"streaming": { "type": "static", "value": true },
"output_type": { "type": "static", "value": "text" }
},
"tools": []
}
}
\`\`\`
- Wiring field by field means one object literal whose values are literals or bare \`flow_input.x\`
references. A spread, a call or a computed key leaves the composer unable to tell which input
feeds which field, so it offers no control at all — a bare \`flow_input.x\` for the whole object
is read instead as that one input carrying every field
- \`memory\` is what lets the agent see earlier turns; without it every message starts from nothing
- \`streaming\` on makes the answer and its thinking appear token by token instead of all at once
- \`user_attachments\` points at a flow input typed as an array of s3 objects
(\`{ "type": "array", "items": { "type": "object", "resourceType": "s3object" } }\`), so files
sent with a message reach the agent
- Running one needs a \`memory_id\` **query parameter** — not a flow argument — naming the
conversation the turn belongs to: a fresh UUID starts one, reusing a UUID continues it. The chat
supplies it itself; a run driven any other way has to pass it or the server refuses the job
### Tool Naming Rules
These rules cover \`flowmodule\` tools, the ones the agent calls by name. A \`websearch\` tool's
\`summary\` is a plain label (\`Web Search\`), and an \`mcp\` tool exposes the MCP server's own tool
names, so neither is name-checked at all — leave those summaries as they are.
- A flowmodule tool's \`summary\` is the **name the agent calls it by**, not a human label. Put the
human-readable explanation in \`description\`
- \`summary\` must match \`^[a-zA-Z0-9_]+$\`: letters, numbers and underscores only. No spaces, dashes,
dots or accents — \`search_documentation\`, never \`Search documentation\`
- Always set \`summary\`. It must be unique among that agent's tools, and must not be one of the
reserved ids (\`do\`, \`bg\`, \`ctx\`, \`state\`, \`if\`, \`else\`, \`for\`, \`delete\`, \`while\`, \`new\`, \`in\`,
\`failure\`, \`preprocessor\`, \`as\`, \`Input\`, \`Result\`, \`Trigger\`)
- A tool name outside that character set fails any run that offers the tool to the agent, with \`Invalid tool name\`.
The flow write tools refuse such a name.
- Tool \`id\` follows the same rules as any module ID — unique across the flow, underscores not spaces
- \`description\` is optional free text telling the agent when and how to call the tool. Set it
whenever the name alone does not make that obvious; it overrides the description derived from the
underlying script
## AI Decision Modules
An \`aidecision\` module asks a decision model (TypeSafe's Jev, Cloudflare's Clef or OpenAI's Decisions API) typed questions about a \`state\` and
answers each with calibrated probabilities instead of text. Prefer it over an \`aiagent\` when the step
is a judgment (classify, route, score or a yes/no check) that needs no tools and no free text: it
is faster, cheaper, and its answers have a fixed shape.
\`\`\`json
{
"id": "triage",
"summary": "Classify the ticket",
"value": {
"type": "aidecision",
"input_transforms": {
"provider": {
"type": "static",
"value": { "kind": "typesafe", "resource": "$res:f/ai/typesafe", "model": "jev-latest" }
},
"state": { "type": "javascript", "expr": "flow_input.message" },
"questions": {
"type": "static",
"value": {
"intent": {
"type": "choice",
"instructions": "What does the customer want?",
"criteria": { "refund": "Money back", "bug": "Something is broken", "other": "Anything else" }
},
"urgency": {
"type": "score",
"instructions": "How urgent is the ticket?",
"criteria": ["Can wait", "This week", "Today", "Right now"]
},
"angry": { "type": "noul", "instructions": "Is the customer angry?" }
}
}
}
}
}
\`\`\`
- \`provider.kind\` is \`typesafe\` (\`model\` \`jev-latest\` unless a version is pinned), \`cloudflare\`
(\`model\` \`clef\`, or \`clef-flash\` for faster answers) or \`openai\` (\`model\` \`gpt-6-luna\`, never a
chat model); the resource is of that same type
- \`state\` is the content to evaluate: usually a text, such as the message to classify. To combine
several values, pass an object with descriptive keys holding only what the questions need
(\`({ message: flow_input.message, plan: results.get_account.plan })\`); an array of strings also works
- \`questions\` maps each question name to \`{ type, instructions, criteria }\`:
- \`choice\`: \`criteria\` maps each option to its description (up to 255 options). The answer has
\`choice\`, \`probabilities\` and \`confidence\`
- \`score\`: \`criteria\` is an ordered array of 2 to 10 level descriptions. The answer has \`score\`,
\`legend\`, \`probabilities\` and \`confidence\`
- \`noul\`: yes/no, \`criteria\` optionally \`{ "true": ..., "false": ... }\` descriptions. The answer has
\`noul\`, the probability of yes from 0 to 1
- The result is \`{ output, model, usage }\` with \`output\` keyed by question name, so a later step
reads \`results.triage.output.intent.choice\`, \`results.triage.output.urgency.score\` or
\`results.triage.output.angry.noul > 0.7\`
- On \`openai\` the same \`questions\` are translated for its Decisions API and the answers read the
same way (\`choice\`, \`score\`, \`noul\`), except that \`probabilities\` is a list of
\`{ value, probability }\` (plus \`label\` on a score) and a score has no \`legend\`. A question OpenAI
refuses to answer fails the step. A \`state\` that is
an array of user messages (\`[{ role: "user", content: [{ type: "input_text", text }, { type: "input_image", image_url: "data:image/png;base64,..." }] }]\`)
is sent as is, which is how an image is evaluated; any other object or array is sent as JSON text
### Branching on the Answers
To route on the answers, put a \`branchone\` right after the decision, one branch per option, with
each \`expr\` reading the decision by id:
\`\`\`json
{
"id": "route",
"value": {
"type": "branchone",
"branches": [
{ "summary": "refund", "expr": "results.triage.output.intent.choice === 'refund'", "modules": [...] },
{ "summary": "bug", "expr": "results.triage.output.intent.choice === 'bug'", "modules": [...] }
],
"default": [...]
}
}
\`\`\`
For a yes/no question, one branch with \`"expr": "results.triage.output.angry.noul >= 0.5"\` (tune the
threshold as needed) and the \`default\` as the "no" path.
### As an Agent Tool
An \`aidecision\` can be a \`flowmodule\` tool of an \`aiagent\` (\`"tool_type": "flowmodule", "type":
"aidecision"\`): set \`state\` to \`{ "type": "ai" }\` so the calling model supplies it, and only \`output\`
goes back to the model. The Tool Naming Rules apply to its \`summary\`. Only a flow's own agent step
can call one, not an agent used as a tool.
## Common Mistakes to Avoid
- Missing \`input_transforms\` - Rawscript parameters won't receive values without them
- Referencing future steps - \`results.step_id\` only works for steps that execute before the current one
- Duplicate module IDs - Each module ID must be unique in the flow
- AI agent flowmodule tool names with spaces - \`summary\` is the tool name and only accepts letters, numbers and underscores
## Data Flow Between Steps
- \`flow_input.property\` - Access flow input parameters
- \`results.step_id\` - Access output from a previous step only when that step result is in scope
- \`results.step_id.property\` - Access specific property from a previous step output only when that step result is in scope
- \`flow_input.iter.value\` - Current iteration value inside a \`forloopflow\`; in a \`whileloopflow\` it is just the iteration index (a plain number, same as \`flow_input.iter.index\`)
- \`flow_input.iter.index\` - Current loop index when inside a loop (\`forloopflow\` or \`whileloopflow\`)
- After a suspend step (approval), the next step's javascript expressions also get:
- \`resume\` - the last resume payload (the resume form values); with \`continue_on_disapprove_timeout\`, a disapproval or timeout yields \`{ error: { name: "SuspendedDisapproved" | "SuspendedTimedOut", message } }\` instead
- \`resumes\` - every resume payload, in arrival order
- \`approvers\` - a plain array of strings, one per resume: for a resume through the \`resume\`/\`cancel\` URL from \`getResumeUrls(approver)\`, the \`approver\` passed there if any; otherwise (including the \`approvalPage\` link) the resuming user's username, else \`"anonymous"\`, e.g. \`approvers[0]\`. It is NOT the \`{ resume_id, approver }\` objects stored in the flow status, so \`approvers[0].approver\` is always undefined
## Loop Structure Rules
- A \`forloopflow\` runs its \`modules\` once per element of \`iterator\`, a javascript expression returning an array (e.g. \`results.get_items\`); \`parallel: true\` runs the iterations concurrently, and \`skip_failures: true\` carries on past a failed iteration
- For \`whileloopflow\`, break the loop with a module-level \`stop_after_if\`: on the loop module itself, or on an inner step (required when that step carries state via its own \`results\` — see below)
- \`stop_after_if\` is always a sibling of \`id\` and \`value\` on a flow module — never a direct key of the loop's \`value\` object
- \`stop_after_all_iters_if\` is for checks after the whole loop finishes, not the normal per-iteration break condition
- \`stop_after_if\` is evaluated after each iteration: on the loop module, \`result\` is that iteration's result (what its last step returned); on an inner step, it is that step's result
- \`flow_input.iter.value\` in a \`whileloopflow\` is just the iteration index (same number as \`flow_input.iter.index\`) — it never carries state, so \`flow_input.iter.value.<field>\` is always undefined and a loop whose stop condition depends on it never terminates
- To carry state across iterations, a step reads its own previous-iteration result via \`results.<its_own_id>\` with a first-iteration fallback (e.g. \`results.b ?? flow_input.start\`) — but then the loop's \`stop_after_if\` MUST sit on that inner step, not on the loop module: a body that is exactly one plain step with the stop condition on the loop module runs on a fast path where \`results.<step_id>\` is null on every iteration and the loop never terminates (bodies with 2+ steps, or whose single step has its own \`stop_after_if\`, retry or similar, resolve \`results\` across iterations regardless of stop placement)
- For state that is just a counter, derive it from the index instead (e.g. \`flow_input.iter.index + 1\`) — that works in every configuration, including with \`stop_after_if\` on the loop module
- If the user asks for a final scalar/object after a loop, add a normal step after the loop that extracts the final value from the loop result instead of returning the whole loop result array
Correct \`whileloopflow\` shape:
\`\`\`yaml
- id: loop_until_done
stop_after_if:
expr: result.done === true
skip_if_stopped: false
value:
type: whileloopflow
skip_failures: false
modules:
- id: advance_state
value:
type: rawscript
input_transforms:
count:
type: javascript
expr: flow_input.iter.index + 1
- id: return_final_state
value:
type: rawscript
input_transforms:
final_state:
type: javascript
expr: results.loop_until_done[results.loop_until_done.length - 1]
\`\`\`
Correct \`whileloopflow\` shape carrying state via \`results\` (stop condition on the inner step):
\`\`\`yaml
- id: loop_until_done
value:
type: whileloopflow
skip_failures: false
modules:
- id: advance_state
stop_after_if:
expr: result.done === true
skip_if_stopped: false
value:
type: rawscript
input_transforms:
state:
type: javascript
expr: results.advance_state ?? flow_input.initial_state
\`\`\`
Incorrect \`whileloopflow\` patterns:
\`\`\`yaml
- id: loop_until_done
value:
type: whileloopflow
stop_after_if:
expr: result.done === true
\`\`\`
\`\`\`yaml
input_transforms:
state:
type: javascript
# iter.value is a number (the iteration index); there is no previous-iteration state
expr: flow_input.iter.value.count
\`\`\`
\`\`\`yaml
input_transforms:
final_state:
type: javascript
expr: results.loop_until_done
\`\`\`
## Approval / Suspend Structure
An approval step is a normal **script** step (\`type: rawscript\` or \`type: script\`) that is turned into an approval by adding a module-level \`suspend\`. Its script calls \`wmill.getResumeUrls(approver)\` to generate the secret resume/cancel URLs and returns them so they can be sent to the approver(s) (Slack, email, etc.) or approved from the run page.
- \`suspend\` belongs on the flow module object itself, as a sibling of \`id\` and \`value\`
- Never put \`suspend\` inside \`value\`
- Do NOT use \`type: identity\` for an approval step. An identity step suspends but never produces the resume URLs, so approvers have no link to act on — it is not a functional approval.
Correct shape:
\`\`\`yaml
- id: request_approval
suspend:
required_events: 1
resume_form:
schema:
type: object
properties:
comment:
type: string
required: [comment]
value:
type: rawscript
language: bun
input_transforms:
approver:
type: static
value: ''
content: |
import * as wmill from "windmill-client"
export async function main(approver?: string) {
const urls = await wmill.getResumeUrls(approver)
// send urls.resume / urls.cancel to the approver(s), e.g. via Slack or email
return urls
}
\`\`\`
Incorrect shape (suspend misplaced inside \`value\`):
\`\`\`yaml
- id: request_approval
value:
type: rawscript
suspend:
required_events: 1
\`\`\`
Incorrect shape (identity has no resume URLs — not a real approval):
\`\`\`yaml
- id: request_approval
suspend:
required_events: 1
value:
type: identity
\`\`\`
## Branch Result Scope Rules
- A \`branchone\` runs the first of its \`branches\` whose \`expr\` is true, in order, and its \`default\` modules when none is; a \`branchall\` runs every branch (concurrently with \`parallel: true\`)
- Inside a branch, you may reference earlier outer steps and earlier steps in the same branch
- Outside a \`branchone\`, do NOT reference ids of steps that only exist inside its branches or default branch. Use \`results.<branchone_module_id>\` instead
- Outside a \`branchall\`, do NOT reference ids of steps inside its branches. Use \`results.<branchall_module_id>\` instead
- If downstream steps need a stable shape after a branch, make each branch return the same fields
- When needed, add a normalization step immediately after the branch and consume \`results.<branch_module_id>\` there
Correct after \`branchone\`:
\`\`\`yaml
- id: route_order
value:
type: branchone
...
- id: send_confirmation
value:
input_transforms:
routed:
type: javascript
expr: results.route_order
\`\`\`
Incorrect after \`branchone\`:
\`\`\`yaml
expr: results.create_shipment
expr: results.create_backorder
\`\`\`
Correct after \`branchall\`:
\`\`\`yaml
- id: enrich_parallel
value:
type: branchall
parallel: true
...
- id: combine_data
value:
input_transforms:
enrichments:
type: javascript
expr: results.enrich_parallel
\`\`\`
## Input Transforms
Every rawscript module needs \`input_transforms\` to map function parameters to values:
Static transform (fixed value):
{"param_name": {"type": "static", "value": "fixed_string"}}
JavaScript transform (dynamic expression):
{"param_name": {"type": "javascript", "expr": "results.previous_step.data"}}
## Resource References
- For flow inputs: Use type \`"object"\` with format \`"resource-{type}"\` (e.g., \`"resource-postgresql"\`)
- For step inputs: Use static value \`"$res:path/to/resource"\`
## Reusing Existing Scripts and Flows
Unless the user asked for new code, look for a workspace script or flow that already does a step's job before writing it, and reuse it by path instead of copying its logic into a rawscript:
- a workspace script: \`type: script\` with \`path\` (e.g. \`f/folder/send_email\`)
- a workspace flow, run as a subflow: \`type: flow\` with \`path\`
- a Hub script: \`type: script\` with a \`hub/<version>/<app>/<name>\` path
The step's \`input_transforms\` must cover the reused item's inputs, so read its input schema first.
## Additional Prompt for AI
A flow's input schema may carry a top-level \`prompt_for_ai\` string, as a script's can: its author's instructions to an AI choosing the inputs. Follow it when you pick arguments to run that flow, and keep it when you rewrite the schema.
## Organizing Flows: Groups and Notes
Groups and notes shape how a flow reads in the editor; neither changes what it does.
**Segment every non-trivial flow into groups without waiting to be asked.** Whenever a flow has more than a couple of steps, or consecutive steps form a stage ("fetch", "transform", "notify"), put them in a group, and aim for every meaningful step to belong to one. Use notes sparingly, for flow-wide information that belongs to no span of steps: the flow's purpose, key assumptions, warnings, TODOs. One note is usually enough; never label a run of steps with a note, which is what a group is for.
\`value.groups\` lists the groups, each spanning the steps from \`start_id\` to \`end_id\`:
- \`start_id\`, \`end_id\` (required): ids of the group's first and last step; the same id for both makes a one-step group
- \`summary\`: the group's title
- \`note\`: markdown shown under the title
- \`color\`: one of \`yellow\`, \`blue\`, \`green\`, \`purple\`, \`pink\`, \`orange\`, \`red\`, \`cyan\`, \`lime\`, \`gray\`, never a hex code or CSS color; leave it out and the editor picks one
- \`autocollapse\`: \`true\` shows the group collapsed by default
The editor refuses to draw a flow whose groups break any of these rules:
- \`start_id\` and \`end_id\` are steps of the same list: both top-level, or both in the same loop body or branch. A group can hold a loop or branch step whole, but cannot start outside one and end inside it
- \`start_id\` does not come after \`end_id\` in that list
- groups nest (one entirely inside another) but never partly overlap, and no two groups share both \`start_id\` and \`end_id\`
- groups hold ordinary steps only: never \`preprocessor\`, \`failure\`, \`Input\`, \`Result\`, \`Trigger\`, or an AI agent's tools
\`value.notes\` lists sticky notes, each with a unique \`id\`, markdown \`text\`, a \`color\` from the same list, and \`type: free\`. The \`group\` note type is deprecated; use \`value.groups\` instead.
Leave a note's \`position\` and \`size\` out and they are filled in for you.
## Final Structural Self-Check
Before finalizing a flow, verify:
- any preprocessor is in \`value.preprocessor_module\`
- any failure handler is in \`value.failure_module\`
- any approval step has module-level \`suspend\`
- no downstream step references inner branch step ids from outside the branch
- every AI agent flowmodule tool has a unique \`summary\` made only of letters, numbers and underscores
- every group starts and ends on steps of the same list, start before end, nesting without partial overlap
## S3 Object Operations
Windmill provides built-in support for S3-compatible storage operations.
To accept an S3 object as flow input:
\`\`\`json
{
"type": "object",
"properties": {
"file": {
"type": "object",
"format": "resource-s3_object",
"description": "File to process"
}
}
}
\`\`\`
## Using Resources in Flows
On Windmill, credentials and configuration are stored in resources. Resource types define the format of the resource.
### As Flow Input
In the flow schema, set the property type to \`"object"\` with format \`"resource-{type}"\`:
\`\`\`json
{
"type": "object",
"properties": {
"database": {
"type": "object",
"format": "resource-postgresql",
"description": "Database connection"
}
}
}
\`\`\`
### As Step Input (Static Reference)
Reference a specific resource using \`$res:\` prefix:
\`\`\`json
{
"database": {
"type": "static",
"value": "$res:f/folder/my_database"
}
}
\`\`\`
`;
export const RESOURCES_BASE = `# Windmill Resources
Resources store credentials and configuration for external services.
## Resource Structure
\`\`\`json
{
"value": {
"host": "db.example.com",
"port": 5432,
"user": "admin",
"password": "$var:g/all/db_password",
"dbname": "production"
},
"description": "Production PostgreSQL database",
"resource_type": "postgresql"
}
\`\`\`
## Required Fields
- \`value\` - Object containing the resource configuration
- \`resource_type\` - Name of the resource type (e.g., "postgresql", "slack")
## Variable References
Reference variables in resource values:
\`\`\`json
{
"value": {
"api_key": "$var:g/all/api_key",
"secret": "$var:u/admin/secret"
}
}
\`\`\`
**Reference formats:**
- \`$var:g/all/name\` - Global variable
- \`$var:u/username/name\` - User variable
- \`$var:f/folder/name\` - Folder variable
## Secrets
Never put a secret (password, API key, token) inline in a resource value. Store it in a secret variable and reference that variable as \`$var:<path>\`.
- \`$var:<path>\` is a reference, not a value: it resolves to the variable's value at run time. Never invent a value for a variable.
- A resource that references a variable needs the variable to exist first, so create or deploy the variable before the resource.
## Resource References
Reference other resources:
\`\`\`json
{
"value": {
"database": "$res:f/databases/postgres"
}
}
\`\`\`
## Passing a Resource or Variable as a Run Argument
A script or flow argument typed as a resource (schema \`format: resource-<type>\`) is passed as
the **bare string** \`$res:<path>\` — the whole argument value. Same for a variable, with
\`$var:<path>\`. This applies everywhere job arguments are supplied: \`wmill script run/preview\`,
\`wmill flow run/preview\`, the \`runScriptByPath\` / \`runFlowByPath\` API, a schedule's \`args\`, a
trigger's configured static args.
\`\`\`json
{
"db": "$res:f/databases/postgres_prod",
"api_token": "$var:g/all/api_token"
}
\`\`\`
The reference is resolved when the job runs, under the job's run-as identity — the caller for an
ordinary run, but the configured principal for a schedule, a trigger, or a runnable set to run on
behalf of someone else. The run fails if that identity cannot read the referenced resource or
variable.
**Never wrap it in an object.** The resolver only rewrites a JSON value that *is* a string
starting with \`$res:\` / \`$var:\`; keys are never inspected. These are all wrong and are passed
through to the script unchanged:
\`\`\`json
{ "db": { "$res": "f/databases/postgres_prod" } }
{ "db": { "resource": "f/databases/postgres_prod" } }
{ "db": "f/databases/postgres_prod" }
\`\`\`
The string may sit anywhere a string can — a top-level argument, a nested object field
(\`{ "gh_auth": { "token": "$var:g/all/gh_token" } }\`), or an array element (array elements are
walked only while nested at most two levels deep, and only for arrays of at most 1000 items).
The prefix must be on the string itself.
## Common Resource Types
### PostgreSQL
\`\`\`json
{
"resource_type": "postgresql",
"value": {
"host": "localhost",
"port": 5432,
"user": "postgres",
"password": "$var:g/all/pg_password",
"dbname": "windmill",
"sslmode": "prefer"
}
}
\`\`\`
### MySQL
\`\`\`json
{
"resource_type": "mysql",
"value": {
"host": "localhost",
"port": 3306,
"user": "root",
"password": "$var:g/all/mysql_password",
"database": "myapp"
}
}
\`\`\`
### Slack
\`\`\`json
{
"resource_type": "slack",
"value": {
"token": "$var:g/all/slack_token"
}
}
\`\`\`
### AWS S3
\`\`\`json
{
"resource_type": "s3",
"value": {
"bucket": "my-bucket",
"region": "us-east-1",
"accessKeyId": "$var:g/all/aws_access_key",
"secretAccessKey": "$var:g/all/aws_secret_key"
}
}
\`\`\`
### HTTP/API
\`\`\`json
{
"resource_type": "http",
"value": {
"baseUrl": "https://api.example.com",
"headers": {
"Authorization": "Bearer $var:g/all/api_token"
}
}
}
\`\`\`
### Kafka
\`\`\`json
{
"resource_type": "kafka",
"value": {
"brokers": "broker1:9092,broker2:9092",
"sasl_mechanism": "PLAIN",
"security_protocol": "SASL_SSL",
"username": "$var:g/all/kafka_user",
"password": "$var:g/all/kafka_password"
}
}
\`\`\`
### NATS
\`\`\`json
{
"resource_type": "nats",
"value": {
"servers": ["nats://localhost:4222"],
"user": "$var:g/all/nats_user",
"password": "$var:g/all/nats_password"
}
}
\`\`\`
### MQTT
\`\`\`json
{
"resource_type": "mqtt",
"value": {
"host": "mqtt.example.com",
"port": 8883,
"username": "$var:g/all/mqtt_user",
"password": "$var:g/all/mqtt_password",
"tls": true
}
}
\`\`\`
## Custom Resource Types
Create custom resource types with JSON Schema:
\`\`\`json
{
"name": "custom_api",
"schema": {
"type": "object",
"properties": {
"base_url": {"type": "string", "format": "uri"},
"api_key": {"type": "string"},
"timeout": {"type": "integer", "default": 30}
},
"required": ["base_url", "api_key"]
},
"description": "Custom API connection"
}
\`\`\`
Save as: \`custom_api.resource-type.json\`
## OAuth Resources
OAuth resources are managed through the Windmill UI and marked:
\`\`\`json
{
"is_oauth": true,
"account": 123
}
\`\`\`
OAuth tokens are automatically refreshed by Windmill.
## Using Resources in Scripts
### TypeScript (Bun/Deno)
\`\`\`typescript
export async function main(db: RT.Postgresql) {
// db contains the resource values
const { host, port, user, password, dbname } = db;
}
\`\`\`
### Python
\`\`\`python
class postgresql(TypedDict):
host: str
port: int
user: str
password: str
dbname: str
def main(db: postgresql):
# db contains the resource values
pass
\`\`\`
`;
export const RAW_APP_BASE = `# Windmill Raw Apps
Raw apps let you build custom frontends with React, Svelte, or Vue that connect to Windmill backend runnables and datatables.
## App shape
A raw app has three logical parts:
- **Frontend** — bundled with esbuild from \`index.tsx\` as the entrypoint. Files include the entrypoint, components (\`App.tsx\`), styles, etc.
- **Backend runnables** — server-side scripts the frontend calls, each addressed by a unique key.
- **Data** — optional whitelisted datatables (managed PostgreSQL) that the backend runnables can query. The frontend never queries the database directly; backend runnables are the only bridge.
## Starting a new app
A new app gets the setup Windmill's own new-app dialog gives one: a framework, then where its data lives.
### Framework
Use the framework the user named. When they named none, follow what there is to follow: the app being edited, or the apps the request points at. With nothing to follow, use **React 19**, the recommended default, **without asking**. React 18, Svelte 5 and Vue are for when they are asked for.
### Data setup
When a new app has to store data and the user did not say where, **ask before creating anything**: no app, no schema, no table. Where the data lives is the user's decision, and tables created in the wrong place stay there. Look up the workspace's data tables first so every choice you offer exists, then ask, as proposed answers rather than open questions:
1. **Data table**: which one to use, the default first (\`main\` when it exists, otherwise the first listed). Skip this one when the workspace has a single data table.
2. **Schema**: where the app's new tables go.
- A **new schema**, the usual choice, offered first. Suggest the first unused name among \`app1\`, \`app2\`, …
- An **existing schema** of that data table, by name.
- **None**: the tables go in \`public\`.
3. **Tables**: only when that data table already holds tables the app could use, whether to **reuse** them (name them) or **create new ones**.
Do not ask when:
- the user already said where the data goes. A part they left out takes its default above: the default data table, a new \`appN\` schema, new tables;
- the app, or its saved draft, already carries a data config (\`data.datatable\`, \`data.schema\` or \`data.tables\`). That config is the answer;
- the app stores nothing.
With no data table in the workspace there is nothing to choose: say that one has to be configured in the workspace settings before the app can store data.
A question left unanswered or dismissed is not a go-ahead for the defaults: stop there and say what is still needed.
Then build what was chosen: the data table and schema become the app's \`data.datatable\` and \`data.schema\`, the tables it uses, reused or new, go in \`data.tables\`, and a new schema is created (\`CREATE SCHEMA IF NOT EXISTS\`) before the tables that go in it.
### An app that arrives already set up
An app the user just started from the new-app dialog is already set up: its files are the framework template it was started with, and a \`data\` config it carries (\`data.datatable\`, \`data.schema\` or \`data.tables\`) is the data setup it was started with. Build that app in place, with that data config, and in that framework unless the user now names another. Do not ask for either, and do not create a second app. Only when it carries no data config and has to store data is the data setup still to ask.
## Frontend
### Entrypoint
The entrypoint is \`index.tsx\` for React and \`index.ts\` for Svelte and Vue. It is both the bundling entrypoint (the bundler is esbuild) and the **mount** entrypoint: the preview executes the bundle against an empty \`<div id="root">\` and auto-renders nothing, so the entrypoint must mount a top-level \`App\` itself. Keep the UI in \`App.tsx\` / \`App.svelte\` / \`App.vue\` and keep the entrypoint as the mount shim.
React (\`index.tsx\`):
\`\`\`tsx
import React from 'react'
import { createRoot } from 'react-dom/client'
import App from './App'
createRoot(document.getElementById('root')!).render(<App />)
\`\`\`
Svelte (\`index.ts\`): \`mount(App, { target: document.getElementById('root')! })\`. Vue (\`index.ts\`): \`createApp(App).mount('#root')\`.
**Never replace the entrypoint with a bare component** (\`export default function App() { ... }\` and no mount call). A component that is defined but never mounted renders a blank screen with **no error thrown** — it never executes, so nothing reaches the console or the error overlay. If an app renders blank, check that the entrypoint still mounts \`App\` into \`#root\`.
**Always begin every React file (\`.tsx\`/\`.jsx\`) that uses JSX with \`import React from 'react'\`.** esbuild uses the classic JSX transform, so \`React\` must be in scope wherever JSX appears — a missing import compiles fine but throws \`React is not defined\` at runtime, leaving a blank screen.
### Generated bindings (\`wmill.d.ts\` / \`wmill.ts\`)
The frontend imports a generated module that mirrors the backend runnables. **Never write to it directly** — it gets regenerated whenever backend runnables change. Modifying it by hand will be overwritten.
### Calling backend runnables
Import the generated bindings and call the runnable like a function. \`./wmill\` is the **only** way the frontend reaches anything server-side — datatables, workspace items, external services. Never \`fetch\` the Windmill API from frontend code: the bundle holds no token and builds no API URL.
| Export | Resolves to | Use it for |
|---|---|---|
| \`backend.<key>(args)\` | the runnable's result | the default — run and wait |
| \`backendAsync.<key>(args)\` | the **job id** (a string) | long-running work you want to track |
| \`waitJob(jobId)\` | the job's **result** (rejects if the job failed) | awaiting a \`backendAsync\` job |
| \`getJob(jobId)\` | a \`Job\` (\`{ type, success, result, duration_ms, ... }\`) | polling status without blocking |
| \`streamJob(jobId, onUpdate?)\` | the final result, calling \`onUpdate\` per chunk | showing output as it is produced |
A runnable is always called with **one object** whose keys are its \`main\` parameters — \`main(user_id: string, limit: number)\` is called as \`backend.get_users({ user_id, limit })\`, never with positional arguments. A runnable without parameters is called with no argument. Resource and variable ids handed to the \`wmill\` client are paths (\`u/<user>/<name>\` or \`f/<folder>/<name>\`).
Run and wait — the common case:
\`\`\`tsx
import { backend } from './wmill';
const user = await backend.get_user({ user_id: '123' });
\`\`\`
Start a long job, then await it:
\`\`\`tsx
import { backendAsync, waitJob } from './wmill';
const jobId = await backendAsync.run_report({ month: '2026-08' }); // a string
const report = await waitJob(jobId); // the result itself
\`\`\`
Or poll it without blocking, to render progress:
\`\`\`tsx
import { getJob } from './wmill';
const job = await getJob(jobId);
if (job.type === 'CompletedJob') setReport(job.result);
\`\`\`
\`backendAsync\` resolves a job id and nothing else — guard on it before storing or polling. A poll loop started on an \`undefined\` id never completes and shows as a row stuck "running" forever:
\`\`\`tsx
const jobId = await backendAsync.run_report(args);
if (!jobId) throw new Error('run_report did not start a job');
\`\`\`
**Never hand-write a job-polling runnable.** A backend runnable that calls \`jobs/list\`, or that returns \`getResultMaybe(...)\` for the frontend to poll, reimplements \`backendAsync\` + \`waitJob\` / \`getJob\` / \`streamJob\` — and it is what leads to guessing at base URLs and tokens.
### Keeping data out of recorded demos
An app can be demoed by recording a session: every interaction becomes a step carrying a snapshot of the page, replayed publicly or on the Hub. Password inputs are masked automatically. Mark anything else that must not appear with \`data-wm-no-record\` — the whole marked subtree is dropped from every snapshot, along with its values and the step's own metadata:
\`\`\`tsx
<label data-wm-no-record>
Customer SSN <input value={ssn} onChange={onSsn} />
</label>
\`\`\`
Apply it to customer data, internal notes and anything else a viewer of the demo should not see. It costs nothing when the app is never recorded.
### Chat UIs over a flow in chat mode
A flow deployed with chat mode on is a chat backend (streaming answer, tool calls, memory, conversation history). Do not drive it through a runnable: add \`windmill-chat\` to \`package.json\` and use it directly, it detects the app's Windmill and credential.
\`\`\`tsx
import { useWindmillChat } from 'windmill-chat/react'
const chat = useWindmillChat({ flowPath: 'f/support/assistant' })
// chat.messages ({ role, content, pending, success, tool? }), chat.status, chat.sendMessage(text), chat.stop()
\`\`\`
\`windmill-chat/ai-sdk\` gives a \`ChatTransport\` for the Vercel AI SDK's \`useChat\`, \`windmill-chat/assistant-ui\` a runtime for assistant-ui. The flow must be deployed, not a draft. A sandboxed app needs \`jobs:run\` in its frontend SDK scopes, plus \`flow_conversations:write\` for the conversation sidebar; without them the chat keeps history in the browser.
