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Author SHA1 Message Date
Jason 21e695f68a chore(release): prepare v3.16.3
- Bump version to 3.16.3 (package.json, tauri.conf.json, Cargo.toml, Cargo.lock)
- Add CHANGELOG entry for v3.16.3 (59 commits since v3.16.2)
- Add trilingual release notes (zh / en / ja) under docs/release-notes/
2026-06-15 00:08:21 +08:00
Jason c678374c59 chore(presets): update Volcengine Ark Coding Plan invite link and promo copy
- Replace activity/agentplan links with the new codingplan invite URL
  (ac=MMAP8JTTCAQ2, rc=6J6FV5N2) across all 6 app presets
- Refresh partnerPromotion copy in all 4 locales: two-month 75% off plus
  invite code 6J6FV5N2; correct product name from Agent Plan to Coding Plan
- README: swap the CN-mainland redirect link in EN/DE, refresh the ZH promo
  copy, and add the redirect link to the JA BytePlus entry
2026-06-14 23:03:31 +08:00
Jason d307df92e9 chore(presets): drop isPartner flag from MiniMax presets across all apps
Remove the gold star badge and the partner promotion banner for MiniMax by
deleting the isPartner flag from all 12 MiniMax presets (cn + en) across
claude, claude-desktop, codex, opencode, openclaw, and hermes.

Both the preset-selector star (gated on isPartner) and the API-key promotion
banner (gated on isPartner && partnerPromotionKey) disappear as a result.
The partnerPromotionKey and the minimax_cn/minimax_en i18n copy are kept
dormant so the partnership can be re-enabled with a single line if needed.
MiniMax stays as a regular cn_official provider, keeping its icon and theme.
2026-06-14 21:47:46 +08:00
Jason 5092fe51ce fix(updater): prevent codex self-update from breaking npm platform-dispatch installs
Codex ships as an npm platform-dispatch package (JS launcher @openai/codex + per-platform binary optional deps like @openai/codex-darwin-arm64). The upgrade chain ran `<bin>/codex update || <bin>/npm i -g @openai/codex@latest`, which can leave codex throwing "Missing optional dependency @openai/codex-darwin-arm64":

- `codex update` on an npm install is a bare `npm install -g @openai/codex` that prints success and exits 0 even when the platform binary fails to land, short-circuiting the `||` npm fallback.

- The npm fallback is a no-op when version==latest and only targets the main package, so it can never re-land the missing platform binary.

Fixes: (1) remove codex from prefers_official_update (Posix+Windows) so npm-managed codex no longer runs the false-success `codex update`; (2) add a runnable=false gate in installs_anchored_command emitting an uninstall+install self-heal — the only repair that re-lands the platform binary; (3) narrow by source/real to npm-managed sources (nvm/fnm/mise/homebrew, non-brew-formula) so broken brew-formula/volta/bun installs fall back to their own anchored commands instead of being mis-repaired with npm. Reuses the existing enumerate runnable signal; no new FS probing.
2026-06-14 21:21:45 +08:00
Jason 34001aaffc perf(about): cache tool version probes across tab switches with a TTL
Settings uses Radix tabs, which unmount inactive tab content. Every time
the About tab was reopened, AboutSection remounted and its mount effect
re-ran all six tool version probes (a `--version` subprocess plus an
npm/github/pypi request each) -- wasteful, since versions rarely change
within a session and a manual Refresh already exists.

Add a module-scoped cache (lives for the app session, survives
unmount/remount) with a 10-minute TTL:

- on remount within the TTL the cached results are reused, skipping all
  probes; state is lazily initialized from the cache so the first paint
  shows the values with no loading flash
- a stale cache shows the old values immediately and revalidates per
  tool in the background (stale-while-revalidate)
- the Refresh button forces a re-probe; single-tool refreshes (shell
  change / post-update) update cached data without resetting the TTL
- cold-cache entries start at at=0 (a "not yet fully loaded" sentinel)
  so a partial cache left by a mid-probe tab switch is treated as stale
  and re-fetched rather than served as if complete; the real timestamp
  is only stamped once a full load finishes

The app's own version is cached too, purely to avoid a loading flash on
remount.
2026-06-14 21:21:45 +08:00
Jason 780acfa7de fix(about): decouple app version badge from tool version probes
getVersion() is a local, millisecond call but was awaited together with
loadAllToolVersions() in a single Promise.all, so setVersion and
setIsLoadingVersion only fired after all six tool checks finished. The
version badge under the app icon therefore waited for the whole batch.

Split the mount effect into two independent chains: loadAppVersion sets
the app version (and clears its loading flag) the moment getVersion()
resolves, while loadAllToolVersions runs its own progressive fan-out.
The two no longer block each other.
2026-06-14 21:21:45 +08:00
Jason 6bda3b0131 feat(about): render tool version checks progressively per tool
Fan out the six tool version probes concurrently instead of awaiting
one sequential batch, so each tool card updates the moment its own
check finishes rather than waiting for the slowest one.

- loadAllToolVersions now calls refreshToolVersions per tool via
  Promise.all, reusing the existing per-name merge and per-tool
  loading flags
- card loading derives from per-tool state
  (loadingTools[t] || (isLoadingTools && !resolved)) so a resolved
  card leaves loading independently while the batch is still in flight
- WSL shell/flag selects reuse the per-card loading flag, matching the
  install/update buttons' early-enable behavior

This also drops total wall time from the sum of six sequential probes
to the slowest single probe. get_single_tool_version_impl is already
isolated and read-only (shared HTTP client, spawn_blocking subprocess,
no shared state), so concurrent probes are safe.
2026-06-14 21:21:45 +08:00
Jason 89ff2d58d1 fix(usage): improve usage-query resilience and error surfacing
- useUsageQuery: retry once + keep-last-good — show the last successful
  result for up to 10min when a query fails transiently (network/timeout/
  HTTP 5xx), so a single blip no longer flips the card to red. Deterministic
  failures (auth, empty key, unknown provider, 4xx) surface immediately and
  clear the snapshot so a stale quota can't resurface after credentials change.
- bump native balance/coding-plan/subscription request timeouts 10s -> 15s
  for slow cross-border endpoints.
- coding_plan: return explicit errors ("API key is empty" / "Unknown coding
  plan provider") instead of a blank failure, mirroring balance.
- add unit tests for keep-last-good and transient/deterministic classification.
2026-06-14 21:21:45 +08:00
Jason 9a3d6a4e84 feat(about): add Fable 5 Verified banner to About section
Display the Fable 5 Verified banner to the right of the app name and version block on the settings About page, marking this as a special build. Center the version badge under the app name so the two rows share a common axis.

The app-side asset lives at src/assets/fable5-verified.png (imported via the @ alias and bundled by Vite); the original source banner is kept under assets/partners/banners/ alongside the other partner banners.
2026-06-14 21:21:45 +08:00
Jason fee354d09e fix(health-check): disable connectivity check for official providers, restore 6s degraded threshold
Official providers (Claude/Codex/Gemini/Claude Desktop) use OAuth with an intentionally empty base_url and connect via the client's default endpoint, so cc-switch has no reliable reachability target. Probing a guessed endpoint either hits the wrong target or returns a meaningless green light. Hide the connectivity button for category === 'official'; reachability stays available for copilot/codex-oauth/third-party/custom providers, which is where the old real-request probe produced false negatives. Revert the official base_url fallback added earlier — resolve_base_url is back to extract-or-error.

The 1500ms degraded threshold was too strict; normal ~1s probe latencies showed as 'slow'. Restore the original 6000ms scale (default + config panel + per-provider range). Keep the reachability-appropriate 8s timeout / 1 retry.
2026-06-14 21:21:45 +08:00
Jason a5903d8600 feat(health-check): replace real-LLM probe with HTTP reachability check
The provider panel health check sent a real streaming model request, which many third-party providers block (401/403/WAF), causing false negatives while only stable official endpoints passed. Replace it with a lightweight reachability probe: GET the provider base_url and treat any HTTP response (200/4xx/5xx) as reachable; only DNS/connect/TLS/timeout count as failure. Latency is the probe's TTFB.

Backend (services/stream_check.rs): rewrite ~2200 -> ~350 lines, dropping real-request building, format conversion, auth and API-path resolution while keeping per-app base_url extraction. Defaults: 8s timeout, 1 retry, 1500ms degraded threshold.

Failover invariant: the reachability check must never reset the circuit breaker (reachable != usable; a 403 host is reachable but broken for real traffic). Remove the resetCircuitBreaker call from useStreamCheck; failover failure detection stays driven solely by real proxy traffic (forwarder/circuit_breaker untouched). useResetCircuitBreaker is kept dormant for a future manual-recovery entry.

Open the check to all providers: drop the official/copilot/codex-oauth/third-party gating and the 'sends a real request' confirm dialog. For official providers whose base_url is intentionally empty, fall back to the endpoint the client actually uses (Claude -> api.anthropic.com, Codex -> chatgpt.com/backend-api/codex, Gemini -> generativelanguage). Non-official providers with a missing base_url still error to avoid a false green light. Claude Desktop Official is native 1P mode (talks to claude.ai, cc-switch not in the request path, no reliable endpoint) so its button stays hidden.

Slim StreamCheckConfig and per-provider testConfig to timeout/threshold/retries (drop test model + prompt); sync zh/en/ja/zh-TW. Retain the now-unused anthropic_to_openai/anthropic_to_gemini transform utilities and their test suites.
2026-06-14 21:21:45 +08:00
WangJiati b7ad1c4bf8 调整预设供应商按钮外观与搜索框位置 (#4183)
* 调整预设供应商按钮外观与搜索框位置

1. 调整预设供应商按钮外观,显示默认图标,大小统一;
2. 调整预设供应商搜索框位置。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* test(provider): 新增预设按钮外观与 inline 搜索的单元测试

覆盖:
1. 所有预设按钮固定 200px 宽度,视觉对齐一致
2. preset.icon 存在时按钮内渲染 ProviderIcon
3. preset 无 icon 且无 theme.icon 时渲染占位元素保持文字对齐
4. 点击放大镜 inline 切换搜索输入框可见性,ESC 收起并清空

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* refactor(provider-preset): responsive grid layout and search polish

- Replace fixed-width preset buttons with a responsive CSS grid (auto-fill, 150px min column)
- Add a leading placeholder to the custom button so its label aligns with iconed presets
- Close the inline search box on outside click, restoring the old Popover behavior
- Span the empty-state hint across the full grid row
- Update component tests for the new layout and behaviors

---------

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Jason <farion1231@gmail.com>
2026-06-14 18:18:43 +08:00
thisTom 0c46efe1be fix(macos): prevent duplicate provider terminal sessions (#4156)
* fix(macos): prevent duplicate provider terminals

* fix(macos): keep Ghostty fallback on AppleScript failure

---------

Co-authored-by: thisTom <19346741+thisTom@users.noreply.github.com>
2026-06-14 16:55:23 +08:00
Jason 11572b1337 feat(codex): restore Kimi For Coding preset with thinking on by default
The Kimi For Coding preset was removed (74104946) because the coding
endpoint (api.kimi.com/coding/v1) enforces a User-Agent whitelist that
rejects Codex's default codex-cli UA with 403. The provider-level custom
User-Agent feature now lets users override the UA (to claude-cli/*) under
proxy takeover, so the preset can be restored.

- Re-add the Codex Kimi For Coding preset (openai_chat, kimi-for-coding,
  256K context) in the same position it was removed from.
- Enable thinking mode by default via codexChatReasoning (supportsThinking
  true, thinkingParam "thinking"), mirroring the general Kimi preset since
  both target the same Moonshot model family. The proxy injects
  thinking:{type:enabled} when Codex requests reasoning.
- Restore the trilingual user-manual row to "Kimi / Kimi For Coding".

Note: this preset requires proxy takeover and a whitelisted custom
User-Agent to work; the default codex-cli UA still gets 403.
2026-06-13 23:47:27 +08:00
Jason 3bb17434fb test: align preset tests with Kimi K2.7 and Fable model tiers
Update the Codex chat preset test's Kimi expectation (kimi-k2.6 -> kimi-k2.7-code) after the Kimi K2.7 upgrade, update the Claude Desktop form test for the four-tier (Sonnet/Opus/Fable/Haiku) routes, and reformat UsageDateRangePicker imports (prettier).
2026-06-13 23:16:11 +08:00
Jason efbb52a3fc feat(presets): add GLM 5.1 context window for AtlasCloud Codex preset
Declare the 200000-token context window for zai-org/glm-5.1, matching the other GLM 5.1 preset entries.
2026-06-13 23:16:11 +08:00
Jason b37a9e8f60 chore: remove stray nested preset file accidentally committed in #667
cc-switch-main/src/config/universalProviderPresets.ts was an outdated duplicate of the real preset file, introduced by mistake in #667 and referenced by no code. Remove the orphaned nested directory.
2026-06-13 23:16:11 +08:00
Jason 1992d6be72 feat: add Kimi K2.7 Code model and upgrade official Kimi presets
Add kimi-k2.7-code pricing seed (in $0.95 / out $4.00 / cache-read $0.19
per 1M tokens, 256K context) and point all six official Moonshot Kimi
presets (Claude Code, Codex, Claude Desktop, Hermes, OpenCode, OpenClaw)
at the new model. Rename the version-tagged OpenCode/OpenClaw presets to
"Kimi K2.7 Code" and correct the OpenClaw context window to 262144.

The seed is applied via the idempotent INSERT OR IGNORE path that runs on
every startup, so existing users pick up the new pricing without a schema
migration. Kimi For Coding and Nvidia presets are intentionally untouched.
2026-06-13 22:26:36 +08:00
Jason 276b2572a3 fix(providers): scope preset search to provider names only
The preset search text also included websiteUrl and the shared category label, producing imprecise matches: a single category term matched the whole group, and URL fragments like "com"/"api" matched nearly everything. Restrict the search text to the display name and raw name; category labels are still used for rendering.
2026-06-13 22:15:32 +08:00
Jason cd8252c7d9 fix(ui): raise popover/tooltip z-index above fullscreen panels
PopoverContent and TooltipContent used z-50, below FullScreenPanel's z-[60] opaque overlay. Popovers such as the provider preset search therefore rendered behind the panel and looked unresponsive on click. Bump both to z-[100], matching the select dropdown: above fullscreen panels, below modal dialogs (z-[110]).
2026-06-13 22:15:31 +08:00
Jason 526bb60f5c fix(ui): make Claude Desktop model-mapping placeholders role-consistent
The menu display name and request model columns used mismatched example
brands (DeepSeek vs Kimi), implying a display name maps to an unrelated
request model. Derive both placeholders from the row role so each row
stays brand-consistent, and route the lightweight Haiku tier to a flash
example (deepseek-v4-flash) while other tiers use deepseek-v4-pro.
2026-06-13 20:16:09 +08:00
Jason 4f8a79c273 feat: add Claude Fable 5 model mapping across Claude Code and Desktop
- Wire claude-fable-5 as a fourth tier on both proxy paths, with a
  fable -> opus -> default fallback mirroring the official downgrade.
- Whitelist the fable- prefix for the Desktop 1.12603.1+ validator.
- Clarify fallbackModelHint (zh/en/ja/zh-TW): a blank tier on
  third-party endpoints forwards the literal model name and 404s.

Refs #3980, #4026, #4049.
2026-06-13 19:12:34 +08:00
Jason 6e519a7496 fix(usage): compact toolbar controls and unify visual style
- Reduce all four filter controls to w-[100px] h-9
- Add ChevronDown icon to date picker trigger for consistency
- Suppress focus border highlight on select triggers after close
2026-06-12 23:48:41 +08:00
Jason a95b22dd79 fix(ui): keep ToggleRow icon from shrinking next to long descriptions 2026-06-12 23:35:07 +08:00
Jason eab6bfd20c feat(codex): add opt-in migration and ledger-based restore for unified session history
- Enable dialog gains a checkbox (default off) to migrate existing
  official sessions from the built-in "openai" bucket into the shared
  "custom" bucket, with per-generation backups; failed migrations retry
  at startup
- Disable dialog offers a precise restore driven by the backup ledger:
  only sessions recorded as "openai" in backups are flipped back, and
  sessions created while the toggle was on are never touched
- Completion marker and backup generations are bound to the canonical
  Codex config dir; migrate/restore serialize on an op lock and the
  marker is written conditionally inside the settings write lock
- save_settings rolls back the toggle and fails the save when the live
  rewrite fails; migration additionally requires the live config to
  actually route to the shared bucket (skips with live_not_unified so
  refused injection or proxy takeover can't split history)
- Restore refuses to run while the toggle is (re-)enabled and reports
  nothing_to_restore instead of a zero-count success; local migration
  markers are now backend-owned in merge_settings_for_save so stale
  frontend payloads can't resurrect them
- Settings autosave reverts optimistic form state on failure so a
  failed toggle change can't be replayed by an unrelated save
- ConfirmDialog supports an optional checkbox; all four locales updated
2026-06-12 23:35:01 +08:00
Jason 948d762792 feat(codex): add unified session history toggle for official providers
Codex buckets resume history by the model_provider id recorded in each
session: official runs (no key, built-in "openai") and cc-switch
third-party runs (shared "custom") are mutually invisible in the resume
picker. Add an opt-in setting that runs official providers under the
shared "custom" id so future official sessions land in the same history
bucket as third-party ones. Forward-only by design: existing sessions
are not migrated.

When enabled, official live config.toml gets model_provider = "custom"
plus a [model_providers.custom] entry that mirrors the built-in openai
provider (requires_openai_auth routes auth to the ChatGPT login in
auth.json, name "OpenAI" keeps is_openai() feature gates, explicit
supports_websockets/wire_api restore built-in defaults). auth.json is
untouched.

Key invariants:
- Injection lives only in the live config: switch-away backfill strips
  the exact injected shape, so stored provider configs stay clean and
  turning the toggle off fully reverts on the next write.
- Toggle changes apply immediately via a takeover-aware reapply: when
  the proxy owns the live config (backup/placeholder present), only the
  live backup is updated, mirroring the provider-switch path.
- The takeover backup path runs the same injection so a takeover
  release restores a config that still carries the unified routing.
- Injection refuses to activate a foreign [model_providers.custom]
  table (e.g. stale entry with a third-party base_url) to avoid routing
  ChatGPT OAuth traffic to an unknown backend.

The toggle lives under Settings → Codex App Enhancements; the
description warns that resuming old sessions across providers may fail
because encrypted_content reasoning only decrypts on the backend that
created it (upstream treats cross-provider resume as unsupported).
2026-06-12 10:40:51 +08:00
Jason 4f355970e1 chore(presets): remove LemonData provider and demote SudoCode to regular provider
- LemonData: delete the provider preset from all apps (claude, claude-desktop,
  codex, gemini, hermes, opencode, openclaw), remove partner promotion copy
  (zh/en/ja/zh-TW), icon index/metadata entries, sponsor ads in all READMEs,
  and the logo/icon PNG assets.
- SudoCode: drop the isPartner flag and partnerPromotionKey across all app
  presets and remove the now-orphaned partner promotion copy; it stays as a
  regular third_party provider, keeping its icon.
2026-06-11 23:15:11 +08:00
Jason 22ecd2d611 feat(usage): turn refresh interval into a select and align control widths
Replace the click-to-cycle refresh button with a Select matching the
source/model filters. The "off" option now shows a localized label
(zh/en/ja/zh-TW) instead of the cryptic "--", and changing the interval
still invalidates all usage queries for an immediate refresh.

Align the top-bar controls into two width groups: source and model
selects at 120px, refresh select and date range trigger at 150px. The
date range button moves from auto width to fixed, so its long custom
range label gets truncate + hover title, and the calendar icon is
shrink-proofed.
2026-06-11 22:42:26 +08:00
Jason a75f479576 feat(usage): lift provider/model filters to dashboard-wide scope
The provider/model filters only lived inside the request-log table, so
there was no way to see "how much did app X spend on source Y" across
the whole dashboard. Promote them to the top bar next to the app
filter, applying globally to the hero summary, trend chart, request
logs, and both stats tabs.

Backend: the five stats queries (summary, summary-by-app, trends,
provider stats, model stats) accept optional provider_name/model
filters, applied to both the detail and daily-rollup branches (the
rollup PK already carries provider_id/model/pricing_model). Sources
match by exact display name via provider_name_coalesce, so session
placeholder rows like "Claude (Session)" are selectable; models match
by effective pricing model (pricing_model falling back to model), the
same grouping key the model-stats tab uses. Request-log filtering
switches from LIKE to these exact semantics.

Frontend: two truncating dropdowns list only sources/models that have
data in the current range, with the model list cascading from the
selected source. Dynamic option values are prefix-encoded so a source
literally named "all" cannot collide with the sentinel, query keys
fall back to null instead of "all", and the option queries follow the
dashboard refresh interval (otherwise their default 30s polling drags
same-key stats queries along even with refresh disabled). The
request-log filter bar keeps only the log-specific status-code select.
Labels read "sources" rather than "providers" because direct-connect
session buckets sit alongside real providers. i18n updated across
zh/en/ja/zh-TW.
2026-06-11 22:42:26 +08:00
Jason c701068f0c feat(usage): replace app filter text labels with app icons
The text tabs (All / Claude Code / Codex / Gemini / OpenCode) wrapped
awkwardly in narrow windows. Render app icons via ProviderIcon instead,
mirroring AppSwitcher's icon mapping (codex reuses the openai icon),
with a LayoutGrid icon for "all". Localized labels are kept as
title/aria-label on each button.
2026-06-11 22:42:26 +08:00
Jason c7efa77ad9 refactor(usage): fold claude-desktop into claude in the dashboard
The Desktop gateway's proxy traffic is still recorded under its own
app_type for route-takeover billing audit (the request detail panel
shows the real value), but the dashboard now folds it into `claude`
for display. A standalone "Claude Desktop" bucket only ever showed a
partial number: Desktop chat usage never passes through the proxy and
has no scannable local source, while its Code-tab sessions are just the
embedded Claude Code runtime writing into the shared ~/.claude/projects
tree — so a separate bucket misled users into reading it as Desktop's
full usage.

Backend: new `folded_app_type_sql` helper wraps the app_type column in
every dashboard read path (10 filter sites + the by-app projection) so
`= 'claude'` also matches claude-desktop and GROUP BY merges the two,
without changing bound-param counts. Dedup matching and provider-limit
checks keep exact comparison; get_request_logs folds only the WHERE
filter and keeps the raw app_type in its row projection.

Frontend: drop claude-desktop from the dashboard AppType/KNOWN_APP_TYPES
filter list, the UsageHero theme, and the now-dead appFilter locale key
in all four languages (the managed-app apps.claude-desktop label stays).

Adds test_claude_desktop_folds_into_claude_for_display.
2026-06-11 22:42:26 +08:00
codeasier 2d64d8c619 fix(proxy): preserve Codex OAuth auth token on takeover (#3789)
* fix(proxy): preserve Codex OAuth auth token on takeover

* style(proxy): format Codex OAuth takeover fix

* fix(proxy): unconditionally inject AUTH_TOKEN placeholder for codex takeover

The preserve-if-exists condition left #3784 unfixed on three paths:
hot-switch passes the provider's settings (presets carry no
ANTHROPIC_AUTH_TOKEN key), fresh installs never had the key, and live
configs already stripped by older releases stay stripped.

- Fold the bool parameter into the policy enum as
  ManagedAccount { keep_auth_token } so every construction site
  declares intent
- Decide via !is_github_copilot() within the managed branch so
  URL-only codex providers (no provider_type meta) are covered,
  matching the predicate family used for policy selection
- Inject the placeholder unconditionally instead of only when the
  key pre-exists; Copilot behavior is unchanged (API_KEY only)
- Pin the previously uncovered cases with tests: codex without a
  pre-existing key, URL-only codex, and Copilot removing a stale
  AUTH_TOKEN

---------

Co-authored-by: codeasier <liuyekang@huawei.com>
Co-authored-by: Jason <farion1231@gmail.com>
2026-06-11 22:21:42 +08:00
osscv d70e3828fe Add claude-mythos-5 model to schema (#4077)
Insert a new 'claude-mythos-5' model tuple into src-tauri/src/database/schema.rs. The tuple ("claude-mythos-5", "Claude Mythos 5", "10", "50", "1.00", "12.50") is added to the models list (placed before the Claude 4.8 series) to register the Mythos 5 model with the Database schema.
2026-06-11 21:53:11 +08:00
Jason Young 7bb59fa5a6 fix(proxy): harden takeover-residue recovery across config-dir switches (#4076)
Changing app_config_dir relocates the SQLite database, so a restart
triggered while proxy takeover is active used to strand the live
configs: the new instance reads a fresh DB with no live backups, the
first-run import then persisted the PROXY_MANAGED placeholder as the
`default` provider, and the no-backup recovery path wrote that
placeholder right back to the live files — leaving Claude/Codex/Gemini
pointed at a dead local proxy with no automatic way out.

Three orthogonal fixes, defense in depth:

- restart_app now awaits cleanup_before_exit() before app.restart().
  Since #4069 the ExitRequested handler intentionally defers restart
  requests to Tauri's default re-exec without custom cleanup, which is
  correct for same-DB restarts but not for this command's dir-change
  use case: only the old instance holds the backups needed to restore
  the taken-over live files, so it must restore them while its event
  loop is still alive.
- import_default_config refuses to import a live config that is under
  proxy takeover (placeholder detected), instead of persisting it as
  the current provider.
- restore_live_from_ssot_for_app validates that the current provider's
  settings_config does not itself contain takeover placeholders before
  writing it back; polluted SSOT now falls through to the placeholder
  cleanup fallback.

Regression tests cover the import guard and the no-backup recovery
path (the latter fails before this change by writing PROXY_MANAGED
back to live).
2026-06-11 21:32:24 +08:00
Jason Young 4f3e85fcd1 fix(updater): drive download/install/restart from backend to avoid hang (#4074)
* fix(updater): drive download/install/restart from backend to avoid hang

The 3.16/3.16.1 update flow was frontend-driven: downloadAndInstall()
then relaunchApp(). relaunch() routed through AppHandle::restart(), and
the old WebView had to keep running JS after the .app bundle was already
swapped — an unstable window that could hang the update or leave the old
version running until a manual restart.

Move the whole download -> install -> cleanup -> restart chain into a new
backend command install_update_and_restart, so it no longer depends on the
old WebView running JS after the bundle is swapped.

Platform-aware install ordering (install() behaves differently per OS):
- Windows: install() launches the external installer and exits the process
  internally, so cleanup + single-instance destroy must run before install.
  Surface a recovery hint on failure since the proxy may already be stopped.
- macOS/Linux: install() returns, so install first then cleanup — an install
  failure no longer wrongly stops the proxy / reverts takeover.

Eliminate the restart vs single-instance race: restart_process() destroys
the single-instance lock (remove socket on macOS, ReleaseMutex on Windows)
before tauri::process::restart(), so the freshly spawned process can't
connect to the old listener and exit itself.

Also remove the now-dead frontend update plumbing (relaunchApp,
UpdateHandle, mapUpdateHandle) and surface backend errors in the toast.

Adapted from the original af4271f4 while rebasing onto #4069: the
ExitRequested handler changes were dropped entirely — the classifier from
#4069 already routes RESTART_EXIT_CODE to Tauri's default restart flow,
and the original should_restart branch (prevent_exit + async cleanup)
would have reintroduced the window-state deadlock that #4069 fixed.
install_update_and_restart bypasses ExitRequested entirely, so the two
fixes compose cleanly.

* fix(updater): clear tray icon on the direct-restart update path

restart_process re-execs via tauri::process::restart (spawn + exit(0)),
which skips Tauri's internal cleanup_before_exit and all RunEvent::Exit
plugin hooks. Window state, proxy/live restore and the single-instance
lock were already compensated explicitly; the tray icon was not.

On macOS/Linux the OS drops the status item when the process dies, so
the gap there was cosmetic at most. The real residue risk is the
Windows branch, which never reaches restart_process at all:
update.install() exits the process inside the updater plugin
(std::process::exit(0)), bypassing TrayIcon::drop — no NIM_DELETE is
sent and a stale icon lingers in the shell until hovered, the same
failure remove_tray_icon_before_exit was originally added for on the
quit path.

