Administrators often need exact model identifiers while editing account whitelists. Add a dedicated copy action without changing model selection or upstream sync behavior.
Constraint: Keep the contribution frontend-only and avoid model routing or persistence changes
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Keep copy and selection as separate actions
Tested: focused Vitest, account component regression tests, frontend typecheck, lint, and production build
Not-tested: Authenticated browser screenshot
Related: Wei-Shaw/sub2api#2151
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.
alfadb