Public groups have always been bindable by every user: CanBindGroup returned
true for any non-exclusive group, and user_allowed_groups only ever carried the
exclusive groups an admin had granted. Admins had no way to hand a single user
a subset of the public groups short of converting a group to exclusive, which
changes it for everyone already using it.
A user now carries restrict_public_groups. While it is false, which is the
default and what every existing row migrates to, nothing changes: every public
group stays bindable. Once an admin turns it on for a user, that user's public
groups are narrowed to the ones listed in user_allowed_groups, the same table
that already gates exclusive groups.
The flag is an administrative control, so it rides on the admin user DTO only
and leaves the shape of the end-user endpoints alone.
The model plaza filter honours the flag as well, so a restricted user is not
shown groups they would be refused when binding a key. Anonymous visitors have
no user record and keep the previous view.
Enforcement rides on the existing CanBindGroup choke point, so it covers key
creation, key updates, and per-request authorization together. An API key bound
to a group that is later withdrawn stops working at request time rather than
lingering as a key that can be listed but not used.
The admin dialog gains a toggle over the public group list. Turning it off
re-checks every public group, so an admin cannot save a list that reads as
restrictive while the restriction itself is disabled.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Merge origin/main into contrib/routed-codex-model-catalog.
Single conflict in openai_gateway_forward.go: main added
ClearActualOpenAIUpstreamEndpoint + SetActualOpenAIUpstreamEndpoint
(commit 4795650d2) at the same insertion point where the PR added
filterOpenAIResponsesNoneReasoningEffortForAccount. Both changes
are independent — endpoint observability first, then body filtering.
Copy cached API-key manifests before group-specific mutation, use DeepSeek
model IDs for Codex fallbacks, omit unsupported config.toml effort, and
drop wildcard mapping keys from generated catalogs.
Co-authored-by: Cursor <cursoragent@cursor.com>
Keep catalog membership on schedulable accounts and intersect advertised
capabilities across all active group members that map an alias. Preserve
upstream plugin, service-tier, and models-list body-limit changes.
Co-authored-by: Cursor <cursoragent@cursor.com>
Intersect advertised alias capabilities across all active group members
that map the model, not only currently schedulable accounts, so rate-limits
cannot widen image input or context windows.
Co-authored-by: Cursor <cursoragent@cursor.com>
Users only see the reasoning effort they requested. Admins still see
the requested value plus the forwarded mapped value, matching the
model column's requested vs upstream split.
- 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.
Account model mappings decide availability, but generated Codex catalogs previously inferred capabilities from local model-name tables. Compatible upstreams can expose unknown models such as OpenCode x-preview-f-free, so reasoning levels, image input, and context limits were missing or wrong.
Sync capability metadata from the account model endpoint, enrich incomplete lists from the Models.dev provider matching the account base URL, and persist only complete snapshots. Mixed groups consume the safe intersection across schedulable accounts. When IDs sync without complete metadata, return an explicit warning and preserve the previous snapshot.
Third-party Responses providers often omit /models. If that endpoint returns 404 or 405 and the account already has concrete model mappings, use those configured upstream IDs for capability enrichment. Authentication, rate-limit, server, and network failures remain hard errors, and metadata is never guessed across providers by model name alone.
Advertise a single none choice for non-reasoning models so current Codex can select them, then omit that catalog placeholder when forwarding to compatible Responses upstreams while preserving official OpenAI request semantics.
OpenAI groups can mix OAuth accounts with Responses-compatible API key accounts whose upstreams do not implement /models. The manifest handler previously selected one account and fetched its catalog before merging model_mapping aliases, so a permanent 404 returned 502 and hid models the administrator had already configured.\n\nTreat explicit model mappings from schedulable accounts as the authoritative Codex catalog. Build that catalog locally before account selection, preserve group filtering and final-body ETags, and retain the existing upstream discovery and failover path only when no mappings exist. Composite groups keep their existing account-first catalog behavior.
Anthropic fallbacks previously reused Antigravity defaults, leaking Gemini models into Claude-only groups. Composite aliases were also emitted with generic metadata and could be scheduled to accounts that did not own the exact mapping, while generated configs could default to a model absent from the downloaded catalog.
Keep provider defaults separated, derive alias capabilities from unique upstream targets with conservative fallback, require exact mapping ownership during scheduling, filter media targets, and choose generated config defaults from the fetched catalog.
Codex treats the downloaded model catalog as a capability contract. Slug-only entries hide supported reasoning levels, can advertise invalid image inputs, and expose automatic or media-only models in the model picker. Generate complete route-aware metadata, preserve official manifests, filter non-agent models, and compute validators from the final catalog.
Codex model discovery expects a top-level models manifest, but Composite and other non-OpenAI groups either reached the OpenAI live-manifest handler or had no Codex-specific response at all. API key users also had no supported way to fetch that manifest and reference it from config.toml.
Generate minimal manifests from each group's effective model list while preserving the official OpenAI live path and the ordinary /models response. Add the Use Key flow for authenticated catalog download and model_catalog_json configuration without writing the API key into the downloaded file.
RayWangX