Call remove_tray_icon_before_exit (set_visible(false), proxied to the
main thread via run_item_main_thread) in restart_process and before
the Windows install. Deliberately not AppHandle::cleanup_before_exit():
it drops tray icons on the calling thread, which is not safe off the
main thread on macOS (NSStatusItem).
2026-06-11 21:30:02 +08:00
thisTom a3598fd976 fix: prevent deadlock when relaunching after in-app update (#4069)
The updater's relaunch() (and app.restart()) triggers ExitRequested
with code RESTART_EXIT_CODE, which the handler treated as a regular
exit: it called api.prevent_exit() and spawned an async cleanup task.

However Tauri silently ignores prevent_exit() for restart requests
(see ExitRequestApi::prevent_exit docs), so the event loop keeps
shutting down regardless and fires every plugin's RunEvent::Exit hook.
Two threads then deadlock:

- the spawned cleanup task runs save_window_state on a tokio worker,
  holding the window-state plugin's internal mutex while querying
  window geometry, which dispatches to the main thread and blocks;
- the main thread, already inside the plugin's own RunEvent::Exit
  hook, blocks on that same mutex.

The app freezes forever on the restarting screen with the update
already installed; force-quit + reopen comes back on the new version
(#3998). Confirmed on macOS by sampling the frozen process: main
thread parked in tauri_plugin_window_state save_window_state mutex
lock, tokio worker parked in is_maximized -> mpsc recv.

Fix: classify exit requests (None / restart / user exit) and let
restart requests fall through untouched to Tauri's default restart
flow (RunEvent::Exit -> re-exec). On that path window state is saved
by the plugin's exit hook on the main thread, the tray icon is
cleaned up by Tauri's internal cleanup_before_exit, and proxy/live
config restore is unnecessary because the new instance takes over
immediately. The regular exit path (tray quit) is unchanged.

With the fix, a simulated updater relaunch (request_restart) re-execs
the new process in under 200ms, 3/3 runs; normal quit still performs
full cleanup.

Co-authored-by: thisTom <19346741+thisTom@users.noreply.github.com>
2026-06-11 17:24:06 +08:00
Peng Steam c1aa6c3917 feat(providers): add preset search and sorting (#3975) 2026-06-11 17:14:53 +08:00
Jason daa5595f36 feat(presets): add Unity2.ai partner provider across seven apps
Add Unity2.ai, a high-performance AI API relay partner, as a preset for
Claude, Codex, Gemini, OpenCode, OpenClaw, Claude Desktop, and Hermes.
Each preset carries the referral signup link as apiKeyUrl.

- Register the unity2 icon via iconUrls (PNG URL import) + metadata
- Add partnerPromotion copy in zh/en/ja/zh-TW; backfill the missing
  zh-TW ccsub entry
- List Unity2.ai in the sponsor section of all README locales
- Codex uses the bare base URL (gateway exposes /responses at root);
  OpenCode/OpenClaw/Hermes use the /v1 chat-completions endpoint with
  gpt-5.5 as the only preset model
- Trim CCSub OpenCode/OpenClaw/Hermes model lists to gpt-5.5 to match
- Normalize unity2/ccsub banners to the standard 2.41 aspect ratio
2026-06-11 11:05:32 +08:00
Jason 819c2e5dfe chore: ignore AGENTS.md alongside CLAUDE.md
Suggested in #4015.
2026-06-11 08:43:33 +08:00
Jason a6d718d0fc fix(proxy): aggregate mislabeled SSE bodies in transform fallback (#2234)
The Claude/Codex format-transform non-stream branch returned an opaque 422
"Failed to parse upstream response" whenever a 2xx upstream body was not
valid JSON. The common case: MaaS gateways force-stream a stream:false
request and return an SSE body with a non-SSE Content-Type, defeating the
header-only is_sse() check.

On serde failure, sniff for SSE and aggregate the chunks into a single
JSON, then run the existing converter so clients still receive a valid
non-stream response.

- chat_sse_to_response_value: aggregate chat.completion.chunk SSE
  (content / reasoning / refusal / tool_calls / legacy function_call),
  tool_calls index-keyed via BTreeMap to avoid unbounded densification,
  first-wins finish_reason, message-snapshot override, completeness and
  error-event guards; synthesize an id when the upstream omits one
- responses_sse_to_response_value: process the residual trailing block,
  tolerating truncation and skipping it once a completed event was seen
- enrich remaining parse failures with content-type / content-encoding /
  body-snippet diagnostics
- deflate: try zlib (RFC 9110) before raw; keep the content-encoding
  header for unsupported encodings
- gate zero-usage rows on the Claude transform path
2026-06-11 08:29:29 +08:00
Jason e776160912 feat(provider-form): consolidate codex form into advanced options section
- Fold local routing toggle, model mapping, reasoning overrides and custom
  User-Agent into a single collapsible advanced section, mirroring the
  Claude form (auto-expands when UA is set or local routing is enabled)
- Custom User-Agent becomes configurable for native Responses providers;
  it was previously reachable only when openai_chat routing was on
- Collapsed hint names local routing as the entry point for Chat
  Completions / non-GPT providers
- Backfill all missing codexConfig keys in zh-TW locale
2026-06-11 08:29:29 +08:00
Jason 596019505f feat(provider-form): custom User-Agent presets dropdown in advanced settings
Polish the provider-level User-Agent override UI on the Claude and Codex forms.

- Add a shared CustomUserAgentField (label + input + preset dropdown + live
  validation) so both forms stay in sync.
- Provide curated UA presets (Claude Code / Kilo Code families that pass
  coding-plan UA whitelists per #3671); the first is Claude Code's real
  `claude-cli/x (external, cli)` format. Whitelists gate on the name prefix,
  not the version, so static values stay valid across upgrades.
- Expose presets via a dropdown to the right of the input (z-[200] so it
  renders above the dialog layers) instead of inline chips.
- Move the field into the existing advanced/reasoning collapsibles.
- userAgent.ts mirrors the backend byte rule (reject only control chars;
  non-ASCII is allowed) for a non-blocking inline hint.
- i18n for all four locales (zh/en/ja/zh-TW).
2026-06-11 08:29:29 +08:00
Jason 8b925c2f2f feat(proxy): honor custom User-Agent across stream check and model fetch
Extract a shared `parse_custom_user_agent` helper in provider.rs returning
`Result<Option<HeaderValue>>`, and reuse it in the forwarder, stream check,
and model fetch paths so detection, forwarding, and model listing all apply
the same provider-level User-Agent. Previously only the forwarder honored it,
so stream check could fail (or model listing 403) on UA-gated upstreams that
the proxy itself handled fine.

- stream_check injects the provider's custom UA on the claude/codex paths and
  still skips the GitHub Copilot fingerprint UA.
- model_fetch service + command and the model-fetch.ts wrapper thread an
  optional UA through to GET /v1/models.
- runtime callers silently ignore invalid values via `.ok().flatten()`
  (no save-time block, so deeplink imports stay lenient).
2026-06-11 08:29:29 +08:00
RoromoriYuzu 25983f3420 fix: omit customUserAgent when provider category is official
Stale custom UA values from non-official presets were persisted even
after switching to an official preset, silently altering request headers.
2026-06-11 08:29:29 +08:00
RoromoriYuzu ff706e9e96 feat: add provider user agent override 2026-06-11 08:29:29 +08:00
Jason e8b07cb2a5 feat(usage): claude-desktop filter and pricing-model audit display
- add claude-desktop to AppType/KNOWN_APP_TYPES and the dashboard app
  filter; it was hidden because its rows looked like pure failure
  noise, which was the app_type attribution bug fixed on the backend
- request detail panel now shows the requested model and the pricing
  model when they differ from the response model, making route-takeover
  bills auditable from the UI
- locale keys added for zh/en/ja/zh-TW
2026-06-11 08:29:29 +08:00
Jason feea81e5bb fix(proxy): bill route-takeover traffic by the real upstream model
The model mapped for takeover (env mapping, Claude Desktop routes,
Copilot normalization, Codex chat override) was discarded inside the
forwarder, so usage attribution depended entirely on the upstream
echoing it back. When the upstream omitted the model or mirrored the
client alias, kimi/glm tokens were recorded and priced as claude-*
(roughly 5-25x overstatement).

- capture the final outbound model in forward(), return it via
  ForwardResult, and store it on the request context
- attribution fallback order is now: upstream echo (empty string
  treated as missing) -> outbound model -> client-requested model
- 'request' pricing mode anchors to the outbound model instead of the
  pre-mapping client alias; unchanged when no mapping applies
- persist the resolved pricing_model on every usage row
- Claude Desktop rows now log app_type "claude-desktop" on streaming
  and transform paths too (was hardcoded "claude", silently dropping
  desktop provider pricing overrides and splitting the cost basis by
  the stream flag); its global pricing defaults inherit the claude
  config since proxy_config only allows claude/codex/gemini rows
2026-06-11 08:29:29 +08:00
Jason 4282856683 feat(usage): persist pricing basis and takeover dimensions in storage (schema v11)
- proxy_request_logs: add pricing_model column recording the basis actually
  used at write time (NULL = pre-v11 rows, '' = unpriced error rows)
- cost backfill recomputes strictly by the persisted basis; the
  request_model fallback now only applies to placeholder models, so
  real-but-unpriced takeover rows stay at zero cost until pricing is
  added instead of being permanently frozen at the alias's price
- backfill_missing_usage_costs_for_model can locate rows by pricing_model
- usage_daily_rollups: rebuild with request_model + pricing_model in the
  primary key so the alias-to-real-model mapping and the pricing basis
  survive the 30-day prune; legacy rows migrate with ''
- rollup_and_prune backfills costs before pruning: prune is irreversible
  and used to run before the startup backfill, permanently booking
  then-unpriced rows as zero
- get_model_stats groups by the effective pricing model
  (COALESCE(NULLIF(pricing_model,''), model)) so costs aggregate under
  the model whose prices produced them; response-mode behavior unchanged
2026-06-11 08:29:29 +08:00
Jason 65d6929993 fix(coding-plan): classify Zhipu quota windows by unit field instead of reset-time order (#3036)
The Zhipu quota API returns two TOKENS_LIMIT entries whose identity was
inferred by sorting nextResetTime ascending (nearest = five_hour). In the
last hours of each weekly cycle the weekly window resets sooner than the
current 5-hour session window, so the two buckets were swapped exactly
when users check their weekly quota most.

Classify by the explicit unit field instead (3 = hour window -> five_hour,
6 = week window -> weekly_limit; same shape on bigmodel.cn and api.z.ai,
weekly observed with number 7 and 1 so only unit is matched), falling back
to the old reset-time heuristic when the field is missing.
2026-06-11 08:29:29 +08:00
Jason 1ca01bcd10 feat(usage): refresh model pricing seed — add Fable 5 + 8 models, fix 28 prices
Full audit of seed_model_pricing against current official vendor pricing.

New models: claude-fable-5 (10/50), grok-4.3, step-3.7-flash,
mistral-medium-3.5, mistral-small-4, devstral-small-2-2512, magistral-small,
qwen3.7-max, qwen3.7-plus.

Price fixes (Chinese vendors standardized on official list price, CNY/~7.14):
- GLM 4.6/4.7 -> Z.ai official 0.6/2.2/0.11 (were reseller/OpenRouter rates)
- Grok 4.20 reasoning/non-reasoning -> 1.25/2.50 (xAI price cut)
- MiMo v2.5 / v2.5-pro / v2-pro -> post-2026-05-27 rates + cache
- Doubao Seed 2.0 lite corrected + cache-hit prices across the family
- Kimi k2.5 output 3.00, MiniMax m2.5 input 0.15, Mistral devstral-2 output 2
- Qwen 3.5/3.6-plus + coder-plus/flash cache_read (official 20%-of-input rule)

Each fix updates the seed value (fresh installs) and adds an old->new guard to
repair_current_model_pricing (existing DBs; won't clobber user-edited rows).
2026-06-11 08:29:29 +08:00
Jason bc01f44514 feat(usage): app-aware hero icon and neutral Codex theme
- Replace the fixed Zap glyph in the usage hero with the selected app's
  brand icon via a new AppGlyph component, reusing APP_ICON_MAP
  (cloneElement scales 14px -> 20px); falls back to Zap for the "all" view.
- Recolor the Codex title theme from emerald to neutral gray to match
  OpenAI's monochrome branding. neutral-500/10 stays visible in both
  light and dark modes, unlike a flat black tint.
2026-06-11 08:29:29 +08:00
Jason 3390fe7ea0 fix(proxy): extend image rectifier to Codex /responses text-only path
Codex /responses requests routed to text-only OpenAI-chat upstreams
(e.g. DeepSeek deepseek-v4-flash) failed with HTTP 400 "unknown variant
image_url" when images were sent: the responses->chat conversion turns
input_image items into image_url blocks the model rejects. The media
rectifier previously covered only the Claude adapter, so neither the
proactive strip nor the reactive retry fired for Codex.

- media_retry_should_trigger: accept "Codex" adapter, not just "Claude"
- contains_image_blocks / replace_images: also scan responses `input`
  (input_image) in addition to chat `messages`
- is_image_block_type: match image | image_url | input_image
- is_unsupported_image_error: add "unknown variant" hint for the
  deserialize error
- forward(): proactively run apply_media_prevention for Codex after the
  responses->chat conversion

Proactively strips images for known text-only models (heuristic on by
default) and reactively retries with images replaced on upstream
image-unsupported errors. Adds tests for chat image_url, codex
input_image, the reactive trigger, and the deserialize error match.
2026-06-11 08:29:29 +08:00
Jason cb01593f7d fix(proxy): exclude cache_read and cache_creation from input on Claude←OpenAI paths
Builds on #2774 (which fixed cache_read for the streaming openai_chat path).
Two gaps remained, both double-counting cache tokens when a Claude client
meters as app_type="claude" (input_includes_cache_read=false):

1. cache_read was still added to input on the non-streaming openai_chat path
   (transform.rs openai_to_anthropic) and the whole openai_responses family
   (transform_responses.rs build_anthropic_usage_from_responses, covering the
   non-streaming call site and both streaming_responses call sites).

2. cache_creation was never subtracted on any converted path, including the
   streaming openai_chat path #2774 had already touched. Claude billing treats
   cache_creation as a separate bucket, so an inclusive upstream carrying a
   direct cache_creation_input_tokens field billed it twice.

All four metering points now compute:
  input = prompt_tokens - cache_read - cache_creation
restoring the invariant input + cache_read + cache_creation == prompt_tokens.
Pure OpenAI upstreams are unaffected (no cache_creation concept/field).

Tests: update direct-cache assertions (40->20), add a streaming conservation
regression test, and pin prompt<cache underflow (saturating clamp to 0) for all
three metering functions. cargo test 1573 pass, clippy clean.

Note: fix is forward-only; historical rows are not recomputed (cost is frozen at
log time and app_type="claude" mixes native + converted rows).
2026-06-11 08:29:29 +08:00
Jason 36a103bbe4 fix(proxy): correct usage accounting on format-conversion paths
Audited all proxy format-conversion paths (Chat<->Message, Chat<->Response,
Gemini<->Message) for usage/cache metering. Five issues found and fixed.
The dedup mechanism (request_id PK, proxy/session source isolation) is
untouched, so no double-counting is introduced.

- A (Claude + openai_chat, streaming): inject stream_options.include_usage
  so OpenAI-compatible upstreams emit usage in the SSE tail. Without it the
  converted Anthropic message_delta was all-zero and the whole request's
  input/output/cache was dropped. Same root cause as the already-fixed
  Codex Chat path; the injection is extracted into a shared helper
  (transform::inject_openai_stream_include_usage) reused by both paths.

- C (Claude + gemini_native): subtract cachedContentTokenCount from
  input_tokens in build_anthropic_usage so input becomes fresh input
  (Anthropic semantics). Previously the cache-hit tokens were billed twice
  because this path meters as app_type="claude" (input_includes_cache_read
  = false) while Gemini's promptTokenCount includes the cache.

- D (Codex + openai_chat, streaming): gate log_usage on
  has_billable_tokens() to skip the synthetic all-zero usage the converter
  emits when a non-compliant upstream omits usage, preventing empty-row
  request-count inflation.

- P2 (from_claude_stream_events): use has_billable_tokens() for the return
  gate instead of input>0||output>0, so a fully-cached streamed request
  (cache_read>0, input==output==0) is still recorded. Affects all
  Claude-streaming paths, not just Gemini.

- P3 (Codex Chat->Responses, non-streaming): apply the same
  has_billable_tokens() filter the streaming branch got, since the
  synthesized all-zero usage makes from_codex_response return Some and
  bypass the `if let Some` guard.

Add TokenUsage::has_billable_tokens() as the unified predicate. New tests
cover include_usage injection, gemini input subtraction, the gate itself,
cache-only stream recording, and synthetic all-zero codex usage.
Full lib suite: 1569 passed.
2026-06-11 08:29:29 +08:00
Jason 05bc14e82b fix(usage): import billable session messages without stop_reason
The local session-log scanner dropped any assistant message that lacked
a stop_reason or had output_tokens==0. Claude Code Workflow / sub-agent
fan-out frequently produces messages that only wrote a message_start
snapshot (output=1, stop_reason=None) without a final block, yet their
input + cache_read + cache_creation tokens are already billed by
Anthropic (charged once the request is accepted). Dropping them
under-counted usage by ~4.1% overall, 92% concentrated in
workflow/subagent transcripts.

Replace the stop_reason/output gate with a billable-token check (any of
input/output/cache_read/cache_creation > 0). The per-message-id dedup
selection is unchanged, and request_id = "session:"+msg_id PRIMARY KEY
with INSERT OR IGNORE keeps each message single-inserted, so relaxing
the gate cannot double-count. Add a regression test covering a
stop_reason-less message with real cache cost plus an all-zero skip.

This is the parser-layer half of the Workflow under-counting fixed at
the collector layer in 8d332925.
2026-06-11 08:29:29 +08:00
Jason 0396cd5491 fix(usage): count Claude Code Workflow sub-agent token usage
collect_jsonl_files only walked <project>/<session>/subagents/*.jsonl,
so it missed Workflow sub-agent transcripts which live one level deeper
at subagents/workflows/wf_*/agent-*.jsonl. As a result all Workflow
token usage was invisible to the no-proxy session-log accounting.

Descend into subagents/workflows/wf_*/ as well, via a new
push_jsonl_children helper that keeps the fixed-depth, no-recursion
design. journal.jsonl carries no assistant rows so it is skipped at
parse time and needs no filename special-casing. Existing dedup
(request_id PK + INSERT OR IGNORE + should_skip_session_insert) keeps
the next sync's backfill idempotent.

Add test_collect_jsonl_files_includes_workflow_subagents.
2026-06-11 08:29:29 +08:00
Jason f97347fe6e docs(release): restore contributor mentions in release notes 2026-06-11 08:29:29 +08:00
pa001024 9ea303b224 fix: usage script provider credential resolution (#1479)
The JS-script usage path resolved {{apiKey}}/{{baseUrl}} with env-only
field guessing, so apps that store credentials elsewhere (Codex:
auth.OPENAI_API_KEY + config.toml base_url) always got empty values and
custom-template queries failed despite a fully configured provider.

- query_usage / test_usage_script now delegate to
  Provider::resolve_usage_credentials, the same per-app resolver used by
  the native balance/coding-plan path and mirrored by the frontend
  getProviderCredentials; explicit non-empty script values still win
- test_usage_script loads the provider and applies the same fallback,
  so testing matches what a saved script does
- the custom-template variable preview shows the effective values
  (script overrides first, then provider config) instead of always
  showing provider credentials
- extract_codex_base_url documents and test-locks the frontend-mirror
  invariant: non-active [model_providers.*] sections are never read

Reworked from the original patch to reuse the existing resolver instead
of duplicating per-app extraction.

Co-authored-by: Jason <farion1231@gmail.com>
2026-06-10 22:57:27 +08:00
que3sui 4f911727d2 fix: prevent duplicate YAML keys in Hermes config (#3267)
* fix: prevent duplicate YAML keys in Hermes config

Three changes in hermes_config.rs:
1. deduplicate_top_level_keys() - scan and remove duplicate top-level
   keys before YAML parsing, preventing "duplicate entry" parse errors
2. remove_all_sections() - helper to strip all occurrences of a given
   top-level key from raw YAML text
3. replace_yaml_section() now calls remove_all_sections() on the
   remainder after replacing the primary occurrence, preventing
   duplicate sections from accumulating on repeated writes

Fixes the issue where mcp_servers (or any top-level key) gets
duplicated in config.yaml, causing "Failed to parse Hermes config
as YAML: duplicate entry with key" errors.

Co-Authored-By: que3sui <204201112+que3sui@users.noreply.github.com>

* fix: handle CRLF and LF line endings in top-level key deduplication

is_top_level_key_line only accepted empty, space, or tab after the colon,
but deduplicate_top_level_keys uses split_inclusive('\n'), so lines end
with \n (LF) or \r\n (CRLF). Without accepting \r and \n as valid
post-colon characters, the dedup safety net never activates.

Add \r and \n checks to is_top_level_key_line, and three tests covering
LF, CRLF, and first-occurrence preservation.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* refactor(hermes): keep last occurrence when healing duplicate YAML keys

Reworks the healing layers on top of the CRLF root-cause fix:

- deduplicate_top_level_keys: keep the LAST occurrence of each duplicated
  key instead of the first. Duplicates come from section replacement
  degrading into appends (#3633), so the last block is the newest data --
  and Hermes itself reads the config with PyYAML, whose duplicate-key
  semantics are last-wins. Keeping the first occurrence would silently
  roll users back to stale config and diverge from what Hermes runs with.
  Healthy files take a fast path and are returned untouched.
- Drop the unused dup_key variable (fails cargo clippy -- -D warnings,
  which CI enforces).
- replace_yaml_section: clean residual duplicate sections from the
  remainder via remove_all_sections; values come from the keep-last
  healed read, so dropping all stale on-disk copies loses nothing.
- Add regression tests for the actual root cause (find/replace on CRLF
  input must replace in place, not append), keep-last semantics,
  identity on healthy files, end-to-end heal-then-parse, and duplicate
  cleanup on write.

Fixes #3633 #2973 #2529 #3310 #3762

---------

Co-authored-by: que3sui <204201112+que3sui@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Jason <farion1231@gmail.com>
2026-06-10 21:42:54 +08:00
LaoYueHanNi edc597ab23 修复 Completions转Anthropic时不记录实际返回模型、Input token记录错误问题 (#2774)
* fix(proxy): 修复completions转claude格式流式响应未记录实际命中模型

