Adds an admin-side action that mirrors the Codex Desktop "rate-limit reset"
flow against chatgpt.com upstream for OpenAI OAuth accounts.
Backend
- OpenAIQuotaService.QueryUsage / ResetCredit hit /wham/usage and
/wham/rate-limit-reset-credits/consume with the Codex Desktop header set,
reusing OpenAITokenProvider for refreshed tokens and PrivacyClientFactory
for the impersonated Chrome TLS fingerprint.
- Honors the account's configured proxy by reading the eager-loaded
account.Proxy directly (falls back to proxyRepo only when missing).
- GET /api/v1/admin/openai/accounts/:id/quota
POST /api/v1/admin/openai/accounts/:id/reset-quota
- Wire DI for the new service + handler dependency.
Frontend
- OpenAIQuotaResetCell renders a single action row in AccountUsageCell's
OpenAI section: the existing local "查询" (active sampling) is injected
via #pre-actions, alongside a "次数 N" button that doubles as the
upstream query trigger and the available-credit indicator, and a "重置"
button that consumes one credit.
- No duplicate 5h/7d window display; the local UsageProgressBar owns those
bars to avoid confusion.
When image generation models are billed by token (channel pricing mode=token),
the usage pages previously showed only image count format instead of detailed
token breakdown. This fixes the display to properly show image output tokens
separately from text output tokens.
- TopK initial filter now drops quota-paused accounts: fold the quota check
into isAccountRequestCompatible so session-hash, TopK pool, and per-candidate
rechecks all skip paused accounts. Previously the candidate pool was built
without the quota check, so paused accounts could fill TopK and leave the
scheduler returning "no available accounts" even with healthy ones available.
- Add per-account explicit disable flags auto_pause_5h_disabled /
auto_pause_7d_disabled with toggles in EditAccountModal. Without these,
leaving the account threshold blank silently falls back to the global default,
so admins could not exempt a single account once a global default existed.
Disable is per-window: an account can opt out of 5h auto-pause while still
honoring 7d. Schedule snapshot whitelist includes the new fields, i18n EN/ZH
updated, threshold-hint text revised to explain "blank = global default".
- Move quota auto-pause settings off the request hot path: replace the per-repo
TTL+singleflight sync DB read with a per-SettingService stale-while-revalidate
in-memory snapshot. Get is non-blocking (atomic.Pointer load + async refresh
on staleness); writes via UpdateOpsAdvancedSettings push directly into the
cache through an injected sink; wire warms the cache at startup. Adds Warm
(sync) for tests/init and SetOpenAIQuotaAutoPauseSettings (sink target).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Pool mode currently retries the same account for a fixed set of
upstream HTTP statuses: 401, 403, 429. Some upstream pool deployments
also need same-account retry for transient provider/proxy statuses
such as 502, 503, 520, 529, but hard-coding more statuses changes
behavior for everyone.
Add a per-account credentials option `pool_mode_retry_status_codes`
that lets admins choose which upstream HTTP status codes trigger
same-account retry in pool mode:
- Unset (default): preserve the current 401/403/429 default
- Explicit list: override the defaults with the configured codes
- Codes normalized to the 100-599 range, deduplicated, sorted
The standalone `isPoolModeRetryableStatus` helper is kept as the
default-only fallback. All 15 gateway call sites switch to the new
`Account.IsPoolModeRetryableStatus` method so behavior is preserved
for accounts that do not configure the new field.
Frontend admin UI gains a "Retry Status Codes" comma-separated input
under the pool-mode section in both Create/Edit account modals
(en + zh i18n).
Fixes#2731
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add a low-visibility proxy IP resource link near proxy-related controls.
- Show the link beside account proxy selectors
- Show the link in the create proxy dialog tab row
- Keep the entry inline to avoid interrupting form workflows
Cache Hit Rate was calculated as cache_read / (cache_read + cache_creation),
which always yields 100% for OpenAI models since cache_creation is never
reported by the OpenAI API. The denominator should include all prompt tokens
(input_tokens + cache_read_tokens + cache_creation_tokens) so the rate
reflects the actual percentage of input tokens served from cache.
Fixes#2291
feitianbubu