The branch control on user and consumed-steering bubbles could enable
only when a completed turn ended with no node after the message at all,
so readers saw a permanently unavailable control whose tooltip promised
a state it could not reach. An enabled one would mislead anyway: a fork
at a message seq cuts at the containing turn/end and takes the answer
along, the opposite of the branch-to-re-ask reading a control on one's
own bubble suggests.
MessageItem loses its fork props, PendingSteeringBubble loses the
showBranch special case, and messageBranchSeqs narrows to
assistantBranchSeqs: only a completed turn's transcript tail that is
the turn's own content-text assistant may fork. A steered turn keeps
its fork point under the settled answer, because fork is a log-prefix
cut and the steer is model-visible history the child inherits.
Web aria goldens drop the user-bubble disabled-branch row and its
hidden explanation text; the nested-subagent golden also loses the one
enabled user-tail fork handle, a loss the decision note accepts.
`assistantActionsSeqs` picked the last content-text assistant of each turn
from the finalized transcript alone. That quantity is stable only once the
turn closes: while a turn is still producing steps, the narration written
before a tool call is the last content assistant so far, so copy, branch,
and the clock appeared under an intermediate sentence for as long as the
tool ran and then moved down to the next step's text.
Pass `ConversationSnapshot.turnEnds` into the derivation and grant the row
only inside a turn that has a durable `turn/end`. This is the same
completion fact the branch control and the `Ran for` label already read, so
the three parts of one row now agree; mid-turn narration owns nothing, and
the seat appears once under the settled answer.
`hasContentText` moves to chat-flow.ts so the ownership gate and
AssistantMarkdown's mount gate cannot drift apart.
apps/web/tests/turn-tail-actions.e2e.ts pins both states through the
assembled application: a hang sidecar on the second model call parks a turn
whose first step narrated before calling bash, and the two goldens hold the
parked flow and the flow after stopping.
Master stabilized two of the three hand-built markdown fixtures by spacing
their event times, so the stats line's LLM segment stops depending on how fast
the replay ran. `markdown-images` was left on the old shape and kept failing
for exactly that reason — a different test each run, always the same one-line
difference.
Pin it the same way and record the segment its golden now always shows. This
supersedes the normalizer that dropped those segments outright, reverted here:
pinning the fixture keeps a real part of the page in the goldens instead of
hiding it from every one of them, and master's two goldens already record it.
`StatsLine` renders its LLM, tool-call, and throughput segments only while the
matching measurement exceeds zero, and all three are wall clock taken during
the replay. A machine that finishes a step inside one millisecond drops the
segment a slower one keeps, so a golden recorded what the recording machine's
speed was rather than what the page shows. Goldens across this suite already
disagreed about the LLM segment for that reason, and CI failed on whichever
test landed on a slow enough runner — a different test each run, always the
same one-line difference.
Tokenizing the values was never enough, because presence is what moves. The
normalizer now drops those segments outright, each taking one adjacent
separator so nothing is left holding a dangling separator or a doubled space,
and the recorded goldens are normalized the same way. `TTFT avg` stays: it
gates on a step count the fixture determines.
The Models page could name a provider's key and little else. Adding an
OpenAI-compatible gateway meant opening $DSH_HOME/settings.yaml and
knowing the profile shape; correcting a stale context window meant the
same. This layer puts both on the page: a card that declares a route
pi-ai does not ship — id, endpoint, protocol, key, models — and a model
list on the pi-ai editor that can ask the provider what it serves and
adopt the answer.
It follows the DeepSeek catalog editor that landed in #1050 rather than
inventing a second look for the same job. Both editors now share the
section shell and heading, the danger-tinted delete, the add-model
button, the empty state, the per-row validator that names a bad row by
its position, and one K/M capacity vocabulary — 256K and 1M are read and
spelled back, while settings.yaml still stores plain token counts. The
row type is structurally open like that editor's, so a profile field
this card does not edit survives an edit here.
Three of that editor's decisions replaced weaker ones this branch had
made. Inheritance now reads the composition base rather than the
effective value, which would echo an override back the moment a reset
dropped it. Validation names the offending row instead of stating a
blanket problem. And emptying the list is no longer conflated with
handing the catalog back to the adapter — those are separate acts, with
separate affordances.
The create write carries the revision the card opened at, so a route
another tab declared meanwhile is a conflict rather than a silent
overwrite of its profile.
ea2fc29530 gave the assistant footer separators flanking spaces, so the
accessible text reads `{{clock}} Ran for {{duration}}`. The CJK-strong and
inline-code-link goldens were recorded on a base that predates it and merged
without a re-record; master's push runs skip the snapshot lane, so nothing
caught the drift until a branch merged both. Every other golden already
carries the space.
