- openai_ws_forwarder_ingress: resolve billing tier from the local
upstreamResponseModelObserver (upstream echo first) instead of the raw
request payload, matching the HTTP->WS bridge and WS v2 forwarder.
- openai_ws_http_bridge_test: add fast-alias + upstream default case
proving the local observer's echoed tier wins.
- handler tests: keep only invalid service_tier -> 400 (short-circuits at
validation); valid/omitted semantics covered by the pure service-level
validation tests, avoiding real account selection in tests.
- Accept fast|priority (canonical priority), flex|auto|default|scale on
/v1/responses and /v1/chat/completions; reject unknown/empty/non-string
with HTTP 400; omitted and null stay compatible.
- Propagate service_tier through JSON/SSE, Responses<->Chat conversions,
fallback paths and HTTP->upstream WebSocket bridge.
- Billing prefers the upstream terminal tier; the outbound (policy-
transformed) tier is used only when upstream omits the field.
Explicit upstream default bills Standard even when Fast was requested.
- Pricing: Fast premium 2x Standard for gpt-5.6-sol/terra/luna and
gpt-5.4; 2.5x for gpt-5.5; channel FastMultiplier stays authoritative.
- Live verification (official Codex 0.149.0 + gateway, HTTP & WS):
upstream ChatGPT backend may return terminal default even when the
account catalog advertises priority; billing follows the actual tier.
sanitizeGroupMessagesDispatchFields forces AllowMessagesDispatch=false for
every non-openai platform including composite, and the gate checked only the
group platform — so composite requests resolved to grok/CN targets were
rejected 403 on /v1/messages and /v1/messages/count_tokens before reaching
the composite target whitelist, leaving the CN rollout unusable for
Claude-protocol clients.
- allowOpenAICompatibleMessagesDispatch: composite groups resolved to a
grok/CN target get the same exemption as the standalone platforms;
openai-resolved and unresolved targets keep requiring the switch
- resolveOpenAIMessagesDispatchMappedModel: skip the group-level dispatch
model mapping (openai-specific gpt defaults) for composite grok/CN
targets — model rewriting stays with account-level model_mapping
- Responses WebSocket composite whitelist stays openai+grok: CN accounts
cannot pass the WSv2 ingress transport filter and the WS HTTP bridge
has no Responses conversion for them, so admitting CN targets only
turns a clear policy rejection into a misleading no-available-account
- widen the responses/input_tokens and messages/count_tokens composite
gates to the shared openai-compatible text whitelist so CN targets get
the same local-estimate token counting as generation
- restore the Claude default-model fallback for standalone CN groups
(admin candidates and custom models list) while keeping composite
listings limited to CN account mapping keys
- refresh the scheduler bulk-rebuild comment and bucket capacity hints
for the 8-platform canonical set