## Backend runnables
Each runnable has a unique key (used to call it from the frontend) and one of four types:
| Type | What it is |
|---|---|
| \`inline\` | Custom code stored on the app itself. Most common for app-specific logic. |
| \`script\` | Reference to an existing workspace script by path. |
| \`flow\` | Reference to an existing workspace flow by path. |
| \`hubscript\` | Reference to a hub script by path. |
### Inline runnables
Inline runnables carry their own source code, and must expose a \`main\` function as their entrypoint.
**TypeScript example** (runnable \`get_user\`):
\`\`\`typescript
import * as wmill from 'windmill-client';
export async function main(user_id: string) {
const sql = wmill.datatable();
const user = await sql\`SELECT * FROM users WHERE id = \${user_id}\`.fetchOne();
return user;
}
\`\`\`
**Python example** (runnable \`get_user\`):
\`\`\`python
import wmill
def main(user_id: str):
db = wmill.datatable()
user = db.query('SELECT * FROM users WHERE id = $1', user_id).fetch_one()
return user
\`\`\`
#### The \`wmill\` client is already authenticated
An inline runnable runs as an ordinary Windmill job. \`import * as wmill from 'windmill-client'\` (TypeScript) and \`import wmill\` (Python) are already pointed at this instance and this workspace — there is nothing to configure.
**Don't read \`WM_TOKEN\` or \`BASE_INTERNAL_URL\` and build an API URL to \`fetch\`.** The client's own \`setClient\` already reads exactly those, and it also sets the credentials mode a raw app needs (\`WM_RAW_APP\` suppresses credentials, because a sandboxed bundle calls the API from an opaque origin that can never pair with \`Access-Control-Allow-Origin: *\`). Rebuilding that by hand drops the parts you can't see. Use \`wmill.*\` for everything Windmill, and \`fetch\` only for third-party APIs.
Use only \`wmill\` functions the SDK actually exports; for an endpoint none of them covers, the generated service classes (\`JobService\`, \`ScriptService\`, ...) are importable from \`windmill-client\`. What is not available is a name you guessed at: \`getBaseUrl\` and \`getWorkspaceToken\` are inventions, not API.
### Path runnables (script / flow / hubscript)
When \`type\` is \`script\`, \`flow\`, or \`hubscript\`, the runnable just stores a \`path\` to an existing workspace or hub item — no inline code. The referenced item's input/output schema becomes the runnable's surface.
Before writing an inline runnable, look for a workspace script or flow that already does the job, or a Hub script (a prebuilt integration at \`hub/<version>/<app>/<name>\`) for a third-party service, and reference it instead of copying its logic.
### Draft code vs deployed code
This decides whether an app works before anything is deployed:
- **Inline runnables run the app's current code.** The editor sends the runnable's source with each request, so an inline runnable works in the preview with nothing deployed.
- **Path runnables (\`script\` / \`flow\` / \`hubscript\`) run the DEPLOYED item at that path.** So do \`wmill.runFlow\`, \`wmill.runFlowAsync\` and \`wmill.runScriptByPath\` called from inside a runnable. A draft — including a draft you just created — does not exist for them.
So an app wired to a flow you just wrote does nothing until **that flow is deployed**. The app itself does NOT have to be deployed for this: the preview runs the app's draft, so the referenced flow is the only thing that has to exist deployed.
That makes the fix a one-item deploy, not a release. Offer to deploy exactly the referenced flow or script and leave the app a draft the user keeps testing in the preview — do not push the whole change set through the review-and-deploy page, and do not ask the user to deploy the app, unless they said they want to ship it.
Do NOT quietly reimplement the flow inside an inline runnable to dodge the deployment: that leaves the user with two copies of the same logic and an app that ignores the flow they asked for. Inline the logic only when the user actually wants it inline.
Prefer a **path runnable of type \`flow\`** over an inline runnable that calls \`wmill.runFlowAsync\`. The path runnable gives the frontend the flow's real input schema and works with \`backend\` / \`backendAsync\` / \`waitJob\` like any other runnable; a hand-written wrapper gives up all of that.
### Static inputs
\`staticInputs\` is an optional \`Record<string, any>\` for arguments not overridable from the frontend. Useful with path runnables to pre-fill some args while leaving the rest to the frontend caller.
## Who can open a deployed app
A draft app is reachable by nobody; deploying is what exposes it, and its backend runnables with it. Otherwise only users with access to the app can open it, unless the app is opened to:
- **anonymous** users: anyone with the URL, without logging in;
- **guests**: anyone the instance's identity provider authenticates, whether or not they belong to the workspace.
Either one lets those people run the app's backend runnables, so never open an app up unless the user asks.
When a deploy widens who may open the app, tell the user in plain words.
## Data Tables
Data tables are PostgreSQL databases managed by Windmill. Backend runnables query them via the \`wmill\` client; the frontend never queries them directly. **When the app needs to store or persist data** (user data, settings, application state, records, logs), use a data table.
### Critical rules
1. **Check what exists first**: look up the workspace's data tables and their tables before designing storage, and reuse a suitable table rather than creating another. Never assume a \`main\` data table exists.
2. **Whitelisted tables only**: a runnable can only query tables listed in the app's \`data.tables\` config. Queries against unlisted tables fail at runtime, so register a new table there before using it.
3. **No DDL inside runnables**: runnables only read and write rows (SELECT, INSERT, UPDATE, DELETE) on existing tables. Never CREATE, ALTER or DROP a table from a runnable.
4. **Qualify table names**: an unqualified name means the \`public\` schema, so write every other table as \`schema.table\`, in table creation and queries alike. The app's \`data\` config sets the default datatable and schema its tables go in; use them consistently across runnables.
5. **Pass the role**: when the app's \`data.roles\` gives a data table a role, every \`wmill.datatable\` call on it passes that role (\`wmill.datatable('main', { role: 'analyst' })\` in TypeScript, \`wmill.datatable('main', role='analyst')\` in Python). The role only reaches what it was granted, so a query outside it fails with \`permission denied\`.
### Querying in TypeScript (Bun/Deno)
\`\`\`typescript
import * as wmill from 'windmill-client';
export async function main(user_id: string) {
const sql = wmill.datatable(); // Or: wmill.datatable('other_datatable')
// Parameterized queries (safe from SQL injection)
const user = await sql\`SELECT * FROM users WHERE id = \${user_id}\`.fetchOne();
const users = await sql\`SELECT * FROM users WHERE active = \${true}\`.fetch();
// Insert/Update
await sql\`INSERT INTO users (name, email) VALUES (\${name}, \${email})\`.execute();
await sql\`UPDATE users SET name = \${newName} WHERE id = \${user_id}\`.execute();
return user;
}
\`\`\`
### Querying in Python
\`\`\`python
import wmill
def main(user_id: str):
db = wmill.datatable() # Or: wmill.datatable('other_datatable')
# Use $1, $2, etc. for parameters
user = db.query('SELECT * FROM users WHERE id = $1', user_id).fetch_one()
users = db.query('SELECT * FROM users WHERE active = $1', True).fetch()
# Insert/Update
db.query('INSERT INTO users (name, email) VALUES ($1, $2)', name, email).execute()
db.query('UPDATE users SET name = $1 WHERE id = $2', new_name, user_id).execute()
return user
\`\`\`
## Best Practices
1. **Check existing tables** before creating new ones — reuse beats schema growth.
2. **Use parameterized queries** — never concatenate user input into SQL.
3. **Terminate every datatable statement** — the tagged template and \`db.query(...)\` only build a statement. It runs when you call \`fetch\` / \`fetchOne\` / \`fetchOneScalar\` / \`execute\` (\`fetch\` / \`fetch_one\` / \`fetch_one_scalar\` / \`execute\` in Python). An INSERT or UPDATE without one writes nothing and raises nothing. Awaiting the statement itself is a no-op — it is not a promise.
4. **Keep runnables focused** — one function per runnable; small surface area.
5. **Use descriptive keys** — \`get_user\`, not \`a\`.
6. **Always whitelist tables** — adding a runnable that queries a new table requires the table to be in \`data.tables\` first.
7. **Mark sensitive UI with \`data-wm-no-record\`** — it is what keeps that data out of a recorded demo; passwords are handled for you.
8. **Reach for \`backendAsync\` + \`waitJob\`** for long work — never a hand-written job-polling runnable.
9. **Deploy what a path runnable points at** — a path runnable aimed at a draft fails at runtime; tell the user what needs deploying.
10. **Use \`windmill-chat\` for a chat over a chat-mode flow** — never a runnable that runs the flow and polls its stream.
`;
export const PIPELINE_BASE = `# Data pipeline authoring
A **data pipeline** is NOT a flow. A flow is one runnable that orchestrates steps internally. A data pipeline is a set of **independent scripts**, each deployed on its own, that form a DAG by reading and writing shared **storage assets** (DuckLake tables, data tables, S3 objects, volumes, resources) and by declaring execution **triggers**. The pipeline is visualized and edited at \`/pipeline/<folder>\`; every node is a normal workspace script that happens to carry pipeline annotations. When the user asks for a "data pipeline" (or to "ingest / transform / materialize" data across steps), build pipeline-annotated scripts — do NOT build a flow.
## Default to DuckDB + DuckLake
A pipeline node that produces a table should almost always be a **\`duckdb\`** node that materializes its output into a **DuckLake** table with \`-- materialize ducklake://<name>/<table>\` (in a DuckDB node the annotation uses SQL \`--\` comment syntax; write the body as a bare \`SELECT\` and let the runtime do the write). DuckLake is the default lakehouse store for pipelines and is the shape the pipeline editor is built around, so prefer it unless the work specifically calls for something else:
- \`postgresql\` / data tables — only for row-level, OLTP-style mutations against an existing Postgres data table (frequent single-row upserts/updates, transactional reads that an app queries live).
- \`bun\` / \`python3\` — only for work that doesn't map to SQL: calling an external API, wrangling files, arbitrary glue. When such a node produces tabular data for downstream steps, write it **straight into DuckLake** (or a data table) from the same script — see "Ingesting from Python / TypeScript" below — rather than inventing a parallel store.
Do not spread a pipeline across postgres, S3, and DuckLake when one DuckLake lake would do; a consistent DuckLake lakehouse is the goal.
## Ingesting from Python / TypeScript
A node that fetches data in code (an API, a SaaS export, a scraper) writes the rows **directly** into their DuckLake table with \`wmill.ducklake()\`, or into a data table with \`wmill.datatable()\`. DuckLake already stores every table as parquet files in the workspace object storage, so **never stage the raw payload first** — no intermediate JSON / CSV / parquet file in S3 and no second "load the raw file" node. One ingestion node, one table.
Pass the rows as a query argument (a list of dicts / array of objects is sent as JSON) and let SQL unnest them; declare the column types so the table gets a real schema:
\`\`\`python
# pipeline
# on schedule
import wmill
def main():
rows = fetch_charges() # list[dict]
lake = wmill.ducklake()
lake.query("""
CREATE OR REPLACE TABLE stripe_charges AS
SELECT unnest(from_json($rows, '[{"id":"VARCHAR","amount":"BIGINT","created":"BIGINT"}]'), recursive := true)
""", rows=rows).fetch()
\`\`\`
\`\`\`ts
// pipeline
// on schedule
import * as wmill from "windmill-client"
export async function main() {
const rows = await fetchCharges()
const lake = wmill.ducklake()
await lake\`CREATE OR REPLACE TABLE stripe_charges AS
SELECT unnest(from_json(\${rows}, '[{"id":"VARCHAR","amount":"BIGINT","created":"BIGINT"}]'), recursive := true)\`.fetch()
}
\`\`\`
- Use \`INSERT INTO <table> SELECT ...\` instead of \`CREATE OR REPLACE\` to append (an incremental pull), with a one-time \`CREATE TABLE IF NOT EXISTS\` first.
- Assign the client to a variable (\`lake = wmill.ducklake()\`) and keep the SQL a **string literal** (Python) or a template without \`sql.raw\` (TS): that is what lets the graph record the node's write to \`ducklake://main/<table>\`. A chained \`wmill.ducklake().query(...)\` or SQL built in a variable records no output, so the downstream edge never forms.
- \`wmill.ducklake("<name>")\` targets a non-default catalog; \`wmill.datatable("<name>")\` writes a Postgres data table the same way (Python \`db.query(sql, *args)\` with \`$1\` placeholders, TS the same template form) — use it only when the data belongs in Postgres (see above).
- The downstream node triggers on the table itself: \`-- on ducklake://main/stripe_charges\`.
## Storage prerequisites
A DuckLake pipeline only runs once the workspace has **object storage** (S3 / Azure Blob / GCS) **and a DuckLake catalog** configured — DuckLake tables and \`s3://\` assets can't be materialized or read without it. Check which DuckLake catalogs the workspace has before you build.
Drafting the annotated scripts does not require storage, but the pipeline can't ingest, materialize, or read its assets until it exists. So if there is none (or the user hits "storage not configured" errors), say so and give the right next step **by role**:
- a workspace **admin** sets it up in Workspace settings → Object Storage (add an S3/Azure/GCS storage), then adds a DuckLake catalog on top of it;
- anyone **without admin rights** should ask a workspace admin to configure object storage + a DuckLake catalog.
Never hand back a DuckLake pipeline that cannot run without flagging the missing storage and pointing to who sets it up.
## What makes a script a pipeline node
A script joins the pipeline when its source begins with the \`pipeline\` annotation as a top-of-file comment, **written in the script's own comment syntax** — \`//\` for TS/JS (bun), \`--\` for SQL (DuckDB/Postgres), \`#\` for Python/Bash. So it's \`-- pipeline\` in a DuckDB node, \`# pipeline\` in a Python node, \`// pipeline\` in a bun node. Every annotation below uses that same prefix (the \`//\` shown is the TS form). All other wiring is expressed as annotation comments near the top of the file:
- \`// on <ref>\` — declares an execution-DAG **input** (what triggers/feeds this node). \`<ref>\` is either:
- an **asset URI** (the node runs when that asset is produced upstream): \`ducklake://main/orders\`, \`datatable://main/users\`, \`$res:f/folder/my_resource\`, \`volume://name/path\`, or an S3 object (see the S3 storage-form rule below).
- a **native trigger kind**: \`schedule\`, \`webhook\`, \`email\`, \`kafka\`, \`mqtt\`, \`amqp\`, \`nats\`, \`postgres\`, \`sqs\`, \`gcp\`, or \`data_upload\` (a user-uploaded S3 file). For these the actual trigger row (cron, topic, …) is created separately; the annotation only declares the binding. **\`data_upload\` is special**: there is no trigger row — the node instead declares an **\`S3Object\` input parameter** fed by the auto-generated upload picker; it never hard-codes a key. Any language can be the \`data_upload\` node:
- Python (has \`import wmill\`): \`def main(file: wmill.S3Object):\` then \`wmill.load_s3_file(file)\`; TS (has \`import * as wmill from "windmill-client"\`): \`export async function main(file: wmill.S3Object)\`. Qualify the type as \`wmill.S3Object\` (or add \`from wmill import S3Object\` / \`import { S3Object } from "windmill-client"\`) — a bare \`S3Object\` is undefined.
- **DuckDB** takes the s3object arg via a \`-- $<name> (s3object)\` declaration and reads it directly, so a single DuckDB node can ingest **and** materialize:
\`\`\`
-- pipeline
-- on data_upload
-- materialize ducklake://main/raw_uploads
-- $file (s3object)
SELECT * FROM read_csv($file)
\`\`\`
- **Outputs** are inferred from what the body writes — a \`CREATE TABLE\`, a \`wmill.writeS3File(...)\`, a DuckLake/datatable write. To declare a managed output explicitly, use \`// materialize <asset-uri>\`.
- Optional badges: \`// partitioned <daily|hourly|weekly|monthly|dynamic>\`, \`// freshness <duration>\` (e.g. \`1h\`), \`// tag <worker-tag>\`, \`// retry <count> [delay]\`, \`// data_test <kind> ...\` (managed DuckLake targets only — deploy rejects it beside a \`dbt://\` one), \`// measure <name> = <agg> [where <pred>]\` and \`// dimension <name> = <expr>\` (see "Declared metrics" below).
## S3 object wiring (storage form matters)
An \`s3://\` URI's first slashes select the **storage**, not part of the key — get this wrong and the producer/consumer edge silently won't connect:
- \`s3:///<key>\` (**triple** slash, empty first segment) = the **default** workspace storage. A downstream node reading or triggering on that object uses \`s3:///<key>\` — e.g. DuckDB \`-- on s3:///orders/2024.parquet\` and \`read_parquet('s3:///orders/2024.parquet')\`.
- \`s3://<storage>/<key>\` (**double** slash, non-empty first segment) = a **named secondary** storage called \`<storage>\` — so \`s3://ingest/x\` means storage \`ingest\`, key \`x\`, NOT key \`ingest/x\`. Only use this when the object genuinely lives in a configured secondary storage; never invent a bucket/storage name for a default-storage object (it breaks the edge).
To make the producer side visible to lineage, a Python/TS node MUST pass the **\`S3Object\` form**, not a bare key string: Python \`wmill.write_s3_file(wmill.S3Object(s3="<key>"), data)\` (or the import-free dict \`{"s3": "<key>"}\`), TS \`wmill.writeS3File({ s3: "<key>" }, data)\`. That records the default-storage asset \`/<key>\`, which a downstream \`s3:///<key>\` reader connects to (same key both sides). A bare \`write_s3_file("<key>", ...)\` records **no** asset and produces **no** edge. Add \`storage="<name>"\` only for a named secondary storage.
The key must be a **string literal** — the graph parser is static and cannot follow a variable, f-string, or computed path, so \`write_s3_file(wmill.S3Object(s3=key_var), ...)\` records no edge. Inline the literal (\`s3="events/user_events.parquet"\`) on both the writing and reading node. The same rule applies to every asset URI in an annotation or SDK call (\`ducklake://\`, \`datatable://\`, \`s3://\`): write them literally, not via a variable.
## Materialize (the managed output)
> **A MANAGED \`// materialize\` is DuckDB-only**, and its target must be a DuckLake table (\`ducklake://<name>/<table>\`). Deploy **rejects** a \`ducklake://\` \`// materialize\` on any other language (\`python3\`, \`bun\`, \`postgresql\`). For a non-DuckDB node writing the lake, do **not** use \`// materialize\` — write the table itself with \`wmill.ducklake()\` (see "Ingesting from Python / TypeScript") and let the output be inferred. Use \`duckdb\` when a node should materialize a DuckLake table.
>
> The one target ANY language may declare (except a dbt script, whose writes come from its manifest) is a **warehouse relation**: \`// materialize manual dbt://<warehouse>/<schema>/<name>\`, where \`<warehouse>\` is a warehouse the workspace configures under Settings → dbt. \`manual\` is the only mode it has — nothing generates warehouse DDL, so the node issues its own write (a postgresql \`CREATE TABLE\` / \`INSERT\`, an SDK load, …) and the annotation records the outcome. Use it on an ingestion node whose output a dbt project reads as a \`source\`: the declared relation and the dbt model land on ONE graph node, and a downstream \`// on dbt://<warehouse>/<schema>/<name>\` fires when the ingestion node completes.
A managed \`// materialize ducklake://<name>/<table>\` tells the runtime to write the node's output table **for you**: write the body as a single \`SELECT\` and the runtime wraps it in the create/replace — do **not** also write your own \`CREATE TABLE\` / \`INSERT\`. (The opposite holds for the \`dbt://\` target above: there the node writes its own DDL and the strategies below do not apply.) Write strategy:
- no option → **replace** the whole table each run (full refresh; the only mode whose output columns may change);
- \`// materialize <uri> append\` → INSERT-append rows (incremental);
- \`// materialize <uri> key=<col>\` → merge/upsert on \`<col>\`.
\`// materialize manual <uri>\` opts **out** of managed writes — the script writes its own DDL and the annotation only records the output asset for lineage.
\`materialize\` pairs with partitioning for incremental pipelines: a \`// partitioned <daily|hourly|weekly|monthly|dynamic>\` node runs **once per partition** (append/merge into a fixed-schema table). The \`{partition}\` token, usable in any asset URI **and** in the body SQL, is replaced at run time by the current partition's **identity string**:
- To filter the source to the active slice on a time grain, use the runtime-injected macro: \`WHERE wm_partition(<ts_col>) = {partition}\`. \`wm_partition(ts)\` buckets a timestamp in exactly the identity format the runtime uses for daily/hourly/weekly/monthly, so it always matches; never hand-write a \`strftime\` format.
- Do NOT write \`= TIMESTAMP {partition}\`: the identity string is not a valid timestamp literal for hourly/weekly/monthly and errors at run time.
- For \`dynamic\` partitioning the identity is the caller-supplied key (not a timestamp, no macro), so filter on it directly: \`WHERE <your_key_col> = {partition}\`.
\`materialize\` is an output **declaration** on a node — not a command. There is no "materialize run".
## Declared metrics (\`measure\` / \`dimension\`)
On a node that materializes a DuckLake table, \`// measure <name> = <aggregate> [where <predicate>]\` names the canonical way to aggregate that table (e.g. \`// measure revenue = sum(amount) where not is_refund\`), and \`// dimension <name> = <expr>\` names a way to slice it (e.g. \`// dimension region = region\`, \`// dimension month = date_trunc('month', ordered_at)\`). They execute nothing: they are catalogued at deploy so the editor and other agents reuse the definition instead of re-deriving it and silently disagreeing.
- Keep the predicate in the \`where\` clause rather than folding it into the aggregate: it is rendered as \`<agg> FILTER (WHERE <pred>)\`, which is what lets two measures with different predicates share one GROUP BY.
- DuckLake-only, and only meaningful next to \`// materialize\`.
- Declare one when a number carries a judgement call someone else would get wrong (refunds excluded, test rows dropped, which column is the amount); do NOT blanket every table with measures — an obvious \`count(*)\` earns nothing.
- To use a metric another node declares, read that node and reuse its exact expression rather than guessing it.
## How to build one
1. Put every node in the **same folder**: \`f/<folder>/<name>\`. The folder is the pipeline.
2. Write each node as its own script. Default to \`duckdb\` materializing into DuckLake (see "Default to DuckDB + DuckLake" above); pick \`postgresql\`, \`bun\`, or \`python3\` only when that section says the work calls for it.
3. Start each body with \`// pipeline\`, then the \`// on\` input declarations, then the transform that writes the output.
4. **Chain nodes by asset URI**: read an upstream node's output asset, then \`// on <that-same-uri>\` in the downstream node so the edge forms. Reuse exact asset paths from existing nodes rather than inventing parallel ones.
5. Don't deploy nodes unless the user asks to. A pipeline only "runs" once its scripts are deployed and their triggers exist.
## Example (DuckDB → DuckLake, scheduled ingest + downstream transform)
Node \`f/sales/orders_ingest\` (runs on a schedule, materializes a DuckLake table):
\`\`\`sql
-- pipeline
-- on schedule
-- materialize ducklake://main/orders
SELECT * FROM read_csv('s3:///raw/orders/*.csv')
\`\`\`
Node \`f/sales/orders_daily\` (runs when \`orders\` is produced, writes a rollup):
\`\`\`sql
-- pipeline
-- on ducklake://main/orders
-- materialize ducklake://main/orders_daily
SELECT date_trunc('day', ts) AS day, count(*) AS n
FROM ducklake.main.orders GROUP BY 1
\`\`\`
`;
export const WORKFLOW_AS_CODE_BASE = `# Windmill Workflow-as-Code Writing Guide
## Scope
Use this guide when writing or modifying Windmill Workflow-as-Code (WAC) scripts.
WAC is authored as a Windmill script and deployed with the normal script workflow. It is not an OpenFlow YAML flow.
Supported WAC authoring targets:
- Bun TypeScript scripts that import from \`windmill-client\`
- Python 3 scripts that import from \`wmill\`
## File Shape
Bun TypeScript:
\`\`\`typescript
import {
task,
taskScript,
taskFlow,
step,
sleep,
waitForApproval,
getApprovalUrls,
parallel,
workflow,
} from "windmill-client";
const process = task(async (x: string): Promise<string> => {
return \`processed: \${x}\`;
});
export const main = workflow(async (x: string) => {
const result = await process(x);
return { result };
});
\`\`\`
Python:
\`\`\`python
from wmill import task, task_script, task_flow, step, sleep, wait_for_approval, get_approval_urls, parallel, workflow
@task()
async def process(x: str) -> str:
return f"processed: {x}"
@workflow
async def main(x: str):
result = await process(x)
return {"result": result}
\`\`\`
Rules:
- Do not call \`main\`.
- Bun TypeScript should export the workflow entrypoint, preferably \`export const main = workflow(async (...) => { ... })\`.
- Python must use \`@workflow\` on an async top-level function, usually \`main\`.
- Define task functions and \`taskScript\`/\`task_script\` or \`taskFlow\`/\`task_flow\` assignments at module top level with stable names.
- Use the exact SDK names. Do not alias \`workflow\`, \`task\`, \`taskScript\`, \`taskFlow\`, \`step\`, \`sleep\`, \`waitForApproval\`, \`task_script\`, \`task_flow\`, or \`wait_for_approval\`; the WAC parser recognizes these names directly.
## Checkpoint And Replay Model
The parent workflow may rerun from the top after any suspension, retry, approval, or child task completion. Completed durable steps are replayed from the checkpoint.
Put every side effect or non-deterministic value behind a durable WAC boundary:
- Use \`task()\` / \`@task()\` for substantial work that should run as its own child job.
- Use \`taskScript()\` / \`task_script()\` for an existing script or a relative module file.
- Use \`taskFlow()\` / \`task_flow()\` for an existing Windmill flow.
- Use \`step(name, fn)\` for lightweight inline work whose result must be checkpointed.
- Use \`sleep(seconds)\` for server-side sleeps that do not hold a worker.
- Use \`waitForApproval()\` / \`wait_for_approval()\` for external approval suspension.
Never put API calls, database writes, notifications, random values, timestamps, or irreversible changes directly in the top-level workflow body. The workflow body can be rerun. Put those operations in a task or in \`step()\`.
Branching on task or step results is safe because those results are checkpointed. Branching on current time, random data, environment reads, or external state is unsafe unless the value is first captured with \`step()\`.
## Tasks
Use \`task()\` / \`@task()\` for inline functions that become workflow steps:
\`\`\`typescript
const enrich = task(async (customerId: string) => {
return await fetchCustomer(customerId);
});
\`\`\`
\`\`\`python
@task(timeout=600, tag="etl")
async def enrich(customer_id: str):
return await fetch_customer(customer_id)
\`\`\`
In TypeScript, prefer assigning each task to a named top-level const. In Python, prefer top-level async functions decorated with \`@task()\` or \`@task\`.
For existing scripts:
\`\`\`typescript
const helper = taskScript("./helper.ts");
const existing = taskScript("f/data/extract", { timeout: 600 });
const value = await helper({ input: x });
\`\`\`
\`\`\`python
helper = task_script("./helper.py")
existing = task_script("f/data/extract", timeout=600)
value = await helper(input=x)
\`\`\`
For existing flows:
\`\`\`typescript
const pipeline = taskFlow("f/etl/pipeline");
const output = await pipeline({ input: data });
\`\`\`
\`\`\`python
pipeline = task_flow("f/etl/pipeline")
output = await pipeline(input=data)
\`\`\`
## Inline Steps
Use \`step()\` for lightweight inline values that must not change during replay:
\`\`\`typescript
const startedAt = await step("started_at", () => new Date().toISOString());
\`\`\`
\`\`\`python
from datetime import datetime
started_at = await step("started_at", lambda: datetime.now().isoformat())
\`\`\`
Use stable, descriptive step names. Do not generate step names dynamically.
## Parallelism
To run independent work in parallel, start task promises/coroutines before awaiting them together:
\`\`\`typescript
const [a, b] = await Promise.all([process("a"), process("b")]);
const many = await parallel(items, process, { concurrency: 5 });
\`\`\`
\`\`\`python
import asyncio
a, b = await asyncio.gather(process("a"), process("b"))
many = await parallel(items, process, concurrency=5)
\`\`\`
Only parallelize independent steps. Do not read the result of a task before it is awaited.
## Approvals
Name the approval step and generate its URLs inside \`step()\` before sending them.
\`getApprovalUrls\` / \`get_approval_urls\` returns the URLs bound to that step, the same
ones its built-in approve/reject buttons use:
\`\`\`typescript
const urls = await step("urls", () => getApprovalUrls("manager"));
await step("notify", () => sendApprovalEmail(urls.resume, urls.cancel));
const approval = await waitForApproval({ key: "manager", timeout: 3600 });
\`\`\`
\`\`\`python
urls = await step("urls", lambda: get_approval_urls("manager"))
await step("notify", lambda: send_approval_email(urls["resume"], urls["cancel"]))
approval = await wait_for_approval(key="manager", timeout=3600)
\`\`\`
With several approvals in one workflow, give each its own key so each notification
resumes its own step. Keys must be unique — reusing one raises an error rather than
silently renaming the step. A minted URL only resumes while its own step is awaiting
approval; used at any other moment it is rejected rather than resuming the wrong one. \`getResumeUrls()\` / \`get_resume_urls()\` still works but signs a
random nonce, so its URLs are not tied to any particular approval step.
\`selfApproval: false\` and \`self_approval=False\` are Enterprise-only approval behavior. Do not use them unless the user asks for that behavior.
## Error Handling
Let task errors fail the workflow unless the user asks for recovery logic.
Python: \`except Exception\` is safe around WAC calls because internal suspension inherits from \`BaseException\`. Avoid bare \`except:\` in workflow code. If the user asks for recovery logic around failed child work, catch \`TaskError\` from \`wmill\` for task failures.
TypeScript: avoid broad \`try/catch\` around WAC SDK calls. The SDK uses an internal suspension error during initial dispatch; catching it can break workflow suspension. If a broad catch is unavoidable, rethrow internal suspension errors before handling business errors.
A caught failure reads the same whether it came from a task or from a \`step()\`, and the same in the round that ran the failing body as in every round replaying it. It carries \`step_key\`, \`child_job_id\` (absent for a \`step()\`, which runs in the workflow job and has no child job), a \`message\` that is the failure's own message, and \`result\` = \`{"error": {"name", "message", "stack"?, "extra"?}}\`. \`name\`, \`message\` and \`stack\` are the fields that read the same whichever side failed; \`name\` and \`message\` are always there, \`stack\` only when the failure had a traceback to give. \`extra\` carries the failure's own custom fields (an exception's attributes, an error's properties) and is best-effort: it is absent when there were none, and a task can report entries a step does not, so read it defensively and don't branch on its absence. \`extra\` is dropped when it is too large to keep in the checkpoint, and \`extra_omitted: true\` says so — absent \`extra\` with no \`extra_omitted\` means the failure simply had no custom fields. Branch on those, not on the original exception type: the workflow body re-runs from the top every round and a replay rebuilds the failure from the checkpoint, so nothing outside that record survives. Python raises \`TaskError\`; TypeScript throws an \`Error\` named \`TaskError\` carrying the same fields. Nothing is chained onto \`__cause__\` / \`cause\` — the traceback is in \`result.error.stack\`, and is also printed to the job log when the step fails.
`;
export const FLOW_CHAT_SPECIAL_MODULES = `## Special Modules
- Use \`set_preprocessor_module\` to add, replace, or remove the top-level \`value.preprocessor_module\`
- Use \`set_failure_module\` to add, replace, or remove the top-level \`value.failure_module\`
- Use \`set_flow_json\` only when you are replacing the whole flow, including normal modules and optional special modules
**Example - Update only the special modules:**
\`\`\`javascript
set_preprocessor_module({
module: JSON.stringify({
id: "preprocessor",
value: {
type: "rawscript",
language: "bun",
content: "export async function preprocessor(payload: string) { const trimmed = payload.trim(); if (!trimmed) { throw new Error('payload must not be empty'); } return { payload: trimmed }; }",
input_transforms: {
payload: { type: "javascript", expr: "flow_input.payload" }
}
}
})
})
set_failure_module({
module: JSON.stringify({
id: "failure",
value: {
type: "rawscript",
language: "bun",
content: "export async function main(message: string, name: string, step_id: string) { return { message, name, step_id }; }",
input_transforms: {
message: { type: "javascript", expr: "error.message" },
name: { type: "javascript", expr: "error.name" },
step_id: { type: "javascript", expr: "error.step_id" }
}
}
})
})
\`\`\`
`;
export const SDK_TYPESCRIPT = `# TypeScript SDK (windmill-client)
Import: import * as wmill from 'windmill-client'
The client configures itself from the job's environment — base URL, token and credentials mode
are all set before your code runs, so there is nothing to initialize and no reason to read
WM_TOKEN or BASE_INTERNAL_URL and build an API URL yourself. Reconstructing that by hand only
reintroduces details the client already handles. Call the SDK for anything Windmill, and use raw
HTTP for third-party APIs.
