Address self-review findings:
R7: Use a narrow per-trust-domain header allowlist for CC raw forwarding.
The previously reused openaiAllowedHeaders contains Codex client-only headers
(originator/session_id/x-codex-turn-state/x-codex-turn-metadata/conversation_id)
that must not leak to third-party OpenAI-compatible upstreams (DeepSeek/Kimi/
GLM/Qwen). Strict upstreams may 400 with 'unknown parameter'; lenient ones
silently pollute their request statistics. New openaiCCRawAllowedHeaders only
allows generic HTTP headers (accept-language, user-agent); content-type/
authorization/accept are set explicitly by callers.
R4: Drop the dead includeUsage parameter from streamRawChatCompletions.
The CC pass-through path doesn't need to inspect the client's stream_options
flag — the upstream handles it and we only extract usage when it appears in
chunks. Killing the unused parameter removes a misleading 'parameter read
but discarded' code smell.
Sediment refs:
- pensieve/short-term/maxims/dont-reuse-shared-headers-whitelist-across-different-upstream-trust-domains
- pensieve/short-term/knowledge/openai-gateway-shared-state-quirks
- pensieve/short-term/pipelines/run-when-self-reviewing-forwarder-implementation
OpenAI APIKey accounts with base_url pointing to third-party OpenAI-compatible
upstreams (DeepSeek, Kimi, GLM, Qwen, etc.) were failing because the gateway
unconditionally converted Chat Completions requests to Responses format and
forwarded to {base_url}/v1/responses, which only exists on OpenAI's official
endpoint.
Detection-based routing:
- Probe upstream capability on account create/update via a minimal POST to
/v1/responses; HTTP 404/405 means 'unsupported', any other response means
'supported'.
- Persist result as accounts.extra.openai_responses_supported (bool).
- ForwardAsChatCompletions branches at function entry: APIKey accounts with
explicit support=false go through new forwardAsRawChatCompletions which
passthrough-forwards CC body to /v1/chat/completions without protocol
conversion.
Default behavior for accounts without the marker preserves the legacy
'always Responses' path — existing OpenAI APIKey accounts that were working
before this change continue to work without modification (the 'reality is
evidence' principle: an account that has been running implies upstream
capability).
Probe is fired async after Create / Update / BatchCreate; failures only log,
never block the admin flow. BulkUpdate omitted (low signal of base_url
changes; can be added if needed).
Implementation:
- New pkg internal/pkg/openai_compat: marker key + ShouldUseResponsesAPI
- New service file openai_apikey_responses_probe.go: probe + persist
- New service file openai_gateway_chat_completions_raw.go: CC pass-through
- Account test endpoint short-circuits with explicit message for
probed-unsupported accounts (full CC test path is a TODO)
Zero schema changes, zero migrations, zero frontend changes, zero wire
modifications — all wired through existing AccountTestService injection.
Closes: DeepSeek-OpenAI account (id=128) production failure
Backend: Fix three race conditions in SetSnapshot that caused account
scheduling anomalies and broken sticky sessions:
- Use Lua CAS script for atomic version activation, preventing version
rollback when concurrent goroutines write snapshots simultaneously
- Add UnlockBucket to release rebuild lock immediately after completion
instead of waiting 30s TTL expiry
- Replace immediate DEL of old snapshots with 60s EXPIRE grace period,
preventing readers from hitting empty ZRANGE during version switches
Frontend: Remove serial queue throttle (1-2s delay per request) from
usage loading since backend now uses passive sampling. All usage
requests execute immediately in parallel.
The errcheck linter flagged an unchecked type assertion on
item["type"].(string). Use the two-value form with require.True
to satisfy the linter and fail clearly on unexpected types.
- Security: force token_uri to Google default, preventing SSRF via crafted service account JSON
- Dedup: extract shared getVertexServiceAccountAccessToken() to eliminate ~35 lines of duplication between ClaudeTokenProvider and GeminiTokenProvider
- Fix: apply model mapping + Vertex model ID normalization in forward_as_responses and forward_as_chat_completions paths
- Fix: exclude service_account from AI Studio endpoint selection (Vertex cannot serve generativelanguage.googleapis.com)
- Feature: add model restriction/mapping UI for service_account in EditAccountModal
- Dedup: extract VERTEX_LOCATION_OPTIONS to shared constants
- i18n: replace all hardcoded Chinese strings in Vertex UI with translation keys
(*net.OpError).Error() concatenates Source/Addr fields, so the previous
disconnectMsg surfaced internal source IP/port and upstream server address
to clients via SSE error frames and UpstreamFailoverError.ResponseBody
(reported by @Wei-Shaw on PR #2066).