* style: cargo fmt fix

* fix(proxy): 修复completions转claude格式时input与cache_read重复计费

* fix(proxy): 修复完全缓存命中时input_tokens计算错误

* test: 更新input_tokens期望值匹配去重逻辑
2026-06-09 20:30:05 +08:00
138 changed files with 11305 additions and 4240 deletions
+1 -1
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@@ -8,7 +8,7 @@ release/
*.tsbuildinfo *.tsbuildinfo
.npmrc .npmrc
CLAUDE.md CLAUDE.md
# AGENTS.md AGENTS.md
GEMINI.md GEMINI.md
/.claude /.claude
/.codex /.codex
+57
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@@ -5,6 +5,63 @@ All notable changes to CC Switch will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [3.16.3] - 2026-06-14
Development since v3.16.2 focuses on getting usage accounting right end-to-end — billing route-takeover and format-conversion traffic by the real upstream model and pricing basis (schema v11), counting Claude Code Workflow sub-agent sessions, folding Claude Desktop into the Claude view, refreshing the model pricing seed, and reworking the usage dashboard with global provider/model filters, brand-icon toolbars, and far more resilient quota queries — while hardening the proxy (mislabeled SSE bodies, Codex image rectification, OAuth token and takeover-residue recovery, Hermes duplicate YAML keys), reworking provider configuration (a custom User-Agent override, a unified Codex advanced section, searchable preset selection, a Fable 5 tier, and refreshed Kimi/Unity2/Volcengine/MiniMax presets), and smoothing the update, About-panel, and provider-health experiences.
**Stats**: 59 commits | 130 files changed | +10,223 insertions | -4,232 deletions
### Added
- **Custom User-Agent Override**: Provider configs can now set a custom User-Agent that the proxy applies consistently across request forwarding, stream check, and model listing (`GET /v1/models`), so coding-plan upstreams that gate on UA no longer fail detection or return 403 while the proxy itself works. The Claude and Codex forms expose it in advanced settings with a curated presets dropdown (Claude Code / Kilo Code families that pass UA whitelists) and live non-blocking validation; stale custom UAs are dropped when switching to an official preset to avoid silently altering headers (#3671).
- **Unified Codex Session History**: Official Codex sessions can now share a single resume-history bucket with cc-switch third-party sessions via an opt-in toggle under Settings → Codex App Enhancements, so the resume picker no longer hides them from each other. When enabled, the live `config.toml` routes official runs through a shared `custom` model_provider that mirrors the built-in OpenAI provider (`auth.json` is untouched); the toggle is forward-only by default but the enable dialog offers a checkbox to migrate existing official sessions (with per-generation backups), and the disable dialog offers a precise ledger-based restore that only reverts sessions originally recorded as `openai` while leaving sessions created during the toggle untouched.
- **Dashboard-Wide Provider/Model Filters**: The provider and model filters move from inside the request-log table up to the top bar, applying globally to the hero summary, trend chart, request logs, and both stats tabs so you can scope the whole dashboard to a given source and model. Sources match by exact display name (so session placeholder rows like "Claude (Session)" are selectable) and models match by effective pricing model, with the model dropdown cascading from the selected source and both lists showing only options that have data in the current range.
- **Refreshed Model Pricing Seed**: Added pricing for 9 models including Claude Fable 5, Grok 4.3, Mistral Medium 3.5 / Small 4, and Qwen 3.7 Max/Plus, and corrected 28 existing prices against current official vendor list pricing (GLM, Grok, MiMo, Doubao, Kimi, MiniMax, Mistral, Qwen) so usage cost estimates are accurate. Each change updates the seed for fresh installs and adds a guarded repair for existing databases without clobbering user-edited rows.
- **Claude Fable 5 Model Tier**: Provider forms now expose `claude-fable-5` as a fourth model-mapping tier on both the Claude Code and Claude Desktop proxy paths, with a fable → opus → default fallback mirroring the official downgrade and the `fable-` prefix whitelisted for the Desktop 1.12603.1+ validator. A clarified four-language fallback hint warns that leaving a tier blank on third-party endpoints forwards the literal model name and 404s (#3980, #4026, #4049).
- **Unity2.ai Partner Provider**: Added Unity2.ai, an AI API relay partner, as a preset across all seven managed apps (Claude Code, Codex, Gemini, OpenCode, OpenClaw, Claude Desktop, Hermes), each carrying the referral signup link and partner promotion copy in all four locales. Codex uses the bare base URL (the gateway exposes `/responses` at root) while OpenCode / OpenClaw / Hermes use the `/v1` chat-completions endpoint with `gpt-5.5`.
- **Kimi K2.7 Code Model**: Added the `kimi-k2.7-code` model (in $0.95 / out $4.00 / cache-read $0.19 per 1M tokens, 256K context) and pointed all six official Moonshot Kimi presets (Claude Code, Codex, Claude Desktop, Hermes, OpenCode, OpenClaw) at it, renaming the OpenCode / OpenClaw presets to "Kimi K2.7 Code". The pricing seed applies on startup via the idempotent insert path, so existing users pick up the new pricing without a migration.
- **Codex "Kimi For Coding" Preset Restored**: Re-added the Codex "Kimi For Coding" preset (`openai_chat`, `kimi-for-coding`, 256K context) with thinking mode enabled by default; it was previously removed because the coding endpoint rejects Codex's default `codex-cli` User-Agent with 403. It now works via proxy takeover combined with the custom User-Agent override (set to a whitelisted UA such as `claude-cli/*`).
- **Pricing-Model Audit in Request Detail**: The request detail panel now shows the requested model and the pricing model when they differ from the response model, making route-takeover bills auditable directly from the usage UI.
- **Preset Provider Search & Sorting**: The provider preset selector gains a searchable, sorted list with an inline search box (toggled via a magnifier icon, dismissed on ESC or outside click). Buttons use a responsive grid with consistent sizing and default icons, and search matches only provider display/raw names so URL fragments and shared category labels no longer produce noisy matches (#3975, #4183).
- **Claude Mythos 5 Pricing**: Registered the `claude-mythos-5` model in the bundled model/pricing table (in $10 / out $50 per 1M tokens, cache read $1.00, cache write $12.50), so usage metering prices and displays it correctly (#4077).
- **Fable 5 Verified Banner**: The Settings About page now displays a Fable 5 Verified banner beside the app name and version, marking this as a special build, with the version badge centered under the app name.
### Changed
- **Claude Desktop Usage Folded Into Claude**: The dashboard no longer shows a standalone "Claude Desktop" bucket, which only ever displayed a partial number (Desktop chat usage never passes through the proxy and its Code-tab sessions write into the shared `~/.claude/projects` tree). Desktop proxy traffic is now folded into the `claude` view for display while still recorded under its own `app_type` for route-takeover billing audit, with the real value visible in the request detail panel.
- **Lightweight Provider Health Check**: The provider health check no longer sends a real streaming model request (which many third-party providers blocked with 401/403/WAF, causing false negatives); it now performs a lightweight HTTP reachability probe of the provider `base_url`, treating any HTTP response as reachable and counting only DNS/connect/TLS/timeout as failure. The connectivity button is hidden for official providers (which use OAuth with an empty base URL and no reliable reachability target), the real-request confirmation dialog and test model/prompt fields are removed, and the degraded-latency threshold is set to 6s with an 8s timeout. The reachability check never resets the circuit breaker, so failover detection stays driven solely by real proxy traffic.
- **Codex Advanced Options Section**: The Codex provider form now folds local routing, model mapping, reasoning overrides, and custom User-Agent into a single collapsible advanced section mirroring the Claude form (auto-expanding when a UA is set or local routing is on). Custom User-Agent is now also configurable for native Responses providers, where it was previously reachable only with `openai_chat` routing enabled.
- **Usage Toolbar Refresh and Layout**: The app filter now renders brand icons (via ProviderIcon, with a grid icon for "All") instead of text tabs that wrapped awkwardly in narrow windows, and the usage hero shows the selected app's brand icon with Codex recolored to a neutral gray matching OpenAI's monochrome branding. The click-to-cycle refresh button becomes a Select with a localized "off" label, and the top-bar controls are compacted and aligned into consistent width groups with truncated long date-range labels.
- **Faster About Panel Loading**: The Settings About panel now loads progressively: the app version badge appears the instant it resolves instead of waiting for tool probes, each tool card updates the moment its own version check finishes (probes run concurrently rather than sequentially), and results are cached for the app session with a 10-minute TTL so reopening the About tab reuses cached values and revalidates stale ones in the background instead of re-probing all six tools every time.
- **Volcengine Ark Coding Plan Promo**: Updated the Volcengine Ark preset across all six apps with the new Coding Plan invite link (replacing the old Agent Plan / activity links) and refreshed the partner promotion copy in all four locales (two-month 75% off plus invite code 6J6FV5N2), correcting the product name from Agent Plan to Coding Plan.
- **MiniMax Demoted to Regular Provider**: Removed the gold partner star badge and the API-key promotion banner for MiniMax by dropping the `isPartner` flag from all its presets; it stays as a regular `cn_official` provider keeping its icon and theme. The promotion copy is kept dormant so the partnership can be re-enabled with a single line.
- **LemonData Removed, SudoCode Demoted**: Removed the LemonData provider preset entirely from all apps along with its promotion copy, icons, and sponsor listings, and demoted SudoCode from a partner to a regular `third_party` provider by dropping its `isPartner` flag and promotion copy (it keeps its icon).
- **AtlasCloud Codex GLM 5.1 Context Window**: Declared the 200,000-token context window for the `zai-org/glm-5.1` model in the AtlasCloud Codex preset, matching the other GLM 5.1 preset entries.
### Fixed
- **Route-Takeover Traffic Billed by the Real Upstream Model**: When a request was routed to a different upstream (env model mapping, Claude Desktop routes, Copilot normalization, Codex chat override), the proxy used to attribute and price usage by whatever model the upstream echoed back, recording kimi/glm tokens as `claude-*` and overstating cost roughly 525×. The forwarder now captures the real outbound model, attributes usage by upstream-echo then outbound then client alias, persists the actual pricing basis on every row (schema v11), and keeps that basis through cost backfill and 30-day rollup pruning; Claude Desktop traffic is now logged under its own `app_type` so its pricing overrides apply.
- **Usage Metering on Format-Conversion Proxy Paths**: Audited and fixed token/cache accounting across the proxy's format-conversion paths (Chat, Responses, and Gemini converted to Anthropic). The proxy now records the actually returned model, injects `stream_options.include_usage` so OpenAI-compatible upstreams emit usage in streaming, excludes `cache_read` and `cache_creation` from input on Claude←OpenAI paths to stop double-billing cache tokens, subtracts cached Gemini prompt tokens, still records fully-cached requests, and skips synthetic all-zero usage that previously inflated request counts (#2774).
- **In-App Update No Longer Hangs on Restart**: Installing an update from within the app no longer freezes on the "restarting" screen, leaving the new version installed but requiring a manual force-quit. The download-install-restart chain now runs entirely in the backend (a new `install_update_and_restart` command) with platform-aware install ordering and single-instance-lock teardown before re-exec, instead of depending on the old WebView to keep running JS after the app bundle was already swapped; exit requests are also classified so restart requests fall through to Tauri's default flow rather than deadlocking on the window-state plugin mutex (#4069, #4074).
- **Codex Upgrade No Longer Breaks the Install**: Upgrading Codex from the Settings "About" tab no longer leaves it throwing "Missing optional dependency @openai/codex-…" errors. The upgrade chain previously ran `codex update` first, which on an npm install is a bare reinstall that reports success even when the per-platform binary fails to land; Codex is now removed from the self-update-first path and a runnable check triggers an uninstall+reinstall self-heal (scoped to npm-managed installs) that actually re-lands the missing platform binary.
- **Codex OAuth Auth Token Preserved on Proxy Takeover**: Enabling proxy takeover for a Codex provider no longer strips the `ANTHROPIC_AUTH_TOKEN` placeholder, which previously broke Claude Code's login on hot-switches, fresh installs, and configs already stripped by older releases. The placeholder is now injected unconditionally for managed (non-Copilot) Codex providers, including URL-only ones; GitHub Copilot behavior (API_KEY only) is unchanged (#3789, #3784).
- **Takeover-Residue Recovery Across Config-Dir Switches**: Restarting the app after changing the config directory while proxy takeover is active no longer leaves Claude/Codex/Gemini pointed at a dead local proxy. The old instance now restores the taken-over live files before restarting, the first-run import refuses to persist a takeover placeholder as a provider, and SSOT restore validates that the current provider's config is free of placeholders before writing it back (#4076).
- **Mislabeled SSE Bodies in Format-Transform Fallback**: Requests routed through Claude/Codex format conversion no longer fail with an opaque 422 "Failed to parse upstream response" when a MaaS gateway force-streams a `stream:false` request and returns an SSE body under a non-SSE Content-Type. The proxy now sniffs for SSE on parse failure, aggregates the chunks into a single JSON, and runs the existing converter so clients still get a valid non-stream response; remaining parse failures are enriched with content-type, encoding, and body-snippet diagnostics, and deflate decoding now tries zlib before raw (#2234).
- **Duplicate YAML Keys in Hermes Config**: Hermes config writes no longer accumulate duplicate top-level keys (e.g. `mcp_servers`) that caused "Failed to parse Hermes config as YAML: duplicate entry with key" errors. Section replacement now strips all stale occurrences from the remainder instead of degrading into appends, the dedup safety net handles both LF and CRLF line endings, and healing keeps the last (newest) occurrence to match Hermes's own last-wins PyYAML semantics (#3267, #3633, #2973, #2529, #3310, #3762).
- **Usage Query Resilience and Error Clarity**: Usage cards no longer flip to red on a single transient blip: queries now retry once and keep showing the last successful result for up to 10 minutes on network/timeout/5xx failures, while deterministic failures (auth, empty key, unknown provider, 4xx) surface immediately and clear the snapshot so a stale quota can't resurface after credentials change. Native balance/coding-plan/subscription timeouts were raised from 10s to 15s for slow cross-border endpoints, and coding-plan now returns explicit "API key is empty" / "Unknown coding plan provider" errors instead of a blank failure.
- **Usage Script Provider Credential Resolution**: Custom JS-script usage queries resolved `{{apiKey}}` / `{{baseUrl}}` by guessing env fields only, so providers that store credentials elsewhere (e.g. Codex's `auth.OPENAI_API_KEY` plus `config.toml` base_url) always got empty values and failed despite being fully configured. Script queries and the test/preview now reuse the same per-app credential resolver as the native balance path, with explicit non-empty script values still taking precedence (#1479).
- **Claude Code Workflow Sub-Agent Usage Counted**: Local (no-proxy) session-log usage accounting missed Claude Code Workflow sub-agent traffic, under-counting overall usage by roughly 4.1% (concentrated in workflow/subagent transcripts). The scanner now descends into the deeper `subagents/workflows/wf_*/` transcript directories, and the parser no longer drops billable assistant messages that lack a `stop_reason` but already incurred input/cache token cost; dedup is unchanged so no usage is double-counted.
- **Codex Image Rectifier for /responses Text-Only Upstreams**: Codex `/responses` requests carrying images and routed to text-only OpenAI-chat models (e.g. DeepSeek `deepseek-v4-flash`) no longer fail with HTTP 400 "unknown variant `image_url`". The media rectifier now also covers the Codex adapter, scanning the responses `input` for `input_image` blocks so it can proactively strip images for known text-only models and reactively retry with images replaced on upstream image-unsupported errors.
- **Zhipu Coding-Plan Quota Window Mislabeling**: The Zhipu coding-plan view no longer swaps the 5-hour and weekly quota buckets in the final hours of each weekly cycle. The two windows are now classified by the explicit `unit` field (3 = 5-hour, 6 = weekly) instead of by sorting reset-time ascending, which mislabeled them exactly when users check their weekly quota most; the old reset-time heuristic remains as a fallback (#3036).
- **Duplicate Provider Terminal Sessions on macOS**: Launching a provider terminal on macOS no longer opens an extra empty window alongside the command session; Terminal.app uses `launch` (not `activate`) on cold start and Ghostty uses an initial-command so a single session opens, with a fallback retained if the AppleScript path fails (#4156).
- **Claude Desktop Model-Mapping Placeholders**: The Claude Desktop model-mapping form previously showed mismatched example brands across the menu display name and request model columns (DeepSeek vs Kimi), implying a display name maps to an unrelated model. Both placeholders are now derived from each row's role so they stay brand-consistent, with the lightweight Haiku tier using a flash example.
- **Popovers Behind Fullscreen Panels**: Popovers and tooltips such as the provider preset search no longer render behind fullscreen panels and appear unresponsive on click; their z-index is raised above the fullscreen overlay while staying below modal dialogs.
- **ToggleRow Icon Shrinking**: Toggle row icons no longer shrink or distort when paired with long descriptions, keeping the icon at a fixed size next to multi-line text.
### Docs
- **Release Notes Contributor Mentions**: Restored contributor mentions in the v3.16.1 and v3.16.2 release notes across all three locales.
## [3.16.2] - 2026-06-07 ## [3.16.2] - 2026-06-07
Development since v3.16.1 focuses on broadening data portability and usage observability — S3-compatible cloud sync, OpenCode session usage import, and an opt-in official-subscription quota template — while hardening Codex Chat Completions routing (stream truncation, `tool_choice` / custom-tool / reasoning-token edge cases, file and audio attachments, and a Codex CLI models endpoint), strengthening proxy robustness (ephemeral ports, takeover/placeholder restore, system-message normalization, clearer upstream errors, and a text-only image fallback), fixing coding-plan quota lookups (Zhipu, MiniMax) and several Windows/macOS issues, adding the CherryIN and ZenMux providers, and refreshing the user manual. Development since v3.16.1 focuses on broadening data portability and usage observability — S3-compatible cloud sync, OpenCode session usage import, and an opt-in official-subscription quota template — while hardening Codex Chat Completions routing (stream truncation, `tool_choice` / custom-tool / reasoning-token edge cases, file and audio attachments, and a Codex CLI models endpoint), strengthening proxy robustness (ephemeral ports, takeover/placeholder restore, system-message normalization, clearer upstream errors, and a text-only image fallback), fixing coding-plan quota lookups (Zhipu, MiniMax) and several Windows/macOS issues, adding the CherryIN and ZenMux providers, and refreshing the user manual.
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<td width="180"><a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/byteplus.png" alt="BytePlus" width="150"></a></td> <td width="180"><a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/byteplus.png" alt="BytePlus" width="150"></a></td>
<td>Thanks to Dola seed for sponsoring this project! Dola Seed 2.0 is a fullmodal general large model independently developed by ByteDance for the global market. Built on a unified multimodal architecture, it supports joint understanding and generation of text, images, audio, and video. It natively enables agent collaboration, with strong reasoning, longtask execution, tool integration, and coding capabilities. It is widely applicable to smart cockpits, personal assistants, education, customer support, marketing, retail, and other scenarios. It excels in multimodal perception, endtoend complex task delivery, stable interaction, and data security, and is readily accessible and deployable via the ModelArk platform.Register via <a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">this link</a> to get 500,000 tokens of free inference quota per model.<a href="https://www.volcengine.com/activity/agentplan?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"> >>中国大陆地区的开发者请点击这里</a></td> <td>Thanks to Dola seed for sponsoring this project! Dola Seed 2.0 is a fullmodal general large model independently developed by ByteDance for the global market. Built on a unified multimodal architecture, it supports joint understanding and generation of text, images, audio, and video. It natively enables agent collaboration, with strong reasoning, longtask execution, tool integration, and coding capabilities. It is widely applicable to smart cockpits, personal assistants, education, customer support, marketing, retail, and other scenarios. It excels in multimodal perception, endtoend complex task delivery, stable interaction, and data security, and is readily accessible and deployable via the ModelArk platform.Register via <a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">this link</a> to get 500,000 tokens of free inference quota per model.<a href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=6J6FV5N2&utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"> >>中国大陆地区的开发者请点击这里</a></td>
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@@ -106,11 +106,6 @@ Register now via <a href="https://pateway.ai/?ch=etzpm8&aff=WB6M6F67#/">this lin
