Bootstrap an enabled system-default routing group from the legacy
scheduler config keys on startup, resolve the default ordering config
from that group before falling back to the legacy keys, and stop merging
keep_priority_on_conversion with the legacy flag when a policy is
resolved. Thread the policy-derived ordering config into candidate
preselection so it no longer reads system config independently.
Add per-API-format key priority overrides so a key serving several
formats keeps independent ordering, matching the legacy
global_priority_by_format semantics. Expose keep_priority_on_conversion
in the routing profile editor and read the effective policy in the
model routing preview, monitoring metrics and provider page badge.
Keep model-scoped Spark windows out of account state, preserve authoritative WHAM exhaustion flags, and repair historical cross-family quota generations without weakening stale-response guards.
`parse_codex_websocket_usage_limit_error` backfills `primary_reset_at` and
`primary_reset_after_seconds` from the error body whenever the embedded headers
did not supply them. Now that a named per-model limit no longer claims the
unprefixed window headers, that absence is exactly what a Spark 429 produces —
and `resets_at` on such an error is the Spark window's reset, so the backfill
put model-scoped timing back on the account's own quota.
Gate the backfill on the same ownership rule the window parsing uses.
Reported by Cursor Bugbot on the fork PR.
Co-Authored-By: Claude Opus 5 <[email protected]>
`parse_codex_usage_headers` reads the unprefixed `x-codex-primary/secondary-*`
headers as the account's own quota. They are not: they carry whichever limit
governed the request, and `x-codex-active-limit` names it — `premium` for the
plan's own limit, or a metered feature such as `codex_bengalfox` for a named
per-model limit. On a request billed against a named limit the unprefixed
headers repeat that limit's windows verbatim.
So a single request to a model with its own limit writes that model's windows
into the account slots. The paid-window swap then makes it worse: a named
limit's secondary window is active, unlike the plan's disabled one, so the swap
promotes the model's weekly window into the account's weekly slot — the slot
the UI labels and the scheduler reads through `quota_usage_ratio`.
It also sticks. Both weekly windows share `window_minutes`, so
`codex_quota_same_window_identity` treats them as one window, and
`codex_quota_merge_same_window` drops an observation whose deadline is earlier
than the stored one. The two weeks start at different instants, so every later
account observation looks like a stale sample of a window that already rolled
over and is discarded until the model window's own deadline passes.
Observed on a `pro` key running both model families: one `gpt-5.3-codex-spark`
request replaced the account weekly window with the Spark weekly one, and the
~3000 plan-limit responses over the next 100 minutes were all discarded. The
account's real weekly usage never landed, and its reset time was reported nine
hours late.
The header set describes itself — every named limit announces
`x-codex-<feature>-limit-name` and carries its windows under the same prefix —
so parse the named families directly and only claim the unprefixed windows for
the account when no announced limit owns them. Responses without
`x-codex-active-limit` keep the previous behaviour.
This also stops the Spark windows from going stale: they were only ever written
by the `wham/usage` admin probe even though every response carries them.
Refs #746
Co-Authored-By: Claude Opus 5 <[email protected]>
Revalidate control policy per turn, isolate downstream credentials, and make planner/turn ownership cancellation-safe.
Preserve opaque protocol events, align configurable timeout semantics, and extend end-to-end security and settlement coverage.
elky