The helpers below are the surface to prefer. For an endpoint none of them covers, import the
generated service classes (JobService, ScriptService, ...) from 'windmill-client' — they are not
listed here but they do exist. What does not exist is a helper name you guessed at: if it is
neither listed below nor a service method, do not call it.
To know who is running the script, read the contextual variables rather than calling the API:
\`process.env.WM_END_USER_EMAIL || process.env.WM_EMAIL\`. WM_END_USER_EMAIL is the app viewer when
the run was triggered from an app and empty otherwise (both variables are always defined), WM_EMAIL
is the user the job is permissioned as. WM_USERNAME is the matching username.
workerHasInternalServer(): boolean
/**
* Initialize the Windmill client with authentication token and base URL
* @param token - Authentication token (defaults to WM_TOKEN env variable)
* @param baseUrl - API base URL (defaults to BASE_INTERNAL_URL or BASE_URL env variable)
*/
setClient(token?: string, baseUrl?: string): void
/**
* Create a client configuration from env variables
* @returns client configuration
*/
getWorkspace(): string
/**
* Get a resource value by path
* @param path path of the resource, default to internal state path
* @param undefinedIfEmpty if the resource does not exist, return undefined instead of throwing an error
* @returns resource value
*/
async getResource(path?: string, undefinedIfEmpty?: boolean): Promise<any>
/**
* Get the true root job id
* @param jobId job id to get the root job id from (default to current job)
* @returns root job id
*/
async getRootJobId(jobId?: string): Promise<string>
/**
* Run a script synchronously by its path and wait for the result
* @param path - Script path in Windmill
* @param args - Arguments to pass to the script
* @param verbose - Enable verbose logging
* @param tag - Override the worker tag the job runs on
* @returns Script execution result
*/
async runScriptByPath(path: string, args: Record<string, any> | null = null, verbose: boolean = false, tag: string | null = null): Promise<any>
/**
* Run a script synchronously by its hash and wait for the result
* @param hash_ - Script hash in Windmill
* @param args - Arguments to pass to the script
* @param verbose - Enable verbose logging
* @param tag - Override the worker tag the job runs on
* @returns Script execution result
*/
async runScriptByHash(hash_: string, args: Record<string, any> | null = null, verbose: boolean = false, tag: string | null = null): Promise<any>
/**
* Append a text to the result stream
* @param text text to append to the result stream
*/
appendToResultStream(text: string): void
/**
* Stream to the result stream
* @param stream stream to stream to the result stream
*/
async streamResult(stream: AsyncIterable<string>): Promise<void>
/**
* Run a flow synchronously by its path and wait for the result
* @param path - Flow path in Windmill
* @param args - Arguments to pass to the flow
* @param verbose - Enable verbose logging
* @param tag - Override the worker tag the job runs on
* @returns Flow execution result
*/
async runFlow(path: string | null = null, args: Record<string, any> | null = null, verbose: boolean = false, tag: string | null = null): Promise<any>
/**
* Wait for a job to complete and return its result
* @param jobId - ID of the job to wait for
* @param verbose - Enable verbose logging
* @returns Job result when completed
*/
async waitJob(jobId: string, verbose: boolean = false): Promise<any>
/**
* Get the result of a completed job
* @param jobId - ID of the completed job
* @returns Job result
*/
async getResult(jobId: string): Promise<any>
/**
* Get the result of a job if completed, or its current status
* @param jobId - ID of the job
* @returns Object with started, completed, success, and result properties
*/
async getResultMaybe(jobId: string): Promise<any>
/**
* Cancel a queued or running job by ID.
* @param jobId - UUID of the job to cancel
* @param reason - Optional reason for cancellation
* @returns Response message from the cancel endpoint
*/
async cancelJob(jobId: string, reason: string | undefined = undefined): Promise<string>
/**
* Run a script asynchronously by its path
* @param path - Script path in Windmill
* @param args - Arguments to pass to the script
* @param scheduledInSeconds - Schedule execution for a future time (in seconds), or {@link RunScriptAsyncOptions}
* \`{ scheduledInSeconds?, tag?, retry? }\`, e.g. \`{ retry: { constant: { attempts: 3, seconds: 10 } } }\`
* @param tag - Override the worker tag the job runs on
* @returns Job ID of the created job
*/
async runScriptByPathAsync(path: string, args: Record<string, any> | null = null, scheduledInSeconds: number | null | RunScriptAsyncOptions = null, tag: string | null = null): Promise<string>
/**
* Run a script asynchronously by its hash
* @param hash_ - Script hash in Windmill
* @param args - Arguments to pass to the script
* @param scheduledInSeconds - Schedule execution for a future time (in seconds), or {@link RunScriptAsyncOptions}
* \`{ scheduledInSeconds?, tag?, retry? }\`, e.g. \`{ retry: { constant: { attempts: 3, seconds: 10 } } }\`
* @param tag - Override the worker tag the job runs on
* @returns Job ID of the created job
*/
async runScriptByHashAsync(hash_: string, args: Record<string, any> | null = null, scheduledInSeconds: number | null | RunScriptAsyncOptions = null, tag: string | null = null): Promise<string>
/**
* Run a flow asynchronously by its path
* @param path - Flow path in Windmill
* @param args - Arguments to pass to the flow
* @param scheduledInSeconds - Schedule execution for a future time (in seconds)
* @param doNotTrackInParent - If false, tracks state in parent job (only use when fully awaiting the job)
* @param tag - Override the worker tag the job runs on
* @returns Job ID of the created job
*/
async runFlowAsync(path: string | null, args: Record<string, any> | null, scheduledInSeconds: number | null = null, // can only be set to false if this the job will be fully await and not concurrent with any other job // as otherwise the child flow and its own child will store their state in the parent job which will // lead to incorrectness and failures doNotTrackInParent: boolean = true, tag: string | null = null): Promise<string>
/**
* Resolve a resource value in case the default value was picked because the input payload was undefined
* @param obj resource value or path of the resource under the format \`$res:path\`
* @returns resource value
*/
async resolveDefaultResource(obj: any): Promise<any>
/**
* Get the state file path from environment variables
* @returns State path string
*/
getStatePath(): string
/**
* Set a resource value by path
* @param path path of the resource to set, default to state path
* @param value new value of the resource to set
* @param initializeToTypeIfNotExist if the resource does not exist, initialize it with this type
*/
async setResource(value: any, path?: string, initializeToTypeIfNotExist?: string): Promise<void>
/**
* Set the state
* @param state state to set
* @param path Optional state resource path override. Defaults to \`getStatePath()\`.
*/
async setState(state: any, path?: string): Promise<void>
/**
* Set the progress
* Progress cannot go back and limited to 0% to 99% range
* @param percent Progress to set in %
* @param jobId? Job to set progress for
*/
async setProgress(percent: number, jobId?: any): Promise<void>
/**
* Get the progress
* @param jobId? Job to get progress from
* @returns Optional clamped between 0 and 100 progress value
*/
async getProgress(jobId?: any): Promise<number | null>
/**
* Whether the worker running this job has received its shutdown signal.
* A draining worker waits for its current job to finish before exiting, so a
* long-running script can poll this and return early to let the worker be replaced.
* @param jobId? Job to check, defaults to the current job
*/
async workerIsDraining(jobId?: string): Promise<boolean>
/**
* Set a flow user state
* @param key key of the state
* @param value value of the state
*/
async setFlowUserState(key: string, value: any, errorIfNotPossible?: boolean): Promise<void>
/**
* Get a flow user state
* @param path path of the variable
*/
async getFlowUserState(key: string, errorIfNotPossible?: boolean): Promise<any>
/**
* Get the state shared across executions
* @param path Optional state resource path override. Defaults to \`getStatePath()\`.
*/
async getState(path?: string): Promise<any>
/**
* Get a variable by path
* @param path path of the variable
* @returns variable value
*/
async getVariable(path: string): Promise<string>
/**
* Set a variable by path, create if not exist
* @param path path of the variable
* @param value value of the variable
* @param isSecretIfNotExist if the variable does not exist, create it as secret or not (default: false)
* @param descriptionIfNotExist if the variable does not exist, create it with this description (default: "")
*/
async setVariable(path: string, value: string, isSecretIfNotExist?: boolean, descriptionIfNotExist?: string): Promise<void>
/**
* Build a PostgreSQL connection URL from a database resource
* @param path - Path to the database resource
* @returns PostgreSQL connection URL string
*/
async databaseUrlFromResource(path: string): Promise<string>
async polarsConnectionSettings(s3_resource_path: string | undefined): Promise<any>
async duckdbConnectionSettings(s3_resource_path: string | undefined): Promise<any>
/**
* Get S3 client settings from a resource or workspace default
* @param s3_resource_path - Path to S3 resource (uses workspace default if undefined)
* @param workspace - Workspace to read from (defaults to the \`WM_WORKSPACE\` env var)
* @returns S3 client configuration settings
*/
async denoS3LightClientSettings(s3_resource_path: string | undefined, workspace: string | undefined = undefined): Promise<DenoS3LightClientSettings>
/**
* Load the content of a file stored in S3. If the s3ResourcePath is undefined, it will default to the workspace S3 resource.
*
* \`\`\`typescript
* let fileContent = await wmill.loadS3FileContent(inputFile)
* // if the file is a raw text file, it can be decoded and printed directly:
* const text = new TextDecoder().decode(fileContentStream)
* console.log(text);
* \`\`\`
*
* @param workspace - Workspace to read from (defaults to the \`WM_WORKSPACE\` env var)
*/
async loadS3File(s3object: S3Object, s3ResourcePath: string | undefined = undefined, workspace: string | undefined = undefined): Promise<Uint8Array | undefined>
/**
* Load the content of a file stored in S3 as a stream. If the s3ResourcePath is undefined, it will default to the workspace S3 resource.
*
* \`\`\`typescript
* let fileContentBlob = await wmill.loadS3FileStream(inputFile)
* // if the content is plain text, the blob can be read directly:
* console.log(await fileContentBlob.text());
* \`\`\`
*
* @param workspace - Workspace to read from (defaults to the \`WM_WORKSPACE\` env var)
*/
async loadS3FileStream(s3object: S3Object, s3ResourcePath: string | undefined = undefined, workspace: string | undefined = undefined): Promise<Blob | undefined>
/**
* Persist a file to the S3 bucket. If the s3ResourcePath is undefined, it will default to the workspace S3 resource.
*
* \`\`\`typescript
* const s3object = await writeS3File(s3Object, "Hello Windmill!")
* const fileContentAsUtf8Str = (await s3object.toArray()).toString('utf-8')
* console.log(fileContentAsUtf8Str)
* \`\`\`
*
* @param workspace - Workspace to write to (defaults to the \`WM_WORKSPACE\` env var)
*/
async writeS3File(s3object: S3Object | undefined, fileContent: string | Blob, s3ResourcePath: string | undefined = undefined, contentType: string | undefined = undefined, contentDisposition: string | undefined = undefined, workspace: string | undefined = undefined): Promise<S3Object>
/**
* Permanently delete a file from S3 by key.
*
* \`\`\`typescript
* await wmill.deleteS3File({ s3: "path/to/file.txt" })
* \`\`\`
*
* @param s3object - S3 object identifying the file to delete (must have \`s3\` set)
* @param workspace - Workspace to delete from (defaults to the \`WM_WORKSPACE\` env var)
*/
async deleteS3File(s3object: S3Object, workspace: string | undefined = undefined): Promise<void>
/**
* Sign S3 objects to be used by anonymous users in public apps
* @param s3objects s3 objects to sign
* @param expirySecs how long the signature stays valid, in seconds (default 43200 = 12h, clamped to [60, 604800])
* @returns signed s3 objects
*/
async signS3Objects(s3objects: S3Object[], { expirySecs }: { expirySecs?: number } = {}): Promise<S3Object[]>
/**
* Sign S3 object to be used by anonymous users in public apps
* @param s3object s3 object to sign
* @param expirySecs how long the signature stays valid, in seconds (default 43200 = 12h, clamped to [60, 604800])
* @returns signed s3 object
*/
async signS3Object(s3object: S3Object, { expirySecs }: { expirySecs?: number } = {}): Promise<S3Object>
/**
* Generate a presigned public URL for an array of S3 objects.
* If an S3 object is not signed yet, it will be signed first.
* @param s3Objects s3 objects to sign
* @param expirySecs how long the signature stays valid, in seconds (default 43200 = 12h, clamped to [60, 604800])
* @returns list of signed public URLs
*/
async getPresignedS3PublicUrls(s3Objects: S3Object[], { baseUrl, expirySecs }: { baseUrl?: string; expirySecs?: number } = {}): Promise<string[]>
/**
* Generate a presigned public URL for an S3 object. If the S3 object is not signed yet, it will be signed first.
* @param s3Object s3 object to sign
* @param expirySecs how long the signature stays valid, in seconds (default 43200 = 12h, clamped to [60, 604800])
* @returns signed public URL
*/
async getPresignedS3PublicUrl(s3Objects: S3Object, { baseUrl, expirySecs }: { baseUrl?: string; expirySecs?: number } = {}): Promise<string>
/**
* Get URLs needed for resuming a flow after this step
* @param approver approver name
* @param flowLevel if true, generate resume URLs for the parent flow instead of the specific step.
* This allows pre-approvals that can be consumed by any later suspend step in the same flow.
* @returns approval page UI URL, resume and cancel API URLs for resuming the flow
*/
async getResumeUrls(approver?: string, flowLevel?: boolean): Promise<{
approvalPage: string;
resume: string;
cancel: string;
}>
/**
* Get an OIDC jwt token for auth to external services (e.g: Vault, AWS) (ee only)
* @param audience audience of the token
* @param expiresIn Optional number of seconds until the token expires
* @returns jwt token
*/
async getIdToken(audience: string, expiresIn?: number): Promise<string>
/**
* Convert a base64-encoded string to Uint8Array
* @param data - Base64-encoded string
* @returns Decoded Uint8Array
*/
base64ToUint8Array(data: string): Uint8Array
/**
* Convert a Uint8Array to base64-encoded string
* @param arrayBuffer - Uint8Array to encode
* @returns Base64-encoded string
*/
uint8ArrayToBase64(arrayBuffer: Uint8Array): string
/**
* Sends an interactive approval request via Slack, allowing optional customization of the message, approver, and form fields.
*
* **[Enterprise Edition Only]** To include form fields in the Slack approval request, go to **Advanced -> Suspend -> Form**
* and define a form. Learn more at [Windmill Documentation](https://www.windmill.dev/docs/flows/flow_approval#form).
*
* @param {Object} options - The configuration options for the Slack approval request.
* @param {string} options.slackResourcePath - The path to the Slack resource in Windmill.
* @param {string} options.channelId - The Slack channel ID where the approval request will be sent.
* @param {string} [options.message] - Optional custom message to include in the Slack approval request.
* @param {string} [options.approver] - Optional user ID or name of the approver for the request.
* @param {DefaultArgs} [options.defaultArgsJson] - Optional object defining or overriding the default arguments to a form field.
* @param {Enums} [options.dynamicEnumsJson] - Optional object overriding the enum default values of an enum form field.
* @param {string} [options.resumeButtonText] - Optional text for the resume button.
* @param {string} [options.cancelButtonText] - Optional text for the cancel button.
*
* @returns {Promise<void>} Resolves when the Slack approval request is successfully sent.
*
* @throws {Error} If the function is not called within a flow or flow preview.
* @throws {Error} If the \`JobService.getSlackApprovalPayload\` call fails.
*
* **Usage Example:**
* \`\`\`typescript
* await requestInteractiveSlackApproval({
* slackResourcePath: "/u/alex/my_slack_resource",
* channelId: "admins-slack-channel",
* message: "Please approve this request",
* approver: "approver123",
* defaultArgsJson: { key1: "value1", key2: 42 },
* dynamicEnumsJson: { foo: ["choice1", "choice2"], bar: ["optionA", "optionB"] },
* resumeButtonText: "Resume",
* cancelButtonText: "Cancel",
* });
* \`\`\`
*
* **Note:** This function requires execution within a Windmill flow or flow preview.
*/
async requestInteractiveSlackApproval({ slackResourcePath, channelId, message, approver, defaultArgsJson, dynamicEnumsJson, resumeButtonText, cancelButtonText, }: SlackApprovalOptions): Promise<void>
/**
* Sends an interactive approval request via Teams, allowing optional customization of the message, approver, and form fields.
*
* **[Enterprise Edition Only]** To include form fields in the Teams approval request, go to **Advanced -> Suspend -> Form**
* and define a form. Learn more at [Windmill Documentation](https://www.windmill.dev/docs/flows/flow_approval#form).
*
* @param {Object} options - The configuration options for the Teams approval request.
* @param {string} options.teamName - The Teams team name where the approval request will be sent.
* @param {string} options.channelName - The Teams channel name where the approval request will be sent.
* @param {string} [options.message] - Optional custom message to include in the Teams approval request.
* @param {string} [options.approver] - Optional user ID or name of the approver for the request.
* @param {DefaultArgs} [options.defaultArgsJson] - Optional object defining or overriding the default arguments to a form field.
* @param {Enums} [options.dynamicEnumsJson] - Optional object overriding the enum default values of an enum form field.
*
* @returns {Promise<void>} Resolves when the Teams approval request is successfully sent.
*
* @throws {Error} If the function is not called within a flow or flow preview.
* @throws {Error} If the \`JobService.getTeamsApprovalPayload\` call fails.
*
* **Usage Example:**
* \`\`\`typescript
* await requestInteractiveTeamsApproval({
* teamName: "admins-teams",
* channelName: "admins-teams-channel",
* message: "Please approve this request",
* approver: "approver123",
* defaultArgsJson: { key1: "value1", key2: 42 },
* dynamicEnumsJson: { foo: ["choice1", "choice2"], bar: ["optionA", "optionB"] },
* });
* \`\`\`
*
* **Note:** This function requires execution within a Windmill flow or flow preview.
*/
async requestInteractiveTeamsApproval({ teamName, channelName, message, approver, defaultArgsJson, dynamicEnumsJson, }: TeamsApprovalOptions): Promise<void>
setWorkflowCtx(ctx: WorkflowCtx | null): void
async sleep(seconds: number): Promise<void>
/**
* Execute \`fn\` inline and checkpoint the result. On replay the cached value is
* returned without re-executing \`fn\`.
*
* \`fn\`'s result is encoded as JSON and decoded back before it is returned, so
* the round that runs the body sees the same types every replay sees: a \`Date\`
* comes back as a string, a \`Map\` as \`{}\`. {@link Jsonified} is that shape.
*/
async step<T>(name: string, fn: () => T | Promise<T>,): Promise<Jsonified<Awaited<T>>>
/**
* Create a task that dispatches to a separate Windmill script.
*
* @example
* const extract = taskScript("f/data/extract");
* // inside workflow: await extract({ url: "https://..." })
*/
taskScript(path: string, options?: TaskOptions): (...args: any[]) => PromiseLike<any>
/**
* Create a task that dispatches to a separate Windmill flow.
*
* @example
* const pipeline = taskFlow("f/etl/pipeline");
* // inside workflow: await pipeline({ input: data })
*/
taskFlow(path: string, options?: TaskOptions): (...args: any[]) => PromiseLike<any>
/**
* Mark an async function as a workflow-as-code entry point.
*
* The function must be **deterministic**: given the same inputs it must call
* tasks in the same order on every replay. Branching on task results is fine
* (results are replayed from checkpoint), but branching on external state
* (current time, random values, external API calls) must use \`step()\` to
* checkpoint the value so replays see the same result.
*/
workflow<T>(fn: (...args: any[]) => Promise<T>): void
/**
* Suspend the workflow and wait for an external approval.
*
* Pass \`key\` to name the step, then \`getApprovalUrls(key)\` yields the URLs that
* resume exactly this approval — route them through your own channel. Without a
* key the steps are named \`approval\`, \`approval_2\`, ...
*
* \`skin: "minimal"\` shows approvers only the request (form and approve/reject)
* instead of the detailed page with the workflow's details. \`description\` is
* shown above the form: a string, or a rich value such as \`{ markdown: "..." }\`.
*
* @example
* const urls = await step("urls", () => getApprovalUrls("manager"));
* await step("notify", () => sendEmail(urls.resume, urls.cancel));
* const { value, approver } = await waitForApproval({ key: "manager", timeout: 3600 });
*/
waitForApproval(options?: { timeout?: number; form?: object; selfApproval?: boolean; key?: string; skin?: "detailed" | "minimal"; description?: string | object; }): PromiseLike<{ value: any; approver: string; approved: boolean }>
/**
* Resume/cancel/approval-page URLs bound to one \`waitForApproval\` step.
*
* Unlike \`getResumeUrls()\`, which signs a random nonce, these address the very
* \`resume_job\` record the step's built-in approval buttons use, so they are
* stable across replays and safe to embed in a custom notification.
*
* \`stepKey\` must match the \`key\` given to \`waitForApproval\`. Keys must be unique
* within a workflow; reusing one throws rather than silently renaming it. The URL
* only resumes while that step is awaiting approval; used at any other moment it is
* rejected rather than banking a row a different approval would consume. Send it
* ahead of time — approvers just cannot act before the workflow reaches the step.
*
* \`resume\` and \`cancel\` are step-bound; \`approvalPage\` is not — it opens the job's
* approval page, which acts on whichever approval is pending when it is used.
*
* @example
* const urls = await step("urls", () => getApprovalUrls("manager"));
* await step("notify", () => sendEmail(urls.resume, urls.cancel));
* await waitForApproval({ key: "manager" });
*/
async getApprovalUrls(stepKey: string = "approval", approver?: string): Promise<{
approvalPage: string;
resume: string;
cancel: string;
}>
/**
* Process items in parallel with optional concurrency control.
*
* Each item is processed by calling \`fn(item)\`, which should be a task().
* Items are dispatched in batches of \`concurrency\` (default: all at once).
*
* @example
* const process = task(async (item: string) => { ... });
* const results = await parallel(items, process, { concurrency: 5 });
*/
async parallel<T, R>(items: T[], fn: (item: T) => PromiseLike<R> | R, options?: { concurrency?: number },): Promise<R[]>
/**
* Commit Kafka offsets for a trigger with auto_commit disabled.
* @param triggerPath - Path to the Kafka trigger (from event.wm_trigger.trigger_path)
* @param topic - Kafka topic name (from event.topic)
* @param partition - Partition number (from event.partition)
* @param offset - Message offset to commit (from event.offset)
*/
async commitKafkaOffsets(triggerPath: string, topic: string, partition: number, offset: number,): Promise<void>
/**
* Parse an S3 object from URI string or record format
* @param s3Object - S3 object as URI string (\`s3://storage/key\`, \`s3:///key\`
* for the default storage) or record. Any other string throws rather than
* falling back to an auto-generated key: an auto key is requested by
* omitting the object, and a fallback would silently misplace the upload
* on any typo.
* @returns S3 object record with storage and s3 key
*/
parseS3Object(s3Object: S3Object): S3ObjectRecord
/**
* Create a SQL template function for PostgreSQL/datatable queries
* @param name - Database/datatable name (default: "main")
* @param opts.role - Connect as this data table role instead of the data table's default one.
* Only meaningful on a data table under roles, and only for a role you are a tenant of.
* @returns SQL template function for building parameterized queries
* @example
* let sql = wmill.datatable()
* let name = 'Robin'
* let age = 21
* await sql\`
* SELECT * FROM friends
* WHERE name = \${name} AND age = \${age}::int
* \`.fetch()
* @example
* // Read through a restricted role
* let sql = wmill.datatable("main", { role: "analytics" })
*/
datatable(name: string = "main", opts?: DatatableOptions): DatatableSqlTemplateFunction
/**
* Create a SQL template function for DuckDB/ducklake queries
* @param name - DuckDB database name, optionally with a schema as \`name:schema\` (default: "main")
* @returns SQL template function for building parameterized queries
* @example
* let sql = wmill.ducklake()
* let name = 'Robin'
* let age = 21
* await sql\`
* SELECT * FROM friends
* WHERE name = \${name} AND age = \${age}
* \`.fetch()
* @example
* // Target a specific schema within the ducklake
* let sql = wmill.ducklake("my_lake:analytics")
*/
ducklake(name: string = "main"): SqlTemplateFunction
/**
* Idempotently materialize \`selectSql\` into a ducklake table for one
* partition (or the whole table when \`partition\` is omitted) — the client-side
* equivalent of the \`// materialize\` engine.
* With \`uniqueKey\` it upserts the slice (delete-by-key + insert); otherwise it
* replaces it (whole table → \`CREATE OR REPLACE\`; partition → delete + insert).
* Safe to re-run for the same partition (backfill / failure-recovery).
*
* Returns a lazy statement — call \`.execute()\` to run it:
* \`await wmill.upsertPartition({ table, selectSql, partition }).execute()\`.
*/
upsertPartition(opts: DucklakeMaterializeOptions): SqlStatement<any>
/**
* INSERT-only materialization (no dedup/replace) for append-only tables.
* Re-running the same partition duplicates rows — use only for immutable
* event-log sources.
*
* Returns a lazy statement — call \`.execute()\` to run it:
* \`await wmill.appendPartition({ table, selectSql, partition }).execute()\`.
*/
appendPartition(opts: Omit<DucklakeMaterializeOptions, "uniqueKey">,): SqlStatement<any>
`;
export const SDK_PYTHON = `# Python SDK (wmill)
Import: import wmill
The client configures itself from the job's environment — base URL, token and credentials mode
are all set before your code runs, so there is nothing to initialize and no reason to read
WM_TOKEN or BASE_INTERNAL_URL and build an API URL yourself. Reconstructing that by hand only
reintroduces details the client already handles. Call the SDK for anything Windmill, and use raw
HTTP for third-party APIs.
The functions below are the surface to prefer. For an endpoint none of them covers,
wmill.Windmill().get(endpoint) and .post(endpoint) issue an authenticated request against this
instance. What does not exist is a function name you guessed at: if it is not listed below, do
not call it.
To know who is running the script, read the contextual variables rather than calling the API:
\`os.environ.get("WM_END_USER_EMAIL") or os.environ.get("WM_EMAIL")\`. WM_END_USER_EMAIL is the app
viewer when the run was triggered from an app and empty otherwise (both variables are always
defined), WM_EMAIL is the user the job is permissioned as. WM_USERNAME is the matching username.
def worker_has_internal_server() -> bool
def get_mocked_api() -> Optional[dict]
# Get the HTTP client instance.
#
# Returns:
# Configured httpx.Client for API requests
def get_client() -> httpx.Client
# Make an HTTP GET request to the Windmill API.
#
# Args:
# endpoint: API endpoint path
# raise_for_status: Whether to raise an exception on HTTP errors
# **kwargs: Additional arguments passed to httpx.get
#
# Returns:
# HTTP response object
def get(endpoint, raise_for_status = True, **kwargs) -> httpx.Response
# Make an HTTP POST request to the Windmill API.
#
# Args:
# endpoint: API endpoint path
# raise_for_status: Whether to raise an exception on HTTP errors
# **kwargs: Additional arguments passed to httpx.post
#
# Returns:
# HTTP response object
def post(endpoint, raise_for_status = True, **kwargs) -> httpx.Response
# Create a new authentication token.
#
# Args:
# duration: Token validity duration (default: 1 day)
#
# Returns:
# New authentication token string
def create_token(duration = dt.timedelta(days=1)) -> str
# Create a script job by path and return its job id.
#
# \`\`retry\`\` re-runs the job when it fails, with the policy a schedule takes,
# e.g. \`\`{"constant": {"attempts": 3, "seconds": 10}}\`\`. The returned id is
# the first attempt's; each retry is a job of its own, recorded as a child of it.
def run_script_by_path_async(path: str, args: dict = None, scheduled_in_secs: int = None, tag: str = None, retry: dict = None) -> str
# Create a script job by hash and return its job id. See \`\`run_script_by_path_async\`\` for \`\`retry\`\`.
def run_script_by_hash_async(hash_: str, args: dict = None, scheduled_in_secs: int = None, tag: str = None, retry: dict = None) -> str
# Create a flow job and return its job id.
def run_flow_async(path: str, args: dict = None, scheduled_in_secs: int = None, do_not_track_in_parent: bool = True, tag: str = None) -> str
# Run script by path synchronously and return its result.
def run_script_by_path(path: str, args: dict = None, timeout: dt.timedelta | int | float | None = None, verbose: bool = False, cleanup: bool = True, assert_result_is_not_none: bool = False, tag: str = None) -> Any
# Run script by hash synchronously and return its result.
def run_script_by_hash(hash_: str, args: dict = None, timeout: dt.timedelta | int | float | None = None, verbose: bool = False, cleanup: bool = True, assert_result_is_not_none: bool = False, tag: str = None) -> Any
# Run a script on the current worker without creating a job.
#
# On agent workers (no internal server), falls back to running a normal
# preview job and waiting for the result.
def run_inline_script_preview(content: str, language: str, args: dict = None) -> Any
# Wait for a job to complete and return its result.
#
# Args:
# job_id: ID of the job to wait for
# timeout: Maximum time to wait (seconds or timedelta)
# verbose: Enable verbose logging
# cleanup: Register cleanup handler to cancel job on exit
# assert_result_is_not_none: Raise exception if result is None
#
# Returns:
# Job result when completed
#
# Raises:
# TimeoutError: If timeout is reached
# Exception: If job fails
def wait_job(job_id, timeout: dt.timedelta | int | float | None = None, verbose: bool = False, cleanup: bool = True, assert_result_is_not_none: bool = False)
# Cancel a specific job by ID.
#
# Args:
# job_id: UUID of the job to cancel
# reason: Optional reason for cancellation
#
# Returns:
# Response message from the cancel endpoint
def cancel_job(job_id: str, reason: str = None) -> str
# Cancel currently running executions of the same script.
def cancel_running() -> dict
# Get job details by ID.
#
# Args:
# job_id: UUID of the job
#
# Returns:
# Job details dictionary
def get_job(job_id: str) -> dict
# Get the root job ID for a flow hierarchy.
#
# Args:
# job_id: Job ID (defaults to current WM_JOB_ID)
#
# Returns:
# Root job ID
def get_root_job_id(job_id: str | None = None) -> dict
# Get an OIDC JWT token for authentication to external services.
#
# Args:
# audience: Token audience (e.g., "vault", "aws")
# expires_in: Optional expiration time in seconds
#
# Returns:
# JWT token string
def get_id_token(audience: str, expires_in: int | None = None) -> str
# Get the status of a job.
#
# Args:
# job_id: UUID of the job
#
# Returns:
# Job status: "RUNNING", "WAITING", or "COMPLETED"
def get_job_status(job_id: str) -> JobStatus
# Get the result of a completed job.
#
# Args:
# job_id: UUID of the completed job
# assert_result_is_not_none: Raise exception if result is None
#
# Returns:
# Job result
def get_result(job_id: str, assert_result_is_not_none: bool = True) -> Any
# Get a variable value by path.
#
# Args:
# path: Variable path in Windmill
#
# Returns:
# Variable value as string
def get_variable(path: str) -> str
# Set a variable value by path, creating it if it doesn't exist.
#
# Args:
# path: Variable path in Windmill
# value: Variable value to set
# is_secret: Whether the variable should be secret (default: False)
def set_variable(path: str, value: str, is_secret: bool = False) -> None
# Get a resource value by path.
#
# Args:
# path: Resource path in Windmill
# none_if_undefined: Return None instead of raising if not found
# interpolated: if variables and resources are fully unrolled
#
# Returns:
# Resource value dictionary or None
def get_resource(path: str, none_if_undefined: bool = False, interpolated: bool = True) -> dict | None
# Set a resource value by path, creating it if it doesn't exist.
#
# Args:
# value: Resource value to set
# path: Resource path in Windmill
# resource_type: Resource type for creation
def set_resource(value: Any, path: str, resource_type: str)
# List resources from Windmill workspace.
#
# Args:
# resource_type: Optional resource type to filter by (e.g., "postgresql", "mysql", "s3")
# page: Optional page number for pagination
# per_page: Optional number of results per page
#
# Returns:
# List of resource dictionaries
def list_resources(resource_type: str = None, page: int = None, per_page: int = None) -> list[dict]
# Set the workflow state.
#
# Args:
# value: State value to set
# path: Optional state resource path override.
def set_state(value: Any, path: str | None = None) -> None
# Get the workflow state.
#
# Args:
# path: Optional state resource path override.
#
# Returns:
# State value or None if not set
def get_state(path: str | None = None) -> Any
# Set job progress percentage (0-99).
#
# Args:
# value: Progress percentage
# job_id: Job ID (defaults to current WM_JOB_ID)
def set_progress(value: int, job_id: Optional[str] = None)