<td>Thanks to Micu API for sponsoring this project! Micu API is a global LLM relay service provider dedicated to delivering the best cost-performance ratio with high stability. Backed by a registered enterprise for core assurance, eliminating any risk of service discontinuation, with fast official invoicing support! We champion "zero cost to try": top up from as low as ¥1 with no minimum, and get fee-free refunds anytime! Micu API offers an exclusive deal for CC Switch users: register via <a href="https://www.micuapi.ai/register?aff=aOYQ">this link</a> and enter promo code "ccswitch" when topping up to enjoy a <strong>10% discount</strong>!</td> <td>Thanks to Micu API for sponsoring this project! Micu API is a global LLM relay service provider dedicated to delivering the best cost-performance ratio with high stability. Backed by a registered enterprise for core assurance, eliminating any risk of service discontinuation, with fast official invoicing support! We champion "zero cost to try": top up from as low as ¥1 with no minimum, and get fee-free refunds anytime! Micu API offers an exclusive deal for CC Switch users: register via <a href="https://www.micuapi.ai/register?aff=aOYQ">this link</a> and enter promo code "ccswitch" when topping up to enjoy a <strong>10% discount</strong>!</td>
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<td width="180"><a href="https://lemondata.cc/r/FFX1ZDUP"><img src="assets/partners/logos/lemondata.png" alt="LemonData" width="150"></a></td>
<td>Thanks to LemonData for sponsoring this project! LemonData is a high-performance AI API aggregation platform — one API key for 300+ models including GPT, Claude, Gemini, DeepSeek, and more. All models priced 3070% below official rates with auto-failover, smart routing, and unlimited concurrency. New users get $1 free credit instantly upon registration — sign up via <a href="https://lemondata.cc/r/FFX1ZDUP">this link</a>to claim your bonus and start building right away</strong>!</td>
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<td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td> <td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td>
<td>Thanks to CTok.ai for sponsoring this project! CTok.ai is dedicated to building a one-stop AI programming tool service platform. We offer professional Claude Code packages and technical community services, with support for Google Gemini and OpenAI Codex. Through carefully designed plans and a professional tech community, we provide developers with reliable service guarantees and continuous technical support, making AI-assisted programming a true productivity tool. Click <a href="https://ctok.ai">here</a> to register!</td> <td>Thanks to CTok.ai for sponsoring this project! CTok.ai is dedicated to building a one-stop AI programming tool service platform. We offer professional Claude Code packages and technical community services, with support for Google Gemini and OpenAI Codex. Through carefully designed plans and a professional tech community, we provide developers with reliable service guarantees and continuous technical support, making AI-assisted programming a true productivity tool. Click <a href="https://ctok.ai">here</a> to register!</td>
@@ -151,6 +146,11 @@ Register now via <a href="https://pateway.ai/?ch=etzpm8&aff=WB6M6F67#/">this lin
<td>Thanks to CCSub for sponsoring this project! CCSub is a stable, affordable AI API relay platform — your drop-in replacement for a Claude.ai subscription. One API key gives you access to Claude Opus 4.8, Sonnet, Haiku, GPT-5, Gemini, and DeepSeek at roughly 30% of direct API cost, with no VPN required from anywhere in the world. Compatible with Claude Code, Codex, Cursor, Cline, Continue, Windsurf, and all major AI coding tools. Register via <a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">this link</a> and get $5 free credit on sign-up.</td> <td>Thanks to CCSub for sponsoring this project! CCSub is a stable, affordable AI API relay platform — your drop-in replacement for a Claude.ai subscription. One API key gives you access to Claude Opus 4.8, Sonnet, Haiku, GPT-5, Gemini, and DeepSeek at roughly 30% of direct API cost, with no VPN required from anywhere in the world. Compatible with Claude Code, Codex, Cursor, Cline, Continue, Windsurf, and all major AI coding tools. Register via <a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">this link</a> and get $5 free credit on sign-up.</td>
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<td width="180"><a href="https://unity2.ai/register?source=ccs"><img src="assets/partners/logos/unity2.jpg" alt="Unity2.ai" width="150"></a></td>
<td>Thanks to Unity2.ai for sponsoring this project! Unity2.ai is a high-performance AI model API relay platform for individual developers, teams, and enterprises. Long trusted by leading companies in China, it serves over 30 billion tokens per day and supports high concurrency at the 5,000 RPM level. It offers balance-based billing, first top-up bonuses, bundle subscriptions, corporate invoicing, and dedicated support. Register via <a href="https://unity2.ai/register?source=ccs">this link</a> to get $2 in credits, plus another $10 for joining the official group — up to $12 in free credits!</td>
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<td width="180"><a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/byteplus.png" alt="BytePlus" width="150"></a></td> <td width="180"><a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/byteplus.png" alt="BytePlus" width="150"></a></td>
<td>Danke an Dola seed für die Unterstützung dieses Projekts! Dola Seed 2.0 ist ein voll-modales Allzweck-Großmodell, das von ByteDance eigenständig für den globalen Markt entwickelt wurde. Aufbauend auf einer einheitlichen multimodalen Architektur unterstützt es das gemeinsame Verstehen und Generieren von Text, Bildern, Audio und Video. Es ermöglicht von Haus aus die Zusammenarbeit von Agenten und verfügt über starke Fähigkeiten in den Bereichen Schlussfolgern, Ausführung langer Aufgaben, Werkzeugintegration und Programmierung. Es ist breit einsetzbar — etwa für intelligente Cockpits, persönliche Assistenten, Bildung, Kundensupport, Marketing, Einzelhandel und weitere Szenarien. Es überzeugt bei multimodaler Wahrnehmung, der Ende-zu-Ende-Bewältigung komplexer Aufgaben, stabiler Interaktion und Datensicherheit und ist über die ModelArk-Plattform einfach zugänglich und bereitstellbar. Registrieren Sie sich über <a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">diesen Link</a> und erhalten Sie pro Modell ein kostenloses Inferenzkontingent von 500.000 Token.<a href="https://www.volcengine.com/activity/agentplan?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"> >>中国大陆地区的开发者请点击这里</a></td> <td>Danke an Dola seed für die Unterstützung dieses Projekts! Dola Seed 2.0 ist ein voll-modales Allzweck-Großmodell, das von ByteDance eigenständig für den globalen Markt entwickelt wurde. Aufbauend auf einer einheitlichen multimodalen Architektur unterstützt es das gemeinsame Verstehen und Generieren von Text, Bildern, Audio und Video. Es ermöglicht von Haus aus die Zusammenarbeit von Agenten und verfügt über starke Fähigkeiten in den Bereichen Schlussfolgern, Ausführung langer Aufgaben, Werkzeugintegration und Programmierung. Es ist breit einsetzbar — etwa für intelligente Cockpits, persönliche Assistenten, Bildung, Kundensupport, Marketing, Einzelhandel und weitere Szenarien. Es überzeugt bei multimodaler Wahrnehmung, der Ende-zu-Ende-Bewältigung komplexer Aufgaben, stabiler Interaktion und Datensicherheit und ist über die ModelArk-Plattform einfach zugänglich und bereitstellbar. Registrieren Sie sich über <a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">diesen Link</a> und erhalten Sie pro Modell ein kostenloses Inferenzkontingent von 500.000 Token.<a href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=6J6FV5N2&utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"> >>中国大陆地区的开发者请点击这里</a></td>
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@@ -106,11 +106,6 @@ Registrieren Sie sich jetzt über <a href="https://pateway.ai/?ch=etzpm8&aff=WB6
<td>Danke an Micu API für die Unterstützung dieses Projekts! Micu API ist ein globaler LLM-Relay-Anbieter, der sich der Bereitstellung des besten Preis-Leistungs-Verhältnisses bei hoher Stabilität widmet. Gestützt auf ein eingetragenes Unternehmen als Kernabsicherung wird jedes Risiko einer Diensteinstellung ausgeschlossen, mit schneller offizieller Rechnungsstellung! Wir stehen für „kostenloses Ausprobieren": Aufladungen sind schon ab ¥1 ohne Mindestbetrag möglich, und gebührenfreie Rückerstattungen sind jederzeit möglich! Micu API bietet ein exklusives Angebot für CC-Switch-Nutzer: Registrieren Sie sich über <a href="https://www.micuapi.ai/register?aff=aOYQ">diesen Link</a> und geben Sie beim Aufladen den Gutscheincode „ccswitch" ein, um <strong>10 % Rabatt</strong> zu erhalten!</td> <td>Danke an Micu API für die Unterstützung dieses Projekts! Micu API ist ein globaler LLM-Relay-Anbieter, der sich der Bereitstellung des besten Preis-Leistungs-Verhältnisses bei hoher Stabilität widmet. Gestützt auf ein eingetragenes Unternehmen als Kernabsicherung wird jedes Risiko einer Diensteinstellung ausgeschlossen, mit schneller offizieller Rechnungsstellung! Wir stehen für „kostenloses Ausprobieren": Aufladungen sind schon ab ¥1 ohne Mindestbetrag möglich, und gebührenfreie Rückerstattungen sind jederzeit möglich! Micu API bietet ein exklusives Angebot für CC-Switch-Nutzer: Registrieren Sie sich über <a href="https://www.micuapi.ai/register?aff=aOYQ">diesen Link</a> und geben Sie beim Aufladen den Gutscheincode „ccswitch" ein, um <strong>10 % Rabatt</strong> zu erhalten!</td>
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<td width="180"><a href="https://lemondata.cc/r/FFX1ZDUP"><img src="assets/partners/logos/lemondata.png" alt="LemonData" width="150"></a></td>
<td>Danke an LemonData für die Unterstützung dieses Projekts! LemonData ist eine leistungsstarke KI-API-Aggregationsplattform — ein API-Schlüssel für mehr als 300 Modelle, darunter GPT, Claude, Gemini, DeepSeek und weitere. Alle Modelle zu Preisen 3070 % unter den offiziellen Tarifen, mit automatischem Failover, intelligentem Routing und unbegrenzter Nebenläufigkeit. Neukunden erhalten bei der Registrierung sofort 1 $ Gratisguthaben — registrieren Sie sich über <a href="https://lemondata.cc/r/FFX1ZDUP">diesen Link</a>, um Ihren Bonus einzulösen und sofort mit dem Entwickeln zu beginnen</strong>!</td>
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<td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td> <td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td>
<td>Danke an CTok.ai für die Unterstützung dieses Projekts! CTok.ai widmet sich dem Aufbau einer Komplettlösung für KI-Programmierwerkzeuge. Wir bieten professionelle Claude-Code-Pakete und Dienste einer technischen Community, mit Unterstützung für Google Gemini und OpenAI Codex. Durch sorgfältig gestaltete Pläne und eine professionelle Tech-Community geben wir Entwicklern verlässliche Servicegarantien und kontinuierlichen technischen Support an die Hand und machen KI-gestützte Programmierung zu einem echten Produktivitätswerkzeug. Klicken Sie <a href="https://ctok.ai">hier</a>, um sich zu registrieren!</td> <td>Danke an CTok.ai für die Unterstützung dieses Projekts! CTok.ai widmet sich dem Aufbau einer Komplettlösung für KI-Programmierwerkzeuge. Wir bieten professionelle Claude-Code-Pakete und Dienste einer technischen Community, mit Unterstützung für Google Gemini und OpenAI Codex. Durch sorgfältig gestaltete Pläne und eine professionelle Tech-Community geben wir Entwicklern verlässliche Servicegarantien und kontinuierlichen technischen Support an die Hand und machen KI-gestützte Programmierung zu einem echten Produktivitätswerkzeug. Klicken Sie <a href="https://ctok.ai">hier</a>, um sich zu registrieren!</td>
@@ -151,6 +146,11 @@ Registrieren Sie sich jetzt über <a href="https://pateway.ai/?ch=etzpm8&aff=WB6
<td>Danke an CCSub für die Unterstützung dieses Projekts! CCSub ist eine zuverlässige und kostengünstige AI-API-Relay-Plattform — Ihr direkter Ersatz für ein Claude.ai-Abonnement. Mit einem einzigen API-Schlüssel erhalten Sie Zugriff auf Claude Opus 4.8, Sonnet, Haiku, GPT-5, Gemini und DeepSeek zu etwa 30 % der Kosten der direkten API-Nutzung — ohne VPN, weltweit nutzbar. Kompatibel mit Claude Code, Codex, Cursor, Cline, Continue, Windsurf und allen gängigen AI-Coding-Tools. Registrieren Sie sich über <a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">diesen Link</a> und erhalten Sie $5 Startguthaben bei der Anmeldung.</td> <td>Danke an CCSub für die Unterstützung dieses Projekts! CCSub ist eine zuverlässige und kostengünstige AI-API-Relay-Plattform — Ihr direkter Ersatz für ein Claude.ai-Abonnement. Mit einem einzigen API-Schlüssel erhalten Sie Zugriff auf Claude Opus 4.8, Sonnet, Haiku, GPT-5, Gemini und DeepSeek zu etwa 30 % der Kosten der direkten API-Nutzung — ohne VPN, weltweit nutzbar. Kompatibel mit Claude Code, Codex, Cursor, Cline, Continue, Windsurf und allen gängigen AI-Coding-Tools. Registrieren Sie sich über <a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">diesen Link</a> und erhalten Sie $5 Startguthaben bei der Anmeldung.</td>
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<tr>
<td width="180"><a href="https://unity2.ai/register?source=ccs"><img src="assets/partners/logos/unity2.jpg" alt="Unity2.ai" width="150"></a></td>
<td>Danke an Unity2.ai für die Unterstützung dieses Projekts! Unity2.ai ist eine leistungsstarke AI-Modell-API-Relay-Plattform für Einzelentwickler, Teams und Unternehmen. Sie wird seit Langem von führenden Unternehmen in China genutzt, verarbeitet täglich über 30 Milliarden Tokens und unterstützt hohe Parallelität auf 5.000-RPM-Niveau. Geboten werden Guthaben-Abrechnung, Ersteinzahlungsbonus, Kombi-Abonnements, Firmenrechnungen und persönliche Betreuung. Registrieren Sie sich über <a href="https://unity2.ai/register?source=ccs">diesen Link</a> und erhalten Sie $2 Guthaben, plus weitere $10 für den Beitritt zur offiziellen Gruppe — bis zu $12 Gratis-Guthaben!</td>
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@@ -63,7 +63,7 @@ Claude Code / Codex / Gemini 公式チャンネルが最安で元価格の 38% /
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<td width="180"><a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/byteplus.png" alt="BytePlus" width="150"></a></td> <td width="180"><a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/byteplus.png" alt="BytePlus" width="150"></a></td>
<td>Dola seed のご支援に感謝します!Dola Seed 2.0 は ByteDance がグローバル市場向けに独自開発したフルモーダル汎用大規模モデルです。統一されたマルチモーダルアーキテクチャを基盤に、テキスト・画像・音声・動画の統合的な理解と生成をサポートします。エージェント連携をネイティブに実現し、強力な推論、長時間タスクの実行、ツール統合、コーディング能力を備えています。スマートコックピット、パーソナルアシスタント、教育、カスタマーサポート、マーケティング、リテールなど幅広いシナリオに適用可能で、マルチモーダル認識、エンドツーエンドの複雑なタスク遂行、安定したインタラクション、データセキュリティに優れ、ModelArk プラットフォームを通じて手軽に利用・デプロイできます。<a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">このリンク</a>からご登録いただくと、モデルごとに 500,000 トークンの無料推論クォータを進呈します。</td> <td>Dola seed のご支援に感謝します!Dola Seed 2.0 は ByteDance がグローバル市場向けに独自開発したフルモーダル汎用大規模モデルです。統一されたマルチモーダルアーキテクチャを基盤に、テキスト・画像・音声・動画の統合的な理解と生成をサポートします。エージェント連携をネイティブに実現し、強力な推論、長時間タスクの実行、ツール統合、コーディング能力を備えています。スマートコックピット、パーソナルアシスタント、教育、カスタマーサポート、マーケティング、リテールなど幅広いシナリオに適用可能で、マルチモーダル認識、エンドツーエンドの複雑なタスク遂行、安定したインタラクション、データセキュリティに優れ、ModelArk プラットフォームを通じて手軽に利用・デプロイできます。<a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">このリンク</a>からご登録いただくと、モデルごとに 500,000 トークンの無料推論クォータを進呈します。<a href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=6J6FV5N2&utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"> >>中国大陆地区的开发者请点击这里</a></td>
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@@ -105,10 +105,6 @@ Claude Code / Codex / Gemini 公式チャンネルが最安で元価格の 38% /
<td width="180"><a href="https://www.micuapi.ai/register?aff=aOYQ"><img src="assets/partners/logos/mikubanner.svg" alt="Micu" width="150"></a></td> <td width="180"><a href="https://www.micuapi.ai/register?aff=aOYQ"><img src="assets/partners/logos/mikubanner.svg" alt="Micu" width="150"></a></td>
<td>Micu API のご支援に感謝します!Micu API は、最高のコストパフォーマンスと高い安定性を追求するグローバル大規模言語モデル中継サービスプロバイダーです。法人企業がバックアップしており、サービス停止のリスクを排除、迅速な正規請求書発行に対応!「試行コストゼロ」をモットーに、最低 1 元からチャージ可能で手数料無料、いつでも返金可能!CC Switch ユーザー向けの限定特典:<a href="https://www.micuapi.ai/register?aff=aOYQ">こちらのリンク</a>から登録し、チャージ時にプロモコード「ccswitch」を入力すると <strong>10% 割引</strong> が適用されます!</td> <td>Micu API のご支援に感謝します!Micu API は、最高のコストパフォーマンスと高い安定性を追求するグローバル大規模言語モデル中継サービスプロバイダーです。法人企業がバックアップしており、サービス停止のリスクを排除、迅速な正規請求書発行に対応!「試行コストゼロ」をモットーに、最低 1 元からチャージ可能で手数料無料、いつでも返金可能!CC Switch ユーザー向けの限定特典:<a href="https://www.micuapi.ai/register?aff=aOYQ">こちらのリンク</a>から登録し、チャージ時にプロモコード「ccswitch」を入力すると <strong>10% 割引</strong> が適用されます!</td>
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<td width="180"><a href="https://lemondata.cc/r/FFX1ZDUP"><img src="assets/partners/logos/lemondata.png" alt="LemonData" width="150"></a></td>
<td>LemonData のご支援に感謝します!LemonData は高性能 AI API アグリゲーションプラットフォームで、GPT、Claude、Gemini、DeepSeek など 300 以上のモデルに 1 つの API キーでアクセス可能。全モデルが公式価格の 30〜70% オフで自動フェイルオーバー、スマートルーティング、無制限同時接続に対応。新規ユーザーは登録だけで即座に $1 の無料クレジットを獲得 — <a href="https://lemondata.cc/r/FFX1ZDUP">こちらのリンク</a>から登録してボーナスを獲得し、すぐに開発を始めましょう!</td>
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<td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td> <td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td>
@@ -150,6 +146,11 @@ Claude Code / Codex / Gemini 公式チャンネルが最安で元価格の 38% /
<td>CCSub のご支援に感謝します!CCSub は安定した低価格の AI API リレープラットフォームで、Claude Code 公式サブスクリプションの強力な代替です。1 つの API キーで Claude Opus 4.8、Sonnet 4.6、Haiku 4.5、GPT-5、Gemini、DeepSeek の全モデルを公式直接利用の約 1/3 のコストでご利用いただけます。VPN 不要で世界中から直接接続可能。Claude Code、Codex、Cursor、Cline、Continue、Windsurf など主要な AI コーディングツールすべてに対応しています。<a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">こちらのリンク</a>から登録すると $5 の無料クレジットがもらえます。</td> <td>CCSub のご支援に感謝します!CCSub は安定した低価格の AI API リレープラットフォームで、Claude Code 公式サブスクリプションの強力な代替です。1 つの API キーで Claude Opus 4.8、Sonnet 4.6、Haiku 4.5、GPT-5、Gemini、DeepSeek の全モデルを公式直接利用の約 1/3 のコストでご利用いただけます。VPN 不要で世界中から直接接続可能。Claude Code、Codex、Cursor、Cline、Continue、Windsurf など主要な AI コーディングツールすべてに対応しています。<a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">こちらのリンク</a>から登録すると $5 の無料クレジットがもらえます。</td>
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<tr>
<td width="180"><a href="https://unity2.ai/register?source=ccs"><img src="assets/partners/logos/unity2.jpg" alt="Unity2.ai" width="150"></a></td>
<td>Unity2.ai のご支援に感謝します!Unity2.ai は個人開発者・チーム・企業向けの高性能 AI モデル API リレープラットフォームです。中国の大手企業に長年利用されており、1 日 300 億トークン以上を処理し、5000 RPM クラスの高並列に対応しています。残高課金、初回チャージボーナス、組み合わせサブスクリプション、企業向け請求書発行、専任サポートを提供。<a href="https://unity2.ai/register?source=ccs">こちらのリンク</a>から登録すると $2 のクレジット、公式グループへの参加でさらに $10、最大 $12 の無料クレジットがもらえます!</td>
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</details> </details>
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@@ -62,8 +62,8 @@ Claude Code / Codex / Gemini 官方渠道低至 3.8 / 0.2 / 0.9 折,充值更
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<td width="180"><a href="https://www.volcengine.com/activity/agentplan?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/huoshan.png" alt="HuoShan" width="150"></a></td> <td width="180"><a href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=6J6FV5N2&utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch"><img src="assets/partners/logos/huoshan.png" alt="HuoShan" width="150"></a></td>
<td>感谢火山方舟Agent Plan 模型赞助了本项目!方舟Agent Plan 模型订阅套餐集成了包含Doubao-Seed、Doubao-Seedance、Doubao-Seedream等在内的字节跳动自研SOTA级模型,覆盖文本、代码、图像、视频等多模态任务。同时支持一站式接入DeepSeek V4、GLM 5.1等主流大模型。超全模态模型与 Harness 升级一步到位,深度支持 Agent 框架与 AI 编程工具。方舟 Agent Plan 为 CC Switch 的用户提供了专属福利:通过<a href="https://www.volcengine.com/activity/agentplan?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">此链接</a>订阅方舟AgentPlan,新客户首月40元起<a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">>>For developers outside Mainland China, please click here</a></td> <td>感谢火山方舟 Agent Plan 模型赞助了本项目!方舟 Agent Plan 模型订阅套餐集成了包含 Doubao-Seed、Doubao-Seedance、Doubao-Seedream 等在内的字节跳动自研 SOTA 级模型,覆盖文本、代码、图像、视频等多模态任务。最新支持 MiniMax-M3、DeepSeek-V4 系列、GLM-5.1、Doubao-Seed-2.0 系列、Kimi-K2.6 等模型,工具不限。超全模态模型与 Harness 升级一步到位,深度支持 Agent 框架与 AI 编程工具。一次订阅,可以为不同任务切换合适的 AI 引擎。方舟 Coding Plan 为 CC Switch 的用户提供了专属福利:通过<a href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=6J6FV5N2&utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">此链接</a>订阅方舟 Coding Plan,新客户首两个月享 2.5 折优惠,再用专属邀请码 6J6FV5N2 领取奖励叠加 9.5 折,低至 9.4 元/月!<a href="https://www.byteplus.com/en/product/modelark?utm_campaign=hw&utm_content=ccswitch&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ccswitch">>>For developers outside Mainland China, please click here</a></td>
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@@ -106,10 +106,6 @@ Claude Code / Codex / Gemini 官方渠道低至 3.8 / 0.2 / 0.9 折,充值更
<td width="180"><a href="https://www.micuapi.ai/register?aff=aOYQ"><img src="assets/partners/logos/mikubanner.svg" alt="Micu" width="150"></a></td> <td width="180"><a href="https://www.micuapi.ai/register?aff=aOYQ"><img src="assets/partners/logos/mikubanner.svg" alt="Micu" width="150"></a></td>
<td>感谢 米醋API 赞助了本项目!米醋API 是一家致力于提供极致性价比与高稳定性的全球大模型中转服务商。米醋API 背后有实体企业做核心保障,杜绝跑路风险,支持极速正规开票!我们主打“试错零成本”:1 元起充低门槛,0 手续费随时退款!米醋API 为本软件的用户提供了特别优惠,使用<a href="https://www.micuapi.ai/register?aff=aOYQ">此链接</a>注册并在充值时填写"ccswitch"优惠码可享九折优惠!</td> <td>感谢 米醋API 赞助了本项目!米醋API 是一家致力于提供极致性价比与高稳定性的全球大模型中转服务商。米醋API 背后有实体企业做核心保障,杜绝跑路风险,支持极速正规开票!我们主打“试错零成本”:1 元起充低门槛,0 手续费随时退款!米醋API 为本软件的用户提供了特别优惠,使用<a href="https://www.micuapi.ai/register?aff=aOYQ">此链接</a>注册并在充值时填写"ccswitch"优惠码可享九折优惠!</td>
</tr> </tr>
<tr>
<td width="180"><a href="https://lemondata.cc/r/FFX1ZDUP"><img src="assets/partners/logos/lemondata.png" alt="LemonData" width="150"></a></td>
<td>感谢 LemonData 赞助了本项目!LemonData 是一个高性能 AI API 聚合平台——一个 API Key 即可访问 GPT、Claude、Gemini、DeepSeek 等 300+ 模型。所有模型定价为官方价格的 30%-70%,支持自动故障转移、智能路由和无限并发。新用户注册即获 $1 免费额度——通过<a href="https://lemondata.cc/r/FFX1ZDUP">此链接</a>注册即可领取奖励,立即开始开发!</td>
</tr>
<tr> <tr>
<td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td> <td width="180"><a href="https://ctok.ai"><img src="assets/partners/logos/ctok.png" alt="CTok" width="150"></a></td>
@@ -151,6 +147,11 @@ Claude Code / Codex / Gemini 官方渠道低至 3.8 / 0.2 / 0.9 折,充值更
<td>感谢 CCSub 赞助本项目!CCSub 是稳定、实惠的 AI API 中转平台,是 Claude Code 官方订阅的超强平替。一个 API Key 即可调用 Claude Opus 4.8、Sonnet 4.6、Haiku 4.5、GPT-5、Gemini、DeepSeek 全系列模型,价格约为官方直连的 1/3,全球直连无需梯子。兼容 Claude Code、Codex、Cursor、Cline、Continue、Windsurf 等所有主流 AI 编程工具。通过<a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">此链接</a>注册即送 $5 体验额度!</td> <td>感谢 CCSub 赞助本项目!CCSub 是稳定、实惠的 AI API 中转平台,是 Claude Code 官方订阅的超强平替。一个 API Key 即可调用 Claude Opus 4.8、Sonnet 4.6、Haiku 4.5、GPT-5、Gemini、DeepSeek 全系列模型,价格约为官方直连的 1/3,全球直连无需梯子。兼容 Claude Code、Codex、Cursor、Cline、Continue、Windsurf 等所有主流 AI 编程工具。通过<a href="https://www.ccsub.net/register?ref=Y6Z8DXEA">此链接</a>注册即送 $5 体验额度!</td>
</tr> </tr>
<tr>
<td width="180"><a href="https://unity2.ai/register?source=ccs"><img src="assets/partners/logos/unity2.jpg" alt="Unity2.ai" width="150"></a></td>
<td>感谢 Unity2.ai 赞助了本项目!Unity2.ai 是面向个人开发者、团队和企业的高性能 AI 模型 API 中转平台,长期服务国内头部企业,日均承载超 300 亿 token 调用,支持 5000 RPM 级高并发。支持余额计费、首充赠额、组合订阅、企业开票和专属对接。通过<a href="https://unity2.ai/register?source=ccs">此链接</a>注册可领取 $2 余额,加入官方群再送 $10 余额,最高可领 $12 免费额度!</td>
</tr>
</table> </table>
</details> </details>
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@@ -1,162 +0,0 @@
/**
* Universal Provider
*
* ClaudeCodexGemini
* NewAPI API
*/
import type {
UniversalProvider,
UniversalProviderApps,
UniversalProviderModels,
} from "@/types";
/**
*
*/
export interface UniversalProviderPreset {
/** 预设名称 */
name: string;
/** 供应商类型标识 */
providerType: string;
/** 默认启用的应用 */
defaultApps: UniversalProviderApps;
/** 默认模型配置 */
defaultModels: UniversalProviderModels;
/** 网站链接 */
websiteUrl?: string;
/** 图标名称 */
icon?: string;
/** 图标颜色 */
iconColor?: string;
/** 描述 */
description?: string;
/** 是否为自定义模板(允许用户完全自定义) */
isCustomTemplate?: boolean;
}
/**
* NewAPI
*/
const NEWAPI_DEFAULT_MODELS: UniversalProviderModels = {
claude: {
model: "claude-sonnet-4-20250514",
haikuModel: "claude-haiku-4-20250514",
sonnetModel: "claude-sonnet-4-20250514",
opusModel: "claude-sonnet-4-20250514",
},
codex: {
model: "gpt-4o",
reasoningEffort: "high",
},
gemini: {
model: "gemini-2.5-pro",
},
};
const N1N_DEFAULT_MODELS: UniversalProviderModels = {
claude: {
