- parseSettings now reports passkey_enabled=false whenever the WebAuthn
deployment config is absent: a stale "true" row left behind after the
config is removed previously made the admin update gate reject every
settings save while the UI toggle was disabled, leaving no recovery
path from the admin panel. Added a regression test.
- update the admin settings API contract goldens with the new
passkey_enabled/passkey_configured/passkey_rp_id/passkey_rp_origins
fields.
- errcheck: check rows.Close in passkey repository (repo convention).
- staticcheck QF1001: apply De Morgan's law in WebAuthn origin scheme
validation.
Flattening Codex `type:"namespace"` tool declarations into `namespace__name`
renames the tool but cannot rewrite the contract the client already handed the
model: Codex tells it to call `to=functions.collaboration.spawn_agent`. Under
`tool_mode: code_mode_only` (gpt-5.6-*) collaboration tools are the model's only
direct channel, so the rename left it unable to address them — it fell back to
`functions.exec` and looped on meaningless shell commands until the session
collapsed, with no upstream error anywhere. Fixes#4978.
Preserving is what the upstream actually wants. OAuth egress is unconditionally
chatgpt.com/backend-api/codex/responses (base_url is read only for API-key
accounts), i.e. the party that defines the extension; codex-rs builds one
request for both WS and HTTP and falls back WS->HTTP mid-session, so these
declarations already reach that host over HTTP — as they do today via the
responses-lite carrier and the WS/HTTP bridge, neither of which ever flattened.
Namespace names cannot be allowlisted: `features.multi_agent_v2.tool_namespace`
is user-configurable (openai/codex#31864 recommends renaming it to `agents`) and
MCP/connector namespaces are generated at runtime (mcp__codex_apps__gmail).
So the default is inverted rather than extended with more names.
- Preserve namespace declarations by default for OpenAI OAuth; the new
per-account `extra.openai_responses_flatten_namespaces` restores the previous
behavior for deployments routing OAuth traffic to a relay that rejects them.
- Keep `input[].namespace` on tool-call items for OAuth non-compact requests.
The upstream requires the round-trip ("Missing namespace for function_call
'...'. Round-trip the model's function_call item with its namespace field
included."), so preserving declarations while stripping the calls would 400 on
the second turn. The item-type allowlist mirrors the existing reactive strip.
- Keep compact on its current behavior: that endpoint rejects the field outright
("Unknown parameter: 'input[894].namespace'", #4761) and there is no evidence
either way about namespace declarations there, so this change does not widen
its surface. API-key accounts are untouched — their upstream is a standard
Responses API and the reactive retry only clears one index per round trip.
- Clear the flatten mapping at the start of each Forward attempt so an account
reached through failover cannot restore responses with the previous account's
mapping.
Admin UI gets an OAuth-only toggle (create/edit/bulk) plus zh/en copy noting the
compact exception.
An OpenAI account with auto-passthrough enabled (extra.openai_passthrough=true,
"replace auth only, allow all models") was still filtered out during account
selection when it had a non-empty credentials.model_mapping that did not list the
requested model. isOpenAICompatibleAccountEligibleForRequest calls
Account.IsModelSupported directly, and IsModelSupported only bypassed the mapping
whitelist for passthrough accounts when the mapping was empty. A leftover mapping
(common after switching an account from whitelist mode to passthrough) therefore
excluded the account -> zero candidates -> ErrNoAvailableAccounts, and the client
saw 404 "Model ... is not supported by any configured account in this group" even
though a direct account test with the same model succeeded (that path already
honored passthrough via isModelSupportedByAccount).
Fix: short-circuit passthrough at the top of Account.IsModelSupported, before the
model_mapping check, so it is consistent with isModelSupportedByAccount. Add a
regression test covering passthrough + non-empty leftover mapping.
When an upstream API gateway (e.g. new-api) relays real Claude Code
requests, the User-Agent becomes Go-http-client while the body retains
the full Claude Code fingerprint (billing attribution block +
metadata.user_id + cache_control breakpoints).
Previously, the OAuth mimicry path relied solely on UA matching to
detect Claude Code clients. Without a matching UA, the gateway would
rewrite the system prompt — replacing the client's carefully structured
system blocks and cache_control breakpoints with its own injection.
This breaks Anthropic's prefix-based prompt cache: since the cache key
evaluates tools → system → messages in order, a changed system
invalidates all downstream message caching.
Symptoms observed:
- cache_read permanently locked at ~25K (only system prompt cached)
- cache_creation growing monotonically every turn (full messages rewrite)
- Single-request costs $17-27 instead of normal $1-2
Fix: when UA does not match but the body contains a valid billing
attribution block (x-anthropic-billing-header with cc_entrypoint=),
treat the request as proxied Claude Code traffic and skip mimicry.
This preserves the client's original system structure and cache_control
breakpoints, allowing Anthropic's prompt cache to function correctly.
17Yuns