# Get job progress percentage.
#
# Args:
# job_id: Job ID (defaults to current WM_JOB_ID)
#
# Returns:
# Progress value (0-100) or None if not set
def get_progress(job_id: Optional[str] = None) -> Any
# Whether the worker running the job has received its shutdown signal.
#
# A draining worker waits for its current job to finish before exiting. A long-running
# script can poll this and return early so the worker can be replaced.
#
# Args:
# job_id: Job ID (defaults to current WM_JOB_ID)
#
# Returns:
# True if the worker running the job is draining
def worker_is_draining(job_id: Optional[str] = None) -> bool
# Set the user state of a flow at a given key
def set_flow_user_state(key: str, value: Any) -> None
# Get the user state of a flow at a given key
def get_flow_user_state(key: str) -> Any
# Get the Windmill server version.
#
# Returns:
# Version string
def version()
# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from DuckDB
def get_duckdb_connection_settings(s3_resource_path: str = '') -> DuckDbConnectionSettings | None
# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from Polars
def get_polars_connection_settings(s3_resource_path: str = '') -> PolarsConnectionSettings
# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection using boto3
def get_boto3_connection_settings(s3_resource_path: str = '') -> Boto3ConnectionSettings
# Load a file from the workspace s3 bucket and returns its content as bytes.
#
# '''python
# from wmill import S3Object
#
# s3_obj = S3Object(s3="/path/to/my_file.txt")
# my_obj_content = client.load_s3_file(s3_obj)
# file_content = my_obj_content.decode("utf-8")
# '''
def load_s3_file(s3object: S3Object | str, s3_resource_path: str | None) -> bytes
# Load a file from the workspace s3 bucket and returns the bytes stream.
#
# '''python
# from wmill import S3Object
#
# s3_obj = S3Object(s3="/path/to/my_file.txt")
# with wmill.load_s3_file_reader(s3object, s3_resource_path) as file_reader:
# print(file_reader.read())
# '''
def load_s3_file_reader(s3object: S3Object | str, s3_resource_path: str | None) -> BufferedReader
# Write a file to the workspace S3 bucket
#
# '''python
# from wmill import S3Object
#
# s3_obj = S3Object(s3="/path/to/my_file.txt")
#
# # for an in memory bytes array:
# file_content = b'Hello Windmill!'
# client.write_s3_file(s3_obj, file_content)
#
# # for a file:
# with open("my_file.txt", "rb") as my_file:
# client.write_s3_file(s3_obj, my_file)
# '''
def write_s3_file(s3object: S3Object | str | None, file_content: BufferedReader | bytes, s3_resource_path: str | None, content_type: str | None = None, content_disposition: str | None = None) -> S3Object
# Permanently delete a file from the workspace S3 bucket.
#
# '''python
# from wmill import S3Object
#
# s3_obj = S3Object(s3="/path/to/my_file.txt")
# client.delete_s3_object(s3_obj)
# '''
def delete_s3_object(s3object: S3Object | str, s3_resource_path: str | None = None) -> None
# Sign S3 objects for use by anonymous users in public apps.
#
# Args:
# s3_objects: List of S3 objects to sign
# expiry_secs: How long the signature stays valid, in seconds
# (defaults to 43200 = 12h, clamped to [60, 604800])
#
# Returns:
# List of signed S3 objects
def sign_s3_objects(s3_objects: list[S3Object | str], expiry_secs: int | None = None) -> list[S3Object]
# Sign a single S3 object for use by anonymous users in public apps.
#
# Args:
# s3_object: S3 object to sign
# expiry_secs: How long the signature stays valid, in seconds
# (defaults to 43200 = 12h, clamped to [60, 604800])
#
# Returns:
# Signed S3 object
def sign_s3_object(s3_object: S3Object | str, expiry_secs: int | None = None) -> S3Object
# Generate presigned public URLs for an array of S3 objects.
# If an S3 object is not signed yet, it will be signed first.
#
# Args:
# s3_objects: List of S3 objects to sign
# base_url: Optional base URL for the presigned URLs (defaults to WM_BASE_URL)
# expiry_secs: How long the signatures stay valid, in seconds
# (defaults to 43200 = 12h, clamped to [60, 604800])
#
# Returns:
# List of signed public URLs
#
# Example:
# >>> s3_objs = [S3Object(s3="/path/to/file1.txt"), S3Object(s3="/path/to/file2.txt")]
# >>> urls = client.get_presigned_s3_public_urls(s3_objs)
def get_presigned_s3_public_urls(s3_objects: list[S3Object | str], base_url: str | None = None, expiry_secs: int | None = None) -> list[str]
# Generate a presigned public URL for an S3 object.
# If the S3 object is not signed yet, it will be signed first.
#
# Args:
# s3_object: S3 object to sign
# base_url: Optional base URL for the presigned URL (defaults to WM_BASE_URL)
# expiry_secs: How long the signature stays valid, in seconds
# (defaults to 43200 = 12h, clamped to [60, 604800])
#
# Returns:
# Signed public URL
#
# Example:
# >>> s3_obj = S3Object(s3="/path/to/file.txt")
# >>> url = client.get_presigned_s3_public_url(s3_obj)
def get_presigned_s3_public_url(s3_object: S3Object | str, base_url: str | None = None, expiry_secs: int | None = None) -> str
# Get the current user information.
#
# Returns:
# User details dictionary
def whoami() -> dict
# Get the current user information (alias for whoami).
#
# Returns:
# User details dictionary
def user() -> dict
# Get the state resource path from environment.
#
# Returns:
# State path string
def state_path() -> str
# Get the workflow state.
#
# Returns:
# State value or None if not set
def state() -> Any
# Set the state in the shared folder using pickle
def set_shared_state_pickle(value: Any, path: str = 'state.pickle') -> None
# Get the state in the shared folder using pickle
def get_shared_state_pickle(path: str = 'state.pickle') -> Any
# Set the state in the shared folder using pickle
def set_shared_state(value: Any, path: str = 'state.json') -> None
# Get the state in the shared folder using pickle
def get_shared_state(path: str = 'state.json') -> None
# Get URLs needed for resuming a flow after suspension.
#
# Args:
# approver: Optional approver name
# flow_level: If True, generate resume URLs for the parent flow instead of the
# specific step. This allows pre-approvals that can be consumed by any later
# suspend step in the same flow.
#
# Returns:
# Dictionary with approvalPage, resume, and cancel URLs
def get_resume_urls(approver: str = None, flow_level: bool = None) -> dict
# Get the resume URLs bound to one \`\`wait_for_approval\`\` step of this workflow.
#
# Args:
# step_key: Checkpoint key of the approval step, as passed to
# \`\`wait_for_approval(key=...)\`\`
# approver: Optional approver name
#
# Returns:
# Dictionary with approvalPage, resume, and cancel URLs
def get_approval_urls(step_key: str = 'approval', approver: str = None) -> dict
# Sends an interactive approval request via Slack, allowing optional customization of the message, approver, and form fields.
#
# **[Enterprise Edition Only]** To include form fields in the Slack approval request, use the "Advanced -> Suspend -> Form" functionality.
# Learn more at: https://www.windmill.dev/docs/flows/flow_approval#form
#
# :param slack_resource_path: The path to the Slack resource in Windmill.
# :type slack_resource_path: str
# :param channel_id: The Slack channel ID where the approval request will be sent.
# :type channel_id: str
# :param message: Optional custom message to include in the Slack approval request.
# :type message: str, optional
# :param approver: Optional user ID or name of the approver for the request.
# :type approver: str, optional
# :param default_args_json: Optional dictionary defining or overriding the default arguments for form fields.
# :type default_args_json: dict, optional
# :param dynamic_enums_json: Optional dictionary overriding the enum default values of enum form fields.
# :type dynamic_enums_json: dict, optional
#
# :raises Exception: If the function is not called within a flow or flow preview.
# :raises Exception: If the required flow job or flow step environment variables are not set.
#
# :return: None
#
# **Usage Example:**
# >>> client.request_interactive_slack_approval(
# ... slack_resource_path="/u/alex/my_slack_resource",
# ... channel_id="admins-slack-channel",
# ... message="Please approve this request",
# ... approver="approver123",
# ... default_args_json={"key1": "value1", "key2": 42},
# ... dynamic_enums_json={"foo": ["choice1", "choice2"], "bar": ["optionA", "optionB"]},
# ... )
#
# **Notes:**
# - This function must be executed within a Windmill flow or flow preview.
# - The function checks for required environment variables (\`WM_FLOW_JOB_ID\`, \`WM_FLOW_STEP_ID\`) to ensure it is run in the appropriate context.
def request_interactive_slack_approval(slack_resource_path: str, channel_id: str, message: str = None, approver: str = None, default_args_json: dict = None, dynamic_enums_json: dict = None) -> None
# Send a message to a Microsoft Teams conversation with conversation_id, where success is used to style the message
def send_teams_message(conversation_id: str, text: str, success: bool = True, card_block: dict = None)
# Get a DataTable client for SQL queries.
#
# Args:
# name: Database name (default: "main")
# role: Connect as this data table role instead of the data table's default one.
# Only meaningful on a data table under roles, and only for a role you are a
# tenant of.
#
# Returns:
# DataTableClient instance
def datatable(name: str = 'main', *, role: Optional[str] = None)
# Get a DuckLake client for DuckDB queries.
#
# Args:
# name: Database name (default: "main")
#
# Returns:
# DucklakeClient instance
def ducklake(name: str = 'main')
def init_global_client(f)
def deprecate(in_favor_of: str)
# Get the current workspace ID.
#
# Returns:
# Workspace ID string
def get_workspace() -> str
def get_version() -> str
# Create a script job and return its job ID.
#
# Args:
# hash_or_path: Script hash or path (determined by presence of '/')
# args: Script arguments
# scheduled_in_secs: Delay before execution in seconds
# tag: Override the worker tag the job runs on
#
# Returns:
# Job ID string
def run_script_async(hash_or_path: str, args: Dict[str, Any] = None, scheduled_in_secs: int = None, tag: str = None) -> str
# Run a script synchronously by hash and return its result.
#
# Args:
# hash: Script hash
# args: Script arguments
# verbose: Enable verbose logging
# assert_result_is_not_none: Raise exception if result is None
# cleanup: Register cleanup handler to cancel job on exit
# timeout: Maximum time to wait
# tag: Override the worker tag the job runs on
#
# Returns:
# Script result
def run_script_sync(hash: str, args: Dict[str, Any] = None, verbose: bool = False, assert_result_is_not_none: bool = True, cleanup: bool = True, timeout: dt.timedelta = None, tag: str = None) -> Any
# Run a script synchronously by path and return its result.
#
# Args:
# path: Script path
# args: Script arguments
# verbose: Enable verbose logging
# assert_result_is_not_none: Raise exception if result is None
# cleanup: Register cleanup handler to cancel job on exit
# timeout: Maximum time to wait
# tag: Override the worker tag the job runs on
#
# Returns:
# Script result
def run_script_by_path_sync(path: str, args: Dict[str, Any] = None, verbose: bool = False, assert_result_is_not_none: bool = True, cleanup: bool = True, timeout: dt.timedelta = None, tag: str = None) -> Any
# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from DuckDB
def duckdb_connection_settings(s3_resource_path: str = '') -> DuckDbConnectionSettings
# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from Polars
def polars_connection_settings(s3_resource_path: str = '') -> PolarsConnectionSettings
# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection using boto3
def boto3_connection_settings(s3_resource_path: str = '') -> Boto3ConnectionSettings
# Get the state resource path from environment.
#
# Returns:
# State path string
def get_state_path() -> str
# Parse resource syntax from string.
def parse_resource_syntax(s: str) -> Optional[str]
# Parse S3 object from a \`s3://<storage>/<key>\` URI string (\`s3:///<key>\`
# for the default storage) or S3Object format. Any other string raises
# rather than falling back to an auto-generated key: an auto key is
# requested by omitting the object, and a fallback would silently misplace
# the upload on any typo.
def parse_s3_object(s3_object: S3Object | str) -> S3Object
# Parse variable syntax from string.
def parse_variable_syntax(s: str) -> Optional[str]
# Append a text to the result stream.
#
# Args:
# text: text to append to the result stream
def append_to_result_stream(text: str) -> None
# Stream to the result stream.
#
# Args:
# stream: stream to stream to the result stream
def stream_result(stream) -> None
# Execute a SQL query against the DataTable.
#
# Args:
# sql: SQL query string with $1, $2, etc. placeholders
# *args: Positional arguments to bind to query placeholders
#
# Returns:
# SqlQuery instance for fetching results
def query(sql: str, *args) -> SqlQuery
# Idempotently materialize the rows of \`select_sql\` into ducklake
# \`table\` for one \`partition\` (or the whole table when \`partition\` is
# None). Client-side equivalent of the \`// materialize\` engine: with
# \`unique_key\` it upserts within the slice (delete-by-key + insert);
# without it, it replaces (whole table → CREATE OR REPLACE; partition →
# delete the partition + insert). Re-running the same slice is safe — the
# backfill / failure-recovery contract.
#
# The partition value is bound as a DuckDB arg (never string-interpolated)
# so it cannot inject SQL. \`select_sql\` is trusted (your own query).
def upsert_partition(table: str, select_sql: str, partition: str = None, unique_key: str = None, partition_col: str = '_wm_partition', schema: str = None)
# INSERT-only materialization (no dedup / no replace) for an immutable
# event-log table — for one \`partition\`, or the whole table when
# \`partition\` is None. NOTE: unlike \`upsert_partition\`, re-running the same
# slice duplicates rows — use only for append-only sources.
def append_partition(table: str, select_sql: str, partition: str = None, partition_col: str = '_wm_partition', schema: str = None)
# Read a materialized ducklake table, optionally a single partition.
def read(table: str, partition: str = None, partition_col: str = '_wm_partition', schema: str = None)
# Execute query and fetch results.
#
# Args:
# result_collection: Optional result collection mode
#
# Returns:
# Query results
def fetch(result_collection: str | None = None)
# Execute query and fetch first row of results.
#
# Returns:
# First row of query results
def fetch_one()
# Execute query and fetch first row of results. Return result as a scalar value.
#
# Returns:
# First row of query result as a scalar value
def fetch_one_scalar()
# Execute query and don't return any results.
#
def execute()
# DuckDB executor requires explicit argument types at declaration
# These types exist in both DuckDB and Postgres
# Check that the types exist if you plan to extend this function for other SQL engines.
def infer_sql_type(value) -> str
def parse_sql_client_name(name: str) -> tuple[str, Optional[str]]
# Decorator that marks a function as a workflow task.
#
# Works in both WAC v1 (sync, HTTP-based dispatch) and WAC v2
# (async, checkpoint/replay) modes:
#
# - **v2 (inside @workflow)**: dispatches as a checkpoint step.
# - **v1 (WM_JOB_ID set, no @workflow)**: dispatches via HTTP API.
# - **Standalone**: executes the function body directly.
#
# A task runs as its own job, so its result is always encoded as JSON and
# decoded back before the caller sees it: a \`\`datetime\`\` comes back as a
# string, a tuple as a list.
#
# \`\`retry\`\` re-dispatches the task after a failure, inside \`\`@workflow\`\` only.
# Every attempt is a step of its own (\`\`call_api\`\`, \`\`call_api#2\`\`, ...) and
# the wait between two of them is a durable sleep, so a retrying task holds no
# worker while it backs off. Keys: \`\`attempts\`\` (retries after the first
# failure, a whole number from 0 to 100), \`\`delay\`\` (seconds before the first
# retry, sub-second delays dropped), \`\`multiplier\`\` (applied to the delay
# after each attempt, 1 keeps it constant), \`\`max_delay\`\` (ceiling in
# seconds). \`\`attempts\`\` is required, and an out-of-range or unknown key is
# rejected where the policy is written.
#
# A workflow sleeps once per round, so tasks backing off in the same fan-out
# wait one after another rather than together: the delay before a fan-out
# retries is the sum of every backoff pending in it, not the longest one, and
# it grows with both the width of the fan-out and \`\`attempts\`\`. Retries with
# no \`\`delay\`\` all go out in a single round.
#
# \`\`cache_ttl\`\` serves a previous result of the task for that many seconds
# instead of running it again. A task is keyed on its step key (its name and
# call order) and the workflow's input, not on the arguments it is called
# with, so cache one only when whether it runs, and what it receives, follow
# from the workflow's input alone. A \`\`task_script\`\` target is keyed on the
# arguments it is called with. It has no effect on a \`\`task_flow\`\` target,
# which keeps its flow's own cache policy.
#
# Usage::
#
# @task
# async def extract_data(url: str): ...
#
# @task(path="f/external_script", timeout=600, tag="gpu")
# async def run_external(x: int): ...
#
# @task(retry={"attempts": 3, "delay": 30, "multiplier": 2})
# async def call_api(payload: dict): ...
def task(_func = None, *, path: Optional[str] = None, tag: Optional[str] = None, timeout: Optional[int] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None, retry: Optional[dict] = None)
# Create a task that dispatches to a separate Windmill script.
#
# \`\`retry\`\` takes the same policy as :func:\`task\`.
#
# Usage::
#
# extract = task_script("f/data/extract", timeout=600)
#
# @workflow
# async def main():
# data = await extract(url="https://...")
def task_script(path: str, *, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None, retry: Optional[dict] = None)
# Create a task that dispatches to a separate Windmill flow.
#
# \`\`retry\`\` takes the same policy as :func:\`task\`.
#
# Usage::
#
# pipeline = task_flow("f/etl/pipeline", priority=10)
#
# @workflow
# async def main():
# result = await pipeline(input=data)
def task_flow(path: str, *, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None, retry: Optional[dict] = None)
# Decorator marking an async function as a workflow-as-code entry point.
#
# The function must be **deterministic**: given the same inputs it must call
# tasks in the same order on every replay. Branching on task results is fine
# (results are replayed from checkpoint), but branching on external state
# (current time, random values, external API calls) must use \`\`step()\`\` to
# checkpoint the value so replays see the same result.
def workflow(func)
# Execute \`\`fn\`\` inline and checkpoint the result.
#
# On replay the cached value is returned without re-executing \`\`fn\`\`.
# Use for lightweight deterministic operations (timestamps, random IDs,
# config reads) that should not incur the overhead of a child job.
#
# \`\`fn\`\`'s result is encoded as JSON and decoded back before it is returned,
# so the round that runs the body sees the same types every replay sees:
# a \`\`datetime\`\` comes back as a string, a tuple as a list.
async def step(name: str, fn)
# Server-side sleep — suspend the workflow for the given duration without holding a worker.
#
# Inside a @workflow, the parent job suspends and auto-resumes after \`\`seconds\`\`.
# Outside a workflow, falls back to \`\`asyncio.sleep\`\`.
async def sleep(seconds: int)
# Suspend the workflow and wait for an external approval.
#
# Pass \`\`key\`\` to name the step, then \`\`get_approval_urls(key)\`\` yields the URLs
# that resume exactly this approval — route them through your own channel.
# Without a key the steps are named \`\`approval\`\`, \`\`approval_2\`\`, ...
#
# Returns a dict with \`\`value\`\` (form data), \`\`approver\`\`, and \`\`approved\`\`.
#
# Args:
# timeout: Approval timeout in seconds (default 1800).
# form: Optional form schema for the approval page.
# self_approval: Whether the user who triggered the flow can approve it (default True).
# key: Optional checkpoint key naming this approval step.
# skin: \`\`"minimal"\`\` shows approvers only the request (form and approve/reject)
# instead of the detailed page with the workflow's details.
# description: Shown to approvers above the form: a string, or a rich value such as
# \`\`{"markdown": "..."}\`\`.
#
# Example::
#
# urls = await step("urls", lambda: get_approval_urls("manager"))
# await step("notify", lambda: send_email(urls["resume"], urls["cancel"]))
# result = await wait_for_approval(key="manager", timeout=3600)
async def wait_for_approval(timeout: int = 1800, form: dict | None = None, self_approval: bool = True, key: str | None = None, skin: Literal['detailed', 'minimal'] | None = None, description: str | dict | None = None) -> dict
# Process items in parallel with optional concurrency control.
#
# Each item is processed by calling \`\`fn(item)\`\`, which should be a @task.
# Items are dispatched in batches of \`\`concurrency\`\` (default: all at once).
#
# Example::
#
# @task
# async def process(item: str):
# ...
#
# results = await parallel(items, process, concurrency=5)
async def parallel(items, fn, *, concurrency: Optional[int] = None)
# Commit Kafka offsets for a trigger with auto_commit disabled.
#
# Args:
# trigger_path: Path to the Kafka trigger (from event['wm_trigger']['trigger_path'])
# topic: Kafka topic name (from event['topic'])
# partition: Partition number (from event['partition'])
# offset: Message offset to commit (from event['offset'])
def commit_kafka_offsets(trigger_path: str, topic: str, partition: int, offset: int) -> None
`;
export const WAC_SDK_TYPESCRIPT = `## TypeScript Workflow-as-Code API (windmill-client)
Import: \`import { workflow, task, taskScript, taskFlow, step, sleep, waitForApproval, getApprovalUrls, getResumeUrls, parallel } from "windmill-client"\`
\`\`\`typescript
/**
* Re-dispatch policy for a failed task.
*
* Every attempt is a step of its own (\`fetch\`, \`fetch#2\`, \`fetch#3\`), and the
* wait between two of them is a durable sleep, so a retrying task holds no
* worker while it backs off.
*
* A workflow sleeps once per round, so tasks backing off in the same fan-out
* wait one after another rather than together: the delay before a fan-out
* retries is the sum of every backoff pending in it, not the longest one, and
* it grows with both the width of the fan-out and \`attempts\`. Retries with no
* \`delay\` all go out in a single round.
*/
export interface TaskRetry {
/** Attempts after the first failure: \`2\` runs the task at most 3 times.
* A whole number from 0 to 100; anything else is rejected where the policy
* is written. */
attempts: number;
/** Seconds to wait before the first retry. Default 0, retry immediately.
* Sub-second delays are dropped — a durable sleep resolves to the second. */
delay?: number;
/** Applied to the delay after each attempt: 1 (the default) keeps it
* constant, 2 doubles it. */
multiplier?: number;
/** Ceiling for the delay in seconds, for a \`multiplier\` above 1. */
max_delay?: number;
}
export interface TaskOptions {
timeout?: number;
tag?: string;
/** Seconds during which a previous result of this task is served instead of
* running it again. A task written inline in the workflow is keyed on its
* step key (its name and call order) and the workflow's input, not on the
* arguments it is called with, so cache one only when whether it runs, and
* what it receives, follow from the workflow's input alone. A \`taskScript\`
* target is keyed on the arguments it is called with. It has no effect on a
* \`taskFlow\` target, which keeps its flow's own cache policy. */
cache_ttl?: number;
priority?: number;
concurrency_limit?: number;
concurrency_key?: string;
concurrency_time_window_s?: number;
retry?: TaskRetry;
}
/**
* Get URLs needed for resuming a flow after this step
* @param approver approver name
* @param flowLevel if true, generate resume URLs for the parent flow instead of the specific step.
* This allows pre-approvals that can be consumed by any later suspend step in the same flow.
* @returns approval page UI URL, resume and cancel API URLs for resuming the flow
*/
export async function getResumeUrls(approver?: string, flowLevel?: boolean): Promise<{ approvalPage: string; resume: string; cancel: string; }>
/**
* Wrap an async function as a workflow task.
*
* @example
* const extract_data = task(async (url: string) => { ... });
* const run_external = task("f/external_script", async (x: number) => { ... });
* const call_api = task(fetchOrders, { retry: { attempts: 3, delay: 30, multiplier: 2 } });
*
* Inside a \`workflow()\`, calling a task dispatches it as a step.
* Outside a workflow, the function body executes directly and
* {@link TaskOptions} — retry included — does not apply.
*
* A task runs as its own job, so its result is always encoded as JSON and
* decoded back before the caller sees it: a \`Date\` comes back as a string, a
* \`Map\` as \`{}\`. {@link JsonifiedFn} is that shape.
*/
export function task<T extends (...args: any[]) => Promise<any>>(fnOrPath: T | string, maybeFnOrOptions?: T | TaskOptions, maybeOptions?: TaskOptions,): JsonifiedFn<T>
/**
* Create a task that dispatches to a separate Windmill script.
*
* @example
* const extract = taskScript("f/data/extract");
* // inside workflow: await extract({ url: "https://..." })
*/
export function taskScript(path: string, options?: TaskOptions): (...args: any[]) => PromiseLike<any>
/**
* Create a task that dispatches to a separate Windmill flow.
*
* @example
* const pipeline = taskFlow("f/etl/pipeline");
* // inside workflow: await pipeline({ input: data })
*/
export function taskFlow(path: string, options?: TaskOptions): (...args: any[]) => PromiseLike<any>
/**
* Mark an async function as a workflow-as-code entry point.
*
* The function must be **deterministic**: given the same inputs it must call
* tasks in the same order on every replay. Branching on task results is fine
* (results are replayed from checkpoint), but branching on external state
* (current time, random values, external API calls) must use \`step()\` to
* checkpoint the value so replays see the same result.
*/
export function workflow<T>(fn: (...args: any[]) => Promise<T>)
/**
* Execute \`fn\` inline and checkpoint the result. On replay the cached value is
* returned without re-executing \`fn\`.
*
* \`fn\`'s result is encoded as JSON and decoded back before it is returned, so
* the round that runs the body sees the same types every replay sees: a \`Date\`
* comes back as a string, a \`Map\` as \`{}\`. {@link Jsonified} is that shape.
*/
export async function step<T>(name: string, fn: () => T | Promise<T>,): Promise<Jsonified<Awaited<T>>>
export async function sleep(seconds: number): Promise<void>
/**
* Suspend the workflow and wait for an external approval.
*
* Pass \`key\` to name the step, then \`getApprovalUrls(key)\` yields the URLs that
* resume exactly this approval — route them through your own channel. Without a
* key the steps are named \`approval\`, \`approval_2\`, ...
*
* \`skin: "minimal"\` shows approvers only the request (form and approve/reject)
* instead of the detailed page with the workflow's details. \`description\` is
* shown above the form: a string, or a rich value such as \`{ markdown: "..." }\`.
*
* @example
* const urls = await step("urls", () => getApprovalUrls("manager"));
* await step("notify", () => sendEmail(urls.resume, urls.cancel));
* const { value, approver } = await waitForApproval({ key: "manager", timeout: 3600 });
*/
export function waitForApproval(options?: { timeout?: number; form?: object; selfApproval?: boolean; key?: string; skin?: "detailed" | "minimal"; description?: string | object; }): PromiseLike<{ value: any; approver: string; approved: boolean }>
/**
* Resume/cancel/approval-page URLs bound to one \`waitForApproval\` step.
*
* Unlike \`getResumeUrls()\`, which signs a random nonce, these address the very
* \`resume_job\` record the step's built-in approval buttons use, so they are
* stable across replays and safe to embed in a custom notification.
*
* \`stepKey\` must match the \`key\` given to \`waitForApproval\`. Keys must be unique
* within a workflow; reusing one throws rather than silently renaming it. The URL
* only resumes while that step is awaiting approval; used at any other moment it is
* rejected rather than banking a row a different approval would consume. Send it
* ahead of time — approvers just cannot act before the workflow reaches the step.
*
* \`resume\` and \`cancel\` are step-bound; \`approvalPage\` is not — it opens the job's
* approval page, which acts on whichever approval is pending when it is used.
*
* @example
* const urls = await step("urls", () => getApprovalUrls("manager"));
* await step("notify", () => sendEmail(urls.resume, urls.cancel));
* await waitForApproval({ key: "manager" });
*/
export async function getApprovalUrls(stepKey: string = "approval", approver?: string): Promise<{ approvalPage: string; resume: string; cancel: string; }>
/**
* Process items in parallel with optional concurrency control.
*
* Each item is processed by calling \`fn(item)\`, which should be a task().
* Items are dispatched in batches of \`concurrency\` (default: all at once).
*
* @example
* const process = task(async (item: string) => { ... });
* const results = await parallel(items, process, { concurrency: 5 });
*/
export async function parallel<T, R>(items: T[], fn: (item: T) => PromiseLike<R> | R, options?: { concurrency?: number },): Promise<R[]>
\`\`\`
`;
export const WAC_SDK_PYTHON = `## Python Workflow-as-Code API (wmill)
Import: \`from wmill import workflow, task, task_script, task_flow, step, sleep, wait_for_approval, get_approval_urls, get_resume_urls, parallel, TaskError\`
\`\`\`python
# Raised when a WAC \`\`task\`\` or \`\`step\`\` failed.
#
# Attributes:
# step_key: The checkpoint key of the failed step.
# child_job_id: The UUID of the failed child job, or \`\`None\`\` for a
# \`\`step()\`\`, which runs in the workflow job and has no child job.
# result: \`\`{"error": {"name", "message", "stack"?, "extra"?}}\`\` — the
# same shape whether a task or a step failed. \`\`name\`\` and \`\`message\`\`
# are always present; \`\`stack\`\` only when the failure had a traceback,
# and \`\`extra\`\` only when it carried custom fields of its own, dropped
# with \`\`extra_omitted: True\`\` beside it when too large to checkpoint.
class TaskError(Exception):
def __init__(self, message: str, *, step_key: str = '', child_job_id: Optional[str] = None, result = None)
# Get URLs needed for resuming a flow after suspension.
#
# Args:
# approver: Optional approver name
# flow_level: If True, generate resume URLs for the parent flow instead of the
# specific step. This allows pre-approvals that can be consumed by any later
# suspend step in the same flow.
#
# Returns:
# Dictionary with approvalPage, resume, and cancel URLs
def get_resume_urls(approver: str = None, flow_level: bool = None) -> dict
# Decorator that marks a function as a workflow task.
#
# Works in both WAC v1 (sync, HTTP-based dispatch) and WAC v2
# (async, checkpoint/replay) modes:
#
# - **v2 (inside @workflow)**: dispatches as a checkpoint step.
# - **v1 (WM_JOB_ID set, no @workflow)**: dispatches via HTTP API.
# - **Standalone**: executes the function body directly.
#
# A task runs as its own job, so its result is always encoded as JSON and
# decoded back before the caller sees it: a \`\`datetime\`\` comes back as a
# string, a tuple as a list.
#
# \`\`retry\`\` re-dispatches the task after a failure, inside \`\`@workflow\`\` only.
# Every attempt is a step of its own (\`\`call_api\`\`, \`\`call_api#2\`\`, ...) and
# the wait between two of them is a durable sleep, so a retrying task holds no
# worker while it backs off. Keys: \`\`attempts\`\` (retries after the first
# failure, a whole number from 0 to 100), \`\`delay\`\` (seconds before the first
# retry, sub-second delays dropped), \`\`multiplier\`\` (applied to the delay
# after each attempt, 1 keeps it constant), \`\`max_delay\`\` (ceiling in
# seconds). \`\`attempts\`\` is required, and an out-of-range or unknown key is
# rejected where the policy is written.
#
# A workflow sleeps once per round, so tasks backing off in the same fan-out
# wait one after another rather than together: the delay before a fan-out
# retries is the sum of every backoff pending in it, not the longest one, and
# it grows with both the width of the fan-out and \`\`attempts\`\`. Retries with
# no \`\`delay\`\` all go out in a single round.
#
# \`\`cache_ttl\`\` serves a previous result of the task for that many seconds
# instead of running it again. A task is keyed on its step key (its name and
# call order) and the workflow's input, not on the arguments it is called
# with, so cache one only when whether it runs, and what it receives, follow
# from the workflow's input alone. A \`\`task_script\`\` target is keyed on the
# arguments it is called with. It has no effect on a \`\`task_flow\`\` target,
# which keeps its flow's own cache policy.
#
# Usage::
#
# @task
# async def extract_data(url: str): ...
#
# @task(path="f/external_script", timeout=600, tag="gpu")
# async def run_external(x: int): ...
#
# @task(retry={"attempts": 3, "delay": 30, "multiplier": 2})
# async def call_api(payload: dict): ...
def task(_func = None, *, path: Optional[str] = None, tag: Optional[str] = None, timeout: Optional[int] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None, retry: Optional[dict] = None)
# Create a task that dispatches to a separate Windmill script.
#
# \`\`retry\`\` takes the same policy as :func:\`task\`.
#
# Usage::
#
# extract = task_script("f/data/extract", timeout=600)
#
# @workflow
# async def main():
# data = await extract(url="https://...")
def task_script(path: str, *, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None, retry: Optional[dict] = None)
# Create a task that dispatches to a separate Windmill flow.
#
# \`\`retry\`\` takes the same policy as :func:\`task\`.
#
# Usage::
#
# pipeline = task_flow("f/etl/pipeline", priority=10)
#
# @workflow
# async def main():
# result = await pipeline(input=data)
def task_flow(path: str, *, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None, retry: Optional[dict] = None)