model: "claude-3-5-sonnet-20240620",
haikuModel: "claude-3-haiku-20240307",
sonnetModel: "claude-3-5-sonnet-20240620",
opusModel: "claude-3-opus-20240229",
},
codex: {
model: "gpt-4o",
reasoningEffort: "high",
},
gemini: {
model: "gemini-1.5-pro-latest",
},
};
/**
*
*/
export const universalProviderPresets: UniversalProviderPreset[] = [
{
name: "n1n.ai",
providerType: "n1n",
defaultApps: {
claude: true,
codex: true,
gemini: true,
},
defaultModels: N1N_DEFAULT_MODELS,
websiteUrl: "https://n1n.ai",
icon: "openai",
iconColor: "#000000",
description:
"n1n.ai - 聚合 OpenAI, Anthropic, Google 等主流大模型的一站式 AI 服务平台",
},
{
name: "NewAPI",
providerType: "newapi",
defaultApps: {
claude: true,
codex: true,
gemini: true,
},
defaultModels: NEWAPI_DEFAULT_MODELS,
websiteUrl: "https://www.newapi.pro",
icon: "newapi",
iconColor: "#00A67E",
description:
"NewAPI 是一个可自部署的 API 网关,支持 Anthropic、OpenAI、Gemini 等多种协议",
},
{
name: "自定义网关",
providerType: "custom_gateway",
defaultApps: {
claude: true,
codex: true,
gemini: true,
},
defaultModels: NEWAPI_DEFAULT_MODELS,
icon: "openai",
iconColor: "#6366F1",
description: "自定义配置的 API 网关",
isCustomTemplate: true,
},
];
/**
*
*/
export function createUniversalProviderFromPreset(
preset: UniversalProviderPreset,
id: string,
baseUrl: string,
apiKey: string,
customName?: string,
): UniversalProvider {
return {
id,
name: customName || preset.name,
providerType: preset.providerType,
apps: { ...preset.defaultApps },
baseUrl,
apiKey,
models: JSON.parse(JSON.stringify(preset.defaultModels)), // Deep copy
websiteUrl: preset.websiteUrl,
icon: preset.icon,
iconColor: preset.iconColor,
createdAt: Date.now(),
};
}
/**
* UI
*/
export function getPresetDisplayName(preset: UniversalProviderPreset): string {
return preset.name;
}
/**
*
*/
export function findPresetByType(
providerType: string,
): UniversalProviderPreset | undefined {
return universalProviderPresets.find((p) => p.providerType === providerType);
}
+10 -10
View File
@@ -105,7 +105,7 @@ Fixed multiple preserve-mode takeover paths that could clear or overwrite offici
Fixed cases where `modelCatalog` could be cleared during live backfill, active-provider editing, provider switching, and takeover shutdown restore. Snapshot backups preserve existing `model_catalog_json` pointers; backups rebuilt from providers regenerate catalog projections from the database source of truth; editing the active provider now prefers the database model catalog instead of trusting a live reverse-parse result that may have lost its projection. Fixed cases where `modelCatalog` could be cleared during live backfill, active-provider editing, provider switching, and takeover shutdown restore. Snapshot backups preserve existing `model_catalog_json` pointers; backups rebuilt from providers regenerate catalog projections from the database source of truth; editing the active provider now prefers the database model catalog instead of trusting a live reverse-parse result that may have lost its projection.
Provider switching also now always refreshes the generated Codex model catalog JSON ([#3360](https://github.com/farion1231/cc-switch/pull/3360), thanks [@Postroggy](https://github.com/Postroggy)). Provider switching also now always refreshes the generated Codex model catalog JSON ([#3360](https://github.com/farion1231/cc-switch/pull/3360), thanks @Postroggy).
### Codex Chat Tools, Plugins, and Custom Tools Restored ### Codex Chat Tools, Plugins, and Custom Tools Restored
@@ -117,19 +117,19 @@ When Codex forwarding fails, CC Switch now returns JSON errors that include prov
### Codex Native Balance / Coding Plan Credential Lookup ### Codex Native Balance / Coding Plan Credential Lookup
Fixed native balance and Coding Plan queries using credentials from the wrong app. Each app now resolves its own provider credentials instead of carrying authentication assumptions from another app surface into the query flow ([#3355](https://github.com/farion1231/cc-switch/pull/3355), thanks [@SiskonEmilia](https://github.com/SiskonEmilia)). Fixed native balance and Coding Plan queries using credentials from the wrong app. Each app now resolves its own provider credentials instead of carrying authentication assumptions from another app surface into the query flow ([#3355](https://github.com/farion1231/cc-switch/pull/3355), thanks @SiskonEmilia).
### Codex CLI Discovery and Model Catalog Template Fallback ### Codex CLI Discovery and Model Catalog Template Fallback
Fixed a too-narrow Codex CLI discovery path for third-party Codex model catalog projection. The backend now searches common Codex CLI install locations across platforms, and falls back to a built-in GPT-5.5 model catalog template if no template can be found ([#3382](https://github.com/farion1231/cc-switch/pull/3382), thanks [@chofuhoyu](https://github.com/chofuhoyu)). Fixed a too-narrow Codex CLI discovery path for third-party Codex model catalog projection. The backend now searches common Codex CLI install locations across platforms, and falls back to a built-in GPT-5.5 model catalog template if no template can be found ([#3382](https://github.com/farion1231/cc-switch/pull/3382), thanks @chofuhoyu).
### Claude Desktop Official Provider Add Failure ### Claude Desktop Official Provider Add Failure
Fixed an error when adding the Claude Desktop Official provider ([#3405](https://github.com/farion1231/cc-switch/pull/3405), thanks [@Eunknight](https://github.com/Eunknight)). Fixed an error when adding the Claude Desktop Official provider ([#3405](https://github.com/farion1231/cc-switch/pull/3405), thanks @Eunknight).
### Kimi / Moonshot Tool-Thinking History Normalization ### Kimi / Moonshot Tool-Thinking History Normalization
Added Kimi / Moonshot to the Anthropic-compatible tool-thinking history normalizer. Later turns can now correctly replay reasoning and tool-call context, avoiding failures caused by history messages that do not match upstream requirements ([#3377](https://github.com/farion1231/cc-switch/pull/3377), thanks [@Neon-Wang](https://github.com/Neon-Wang)). Added Kimi / Moonshot to the Anthropic-compatible tool-thinking history normalizer. Later turns can now correctly replay reasoning and tool-call context, avoiding failures caused by history messages that do not match upstream requirements ([#3377](https://github.com/farion1231/cc-switch/pull/3377), thanks @Neon-Wang).
### Windows Tool Version Detection ### Windows Tool Version Detection
@@ -171,11 +171,11 @@ By enabling these features, users accept the related risks. CC Switch is not res
Thanks to the following contributors for fixes in v3.16.1: Thanks to the following contributors for fixes in v3.16.1:
- [#3360](https://github.com/farion1231/cc-switch/pull/3360): always update Codex model catalog JSON when switching providers, thanks [@Postroggy](https://github.com/Postroggy). - [#3360](https://github.com/farion1231/cc-switch/pull/3360): always update Codex model catalog JSON when switching providers, thanks @Postroggy.
- [#3355](https://github.com/farion1231/cc-switch/pull/3355): resolve native balance / Coding Plan credentials per app, thanks [@SiskonEmilia](https://github.com/SiskonEmilia). - [#3355](https://github.com/farion1231/cc-switch/pull/3355): resolve native balance / Coding Plan credentials per app, thanks @SiskonEmilia.
- [#3405](https://github.com/farion1231/cc-switch/pull/3405): fix Claude Desktop Official provider add failure, thanks [@Eunknight](https://github.com/Eunknight). - [#3405](https://github.com/farion1231/cc-switch/pull/3405): fix Claude Desktop Official provider add failure, thanks @Eunknight.
- [#3382](https://github.com/farion1231/cc-switch/pull/3382): Codex CLI multi-platform discovery and GPT-5.5 model template fallback, thanks [@chofuhoyu](https://github.com/chofuhoyu). - [#3382](https://github.com/farion1231/cc-switch/pull/3382): Codex CLI multi-platform discovery and GPT-5.5 model template fallback, thanks @chofuhoyu.
- [#3377](https://github.com/farion1231/cc-switch/pull/3377): Kimi / Moonshot tool-thinking history normalization, thanks [@Neon-Wang](https://github.com/Neon-Wang). - [#3377](https://github.com/farion1231/cc-switch/pull/3377): Kimi / Moonshot tool-thinking history normalization, thanks @Neon-Wang.
Thanks also to everyone who reported Codex OAuth, model catalog, local routing takeover, and Chat Completions tool-call issues after v3.16.0. Many of these fixes came directly from real-world reproduction details. Thanks also to everyone who reported Codex OAuth, model catalog, local routing takeover, and Chat Completions tool-call issues after v3.16.0. Many of these fixes came directly from real-world reproduction details.
+10 -10
View File
@@ -105,7 +105,7 @@ Codex がローカルルーティングのテイクオーバー状態にある
live バックフィル、現在のプロバイダー編集、プロバイダー切り替え、テイクオーバー解除時の復元などで `modelCatalog` が空になる問題を修正しました。スナップショットバックアップは既存の `model_catalog_json` ポインターを保持します。プロバイダーから再構築されるバックアップは、データベースの信頼できる情報源からカタログ投影を再生成します。現在のプロバイダー編集時は、投影を失っている可能性のある live の逆解析結果ではなく、データベース内のモデルカタログを優先します。 live バックフィル、現在のプロバイダー編集、プロバイダー切り替え、テイクオーバー解除時の復元などで `modelCatalog` が空になる問題を修正しました。スナップショットバックアップは既存の `model_catalog_json` ポインターを保持します。プロバイダーから再構築されるバックアップは、データベースの信頼できる情報源からカタログ投影を再生成します。現在のプロバイダー編集時は、投影を失っている可能性のある live の逆解析結果ではなく、データベース内のモデルカタログを優先します。
また、プロバイダー切り替え時には生成済みの Codex モデルカタログ JSON を常に更新するようになりました([#3360](https://github.com/farion1231/cc-switch/pull/3360)、[@Postroggy](https://github.com/Postroggy) に感謝)。 また、プロバイダー切り替え時には生成済みの Codex モデルカタログ JSON を常に更新するようになりました([#3360](https://github.com/farion1231/cc-switch/pull/3360)、@Postroggy に感謝)。
### Codex Chat ツール、プラグイン、カスタムツールの復元 ### Codex Chat ツール、プラグイン、カスタムツールの復元
@@ -117,19 +117,19 @@ Codex の転送に失敗したとき、provider、model、endpoint、上流 HTTP
### Codex ネイティブ残高 / Coding Plan の認証情報検索 ### Codex ネイティブ残高 / Coding Plan の認証情報検索
ネイティブ残高と Coding Plan の照会時に、別アプリの認証情報を誤って使う問題を修正しました。各 app は自分自身のプロバイダー認証情報を解析し、別のアプリ面の認証前提を照会フローへ持ち込まなくなりました([#3355](https://github.com/farion1231/cc-switch/pull/3355)、[@SiskonEmilia](https://github.com/SiskonEmilia) に感謝)。 ネイティブ残高と Coding Plan の照会時に、別アプリの認証情報を誤って使う問題を修正しました。各 app は自分自身のプロバイダー認証情報を解析し、別のアプリ面の認証前提を照会フローへ持ち込まなくなりました([#3355](https://github.com/farion1231/cc-switch/pull/3355)、@SiskonEmilia に感謝)。
### Codex CLI 探索とモデルカタログテンプレートのフォールバック ### Codex CLI 探索とモデルカタログテンプレートのフォールバック
サードパーティ Codex モデルカタログ投影における Codex CLI の探索パスが狭すぎる問題を修正しました。バックエンドは複数プラットフォームの一般的な Codex CLI インストール場所を探し、それでもテンプレートが見つからない場合は内蔵の GPT-5.5 モデルカタログテンプレートへフォールバックします([#3382](https://github.com/farion1231/cc-switch/pull/3382)、[@chofuhoyu](https://github.com/chofuhoyu) に感謝)。 サードパーティ Codex モデルカタログ投影における Codex CLI の探索パスが狭すぎる問題を修正しました。バックエンドは複数プラットフォームの一般的な Codex CLI インストール場所を探し、それでもテンプレートが見つからない場合は内蔵の GPT-5.5 モデルカタログテンプレートへフォールバックします([#3382](https://github.com/farion1231/cc-switch/pull/3382)、@chofuhoyu に感謝)。
### Claude Desktop Official プロバイダー追加失敗 ### Claude Desktop Official プロバイダー追加失敗
Claude Desktop Official プロバイダー追加時のエラーを修正しました([#3405](https://github.com/farion1231/cc-switch/pull/3405)、[@Eunknight](https://github.com/Eunknight) に感謝)。 Claude Desktop Official プロバイダー追加時のエラーを修正しました([#3405](https://github.com/farion1231/cc-switch/pull/3405)、@Eunknight に感謝)。
### Kimi / Moonshot ツール思考履歴の正規化 ### Kimi / Moonshot ツール思考履歴の正規化
Kimi / Moonshot を Anthropic 互換ツール思考履歴 normalizer に追加しました。後続ターンで reasoning と tool-call コンテキストを正しく再生できるようになり、履歴メッセージの形が上流要件に合わず失敗する問題を避けます([#3377](https://github.com/farion1231/cc-switch/pull/3377)、[@Neon-Wang](https://github.com/Neon-Wang) に感謝)。 Kimi / Moonshot を Anthropic 互換ツール思考履歴 normalizer に追加しました。後続ターンで reasoning と tool-call コンテキストを正しく再生できるようになり、履歴メッセージの形が上流要件に合わず失敗する問題を避けます([#3377](https://github.com/farion1231/cc-switch/pull/3377)、@Neon-Wang に感謝)。
### Windows ツールバージョン検出 ### Windows ツールバージョン検出
@@ -171,11 +171,11 @@ Codex は起動時に `model_catalog_json` を読み込みます。v3.16.1 で
v3.16.1 で修正を届けてくださった以下のコントリビューターに感謝します: v3.16.1 で修正を届けてくださった以下のコントリビューターに感謝します:
- [#3360](https://github.com/farion1231/cc-switch/pull/3360): Codex プロバイダー切り替え時にモデルカタログ JSON を常に更新、[@Postroggy](https://github.com/Postroggy) に感謝。 - [#3360](https://github.com/farion1231/cc-switch/pull/3360): Codex プロバイダー切り替え時にモデルカタログ JSON を常に更新、@Postroggy に感謝。
- [#3355](https://github.com/farion1231/cc-switch/pull/3355): ネイティブ残高 / Coding Plan 照会の認証情報を app ごとに解析、[@SiskonEmilia](https://github.com/SiskonEmilia) に感謝。 - [#3355](https://github.com/farion1231/cc-switch/pull/3355): ネイティブ残高 / Coding Plan 照会の認証情報を app ごとに解析、@SiskonEmilia に感謝。
- [#3405](https://github.com/farion1231/cc-switch/pull/3405): Claude Desktop Official プロバイダー追加エラーを修正、[@Eunknight](https://github.com/Eunknight) に感謝。 - [#3405](https://github.com/farion1231/cc-switch/pull/3405): Claude Desktop Official プロバイダー追加エラーを修正、@Eunknight に感謝。
- [#3382](https://github.com/farion1231/cc-switch/pull/3382): Codex CLI の複数プラットフォーム探索と GPT-5.5 モデルテンプレートフォールバック、[@chofuhoyu](https://github.com/chofuhoyu) に感謝。 - [#3382](https://github.com/farion1231/cc-switch/pull/3382): Codex CLI の複数プラットフォーム探索と GPT-5.5 モデルテンプレートフォールバック、@chofuhoyu に感謝。
- [#3377](https://github.com/farion1231/cc-switch/pull/3377): Kimi / Moonshot ツール思考履歴の正規化、[@Neon-Wang](https://github.com/Neon-Wang) に感謝。 - [#3377](https://github.com/farion1231/cc-switch/pull/3377): Kimi / Moonshot ツール思考履歴の正規化、@Neon-Wang に感謝。
v3.16.0 リリース後に Codex OAuth、モデルカタログ、ローカルルーティングのテイクオーバー、Chat Completions ツール呼び出しの問題を報告してくださったすべてのユーザーにも感謝します。今回の多くの修正は、実際の利用シーンから得られた再現情報に基づいています。 v3.16.0 リリース後に Codex OAuth、モデルカタログ、ローカルルーティングのテイクオーバー、Chat Completions ツール呼び出しの問題を報告してくださったすべてのユーザーにも感謝します。今回の多くの修正は、実際の利用シーンから得られた再現情報に基づいています。
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@@ -105,7 +105,7 @@ Codex / Claude / Gemini 的供应商切换与本地路由接管开关现在共
修复 `modelCatalog` 在 live 回填、当前供应商编辑弹窗、供应商切换、关闭接管恢复等场景被清空的问题。快照备份会保留已有 `model_catalog_json` 指针;由供应商重建的备份会从数据库真相来源重新生成目录投影;编辑当前供应商时会优先使用数据库里的模型目录,而不是信任可能已经丢失投影的 live 反解结果。 修复 `modelCatalog` 在 live 回填、当前供应商编辑弹窗、供应商切换、关闭接管恢复等场景被清空的问题。快照备份会保留已有 `model_catalog_json` 指针;由供应商重建的备份会从数据库真相来源重新生成目录投影;编辑当前供应商时会优先使用数据库里的模型目录,而不是信任可能已经丢失投影的 live 反解结果。
同时,供应商切换现在会始终刷新生成的 Codex 模型目录 JSON[#3360](https://github.com/farion1231/cc-switch/pull/3360),感谢 [@Postroggy](https://github.com/Postroggy))。 同时,供应商切换现在会始终刷新生成的 Codex 模型目录 JSON[#3360](https://github.com/farion1231/cc-switch/pull/3360),感谢 @Postroggy)。
### Codex Chat 工具、插件和自定义工具恢复 ### Codex Chat 工具、插件和自定义工具恢复
@@ -117,19 +117,19 @@ Codex 转发失败时,现在返回包含 provider、model、endpoint、上游
### Codex 原生余额 / Coding Plan 查询凭据 ### Codex 原生余额 / Coding Plan 查询凭据
修复原生余额与 Coding Plan 查询时跨 app 错用凭据的问题。现在每个 app 会解析自己的供应商凭据,不再把其他应用面的认证假设带进查询流程([#3355](https://github.com/farion1231/cc-switch/pull/3355),感谢 [@SiskonEmilia](https://github.com/SiskonEmilia))。 修复原生余额与 Coding Plan 查询时跨 app 错用凭据的问题。现在每个 app 会解析自己的供应商凭据,不再把其他应用面的认证假设带进查询流程([#3355](https://github.com/farion1231/cc-switch/pull/3355),感谢 @SiskonEmilia)。
### Codex CLI 发现与模型目录模板兜底 ### Codex CLI 发现与模型目录模板兜底
修复第三方 Codex 模型目录投影对 Codex CLI 发现路径过窄的问题。现在后端会在多平台常见安装位置寻找 Codex CLI,并在仍找不到模板时使用内置 GPT-5.5 模型目录模板兜底([#3382](https://github.com/farion1231/cc-switch/pull/3382),感谢 [@chofuhoyu](https://github.com/chofuhoyu))。 修复第三方 Codex 模型目录投影对 Codex CLI 发现路径过窄的问题。现在后端会在多平台常见安装位置寻找 Codex CLI,并在仍找不到模板时使用内置 GPT-5.5 模型目录模板兜底([#3382](https://github.com/farion1231/cc-switch/pull/3382),感谢 @chofuhoyu)。
### Claude Desktop 官方供应商添加失败 ### Claude Desktop 官方供应商添加失败
修复添加 Claude Desktop 官方供应商时报错的问题([#3405](https://github.com/farion1231/cc-switch/pull/3405),感谢 [@Eunknight](https://github.com/Eunknight))。 修复添加 Claude Desktop 官方供应商时报错的问题([#3405](https://github.com/farion1231/cc-switch/pull/3405),感谢 @Eunknight)。
### Kimi / Moonshot 工具思考历史规范化 ### Kimi / Moonshot 工具思考历史规范化
把 Kimi / Moonshot 加入 Anthropic 兼容工具思考历史 normalizer。后续轮次现在能正确重放 reasoning 与 tool-call 上下文,避免因为历史消息形态不符合上游要求而失败([#3377](https://github.com/farion1231/cc-switch/pull/3377),感谢 [@Neon-Wang](https://github.com/Neon-Wang))。 把 Kimi / Moonshot 加入 Anthropic 兼容工具思考历史 normalizer。后续轮次现在能正确重放 reasoning 与 tool-call 上下文,避免因为历史消息形态不符合上游要求而失败([#3377](https://github.com/farion1231/cc-switch/pull/3377),感谢 @Neon-Wang)。
### Windows 工具版本探测 ### Windows 工具版本探测
@@ -171,11 +171,11 @@ Codex 在启动时读取 `model_catalog_json`。因此即使 v3.16.1 已修复
感谢以下贡献者在 v3.16.1 中提交修复: 感谢以下贡献者在 v3.16.1 中提交修复:
- [#3360](https://github.com/farion1231/cc-switch/pull/3360):Codex 供应商切换时始终更新模型目录 JSON,感谢 [@Postroggy](https://github.com/Postroggy) - [#3360](https://github.com/farion1231/cc-switch/pull/3360):Codex 供应商切换时始终更新模型目录 JSON,感谢 @Postroggy
- [#3355](https://github.com/farion1231/cc-switch/pull/3355):原生余额 / Coding Plan 查询按 app 解析凭据,感谢 [@SiskonEmilia](https://github.com/SiskonEmilia) - [#3355](https://github.com/farion1231/cc-switch/pull/3355):原生余额 / Coding Plan 查询按 app 解析凭据,感谢 @SiskonEmilia
- [#3405](https://github.com/farion1231/cc-switch/pull/3405):修复 Claude Desktop 官方供应商添加报错,感谢 [@Eunknight](https://github.com/Eunknight) - [#3405](https://github.com/farion1231/cc-switch/pull/3405):修复 Claude Desktop 官方供应商添加报错,感谢 @Eunknight
- [#3382](https://github.com/farion1231/cc-switch/pull/3382)Codex CLI 多平台发现与 GPT-5.5 模型模板兜底,感谢 [@chofuhoyu](https://github.com/chofuhoyu) - [#3382](https://github.com/farion1231/cc-switch/pull/3382)Codex CLI 多平台发现与 GPT-5.5 模型模板兜底,感谢 @chofuhoyu
- [#3377](https://github.com/farion1231/cc-switch/pull/3377)Kimi / Moonshot 工具思考历史规范化,感谢 [@Neon-Wang](https://github.com/Neon-Wang) - [#3377](https://github.com/farion1231/cc-switch/pull/3377)Kimi / Moonshot 工具思考历史规范化,感谢 @Neon-Wang。
也感谢所有在 v3.16.0 发布后反馈 Codex OAuth、模型目录、本地路由接管和 Chat Completions 工具调用问题的用户。很多补丁都来自这些真实使用场景里的复现线索。 也感谢所有在 v3.16.0 发布后反馈 Codex OAuth、模型目录、本地路由接管和 Chat Completions 工具调用问题的用户。很多补丁都来自这些真实使用场景里的复现线索。
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@@ -261,32 +261,32 @@ By enabling these features, users accept the related risks. CC Switch is not res
Thanks to the following contributors for the features and fixes in v3.16.2: Thanks to the following contributors for the features and fixes in v3.16.2:
- [#1351](https://github.com/farion1231/cc-switch/pull/1351): add S3-compatible cloud storage sync, thanks [@keithyt06](https://github.com/keithyt06). - [#1351](https://github.com/farion1231/cc-switch/pull/1351): add S3-compatible cloud storage sync, thanks @keithyt06.
- [#3215](https://github.com/farion1231/cc-switch/pull/3215): add OpenCode session usage sync, thanks [@nothingness0db](https://github.com/nothingness0db). - [#3215](https://github.com/farion1231/cc-switch/pull/3215): add OpenCode session usage sync, thanks @nothingness0db.
- [#2709](https://github.com/farion1231/cc-switch/pull/2709): add the ZenMux Token Plan provider, thanks [@Eter365](https://github.com/Eter365). - [#2709](https://github.com/farion1231/cc-switch/pull/2709): add the ZenMux Token Plan provider, thanks @Eter365.
- [#3643](https://github.com/farion1231/cc-switch/pull/3643): add the CherryIN preset provider, thanks [@zhibisora](https://github.com/zhibisora). - [#3643](https://github.com/farion1231/cc-switch/pull/3643): add the CherryIN preset provider, thanks @zhibisora.
- [#3818](https://github.com/farion1231/cc-switch/pull/3818): add the Codex CLI reachability `GET /v1/models` endpoint, thanks [@CSberlin](https://github.com/CSberlin). - [#3818](https://github.com/farion1231/cc-switch/pull/3818): add the Codex CLI reachability `GET /v1/models` endpoint, thanks @CSberlin.
- [#3426](https://github.com/farion1231/cc-switch/pull/3426): Usage Dashboard hero redesign, thanks [@allenxu09](https://github.com/allenxu09). - [#3426](https://github.com/farion1231/cc-switch/pull/3426): Usage Dashboard hero redesign, thanks @allenxu09.
- [#3640](https://github.com/farion1231/cc-switch/pull/3640): drop `tool_choice` when tools is empty, thanks [@Postroggy](https://github.com/Postroggy). - [#3640](https://github.com/farion1231/cc-switch/pull/3640): drop `tool_choice` when tools is empty, thanks @Postroggy.
- [#3644](https://github.com/farion1231/cc-switch/pull/3644): preserve Codex custom tool metadata in chat routing, thanks [@LanternCX](https://github.com/LanternCX). - [#3644](https://github.com/farion1231/cc-switch/pull/3644): preserve Codex custom tool metadata in chat routing, thanks @LanternCX.
- [#3514](https://github.com/farion1231/cc-switch/pull/3514): always include `reasoning_tokens` in Chat→Responses, thanks [@yeeyzy](https://github.com/yeeyzy). - [#3514](https://github.com/farion1231/cc-switch/pull/3514): always include `reasoning_tokens` in Chat→Responses, thanks @yeeyzy.
- [#3689](https://github.com/farion1231/cc-switch/pull/3689): skip backup / restore when live is already a proxy placeholder, thanks [@YongmaoLuo](https://github.com/YongmaoLuo). - [#3689](https://github.com/farion1231/cc-switch/pull/3689): skip backup / restore when live is already a proxy placeholder, thanks @YongmaoLuo.
- [#3016](https://github.com/farion1231/cc-switch/pull/3016): normalize the localhost listen address, thanks [@Alexlangl](https://github.com/Alexlangl). - [#3016](https://github.com/farion1231/cc-switch/pull/3016): normalize the localhost listen address, thanks @Alexlangl.
- [#3775](https://github.com/farion1231/cc-switch/pull/3775): normalize Anthropic `system` messages, thanks [@Dearli666](https://github.com/Dearli666). - [#3775](https://github.com/farion1231/cc-switch/pull/3775): normalize Anthropic `system` messages, thanks @Dearli666.
- [#3656](https://github.com/farion1231/cc-switch/pull/3656): improve error message display in the proxy panel, thanks [@lzcndm](https://github.com/lzcndm). - [#3656](https://github.com/farion1231/cc-switch/pull/3656): improve error message display in the proxy panel, thanks @lzcndm.
- [#2647](https://github.com/farion1231/cc-switch/pull/2647): raise the infinite-whitespace threshold 20 → 500, thanks [@NiuBlibing](https://github.com/NiuBlibing). - [#2647](https://github.com/farion1231/cc-switch/pull/2647): raise the infinite-whitespace threshold 20 → 500, thanks @NiuBlibing.
- [#3702](https://github.com/farion1231/cc-switch/pull/3702): route the Zhipu quota query to the configured base URL, thanks [@YongmaoLuo](https://github.com/YongmaoLuo). - [#3702](https://github.com/farion1231/cc-switch/pull/3702): route the Zhipu quota query to the configured base URL, thanks @YongmaoLuo.
- [#3518](https://github.com/farion1231/cc-switch/pull/3518): adapt to the MiniMax new balance API and default pricing, thanks [@LaoYueHanNi](https://github.com/LaoYueHanNi). - [#3518](https://github.com/farion1231/cc-switch/pull/3518): adapt to the MiniMax new balance API and default pricing, thanks @LaoYueHanNi.
- [#3524](https://github.com/farion1231/cc-switch/pull/3524): fix the Zhipu Coding Plan presets and model probing for versioned endpoints, thanks [@makoMakoGo](https://github.com/makoMakoGo). - [#3524](https://github.com/farion1231/cc-switch/pull/3524): fix the Zhipu Coding Plan presets and model probing for versioned endpoints, thanks @makoMakoGo.
- [#3614](https://github.com/farion1231/cc-switch/pull/3614): use a relative filename for the model catalog, thanks [@steponeerror](https://github.com/steponeerror). - [#3614](https://github.com/farion1231/cc-switch/pull/3614): use a relative filename for the model catalog, thanks @steponeerror.
- [#3797](https://github.com/farion1231/cc-switch/pull/3797): fix the Windows tray icon residue after exit, thanks [@iAJue](https://github.com/iAJue). - [#3797](https://github.com/farion1231/cc-switch/pull/3797): fix the Windows tray icon residue after exit, thanks @iAJue.
- [#3457](https://github.com/farion1231/cc-switch/pull/3457): fix the Windows taskbar icon, thanks [@ZhangNanNan1018](https://github.com/ZhangNanNan1018). - [#3457](https://github.com/farion1231/cc-switch/pull/3457): fix the Windows taskbar icon, thanks @ZhangNanNan1018.
- [#3430](https://github.com/farion1231/cc-switch/pull/3430): normalize Windows path separators to match subdirectory skill updates, thanks [@Ninthless](https://github.com/Ninthless). - [#3430](https://github.com/farion1231/cc-switch/pull/3430): normalize Windows path separators to match subdirectory skill updates, thanks @Ninthless.
