ui-conversation now owns only the conversation.chat.turnTail hole; the row,
its derivation, and its copy live in @deepseek-ai/dsh-client-ui-deliverables,
composed in or out by one cordis.yml line.
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.
The CJK-strong and inline-code-link goldens predate the flanking-space
footer separators and drifted on the master merge; re-record them with
the accessible space, matching every other golden.
All agent/* and agent-loop/config-start-failed events take one payload
object carrying the agent subject; waterfall/serial payloads require a
signal and keep next as the final argument. PreStepContext and
RequestFailureContext are unfolded into payloads and retired.
goal/changed follows the same shape so agentEvents keeps its listener
error containment. ReactLoopAgent builds its scope carrier once in the
constructor. Regenerates scope resolvers, tool-cordis api catalog, and
docs catalogs; updates all affected listeners, tests, and the
core-data-structures docs (en + zh).
The token-meter projections now subtract compact/summary's
shadowedTokenCount verbatim, so the seeded-history fixture's hand-picked
10k count drove the message figure negative and killed the projections
baseline. Realize the seed first (realizeSeedFixture, idempotent, shared
with seedSession) and derive the count from the shadowed rows through
the composed meter, reproducing the previous per-node fold bit for bit —
the recorded aria goldens pass unchanged.
The TTFT and tok/s readings divide by measured wall time, so they are not
reproducible: the same replayed scenario yielded 69 and 70 tok/s on
consecutive local runs, and a 3 ms replayed stream reads 26333 tok/s. Baking
those into committed goldens made the Web lane flaky by construction, and the
goldens for the readings themselves were never refreshed.
Three fixes, then a refresh:
The footer's decorative dots are `aria-hidden`, so the readings concatenated
into one accessible string — `Ran for 13sTTFT 0.2s12 tok/s`. That is a real
defect on its own (a reader hears one run-on instead of three facts) and it
also denied `{{duration}}` the word boundary it matches on, so even the
previously-stable `Ran for` duration started leaking raw. The separators now
carry flanking spaces.
`normalizeAria` gains `{{throughput}}` beside `{{duration}}`, and its duration
alternation accepts the stats line's compact `2m42s` as well as the
message-chrome template's `2m 42s` — the compact form had no pattern at all,
which is why `LLM 382m39s` survived the first refresh.
Refreshed 17 goldens. They also record that the stats line's `LLM` group now
renders at all: it folds assistant `timing`, which the live transcript adapter
only began attaching in this branch, so the group was previously dead in Chat.
Verified by running the lane in replay three times after the refresh: 41/41
files green each time, goldens untouched. Before this change two consecutive
runs disagreed on both the values and the failure count.
ZiyaZhang
Turtle
_Kerman
imccyu
imccyu
Yichen Jiang
Ziya
creatixchu
Huanqi Cao
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