# Decorator marking an async function as a workflow-as-code entry point.
#
# The function must be **deterministic**: given the same inputs it must call
# tasks in the same order on every replay. Branching on task results is fine
# (results are replayed from checkpoint), but branching on external state
# (current time, random values, external API calls) must use \`\`step()\`\` to
# checkpoint the value so replays see the same result.
def workflow(func)
# Execute \`\`fn\`\` inline and checkpoint the result.
#
# On replay the cached value is returned without re-executing \`\`fn\`\`.
# Use for lightweight deterministic operations (timestamps, random IDs,
# config reads) that should not incur the overhead of a child job.
#
# \`\`fn\`\`'s result is encoded as JSON and decoded back before it is returned,
# so the round that runs the body sees the same types every replay sees:
# a \`\`datetime\`\` comes back as a string, a tuple as a list.
async def step(name: str, fn)
# Server-side sleep — suspend the workflow for the given duration without holding a worker.
#
# Inside a @workflow, the parent job suspends and auto-resumes after \`\`seconds\`\`.
# Outside a workflow, falls back to \`\`asyncio.sleep\`\`.
async def sleep(seconds: int)
# Suspend the workflow and wait for an external approval.
#
# Pass \`\`key\`\` to name the step, then \`\`get_approval_urls(key)\`\` yields the URLs
# that resume exactly this approval — route them through your own channel.
# Without a key the steps are named \`\`approval\`\`, \`\`approval_2\`\`, ...
#
# Returns a dict with \`\`value\`\` (form data), \`\`approver\`\`, and \`\`approved\`\`.
#
# Args:
# timeout: Approval timeout in seconds (default 1800).
# form: Optional form schema for the approval page.
# self_approval: Whether the user who triggered the flow can approve it (default True).
# key: Optional checkpoint key naming this approval step.
# skin: \`\`"minimal"\`\` shows approvers only the request (form and approve/reject)
# instead of the detailed page with the workflow's details.
# description: Shown to approvers above the form: a string, or a rich value such as
# \`\`{"markdown": "..."}\`\`.
#
# Example::
#
# urls = await step("urls", lambda: get_approval_urls("manager"))
# await step("notify", lambda: send_email(urls["resume"], urls["cancel"]))
# result = await wait_for_approval(key="manager", timeout=3600)
async def wait_for_approval(timeout: int = 1800, form: dict | None = None, self_approval: bool = True, key: str | None = None, skin: Literal['detailed', 'minimal'] | None = None, description: str | dict | None = None) -> dict
# Get the resume/cancel/approval-page URLs bound to one \`\`wait_for_approval\`\` step.
#
# Unlike :func:\`get_resume_urls\`, which signs a random nonce, these address the
# very \`\`resume_job\`\` record the step's built-in approval buttons use, so they
# are stable across replays and safe to embed in a custom notification.
#
# Args:
# step_key: Checkpoint key of the approval step, as passed to
# \`\`wait_for_approval(key=...)\`\`. Keys must be unique within a workflow;
# reusing one raises rather than silently renaming it. The URL only
# resumes while that step is awaiting approval; used at any other moment
# it is rejected rather than banking a row a different approval would
# consume. Send it ahead of time — approvers just cannot act before the
# workflow reaches the step.
# \`\`resume\`\` and \`\`cancel\`\` are step-bound; \`\`approvalPage\`\` is not — it
# opens the job's approval page, which acts on whichever approval is
# pending when it is used.
# approver: Optional approver name
#
# Returns:
# Dictionary with approvalPage, resume, and cancel URLs
def get_approval_urls(step_key: str = 'approval', approver: str = None) -> dict
# Process items in parallel with optional concurrency control.
#
# Each item is processed by calling \`\`fn(item)\`\`, which should be a @task.
# Items are dispatched in batches of \`\`concurrency\`\` (default: all at once).
#
# Example::
#
# @task
# async def process(item: str):
# ...
#
# results = await parallel(items, process, concurrency=5)
async def parallel(items, fn, *, concurrency: Optional[int] = None)
\`\`\`
`;
export const DATATABLE_SDK_TYPESCRIPT = `## TypeScript Datatable API (windmill-client)
Import: \`import * as wmill from 'windmill-client'\`
SQL statement object with query content, arguments, and execution methods
\`\`\`typescript
type SqlStatement<T> = {
/** Raw SQL content with formatted arguments */
content: string;
/** Argument values keyed by parameter name */
args: Record<string, any>;
/**
* Execute the SQL query and return results
* @param params - Optional parameters including result collection mode
* @returns Query results based on the result collection mode
*/
fetch<ResultCollectionT extends ResultCollection = "last_statement_all_rows">(
params?: FetchParams<ResultCollectionT | ResultCollection> // The union is for auto-completion
): Promise<SqlResult<T, ResultCollectionT>>;
/**
* Execute the SQL query and return only the first row
* @param params - Optional parameters
* @returns First row of the query result
*/
fetchOne(
params?: Omit<FetchParams<"last_statement_first_row">, "resultCollection">
): Promise<SqlResult<T, "last_statement_first_row">>;
/**
* Execute the SQL query and return only the first row as a scalar value
* @param params - Optional parameters
* @returns First row of the query result
*/
fetchOneScalar(
params?: Omit<
FetchParams<"last_statement_first_row_scalar">,
"resultCollection"
>
): Promise<SqlResult<T, "last_statement_first_row_scalar">>;
/**
* Execute the SQL query without fetching rows
* @param params - Optional parameters
*/
execute(
params?: Omit<FetchParams<"last_statement_first_row">, "resultCollection">
): Promise<void>;
};
\`\`\`
\`\`\`typescript
// Template tag function: sql\`SELECT * FROM table WHERE id = \${id}\`.fetch()
interface DatatableSqlTemplateFunction {
// Tagged template usage:
<T = any>(strings: TemplateStringsArray, ...values: any[]): SqlStatement<T>;
query<T = any>(sql: string, ...params: any[]): SqlStatement<T>;
};
\`\`\`
Create a SQL template function for PostgreSQL/datatable queries
@param name - Database/datatable name (default: "main")
@param opts.role - Connect as this data table role instead of the data table's default one.
Only meaningful on a data table under roles, and only for a role you are a tenant of.
@returns SQL template function for building parameterized queries
@example
let sql = wmill.datatable()
let name = 'Robin'
let age = 21
await sql\`
SELECT * FROM friends
WHERE name = \${name} AND age = \${age}::int
\`.fetch()
@example
// Read through a restricted role
let sql = wmill.datatable("main", { role: "analytics" })
\`\`\`typescript
function datatable(name: string = "main",
opts?: DatatableOptions): DatatableSqlTemplateFunction
\`\`\`
`;
export const DATATABLE_SDK_PYTHON = `## Python Datatable API (wmill)
Import: \`import wmill\`
# Get a DataTable client for SQL queries.
#
# Args:
# name: Database name (default: "main")
# role: Connect as this data table role instead of the data table's default one.
#
# Returns:
# DataTableClient instance
def datatable(name: str = 'main', *, role: Optional[str] = None) -> DataTableClient
# Client for executing SQL queries against Windmill DataTables.
class DataTableClient:
# Initialize DataTableClient.
#
# Args:
# client: Windmill client instance
# name: DataTable name
# role: Data table role to connect as, or None for the data table's default
def __init__(client: Windmill, name: str, role: Optional[str] = None)
# Execute a SQL query against the DataTable.
#
# Args:
# sql: SQL query string with $1, $2, etc. placeholders
# *args: Positional arguments to bind to query placeholders
#
# Returns:
# SqlQuery instance for fetching results
def query(sql: str, *args) -> SqlQuery
# Query result handler for DataTable and DuckLake queries.
class SqlQuery:
# Initialize SqlQuery.
#
# Args:
# sql: SQL query string
# fetch_fn: Function to execute the query
def __init__(sql: str, fetch_fn)
# Execute query and fetch results.
#
# Args:
# result_collection: Optional result collection mode
#
# Returns:
# Query results
def fetch(result_collection: str | None = None)
# Execute query and fetch first row of results.
#
# Returns:
# First row of query results
def fetch_one()
# Execute query and fetch first row of results. Return result as a scalar value.
#
# Returns:
# First row of query result as a scalar value
def fetch_one_scalar()
# Execute query and don't return any results.
#
def execute()
`;
export const OPENFLOW_SCHEMA = `## OpenFlow Schema
{"OpenFlow":{"type":"object","description":"Top-level flow definition containing metadata, configuration, and the flow structure","properties":{"summary":{"type":"string","description":"Short description of what this flow does"},"description":{"type":"string","description":"Detailed documentation for this flow"},"value":{"$ref":"#/components/schemas/FlowValue"},"schema":{"type":"object","description":"JSON Schema for flow inputs. Use this to define input parameters, their types, defaults, and validation. For resource inputs, set type to 'object' and format to 'resource-<type>' (e.g., 'resource-stripe')"},"on_behalf_of_email":{"type":"string","description":"Address of the account the flow runs on behalf of. Derived from on_behalf_of on read; accepted on write, where it is resolved to the account it names."},"on_behalf_of":{"type":"string","description":"The flow runs with the permissions of this identity: u/{username}, g/{group}, or a bare email when the username is itself email-shaped. The only stored half of the identity; on_behalf_of_email is derived from it. Omit it when writing and it is resolved from that address instead."}},"required":["summary","value"]},"FlowValue":{"type":"object","description":"The flow structure containing modules and optional preprocessor/failure handlers","properties":{"modules":{"type":"array","description":"Array of steps that execute in sequence. Each step can be a script, subflow, loop, or branch","items":{"$ref":"#/components/schemas/FlowModule"}},"failure_module":{"description":"Special module that executes when the flow fails. Receives error object with message, name, stack, and step_id. Must have id 'failure'. Only supports script/rawscript types","$ref":"#/components/schemas/FlowModule"},"preprocessor_module":{"description":"Special module that runs before the first step on external triggers. Must have id 'preprocessor'. Only supports script/rawscript types. Cannot reference other step results","$ref":"#/components/schemas/FlowModule"},"same_worker":{"type":"boolean","description":"If true, all steps run on the same worker for better performance"},"preserve_step_tags":{"type":"boolean","description":"If true and the flow runs on a custom worker tag, steps that declare their own non-empty tag run on it instead of inheriting the flow tag. Steps without their own tag still inherit the flow tag."},"concurrent_limit":{"type":"number","description":"Maximum number of concurrent executions of this flow"},"concurrency_key":{"type":"string","description":"Expression to group concurrent executions (e.g., by user ID)"},"concurrency_time_window_s":{"type":"number","description":"Time window in seconds for concurrent_limit"},"debounce_delay_s":{"type":"integer","description":"Delay in seconds to debounce flow executions"},"debounce_key":{"type":"string","description":"Expression to group debounced executions"},"debounce_args_to_accumulate":{"type":"array","description":"Arguments to accumulate across debounced executions","items":{"type":"string"}},"max_total_debouncing_time":{"type":"integer","description":"Maximum total time in seconds that a job can be debounced"},"max_total_debounces_amount":{"type":"integer","description":"Maximum number of times a job can be debounced"},"skip_expr":{"type":"string","description":"JavaScript expression to conditionally skip the entire flow"},"cache_ttl":{"type":"number","description":"Cache duration in seconds for flow results"},"cache_ignore_s3_path":{"type":"boolean"},"delete_after_secs":{"type":"integer","description":"If set, delete the flow job's args, result and logs after this many seconds following job completion"},"flow_env":{"type":"object","description":"Environment variables available to all steps. Values can be strings, JSON values, or special references: '$var:path' (workspace variable) or '$res:path' (resource).","additionalProperties":{}},"priority":{"type":"number","description":"Execution priority (higher numbers run first)"},"early_return":{"type":"string","description":"JavaScript expression to return early from the flow"},"chat_input_enabled":{"type":"boolean","description":"Whether this flow accepts chat-style input"},"notes":{"type":"array","description":"Sticky notes attached to the flow","items":{"$ref":"#/components/schemas/FlowNote"}},"groups":{"type":"array","description":"Semantic groups of modules for organizational purposes","items":{"$ref":"#/components/schemas/FlowGroup"}}},"required":["modules"]},"Retry":{"type":"object","description":"Retry configuration for failed module executions","properties":{"constant":{"type":"object","description":"Retry with constant delay between attempts","properties":{"attempts":{"type":"integer","description":"Number of retry attempts"},"seconds":{"type":"integer","description":"Seconds to wait between retries"}}},"exponential":{"type":"object","description":"Retry with exponential backoff: the n-th retry waits multiplier \\u00d7 seconds^n","properties":{"attempts":{"type":"integer","description":"Number of retry attempts"},"multiplier":{"type":"integer","description":"Multiplier for exponential backoff"},"seconds":{"type":"integer","minimum":1,"description":"Base of the exponential (seconds); the n-th retry waits multiplier \\u00d7 seconds^n, where n counts constant retries too"},"random_factor":{"type":"integer","minimum":0,"maximum":100,"description":"Random jitter percentage (0-100) to avoid thundering herd"}}},"retry_if":{"$ref":"#/components/schemas/RetryIf"}}},"FlowNote":{"type":"object","description":"A sticky note attached to a flow for documentation and annotation","properties":{"id":{"type":"string","description":"Unique identifier for the note"},"text":{"type":"string","description":"Content of the note"},"position":{"type":"object","description":"Position of the note in the flow editor","properties":{"x":{"type":"number","description":"X coordinate"},"y":{"type":"number","description":"Y coordinate"}},"required":["x","y"]},"size":{"type":"object","description":"Size of the note in the flow editor","properties":{"width":{"type":"number","description":"Width in pixels"},"height":{"type":"number","description":"Height in pixels"}},"required":["width","height"]},"color":{"type":"string","description":"Color of the note, one of: yellow, blue, green, purple, pink, orange, red, cyan, lime, gray. Any other value renders unstyled."},"type":{"type":"string","enum":["free","group"],"description":"Type of note - 'free' for standalone notes. 'group' notes are deprecated; segment a flow with FlowValue.groups instead."},"locked":{"type":"boolean","default":false,"description":"Whether the note is locked and cannot be edited or moved"},"contained_node_ids":{"type":"array","items":{"type":"string"},"description":"For group notes, the IDs of nodes contained within this group"}},"required":["id","text","color","type"]},"FlowGroup":{"type":"object","description":"A semantic group of flow modules for organizational purposes. Does not affect execution \\u2014 modules remain in their original position in the flow. Groups provide naming and collapsibility in the editor. Members are computed dynamically from all nodes on paths between start_id and end_id.","properties":{"summary":{"type":"string","description":"Display name for this group"},"note":{"type":"string","description":"Markdown note shown below the group header"},"autocollapse":{"type":"boolean","default":false,"description":"If true, this group is collapsed by default in the flow editor. UI hint only."},"start_id":{"type":"string","description":"ID of the first flow module in this group (topological entry point)"},"end_id":{"type":"string","description":"ID of the last flow module in this group (topological exit point)"},"color":{"type":"string","description":"Color for the group in the flow editor, one of: yellow, blue, green, purple, pink, orange, red, cyan, lime, gray. Omit it to let the editor pick one."}},"required":["start_id","end_id"]},"RetryIf":{"type":"object","description":"Conditional retry based on error or result","properties":{"expr":{"type":"string","description":"JavaScript expression that returns true to retry. Has access to 'result' and 'error' variables"}},"required":["expr"]},"StopAfterIf":{"type":"object","description":"Early termination condition for a module","properties":{"skip_if_stopped":{"type":"boolean","description":"If true, following steps are skipped when this condition triggers"},"expr":{"type":"string","description":"JavaScript expression evaluated after the module runs. Can use 'result' (step's result) or 'flow_input'. Return true to stop"},"error_message":{"type":"string","nullable":true,"description":"Custom error message when stopping with an error. Mutually exclusive with skip_if_stopped. If set to a non-empty string, the flow stops with this error. If empty string, a default error message is used. If null or omitted, no error is raised."},"error_include_result":{"type":"boolean","description":"When stopping with an error (error_message set), embed the stopping step's own result inside the raised error object (as error.result) instead of discarding it. The top-level result stays { error }. Defaults to false."}},"required":["expr"]},"FlowModule":{"type":"object","description":"A single step in a flow. Can be a script, subflow, loop, or branch","properties":{"id":{"type":"string","description":"Unique identifier for this step. Used to reference results via 'results.step_id'. Must be a valid identifier (alphanumeric, underscore, hyphen)"},"value":{"$ref":"#/components/schemas/FlowModuleValue"},"stop_after_if":{"description":"Early termination condition evaluated after this step completes","$ref":"#/components/schemas/StopAfterIf"},"stop_after_all_iters_if":{"description":"For loops only - early termination condition evaluated after all iterations complete","$ref":"#/components/schemas/StopAfterIf"},"skip_if":{"type":"object","description":"Conditionally skip this step based on previous results or flow inputs","properties":{"expr":{"type":"string","description":"JavaScript expression that returns true to skip. Can use 'flow_input' or 'results.<step_id>'"}},"required":["expr"]},"sleep":{"description":"Delay before executing this step (in seconds or as expression)","$ref":"#/components/schemas/InputTransform"},"cache_ttl":{"type":"number","description":"Cache duration in seconds for this step's results"},"cache_ignore_s3_path":{"type":"boolean"},"timeout":{"description":"Maximum execution time in seconds (static value or expression)","$ref":"#/components/schemas/InputTransform"},"delete_after_secs":{"type":"integer","description":"If set, delete the step's args, result and logs after this many seconds following job completion"},"summary":{"type":"string","description":"Short description of what this step does"},"mock":{"type":"object","description":"Mock configuration for testing without executing the actual step","properties":{"enabled":{"type":"boolean","description":"If true, return mock value instead of executing"},"return_value":{"description":"Value to return when mocked"}}},"suspend":{"type":"object","description":"Configuration for approval/resume steps that wait for user input","properties":{"required_events":{"type":"integer","description":"Number of approvals required before continuing"},"timeout":{"type":"integer","description":"Timeout in seconds before auto-continuing or canceling"},"resume_form":{"type":"object","description":"Form schema for collecting input when resuming","properties":{"schema":{"type":"object","description":"JSON Schema for the resume form"}}},"user_auth_required":{"type":"boolean","description":"If true, only authenticated users can approve"},"user_groups_required":{"description":"Expression or list of groups that can approve","$ref":"#/components/schemas/InputTransform"},"self_approval_disabled":{"type":"boolean","description":"If true, the user who started the flow cannot approve"},"hide_cancel":{"type":"boolean","description":"If true, hide the cancel button on the approval form"},"continue_on_disapprove_timeout":{"type":"boolean","description":"If true, continue flow on timeout instead of canceling"},"skin":{"type":"string","enum":["detailed","minimal"],"description":"How the approval request is presented, on the approval page and in Slack/Teams approval messages. 'detailed' (used when unset) shows the flow details (arguments, graph, approvers); 'minimal' shows only the request: the step description, form and approve/reject actions"}}},"priority":{"type":"number","description":"Execution priority for this step (higher numbers run first)"},"continue_on_error":{"type":"boolean","description":"If true, flow continues even if this step fails"},"job_token_scopes":{"type":"array","nullable":true,"items":{"type":"string"},"description":"Scopes the token of this step's jobs is restricted to (domain:action[:resource], e.g. oidc:write), on top of the flow's own restriction: a step can only narrow it. Applies to everything the step runs (loop and branch bodies, AI agent tools)."},"retry":{"description":"Retry configuration if this step fails","$ref":"#/components/schemas/Retry"},"debouncing":{"description":"Debounce configuration for this step (EE only)","type":"object","properties":{"debounce_delay_s":{"type":"integer","description":"Delay in seconds to debounce this step's executions across flow runs"},"debounce_key":{"type":"string","description":"Expression to group debounced executions. Supports $workspace and $args[name]. Default: $workspace/flow/<flow_path>-<step_id>"},"debounce_args_to_accumulate":{"type":"array","description":"Array-type arguments to accumulate across debounced executions","items":{"type":"string"}},"max_total_debouncing_time":{"type":"integer","description":"Maximum total time in seconds before forced execution"},"max_total_debounces_amount":{"type":"integer","description":"Maximum number of debounces before forced execution"}}}},"required":["value","id"]},"InputTransform":{"description":"Maps input parameters for a step. Can be a static value or a JavaScript expression that references previous results or flow inputs","oneOf":[{"$ref":"#/components/schemas/StaticTransform"},{"$ref":"#/components/schemas/JavascriptTransform"},{"$ref":"#/components/schemas/AiTransform"}],"discriminator":{"propertyName":"type","mapping":{"static":"#/components/schemas/StaticTransform","javascript":"#/components/schemas/JavascriptTransform","ai":"#/components/schemas/AiTransform"}}},"StaticTransform":{"type":"object","description":"Static value passed directly to the step. Use for hardcoded values or resource references like '$res:path/to/resource'","properties":{"value":{"description":"The static value. For resources, use format '$res:path/to/resource'"},"type":{"type":"string","enum":["static"]}},"required":["type"]},"JavascriptTransform":{"type":"object","description":"JavaScript expression evaluated at runtime. Can reference previous step results via 'results.step_id' or flow inputs via 'flow_input.property'. Inside for loops, use 'flow_input.iter.value' for the current iteration value (in while loops it equals 'flow_input.iter.index')","properties":{"expr":{"type":"string","description":"JavaScript expression returning the value. Available variables - results (object with all previous step results), flow_input (flow inputs), flow_input.iter (in loops)"},"type":{"type":"string","enum":["javascript"]}},"required":["expr","type"]},"AiTransform":{"type":"object","description":"Value resolved by the AI runtime for this input. The AI engine decides how to satisfy the parameter.","properties":{"type":{"type":"string","enum":["ai"]}},"required":["type"]},"AIProviderKind":{"type":"string","description":"Supported AI provider types","enum":["openai","azure_openai","azure_foundry","anthropic","mistral","deepseek","googleai","groq","openrouter","togetherai","customai","aws_bedrock","typesafe","cloudflare"]},"ProviderConfig":{"type":"object","description":"Complete AI provider configuration with resource reference and model selection","properties":{"kind":{"$ref":"#/components/schemas/AIProviderKind"},"resource":{"type":"string","description":"Resource reference in format '$res:{resource_path}' pointing to provider credentials"},"model":{"type":"string","description":"Model identifier (e.g., 'gpt-4', 'claude-3-opus-20240229', 'gemini-pro')"},"reasoning_effort":{"type":"string","description":"Provider-native reasoning effort token (e.g. 'low', 'high', 'none') for models that support extended thinking. Optional; unset leaves the provider default."}},"required":["kind","resource","model"]},"StaticProviderTransform":{"type":"object","description":"Static provider configuration passed directly to the AI agent","properties":{"value":{"$ref":"#/components/schemas/ProviderConfig"},"type":{"type":"string","enum":["static"]}},"required":["type","value"]},"ProviderTransform":{"description":"Provider configuration - can be static (ProviderConfig), JavaScript expression, or AI-determined","oneOf":[{"$ref":"#/components/schemas/StaticProviderTransform"},{"$ref":"#/components/schemas/JavascriptTransform"},{"$ref":"#/components/schemas/AiTransform"}],"discriminator":{"propertyName":"type","mapping":{"static":"#/components/schemas/StaticProviderTransform","javascript":"#/components/schemas/JavascriptTransform","ai":"#/components/schemas/AiTransform"}}},"MemoryOff":{"type":"object","description":"No conversation memory/context","properties":{"kind":{"type":"string","enum":["off"]}},"required":["kind"]},"MemoryWindow":{"type":"object","description":"Keeps the most recent messages of the memory named by the run's memory id (or the step's\\n\`memory_id\`). Without a memory id the agent runs without memory.\\n","properties":{"kind":{"type":"string","enum":["window"]},"context_length":{"type":"integer","description":"Number of most recent messages to load and store. 0 turns memory off."}},"required":["kind","context_length"]},"MemoryAuto":{"type":"object","deprecated":true,"description":"Deprecated, still read as it was written: the run's memory id, else the \`memory_id\` here.\\nThe step's own \`memory_id\` is not read while this kind is set; switch the kind to \`window\`\\nto use it. Without a \`context_length\`, or with 0, it is \`off\` and reads \`previous_messages\`.\\n","properties":{"kind":{"type":"string","enum":["auto"]},"context_length":{"type":"integer","description":"Maximum number of messages to retain in context"},"memory_id":{"type":"string","description":"Identifier for persistent memory across agent invocations"}},"required":["kind"]},"MemoryCompaction":{"type":"object","description":"Keeps the whole memory named by the run's memory id (or the step's \`memory_id\`), replacing\\nits older part with a summary as the conversation approaches the model's context window.\\nWithout a memory id the agent runs without memory, and compaction bounds the run's own loop.\\n","properties":{"kind":{"type":"string","enum":["compaction"]},"context_window":{"type":"integer","description":"Overrides the context window looked up from the model, in tokens. Only a model\\nWindmill does not know needs one; those fall back to 128000.\\n"}},"required":["kind"]},"MemoryMessage":{"type":"object","description":"A single message in conversation history","properties":{"role":{"type":"string","enum":["user","assistant","system"]},"content":{"type":"string"}},"required":["role","content"]},"MemoryManual":{"type":"object","deprecated":true,"description":"Deprecated, still read as it was written. Move the step to \`off\` with \`previous_messages\` instead.","properties":{"kind":{"type":"string","enum":["manual"]},"messages":{"type":"array","items":{"$ref":"#/components/schemas/MemoryMessage"}}},"required":["kind","messages"]},"MemoryConfig":{"description":"Managed memory, stored by Windmill and replayed with each request. The memory is named by a memory id, see \`memory_id\`. While it is off, a step can supply its history in \`previous_messages\`.","oneOf":[{"$ref":"#/components/schemas/MemoryOff"},{"$ref":"#/components/schemas/MemoryWindow"},{"$ref":"#/components/schemas/MemoryCompaction"},{"$ref":"#/components/schemas/MemoryAuto"},{"$ref":"#/components/schemas/MemoryManual"}],"discriminator":{"propertyName":"kind","mapping":{"off":"#/components/schemas/MemoryOff","window":"#/components/schemas/MemoryWindow","compaction":"#/components/schemas/MemoryCompaction","auto":"#/components/schemas/MemoryAuto","manual":"#/components/schemas/MemoryManual"}}},"StaticMemoryTransform":{"type":"object","description":"Static memory configuration passed directly to the AI agent","properties":{"value":{"$ref":"#/components/schemas/MemoryConfig"},"type":{"type":"string","enum":["static"]}},"required":["type","value"]},"MemoryTransform":{"description":"Memory configuration - can be static (MemoryConfig), JavaScript expression, or AI-determined","oneOf":[{"$ref":"#/components/schemas/StaticMemoryTransform"},{"$ref":"#/components/schemas/JavascriptTransform"},{"$ref":"#/components/schemas/AiTransform"}],"discriminator":{"propertyName":"type","mapping":{"static":"#/components/schemas/StaticMemoryTransform","javascript":"#/components/schemas/JavascriptTransform","ai":"#/components/schemas/AiTransform"}}},"FlowModuleValue":{"description":"The actual implementation of a flow step. Can be a script (inline or referenced), subflow, loop, branch, or special module type","oneOf":[{"$ref":"#/components/schemas/RawScript"},{"$ref":"#/components/schemas/PathScript"},{"$ref":"#/components/schemas/PathFlow"},{"$ref":"#/components/schemas/ForloopFlow"},{"$ref":"#/components/schemas/WhileloopFlow"},{"$ref":"#/components/schemas/BranchOne"},{"$ref":"#/components/schemas/BranchAll"},{"$ref":"#/components/schemas/Identity"},{"$ref":"#/components/schemas/AiAgent"},{"$ref":"#/components/schemas/AiDecision"}],"discriminator":{"propertyName":"type","mapping":{"rawscript":"#/components/schemas/RawScript","script":"#/components/schemas/PathScript","flow":"#/components/schemas/PathFlow","forloopflow":"#/components/schemas/ForloopFlow","whileloopflow":"#/components/schemas/WhileloopFlow","branchone":"#/components/schemas/BranchOne","branchall":"#/components/schemas/BranchAll","identity":"#/components/schemas/Identity","aiagent":"#/components/schemas/AiAgent","aidecision":"#/components/schemas/AiDecision"}}},"RawScript":{"type":"object","description":"Inline script with code defined directly in the flow. Use 'bun' as default language if unspecified. The script receives arguments from input_transforms","properties":{"input_transforms":{"type":"object","description":"Map of parameter names to their values (static or JavaScript expressions). These become the script's input arguments","additionalProperties":{"$ref":"#/components/schemas/InputTransform"}},"content":{"type":"string","description":"The script source code. Should export a 'main' function"},"language":{"type":"string","description":"Programming language for this script","enum":["deno","bun","bunnative","python3","go","bash","powershell","postgresql","mysql","bigquery","snowflake","mssql","oracledb","graphql","nativets","php","rust","ansible","csharp","nu","java","ruby","rlang","duckdb"]},"path":{"type":"string","description":"Optional path for saving this script"},"lock":{"type":"string","description":"Lock file content for dependencies"},"type":{"type":"string","enum":["rawscript"]},"tag":{"type":"string","description":"Worker group tag for execution routing"},"concurrent_limit":{"type":"number","description":"Maximum concurrent executions of this script"},"concurrency_time_window_s":{"type":"number","description":"Time window for concurrent_limit"},"custom_concurrency_key":{"type":"string","description":"Custom key for grouping concurrent executions"},"is_trigger":{"type":"boolean","description":"If true, this script is a trigger that can start the flow"},"assets":{"type":"array","description":"External resources this script accesses (S3 objects, resources, etc.)","items":{"type":"object","required":["path","kind"],"properties":{"path":{"type":"string","description":"Path to the asset"},"kind":{"type":"string","description":"Type of asset","enum":["s3object","resource","ducklake","datatable","volume","dbt"]},"access_type":{"type":"string","nullable":true,"description":"Access level for this asset","enum":["r","w","rw"]},"alt_access_type":{"type":"string","nullable":true,"description":"Alternative access level","enum":["r","w","rw"]}}}}},"required":["type","content","language","input_transforms"]},"PathScript":{"type":"object","description":"Reference to an existing script by path. Use this when calling a previously saved script instead of writing inline code","properties":{"input_transforms":{"type":"object","description":"Map of parameter names to their values (static or JavaScript expressions). These become the script's input arguments","additionalProperties":{"$ref":"#/components/schemas/InputTransform"}},"path":{"type":"string","description":"Path to the script in the workspace (e.g., 'f/scripts/send_email')"},"hash":{"type":"string","description":"Optional specific version hash of the script to use"},"type":{"type":"string","enum":["script"]},"tag_override":{"type":"string","description":"Override the script's default worker group tag"},"is_trigger":{"type":"boolean","description":"If true, this script is a trigger that can start the flow"}},"required":["type","path","input_transforms"]},"PathFlow":{"type":"object","description":"Reference to an existing flow by path. Use this to call another flow as a subflow","properties":{"input_transforms":{"type":"object","description":"Map of parameter names to their values (static or JavaScript expressions). These become the subflow's input arguments","additionalProperties":{"$ref":"#/components/schemas/InputTransform"}},"path":{"type":"string","description":"Path to the flow in the workspace (e.g., 'f/flows/process_user')"},"type":{"type":"string","enum":["flow"]}},"required":["type","path","input_transforms"]},"ForloopFlow":{"type":"object","description":"Executes nested modules in a loop over an iterator. Inside the loop, use 'flow_input.iter.value' to access the current iteration value, and 'flow_input.iter.index' for the index. Supports parallel execution for better performance on I/O-bound operations","properties":{"modules":{"type":"array","description":"Steps to execute for each iteration. These can reference the iteration value via 'flow_input.iter.value'","items":{"$ref":"#/components/schemas/FlowModule"}},"iterator":{"description":"JavaScript expression that returns an array to iterate over. Can reference 'results.step_id' or 'flow_input'","$ref":"#/components/schemas/InputTransform"},"skip_failures":{"type":"boolean","description":"If true, iteration failures don't stop the loop. Failed iterations return null"},"type":{"type":"string","enum":["forloopflow"]},"parallel":{"type":"boolean","description":"If true, iterations run concurrently (faster for I/O-bound operations). Use with parallelism to control concurrency"},"parallelism":{"description":"Maximum number of concurrent iterations when parallel=true. Limits resource usage. Can be static number or expression","$ref":"#/components/schemas/InputTransform"},"squash":{"type":"boolean"}},"required":["modules","iterator","skip_failures","type"]},"WhileloopFlow":{"type":"object","description":"Executes nested modules repeatedly until stopped. The implicit iterator is the iteration counter, so 'flow_input.iter.value' equals 'flow_input.iter.index' (0, 1, 2, ...) and never carries state. To carry state across iterations, a step reads its own previous-iteration result via 'results.