- [#3626](https://github.com/farion1231/cc-switch/pull/3626): disable macOS input auto-capitalization, thanks [@ZHLHZHU](https://github.com/ZHLHZHU). - [#3626](https://github.com/farion1231/cc-switch/pull/3626): disable macOS input auto-capitalization, thanks @ZHLHZHU.
- [#3593](https://github.com/farion1231/cc-switch/pull/3593): fix Codex VS Code session previews, thanks [@xwil1](https://github.com/xwil1). - [#3593](https://github.com/farion1231/cc-switch/pull/3593): fix Codex VS Code session previews, thanks @xwil1.
- [#3228](https://github.com/farion1231/cc-switch/pull/3228): align the VS Code wording in the Chinese UI, thanks [@Games55k](https://github.com/Games55k). - [#3228](https://github.com/farion1231/cc-switch/pull/3228): align the VS Code wording in the Chinese UI, thanks @Games55k.
- [#3411](https://github.com/farion1231/cc-switch/pull/3411): refresh the user manual to reflect current app support, thanks [@makoMakoGo](https://github.com/makoMakoGo). - [#3411](https://github.com/farion1231/cc-switch/pull/3411): refresh the user manual to reflect current app support, thanks @makoMakoGo.
- [#3772](https://github.com/farion1231/cc-switch/pull/3772): fix README release-note links and sponsor markup, thanks [@null-easy](https://github.com/null-easy). - [#3772](https://github.com/farion1231/cc-switch/pull/3772): fix README release-note links and sponsor markup, thanks @null-easy.
Thanks also to everyone who reported Codex Chat routing, local proxy takeover, usage statistics, and platform compatibility issues after v3.16.1. Many of these fixes came directly from real-world reproduction details. Thanks also to everyone who reported Codex Chat routing, local proxy takeover, usage statistics, and platform compatibility issues after v3.16.1. Many of these fixes came directly from real-world reproduction details.
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@@ -261,32 +261,32 @@ Codex は起動時に `model_catalog_json` を読み込みます。本リリー
v3.16.2 で機能と修正を届けてくださった以下のコントリビューターに感謝します: v3.16.2 で機能と修正を届けてくださった以下のコントリビューターに感謝します:
- [#1351](https://github.com/farion1231/cc-switch/pull/1351): S3 互換クラウドストレージ同期を追加、[@keithyt06](https://github.com/keithyt06) に感謝。 - [#1351](https://github.com/farion1231/cc-switch/pull/1351): S3 互換クラウドストレージ同期を追加、@keithyt06 に感謝。
- [#3215](https://github.com/farion1231/cc-switch/pull/3215): OpenCode セッション用量同期を追加、[@nothingness0db](https://github.com/nothingness0db) に感謝。 - [#3215](https://github.com/farion1231/cc-switch/pull/3215): OpenCode セッション用量同期を追加、@nothingness0db に感謝。
- [#2709](https://github.com/farion1231/cc-switch/pull/2709): ZenMux Token Plan プロバイダーを追加、[@Eter365](https://github.com/Eter365) に感謝。 - [#2709](https://github.com/farion1231/cc-switch/pull/2709): ZenMux Token Plan プロバイダーを追加、@Eter365 に感謝。
- [#3643](https://github.com/farion1231/cc-switch/pull/3643): CherryIN プリセットプロバイダーを追加、[@zhibisora](https://github.com/zhibisora) に感謝。 - [#3643](https://github.com/farion1231/cc-switch/pull/3643): CherryIN プリセットプロバイダーを追加、@zhibisora に感謝。
- [#3818](https://github.com/farion1231/cc-switch/pull/3818): Codex CLI 到達性確認用の `GET /v1/models` エンドポイントを追加、[@CSberlin](https://github.com/CSberlin) に感謝。 - [#3818](https://github.com/farion1231/cc-switch/pull/3818): Codex CLI 到達性確認用の `GET /v1/models` エンドポイントを追加、@CSberlin に感謝。
- [#3426](https://github.com/farion1231/cc-switch/pull/3426): 用量ダッシュボードのヒーロー再設計、[@allenxu09](https://github.com/allenxu09) に感謝。 - [#3426](https://github.com/farion1231/cc-switch/pull/3426): 用量ダッシュボードのヒーロー再設計、@allenxu09 に感謝。
- [#3640](https://github.com/farion1231/cc-switch/pull/3640): tools が空のとき `tool_choice` を破棄、[@Postroggy](https://github.com/Postroggy) に感謝。 - [#3640](https://github.com/farion1231/cc-switch/pull/3640): tools が空のとき `tool_choice` を破棄、@Postroggy に感謝。
- [#3644](https://github.com/farion1231/cc-switch/pull/3644): Chat ルーティングで Codex カスタムツールメタデータを保持、[@LanternCX](https://github.com/LanternCX) に感謝。 - [#3644](https://github.com/farion1231/cc-switch/pull/3644): Chat ルーティングで Codex カスタムツールメタデータを保持、@LanternCX に感謝。
- [#3514](https://github.com/farion1231/cc-switch/pull/3514): Chat→Responses で常に `reasoning_tokens` を含める、[@yeeyzy](https://github.com/yeeyzy) に感謝。 - [#3514](https://github.com/farion1231/cc-switch/pull/3514): Chat→Responses で常に `reasoning_tokens` を含める、@yeeyzy に感謝。
- [#3689](https://github.com/farion1231/cc-switch/pull/3689): live がすでにプロキシプレースホルダーのときバックアップ / 復元をスキップ、[@YongmaoLuo](https://github.com/YongmaoLuo) に感謝。 - [#3689](https://github.com/farion1231/cc-switch/pull/3689): live がすでにプロキシプレースホルダーのときバックアップ / 復元をスキップ、@YongmaoLuo に感謝。
- [#3016](https://github.com/farion1231/cc-switch/pull/3016): localhost リッスンアドレスを正規化、[@Alexlangl](https://github.com/Alexlangl) に感謝。 - [#3016](https://github.com/farion1231/cc-switch/pull/3016): localhost リッスンアドレスを正規化、@Alexlangl に感謝。
- [#3775](https://github.com/farion1231/cc-switch/pull/3775): Anthropic `system` メッセージを正規化、[@Dearli666](https://github.com/Dearli666) に感謝。 - [#3775](https://github.com/farion1231/cc-switch/pull/3775): Anthropic `system` メッセージを正規化、@Dearli666 に感謝。
- [#3656](https://github.com/farion1231/cc-switch/pull/3656): プロキシパネルのエラー表示を改善、[@lzcndm](https://github.com/lzcndm) に感謝。 - [#3656](https://github.com/farion1231/cc-switch/pull/3656): プロキシパネルのエラー表示を改善、@lzcndm に感謝。
- [#2647](https://github.com/farion1231/cc-switch/pull/2647): 無限空白検出のしきい値を 20 → 500 へ引き上げ、[@NiuBlibing](https://github.com/NiuBlibing) に感謝。 - [#2647](https://github.com/farion1231/cc-switch/pull/2647): 無限空白検出のしきい値を 20 → 500 へ引き上げ、@NiuBlibing に感謝。
- [#3702](https://github.com/farion1231/cc-switch/pull/3702): 智譜の残量照会を構成済み base URL へルーティング、[@YongmaoLuo](https://github.com/YongmaoLuo) に感謝。 - [#3702](https://github.com/farion1231/cc-switch/pull/3702): 智譜の残量照会を構成済み base URL へルーティング、@YongmaoLuo に感謝。
- [#3518](https://github.com/farion1231/cc-switch/pull/3518): MiniMax の新残量 API と既定価格に対応、[@LaoYueHanNi](https://github.com/LaoYueHanNi) に感謝。 - [#3518](https://github.com/farion1231/cc-switch/pull/3518): MiniMax の新残量 API と既定価格に対応、@LaoYueHanNi に感謝。
- [#3524](https://github.com/farion1231/cc-switch/pull/3524): 智譜 Coding Plan プリセットとバージョン付き endpoint のモデル探索を修正、[@makoMakoGo](https://github.com/makoMakoGo) に感謝。 - [#3524](https://github.com/farion1231/cc-switch/pull/3524): 智譜 Coding Plan プリセットとバージョン付き endpoint のモデル探索を修正、@makoMakoGo に感謝。
- [#3614](https://github.com/farion1231/cc-switch/pull/3614): モデルカタログを相対ファイル名に変更、[@steponeerror](https://github.com/steponeerror) に感謝。 - [#3614](https://github.com/farion1231/cc-switch/pull/3614): モデルカタログを相対ファイル名に変更、@steponeerror に感謝。
- [#3797](https://github.com/farion1231/cc-switch/pull/3797): Windows 終了後のトレイアイコン残留を修正、[@iAJue](https://github.com/iAJue) に感謝。 - [#3797](https://github.com/farion1231/cc-switch/pull/3797): Windows 終了後のトレイアイコン残留を修正、@iAJue に感謝。
- [#3457](https://github.com/farion1231/cc-switch/pull/3457): Windows タスクバーアイコンを修正、[@ZhangNanNan1018](https://github.com/ZhangNanNan1018) に感謝。 - [#3457](https://github.com/farion1231/cc-switch/pull/3457): Windows タスクバーアイコンを修正、@ZhangNanNan1018 に感謝。
- [#3430](https://github.com/farion1231/cc-switch/pull/3430): Windows のパス区切りを正規化してサブディレクトリスキルの更新に対応、[@Ninthless](https://github.com/Ninthless) に感謝。 - [#3430](https://github.com/farion1231/cc-switch/pull/3430): Windows のパス区切りを正規化してサブディレクトリスキルの更新に対応、@Ninthless に感謝。
- [#3626](https://github.com/farion1231/cc-switch/pull/3626): macOS の入力自動大文字化を無効化、[@ZHLHZHU](https://github.com/ZHLHZHU) に感謝。 - [#3626](https://github.com/farion1231/cc-switch/pull/3626): macOS の入力自動大文字化を無効化、@ZHLHZHU に感謝。
- [#3593](https://github.com/farion1231/cc-switch/pull/3593): Codex VS Code セッションプレビューを修正、[@xwil1](https://github.com/xwil1) に感謝。 - [#3593](https://github.com/farion1231/cc-switch/pull/3593): Codex VS Code セッションプレビューを修正、@xwil1 に感謝。
- [#3228](https://github.com/farion1231/cc-switch/pull/3228): 中国語 UI の VS Code 表記を揃える、[@Games55k](https://github.com/Games55k) に感謝。 - [#3228](https://github.com/farion1231/cc-switch/pull/3228): 中国語 UI の VS Code 表記を揃える、@Games55k に感謝。
- [#3411](https://github.com/farion1231/cc-switch/pull/3411): 現行のアプリ対応を反映してユーザーマニュアルを刷新、[@makoMakoGo](https://github.com/makoMakoGo) に感謝。 - [#3411](https://github.com/farion1231/cc-switch/pull/3411): 現行のアプリ対応を反映してユーザーマニュアルを刷新、@makoMakoGo に感謝。
- [#3772](https://github.com/farion1231/cc-switch/pull/3772): README のリリースノートリンクとスポンサー表記を修正、[@null-easy](https://github.com/null-easy) に感謝。 - [#3772](https://github.com/farion1231/cc-switch/pull/3772): README のリリースノートリンクとスポンサー表記を修正、@null-easy に感謝。
v3.16.1 リリース後に Codex Chat ルーティング、ローカルプロキシのテイクオーバー、用量統計、プラットフォーム互換性の問題を報告してくださったすべてのユーザーにも感謝します。今回の多くの修正は、実際の利用シーンから得られた再現情報に基づいています。 v3.16.1 リリース後に Codex Chat ルーティング、ローカルプロキシのテイクオーバー、用量統計、プラットフォーム互換性の問題を報告してくださったすべてのユーザーにも感謝します。今回の多くの修正は、実際の利用シーンから得られた再現情報に基づいています。
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@@ -261,32 +261,32 @@ Codex 在启动时读取 `model_catalog_json`。即使本版已把模型目录
感谢以下贡献者在 v3.16.2 中提交的功能与修复: 感谢以下贡献者在 v3.16.2 中提交的功能与修复:
- [#1351](https://github.com/farion1231/cc-switch/pull/1351):新增 S3 兼容云存储同步,感谢 [@keithyt06](https://github.com/keithyt06) - [#1351](https://github.com/farion1231/cc-switch/pull/1351):新增 S3 兼容云存储同步,感谢 @keithyt06
- [#3215](https://github.com/farion1231/cc-switch/pull/3215):新增 OpenCode 会话用量同步,感谢 [@nothingness0db](https://github.com/nothingness0db) - [#3215](https://github.com/farion1231/cc-switch/pull/3215):新增 OpenCode 会话用量同步,感谢 @nothingness0db
- [#2709](https://github.com/farion1231/cc-switch/pull/2709):新增 ZenMux Token Plan 供应商,感谢 [@Eter365](https://github.com/Eter365) - [#2709](https://github.com/farion1231/cc-switch/pull/2709):新增 ZenMux Token Plan 供应商,感谢 @Eter365
- [#3643](https://github.com/farion1231/cc-switch/pull/3643):新增 CherryIN 预设供应商,感谢 [@zhibisora](https://github.com/zhibisora) - [#3643](https://github.com/farion1231/cc-switch/pull/3643):新增 CherryIN 预设供应商,感谢 @zhibisora
- [#3818](https://github.com/farion1231/cc-switch/pull/3818):新增 Codex CLI 探活用的 `GET /v1/models` 端点,感谢 [@CSberlin](https://github.com/CSberlin) - [#3818](https://github.com/farion1231/cc-switch/pull/3818):新增 Codex CLI 探活用的 `GET /v1/models` 端点,感谢 @CSberlin
- [#3426](https://github.com/farion1231/cc-switch/pull/3426):用量看板 Hero 重新设计,感谢 [@allenxu09](https://github.com/allenxu09) - [#3426](https://github.com/farion1231/cc-switch/pull/3426):用量看板 Hero 重新设计,感谢 @allenxu09
- [#3640](https://github.com/farion1231/cc-switch/pull/3640):空 tools 时丢弃 `tool_choice`,感谢 [@Postroggy](https://github.com/Postroggy) - [#3640](https://github.com/farion1231/cc-switch/pull/3640):空 tools 时丢弃 `tool_choice`,感谢 @Postroggy
- [#3644](https://github.com/farion1231/cc-switch/pull/3644)Chat 路由保留 Codex 自定义工具元数据,感谢 [@LanternCX](https://github.com/LanternCX) - [#3644](https://github.com/farion1231/cc-switch/pull/3644)Chat 路由保留 Codex 自定义工具元数据,感谢 @LanternCX
- [#3514](https://github.com/farion1231/cc-switch/pull/3514)Chat→Responses 始终包含 `reasoning_tokens`,感谢 [@yeeyzy](https://github.com/yeeyzy) - [#3514](https://github.com/farion1231/cc-switch/pull/3514)Chat→Responses 始终包含 `reasoning_tokens`,感谢 @yeeyzy
- [#3689](https://github.com/farion1231/cc-switch/pull/3689):live 已是代理占位符时跳过备份 / 恢复,感谢 [@YongmaoLuo](https://github.com/YongmaoLuo) - [#3689](https://github.com/farion1231/cc-switch/pull/3689):live 已是代理占位符时跳过备份 / 恢复,感谢 @YongmaoLuo
- [#3016](https://github.com/farion1231/cc-switch/pull/3016):归一化 localhost 监听地址,感谢 [@Alexlangl](https://github.com/Alexlangl) - [#3016](https://github.com/farion1231/cc-switch/pull/3016):归一化 localhost 监听地址,感谢 @Alexlangl
- [#3775](https://github.com/farion1231/cc-switch/pull/3775):规范化 Anthropic `system` 消息,感谢 [@Dearli666](https://github.com/Dearli666) - [#3775](https://github.com/farion1231/cc-switch/pull/3775):规范化 Anthropic `system` 消息,感谢 @Dearli666
- [#3656](https://github.com/farion1231/cc-switch/pull/3656):改进代理面板错误信息展示,感谢 [@lzcndm](https://github.com/lzcndm) - [#3656](https://github.com/farion1231/cc-switch/pull/3656):改进代理面板错误信息展示,感谢 @lzcndm
- [#2647](https://github.com/farion1231/cc-switch/pull/2647):调高无限空白检测阈值 20 → 500,感谢 [@NiuBlibing](https://github.com/NiuBlibing) - [#2647](https://github.com/farion1231/cc-switch/pull/2647):调高无限空白检测阈值 20 → 500,感谢 @NiuBlibing
- [#3702](https://github.com/farion1231/cc-switch/pull/3702):智谱配额查询按所配 base URL 路由,感谢 [@YongmaoLuo](https://github.com/YongmaoLuo) - [#3702](https://github.com/farion1231/cc-switch/pull/3702):智谱配额查询按所配 base URL 路由,感谢 @YongmaoLuo
- [#3518](https://github.com/farion1231/cc-switch/pull/3518):适配 MiniMax 余额查询新接口与默认定价,感谢 [@LaoYueHanNi](https://github.com/LaoYueHanNi) - [#3518](https://github.com/farion1231/cc-switch/pull/3518):适配 MiniMax 余额查询新接口与默认定价,感谢 @LaoYueHanNi
- [#3524](https://github.com/farion1231/cc-switch/pull/3524):修复智谱 Coding Plan 预设与带版本号端点的模型探测,感谢 [@makoMakoGo](https://github.com/makoMakoGo) - [#3524](https://github.com/farion1231/cc-switch/pull/3524):修复智谱 Coding Plan 预设与带版本号端点的模型探测,感谢 @makoMakoGo
- [#3614](https://github.com/farion1231/cc-switch/pull/3614):模型目录改用相对文件名,感谢 [@steponeerror](https://github.com/steponeerror) - [#3614](https://github.com/farion1231/cc-switch/pull/3614):模型目录改用相对文件名,感谢 @steponeerror
- [#3797](https://github.com/farion1231/cc-switch/pull/3797):修复 Windows 退出后托盘图标残留,感谢 [@iAJue](https://github.com/iAJue) - [#3797](https://github.com/farion1231/cc-switch/pull/3797):修复 Windows 退出后托盘图标残留,感谢 @iAJue
- [#3457](https://github.com/farion1231/cc-switch/pull/3457):修复 Windows 任务栏图标,感谢 [@ZhangNanNan1018](https://github.com/ZhangNanNan1018) - [#3457](https://github.com/farion1231/cc-switch/pull/3457):修复 Windows 任务栏图标,感谢 @ZhangNanNan1018
- [#3430](https://github.com/farion1231/cc-switch/pull/3430):归一化 Windows 路径分隔符以匹配子目录技能更新,感谢 [@Ninthless](https://github.com/Ninthless) - [#3430](https://github.com/farion1231/cc-switch/pull/3430):归一化 Windows 路径分隔符以匹配子目录技能更新,感谢 @Ninthless
- [#3626](https://github.com/farion1231/cc-switch/pull/3626):关闭 macOS 输入框自动大写,感谢 [@ZHLHZHU](https://github.com/ZHLHZHU) - [#3626](https://github.com/farion1231/cc-switch/pull/3626):关闭 macOS 输入框自动大写,感谢 @ZHLHZHU
- [#3593](https://github.com/farion1231/cc-switch/pull/3593):修复 Codex VS Code 会话预览,感谢 [@xwil1](https://github.com/xwil1) - [#3593](https://github.com/farion1231/cc-switch/pull/3593):修复 Codex VS Code 会话预览,感谢 @xwil1
- [#3228](https://github.com/farion1231/cc-switch/pull/3228):对齐中文界面 VS Code 文案,感谢 [@Games55k](https://github.com/Games55k) - [#3228](https://github.com/farion1231/cc-switch/pull/3228):对齐中文界面 VS Code 文案,感谢 @Games55k
- [#3411](https://github.com/farion1231/cc-switch/pull/3411):刷新用户手册以反映当前应用支持,感谢 [@makoMakoGo](https://github.com/makoMakoGo) - [#3411](https://github.com/farion1231/cc-switch/pull/3411):刷新用户手册以反映当前应用支持,感谢 @makoMakoGo
- [#3772](https://github.com/farion1231/cc-switch/pull/3772):修复 README release note 链接与赞助商标记,感谢 [@null-easy](https://github.com/null-easy) - [#3772](https://github.com/farion1231/cc-switch/pull/3772):修复 README release note 链接与赞助商标记,感谢 @null-easy。
也感谢所有在 v3.16.1 发布后反馈 Codex Chat 路由、本地代理接管、用量统计和平台兼容性问题的用户,很多补丁都来自这些真实使用场景里的复现线索。 也感谢所有在 v3.16.1 发布后反馈 Codex Chat 路由、本地代理接管、用量统计和平台兼容性问题的用户,很多补丁都来自这些真实使用场景里的复现线索。
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@@ -0,0 +1,339 @@
# CC Switch v3.16.3
> 🎉 **CC Switch has passed 100,000 Stars!**
> Thank you to every user, contributor, and Star — you are the reason it has come this far. 🙏
> 💎 **This release was developed with help from the Claude Fable 5 model** — it helped untangle several critical, error-prone pieces of logic: the attribution chain that bills route-takeover traffic by the real upstream model, the metering and de-duplication of cache tokens on format-conversion paths, the in-app update restart deadlock, and the migration / restore invariants of Codex unified session history. This is also why this release adds a **Fable 5 Verified** badge to the About page.
> After v3.16.2 broadened data portability and usage observability, this release puts the focus on "making usage billing truly accurate" — billing by the real upstream model, fixing cache double-counting on format-conversion paths, counting Claude Code Workflow sub-agent usage (schema v11), and a round of redesign for the usage dashboard (dashboard-wide provider / model filters, a brand-icon toolbar, and more resilient quota queries) — while also hardening a batch of local proxy and platform issues, adding a custom User-Agent override, a Codex unified session history toggle, and a Claude Fable 5 tier.
**[中文版 →](v3.16.3-zh.md) | [日本語版 →](v3.16.3-ja.md)**
---
## Usage Guides
This release changes how usage is counted and reworks the dashboard quite a bit, so it is worth starting here:
- **[Usage Statistics](../user-manual/en/4-proxy/4.4-usage.md)**: understand the Usage Dashboard's data sources (proxy logs, session sync) and how the statistics are counted. This release adds dashboard-wide provider / model filters and surfaces the real pricing model for route-takeover traffic.
- **[Settings](../user-manual/en/1-getting-started/1.5-settings.md)**: the custom User-Agent override, the Codex unified session history toggle, and other switches live in the provider form's advanced options and on the settings page.
---
> [!WARNING]
>
> ## Only Official Channels (Please Read)
>
> CC Switch is a **fully free and open-source** desktop app, and we **do not charge users any fees**. Please only obtain the software through the official channels listed below:
>
> | Channel | Only Official |
> | ------------------ | ------------------------------------------------------------------------------ |
> | Website | **[ccswitch.io](https://ccswitch.io)** |
> | Source | **[github.com/farion1231/cc-switch](https://github.com/farion1231/cc-switch)** |
> | Downloads | **[GitHub Releases](https://github.com/farion1231/cc-switch/releases)** |
> | Author | **[@farion1231](https://github.com/farion1231)** |
> | Report an Imposter | **[GitHub Issues](https://github.com/farion1231/cc-switch/issues)** |
>
> **Any "CC Switch" website or client that asks you for payment, top-ups, or login credentials is fake.** If you have been tricked into paying, stop the transaction immediately and file a report through GitHub Issues.
---
## Overview
CC Switch v3.16.3 is a maintenance update following v3.16.2. After the previous release concentrated on broadening data portability and usage observability, this release puts the focus on "making usage billing truly accurate" — billing by the real upstream model rather than whatever the upstream echoes back, fixing the cache-token double-counting on format-conversion paths (Chat / Responses / Gemini converted to Anthropic), folding Claude Code Workflow sub-agent usage into the local statistics, and persisting the actual pricing basis used by each record as schema v11. The usage dashboard was reworked along with it, adding dashboard-wide provider / model filters, a brand-icon toolbar, and more resilient quota queries (retry on failure plus keeping the last successful result).
In addition, this release hardens a batch of local proxy robustness issues (aggregating SSE responses returned under a mislabeled Content-Type, Codex `/responses` image rectification for text-only models, recovery of Codex OAuth credentials and takeover residue, duplicate YAML keys in Hermes config), reworks the provider configuration experience (a custom User-Agent override, a unified Codex advanced section, searchable and sortable presets, a Claude Fable 5 tier), adds a Codex unified session history toggle, and fixes the in-app update hang, the Codex upgrade that broke the install, duplicate macOS terminal windows, and more.
**Release date**: 2026-06-14
**Stats**: 59 commits | 130 files changed | +10,223 / -4,232 lines
---
## Highlights
- **More accurate usage billing**: route-takeover traffic is now billed by the real upstream model (not the alias the upstream echoes back), format-conversion paths no longer count cache tokens into input twice, and Claude Code Workflow sub-agent usage is now counted — with the pricing basis persisted as schema v11.
- **Usage dashboard redesign**: provider / model filters are promoted from inside the request-log table up to dashboard-wide filters, the app filter switches to brand icons, and quota queries gain retry-on-failure plus "keep the last successful result" so a single network blip no longer turns cards red.
- **Custom User-Agent override**: providers can set a custom UA that applies consistently across forwarding, connectivity detection, and model listing, getting past coding-plan upstreams that gate on a UA whitelist (which is how the Codex "Kimi For Coding" preset was restored).
- **Codex unified session history**: a new opt-in toggle lets official Codex sessions share a single resume-history bucket with third-party sessions, with optional migration of existing sessions and precise ledger-based restore.
- **Proxy and platform hardening**: aggregating mislabeled SSE responses, Codex image rectification, takeover-residue recovery, Hermes YAML de-duplication; in-app updates no longer hang on "restarting", and Codex upgrades no longer break the install.
---
## Added
### Custom User-Agent Override
Provider configs can now set a custom User-Agent that the proxy applies consistently across request forwarding, stream check, and model listing (`GET /v1/models`), so coding-plan upstreams that gate on UA no longer fail detection or return 403 while the proxy itself works. The Claude and Codex forms expose it in advanced settings with a curated presets dropdown (Claude Code / Kilo Code families that pass UA whitelists) and live non-blocking validation; stale custom UAs are dropped when switching to an official preset to avoid silently altering headers (#3671).
### Unified Codex Session History
Official Codex sessions can now share a single resume-history bucket with cc-switch third-party sessions via an opt-in toggle under Settings → Codex App Enhancements, so the resume picker no longer hides them from each other. When enabled, the live `config.toml` routes official runs through a shared `custom` model_provider that mirrors the built-in OpenAI provider (`auth.json` is untouched); the toggle is forward-only by default but the enable dialog offers a checkbox to migrate existing official sessions (with per-generation backups), and the disable dialog offers a precise ledger-based restore that only reverts sessions originally recorded as `openai` while leaving sessions created during the toggle untouched.
### Dashboard-Wide Provider / Model Filters
The provider and model filters move from inside the request-log table up to the top bar, applying globally to the hero summary, trend chart, request logs, and both stats tabs so you can scope the whole dashboard to a given source and model. Sources match by exact display name (so session placeholder rows like "Claude (Session)" are selectable) and models match by effective pricing model, with the model dropdown cascading from the selected source and both lists showing only options that have data in the current range.
### Refreshed Model Pricing Seed
Added pricing for 9 models including Claude Fable 5, Grok 4.3, Mistral Medium 3.5 / Small 4, and Qwen 3.7 Max/Plus, and corrected 28 existing prices against current official vendor list pricing (GLM, Grok, MiMo, Doubao, Kimi, MiniMax, Mistral, Qwen) so usage cost estimates are accurate. Each change updates the seed for fresh installs and adds a guarded repair for existing databases without clobbering user-edited rows.
### Claude Fable 5 Model Tier
Provider forms now expose `claude-fable-5` as a fourth model-mapping tier on both the Claude Code and Claude Desktop proxy paths, with a fable → opus → default fallback mirroring the official downgrade and the `fable-` prefix whitelisted for the Desktop 1.12603.1+ validator. A clarified four-language fallback hint warns that leaving a tier blank on third-party endpoints forwards the literal model name and 404s (#3980, #4026, #4049).