- Add sanitizeStreamError that maps known errors (io.ErrUnexpectedEOF,
context.Canceled, syscall.ECONNRESET/EPIPE/ETIMEDOUT/...) to fixed
descriptions and falls back to a generic placeholder, with an explicit
*net.OpError branch that drops Source/Addr fields entirely.
- Use sanitized message in client-facing disconnectMsg; full ev.err is
still preserved in the existing operator log line for diagnosis.
- Tests cover net.OpError redaction, the failover ResponseBody path, and
every known sanitized error mapping.
Background / 背景
The ops cleanup task currently rejects retention days < 1 in both validate
and normalize, so operators who want minimal-history setups (e.g. high
churn deployments that prefer near-realtime cleanup) cannot express that
intent through the UI. The only options are 1+ days, which keeps at least
24h of history regardless of cron frequency.
ops 清理任务目前在 validate 和 normalize 两处都拒绝小于 1 的保留天数，
让希望尽量不留历史的运维场景（高吞吐部署 + 想用近实时清理）无法通过 UI
表达。最低只能配 1，等于不管 cron 多频繁，至少都会保留 24 小时的历史。
Purpose / 目的
Let admins set retention days to 0, meaning "every scheduled cleanup
run wipes the corresponding table(s) entirely". Combined with a more
frequent cron (e.g. `0 * * * *`) this yields effectively rolling cleanup.
允许管理员把保留天数设为 0，语义为"每次定时清理时把对应表全部清空"。
搭配更频繁的 cron（比如每小时整点）即可获得近似滚动清理的效果。
Changes / 改动内容
Backend
- service/ops_settings.go: validate accepts [0, 365]; normalize only
refills default 30 when value is < 0 (negative is treated as legacy
bad data, 0 is honoured)
- service/ops_cleanup_service.go: introduce `opsCleanupPlan(now, days)`
returning `(cutoff, truncate, ok)`. days==0 returns truncate=true and
short-circuits to a new `truncateOpsTable` helper that uses
`TRUNCATE TABLE` (O(1), no WAL, no VACUUM pressure). days>0 keeps
the existing batched DELETE path unchanged. Empty tables skip
TRUNCATE to avoid the ACCESS EXCLUSIVE lock entirely
- Extract `isMissingRelationError` helper to dedupe the "table not
yet created" tolerance shared by both delete and truncate paths
- Add unit tests for `opsCleanupPlan` (three branches) and
`isMissingRelationError`
后端
- service/ops_settings.go: validate 接受 [0, 365]；normalize 仅在 < 0
时回填默认 30（负数视为脏数据，0 被尊重）
- service/ops_cleanup_service.go: 抽 `opsCleanupPlan(now, days)` 返回
`(cutoff, truncate, ok)`。days==0 → truncate=true，走新增
`truncateOpsTable`（TRUNCATE TABLE，O(1)，无 WAL、无 VACUUM 压力）；
days>0 仍走原批量 DELETE 路径，行为完全不变。空表跳过 TRUNCATE，
避免无意义的 ACCESS EXCLUSIVE 锁
- 抽 `isMissingRelationError` helper 复用 delete / truncate 两处的
"表不存在"宽容判断
- 补 `opsCleanupPlan` 三分支 + `isMissingRelationError` 单元测试
Frontend
- OpsSettingsDialog.vue: validation accepts [0, 365]; input min=0
- i18n (zh/en): hint mentions "0 = wipe all on every cleanup",
validation message updated to 0-365 range
前端
- OpsSettingsDialog.vue: 校验放宽到 [0, 365]，input min 改 0
- i18n（zh/en）：hint 补"0 = 每次清理时清空所有"，错误提示改 0-365
Trade-offs / 取舍
- TRUNCATE requires ACCESS EXCLUSIVE lock briefly, but ops tables only
have the cleanup task as a writer, so the lock is invisible to other
workloads
- Empty-table guard avoids the lock when there is nothing to clean
- Negative values are still treated as legacy bad data and replaced
with default 30 to preserve compatibility
Closes#1957
The OAuth path forwards client requests to chatgpt.com/backend-api/codex/responses,
where applyCodexOAuthTransform forces store=false (chatgpt.com's codex backend
rejects store=true). Reasoning items emitted under store=false are NEVER
persisted upstream, so any rs_* reference that a client carries forward in a
subsequent input[] array triggers a guaranteed upstream 404:
Item with id 'rs_...' not found. Items are not persisted when `store` is
set to false. Try again with `store` set to true, or remove this item
from your input.
sub2api wraps this as 502 "Upstream request failed" and the conversation
breaks on every multi-turn /v1/responses request that uses reasoning + tools
(reproducible with gpt-5.5; gpt-5.4 happens to dodge it because the upstream
does not emit reasoning items for that model).