<its_own_id>' with a first-iteration fallback - the loop's stop_after_if must then be on that inner step (a plain single-step body with stop_after_if on the loop module does not resolve 'results' across iterations and never terminates); plain counters can instead be derived from 'flow_input.iter.index', which works in every configuration. stop_after_if is evaluated after each iteration - on the loop module 'result' is the last iteration's result","properties":{"modules":{"type":"array","description":"Steps to execute in each iteration","items":{"$ref":"#/components/schemas/FlowModule"}},"skip_failures":{"type":"boolean","description":"If true, iteration failures don't stop the loop. Failed iterations return null"},"type":{"type":"string","enum":["whileloopflow"]},"parallel":{"type":"boolean","description":"If true, iterations run concurrently (use with caution in while loops)"},"parallelism":{"description":"Maximum number of concurrent iterations when parallel=true","$ref":"#/components/schemas/InputTransform"},"squash":{"type":"boolean"}},"required":["modules","skip_failures","type"]},"BranchOne":{"type":"object","description":"Conditional branching where only the first matching branch executes. Branches are evaluated in order, and the first one with a true expression runs. If no branches match, the default branch executes","properties":{"branches":{"type":"array","description":"Array of branches to evaluate in order. The first branch with expr evaluating to true executes","items":{"type":"object","properties":{"summary":{"type":"string","description":"Short description of this branch condition"},"expr":{"type":"string","description":"JavaScript expression that returns boolean. Can use 'results.step_id' or 'flow_input'. First true expr wins"},"modules":{"type":"array","description":"Steps to execute if this branch's expr is true","items":{"$ref":"#/components/schemas/FlowModule"}}},"required":["modules","expr"]}},"default":{"type":"array","description":"Steps to execute if no branch expressions match","items":{"$ref":"#/components/schemas/FlowModule"}},"type":{"type":"string","enum":["branchone"]}},"required":["branches","default","type"]},"BranchAll":{"type":"object","description":"Parallel branching where all branches execute simultaneously. Unlike BranchOne, all branches run regardless of conditions. Useful for executing independent tasks concurrently","properties":{"branches":{"type":"array","description":"Array of branches that all execute (either in parallel or sequentially)","items":{"type":"object","properties":{"summary":{"type":"string","description":"Short description of this branch's purpose"},"skip_failure":{"type":"boolean","description":"If true, failure in this branch doesn't fail the entire flow"},"modules":{"type":"array","description":"Steps to execute in this branch","items":{"$ref":"#/components/schemas/FlowModule"}}},"required":["modules"]}},"type":{"type":"string","enum":["branchall"]},"parallel":{"type":"boolean","description":"If true, all branches execute concurrently. If false, they execute sequentially"}},"required":["branches","type"]},"AgentTool":{"type":"object","description":"A tool available to an AI agent. Can be a flow module or an external MCP (Model Context Protocol) tool","properties":{"id":{"type":"string","description":"Unique identifier for this tool. Cannot contain spaces - use underscores instead (e.g., 'get_user_data' not 'get user data')"},"summary":{"type":"string","description":"The name the AI agent calls this tool by, not a human label. On a flowmodule tool it must match ^[a-zA-Z0-9_]+$ - letters, numbers and underscores only (e.g. 'search_documentation', not 'Search documentation') - and always be set; on an mcp or websearch tool it is a plain label. Put the human-readable explanation in 'description'."},"description":{"type":"string","description":"Free-text description of the tool given to the AI to decide when and how to call it. Overrides the description auto-derived from the underlying script."},"job_token_scopes":{"type":"array","nullable":true,"items":{"type":"string"},"description":"Scopes the token of this tool's jobs is restricted to, on top of the agent step's own restriction: a tool can only narrow it."},"value":{"$ref":"#/components/schemas/ToolValue"}},"required":["id","value"]},"ToolValue":{"description":"The implementation of a tool. Can be a flow module (script/flow) or an MCP tool reference","oneOf":[{"$ref":"#/components/schemas/FlowModuleTool"},{"$ref":"#/components/schemas/McpToolValue"},{"$ref":"#/components/schemas/WebsearchToolValue"}],"discriminator":{"propertyName":"tool_type","mapping":{"flowmodule":"#/components/schemas/FlowModuleTool","mcp":"#/components/schemas/McpToolValue","websearch":"#/components/schemas/WebsearchToolValue"}}},"FlowModuleTool":{"description":"A tool implemented as a flow module (script, flow, etc.). The AI can call this like any other flow module","allOf":[{"type":"object","properties":{"tool_type":{"type":"string","enum":["flowmodule"]}},"required":["tool_type"]},{"$ref":"#/components/schemas/FlowModuleValue"}]},"WebsearchToolValue":{"type":"object","description":"A tool implemented as a websearch tool. The AI can call this like any other websearch tool","properties":{"tool_type":{"type":"string","enum":["websearch"]}},"required":["tool_type"]},"McpToolValue":{"type":"object","description":"Reference to an external MCP (Model Context Protocol) tool. The AI can call tools from MCP servers","properties":{"tool_type":{"type":"string","enum":["mcp"]},"resource_path":{"type":"string","description":"Path to the MCP resource/server configuration"},"include_tools":{"type":"array","description":"Whitelist of specific tools to include from this MCP server","items":{"type":"string"}},"exclude_tools":{"type":"array","description":"Blacklist of tools to exclude from this MCP server","items":{"type":"string"}}},"required":["tool_type","resource_path"]},"AiAgent":{"type":"object","description":"AI agent step that can use tools to accomplish tasks. The agent receives inputs and can call any of its configured tools to complete the task","properties":{"input_transforms":{"type":"object","description":"Input parameters for the AI agent mapped to their values","properties":{"provider":{"$ref":"#/components/schemas/ProviderTransform"},"output_type":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Output format type.\\nValid values: 'text' (default) - plain text response, 'image' - image generation\\n"},"user_message":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"The user's prompt/message to the AI agent. Supports variable interpolation with\\nflow.input syntax. Required unless memory is off and \`previous_messages\` supplies\\nthe prompt; image output always needs it.\\n"},"system_prompt":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"System instructions that guide the AI's behavior, persona, and response style. Optional."},"streaming":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Boolean. If true, stream the AI response incrementally.\\nStreaming events include: token_delta, reasoning_token_delta, tool_call, tool_call_arguments, tool_execution, tool_result\\n"},"memory":{"$ref":"#/components/schemas/MemoryTransform"},"memory_id":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"String. Names the memory this step reads and writes, overriding the memory id the run\\nwas started with (the chat conversation, an app chat session or the \`memory_id\` run\\nparameter). Leave unset to use the run's memory id. A fixed value shares one memory\\nacross every run; an expression such as \`flow_input.customer_id\` keeps one memory per\\nkey. When it evaluates to an empty value the agent runs without memory. Read only\\nwhile \`memory\` is \`window\` or \`compaction\`: it is ignored when memory is off, and an\\nolder \`auto\` or \`manual\` memory reads neither history input.\\n"},"previous_messages":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Array of MemoryMessage. History supplied by the flow, sent between the system prompt\\nand the user message. Read only while \`memory\` is off or absent: managed memory\\nignores it, and an older \`auto\` or \`manual\` memory reads neither history input.\\n"},"output_schema":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"JSON Schema object defining structured output format. Used when you need the AI to return data in a specific shape.\\nSupports standard JSON Schema properties: type, properties, required, items, enum, pattern, minLength, maxLength, minimum, maximum, etc.\\nExample: { type: 'object', properties: { name: { type: 'string' }, age: { type: 'integer' } }, required: ['name'] }\\n"},"user_attachments":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Array of file references (images or PDFs) for the AI agent.\\nFormat: Array<{ bucket: string, key: string }> - S3 object references\\nExample: [{ bucket: 'my-bucket', key: 'documents/report.pdf' }]\\n"},"enabled_tools":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Array of strings naming which of the tools configured in \`tools\` the agent may call\\nthis run. Leaving it unset carries every one of them; an empty array carries none.\\nA tool is named as the model is shown it. An entry the model is shown nothing of is\\nnamed by what identifies it instead: an MCP server by its resource path, carrying\\nevery tool it exposes (which of them stays that entry's include_tools/exclude_tools),\\nand a websearch entry by the reserved name '__wm_web_search', whatever summary it carries\\n(no tool may take that name).\\nExample: ['get_user', 'u/admin/github_mcp', '__wm_web_search']\\n"},"max_completion_tokens":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Integer. Maximum number of tokens the AI will generate in its response.\\nRange: 1 to 4,294,967,295. Typical values: 256-4096 for most use cases.\\n"},"temperature":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Float. Controls randomness/creativity of responses.\\nRange: 0.0 to 2.0 (provider-dependent)\\n- 0.0 = deterministic, focused responses\\n- 0.7 = balanced (common default)\\n- 1.0+ = more creative/random\\n"},"max_iterations":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Number. Limits how many times the agent can loop through reasoning and tool use.\\nRange: 1-1000.\\n"}}},"tools":{"type":"array","description":"Array of tools the agent can use. The agent decides which tools to call based on the task","items":{"$ref":"#/components/schemas/AgentTool"}},"type":{"type":"string","enum":["aiagent"]},"tag":{"type":"string","description":"Worker group tag for execution routing. If not set, the AI agent step runs on the flow's tag (default \`flow\`)"},"omit_output_from_conversation":{"type":"boolean","default":false,"description":"If true, this AI agent step does not persist its assistant or tool messages to the flow conversation when chat mode is enabled."},"agent":{"type":"string","description":"Path of a reusable \`ai_agent\` resource (hybrid linking). When set, the agent brain\\nconfig (provider/model/system prompt/etc.) and tool set are resolved at runtime from\\nthat resource; the module's input_transforms then only carry the flow-local inputs\\n(user_message, user_attachments, enabled_tools and the history inputs memory_id and previous_messages).\\n"},"tool_inputs":{"type":"object","description":"Host-local wiring for an agent's tool inputs, keyed by tool id then input key. Binds the\\nreferenced agent's tools to this flow's context (flow_input/results) without mutating the\\nshared resource; overlaid onto the tools' input_transforms at runtime \\u2014 including when\\n\`agent\` is unset, since a step forked for editing keeps these overrides until it is saved\\nback or unlinked.\\n","additionalProperties":{"type":"object","additionalProperties":{"$ref":"#/components/schemas/InputTransform"}}},"parallel":{"type":"boolean","description":"If true, the agent can execute multiple tool calls in parallel"}},"required":["type","input_transforms"]},"AiDecision":{"type":"object","description":"AI decision step: one call to a decision model (TypeSafe's Jev, Cloudflare's\\nJev-compatible Clef, or OpenAI's Decisions API) that answers typed questions about a\\nstate with calibrated probabilities, instead of generating text.\\nPrefer it over an AI agent to classify, route, score or check something: it is fast,\\ncheap and its answers are structured. Its result is { output: { <question name>: answer },\\nmodel, usage }, so a later step reads e.g. results.<id>.output.intent.choice. To route on\\nthe answers, follow it with a branchone whose branch exprs read\\nresults.<id>.output.<question>.choice. Usable as an AI agent tool, where the calling agent\\nsupplies the state.\\n","properties":{"input_transforms":{"type":"object","description":"Input parameters for the decision mapped to their values","properties":{"provider":{"$ref":"#/components/schemas/ProviderTransform"},"state":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"What the questions are asked about: a string, an object or an array of strings.\\nAn object with descriptive keys holding only what the questions need works best.\\nExample: { message: flow_input.message, plan: results.a.plan }\\n"},"questions":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Object mapping each question name to { type, instructions, criteria }, where type is:\\n- 'choice': criteria maps each option to its description (up to 255); the answer\\n has choice, probabilities and confidence\\n- 'score': criteria is an ordered array of 2 to 10 level descriptions; the answer\\n has score, legend, probabilities and confidence\\n- 'noul': yes/no, criteria optionally { true, false } descriptions; the answer has\\n noul, the probability of yes (0 to 1)\\nExample: { intent: { type: 'choice', instructions: 'What does the customer want?',\\ncriteria: { refund: 'Money back', bug: 'Something is broken' } } }\\n"}},"required":["provider","state","questions"]},"type":{"type":"string","enum":["aidecision"]},"tag":{"type":"string","description":"Worker group tag for execution routing. If not set, the step runs on the flow's tag (default \`flow\`)"}},"required":["type","input_transforms"]},"Identity":{"type":"object","description":"Pass-through module that returns its input unchanged. Useful for flow structure or as a placeholder","properties":{"type":{"type":"string","enum":["identity"]},"flow":{"type":"boolean","description":"If true, marks this as a flow identity (special handling)"}},"required":["type"]},"FlowStatus":{"type":"object","properties":{"step":{"type":"integer"},"modules":{"type":"array","items":{"$ref":"#/components/schemas/FlowStatusModule"}},"user_states":{"additionalProperties":true},"preprocessor_module":{"allOf":[{"$ref":"#/components/schemas/FlowStatusModule"}]},"failure_module":{"allOf":[{"$ref":"#/components/schemas/FlowStatusModule"},{"type":"object","properties":{"parent_module":{"type":"string"}}}]},"retry":{"type":"object","properties":{"fail_count":{"type":"integer"},"failed_jobs":{"type":"array","items":{"type":"string","format":"uuid"}}}}},"required":["step","modules","failure_module"]},"FlowStatusModule":{"type":"object","properties":{"type":{"type":"string","enum":["WaitingForPriorSteps","WaitingForEvents","WaitingForExecutor","InProgress","Success","Failure"]},"id":{"type":"string"},"job":{"type":"string","format":"uuid"},"count":{"type":"integer"},"progress":{"type":"integer"},"iterator":{"type":"object","properties":{"index":{"type":"integer"},"itered":{"type":"array","items":{}},"itered_len":{"type":"integer"},"args":{}}},"flow_jobs":{"type":"array","items":{"type":"string"}},"flow_jobs_success":{"type":"array","items":{"type":"boolean"}},"flow_jobs_duration":{"type":"object","properties":{"started_at":{"type":"array","items":{"type":"string"}},"duration_ms":{"type":"array","items":{"type":"integer"}}}},"branch_chosen":{"type":"object","properties":{"type":{"type":"string","enum":["branch","default"]},"branch":{"type":"integer"}},"required":["type"]},"branchall":{"type":"object","properties":{"branch":{"type":"integer"},"len":{"type":"integer"}},"required":["branch","len"]},"approvers":{"type":"array","items":{"type":"object","properties":{"resume_id":{"type":"integer"},"approver":{"type":"string"}},"required":["resume_id","approver"]}},"failed_retries":{"type":"array","items":{"type":"string","format":"uuid"}},"skipped":{"type":"boolean"},"agent_actions":{"type":"array","items":{"type":"object","oneOf":[{"type":"object","properties":{"job_id":{"type":"string","format":"uuid"},"function_name":{"type":"string"},"type":{"type":"string","enum":["tool_call"]},"module_id":{"type":"string"}},"required":["job_id","function_name","type","module_id"]},{"type":"object","properties":{"call_id":{"type":"string","format":"uuid"},"function_name":{"type":"string"},"resource_path":{"type":"string"},"type":{"type":"string","enum":["mcp_tool_call"]},"arguments":{"type":"object"}},"required":["call_id","function_name","resource_path","type"]},{"type":"object","properties":{"type":{"type":"string","enum":["web_search"]}},"required":["type"]},{"type":"object","properties":{"type":{"type":"string","enum":["message"]}},"required":["content","type"]}]}},"agent_actions_success":{"type":"array","items":{"type":"boolean"}}},"required":["type"]}}`;
export const CLI_COMMANDS = `# Windmill CLI Commands
The Windmill CLI (\`wmill\`) provides commands for managing scripts, flows, apps, and other resources.
## Global Options
- \`--workspace <workspace:string>\` - Specify the target workspace. This overrides the default workspace.
- \`--debug --verbose\` - Show debug/verbose logs
- \`--show-diffs\` - Show diff informations when syncing (may show sensitive informations)
- \`--token <token:string>\` - Specify an API token. This will override any stored token.
- \`--base-url <baseUrl:string>\` - Specify the base URL of the API. If used, --token and --workspace are required and no local remote/workspace already set will be used.
- \`--config-dir <configDir:string>\` - Specify a custom config directory. Overrides WMILL_CONFIG_DIR environment variable and default ~/.config location.
## Commands
### app
app related commands
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`app list\` - list all apps
- \`--json\` - Output as JSON (for piping to jq)
- \`app get <path:string>\` - get an app's details
- \`--json\` - Output as JSON (for piping to jq)
- \`app push [file_path:string] [remote_path:string]\` - push a local app. With no args, infers the app from the current directory and the remote path from its location relative to wmill.yaml.
- \`app dev [app_folder:string]\` - Start a development server for building apps with live reload and hot module replacement
- \`--port <port:number>\` - Port to run the dev server on (will find next available port if occupied)
- \`--host <host:string>\` - Host to bind the dev server to
- \`--entry <entry:string>\` - Entry point file (default: index.ts for Svelte/Vue, index.tsx otherwise)
- \`--no-open\` - Don't automatically open the browser
- \`--recording\` - Frame the app in a shell with a Record button, to capture a replayable session recording of the app under development
- \`app lint [app_folder:string]\` - Lint a raw app folder to validate structure and buildability
- \`--fix\` - Attempt to fix common issues (not implemented yet)
- \`app bundle [app_folder:string]\` - Bundle a raw app folder to js/css without deploying it
- \`--out <dir:string>\` - Directory to write bundle.js and bundle.css into (default: <app_folder>/dist)
- \`--no-minify\` - Skip minification
- \`app new\` - create a new raw app from a template
- \`--summary <summary:string>\` - App summary (short description). Skips the prompt when provided. Triggers non-interactive mode.
- \`--path <path:string>\` - App path (e.g., f/folder/my_app or u/username/my_app). Skips the prompt when provided. Triggers non-interactive mode.
- \`--framework <framework:string>\` - Framework template: react19 | react18 | svelte5 | vue. Skips the prompt when provided. Triggers non-interactive mode.
- \`--datatable <datatable:string>\` - Datatable to wire up. Without this flag in non-interactive mode, no datatable is configured.
- \`--schema <schema:string>\` - Schema to use with --datatable. If it doesn't exist yet, a sql_to_apply/ migration (CREATE SCHEMA IF NOT EXISTS) is written for it.
- \`--overwrite\` - Overwrite the target directory if it already exists, without prompting.
- \`--no-open-in-desktop\` - Do not prompt to open the new app in Claude Desktop.
- \`app generate-agents [app_folder:string]\` - regenerate AGENTS.md and DATATABLES.md from remote workspace
- \`app set-permissioned-as <path:string> <email:string>\` - Set the on_behalf_of_email for an app (requires admin or wm_deployers group)
### audit
View audit logs (requires admin)
**Subcommands:**
- \`audit list\` - List audit log entries
- \`audit get <id:string>\` - Get a specific audit log entry
- \`--json\` - Output as JSON (for piping to jq)
### config
Show all available wmill.yaml configuration options
**Options:**
- \`--json\` - Output as JSON for programmatic consumption
**Subcommands:**
- \`config migrate\` - Migrate wmill.yaml from gitBranches/environments to workspaces format
### datatable
datatable related commands
**Subcommands:**
- \`datatable list\` - list all datatables in the workspace
- \`--json\` - Output as JSON (for piping to jq)
- \`datatable run <sql:string>\` - run a SQL query on a datatable
- \`-n --name <name:string>\` - Datatable name (default: main)
- \`-s --silent\` - Output only the final result as JSON. Useful for scripting.
- \`datatable migrate\` - manage datatable migrations
- \`datatable migrate new <name:string>\` - scaffold a new migration (.up.sql / .down.sql files)
- \`-d --datatable <datatable:string>\` - Target datatable (default: main)
- \`datatable migrate up\` - apply all pending migrations to the main datatable (or one via --datatable)
- \`-d --datatable <datatable:string>\` - Target datatable (default: main)
- \`datatable migrate down\` - roll back the most recent migration on the main datatable (or one via --datatable)
- \`-d --datatable <datatable:string>\` - Target datatable (default: main)
- \`datatable migrate status\` - show applied and pending migrations on the main datatable (or one via --datatable)
- \`-d --datatable <datatable:string>\` - Target datatable (default: main)
- \`--json\` - Output as JSON (for piping to jq)
- \`datatable create [name:string]\` - register a datatable database in the workspace (default: instance-backed 'main') so scripts can use datatable://<name>
- \`--resource <resource:string>\` - Back the datatable with an existing postgresql resource path instead of the instance database
- \`--force\` - Allow adding to a workspace that already has datatables (fork metadata on existing ones is not preserved)
- \`datatable serve\` - Serve all datatables as a Postgres-wire endpoint (psql, DBeaver, pgAdmin); the client picks the datatable via the database name in its connection string
- \`--port <port:number>\` - Port to listen on (default: first free port in 5433-5500)
- \`--host <host:string>\` - Bind address (default: 127.0.0.1)
- \`--password <password:string>\` - Password for Postgres clients (default: generate a random password at startup)
- \`datatable psql\` - Start a serve listener and launch psql connected to it
- \`-n --name <name:string>\` - Datatable to connect psql to (default: main)
- \`--port <port:number>\` - Port the proxy listens on (default: first free port in 5433-5500)
- \`--host <host:string>\` - Bind address for the proxy (default: 127.0.0.1)
- \`--password <password:string>\` - Password for the temporary Postgres proxy (default: generate a random password at startup)
### dependencies
workspace dependencies related commands
**Alias:** \`deps\`
**Subcommands:**
- \`dependencies push <file_path:string>\` - Push workspace dependencies from a local file
### dev
Watch local file changes and live-reload the dev page for preview. Does NOT deploy to the remote workspace — use wmill sync push for that.
**Options:**
- \`--includes <pattern...:string>\` - Filter paths given a glob pattern or path
- \`--proxy-port <port:number>\` - Port for a localhost reverse proxy to the remote Windmill server
- \`--path <path:string>\` - Watch a specific windmill path (e.g., u/admin/my_script or f/my_flow)
- \`--no-open\` - Do not open the browser automatically
### digest
Compute the content digest of local scripts and flows, as the \`digest\` and \`root_digest\` claims of job OIDC tokens carry it. Run from the root of a sync checkout, pulled after the deployment's dependency jobs completed: they write the lockfiles the digest covers. A flow also lists the digest of each inline step, as \`<flow path>/<step id>\`.
**Arguments:** \`<paths...:string>\`
**Options:**
- \`--json\` - Output the digests as JSON
### docs
Search Windmill documentation.
**Arguments:** \`<query:string>\`
**Options:**
- \`--json\` - Output results as JSON.
### ducklake
ducklake related commands
**Subcommands:**
- \`ducklake list\` - list all ducklakes in the workspace
- \`--json\` - Output as JSON (for piping to jq)
- \`ducklake run <sql:string>\` - run a SQL query on a ducklake
- \`-n --name <name:string>\` - Ducklake name (default: main)
- \`-s --silent\` - Output only the final result as JSON. Useful for scripting.
### flow
flow related commands
**Options:**
- \`--show-archived\` - Enable archived flows in output
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`flow list\` - list all flows
- \`--show-archived\` - Enable archived flows in output
- \`--json\` - Output as JSON (for piping to jq)
- \`flow get <path:string>\` - get a flow's details
- \`--json\` - Output as JSON (for piping to jq)
- \`flow push <file_path:string> <remote_path:string>\` - push a local flow spec. This overrides any remote versions.
- \`--message <message:string>\` - Deployment message
- \`flow run <path:string>\` - run a flow by path.
- \`-d --data <data:string>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-. A resource argument is the bare string $res:<path> as its whole value, and a variable argument is the bare string $var:<path> — not an object wrapper keyed on $res/$var, and not a plain path.
- \`-s --silent\` - Do not ouput anything other then the final output. Useful for scripting.
- \`--tag <tag:string>\` - Override the worker tag the run is dispatched to (e.g. to route it to dev workers instead of the flow's default tag).
- \`flow preview <flow_path:string>\` - preview a local flow without deploying it. Runs the flow definition from local files and uses local PathScripts by default. Pass --step <id> to run only one module in isolation (resolves nested steps inside branchone/branchall/forloopflow/whileloopflow plus the special preprocessor/failure modules; supported step types: rawscript, script, flow).
- \`-d --data <data:string>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-. A resource argument is the bare string $res:<path> as its whole value, and a variable argument is the bare string $var:<path> — not an object wrapper keyed on $res/$var, and not a plain path.
- \`-s --silent\` - Do not output anything other then the final output. Useful for scripting.
- \`--remote\` - Use deployed workspace scripts for PathScript steps instead of local files.
- \`--step <step_id:string>\` - Run only the named step instead of the whole flow. Honors --data as the step's args and --remote / local-PathScript resolution the same way the full-flow preview does.
- \`--tag <tag:string>\` - Override the worker tag the preview is dispatched to (e.g. to route it to dev workers instead of the flow's default tag).
- \`flow new <flow_path:string>\` - create a new empty flow
- \`--summary <summary:string>\` - flow summary
- \`--description <description:string>\` - flow description
- \`flow bootstrap <flow_path:string>\` - create a new empty flow (alias for new)
- \`--summary <summary:string>\` - flow summary
- \`--description <description:string>\` - flow description
- \`flow history <path:string>\` - Show version history for a flow
- \`--json\` - Output as JSON (for piping to jq)
- \`flow show-version <path:string> <version:string>\` - Show a specific version of a flow
- \`--json\` - Output as JSON (for piping to jq)
- \`flow set-permissioned-as <path:string> <email:string>\` - Set the on_behalf_of_email for a flow (requires admin or wm_deployers group)
### folder
folder related commands
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`folder list\` - list all folders
- \`--json\` - Output as JSON (for piping to jq)
- \`folder get <name:string>\` - get a folder's details
- \`--json\` - Output as JSON (for piping to jq)
- \`folder new <name:string>\` - create a new folder locally
- \`--summary <summary:string>\` - folder summary
- \`folder push <name:string>\` - push a local folder to the remote by name. This overrides any remote versions.
- \`folder add-missing\` - create default folder.meta.yaml for all subdirectories of f/ that are missing one
- \`-y, --yes\` - skip confirmation prompt
- \`folder show-rules <name:string>\` - Show default_permissioned_as rules for a folder. Use --test-path to see which rule matches a given item path.
- \`--test-path <path:string>\` - Test which rule matches this item path (e.g. f/prod/jobs/my_script)
- \`--json\` - Output as JSON
### generate-metadata
Regenerate stale local locks and script schemas and refresh wmill-lock.yaml content hashes (scripts, flows, apps). Writes local files only, not a deploy. Run it after edits that add or remove imports or change a script's arguments, so the lock, the auto-generated UI schema, and wmill-lock.yaml stay in sync.
**Arguments:** \`[folder:string]\`
**Options:**
- \`--yes\` - Skip confirmation prompt
- \`--dry-run\` - Show what would be updated without making changes
- \`--lock-only\` - Re-generate only the lock files
- \`--schema-only\` - Re-generate only script schemas (skips flows and apps)
- \`--skip-scripts\` - Skip processing scripts
- \`--skip-flows\` - Skip processing flows
- \`--skip-apps\` - Skip processing apps
- \`--strict-folder-boundaries\` - Only update items inside the specified folder (requires folder argument)
- \`--parallel <n:number>\` - Number of items to process in parallel
- \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which files to include
- \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which files to exclude
**Subcommands:**
- \`generate-metadata rehash [folder:string]\` - Refresh wmill-lock.yaml content hashes from the on-disk .lock and .script.yaml without re-resolving dependencies or hitting the backend. Use when those files are already correct and only the hashes need updating: bootstrapping missing entries or recovering from hash drift.
- \`--skip-scripts\` - Skip processing scripts
- \`--skip-flows\` - Skip processing flows
- \`--skip-apps\` - Skip processing apps
- \`--parallel <n:number>\` - Number of items to process in parallel
- \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which files to include
- \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which files to exclude
### gitsync-settings
Manage git-sync settings between local wmill.yaml and Windmill backend
**Subcommands:**
- \`gitsync-settings pull\` - Pull git-sync settings from Windmill backend to local wmill.yaml
- \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo)
- \`--default\` - Write settings to top-level defaults instead of overrides
- \`--replace\` - Replace existing settings (non-interactive mode)
- \`--override\` - Add branch-specific override (non-interactive mode)
- \`--diff\` - Show differences without applying changes
- \`--json-output\` - Output in JSON format
- \`--with-backend-settings <json:string>\` - Use provided JSON settings instead of querying backend (for testing)
- \`--yes\` - Skip interactive prompts and use default behavior
- \`--promotion <branch:string>\` - Use promotionOverrides from the specified branch instead of regular overrides
- \`gitsync-settings push\` - Push git-sync settings from local wmill.yaml to Windmill backend
- \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo)
- \`--diff\` - Show what would be pushed without applying changes
- \`--json-output\` - Output in JSON format
- \`--with-backend-settings <json:string>\` - Use provided JSON settings instead of querying backend (for testing)
- \`--yes\` - Skip interactive prompts and use default behavior
- \`--promotion <branch:string>\` - Use promotionOverrides from the specified branch instead of regular overrides
- \`gitsync-settings status\` - Report how local changes deploy to the workspace (git push vs wmill sync push)
- \`--json-output\` - Output in JSON format
### group
Manage workspace groups
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`group list\` - List all groups in the workspace
- \`--json\` - Output as JSON (for piping to jq)
- \`group get <name:string>\` - Get group details and members
- \`--json\` - Output as JSON (for piping to jq)
- \`group create <name:string>\` - Create a new group
- \`--summary <summary:string>\` - Group summary/description
- \`group delete <name:string>\` - Delete a group
- \`group add-user <name:string> <username:string>\` - Add a user to a group
- \`group remove-user <name:string> <username:string>\` - Remove a user from a group
### hub
Hub related commands. EXPERIMENTAL. INTERNAL USE ONLY.
**Subcommands:**
- \`hub pull\` - pull any supported definitions. EXPERIMENTAL.
### init
Bootstrap a windmill project with a wmill.yaml file
**Options:**
- \`--use-default\` - Use default settings without checking backend
- \`--use-backend\` - Use backend git-sync settings if available
- \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo) when using backend settings
- \`--bind-profile\` - Automatically bind active workspace profile to current Git branch
- \`--no-bind-profile\` - Skip workspace profile binding prompt
### instance
sync local with a remote instance or the opposite (push or pull)
**Subcommands:**
- \`instance add [instance_name:string] [remote:string] [token:string]\` - Add a new instance
- \`instance remove <instance:string:instance>\` - Remove an instance
- \`instance switch <instance:string:instance>\` - Switch the current instance
- \`instance pull\` - Pull instance settings, users, configs, instance groups and overwrite local
- \`--yes\` - Pull without needing confirmation
- \`--dry-run\` - Perform a dry run without making changes
- \`--skip-users\` - Skip pulling users
- \`--skip-settings\` - Skip pulling settings
- \`--skip-configs\` - Skip pulling configs (worker groups)
- \`--skip-groups\` - Skip pulling instance groups
- \`--include-workspaces\` - Also pull workspaces
- \`--folder-per-instance\` - Create a folder per instance
- \`--instance <instance:string>\` - Name of the instance to pull from, override the active instance
- \`--prefix <prefix:string>\` - Prefix of the local workspaces to pull, used to create the folders when using --include-workspaces
- \`--prefix-settings\` - Store instance yamls inside prefixed folders when using --prefix and --folder-per-instance
- \`instance push\` - Push instance settings, users, configs, group and overwrite remote
- \`--yes\` - Push without needing confirmation
- \`--dry-run\` - Perform a dry run without making changes
- \`--skip-users\` - Skip pushing users
- \`--skip-settings\` - Skip pushing settings
- \`--skip-configs\` - Skip pushing configs (worker groups)
- \`--skip-groups\` - Skip pushing instance groups
- \`--include-workspaces\` - Also push workspaces
- \`--folder-per-instance\` - Create a folder per instance
- \`--instance <instance:string>\` - Name of the instance to push to, override the active instance
- \`--prefix <prefix:string>\` - Prefix of the local workspaces folders to push
- \`--prefix-settings\` - Store instance yamls inside prefixed folders when using --prefix and --folder-per-instance
- \`instance whoami\` - Display information about the currently logged-in user
- \`instance get-config\` - Dump the current instance config (global settings + worker configs) as YAML
- \`-o, --output-file <file:string>\` - Write YAML to a file instead of stdout
- \`--show-secrets\` - Include sensitive fields (license key, JWT secret) without prompting
- \`--instance <instance:string>\` - Name of the instance, override the active instance
- \`instance connect-slack\` - Non-interactively connect Slack at the instance level using a pre-minted bot token (xoxb-...). Produces the same artifacts as the UI OAuth flow: global_settings 'slack' row + encrypted f/slack_bot/global_bot_token variable and resource in the admins workspace.
- \`--bot-token <bot_token:string>\` - Slack bot token (xoxb-...)