### Unity2.ai Partner Provider
Added Unity2.ai, an AI API relay partner, as a preset across all seven managed apps (Claude Code, Codex, Gemini, OpenCode, OpenClaw, Claude Desktop, Hermes), each carrying the referral signup link and partner promotion copy in all four locales. Codex uses the bare base URL (the gateway exposes `/responses` at root) while OpenCode / OpenClaw / Hermes use the `/v1` chat-completions endpoint with `gpt-5.5`.
### Kimi K2.7 Code Model
Added the `kimi-k2.7-code` model (in $0.95 / out $4.00 / cache-read $0.19 per 1M tokens, 256K context) and pointed all six official Moonshot Kimi presets (Claude Code, Codex, Claude Desktop, Hermes, OpenCode, OpenClaw) at it, renaming the OpenCode / OpenClaw presets to "Kimi K2.7 Code". The pricing seed applies on startup via the idempotent insert path, so existing users pick up the new pricing without a migration.
### Codex "Kimi For Coding" Preset Restored
Re-added the Codex "Kimi For Coding" preset (`openai_chat`, `kimi-for-coding`, 256K context) with thinking mode enabled by default; it was previously removed because the coding endpoint rejects Codex's default `codex-cli` User-Agent with 403. It now works via proxy takeover combined with the custom User-Agent override (set to a whitelisted UA such as `claude-cli/*`).
### Pricing-Model Audit in Request Detail
The request detail panel now shows the requested model and the pricing model when they differ from the response model, making route-takeover bills auditable directly from the usage UI.
### Preset Provider Search & Sorting
The provider preset selector gains a searchable, sorted list with an inline search box (toggled via a magnifier icon, dismissed on ESC or outside click). Buttons use a responsive grid with consistent sizing and default icons, and search matches only provider display/raw names so URL fragments and shared category labels no longer produce noisy matches (#3975, #4183).
### Claude Mythos 5 Pricing
Registered the `claude-mythos-5` model in the bundled model/pricing table (in $10 / out $50 per 1M tokens, cache read $1.00, cache write $12.50), so usage metering prices and displays it correctly (#4077).
### Fable 5 Verified Banner
The Settings About page now displays a Fable 5 Verified banner beside the app name and version, marking this as a special build, with the version badge centered under the app name.
---
## Changed
### Claude Desktop Usage Folded Into Claude
The dashboard no longer shows a standalone "Claude Desktop" bucket, which only ever displayed a partial number (Desktop chat usage never passes through the proxy and its Code-tab sessions write into the shared `~/.claude/projects` tree). Desktop proxy traffic is now folded into the `claude` view for display while still recorded under its own `app_type` for route-takeover billing audit, with the real value visible in the request detail panel.
### Lightweight Provider Health Check
The provider health check no longer sends a real streaming model request (which many third-party providers blocked with 401/403/WAF, causing false negatives); it now performs a lightweight HTTP reachability probe of the provider `base_url`, treating any HTTP response as reachable and counting only DNS/connect/TLS/timeout as failure. The connectivity button is hidden for official providers (which use OAuth with an empty base URL and no reliable reachability target), the real-request confirmation dialog and test model/prompt fields are removed, and the degraded-latency threshold is set to 6s with an 8s timeout. The reachability check never resets the circuit breaker, so failover detection stays driven solely by real proxy traffic.
### Codex Advanced Options Section
The Codex provider form now folds local routing, model mapping, reasoning overrides, and custom User-Agent into a single collapsible advanced section mirroring the Claude form (auto-expanding when a UA is set or local routing is on). Custom User-Agent is now also configurable for native Responses providers, where it was previously reachable only with `openai_chat` routing enabled.
### Usage Toolbar Refresh and Layout
The app filter now renders brand icons (via ProviderIcon, with a grid icon for "All") instead of text tabs that wrapped awkwardly in narrow windows, and the usage hero shows the selected app's brand icon with Codex recolored to a neutral gray matching OpenAI's monochrome branding. The click-to-cycle refresh button becomes a Select with a localized "off" label, and the top-bar controls are compacted and aligned into consistent width groups with truncated long date-range labels.
### Faster About Panel Loading
The Settings About panel now loads progressively: the app version badge appears the instant it resolves instead of waiting for tool probes, each tool card updates the moment its own version check finishes (probes run concurrently rather than sequentially), and results are cached for the app session with a 10-minute TTL so reopening the About tab reuses cached values and revalidates stale ones in the background instead of re-probing all six tools every time.
### Volcengine Ark Coding Plan Promo
Updated the Volcengine Ark preset across all six apps with the new Coding Plan invite link (replacing the old Agent Plan / activity links) and refreshed the partner promotion copy in all four locales (two-month 75% off plus invite code 6J6FV5N2), correcting the product name from Agent Plan to Coding Plan.
### MiniMax Demoted to Regular Provider
Removed the gold partner star badge and the API-key promotion banner for MiniMax by dropping the `isPartner` flag from all its presets; it stays as a regular `cn_official` provider keeping its icon and theme. The promotion copy is kept dormant so the partnership can be re-enabled with a single line.
### LemonData Removed, SudoCode Demoted
Removed the LemonData provider preset entirely from all apps along with its promotion copy, icons, and sponsor listings, and demoted SudoCode from a partner to a regular `third_party` provider by dropping its `isPartner` flag and promotion copy (it keeps its icon).
### AtlasCloud Codex GLM 5.1 Context Window
Declared the 200,000-token context window for the `zai-org/glm-5.1` model in the AtlasCloud Codex preset, matching the other GLM 5.1 preset entries.
---
## Fixed
### Route-Takeover Traffic Billed by the Real Upstream Model
When a request was routed to a different upstream (env model mapping, Claude Desktop routes, Copilot normalization, Codex chat override), the proxy used to attribute and price usage by whatever model the upstream echoed back, recording kimi/glm tokens as `claude-*` and overstating cost roughly 525×. The forwarder now captures the real outbound model, attributes usage by upstream-echo then outbound then client alias, persists the actual pricing basis on every row (schema v11), and keeps that basis through cost backfill and 30-day rollup pruning; Claude Desktop traffic is now logged under its own `app_type` so its pricing overrides apply.
### Usage Metering on Format-Conversion Proxy Paths
Audited and fixed token/cache accounting across the proxy's format-conversion paths (Chat, Responses, and Gemini converted to Anthropic). The proxy now records the actually returned model, injects `stream_options.include_usage` so OpenAI-compatible upstreams emit usage in streaming, excludes `cache_read` and `cache_creation` from input on Claude←OpenAI paths to stop double-billing cache tokens, subtracts cached Gemini prompt tokens, still records fully-cached requests, and skips synthetic all-zero usage that previously inflated request counts (#2774).
### In-App Update No Longer Hangs on Restart
Installing an update from within the app no longer freezes on the "restarting" screen, leaving the new version installed but requiring a manual force-quit. The download-install-restart chain now runs entirely in the backend (a new `install_update_and_restart` command) with platform-aware install ordering and single-instance-lock teardown before re-exec, instead of depending on the old WebView to keep running JS after the app bundle was already swapped; exit requests are also classified so restart requests fall through to Tauri's default flow rather than deadlocking on the window-state plugin mutex (#4069, #4074).
### Codex Upgrade No Longer Breaks the Install
Upgrading Codex from the Settings "About" tab no longer leaves it throwing "Missing optional dependency @openai/codex-…" errors. The upgrade chain previously ran `codex update` first, which on an npm install is a bare reinstall that reports success even when the per-platform binary fails to land; Codex is now removed from the self-update-first path and a runnable check triggers an uninstall+reinstall self-heal (scoped to npm-managed installs) that actually re-lands the missing platform binary.
### Codex OAuth Auth Token Preserved on Proxy Takeover
Enabling proxy takeover for a Codex provider no longer strips the `ANTHROPIC_AUTH_TOKEN` placeholder, which previously broke Claude Code's login on hot-switches, fresh installs, and configs already stripped by older releases. The placeholder is now injected unconditionally for managed (non-Copilot) Codex providers, including URL-only ones; GitHub Copilot behavior (API_KEY only) is unchanged (#3789, #3784).
### Takeover-Residue Recovery Across Config-Dir Switches
Restarting the app after changing the config directory while proxy takeover is active no longer leaves Claude/Codex/Gemini pointed at a dead local proxy. The old instance now restores the taken-over live files before restarting, the first-run import refuses to persist a takeover placeholder as a provider, and SSOT restore validates that the current provider's config is free of placeholders before writing it back (#4076).
### Mislabeled SSE Bodies in Format-Transform Fallback
Requests routed through Claude/Codex format conversion no longer fail with an opaque 422 "Failed to parse upstream response" when a MaaS gateway force-streams a `stream:false` request and returns an SSE body under a non-SSE Content-Type. The proxy now sniffs for SSE on parse failure, aggregates the chunks into a single JSON, and runs the existing converter so clients still get a valid non-stream response; remaining parse failures are enriched with content-type, encoding, and body-snippet diagnostics, and deflate decoding now tries zlib before raw (#2234).
### Duplicate YAML Keys in Hermes Config
Hermes config writes no longer accumulate duplicate top-level keys (e.g. `mcp_servers`) that caused "Failed to parse Hermes config as YAML: duplicate entry with key" errors. Section replacement now strips all stale occurrences from the remainder instead of degrading into appends, the dedup safety net handles both LF and CRLF line endings, and healing keeps the last (newest) occurrence to match Hermes's own last-wins PyYAML semantics (#3267, #3633, #2973, #2529, #3310, #3762).
### Usage Query Resilience and Error Clarity
Usage cards no longer flip to red on a single transient blip: queries now retry once and keep showing the last successful result for up to 10 minutes on network/timeout/5xx failures, while deterministic failures (auth, empty key, unknown provider, 4xx) surface immediately and clear the snapshot so a stale quota can't resurface after credentials change. Native balance/coding-plan/subscription timeouts were raised from 10s to 15s for slow cross-border endpoints, and coding-plan now returns explicit "API key is empty" / "Unknown coding plan provider" errors instead of a blank failure.
### Usage Script Provider Credential Resolution
Custom JS-script usage queries resolved `{{apiKey}}` / `{{baseUrl}}` by guessing env fields only, so providers that store credentials elsewhere (e.g. Codex's `auth.OPENAI_API_KEY` plus `config.toml` base_url) always got empty values and failed despite being fully configured. Script queries and the test/preview now reuse the same per-app credential resolver as the native balance path, with explicit non-empty script values still taking precedence (#1479).
### Claude Code Workflow Sub-Agent Usage Counted
Local (no-proxy) session-log usage accounting missed Claude Code Workflow sub-agent traffic, under-counting overall usage by roughly 4.1% (concentrated in workflow/subagent transcripts). The scanner now descends into the deeper `subagents/workflows/wf_*/` transcript directories, and the parser no longer drops billable assistant messages that lack a `stop_reason` but already incurred input/cache token cost; dedup is unchanged so no usage is double-counted.
### Codex Image Rectifier for /responses Text-Only Upstreams
Codex `/responses` requests carrying images and routed to text-only OpenAI-chat models (e.g. DeepSeek `deepseek-v4-flash`) no longer fail with HTTP 400 "unknown variant `image_url`". The media rectifier now also covers the Codex adapter, scanning the responses `input` for `input_image` blocks so it can proactively strip images for known text-only models and reactively retry with images replaced on upstream image-unsupported errors.
### Zhipu Coding-Plan Quota Window Mislabeling
The Zhipu coding-plan view no longer swaps the 5-hour and weekly quota buckets in the final hours of each weekly cycle. The two windows are now classified by the explicit `unit` field (3 = 5-hour, 6 = weekly) instead of by sorting reset-time ascending, which mislabeled them exactly when users check their weekly quota most; the old reset-time heuristic remains as a fallback (#3036).
### Duplicate Provider Terminal Sessions on macOS
Launching a provider terminal on macOS no longer opens an extra empty window alongside the command session; Terminal.app uses `launch` (not `activate`) on cold start and Ghostty uses an initial-command so a single session opens, with a fallback retained if the AppleScript path fails (#4156).
### Claude Desktop Model-Mapping Placeholders
The Claude Desktop model-mapping form previously showed mismatched example brands across the menu display name and request model columns (DeepSeek vs Kimi), implying a display name maps to an unrelated model. Both placeholders are now derived from each row's role so they stay brand-consistent, with the lightweight Haiku tier using a flash example.
### Popovers Behind Fullscreen Panels
Popovers and tooltips such as the provider preset search no longer render behind fullscreen panels and appear unresponsive on click; their z-index is raised above the fullscreen overlay while staying below modal dialogs.
### ToggleRow Icon Shrinking
Toggle row icons no longer shrink or distort when paired with long descriptions, keeping the icon at a fixed size next to multi-line text.
---
## Documentation
### Release Notes Contributor Mentions
Restored contributor mentions in the v3.16.1 and v3.16.2 release notes across all three locales.
---
## Upgrade Notes
### Pricing Database schema v11 Auto-Migration
This release adds a `pricing_model` column to `proxy_request_logs` and rebuilds the rollup by `request_model` + `pricing_model`, migrating automatically on startup with no manual action required. Historical rows have their cost frozen at write time and are not recalculated (rows with `app_type="claude"` mix native and converted sources); only real but previously un-priced takeover rows stay at zero cost until pricing is supplied and then backfilled.
### Model Mapping Adds a Fourth Tier (Fable 5)
The Claude Code and Claude Desktop model mappings now have four tiers (Sonnet / Opus / Fable / Haiku). Older three-tier providers pick up the `claude-fable-5` tier after being reopened and saved; leaving that tier blank means it inherits Sonnet. Note: leaving any tier blank on third-party endpoints forwards the literal model name of that tier and may 404, so fill it in as needed.
### The "Kimi For Coding" Preset Needs Proxy Takeover + a Whitelisted UA
The restored Codex "Kimi For Coding" preset is still rejected with 403 if used with the default `codex-cli` User-Agent. To use it, enable proxy takeover and set the custom User-Agent in the provider's advanced options to a whitelisted UA (such as `claude-cli/*`).
### Provider Health Check Semantics Changed
The health check changed from "send a real model request" to "HTTP reachability probe". Note that reachable ≠ usable: a host that returns 403 is reachable but may be broken for real traffic. Failover decisions remain driven solely by real proxy traffic and are unaffected by the health check.
---
## Risk Notice
This release continues the risk notices from previous versions for reverse-proxy-style features.
**Codex OAuth reverse proxy**: using a ChatGPT subscription's Codex OAuth through a reverse proxy may violate OpenAI's terms of service. See the [v3.13.0 release notes](v3.13.0-en.md#-risk-notice) for details.
**Codex third-party provider Chat routing**: when CC Switch local proxy converts and forwards Codex requests to third-party providers, each provider may have different requirements for billing, compliance, and data retention. Read the target provider's terms before use.
**Claude Desktop third-party provider proxy switching**: when CC Switch's built-in proxy gateway forwards Claude Desktop requests to third-party providers, you must also follow the target provider's billing, compliance, and data-retention terms.
By enabling these features, users accept the related risks. CC Switch is not responsible for account restrictions, warnings, or service suspensions caused by using these features.
---
## Thanks
Thanks to the following contributors for the features and fixes in v3.16.3:
- [#3789](https://github.com/farion1231/cc-switch/pull/3789): preserve Codex OAuth auth token on takeover, thanks @codeasier.
- [#2774](https://github.com/farion1231/cc-switch/pull/2774): fix model / input-token recording on Completions→Anthropic, thanks @LaoYueHanNi.
- [#4069](https://github.com/farion1231/cc-switch/pull/4069): fix the deadlock on relaunch after an in-app update, thanks @thisTom.
- [#4156](https://github.com/farion1231/cc-switch/pull/4156): fix duplicate provider terminal sessions on macOS, thanks @thisTom.
- [#3267](https://github.com/farion1231/cc-switch/pull/3267): fix duplicate YAML keys in the Hermes config, thanks @que3sui.
- [#1479](https://github.com/farion1231/cc-switch/pull/1479): fix usage script provider credential resolution, thanks @pa001024.
- [#3975](https://github.com/farion1231/cc-switch/pull/3975): add preset search and sorting, thanks @Nastem.
- [#4183](https://github.com/farion1231/cc-switch/pull/4183): adjust the preset-provider button appearance and search-box position, thanks @WangJiati.
- [#4077](https://github.com/farion1231/cc-switch/pull/4077): add claude-mythos-5 model pricing, thanks @osscv.
Thanks also to everyone who reported usage billing, local proxy robustness, Codex upgrade, and platform compatibility issues after v3.16.2. Many of these fixes came directly from real-world reproduction details.
---
## Download & Install
Visit [Releases](https://github.com/farion1231/cc-switch/releases/latest) and download the build for your system.
### System Requirements
| System | Minimum Version | Architecture |
| ------- | ------------------------ | ----------------------------------- |
| Windows | Windows 10 and later | x64 |
| macOS | macOS 12 (Monterey)+ | Intel (x64) / Apple Silicon (arm64) |
| Linux | See table below | x64 / ARM64 |
### Windows
| File | Description |
| ---------------------------------------- | ------------------------------------------------ |
| `CC-Switch-v3.16.3-Windows.msi` | **Recommended** - MSI installer with auto-update |
| `CC-Switch-v3.16.3-Windows-Portable.zip` | Portable build, unzip and run |
### macOS
| File | Description |
| -------------------------------- | ----------------------------------------------------- |
| `CC-Switch-v3.16.3-macOS.dmg` | **Recommended** - DMG installer, drag to Applications |
| `CC-Switch-v3.16.3-macOS.zip` | Unzip and drag to Applications, Universal Binary |
| `CC-Switch-v3.16.3-macOS.tar.gz` | For Homebrew install and auto-update |
Homebrew install:
```bash
brew install --cask cc-switch
```
Upgrade:
```bash
brew upgrade --cask cc-switch
```
### Linux
Linux assets are available for both **x86_64** and **ARM64** (`aarch64`). Choose the file whose architecture tag matches your machine's `uname -m` output:
- `CC-Switch-v3.16.3-Linux-x86_64.AppImage` / `.deb` / `.rpm`
- `CC-Switch-v3.16.3-Linux-arm64.AppImage` / `.deb` / `.rpm`
| Distribution | Recommended Format | Install Command |
| --------------------------------------- | ------------------ | --------------------------------------------------------------------- |
| Ubuntu / Debian / Linux Mint / Pop!\_OS | `.deb` | `sudo dpkg -i CC-Switch-*.deb` or `sudo apt install ./CC-Switch-*.deb` |
| Fedora / RHEL / CentOS / Rocky Linux | `.rpm` | `sudo rpm -i CC-Switch-*.rpm` or `sudo dnf install ./CC-Switch-*.rpm` |
| openSUSE | `.rpm` | `sudo zypper install ./CC-Switch-*.rpm` |
| Arch Linux / Manjaro | `.AppImage` | Make executable and run directly, or use AUR |
| Other distributions / unsure | `.AppImage` | `chmod +x CC-Switch-*.AppImage && ./CC-Switch-*.AppImage` |
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# CC Switch v3.16.3
> 🎉 **CC Switch が 100,000 Star を突破しました!**
> すべてのユーザー・コントリビューター・Star をくださった方々に感謝します —— 皆さんのおかげでここまで来ました。🙏
> 💎 **本リリースは Claude Fable 5 モデルの協力のもとで開発されました**——重要かつ間違えやすいロジックの整理を手伝ってくれました: ルーティングテイクオーバー時に本物の上流モデルで課金する帰属チェーン、形式変換経路でのキャッシュ token の計上と重複排除、アプリ内更新の再起動デッドロック、そして Codex 統一セッション履歴の移行 / 復元の不変条件です。本リリースの「バージョン情報」ページに **Fable 5 Verified** バッジを新設したのもこのためです。
> v3.16.2 でデータの可搬性と使用量の可観測性を広げたのに続き、本リリースは「使用量の課金を本当に正確にする」ことに重きを置いています——本物の上流モデルで課金し、形式変換経路でのキャッシュの二重計上を修正し、Claude Code Workflow のサブ agent の使用量を統計に取り込み(schema v11)、使用量ダッシュボードを一通り刷新しました(全体に効くプロバイダー / モデルフィルタ、ブランドアイコンのツールバー、より安定した残量照会)。あわせて一連のローカルプロキシとプラットフォームの問題を補強し、カスタム User-Agent オーバーライド、Codex 統一セッション履歴のトグル、Claude Fable 5 階層を新設しました。
**[English →](v3.16.3-en.md) | [中文版 →](v3.16.3-zh.md)**
---
## 利用ガイド
本リリースでは使用量統計の数え方とダッシュボードに多くの調整を加えたため、まず以下をご覧ください:
- **[使用量統計](../user-manual/ja/4-proxy/4.4-usage.md)**: 使用量ダッシュボードのデータソース(プロキシログ、セッション同期)と集計の仕組みを確認できます。本リリースで全体に効くプロバイダー / モデルフィルタを追加し、ルーティングテイクオーバー時の本物の課金モデルを表示するようにしました。
- **[設定](../user-manual/ja/1-getting-started/1.5-settings.md)**: カスタム User-Agent オーバーライド、Codex 統一セッション履歴などのトグルは、プロバイダーフォームの高度なオプションと設定ページにあります。
---
> [!WARNING]
>
> ## 唯一の公式チャネル(必ずお読みください)
>
> CC Switch は**完全に無料・オープンソース**のデスクトップアプリで、**ユーザーから料金を徴収することはありません**。本ソフトウェアは下記の公式チャネルからのみ入手してください:
>
> | チャネル | 唯一の公式 |
> | ------------ | ------------------------------------------------------------------------------ |
> | 公式サイト | **[ccswitch.io](https://ccswitch.io)** |
> | ソースコード | **[github.com/farion1231/cc-switch](https://github.com/farion1231/cc-switch)** |
> | ダウンロード | **[GitHub Releases](https://github.com/farion1231/cc-switch/releases)** |
> | 作者 | **[@farion1231](https://github.com/farion1231)** |
> | 偽サイト通報 | **[GitHub Issues](https://github.com/farion1231/cc-switch/issues)** |
>
> **料金請求・チャージ・認証情報の提供を求める「CC Switch」サイトやクライアントはすべて偽物です。** 支払いを誘導された場合は直ちに操作を中止し、GitHub Issues からご報告ください。
---
## 概要
CC Switch v3.16.3 は v3.16.2 に続くメンテナンスアップデートです。前リリースではデータの可搬性と使用量の可観測性の拡張に集中しましたが、本リリースは「使用量の課金を本当に正確にする」ことに重きを置いています——上流が返すエイリアスではなく本物の上流モデルで課金し、形式変換(Chat / Responses / Gemini を Anthropic へ)経路でのキャッシュ token の二重計上を修正し、Claude Code Workflow のサブ agent の使用量をローカル統計に取り込み、schema v11 で各レコードが実際に使用した課金根拠を永続化しました。使用量ダッシュボードもこれにあわせて一通り刷新し、全体に効くプロバイダー / モデルフィルタ、ブランドアイコンのツールバー、より安定した残量照会(失敗時の再試行 + 前回成功した結果の保持)を追加しました。
さらに本リリースでは、一連のローカルプロキシの堅牢性に関する問題(Content-Type が誤ってラベル付けされた SSE レスポンスの集約、Codex `/responses` のテキスト専用モデル向け画像整流、Codex OAuth 認証情報とテイクオーバー残留の復元、Hermes 設定の重複 YAML キー)を補強し、プロバイダー設定まわりを作り直し(カスタム User-Agent オーバーライド、Codex フォームの高度なオプションへの統合、プリセット検索とソート、Claude Fable 5 階層)、Codex 統一セッション履歴のトグルを新設し、アプリ内更新のハング、Codex のアップグレードによるインストール破損、macOS の重複ターミナルウィンドウなどの問題を修正しました。
**リリース日**: 2026-06-14
**Stats**: 59 commits | 130 files changed | +10,223 / -4,232 lines
---
## ハイライト
- **使用量の課金がより正確に**: ルーティングテイクオーバーのトラフィックを本物の上流モデルで課金するようになり(上流が返すエイリアスではなく)、形式変換経路でキャッシュ token を input に二重計上しなくなり、Claude Code Workflow のサブ agent の使用量も統計に取り込みました——schema v11 で課金根拠を永続化します。
