The node, flow, widget and dashboard panels explained themselves in
paragraphs under every control. They now carry a caption and an info
tooltip, so a panel reads as a list of settings.
InfoTip, PanelSection and FieldLabel live beside PANEL_SECTION in
SidePanel.tsx, which the panels already share. InfoTip holds its own open
state because a Radix tooltip ignores a touch pointer, and below md the
whole panel is a full-screen sheet — hover-only help would leave a phone
with the caption and nothing else.
Dashboard/panels.tsx drops from 30 helper paragraphs to 5; the ones left
are empty states and status, not explanation. Em-dashes are out of the
user-facing strings, except where one separates the halves of a select
item.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015YrQnKV3bnQd4K342y8tKj
A cache hit still replays no emissions — those values were the story of an
execution that is not happening — but the run they were recorded in is now
written on the row (`run_node.cached_from`), and the metrics endpoints read the
series back from there. So a reused run answers `run.metrics("train.loss")`
with the same points the run that trained did, rather than looking like a run
that produced no numbers at all. Pointed at rather than copied: a sweep of 500
reusing one frozen node would otherwise duplicate its curve 500 times.
That needed the cross-flow restore fixed first. The cache key has no flow in
it while the stored outputs are named for the flow that produced them, so
`quick.prepare` getting a hit from `train` wrote `train.dataset` into `quick`'s
state and the next node was called without its argument. One rule now covers
both halves: `requalify` reads a name owned by one flow as the same name in
another, applied to the restored outputs, to the node id behind the pointer,
and to the series names on the way out. Reuse across flows is kept.
Also: `@run:<id>.<output>` and a bare `sha256:` digest resolve on every input,
not only artifacts. Chaining a run's json config into the next one from a shell
meant pasting the whole object inline, and the CLI could not even send the
spelling — `_coerce` died in `json.loads` before the engine saw it. Both
spellings are reserved on every input now, `str` included, and `_from_run`
returns whatever the run's result holds rather than only a reference.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dp9L6gakMVro1K2C5zdtBE
Four things the python SDK turned up, each fixed where every client sees it.
A key no port declares is now an error rather than a silent drop, on the
return, the yield and the emit alike — the contract the docs already stated.
The SDK reads literal yields at sync time, so a typo fails before anything
runs, and an emission of one fails the call rather than being logged where
nobody looks.
NaN and infinity are refused at the port. JSON cannot spell either, so one
that travelled came back as a 500, a socket frame that stopped the canvas, or
a metric batch the database dropped whole.
An artifact input takes `@run:<id>.<output>` or a bare digest, resolved on the
engine — so the CLI, the run dialog and a python caller mean the same thing,
and a sweep can pass one at all.
Node timeouts are off by default. The clock measured silence, which a training
node is full of, and remote workers had already stopped enforcing it — their
heartbeat reset it. Now a heartbeat proves the agent rather than the node,
ninety seconds of nothing fails the call either way, and the engine touches
work it is still running so a long node is not redelivered at sixty seconds.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019V5bsYGNxcgPs4xXmTPx69
A node's error cleared the moment it ran again, so a failure that genuinely
fired an alert could leave no trace on the canvas by the time anyone looked.
The engine records it now — on the node's status, so it survives a reload and
every client agrees — and reading the traceback is what clears it. The seam is
the event bus, which is where every failing path already meets: a queued live
run, an explicit run, a preview, and a single triggered node all publish
`node_error`, while the controller's own observer would have seen only one of
them.
That was half the confusion. The other half: clicking a failed neuron on Home
often landed on a flow where everything looked fine. Nodes merge into one
neuron by instance key — every InfluxDB node pointing at the same bucket is one
neuron — and the click went to whichever flow contributed a member first, not
the one that failed. It now goes to the failing member and selects it, and the
canvas marks a failing node rather than leaving it to the dot alone.
The inject node emitted one payload to every port it declared, whatever their
types, so an inject on a bool port carrying the text "true" raised at publish
time. Each port gets its own field now, typed and parsed by that port's dtype,
and remembers what it last sent. A port that is renamed carries its value with
it; one that is removed takes its value with it. An inject written before this
keeps emitting exactly what it did.
The derived-cron chip also appeared on the delay node, where `interval` is a
rate limit and a schedule derived from it means nothing.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Uq8mtNb97A7praJLyeEYgs
A sweep against the code. Removed as resolved: the worker pool's `_running`
is keyed by (run, node) now, `WorkItem.kind` documents only the three kinds
that exist, `routeTree.gen.ts` matches its generator, and the host's Node is
well past the version the Vite 7 note was about. Removed as disproved: the
collector's redelivery branch is reachable — Redis reclaims an entry this
process is still running.
Corrected: the demo places six of the fifteen node types, not thirteen — the
count was the widget types. Narrowed to what is left: the header/config sync
now covers settings but only on an untouched scaffold and only one way; a
declared flow input is what the dashboard-input node asked for; the flow
boundary already refits the canvas where node ports do not.
The Playwright hazard is not resolved — both names still resolve to
production — and the fix as written is incomplete: `VITE_API_URL` has to be
overridden to `http://` or every setup call fails the TLS handshake.
Also: one `asText` instead of two, and the queue docstring no longer refers
to a node item that never existed.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NUb8YpL2s3gmN9WTACTt4q
A flow's inputs are the messages it takes from outside — a dashboard control,
a run, the API — and its outputs are what a batch run reports. Both existed in
the document and in the engine, and neither had any UI: the values looked
hard-coded on the canvas and the Run button always used the declared defaults.
The canvas now draws each as a labelled endpoint, the way it already draws a
dashboard tile or another flow, skipping an input something else already
accounts for. The flow panel edits them — mode, name, type, starting value,
and for a live flow the value it currently holds with a way to put a new one
in. Pressing Run on a batch flow asks for its parameters first.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NUb8YpL2s3gmN9WTACTt4q
stroblmeandClaude Opus 5