- \`--team-id <team_id:string>\` - Slack team id
- \`--team-name <team_name:string>\` - Slack team name
- \`--instance <instance:string>\` - Instance profile to connect against (defaults to the active instance)
### job
Manage jobs (list, inspect, cancel)
**Subcommands:**
- \`job list\` - List recent jobs
- \`job get <id:string>\` - Get job details. For flows: shows step tree with sub-job IDs
- \`--json\` - Output as JSON (for piping to jq)
- \`job result <id:string>\` - Get the result of a completed job (machine-friendly)
- \`job logs <id:string>\` - Get job logs. For flows: aggregates all step logs
- \`job cancel <id:string>\` - Cancel a running or queued job
- \`--reason <reason:string>\` - Reason for cancellation
- \`job rerun <id:string>\` - Re-run a completed job with the same args. Prints the new job UUID on stdout.
- \`job restart <id:string>\` - Restart a completed flow at a given top-level step. Prints the new flow job UUID on stdout.
- \`--step <stepId:string>\` - Top-level step id to restart the flow from
- \`--iteration <n:number>\` - For a top-level branchall or for-loop step, the iteration to restart at
### jobs
Manage jobs (import/export)
**Subcommands:**
- \`jobs pull [workspace:string]\` - Pull completed and queued jobs from workspace
- \`-c, --completed-output <file:string>\` - Completed jobs output file (default: completed_jobs.json)
- \`-q, --queued-output <file:string>\` - Queued jobs output file (default: queued_jobs.json)
- \`--skip-worker-check\` - Skip checking for active workers before export
- \`jobs push [workspace:string]\` - Push completed and queued jobs to workspace
- \`-c, --completed-file <file:string>\` - Completed jobs input file (default: completed_jobs.json)
- \`-q, --queued-file <file:string>\` - Queued jobs input file (default: queued_jobs.json)
- \`--skip-worker-check\` - Skip checking for active workers before import
### lint
Validate Windmill flow, schedule, and trigger YAML files in a directory (including AI agent tool names and flow groups/notes), and report script metadata that has no deployable content file
**Arguments:** \`[directory:string]\`
**Options:**
- \`--json\` - Output results in JSON format
- \`--fail-on-warn\` - Exit with code 1 when warnings are emitted
- \`--locks-required\` - Fail if scripts or flow inline scripts that need locks have no locks
- \`-w, --watch\` - Watch for file changes and re-lint automatically
### object-storage
Object storage (S3) related commands. Operates on the workspace's default object storage; use --storage to target a configured secondary storage.
**Alias:** \`s3\`
**Subcommands:**
- \`object-storage list\` - List configured object storages for the workspace (default + secondary).
- \`--json\` - Output as JSON (for piping to jq)
- \`object-storage files [prefix:string]\` - List files in an object storage. Optionally filter by prefix.
- \`--json\` - Output as JSON (for piping to jq)
- \`--max-keys <maxKeys:number>\` - Page size (default 100)
- \`--marker <marker:string>\` - Pagination marker from a previous response
- \`--storage <storage:string>\` - Secondary storage name (omit for the workspace default)
- \`object-storage upload <local_path:string> <file_key:string>\` - Upload a local file to object storage at the given file key.
- \`--storage <storage:string>\` - Secondary storage name
- \`--content-type <contentType:string>\` - Content-Type header to set on the object
- \`--content-disposition <contentDisposition:string>\` - Content-Disposition header to set on the object
- \`object-storage download <file_key:string> [output_path:string]\` - Download an object to a local file (or stdout). Default output path is the basename of the file key in the current directory.
- \`--storage <storage:string>\` - Secondary storage name
- \`--stdout\` - Write file contents to stdout instead of a file
- \`object-storage delete <file_key:string>\` - Delete an object from object storage. Prompts for confirmation unless --yes is set.
- \`--storage <storage:string>\` - Secondary storage name
- \`--yes\` - Skip the confirmation prompt
- \`object-storage move <src_file_key:string> <dest_file_key:string>\` - Move an object within the same storage (rename or relocate by key).
- \`--storage <storage:string>\` - Secondary storage name
- \`object-storage info <file_key:string>\` - Show metadata (size, mime, last-modified) for an object.
- \`--json\` - Output as JSON (for piping to jq)
- \`--storage <storage:string>\` - Secondary storage name
- \`object-storage preview <file_key:string>\` - Preview the contents of an object (text/CSV). Use --bytes-from / --bytes-length to peek at a slice of binary files.
- \`--storage <storage:string>\` - Secondary storage name
- \`--mime <mime:string>\` - Override the detected mime type (e.g. text/csv)
- \`--bytes-from <bytesFrom:number>\` - Start offset in bytes
- \`--bytes-length <bytesLength:number>\` - Number of bytes to read
- \`--csv-separator <csvSeparator:string>\` - CSV column separator (default ,)
- \`--csv-header\` - Treat the first CSV row as a header
### pipeline
inspect asset-driven pipelines (scripts marked \`// pipeline\`, wired by \`// on <spec>\` annotations)
**Subcommands:**
- \`pipeline list\` - list pipeline folders in the workspace
- \`--json\` - Output as JSON (for piping to jq)
- \`pipeline show <folder:string>\` - render a pipeline folder's DAG (sources, lineage, subscriptions) in the terminal
- \`--json\` - Output the raw asset graph as JSON
- \`--local\` - Build the graph from local working-tree files (// pipeline scripts) instead of the deployed workspace — no deploy needed.
- \`pipeline run <folder:string>\` - run a cascade: from --from (a root OR any mid-DAG model), fan downstream up to the --to end node(s)
- \`--from <script:string>\` - Start script (short name or path). May be any node, including a mid-DAG model — that node plus its transitive downstream runs, upstream is NOT re-run (dbt \`--select model+\`). Defaults to the folder's sole schedule/manual root.
- \`--to <node:string>\` - End node(s) to stop at — script names/paths or asset URIs (e.g. datatable://main/staged). Repeatable or comma-separated. Omit to run the full downstream.
- \`--dry-run\` - Print the topological run plan without executing.
- \`--json\` - Output the plan as JSON (for piping to jq).
- \`--local\` - Run the local working-tree scripts via preview (no deploy) instead of the deployed versions; the graph is built from local files.
- \`--upload <binding:string>\` - Bind an object to a data_upload/webhook entry point so it runs in the cascade, as SCRIPT[:PARAM]=SOURCE (SOURCE is a local file or an s3://key). Local files are uploaded to the workspace store; the S3Object param is inferred when the script has exactly one. Repeatable.
- \`--arg <binding:string>\` - Pass a plain run arg to a script in the cascade, as SCRIPT:PARAM=VALUE (VALUE is parsed as JSON when possible, else taken as a string — e.g. daily_report:partition=2026-07-02). Repeatable.
- \`--partition <value:string>\` - Partition value for \`// partitioned\` scripts in the run (e.g. 2026-06-30) — use it to backfill a past slice. With --local, time kinds (daily/hourly/weekly/monthly) default to the current UTC period when omitted; \`dynamic\` always needs it. Deployed runs without it defer to backend run-start resolution.
- \`pipeline docs <folder:string>\` - generate PIPELINE.md (+ AGENTS.md pointer) describing a folder's pipeline graph and datatable schemas, for an editor / agentic loop
- \`--local\` - Build the graph from local working-tree files instead of the deployed workspace.
- \`pipeline dev [folder:string]\` - Live-preview a data pipeline from local files: watch an \`f/<folder>\` of \`// pipeline\` scripts, push the working-tree graph to the dev page, and run the cascade via preview (no deploy).
- \`--port <port:number>\` - Port for the dev WebSocket server.
- \`--no-open\` - Do not open the browser automatically.
- \`--frontend <origin:string>\` - Origin serving the /pipeline_dev page (e.g. http://localhost:3000 for a locally-run frontend). Defaults to the workspace remote; use it when the remote's deployed frontend predates the dev page.
### protection-rules
Sync workspace protection rules between protection-rules.yaml and Windmill. The file is keyed by workspace name; keys must match wmill.yaml 'workspaces'.
**Subcommands:**
- \`protection-rules pull [workspace:string]\` - Pull protection rules from Windmill into protection-rules.yaml for a workspace
- \`--all\` - Pull every workspace defined in wmill.yaml
- \`--dry-run\` - Show what would change without writing the file
- \`--json-output\` - Output in JSON format
- \`protection-rules push [workspace:string]\` - Push protection rules from protection-rules.yaml to Windmill for a workspace (full reconcile: creates, updates, and deletes)
- \`--all\` - Push every workspace defined in protection-rules.yaml
- \`--dry-run\` - Show what would change without applying
- \`--json-output\` - Output in JSON format
- \`--yes\` - Skip the confirmation prompt (including deletions)
### queues
List all queues with their metrics
**Arguments:** \`[workspace:string] the optional workspace to filter by (default to all workspaces)\`
**Options:**
- \`--instance [instance]\` - Name of the instance to push to, override the active instance
- \`--base-url [baseUrl]\` - If used with --token, will be used as the base url for the instance
### refresh
Refresh wmill-managed project files (AGENTS.wmill.md, skills, tsconfig.wmill.json)
**Subcommands:**
- \`refresh prompts\` - Refresh AGENTS.wmill.md and managed skills. User-owned AGENTS.md and CLAUDE.md are never overwritten unless you opt in.
- \`--yes\` - Non-interactive: append the @AGENTS.wmill.md include to an existing AGENTS.md / CLAUDE.md without prompting. Without it, a non-interactive run leaves an unlinked file untouched.
- \`refresh tsconfig\` - Refresh the wmill-managed tsconfig.wmill.json (and Deno import map for Deno projects)
- \`--yes\` - Non-interactive: wire an existing custom tsconfig.json/deno.json to the managed file without prompting (a previously-generated config is always migrated automatically).
### resource
resource related commands
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`resource list\` - list all resources
- \`--json\` - Output as JSON (for piping to jq)
- \`resource get <path:string>\` - get a resource's details
- \`--json\` - Output as JSON (for piping to jq)
- \`resource new <path:string>\` - create a new resource locally
- \`resource push <file_path:string> <remote_path:string>\` - push a local resource spec. This overrides any remote versions.
### resource-type
resource type related commands
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`resource-type list\` - list all resource types
- \`--schema\` - Show schema in the output
- \`--json\` - Output as JSON (for piping to jq)
- \`resource-type get <path:string>\` - get a resource type's details
- \`--json\` - Output as JSON (for piping to jq)
- \`resource-type new <name:string>\` - create a new resource type locally
- \`resource-type push <file_path:string> <name:string>\` - push a local resource spec. This overrides any remote versions.
- \`resource-type generate-namespace\` - Create a TypeScript definition file with the RT namespace generated from the resource types
### schedule
schedule related commands
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`schedule list\` - list all schedules
- \`--json\` - Output as JSON (for piping to jq)
- \`schedule get <path:string>\` - get a schedule's details
- \`--json\` - Output as JSON (for piping to jq)
- \`schedule new <path:string>\` - create a new schedule locally
- \`schedule push <file_path:string> <remote_path:string>\` - push a local schedule spec. This overrides any remote versions.
- \`schedule enable <path:string>\` - Enable a schedule
- \`--force\` - Bypass the fork-conflict warning when the parent workspace has the same schedule (acknowledges that both crons will fire)
- \`schedule disable <path:string>\` - Disable a schedule
- \`schedule set-permissioned-as <path:string> <email:string>\` - Set the email (run-as user) for a schedule (requires admin or wm_deployers group)
### script
script related commands
**Options:**
- \`--show-archived\` - Show archived scripts instead of active ones
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`script list\` - list all scripts
- \`--show-archived\` - Show archived scripts instead of active ones
- \`--json\` - Output as JSON (for piping to jq)
- \`script push <path:file>\` - push a local script spec. This overrides any remote versions. Use the script file (.ts, .js, .py, .sh)
- \`--message <message:string>\` - Deployment message
- \`script get <path:file>\` - get a script's details
- \`--json\` - Output as JSON (for piping to jq)
- \`script show <path:file>\` - show a script's content (alias for get)
- \`script run <path:file>\` - run a script by path
- \`-d --data <data:file>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-. A resource argument is the bare string $res:<path> as its whole value, and a variable argument is the bare string $var:<path> — not an object wrapper keyed on $res/$var, and not a plain path.
- \`-s --silent\` - Do not output anything other then the final output. Useful for scripting.
- \`--tag <tag:string>\` - Override the worker tag the run is dispatched to (e.g. to route it to dev workers instead of the script's default tag).
- \`script preview <path:file>\` - preview a local script without deploying it. Supports both regular and codebase scripts.
- \`-d --data <data:file>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-. A resource argument is the bare string $res:<path> as its whole value, and a variable argument is the bare string $var:<path> — not an object wrapper keyed on $res/$var, and not a plain path.
- \`-s --silent\` - Do not output anything other than the final output. Useful for scripting.
- \`--tag <tag:string>\` - Override the worker tag the preview is dispatched to (e.g. to route it to dev workers instead of the script's default tag).
- \`script new <path:file> <language:string>\` - create a new script
- \`--summary <summary:string>\` - script summary
- \`--description <description:string>\` - script description
- \`script bootstrap <path:file> <language:string>\` - create a new script (alias for new)
- \`--summary <summary:string>\` - script summary
- \`--description <description:string>\` - script description
- \`script set-permissioned-as <path:string> <email:string>\` - Set the on_behalf_of_email for a script (requires admin or wm_deployers group)
- \`script history <path:string>\` - show version history for a script
- \`--json\` - Output as JSON (for piping to jq)
### sync
sync local with a remote workspaces or the opposite (push or pull)
**Subcommands:**
- \`sync pull\` - Pull any remote changes and apply them locally.
- \`--yes\` - Pull without needing confirmation
- \`--dry-run\` - Show changes that would be pulled without actually pushing
- \`--plain-secrets\` - Pull secrets as plain text
- \`--json\` - Use JSON instead of YAML
- \`--skip-variables\` - Skip syncing variables (including secrets)
- \`--skip-secrets\` - Skip syncing only secrets variables
- \`--include-secrets\` - Include secrets in sync (overrides skipSecrets in wmill.yaml)
- \`--skip-resources\` - Skip syncing resources
- \`--skip-resource-types\` - Skip syncing resource types
- \`--skip-scripts\` - Skip syncing scripts
- \`--skip-flows\` - Skip syncing flows
- \`--skip-apps\` - Skip syncing apps
- \`--skip-folders\` - Skip syncing folders
- \`--skip-workspace-dependencies\` - Skip syncing workspace dependencies
- \`--skip-scripts-metadata\` - Skip syncing scripts metadata, focus solely on logic
- \`--include-schedules\` - Include syncing schedules
- \`--include-triggers\` - Include syncing triggers
- \`--include-users\` - Include syncing users
- \`--include-groups\` - Include syncing groups
- \`--include-settings\` - Include syncing workspace settings
- \`--include-key\` - Include workspace encryption key
- \`--keep-deleted\` - Do not delete local files for items that no longer exist on the remote workspace. Only adds and updates.
- \`--skip-branch-validation\` - Skip git branch validation and prompts
- \`--json-output\` - Output results in JSON format
- \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string). Overrides wmill.yaml includes
- \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which file to NOT take into account. Overrides wmill.yaml excludes
- \`--extra-includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string). Useful to still take wmill.yaml into account and act as a second pattern to satisfy
- \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo) when multiple repositories exist
- \`--promotion <branch:string>\` - Use promotionOverrides from the specified branch instead of regular overrides
- \`--branch, --env <branch:string>\` - [Deprecated: use --workspace] Override the current git branch/environment
- \`sync push\` - Push any local changes and apply them remotely.
- \`--yes\` - Push without needing confirmation
- \`--dry-run\` - Show changes that would be pushed without actually pushing
- \`--plain-secrets\` - Push secrets as plain text
- \`--json\` - Use JSON instead of YAML
- \`--skip-variables\` - Skip syncing variables (including secrets)
- \`--skip-secrets\` - Skip syncing only secrets variables
- \`--include-secrets\` - Include secrets in sync (overrides skipSecrets in wmill.yaml)
- \`--skip-resources\` - Skip syncing resources
- \`--skip-resource-types\` - Skip syncing resource types
- \`--skip-scripts\` - Skip syncing scripts
- \`--skip-flows\` - Skip syncing flows
- \`--skip-apps\` - Skip syncing apps
- \`--skip-folders\` - Skip syncing folders
- \`--skip-workspace-dependencies\` - Skip syncing workspace dependencies
- \`--skip-scripts-metadata\` - Skip syncing scripts metadata, focus solely on logic
- \`--include-schedules\` - Include syncing schedules
- \`--include-triggers\` - Include syncing triggers
- \`--include-users\` - Include syncing users
- \`--include-groups\` - Include syncing groups
- \`--include-settings\` - Include syncing workspace settings
- \`--include-key\` - Include workspace encryption key
- \`--skip-reencrypt-on-key-change\` - When the pushed encryption key differs from the remote, do NOT re-encrypt existing remote secrets. Only safe if they are already encrypted with the new key (e.g. workspace/instance migration). Default is to re-encrypt.
- \`--keep-deleted\` - Do not delete remote items that no longer exist locally. Only adds and updates.
- \`--skip-branch-validation\` - Skip git branch validation and prompts
- \`--json-output\` - Output results in JSON format
- \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string)
- \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which file to NOT take into account.
- \`--extra-includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string). Useful to still take wmill.yaml into account and act as a second pattern to satisfy
- \`--message <message:string>\` - Include a message that will be added to all scripts/flows/apps updated during this push
- \`--parallel <number>\` - Number of changes to process in parallel
- \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo) when multiple repositories exist
- \`--branch, --env <branch:string>\` - [Deprecated: use --workspace] Override the current git branch/environment
- \`--lint\` - Run lint validation before pushing
- \`--locks-required\` - Fail if scripts or flow inline scripts that need locks have no locks
- \`--auto-metadata\` - Automatically regenerate stale metadata (locks and schemas) before pushing
- \`--accept-overriding-permissioned-as-with-self\` - Accept that items with a different permissioned_as will be updated with your own user
### token
Manage API tokens
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`token list\` - List API tokens
- \`--json\` - Output as JSON (for piping to jq)
- \`token create\` - Create a new API token
- \`--label <label:string>\` - Token label
- \`--expiration <expiration:string>\` - Token expiration (ISO 8601 timestamp)
- \`token delete <token_prefix:string>\` - Delete a token by its prefix
### trash
List, inspect and restore items deleted in the last three days (requires admin)
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
- \`--kind <kind:string>\` - Only items of this kind: script, flow, app, schedule, variable, resource or a trigger kind such as http_trigger
- \`--limit <limit:integer>\` - Number of items to return (default 100, max 1000)
- \`--page <page:integer>\` - Page to return, starting at 1
**Subcommands:**
- \`trash list\` - List trashed items, most recently deleted first
- \`--json\` - Output as JSON (for piping to jq)
- \`--kind <kind:string>\` - Only items of this kind: script, flow, app, schedule, variable, resource or a trigger kind such as http_trigger
- \`--limit <limit:integer>\` - Number of items to return (default 100, max 1000)
- \`--page <page:integer>\` - Page to return, starting at 1
- \`trash get <id:integer>\` - Show a trashed item and the data it was deleted with
- \`--json\` - Output as JSON (for piping to jq)
- \`trash restore <ids...:integer>\` - Put trashed items back at their paths
### trigger
trigger related commands
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`trigger list\` - list all triggers
- \`--json\` - Output as JSON (for piping to jq)
- \`trigger get <path:string>\` - get a trigger's details
- \`--json\` - Output as JSON (for piping to jq)
- \`--kind <kind:string>\` - Trigger kind (http, websocket, kafka, nats, postgres, mqtt, amqp, sqs, gcp, azure, email). Recommended for faster lookup
- \`trigger new <path:string>\` - create a new trigger locally
- \`--kind <kind:string>\` - Trigger kind (required: http, websocket, kafka, nats, postgres, mqtt, amqp, sqs, gcp, azure, email)
- \`trigger push <file_path:string> <remote_path:string>\` - push a local trigger spec. This overrides any remote versions.
- \`trigger set-permissioned-as <path:string> <email:string>\` - Set the email (run-as user) for a trigger (requires admin or wm_deployers group)
- \`--kind <kind:string>\` - Trigger kind (required: http, websocket, kafka, nats, postgres, mqtt, amqp, sqs, gcp, azure, email)
### user
user related commands
**Subcommands:**
- \`user list\` - List the users of the workspace
- \`--json\` - Output as JSON (for piping to jq)
- \`user add <email:string> [password:string]\` - Create a user
- \`--superadmin\` - Specify to make the new user superadmin.
- \`--company <company:string>\` - Specify to set the company of the new user.
- \`--name <name:string>\` - Specify to set the name of the new user.
- \`user remove <email:string>\` - Delete a user
- \`user create-token\` - Create a new API token for the authenticated user
- \`--email <email:string>\` - Specify credentials to use for authentication. This will not be stored. It will only be used to exchange for a token with the API server, which will not be stored either.
- \`--password <password:string>\` - Specify credentials to use for authentication. This will not be stored. It will only be used to exchange for a token with the API server, which will not be stored either.
### variable
variable related commands
**Options:**
- \`--json\` - Output as JSON (for piping to jq)
**Subcommands:**
- \`variable list\` - list all variables
- \`--json\` - Output as JSON (for piping to jq)
- \`variable get <path:string>\` - get a variable's details
- \`--json\` - Output as JSON (for piping to jq)
- \`variable new <path:string>\` - create a new variable locally
- \`variable push <file_path:string> <remote_path:string>\` - Push a local variable spec. This overrides any remote versions.
- \`--plain-secrets\` - Push secrets as plain text
- \`variable add <value:string> <remote_path:string>\` - Create a new variable on the remote. This will update the variable if it already exists.
- \`--yes\` - Skip confirmation prompt when updating an existing variable
- \`--secret\` - Mark the variable as secret (default when creating a new variable)
- \`--no-secret\` - Mark the variable as non-secret (when updating, the existing setting is preserved if neither --secret nor --no-secret is passed)
- \`--description <description:string>\` - Set the variable description (when updating, the existing description is preserved if not passed)
- \`--plain-secrets\` - Push secrets as plain text
- \`--public\` - Legacy option, use --no-secret instead
### version
Show version information
### worker-groups
display worker groups, pull and push worker groups configs
**Subcommands:**
- \`worker-groups pull\` - Pull worker groups (similar to \`wmill instance pull --skip-users --skip-settings --skip-groups\`)
- \`--instance\` - Name of the instance to push to, override the active instance
- \`--base-url\` - Base url to be passed to the instance settings instead of the local one
- \`--yes\` - Pull without needing confirmation
- \`worker-groups push\` - Push worker groups (similar to \`wmill instance push --skip-users --skip-settings --skip-groups\`)
- \`--instance [instance]\` - Name of the instance to push to, override the active instance
- \`--base-url [baseUrl]\` - If used with --token, will be used as the base url for the instance
- \`--yes\` - Push without needing confirmation
### workers
List all workers grouped by worker groups
**Options:**
- \`--instance [instance]\` - Name of the instance to push to, override the active instance
- \`--base-url [baseUrl]\` - If used with --token, will be used as the base url for the instance
### workspace
workspace related commands
**Alias:** \`profile\`
**Subcommands:**
- \`workspace switch <workspace_name:string:workspace>\` - Switch to another workspace
- \`workspace add [workspace_name:string] [workspace_id:string] [remote:string]\` - Add a workspace
- \`-c --create\` - Create the workspace if it does not exist
- \`--create-workspace-name <workspace_name:string>\` - Specify the workspace name. Ignored if --create is not specified or the workspace already exists. Will default to the workspace id.
- \`--create-username <username:string>\` - Specify your own username in the newly created workspace. Ignored if --create is not specified, the workspace already exists or automatic username creation is enabled on the instance.
- \`workspace remove <workspace_name:string>\` - Remove a workspace
- \`workspace whoami\` - Show the currently active user
- \`workspace list\` - List local workspace profiles
- \`workspace list-remote\` - List workspaces on the remote server that you have access to
- \`--as-superadmin\` - List ALL workspaces on the instance (requires the token to belong to a superadmin/devops user)
- \`workspace list-forks\` - List forked workspaces on the remote server
- \`workspace bind\` - Create or update a workspace entry in wmill.yaml from the active profile
- \`--workspace <name:string>\` - Workspace name (default: current branch or workspaceId)
- \`--branch <branch:string>\` - Git branch to associate (default: workspace name)
- \`workspace unbind\` - Remove baseUrl and workspaceId from a workspace entry
- \`--workspace <name:string>\` - Workspace to unbind
- \`workspace fork [workspace_name:string] [workspace_id:string]\` - Create a forked workspace from its parent workspace.
The parent is resolved from your current git branch, not from the active profile: run this from a git repo checked out on the branch mapped to the parent workspace in wmill.yaml's \`workspaces:\` section (a fork branch of it resolves to the same parent). \`wmill workspace switch\` does not change which workspace is forked.
Arguments (omit both to be prompted interactively):
[workspace_name] Friendly display name for the fork, shown in the UI. May contain spaces, so quote it in the shell (e.g. "My Fork"). Max 50 chars. Defaults to "<parent workspace name>'s fork".
[workspace_id] Id for the fork. Must be a slug (no spaces or special characters) and is automatically prefixed with \`wm-fork-\`, so pass just the bare slug (e.g. \`my-fork\` becomes \`wm-fork-my-fork\`). This id also determines the fork's git branch name. Defaults to a slug derived from the name — or, when you are converting an existing branch into the fork branch, from that branch.
- \`--create-workspace-name <workspace_name:string>\` - Specify the workspace name. Ignored if --create is not specified or the workspace already exists. Will default to the workspace id.
- \`--color <color:string>\` - Workspace color (hex code, e.g. #ff0000)
- \`--datatable-behavior <behavior:string>\` - How to handle datatables: skip, schema_only, or schema_and_data (default: interactive prompt)
- \`--from-branch <branch:string>\` - Non-interactive override for the 'turn my current working branch into the fork' workflow: base the fork on <branch> (its bound workspace is the parent) and rename the current branch onto wm-fork/<branch>/<id>. Usually unneeded — from a working branch \`wmill workspace fork\` offers this interactively; from a base branch it creates a fresh fork branch.
- \`-y --yes\` - Skip interactive prompts (defaults datatable behavior to 'skip'). On a non-base branch, requires --from-branch since the base branch can't be prompted for.
- \`workspace delete-fork <fork_name:string>\` - Delete a forked workspace
- \`-y --yes\` - Skip confirmation prompt
- \`workspace merge\` - Compare and deploy changes between a fork and its parent workspace
- \`--direction <direction:string>\` - Deploy direction: to-parent or to-fork
- \`--all\` - Deploy all changed items including conflicts
- \`--skip-conflicts\` - Skip items modified in both workspaces
- \`--include <items:string>\` - Comma-separated kind:path items to include (e.g. script:f/test/main,flow:f/my/flow)
- \`--exclude <items:string>\` - Comma-separated kind:path items to exclude
- \`--preserve-on-behalf-of\` - Preserve original on_behalf_of/permissioned_as values
- \`-y --yes\` - Non-interactive mode (deploy without prompts)
- \`workspace connect-slack\` - Non-interactively connect Slack to the active workspace using a pre-minted bot token (xoxb-...). Produces the same artifacts as the UI OAuth flow: workspace_settings fields, g/slack group, f/slack_bot folder, and the encrypted bot token variable + resource at f/slack_bot/bot_token.
- \`--bot-token <bot_token:string>\` - Slack bot token (xoxb-...)
- \`--team-id <team_id:string>\` - Slack team id
- \`--team-name <team_name:string>\` - Slack team name
- \`workspace disconnect-slack\` - Clear slack_team_id / slack_name on the active workspace (marks the workspace as disconnected). Does NOT remove the bot token variable/resource/folder/group — delete those from the local sync folder and run 'wmill sync push' to tear them down. Does NOT remove the workspace-level OAuth override — set slack_oauth_client_id/_secret to '' in settings.yaml and push.
# Object Storage CLI
\`wmill object-storage\` (alias \`wmill s3\`) exposes the workspace's object storage (S3-compatible: AWS S3, MinIO, GCS, R2, Azure Blob) over the per-workspace \`/job_helpers/*\` endpoints.
## Key concepts (not obvious from per-command --help)
- **\`file_key\` is the path inside the bucket** (e.g. \`reports/2026-05/orders.csv\`), not a Windmill path. Do NOT pass \`u/...\` or \`f/...\` here — those are Windmill paths to scripts/flows/resources, unrelated to objects in the bucket.
- **Scope is the active workspace.** Object storage is configured per-workspace (default storage + optional secondary storages). Switching workspaces switches which bucket the commands target.
- **\`--storage <name>\` targets a secondary storage** configured on the workspace. Omit it to use the workspace's default object storage. Use \`wmill object-storage list\` to discover configured storages.
- **\`preview\` vs \`download\`**: \`preview\` returns a peek (CSV first rows, text content, or a byte slice via \`--bytes-from\`/\`--bytes-length\`) without writing to disk. Use \`download\` when you want the full file on disk.
## Choosing a subcommand
- Look at what's there: \`wmill object-storage files [prefix]\` (alias \`ls\`) — paginated, use \`--marker\` to continue.
- Inspect one file: \`wmill object-storage info <file_key>\` for size/mime/last-modified, \`wmill object-storage preview <file_key>\` for content peek.
- Move data in: \`wmill object-storage upload <local_path> <file_key>\` — set \`--content-type\` if the receiver cares (e.g. \`text/csv\`).
- Move data out: \`wmill object-storage download <file_key> [output_path]\` — \`--stdout\` to pipe.
- Reorganize: \`wmill object-storage move <src> <dest>\` (same storage), \`wmill object-storage delete <file_key>\` (interactive confirm unless \`--yes\`).
`;
export const LANG_ANSIBLE = `# Ansible
Windmill runs Ansible playbooks with \`ansible-playbook\`. A script is a single YAML
document made of two parts separated by a \`---\` line: a Windmill **header** and one or
more standard Ansible **plays**.
## Structure
\`\`\`yaml
---
# Windmill header: configures inventories, file resources, arguments and dependencies
extra_vars:
world_qualifier:
type: string
dependencies:
galaxy:
collections:
- name: community.general
python:
- jmespath
---
# Standard Ansible plays
- name: Echo
hosts: 127.0.0.1
connection: local
tasks:
- name: Print debug message
debug:
msg: "Hello, {{ world_qualifier }} world!"
\`\`\`
## Header
The header is **not** standard Ansible — it is parsed by Windmill to build the script's
inputs and runtime environment. Supported keys:
- \`extra_vars\`: defines the script arguments. Each entry is passed to the playbook via
\`--extra-vars\` and becomes a Jinja variable usable as \`{{ name }}\` in the plays. Give
each argument a \`type\` (\`string\`, \`number\`, \`boolean\`, \`object\`, ...) so Windmill can
generate the input form.
- \`inventory\`: lists inventories. Use \`resource_type: ansible_inventory\` (optionally
pinned with \`resource: u/user/your_resource\`) or \`resource_type: dynamic_inventory\`.
- \`files\`: writes Windmill resources/variables to files before the run, e.g.
\`- resource: u/user/template\` with \`target: ./config.j2\`, or
\`- variable: u/user/ssh_key\` with \`target: ./ssh_key\` and \`mode: '0600'\`.
- \`dependencies\`: \`galaxy\` collections/roles (installed with \`ansible-galaxy\`) and
\`python\` pip packages available to the playbook.
- \`options\`: extra \`ansible-playbook\` flags such as \`- verbosity: vvv\`.
- \`vault_password\`: a Windmill variable path to use as the Ansible Vault password.
## Arguments
Reference header \`extra_vars\` directly as Jinja variables in the plays:
\`\`\`yaml
extra_vars:
name:
type: string
count:
type: number
---
- hosts: localhost
tasks:
- debug:
msg: "{{ name }} x {{ count }}"
\`\`\`
## Environment variables
Windmill contextual variables are available as environment variables and read with the
\`env\` lookup:
\`\`\`yaml
- debug:
msg: "Running in workspace {{ lookup('env', 'WM_WORKSPACE') }}"
\`\`\`
## Output
To return a result, write JSON to a \`result.json\` file in the job directory:
\`\`\`yaml
- hosts: localhost
tasks:
- name: Write result
copy:
content: "{{ { 'ok': true, 'value': 42 } | to_json }}"
dest: result.json
\`\`\`
`;
export const LANG_BASH = `# Bash
## Structure
Do not include \`#!/bin/bash\`. Arguments are obtained as positional parameters:
\`\`\`bash
# Get arguments
var1="$1"
var2="$2"
echo "Processing $var1 and $var2"
# Return JSON by echoing to stdout
echo "{\\"result\\": \\"$var1\\", \\"count\\": $var2}"
\`\`\`
**Important:**
- Do not include shebang (\`#!/bin/bash\`)
- Arguments are always strings
- Access with \`$1\`, \`$2\`, etc.
