- 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>
- gate previous_response_id sticky path with quota auto-pause check at both
the snapshot and DB-recheck stages (previously bypassed, #1)
- skip pausing when the usage window already reset to avoid a stale stuck-pause;
carry codex_*_reset_at / reset_after_seconds / codex_usage_updated_at through
the scheduler snapshot whitelist (#2)
- remove the incomplete limit mode; percentage threshold only (#3)
- add global default 5h/7d threshold inputs to the Ops settings dialog with
validation and en/zh i18n (#4)
- downgrade account_auto_paused_by_quota log from Info to Debug; it fires
per-candidate on the scheduling hot path (#5)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
gpt-5.x models served via the OpenAI Responses API reject requests that
include temperature or top_p with:
{"detail":"Unsupported parameter: temperature"}
This caused ClaudeCode agent/subagent tool requests to fail with a 400
error when an OpenAI group had the Messages-format support enabled.
Root cause: AnthropicToResponses and ChatCompletionsToResponses were
unconditionally forwarding temperature and top_p from the incoming
request to the ResponsesRequest, even though all gpt-5.x reasoning
models reject these sampling parameters.
Fix:
- Add isReasoningModel(model string) bool helper that returns true for
any model whose name starts with "gpt-5".
- Skip temperature and top_p when converting to ResponsesRequest for
reasoning models. Non-reasoning models (e.g. gpt-4o) are unaffected.
- ResponsesRequest.Temperature and TopP are already *float64 with
omitempty, so nil values are safely omitted from the JSON body.
Tests:
- TestAnthropicToResponses_TemperatureStrippedForReasoningModel
- TestAnthropicToResponses_TemperatureStrippedForAllGpt5Variants
- TestChatCompletionsToResponses_TemperatureStrippedForReasoningModel
- TestChatCompletionsToResponses_TemperaturePreservedForNonReasoningModel
Fixes#2487
When a chat-completions message has no usable content parts (empty array,
empty text part, or filtered-out image part), marshalChatInputContent
marshalled a nil slice to JSON null. The upstream Responses API rejects a
null content field with HTTP 400. Fall back to an empty string instead.
Fixes#2515
`corepack prepare pnpm@latest` now resolves to pnpm 11, which promotes
ERR_PNPM_IGNORED_BUILDS to a hard error and breaks the frontend stage of
`docker build`. Pin pnpm to v9 to match the CI workflow
(pnpm/action-setup version: 9) and keep image builds reproducible.
Fixes#2442
Image generation requests (forwardOpenAIImagesOAuth and
forwardOpenAIImagesAPIKey) were calling detachStreamUpstreamContext with
parsed.Stream, which for non-streaming requests (Stream=false) simply
returned the original client context unchanged. When the client
disconnected before the upstream completed (30-80s for image gen), the
context cancellation propagated to the upstream HTTP request, causing a
502 error despite the upstream having already started processing.
Switch to detachUpstreamContext (unconditional detach) so the upstream
image generation request is always bound to a background context and
completes regardless of client lifecycle.
Fixes#2310
wucm667