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.
Composite model catalogs expose exact account model_mapping aliases, but request routing only considered explicit routes or model-name detection. Unprefixed aliases were selectable but unroutable.
Resolve unique exact account ownership before the detector, keep explicit routes authoritative, and fail closed when an alias is claimed across platforms.
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.
ConfigManager.refreshLoop reloads the Prompt Guard config every 5s and
Reload logged config_loaded on every successful load, so an unchanged
config produced up to ~17k identical lines per instance per day and
buried real configuration changes.
Log the event only when the reload carries news: the first snapshot, a
new config version (every admin save bumps it under the advisory lock in
UpdateConfig), a flip of the global risk control gate (a separate setting
that leaves the version untouched), or a recovery from a failed reload so
the degraded-to-healthy transition stays visible.
This mirrors logInvalidTokenEndpoints, which already warns once per
change rather than on every refresh.
CN-provider accounts explicitly configured with api_protocol=anthropic
(the frontend offers per-provider presets such as GLM Anthropic) fell
through the account-test router to the generic Claude tester, which:
- appended ?beta=true, which the native passthrough deliberately avoids
for third-party Anthropic endpoints, and
- defaulted a missing base_url to https://api.anthropic.com — sending
the provider's API key to Anthropic instead of the provider's own
Anthropic-compatible endpoint (guaranteed 401 plus cross-provider
credential exposure).
Route them to a dedicated probe that mirrors the adaptive Anthropic
check: resolve the endpoint via GetAnthropicProtocolBaseURL (same
resolution as real /v1/messages forwarding, including per-platform
defaults), use the shared API-key auth header, and mark 401/403 as the
account error state.
Also fail fast with an actionable hint when the anthropic-protocol
base_url still points at an OpenAI-compatible endpoint (paas path,
version segment, or chat/completions suffix): the naive {base}/v1/messages
join would 404 (e.g. /api/paas/v4/v1/messages) without any pointer to
the actual misconfiguration.
Long Li