## Output
The script output is captured as the result. For structured data, output valid JSON:
\`\`\`bash
name="$1"
count="$2"
# Output JSON result
cat << EOF
{
"name": "$name",
"count": $count,
"timestamp": "$(date -Iseconds)"
}
EOF
\`\`\`
## Environment Variables
Environment variables set in Windmill are available:
\`\`\`bash
# Access environment variable
echo "Workspace: $WM_WORKSPACE"
echo "Job ID: $WM_JOB_ID"
\`\`\`
`;
export const LANG_BIGQUERY = `# BigQuery
Arguments use \`@name\` syntax.
Name the parameters by adding comments before the statement:
\`\`\`sql
-- @name1 (string)
-- @name2 (int64) = 0
SELECT * FROM users WHERE name = @name1 AND age > @name2;
\`\`\`
## Receiving an S3Object as a script parameter
Declare the arg with type \`(s3object)\`. Windmill renders an S3 file picker for
it, downloads the file, and binds it as a \`STRING\` JSON parameter — Parquet/CSV
files are decoded server-side into a JSON array of records, JSON/JSONL pass
through. Consume with \`JSON_EXTRACT_ARRAY\` / \`JSON_VALUE\`:
\`\`\`sql
-- @file (s3object)
SELECT
CAST(JSON_VALUE(row, '$.id') AS INT64) AS id,
JSON_VALUE(row, '$.name') AS name
FROM UNNEST(JSON_EXTRACT_ARRAY(@file)) AS row;
\`\`\`
## Streaming query results to S3
Add a \`-- s3\` directive at the top of the script to stream the result set to S3
instead of returning rows. Windmill writes the file and returns its \`S3Object\`
as the script result.
\`\`\`sql
-- s3 prefix=exports/users format=parquet
SELECT id, name FROM users;
\`\`\`
All keys are optional: \`prefix\` (object key prefix), \`storage\` (named storage —
omit to use the workspace default), \`format\` (\`json\` (default), \`parquet\`, or
\`csv\`). Use this for large result sets — rows stream directly to S3 instead of
being buffered, bypassing the 10000-row return cap.
`;
export const LANG_BUN = `# TypeScript (Bun)
Bun runtime with full npm ecosystem and fastest execution. **Bun is the default and preferred TypeScript runtime** — choose it for any TypeScript script unless there is a major reason to use Deno for that specific use-case.
## Structure
Export a single **async** function called \`main\`:
\`\`\`typescript
export async function main(param1: string, param2: number) {
// Your code here
return { result: param1, count: param2 };
}
\`\`\`
Do not call the main function. Libraries are installed automatically.
## Resource Types
On Windmill, credentials and configuration are stored in resources and passed as parameters to main.
Use the \`RT\` namespace for resource types:
\`\`\`typescript
export async function main(stripe: RT.Stripe) {
// stripe contains API key and config from the resource
}
\`\`\`
Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.
## Imports
\`\`\`typescript
import Stripe from "stripe";
import { someFunction } from "some-package";
\`\`\`
## Prefer \`//native\` when the runtime allows it
If a script only needs \`fetch\` and the JavaScript standard library — including when it uses \`windmill-client\` — prefer making it a **native** script: add \`//native\` as the first line and write it with the \`write-script-bunnative\` skill. Native scripts run on a lightweight V8 isolate, start faster, and parallelize heavily. \`windmill-client\` works on the native worker (its calls go over \`fetch\`), so needing the Windmill client is **not** a reason to avoid \`//native\`. Use the regular \`bun\` language only when the code (or a dependency) needs Node/Bun runtime APIs — \`node:*\` modules, the filesystem, child processes, or native addons.
## Windmill Client
Import the windmill client for platform interactions:
\`\`\`typescript
import * as wmill from "windmill-client";
\`\`\`
**Prefer \`windmill-client\` over raw \`fetch\` for anything that talks to Windmill** — reading resources/variables/states, running scripts and flows, S3 object operations, etc. It handles auth, the workspace, and the base URL for you, so you don't hand-roll URLs or tokens. Reserve \`fetch\` for calling *external* HTTP APIs that aren't Windmill.
The full \`windmill-client\` API reference (every exported function and its signature) is included below — consult it for the exact method to use instead of guessing or falling back to \`fetch\`.
## Preprocessor Scripts
For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:
\`\`\`typescript
type Event = {
kind:
| "webhook"
| "http"
| "websocket"
| "kafka"
| "email"
| "nats"
| "postgres"
| "sqs"
| "mqtt"
| "amqp"
| "gcp"
| "azure";
body: any;
headers: Record<string, string>;
query: Record<string, string>;
};
export async function preprocessor(event: Event) {
return {
param1: event.body.field1,
param2: event.query.id,
};
}
\`\`\`
## S3 Object Operations
Windmill provides built-in support for S3-compatible storage operations. The \`wmill.S3Object\` type covers both the \`s3://storage/key\` URI form (\`s3:///key\` for the workspace default storage) and the \`{ s3, storage? }\` record form — always use it instead of redefining your own.
### Receiving an S3Object as a script parameter
\`\`\`typescript
import * as wmill from "windmill-client";
export async function main(file: wmill.S3Object) {
const content = await wmill.loadS3File(file);
// ...
}
\`\`\`
### S3 operations
\`\`\`typescript
import * as wmill from "windmill-client";
// Load file content from S3
const content: Uint8Array = await wmill.loadS3File(s3object);
// Load file as stream
const blob: Blob = await wmill.loadS3FileStream(s3object);
// Write file to S3
const result: wmill.S3Object = await wmill.writeS3File(
s3object, // Target path (or undefined to auto-generate)
fileContent, // string or Blob
s3ResourcePath // Optional: specific S3 resource to use
);
\`\`\`
`;
export const LANG_BUNNATIVE = `# TypeScript (Bun Native)
Native TypeScript execution. Native scripts are Bun scripts that run on the native worker — a lightweight V8 isolate that exposes \`fetch\` and the JavaScript standard library — and can be heavily parallelized. Every script MUST start with \`//native\` on its first line so Windmill routes it to the native worker; without it the exact same script runs on the regular Bun worker. You may import npm packages and other Windmill scripts (e.g. \`./helper.ts\`) — imports are resolved and bundled just like a regular Bun script — as long as everything (your code and its dependencies) relies only on \`fetch\` and the standard library. Libraries that need Node/Bun runtime APIs (filesystem, \`node:*\` modules, child processes, native addons) will not work on the native worker; use the regular \`bun\` language for those.
## Structure
Export a single **async** function called \`main\`:
\`\`\`typescript
//native
export async function main(param1: string, param2: number) {
// Your code here
return { result: param1, count: param2 };
}
\`\`\`
Do not call the main function.
## Resource Types
On Windmill, credentials and configuration are stored in resources and passed as parameters to main.
Use the \`RT\` namespace for resource types:
\`\`\`typescript
//native
export async function main(stripe: RT.Stripe) {
// stripe contains API key and config from the resource
}
\`\`\`
Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.
## Imports
**The constraint is the runtime, not the import list.** You may import npm packages and relative Windmill scripts; they are resolved and bundled exactly like a regular Bun script. But the native worker only provides \`fetch\` and the JavaScript standard library, so any imported code must work using only those. Anything requiring Node/Bun built-ins (\`node:fs\`, \`child_process\`, the \`Bun\` API, native modules) belongs in a regular \`bun\` script instead. Use the globally available \`fetch\` for HTTP:
\`\`\`typescript
//native
export async function main(url: string) {
const response = await fetch(url);
return await response.json();
}
\`\`\`
## Pure computation: \`//no_network\`
A native script that only transforms its inputs can declare \`//no_network\` in its leading comment block (right after \`//native\`). The runtime then refuses every connection the script attempts: \`fetch\` to any host, the Windmill API (so \`windmill-client\` calls fail too), raw sockets and unix sockets, and \`WM_TOKEN\` is not set. It only takes effect on native scripts: without \`//native\` it is ignored. Use it only when the script needs no external data beyond its arguments:
\`\`\`typescript
//native
//no_network
export async function main(items: { price: number; qty: number }[]) {
return items.reduce((sum, i) => sum + i.price * i.qty, 0);
}
\`\`\`
## Windmill Client
\`windmill-client\` works on the native worker (its calls go over \`fetch\`), so use it as the **preferred way to talk to Windmill** — reading resources/variables/states, running scripts and flows, and the S3 helpers below (\`loadS3File\`, \`loadS3FileStream\`, \`writeS3File\`, \`S3Object\`). It handles auth, the workspace, and the base URL for you. Reserve raw \`fetch\` for calling *external* HTTP APIs that aren't Windmill.
The full \`windmill-client\` API reference (every exported function and its signature) is included below — consult it for the exact method instead of hand-rolling a \`fetch\` against the Windmill API.
## Preprocessor Scripts
For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:
\`\`\`typescript
//native
type Event = {
kind:
| "webhook"
| "http"
| "websocket"
| "kafka"
| "email"
| "nats"
| "postgres"
| "sqs"
| "mqtt"
| "amqp"
| "gcp"
| "azure";
body: any;
headers: Record<string, string>;
query: Record<string, string>;
};
export async function preprocessor(event: Event) {
return {
param1: event.body.field1,
param2: event.query.id,
};
}
\`\`\`
## S3 Object Operations
Windmill provides built-in support for S3-compatible storage operations. The \`wmill.S3Object\` type covers both the \`s3://storage/key\` URI form (\`s3:///key\` for the workspace default storage) and the \`{ s3, storage? }\` record form — always use it instead of redefining your own.
### Receiving an S3Object as a script parameter
\`\`\`typescript
//native
import * as wmill from "windmill-client";
export async function main(file: wmill.S3Object) {
const content = await wmill.loadS3File(file);
// ...
}
\`\`\`
### S3 operations
\`\`\`typescript
//native
import * as wmill from "windmill-client";
// Load file content from S3
const content: Uint8Array = await wmill.loadS3File(s3object);
// Load file as stream
const blob: Blob = await wmill.loadS3FileStream(s3object);
// Write file to S3
const result: wmill.S3Object = await wmill.writeS3File(
s3object, // Target path (or undefined to auto-generate)
fileContent, // string or Blob
s3ResourcePath // Optional: specific S3 resource to use
);
\`\`\`
`;
export const LANG_CSHARP = `# C#
The script must contain a public static \`Main\` method inside a class:
\`\`\`csharp
public class Script
{
public static object Main(string name, int count)
{
return new { Name = name, Count = count };
}
}
\`\`\`
**Important:**
- Class name is irrelevant
- Method must be \`public static\`
- Return type can be \`object\` or specific type
## NuGet Packages
Add packages using the \`#r\` directive at the top:
\`\`\`csharp
#r "nuget: Newtonsoft.Json, 13.0.3"
#r "nuget: RestSharp, 110.2.0"
using Newtonsoft.Json;
using RestSharp;
public class Script
{
public static object Main(string url)
{
var client = new RestClient(url);
var request = new RestRequest();
var response = client.Get(request);
return JsonConvert.DeserializeObject(response.Content);
}
}
\`\`\`
`;
export const LANG_DENO = `# TypeScript (Deno)
Deno runtime with npm support via \`npm:\` prefix and native Deno libraries.
**Prefer Bun (\`write-script-bun\`) for TypeScript.** Only use Deno when the script specifically requires the Deno runtime — Deno's standard library or \`deno.land\` URL imports that have no npm equivalent. For all other TypeScript, use Bun instead.
## Structure
Export a single **async** function called \`main\`:
\`\`\`typescript
export async function main(param1: string, param2: number) {
// Your code here
return { result: param1, count: param2 };
}
\`\`\`
Do not call the main function. Libraries are installed automatically.
## Resource Types
On Windmill, credentials and configuration are stored in resources and passed as parameters to main.
Use the \`RT\` namespace for resource types:
\`\`\`typescript
export async function main(stripe: RT.Stripe) {
// stripe contains API key and config from the resource
}
\`\`\`
Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.
## Imports
\`\`\`typescript
// npm packages use npm: prefix
import Stripe from "npm:stripe";
import { someFunction } from "npm:some-package";
// Deno standard library
import { serve } from "https://deno.land/std/http/server.ts";
\`\`\`
## Windmill Client
Import the windmill client for platform interactions:
\`\`\`typescript
import * as wmill from "windmill-client";
\`\`\`
**Prefer \`windmill-client\` over raw \`fetch\` for anything that talks to Windmill** — reading resources/variables/states, running scripts and flows, S3 object operations, etc. It handles auth, the workspace, and the base URL for you. Reserve \`fetch\` for calling *external* HTTP APIs that aren't Windmill.
The full \`windmill-client\` API reference (every exported function and its signature) is included below — consult it for the exact method instead of guessing or falling back to \`fetch\`.
## Preprocessor Scripts
For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:
\`\`\`typescript
type Event = {
kind:
| "webhook"
| "http"
| "websocket"
| "kafka"
| "email"
| "nats"
| "postgres"
| "sqs"
| "mqtt"
| "amqp"
| "gcp"
| "azure";
body: any;
headers: Record<string, string>;
query: Record<string, string>;
};
export async function preprocessor(event: Event) {
return {
param1: event.body.field1,
param2: event.query.id,
};
}
\`\`\`
## S3 Object Operations
Windmill provides built-in support for S3-compatible storage operations. The \`wmill.S3Object\` type covers both the \`s3://storage/key\` URI form (\`s3:///key\` for the workspace default storage) and the \`{ s3, storage? }\` record form — always use it instead of redefining your own.
### Receiving an S3Object as a script parameter
\`\`\`typescript
import * as wmill from "windmill-client";
export async function main(file: wmill.S3Object) {
const content = await wmill.loadS3File(file);
// ...
}
\`\`\`
### S3 operations
\`\`\`typescript
import * as wmill from "windmill-client";
// Load file content from S3
const content: Uint8Array = await wmill.loadS3File(s3object);
// Load file as stream
const blob: Blob = await wmill.loadS3FileStream(s3object);
// Write file to S3
const result: wmill.S3Object = await wmill.writeS3File(
s3object, // Target path (or undefined to auto-generate)
fileContent, // string or Blob
s3ResourcePath // Optional: specific S3 resource to use
);
\`\`\`
`;
export const LANG_DUCKDB = `# DuckDB
Arguments are defined with comments and used with \`$name\` syntax:
\`\`\`sql
-- $name (text) = default
-- $age (integer)
SELECT * FROM users WHERE name = $name AND age > $age;
\`\`\`
## Ducklake Integration
Attach Ducklake for data lake operations:
\`\`\`sql
-- Main ducklake
ATTACH 'ducklake' AS dl;
-- Named ducklake
ATTACH 'ducklake://my_lake' AS dl;
-- Then query
SELECT * FROM dl.schema.table;
\`\`\`
## External Database Connections
Connect to external databases using resources:
\`\`\`sql
ATTACH '$res:path/to/resource' AS db (TYPE postgres);
SELECT * FROM db.schema.table;
\`\`\`
## S3 File Operations
Read files from S3 storage:
\`\`\`sql
-- Default storage
SELECT * FROM read_csv('s3:///path/to/file.csv');
-- Named storage
SELECT * FROM read_csv('s3://storage_name/path/to/file.csv');
-- Parquet files
SELECT * FROM read_parquet('s3:///path/to/file.parquet');
-- JSON files
SELECT * FROM read_json('s3:///path/to/file.json');
\`\`\`
### Receiving an S3Object as a script parameter
Declare the arg with type \`(s3object)\`. Windmill renders an S3 file picker for it
and binds the arg as the bare \`s3://storage/key\` URI, which DuckDB's reader
functions consume directly:
\`\`\`sql
-- $file (s3object)
SELECT * FROM read_parquet($file);
\`\`\`
Works with any DuckDB reader: \`read_csv($file)\`, \`read_json($file)\`, etc.
### Writing query results to S3
DuckDB writes to S3 natively via \`COPY ... TO\`:
\`\`\`sql
COPY (SELECT * FROM users) TO 's3:///exports/users.parquet' (FORMAT PARQUET);
\`\`\`
Use this instead of the \`-- s3\` streaming directive supported by the other SQL
dialects — that directive is not available in DuckDB.
`;
export const LANG_GO = `# Go
## Structure
The file package must be \`inner\` and export a function called \`main\`:
\`\`\`go
package inner
func main(param1 string, param2 int) (map[string]interface{}, error) {
return map[string]interface{}{
"result": param1,
"count": param2,
}, nil
}
\`\`\`
**Important:**
- Package must be \`inner\`
- Return type must be \`({return_type}, error)\`
- Function name is \`main\` (lowercase)
## Return Types
The return type can be any Go type that can be serialized to JSON:
\`\`\`go
package inner
type Result struct {
Name string \`json:"name"\`
Count int \`json:"count"\`
}
func main(name string, count int) (Result, error) {
return Result{
Name: name,
Count: count,
}, nil
}
\`\`\`
## Error Handling
Return errors as the second return value:
\`\`\`go
package inner
import "errors"
func main(value int) (string, error) {
if value < 0 {
return "", errors.New("value must be positive")
}
return "success", nil
}
\`\`\`
`;
export const LANG_GRAPHQL = `# GraphQL
## Structure
Write GraphQL queries or mutations. Arguments can be added as query parameters:
\`\`\`graphql
query GetUser($id: ID!) {
user(id: $id) {
id
name
email
}
}
\`\`\`
## Variables
Variables are passed as script arguments and automatically bound to the query:
\`\`\`graphql
query SearchProducts($query: String!, $limit: Int = 10) {
products(search: $query, first: $limit) {
edges {
node {
id
name
price
}
}
}
}
\`\`\`
## Mutations
\`\`\`graphql
mutation CreateUser($input: CreateUserInput!) {
createUser(input: $input) {
id
name
createdAt
}
}
\`\`\`
`;
export const LANG_JAVA = `# Java
The script must contain a Main public class with a \`public static main()\` method:
\`\`\`java
public class Main {
public static Object main(String name, int count) {
java.util.Map<String, Object> result = new java.util.HashMap<>();
result.put("name", name);
result.put("count", count);
return result;
}
}
\`\`\`
**Important:**
- Class must be named \`Main\`
- Method must be \`public static Object main(...)\`
- Return type is \`Object\` or \`void\`
## Maven Dependencies
Add dependencies using comments at the top:
\`\`\`java
//requirements:
//com.google.code.gson:gson:2.10.1
//org.apache.httpcomponents:httpclient:4.5.14
import com.google.gson.Gson;
public class Main {
public static Object main(String input) {
Gson gson = new Gson();
return gson.fromJson(input, Object.class);
}
}
\`\`\`
`;
export const LANG_MSSQL = `# Microsoft SQL Server (MSSQL)
Arguments use \`@P1\`, \`@P2\`, etc.
Name the parameters by adding comments before the statement:
\`\`\`sql
-- @P1 name1 (varchar)
-- @P2 name2 (int) = 0
SELECT * FROM users WHERE name = @P1 AND age > @P2;
\`\`\`
## Receiving an S3Object as a script parameter
Declare the arg with type \`(s3object)\`. Windmill renders an S3 file picker for
it, downloads the file, and binds it as \`nvarchar(max)\` JSON text — Parquet/CSV
files are decoded server-side into a JSON array of records, JSON/JSONL pass
through. Consume with \`OPENJSON\`:
\`\`\`sql
-- @P1 file (s3object)
SELECT id, name
FROM OPENJSON(@P1)
WITH (id INT, name NVARCHAR(200));
\`\`\`
## Streaming query results to S3
Add a \`-- s3\` directive at the top of the script to stream the result set to S3
instead of returning rows. Windmill writes the file and returns its \`S3Object\`
as the script result.
\`\`\`sql
-- s3 prefix=exports/users format=parquet
SELECT id, name FROM users;
\`\`\`
All keys are optional: \`prefix\` (object key prefix), \`storage\` (named storage —
omit to use the workspace default), \`format\` (\`json\` (default), \`parquet\`, or
\`csv\`). Use this for large result sets — rows stream directly to S3 instead of
being buffered as the script return value.
`;
export const LANG_MYSQL = `# MySQL
Arguments use \`?\` placeholders.
Name the parameters by adding comments before the statement:
\`\`\`sql
-- ? name1 (text)
-- ? name2 (int) = 0
SELECT * FROM users WHERE name = ? AND age > ?;
\`\`\`
## Receiving an S3Object as a script parameter
Declare the arg with type \`(s3object)\`. Windmill renders an S3 file picker for
it, downloads the file, and binds it as JSON text — Parquet/CSV files are
decoded server-side into a JSON array of records, JSON/JSONL pass through.
Consume with \`JSON_TABLE\`:
\`\`\`sql
-- ? file (s3object)
SELECT id, name
FROM JSON_TABLE(?, '$[*]'
COLUMNS (id INT PATH '$.id', name VARCHAR(200) PATH '$.name')
) AS r;
\`\`\`
## Streaming query results to S3
Add a \`-- s3\` directive at the top of the script to stream the result set to S3
instead of returning rows. Windmill writes the file and returns its \`S3Object\`
as the script result.
\`\`\`sql
-- s3 prefix=exports/users format=parquet
SELECT id, name FROM users;
\`\`\`
All keys are optional: \`prefix\` (object key prefix), \`storage\` (named storage —
omit to use the workspace default), \`format\` (\`json\` (default), \`parquet\`, or
\`csv\`). Use this for large result sets — rows stream directly to S3 instead of
being buffered as the script return value.
`;
export const LANG_PHP = `# PHP
## Structure
The script must start with \`<?php\` and contain at least one function called \`main\`:
\`\`\`php
<?php
function main(string $param1, int $param2) {
return ["result" => $param1, "count" => $param2];
}
\`\`\`
## Resource Types
On Windmill, credentials and configuration are stored in resources and passed as parameters to main.
You need to **redefine** the type of the resources that are needed before the main function. Always check if the class already exists using \`class_exists\`:
\`\`\`php
<?php
if (!class_exists('Postgresql')) {
class Postgresql {
public string $host;
public int $port;
public string $user;
public string $password;
public string $dbname;
}
}
function main(Postgresql $db) {
// $db contains the database connection details
}
\`\`\`
The resource type name has to be exactly as specified.
## Library Dependencies
Specify library dependencies as comments before the main function:
\`\`\`php
<?php
// require:
// guzzlehttp/guzzle
// stripe/stripe-php@^10.0
function main() {
// Libraries are available
}
\`\`\`
One dependency per line. No need to require autoload, it is already done.
`;
export const LANG_POSTGRESQL = `# PostgreSQL
Arguments are obtained directly in the statement with \`$1::{type}\`, \`$2::{type}\`, etc.
Name the parameters by adding comments at the beginning of the script (without specifying the type):
\`\`\`sql
-- $1 name1
-- $2 name2 = default_value
SELECT * FROM users WHERE name = $1::TEXT AND age > $2::INT;
\`\`\`
## Receiving an S3Object as a script parameter
Declare the arg with type \`(s3object)\`. Windmill renders an S3 file picker for
it, downloads the file, and binds it as a \`jsonb\` parameter — Parquet/CSV files
are decoded server-side into a JSON array of records, JSON/JSONL pass through.
Consume with \`jsonb_to_recordset\` (or any \`jsonb\` API):
\`\`\`sql
-- $1 file (s3object)
SELECT *
FROM jsonb_to_recordset($1::jsonb) AS r(id INT, name TEXT);
\`\`\`
## Streaming query results to S3
Add a \`-- s3\` directive at the top of the script to stream the result set to S3
instead of returning rows. Windmill writes the file and returns its \`S3Object\`
as the script result.
\`\`\`sql
-- s3 prefix=exports/users format=parquet
SELECT id, name FROM users;
\`\`\`
All keys are optional: \`prefix\` (object key prefix), \`storage\` (named storage —
omit to use the workspace default), \`format\` (\`json\` (default), \`parquet\`, or
\`csv\`). Use this for large result sets — rows stream directly to S3 instead of
being buffered as the script return value.
`;
export const LANG_POWERSHELL = `# PowerShell
## Structure
Arguments are obtained by calling the \`param\` function on the first line:
\`\`\`powershell
param($Name, $Count = 0, [int]$Age)
# Your code here
Write-Output "Processing $Name, count: $Count, age: $Age"
# Return object
@{
name = $Name
count = $Count
age = $Age
}
\`\`\`
## Parameter Types
You can specify types for parameters:
\`\`\`powershell
param(
[string]$Name,
[int]$Count = 0,
[bool]$Enabled = $true,
[array]$Items
)
@{
name = $Name
count = $Count
enabled = $Enabled
items = $Items
}
\`\`\`
## Return Values
Return values by outputting them at the end of the script:
\`\`\`powershell
param($Input)
$result = @{
processed = $true
data = $Input
timestamp = Get-Date -Format "o"
}
$result
\`\`\`
`;
export const LANG_PYTHON3 = `# Python
## Structure
The script must contain at least one function called \`main\`:
\`\`\`python
def main(param1: str, param2: int):
# Your code here
return {"result": param1, "count": param2}
\`\`\`
Do not call the main function. Libraries are installed automatically.
## Resource Types
On Windmill, credentials and configuration are stored in resources and passed as parameters to main.
You need to **redefine** the type of the resources that are needed before the main function as TypedDict:
\`\`\`python
from typing import TypedDict
class postgresql(TypedDict):
host: str
port: int
user: str
password: str
dbname: str
def main(db: postgresql):
# db contains the database connection details
pass
\`\`\`
**Important rules:**
- The resource type name must be **IN LOWERCASE**
- Only include resource types if they are actually needed
- If an import conflicts with a resource type name, **rename the imported object, not the type name**
- Make sure to import TypedDict from typing **if you're using it**
## Imports
Libraries are installed automatically. Do not show installation instructions.
\`\`\`python
import requests
import pandas as pd
from datetime import datetime
\`\`\`
If an import name conflicts with a resource type:
\`\`\`python
# Wrong - don't rename the type
import stripe as stripe_lib
class stripe_type(TypedDict): ...
# Correct - rename the import
import stripe as stripe_sdk
class stripe(TypedDict):
api_key: str
\`\`\`
## Windmill Client
Import the windmill client for platform interactions:
\`\`\`python
import wmill
\`\`\`
See the SDK documentation for available methods.
## Preprocessor Scripts
For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:
\`\`\`python
from typing import TypedDict, Literal, Any
class Event(TypedDict):
kind: Literal["webhook", "http", "websocket", "kafka", "email", "nats", "postgres", "sqs", "mqtt", "amqp", "gcp", "azure"]
body: Any
headers: dict[str, str]
query: dict[str, str]
def preprocessor(event: Event):
# Transform the event into flow input parameters
return {
"param1": event["body"]["field1"],
"param2": event["query"]["id"]
}
\`\`\`
## S3 Object Operations
Windmill provides built-in support for S3-compatible storage operations.
### Receiving an S3Object as a script parameter
To accept a file from S3 as input to a script, type the parameter with \`S3Object\` (imported from \`wmill\`):
\`\`\`python
import wmill
from wmill import S3Object
def main(file: S3Object):
content = wmill.load_s3_file(file)
# ...
\`\`\`
### S3 operations
\`\`\`python
import wmill
# Load file content from S3
content: bytes = wmill.load_s3_file(s3object)
# Load file as stream reader
reader: BufferedReader = wmill.load_s3_file_reader(s3object)
# Write file to S3
result: S3Object = wmill.write_s3_file(
s3object, # Target path (or None to auto-generate)
file_content, # bytes or BufferedReader
s3_resource_path, # Optional: specific S3 resource
content_type, # Optional: MIME type
content_disposition # Optional: Content-Disposition header
)
\`\`\`
`;
export const LANG_RLANG = `# R
## Structure
Define a \`main\` function using \`<-\` or \`=\` assignment. Parameters become the script inputs:
\`\`\`r
library(dplyr)
library(jsonlite)
main <- function(x, name = "default", flag = TRUE) {
df <- tibble(x = x, name = name)
result <- df %>% mutate(greeting = paste("Hello", name))
return(toJSON(result, auto_unbox = TRUE))
}
\`\`\`
**Important:**
- The \`main\` function is required
- Use \`library()\` to load packages — they are resolved and installed automatically
- \`jsonlite\` is always available (used internally for argument parsing)
- Return values must be JSON-serializable
## Parameters
R types map to Windmill types:
- \`numeric\` → float/int
- \`character\` → string
- \`logical\` → bool (use \`TRUE\`/\`FALSE\`)
- \`list\` → object/dict
- \`NULL\` → null
Default values are inferred from the function signature:
\`\`\`r
main <- function(
name, # required string
count = 10, # optional int, default 10
verbose = FALSE # optional bool, default FALSE
) {
# ...
}
\`\`\`
## Resources and Variables
Use the built-in Windmill helpers (no import needed):
\`\`\`r
main <- function() {
# Get a variable
api_key <- get_variable("f/my_folder/api_key")
# Get a resource (returns a list)
db <- get_resource("f/my_folder/postgres_config")
host <- db$host
port <- db$port
return(list(host = host, port = port))
}
\`\`\`
## Output
Return any JSON-serializable value from \`main\`. The return value becomes the step result:
\`\`\`r
main <- function(x) {
# Return a scalar
return(x + 1)
# Or a list (becomes JSON object)
return(list(result = x + 1, status = "ok"))
}
\`\`\`
## Annotations
Control execution behavior with comment annotations:
\`\`\`r
#renv_verbose = true # Show verbose renv output during resolution
#renv_install_verbose = true # Show verbose output during package installation
#sandbox = true # Run in nsjail sandbox (requires nsjail)
\`\`\`
`;
export const LANG_RUST = `# Rust
## Structure
The script must contain a function called \`main\` with proper return type:
\`\`\`rust
use anyhow::anyhow;
use serde::Serialize;
#[derive(Serialize, Debug)]
struct ReturnType {
result: String,
count: i32,
}
fn main(param1: String, param2: i32) -> anyhow::Result<ReturnType> {
Ok(ReturnType {
result: param1,
count: param2,
})
}
\`\`\`
**Important:**
- Arguments should be owned types
- Return type must be serializable (\`#[derive(Serialize)]\`)
- Return type is \`anyhow::Result<T>\`
## Dependencies
Packages must be specified with a partial cargo.toml at the beginning of the script:
\`\`\`rust
//! \`\`\`cargo
//! [dependencies]
//! anyhow = "1.0.86"
//! reqwest = { version = "0.11", features = ["json"] }
//! tokio = { version = "1", features = ["full"] }
//! \`\`\`
use anyhow::anyhow;
// ... rest of the code
\`\`\`
**Note:** Serde is already included, no need to add it again.
## Async Functions
If you need to handle async functions (e.g., using tokio), keep the main function sync and create the runtime inside:
\`\`\`rust
//! \`\`\`cargo
//! [dependencies]
//! anyhow = "1.0.86"
//! tokio = { version = "1", features = ["full"] }
//! reqwest = { version = "0.11", features = ["json"] }
//! \`\`\`
use anyhow::anyhow;
use serde::Serialize;
#[derive(Serialize, Debug)]
struct Response {
data: String,
}
fn main(url: String) -> anyhow::Result<Response> {
let rt = tokio::runtime::Runtime::new()?;
rt.block_on(async {
let resp = reqwest::get(&url).await?.text().await?;
Ok(Response { data: resp })
})
}
\`\`\`
`;
export const LANG_SNOWFLAKE = `# Snowflake
Arguments use \`?\` placeholders.
Name the parameters by adding comments before the statement:
\`\`\`sql
-- ? name1 (text)
-- ? name2 (number) = 0
SELECT * FROM users WHERE name = ? AND age > ?;
\`\`\`
## Receiving an S3Object as a script parameter
Declare the arg with type \`(s3object)\`. Windmill renders an S3 file picker for
it, downloads the file, and binds it as JSON text — Parquet/CSV files are
decoded server-side into a JSON array of records, JSON/JSONL pass through.
Wrap the bind with \`PARSE_JSON(?)\` and walk it with \`LATERAL FLATTEN\`:
\`\`\`sql
-- ? file (s3object)
SELECT
v.value:id::NUMBER AS id,
v.value:name::STRING AS name
FROM LATERAL FLATTEN(input => PARSE_JSON(?)) v;
\`\`\`
## Streaming query results to S3
Add a \`-- s3\` directive at the top of the script to stream the result set to S3
instead of returning rows. Windmill writes the file and returns its \`S3Object\`
as the script result.
\`\`\`sql
-- s3 prefix=exports/users format=parquet
SELECT id, name FROM users;
\`\`\`
All keys are optional: \`prefix\` (object key prefix), \`storage\` (named storage —
omit to use the workspace default), \`format\` (\`json\` (default), \`parquet\`, or
\`csv\`). Use this for large result sets — rows stream directly to S3 instead of
being buffered, bypassing the 10000-row return cap.
`;