Affected clients include any that follow the OpenAI Responses API spec and
replay prior assistant items verbatim — in practice this hit OpenClaw and
similar agent harnesses on every turn ≥2 with tool use.
The fix: in filterCodexInput, drop input items with type == "reasoning"
entirely. The model never reads reasoning summary text from input (only
encrypted_content can carry reasoning context across turns, and chatgpt.com
under store=false does not emit it), so this is a no-op for the model itself
and a clean removal of unreachable upstream lookups.
Scope is intentionally narrow:
* Only OAuth account requests (account.Type == AccountTypeOAuth) reach
applyCodexOAuthTransform / filterCodexInput.
* API-key accounts going to api.openai.com/v1/responses are unaffected
(store=true works there, rs_* persists, multi-turn already works).
* Anthropic / Gemini platform groups go through different transforms and
are unaffected.
* /v1/chat/completions is unaffected (no reasoning items).
* item_reference items (different type) are unaffected — only type ==
"reasoning" is dropped.
Verification:
* Existing tests pass: go test ./internal/service/ -run Codex|Tool|OAuth
* New regression test asserts reasoning items are dropped under both
preserveReferences=true and preserveReferences=false.
* End-to-end repro on gpt-5.5 multi-turn + tools: pre-patch 502, post-patch
200. Repro on gpt-5.4 unchanged. Three-turn deep loop on gpt-5.5 passes.
Two follow-ups to PR #2066's failover-wrap fix:
1. Failover ResponseBody (`UpstreamFailoverError.ResponseBody`) was encoded
as `{"error": "<msg>"}` (string field). `ExtractUpstreamErrorMessage`
probes for `error.message`, `detail`, or top-level `message` only — so
`handleFailoverExhausted` and downstream passthrough rules saw an empty
message, losing the EOF root cause in ops logs. Re-encode as the
Anthropic standard shape `{"type":"error","error":{"type":"upstream_disconnected","message":"..."}}`.
(Addresses the inline review comment from copilot-pull-request-reviewer
on Wei-Shaw/sub2api#2066.)
2. The streaming `event: error` SSE frame for `response_too_large`,
`stream_read_error`, and `stream_timeout` was non-standard
(`{"error":"<reason>"}`). Anthropic SDKs (and Claude Code) expect
`{"type":"error","error":{"type":"...","message":"..."}}` and parse
`error.type`/`error.message` accordingly. Refactor `sendErrorEvent` to
take both reason and message, and emit the standard frame so client
SDKs surface a real diagnostic message instead of a generic stream error.
This does not by itself prevent task interruption on long-stream EOF
(SSE has no resume; client-side retry remains the only complete fix), but
it gives both server-side ops logs and client-side error UIs a meaningful
upstream message so users know the next step is to retry.
Tests updated to assert the new body shape on both branches plus a new
assertion that `ExtractUpstreamErrorMessage` returns a non-empty string.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Anthropic streaming path (gateway_service.go) returned a plain error on
upstream SSE read failure, so the handler-level UpstreamFailoverError check
never fired and the client received a bare `stream_read_error` event,
breaking long-running tasks even when no bytes had been written yet.
The most common trigger is HTTP/2 GOAWAY from api.anthropic.com edge
backends doing graceful rotation: Go's http.Transport surfaces this as
`unexpected EOF` and never auto-retries.
Mirror what the OpenAI and antigravity gateways already do: when the read
error happens before any byte has reached the client (`!c.Writer.Written()`),
return `*UpstreamFailoverError{StatusCode: 502, RetryableOnSameAccount: true}`
so the handler can retry on the same or another account. After client
output has begun, SSE has no resume protocol — keep the existing passthrough
behavior.
Tests cover both branches via streamReadCloser-based fixtures.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
