Codex quota in the menu bar came only from frozen local session logs, so it
showed stale data ("older session") that no refresh could update. Fetch it live
from the same source the dashboard uses, under the existing Claude-style safety
controls (10-min TTL, in-flight coalescing, 429 backoff, circuit breaker,
serve-stale), falling back to local logs when offline or rate-limited. A success
with no usable 5h/weekly window keeps the local reading rather than caching a
contentless row. The footer refresh and a new inline button on the Codex card
force a live pull past the open debounce, and a forced /summary re-pulls native
rows while serving the last-known cached rows if the live pull overruns its
budget, so the Claude/Codex cards never blank mid-refresh.
The spend strip gains a Today / 7d / 30d selector (default 7d), a taller chart,
and bottom time-axis labels (local hours for today, weekday for 7d, dates for
30d). The analytics endpoint now exposes a 24-bucket hourly series for today,
converted from the pipeline's UTC hour keys to the user's local clock so the
intra-day chart matches the dashboard.
Replace the prose window lines with an aligned per-window bar list (5h /
weekly / Opus / Sonnet), colored by headroom, with the binding window
highlighted and a compact reset chip. Humanize durations beyond a day
(Nd Nh instead of raw hours) and only show the burn-rate pace clause when a
window is projected to exhaust before it resets, so a meaningless 'resets in
44h' / '~110h left' projection no longer appears.
Lead the dropdown with subscriptions: a dedicated card shows the binding
window as the hero (gauge, remaining %, reset countdown, and a burn-rate
'left at this pace' line), a secondary window, and the Opus/Sonnet split for
Max, with a stale marker for older Codex data. Demote spend/usage to a compact
strip and surface cross-tool headroom. Add pure burn-rate / time-to-exhaustion
and binding-window math in Core. Kill the menu scroll indicator for real
(NSScrollView hider) so content stays aligned. Spend-cap alerts default off
(pay-per-use, opt-in).
Tam Nhu Tran