- **使用量ダッシュボードの刷新**: プロバイダー / モデルフィルタをリクエストログテーブルから全体フィルタへ引き上げ、アプリフィルタをブランドアイコンに変更し、残量照会に失敗時の再試行と「前回成功した結果の保持」を追加して、一度のネットワークのゆらぎでカードが赤くならないようにしました。
- **カスタム User-Agent オーバーライド**: プロバイダーにカスタム UA を設定でき、転送・接続性チェック・モデル一覧の 3 か所で一貫して有効になり、UA ホワイトリストで制限する Coding Plan 上流を通過できます(これにより Codex「Kimi For Coding」プリセットを復活させました)。
- **Codex 統一セッション履歴**: 公式 Codex セッションとサードパーティセッションが同じ resume 履歴バケットを共有できる任意のトグルを新設し、既存セッションの任意移行と台帳に基づく精密な復元を備えます。
- **プロキシとプラットフォームの補強**: 誤ラベルの SSE レスポンスの集約、Codex 画像整流、テイクオーバー残留の復元、Hermes YAML 重複排除。アプリ内更新が「再起動中」でハングしなくなり、Codex のアップグレードでインストールを壊さなくなりました。
---
## 追加機能
### カスタム User-Agent オーバーライド
プロバイダー設定でカスタム User-Agent を設定できるようになり、プロキシがリクエスト転送、接続性チェック、モデル一覧(`GET /v1/models`)の 3 つの経路で一貫して適用します。これにより、UA ホワイトリストで制限する Coding Plan 上流で「検出は失敗 / モデル一覧は 403 なのにプロキシ本体は正常に動く」という不整合が起きなくなります。Claude と Codex のフォームはいずれも高度なオプションでこのフィールドを公開し、厳選した UA プリセットのドロップダウン(Claude Code / Kilo Code など UA ホワイトリストを通過できるファミリー)とリアルタイムで非ブロッキングな形式検証を備えます。公式プリセットへ切り替えると残っていたカスタム UA は破棄され、リクエストヘッダーを密かに変更しないようにします([#3671](https://github.com/farion1231/cc-switch/pull/3671))。
### Codex 統一セッション履歴
任意のトグル(設定 → Codex アプリ拡張)を新設し、公式 Codex セッションと CC Switch のサードパーティセッションが同じ resume 履歴バケットを共有できるようにしました。resume セレクタが両者を互いに隠さなくなります。有効化すると、live の `config.toml` は公式の実行を、内蔵 OpenAI プロバイダーをミラーした共有 `custom` model_provider へルーティングします(`auth.json` は変更しません)。デフォルトでは今後のセッションにのみ有効です。有効化ダイアログには既存の公式セッションを共有バケットへ移行できるチェックボックスがあり(世代ごとのバックアップ付き)、無効化ダイアログにはバックアップ台帳に基づく精密な復元が用意されています——バックアップ内で `openai` として記録されたセッションのみを巻き戻し、有効化中に新規作成されたセッションは決して変更しません。
### 使用量ダッシュボードの全体プロバイダー / モデルフィルタ
プロバイダーフィルタとモデルフィルタを、リクエストログテーブルの内部からトップバーへ引き上げ、Hero サマリー、トレンドグラフ、リクエストログ、2 つの統計タブ全体に効くようにしました。ダッシュボード全体を特定のソースとモデルで絞り込めます。ソースは表示名で厳密に一致するため「Claude (Session)」のようなセッションのプレースホルダー行も選択でき、モデルは有効な課金モデルで一致し、モデルのドロップダウンは選択したソースに応じてカスケードし、どちらの一覧も現在の期間にデータがある選択肢のみを表示します。
### モデル価格シードの刷新
`seed_model_pricing` の全件価格点検を実施しました: 9 個のモデルの価格を新規追加し(Claude Fable 5、Grok 4.3、Mistral Medium 3.5 / Small 4、Qwen 3.7 Max/Plus などを含む)、各ベンダー公式の定価に合わせて既存価格 28 か所を訂正し(GLM、Grok、MiMo、Doubao、Kimi、MiniMax、Mistral、Qwen)、使用量コストの見積りをより正確にしました。各変更はシード(新規インストールに影響)を更新すると同時に、`repair_current_model_pricing` に旧→新のガードを 1 件追加します(既存データベースを修復し、ユーザーが手動で編集した行は上書きしません)。
### Claude Fable 5 モデル階層
プロバイダーフォームは、Claude Code と Claude Desktop の両プロキシ経路で `claude-fable-5` を 4 つ目のモデルマッピング階層として公開するようになりました。フォールバックチェーンは fable → opus → default で、公式の降格と一致し、Claude Desktop 1.12603.1+ の検証器で `fable-` プレフィックスを許可しました。4 言語のフォールバックヒントも明確化しました: サードパーティの endpoint である階層を空のままにすると、その階層のモデル名がそのまま透過されて 404 になります([#3980](https://github.com/farion1231/cc-switch/issues/3980)、[#4026](https://github.com/farion1231/cc-switch/issues/4026)、[#4049](https://github.com/farion1231/cc-switch/issues/4049))。
### Unity2.ai パートナープロバイダー
Unity2.aiAI API 中継のパートナー)をプリセットとして追加し、管理対象の 7 アプリすべて(Claude Code、Codex、Gemini、OpenCode、OpenClaw、Claude Desktop、Hermes)をカバーしました。各プリセットには紹介登録リンクを付け、4 言語でパートナー宣伝文を補いました。Codex は素の base URL を使用し(このゲートウェイはルートパスに `/responses` を公開)、OpenCode / OpenClaw / Hermes は `/v1` chat-completions の endpoint を使用し、`gpt-5.5` を既定モデルとします。
### Kimi K2.7 Code モデル
`kimi-k2.7-code` モデル(入力 $0.95 / 出力 $4.00 / キャッシュ読み取り $0.19、100 万 token あたり、256K コンテキスト)を新規追加し、6 つの公式 Moonshot Kimi プリセットすべて(Claude Code、Codex、Claude Desktop、Hermes、OpenCode、OpenClaw)をこれに向けました。OpenCode / OpenClaw のプリセットは「Kimi K2.7 Code」へ改名しました。価格シードは起動時の冪等な挿入経路で有効になるため、既存ユーザーは移行なしで新価格を取得できます。
### Codex「Kimi For Coding」プリセットの復活
Codex「Kimi For Coding」プリセット(`openai_chat``kimi-for-coding`、256K コンテキスト)を再追加し、思考モードをデフォルトで有効にしました。以前これを削除したのは、このコーディング endpoint が Codex 既定の `codex-cli` User-Agent を 403 で拒否するためでしたが、現在はプロキシテイクオーバー + カスタム User-Agent オーバーライド(ホワイトリストの UA、例 `claude-cli/*` に設定)を使えば正常に使えます。
### リクエスト詳細での課金モデル監査
リクエスト詳細パネルは、「リクエストされたモデル」「課金モデル」がレスポンスのモデルと一致しないときにそれらをすべて表示するようになり、ルーティングテイクオーバーが生む請求を使用量画面から直接照合できます。
### プリセットプロバイダーの検索とソート
プリセットプロバイダーのセレクタが、検索・ソート可能な一覧になり、インライン検索ボックスを備えました(虫眼鏡アイコンで切り替え、ESC または外側クリックで畳む)。ボタンはレスポンシブグリッドに変わってサイズが統一され、既定アイコンを表示します。検索はプロバイダーの表示名 / 生の名前のみに一致するため、URL の断片や共有のカテゴリラベルがノイズ一致を生まなくなります([#3975](https://github.com/farion1231/cc-switch/pull/3975)、[#4183](https://github.com/farion1231/cc-switch/pull/4183))。
### Claude Mythos 5 の価格
内蔵のモデル / 価格表に `claude-mythos-5` モデル(入力 $10 / 出力 $50、100 万 token あたり;キャッシュ読み取り $1.00、キャッシュ書き込み $12.50)を登録し、使用量統計が正しく課金・表示できるようにしました([#4077](https://github.com/farion1231/cc-switch/pull/4077))。
### Fable 5 Verified バッジ
設定の「バージョン情報」ページが、アプリ名とバージョンの隣に Fable 5 Verified バッジを表示し、これが特別ビルドであることを示すようになりました。バージョンバッジもアプリ名の下に中央揃えしました。
---
## 変更
### Claude Desktop の使用量を Claude に折りたたみ
ダッシュボードは独立した「Claude Desktop」バケットを表示しなくなりました——これは常に不完全な数字しか表示できませんでした(Desktop のチャット使用量はそもそもプロキシを経由せず、その Code タブのセッションは内蔵の Claude Code ランタイムが共有の `~/.claude/projects` ディレクトリへ書き込んでいるだけです)。Desktop のプロキシトラフィックは表示上 `claude` に折りたたまれますが、記帳層はルーティングテイクオーバー課金の監査のために引き続き自身の `app_type` で記録し、本物の値はリクエスト詳細パネルで確認できます。
### 軽量化したプロバイダーヘルスチェック
プロバイダーヘルスチェックは、本物のストリーミングモデルリクエストを送らなくなりました(多くのサードパーティプロバイダーが 401/403/WAF でブロックし、利用不可の誤検知を生むため)。代わりにプロバイダーの `base_url` へ軽量な HTTP 到達性プローブを 1 回行います: あらゆる HTTP レスポンスを到達可能とみなし、DNS / 接続 / TLS / タイムアウトのみを失敗とします。公式プロバイダー(OAuth を使用し、base_url が意図的に空で、信頼できる到達性ターゲットがない)は接続性チェックのボタンを隠します。従来の「本物のリクエストを送る」確認ダイアログ、テストモデル / プロンプトのフィールドは削除し、劣化レイテンシのしきい値を 6s、タイムアウトを 8s としました。この到達性チェックは決してサーキットブレーカーをリセットしません——到達可能 ≠ 利用可能(403 を返す host は到達可能でも、本物のトラフィックには壊れています)。フェイルオーバーの判定は引き続き本物のプロキシトラフィックのみで駆動されます。
### Codex の高度なオプション領域の統合
Codex プロバイダーフォームは、ローカルルーティング、モデルマッピング、推論オーバーライド、カスタム User-Agent を展開可能な高度なオプション領域に折りたたみ、Claude フォームと揃えました(UA が設定されているか、ローカルルーティングが有効なときは自動展開)。カスタム User-Agent はネイティブ Responses プロバイダーでも設定できるようになりました。以前は `openai_chat` ルーティングを有効にしたときにしか触れられませんでした。
### 使用量ツールバーとレイアウトの刷新
アプリフィルタはブランドアイコン(ProviderIcon 経由、「すべて」はグリッドアイコン)で描画するように変更し、狭いウィンドウで折り返すと見栄えの悪かったテキストタブを置き換えました。使用量 Hero も選択したアプリのブランドアイコンを表示し、Codex のテーマ色をエメラルドからニュートラルグレーへ変更して、OpenAI のモノクロブランドに合わせました。クリックで循環切り替えしていた更新ボタンは、ローカライズした「オフ」ラベルを持つドロップダウン選択に変更し、トップバーのコントロールも圧縮して幅のグループを揃え、長すぎる日付範囲のラベルは省略表示するようにしました。
### バージョン情報パネルの読み込みを高速化
設定の「バージョン情報」パネルが段階的に読み込むようになりました: アプリのバージョンバッジは解決した瞬間に表示され、ツールのプローブを待たなくなります。各ツールカードは自身のバージョン検出が完了した時点で即座に更新されます(プローブは直列ではなく並行に実行)。プローブ結果はアプリのセッション中、10 分の TTL 付きでキャッシュされるため、「バージョン情報」タブを再度開くとキャッシュ値を再利用し、期限切れの項目だけをバックグラウンドで再検証します。毎回 6 つのツールすべてを再プローブすることはなくなりました。
### 火山方舟 Coding Plan の宣伝更新
火山方舟(Volcengine Ark)プリセットを 6 アプリすべてで新しい Coding Plan 招待リンクへ更新し(旧 Agent Plan / キャンペーンリンクを置き換え)、4 言語でパートナー宣伝文を刷新しました(2 か月 75% 割引 + 招待コード 6J6FV5N2)。製品名も Agent Plan から Coding Plan へ訂正しました。
### MiniMax を通常プロバイダーへ降格
MiniMax の金色のパートナースター印と API key 宣伝バナーを削除し(全プリセットから `isPartner` フラグを除去)、引き続き通常の `cn_official` プロバイダーとしてアイコンとテーマを保持します。宣伝文は休眠状態のまま残し、必要であれば 1 行で提携関係を再有効化できます。
### LemonData を削除、SudoCode を降格
LemonData プロバイダープリセットを完全に削除し(宣伝文、アイコン、スポンサー項目もあわせて)、SudoCode をパートナーから通常の `third_party` プロバイダーへ降格しました(`isPartner` フラグと宣伝文を外し、アイコンは保持)。
### AtlasCloud Codex GLM 5.1 のコンテキストウィンドウ
AtlasCloud Codex プリセットの `zai-org/glm-5.1` モデルに 200,000 token のコンテキストウィンドウを宣言し、ほかの GLM 5.1 プリセット項目に揃えました。
---
## 修正
### ルーティングテイクオーバーのトラフィックを本物の上流モデルで課金
リクエストが別の上流へルーティングされた場合(env モデルマッピング、Claude Desktop ルーティング、Copilot 正規化、Codex chat オーバーライド)、プロキシは以前、上流が返したモデルで帰属・課金していたため、kimi / glm の token を `claude-*` として記録・課金し、コストが約 5〜25 倍に過大評価されていました。現在は転送器が本物のアウトバウンドモデルを捕捉し、「上流が返した値 → アウトバウンドモデル → クライアントのエイリアス」の順で帰属し、各行に実際に使用した課金根拠を永続化します(schema v11)。この根拠はコストのバックフィルと 30 日 rollup のプルーニングまで一貫して使われます。Claude Desktop のトラフィックも自身の `app_type` で記録されるようになり、その価格オーバーライドが正しく効くようになりました。
### 形式変換経路での使用量計上
プロキシの各形式変換経路(Chat、Responses、Gemini を Anthropic へ)での token / キャッシュの計上を監査・修正しました。プロキシは実際に返ったモデルを記録し、`stream_options.include_usage` を注入して OpenAI 互換の上流がストリーミング時に usage を吐くようにし、Claude←OpenAI 経路では `cache_read``cache_creation` を input から除外してキャッシュ token の二重計上を防ぎ、Gemini のキャッシュ済みプロンプト token を差し引き、完全にキャッシュヒットしたリクエストも引き続き記録し、過去にリクエスト数を水増ししていた合成の全ゼロ usage をスキップするようになりました([#2774](https://github.com/farion1231/cc-switch/pull/2774))。
### アプリ内更新がハングしなくなった
アプリ内から更新をインストールするとき、「再起動中」の画面でハングしなくなりました——以前は新版がインストール済みなのに、手動で強制終了せざるを得ない状況が起きていました。ダウンロード—インストール—再起動の一連の流れは、完全にバックエンドで実行するようになり(`install_update_and_restart` コマンドを新設)、プラットフォームごとにインストール順序を決め、再実行の前にまず単一インスタンスロックを破棄します。アプリパッケージがすでに置き換えられた後に古い WebView が JS を走らせ続けることに依存しなくなりました。終了リクエストも分類して、再起動リクエストが Tauri の既定フローに落ちるようにし、ウィンドウ状態プラグインのミューテックスでデッドロックしないようにしました([#4069](https://github.com/farion1231/cc-switch/pull/4069)、[#4074](https://github.com/farion1231/cc-switch/pull/4074))。
### Codex のアップグレードがインストールを壊さなくなった
設定の「バージョン情報」ページから Codex をアップグレードしても、「Missing optional dependency @openai/codex-…」エラーを投げなくなりました。アップグレードのチェーンは以前まず `codex update` を実行しますが、これは npm インストール下では実質的に素の再インストールであり、対応するプラットフォームのバイナリがインストールされていなくても成功を報告していました。現在は Codex を「self-update 優先」経路から除外し、runnable 検出が「アンインストール + 再インストール」の自己修復を駆動するようにしました(npm 管理のインストールに限定)。これが、欠けたプラットフォームバイナリを本当に補える唯一の修正です。
### テイクオーバー時に Codex OAuth 認証情報を保持
Codex プロバイダーでプロキシテイクオーバーを有効にするとき、`ANTHROPIC_AUTH_TOKEN` プレースホルダーを剥がさなくなりました——以前これはホットスイッチ、新規インストール、そして旧バージョンがすでに剥がしてしまった live 設定で、Claude Code のログインを壊していました。現在は管理対象(非 Copilot)の Codex プロバイダーに対して、URL のみのプロバイダーを含め無条件にこのプレースホルダーを注入します。GitHub Copilot の挙動(API_KEY のみ)は変わりません([#3789](https://github.com/farion1231/cc-switch/pull/3789)、[#3784](https://github.com/farion1231/cc-switch/issues/3784))。
### 設定ディレクトリをまたぐ切り替えでのテイクオーバー残留の復元
プロキシテイクオーバーが有効なときに設定ディレクトリを変更してアプリを再起動しても、Claude / Codex / Gemini を失効したローカルプロキシに向けたままにしなくなりました。現在は旧インスタンスが再起動の前にテイクオーバーされた live ファイルを先に復元し、初回実行のインポートはテイクオーバープレースホルダーをプロバイダーとして永続化することを拒否し、SSOT の復元も書き戻す前に、現在のプロバイダーの設定にプレースホルダーが含まれないことを検証します([#4076](https://github.com/farion1231/cc-switch/pull/4076))。
### 形式変換フォールバックでの誤ラベル SSE レスポンスの集約
Claude / Codex の形式変換を経たリクエストで、MaaS ゲートウェイが `stream:false` のリクエストを強制的にストリーミングし、非 SSE の Content-Type で SSE レスポンスボディを返したとき、難解な 422「Failed to parse upstream response」で失敗しなくなりました。プロキシは解析失敗時に SSE かどうかを検出し、チャンクを単一の JSON に集約してから既存の変換器を走らせ、クライアントが引き続き有効な非ストリーミングレスポンスを受け取れるようにします。残った解析失敗には content-type、エンコーディング、レスポンスボディの抜粋などの診断情報を付け、deflate のデコードも先に zlib を、次に素のストリームを試すように変更しました([#2234](https://github.com/farion1231/cc-switch/pull/2234))。
### Hermes 設定の重複 YAML キー
Hermes 設定の書き込みは、重複したトップレベルキー(`mcp_servers` など)を累積しなくなりました。これは「Failed to parse Hermes config as YAML: duplicate entry with key」エラーを引き起こしていました。セクションの置換は、追加へ退化する代わりに、残りのテキストから古いコピーをすべて取り除くようになりました。重複排除のセーフティネットは LF と CRLF の行末を両方処理します。修復時には最後(最新)のコピーを保持し、Hermes 自身の PyYAML ベースの「後勝ち」セマンティクスに揃えます([#3267](https://github.com/farion1231/cc-switch/pull/3267)、[#3633](https://github.com/farion1231/cc-switch/issues/3633)、[#2973](https://github.com/farion1231/cc-switch/issues/2973)、[#2529](https://github.com/farion1231/cc-switch/issues/2529)、[#3310](https://github.com/farion1231/cc-switch/issues/3310)、[#3762](https://github.com/farion1231/cc-switch/issues/3762))。
### 使用量照会の堅牢性とエラーの明確さ
使用量カードは、一度の瞬間的なゆらぎだけで赤くならなくなりました: 照会は一度再試行し、ネットワーク / タイムアウト / 5xx のような一時的な失敗下では前回成功した結果を最大 10 分間表示し続けます。一方、確定的な失敗(認証、空の key、未知のプロバイダー、4xx)は即座に表面化してスナップショットをクリアし、認証情報の変更後に古い残量が再び現れるのを防ぎます。ネイティブ残量 / Coding Plan / サブスクリプション照会のタイムアウトは、応答の遅い国際 endpoint に合わせて 10s から 15s へ引き上げました。Coding Plan も空白の失敗ではなく、明確な「API key is empty」/「Unknown coding plan provider」エラーを返すようになりました。
### 使用量スクリプトのプロバイダー認証情報の解決
カスタム JS スクリプトの使用量照会は、以前 env フィールドを推測して `{{apiKey}}` / `{{baseUrl}}` を解決していたため、認証情報を別の場所に置くアプリ(Codex の `auth.OPENAI_API_KEY` に加え `config.toml` の base_url など)は、プロバイダーが完全に設定されていても常に空の値となり失敗していました。スクリプト照会とそのテスト / プレビューは、ネイティブ残量経路と同じアプリごとの認証情報リゾルバを再利用するようになり、スクリプト内で明示的に記入した非空の値は引き続き優先されます([#1479](https://github.com/farion1231/cc-switch/pull/1479))。
### Claude Code Workflow サブ agent の使用量集計
ローカル(プロキシなし)のセッションログ使用量集計は、以前 Claude Code Workflow のサブ agent のトラフィックを取りこぼしており、全体の使用量が約 4.1% 過小評価されていました(workflow / subagent のセッションレコードに集中)。スキャナーはさらに一段深い `subagents/workflows/wf_*/` のレコードディレクトリまで掘り下げるようになり、パーサーも `stop_reason` を欠いているがすでに input / キャッシュ token のコストを生んだ assistant メッセージを捨てなくなりました。重複排除のロジックは変わらないため、重複計上はしません。
### Codex `/responses` のテキスト専用モデル向け画像整流
画像を伴い、テキストのみ対応の OpenAI-chat モデル(DeepSeek `deepseek-v4-flash` など)へルーティングされた Codex `/responses` リクエストが、HTTP 400「unknown variant `image_url`」で失敗しなくなりました。メディア整流器が Codex アダプターもカバーするようになり、responses の `input` 内の `input_image` ブロックをスキャンします。これにより、既知のテキスト専用モデルに対しては画像をプロアクティブに剥がし、上流が「画像非対応」を報告したときにも画像を置き換えて再試行できます。
### 智譜 Coding Plan のクォータウィンドウの誤ラベル
智譜 Coding Plan ビューは、各週周期の最後の数時間で 5 時間ウィンドウと週ウィンドウを取り違えてラベル付けしなくなりました。両ウィンドウは今や明示的な `unit` フィールドで分類され(3 = 5 時間、6 = 週)、リセット時刻の昇順ソートに頼らなくなりました——後者はユーザーが週クォータを最も照会するタイミングで、ちょうど両者を取り違えてラベル付けしていました。フィールドが欠けているときは引き続き従来のリセット時刻ヒューリスティックへフォールバックします([#3036](https://github.com/farion1231/cc-switch/pull/3036))。
### macOS の重複プロバイダーターミナルウィンドウ
macOS でプロバイダーターミナルを起動するとき、コマンドセッションの隣に空のウィンドウをもう 1 つ開かなくなりました。Terminal.app はコールドスタート時に `activate` ではなく `launch` を使い、Ghostty は初期コマンドを使うことで、単一のセッションだけを開きます。AppleScript 経路が失敗したときのフォールバックも残してあります([#4156](https://github.com/farion1231/cc-switch/pull/4156))。
### Claude Desktop モデルマッピングのプレースホルダー
Claude Desktop モデルマッピングフォームは、以前「メニュー表示名」と「リクエストモデル」の 2 列で一貫しないブランド例(DeepSeek vs Kimi)を使い、ある表示名が無関係なモデルへマッピングされるかのように見せていました。現在は両方のプレースホルダーが各行のロールから導かれ、ブランドの一貫性を保ち、軽量な Haiku 階層は flash の例を使います。
### ポップオーバーが全画面パネルに隠れる
プロバイダープリセット検索のようなポップオーバーやツールチップが、全画面パネルの後ろに描画されてクリックが効かないように見える問題がなくなりました。これらの z-index を全画面オーバーレイの上に引き上げつつ、モーダルダイアログよりは低く保ちました。
### ToggleRow アイコンの縮み
トグル行のアイコンは、長い説明と並んでも縮んだり歪んだりしなくなり、複数行のテキストの隣でアイコンが固定サイズを保ちます。
---
## ドキュメント
### Release Notes の貢献者謝辞の復元
v3.16.1 と v3.16.2 の release notes の貢献者謝辞を 3 言語で復元しました。
---
## アップグレード時の注意
### 価格ライブラリ schema v11 の自動移行
本リリースは `proxy_request_logs``pricing_model` 列を新設し、`request_model` + `pricing_model` で rollup を再構築しました。起動時に自動移行し、手動操作は不要です。過去の行のコストは書き込み時に確定済みで再計算されません(`app_type="claude"` の行はネイティブと変換の 2 種類のソースが混在しています)。本物だが当時課金されなかったテイクオーバー行のみがゼロコストのまま残り、価格が補われた後にバックフィルされます。
### モデルマッピングに 4 つ目の階層(Fable 5)を追加
Claude Code と Claude Desktop のモデルマッピングは 4 階層(Sonnet / Opus / Fable / Haiku)になりました。従来の 3 階層プロバイダーは、再度開いて保存すると `claude-fable-5` 階層が補われます。この階層を空のままにすると Sonnet を継承します。注意: サードパーティの endpoint でいずれかの階層を空のままにすると、その階層のモデル名がそのまま透過されて 404 になる可能性があるため、必要に応じて記入してください。
### 「Kimi For Coding」プリセットはプロキシテイクオーバー + ホワイトリスト UA が必要
復活した Codex「Kimi For Coding」プリセットは、既定の `codex-cli` User-Agent をそのまま使うと依然 403 になります。利用するには、プロキシテイクオーバーを有効にし、プロバイダーの高度なオプションでカスタム User-Agent をホワイトリストの UA(`claude-cli/*` など)に設定してください。
### プロバイダーヘルスチェックのセマンティクス変更
ヘルスチェックは「本物のモデルリクエストを送る」から「HTTP 到達性プローブ」へ変わりました。到達可能 ≠ 利用可能であることにご注意ください: 403 を返す host は到達可能でも、本物のトラフィックには壊れている可能性があります。フェイルオーバーの判定は引き続き本物のプロキシトラフィックのみで駆動され、ヘルスチェックの影響を受けません。
---
## リスク通知
本リリースは、リバースプロキシ系機能に関する以前のリスク通知を引き続き適用します。
**Codex OAuth リバースプロキシ**: ChatGPT サブスクリプションの Codex OAuth をリバースプロキシ経由で使用すると、OpenAI の利用規約に違反する可能性があります。詳細は [v3.13.0 release notes](v3.13.0-ja.md#-リスクに関する注意事項) を参照してください。
**Codex サードパーティプロバイダー Chat ルーティング**: CC Switch ローカルプロキシで Codex リクエストを変換し、サードパーティプロバイダーへ転送する場合、課金・コンプライアンス・データ保持に関する制約はプロバイダーごとに異なります。利用前に対象プロバイダーの利用規約を確認してください。
**Claude Desktop サードパーティプロバイダープロキシ切り替え**: CC Switch 内蔵のプロキシゲートウェイで Claude Desktop のリクエストをサードパーティプロバイダーへ転送する場合も、対象プロバイダーの課金・コンプライアンス・データ保持に関する規約に従う必要があります。
上記機能を有効化したユーザーは、関連するリスクを自ら負うものとします。CC Switch は、これらの機能の利用によって発生したアカウント制限、警告、サービス停止について責任を負いません。
---
## 謝辞
v3.16.3 で機能と修正を届けてくださった以下のコントリビューターに感謝します:
- [#3789](https://github.com/farion1231/cc-switch/pull/3789): テイクオーバー時に Codex OAuth 認証情報を保持、@codeasier に感謝。
- [#2774](https://github.com/farion1231/cc-switch/pull/2774): Completions を Anthropic へ変換する際に実際に返ったモデルを記録せず input token の計算が誤っていた問題を修正、@LaoYueHanNi に感謝。
- [#4069](https://github.com/farion1231/cc-switch/pull/4069): アプリ内更新後の再起動デッドロックを修正、@thisTom に感謝。
- [#4156](https://github.com/farion1231/cc-switch/pull/4156): macOS の重複プロバイダーターミナルウィンドウを修正、@thisTom に感謝。
- [#3267](https://github.com/farion1231/cc-switch/pull/3267): Hermes 設定の重複 YAML キーを修正、@que3sui に感謝。
- [#1479](https://github.com/farion1231/cc-switch/pull/1479): 使用量スクリプトのプロバイダー認証情報の解決を修正、@pa001024 に感謝。
- [#3975](https://github.com/farion1231/cc-switch/pull/3975): プリセットプロバイダーの検索とソートを追加、@Nastem に感謝。
- [#4183](https://github.com/farion1231/cc-switch/pull/4183): プリセットプロバイダーボタンの外観と検索ボックスの位置を調整、@WangJiati に感謝。
- [#4077](https://github.com/farion1231/cc-switch/pull/4077): claude-mythos-5 モデルの価格を追加、@osscv に感謝。
v3.16.2 リリース後に使用量の課金、ローカルプロキシの堅牢性、Codex のアップグレード、プラットフォーム互換性の問題を報告してくださったすべてのユーザーにも感謝します。今回の多くの修正は、実際の利用シーンから得られた再現情報に基づいています。
---
## ダウンロードとインストール
[Releases](https://github.com/farion1231/cc-switch/releases/latest) から、お使いのシステムに対応するビルドをダウンロードしてください。
### システム要件
| システム | 最低バージョン | アーキテクチャ |
| -------- | ------------------------ | ----------------------------------- |
| Windows | Windows 10 以降 | x64 |
| macOS | macOS 12 (Monterey) 以降 | Intel (x64) / Apple Silicon (arm64) |
| Linux | 下表を参照 | x64 / ARM64 |
### Windows
| ファイル | 説明 |
| ---------------------------------------- | -------------------------------------------- |
| `CC-Switch-v3.16.3-Windows.msi` | **推奨** - 自動更新対応の MSI インストーラー |
| `CC-Switch-v3.16.3-Windows-Portable.zip` | ポータブル版、展開してそのまま実行できます |
### macOS
| ファイル | 説明 |
| -------------------------------- | ------------------------------------------------------ |
| `CC-Switch-v3.16.3-macOS.dmg` | **推奨** - DMG インストーラー、Applications へドラッグ |
| `CC-Switch-v3.16.3-macOS.zip` | 展開して Applications へドラッグ、Universal Binary |
| `CC-Switch-v3.16.3-macOS.tar.gz` | Homebrew インストールと自動更新用 |
Homebrew インストール:
```bash
brew install --cask cc-switch
```
更新:
```bash
brew upgrade --cask cc-switch
```
### Linux
Linux アセットは **x86_64****ARM64**`aarch64`)の両方を提供します。ファイル名にアーキテクチャ識別子が含まれているため、マシンの `uname -m` 出力に合わせて選択してください:
- `CC-Switch-v3.16.3-Linux-x86_64.AppImage` / `.deb` / `.rpm`
- `CC-Switch-v3.16.3-Linux-arm64.AppImage` / `.deb` / `.rpm`
| ディストリビューション | 推奨形式 | インストール方法 |
| --------------------------------------- | ----------- | ------------------------------------------------------------------------- |
| Ubuntu / Debian / Linux Mint / Pop!\_OS | `.deb` | `sudo dpkg -i CC-Switch-*.deb` または `sudo apt install ./CC-Switch-*.deb` |
| Fedora / RHEL / CentOS / Rocky Linux | `.rpm` | `sudo rpm -i CC-Switch-*.rpm` または `sudo dnf install ./CC-Switch-*.rpm` |
| openSUSE | `.rpm` | `sudo zypper install ./CC-Switch-*.rpm` |
| Arch Linux / Manjaro | `.AppImage` | 実行権限を付与して直接起動、または AUR を使用 |
| その他 / 不明 | `.AppImage` | `chmod +x CC-Switch-*.AppImage && ./CC-Switch-*.AppImage` |
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# CC Switch v3.16.3
> 🎉 **CC Switch 突破 100,000 Star**
> 感谢每一位用户、贡献者与 Star —— 是你们让它走到这里。🙏
> 💎 **本版由 Claude Fable 5 模型协助开发**——它帮忙梳理清楚了多处关键且容易出错的逻辑:路由接管时按真实上游模型计费的归因链、格式转换路径上缓存 token 的计量与去重、应用内更新的重启死锁,以及 Codex 统一会话历史的迁移 / 还原不变量。这也是本版在「关于」页新增 **Fable 5 Verified** 标识的由来。
> 在 v3.16.2 拓宽数据可携带性与用量观测之后,这一版把重心放在「让用量计费真正准确」——按真实上游模型计费、修正格式转换路径上的缓存双算、把 Claude Code Workflow 子 agent 的用量纳入统计(schema v11),并对用量看板做了一轮改版(全局供应商 / 模型筛选、品牌图标工具栏、更稳的额度查询);同时加固了一批本地代理与平台问题,新增自定义 User-Agent 覆盖、Codex 统一会话历史开关与 Claude Fable 5 档位。
**[English →](v3.16.3-en.md) | [日本語版 →](v3.16.3-ja.md)**
---
## 使用攻略
这一版用量统计的口径和看板做了较多调整,建议先看:
- **[用量统计](../user-manual/zh/4-proxy/4.4-usage.md)**:了解用量看板的数据来源(代理日志、会话同步)与统计口径,本版新增了全局的供应商 / 模型筛选,并把路由接管的真实计价模型展示了出来。
- **[设置](../user-manual/zh/1-getting-started/1.5-settings.md)**:自定义 User-Agent 覆盖、Codex 统一会话历史等开关都在供应商表单的高级选项与设置页里。
---
> [!WARNING]
>
> ## 唯一官方渠道声明(请务必阅读)
>
> CC Switch 是**完全免费、开源**的桌面应用,**不会向用户收取任何费用**。请仅通过下列官方渠道获取本软件:
>
> | 类别 | 唯一官方 |
> | -------- | ------------------------------------------------------------------------------ |
> | 官网 | **[ccswitch.io](https://ccswitch.io)** |
> | 源码 | **[github.com/farion1231/cc-switch](https://github.com/farion1231/cc-switch)** |
> | 下载 | **[GitHub Releases](https://github.com/farion1231/cc-switch/releases)** |
> | 作者 | **[@farion1231](https://github.com/farion1231)** |
> | 举报山寨 | **[GitHub Issues](https://github.com/farion1231/cc-switch/issues)** |
>
> **任何向你收费、要求充值、或索取登录凭据的"CC Switch"网站或客户端均为假冒**。如果你被诱导支付了费用,请立即停止操作并通过 GitHub Issues 反馈。
---
## 概览
CC Switch v3.16.3 是 v3.16.2 之后的一版维护更新。在上一版集中拓宽数据可携带性与用量观测之后,这一版把重心放在「让用量计费真正准确」这件事上——按真实上游模型计费而非上游回显、修正格式转换(Chat / Responses / Gemini 转 Anthropic)路径上的缓存 token 双算、把 Claude Code Workflow 子 agent 的用量纳入本地统计,并以 schema v11 持久化每条记录实际使用的定价依据;用量看板也随之做了一轮改版,新增全局的供应商 / 模型筛选、品牌图标工具栏,以及更稳的额度查询(失败重试 + 保留上次成功结果)。
此外,本版还加固了一批本地代理的稳健性问题(错标 Content-Type 的 SSE 响应聚合、Codex `/responses` 文本模型图像整流、Codex OAuth 凭据与接管残留的恢复、Hermes 配置重复 YAML 键),重做了供应商配置体验(自定义 User-Agent 覆盖、Codex 表单统一进高级选项、预设搜索与排序、Claude Fable 5 档位),新增 Codex 统一会话历史开关,并修复了应用内更新卡死、Codex 升级损坏安装、macOS 重复终端窗口等问题。
**发布日期**2026-06-14
**更新规模**59 commits | 130 files changed | +10,223 / -4,232 lines
---
## 重点内容
- **用量计费更准**:路由接管的流量现在按真实上游模型计费(而非上游回显的别名),格式转换路径不再把缓存 token 重复计入 inputClaude Code Workflow 子 agent 的用量也纳入了统计——以 schema v11 持久化定价依据。
- **用量看板改版**:供应商 / 模型筛选从请求日志表提升为全局筛选,应用筛选改用品牌图标,额度查询加入失败重试与「保留上次成功结果」,单次网络抖动不再让卡片变红。
- **自定义 User-Agent 覆盖**:供应商可设置自定义 UA,并在转发、连通性检测、模型列表三处一致生效,绕过按 UA 白名单放行的 Coding Plan 上游(借此恢复了 Codex「Kimi For Coding」预设)。
- **Codex 统一会话历史**:新增可选开关,让官方 Codex 会话与第三方会话共享同一份 resume 历史桶,附带可选的存量迁移与按账本精确还原。
- **代理与平台加固**:错标 SSE 响应聚合、Codex 图像整流、接管残留恢复、Hermes YAML 去重;应用内更新不再卡在「重启中」,Codex 升级不再把安装弄坏。
---
## 新功能
### 自定义 User-Agent 覆盖
供应商配置现在可以设置自定义 User-Agent,并由代理在请求转发、连通性检测和模型列表(`GET /v1/models`)三条路径上一致应用,因此按 UA 白名单放行的 Coding Plan 上游不会再出现「检测失败 / 模型列表 403、但代理本身却能正常工作」的不一致。Claude 和 Codex 表单都在高级选项里暴露该字段,配有精选的 UA 预设下拉(Claude Code / Kilo Code 等能通过 UA 白名单的家族)和实时、非阻塞的格式校验;切换到官方预设时会丢弃残留的自定义 UA,避免悄悄改动请求头([#3671](https://github.com/farion1231/cc-switch/pull/3671))。
### Codex 统一会话历史
新增一个可选开关(设置 → Codex 应用增强),让官方 Codex 会话与 CC Switch 的第三方会话共享同一份 resume 历史桶,resume 选择器不再把两者互相隐藏。开启后,live 的 `config.toml` 会把官方运行路由到一个镜像内建 OpenAI 供应商的共享 `custom` model_provider`auth.json` 不动)。默认只对未来会话生效;开启弹窗提供一个勾选项,可把已有官方会话迁入共享桶(含逐代备份),关闭弹窗则提供按备份账本精确还原——只回退备份中记录为 `openai` 的会话,开启期间新建的会话永不被改动。
### 用量看板全局供应商 / 模型筛选
供应商和模型筛选从请求日志表内部提升到了顶栏,对 Hero 汇总、趋势图、请求日志和两个统计页签全局生效,可以把整个看板按某个来源和模型缩小范围。来源按展示名精确匹配(因此像「Claude (Session)」这样的会话占位行也可选),模型按有效计价模型匹配,模型下拉会随所选来源级联,且两个列表只列出当前时间范围内有数据的选项。
### 模型定价种子刷新
`seed_model_pricing` 做了一次全量核价:新增 9 个模型的定价(含 Claude Fable 5、Grok 4.3、Mistral Medium 3.5 / Small 4、Qwen 3.7 Max/Plus 等),并按各厂商官方 list 价订正了 28 处既有价格(GLM、Grok、MiMo、Doubao、Kimi、MiniMax、Mistral、Qwen),让用量成本估算更准确。每处改动都同时更新种子(影响全新安装)并向 `repair_current_model_pricing` 加一条旧→新守卫(修复存量数据库,且不覆盖用户手改过的行)。
### Claude Fable 5 模型档位
供应商表单现在在 Claude Code 和 Claude Desktop 两条代理路径上都暴露 `claude-fable-5` 作为第四个模型映射档位,回落链为 fable → opus → default,与官方降级一致,并为 Claude Desktop 1.12603.1+ 的校验器放行了 `fable-` 前缀。四语回落提示也做了澄清:在第三方端点上把某一档留空,会原样透传该档的字面模型名并 404([#3980](https://github.com/farion1231/cc-switch/issues/3980)、[#4026](https://github.com/farion1231/cc-switch/issues/4026)、[#4049](https://github.com/farion1231/cc-switch/issues/4049))。
### Unity2.ai 合作伙伴供应商
新增 Unity2.ai(一个 AI API 中转合作伙伴)作为预设,覆盖全部 7 个受管应用(Claude Code、Codex、Gemini、OpenCode、OpenClaw、Claude Desktop、Hermes),每个预设都带上推广注册链接,并在四种语言里补充了合作伙伴推广文案。Codex 使用裸 base URL(该网关在根路径暴露 `/responses`),OpenCode / OpenClaw / Hermes 使用 `/v1` chat-completions 端点并以 `gpt-5.5` 为预设模型。
### Kimi K2.7 Code 模型
新增 `kimi-k2.7-code` 模型(输入 $0.95 / 输出 $4.00 / 缓存读取 $0.19,每百万 token,256K 上下文),并把全部 6 个官方 Moonshot Kimi 预设(Claude Code、Codex、Claude Desktop、Hermes、OpenCode、OpenClaw)指向它,OpenCode / OpenClaw 预设更名为「Kimi K2.7 Code」。定价种子通过启动时的幂等插入路径生效,存量用户无需迁移即可获得新价。
### 恢复 Codex「Kimi For Coding」预设
重新加入 Codex「Kimi For Coding」预设(`openai_chat``kimi-for-coding`、256K 上下文),默认开启思考模式。此前它被移除是因为该编程端点会以 403 拒绝 Codex 默认的 `codex-cli` User-Agent;现在借助代理接管 + 自定义 User-Agent 覆盖(设为 `claude-cli/*` 等白名单 UA)即可正常使用。
### 请求详情的计价模型审计
请求详情面板现在会在「请求的模型」「计价模型」与响应模型不一致时把它们都显示出来,让路由接管产生的账单可以直接在用量界面里核对。
### 预设供应商搜索与排序
预设供应商选择器现在是一个可搜索、可排序的列表,配有内联搜索框(点放大镜图标切换,按 ESC 或点击外部收起)。按钮改为响应式网格、尺寸统一并显示默认图标,搜索只匹配供应商的展示名 / 原始名,因此 URL 片段和共享的分类标签不会再产生噪声匹配([#3975](https://github.com/farion1231/cc-switch/pull/3975)、[#4183](https://github.com/farion1231/cc-switch/pull/4183))。
### Claude Mythos 5 定价
在内置模型 / 定价表里登记 `claude-mythos-5` 模型(输入 $10 / 输出 $50,每百万 token;缓存读取 $1.00、缓存写入 $12.50),让用量统计能正确计价并展示([#4077](https://github.com/farion1231/cc-switch/pull/4077))。
### Fable 5 Verified 标识
设置「关于」页现在会在应用名与版本旁展示 Fable 5 Verified 标识,标明这是一个特别构建,版本徽标也居中到了应用名下方。
---
## 变更
### Claude Desktop 用量折叠进 Claude
看板不再展示独立的「Claude Desktop」分桶——它一直只能显示一个不完整的数字(Desktop 聊天用量根本不经过代理,而其 Code 页签的会话只是内嵌的 Claude Code 运行时写进共享的 `~/.claude/projects` 目录)。Desktop 的代理流量现在在展示上折叠进 `claude`,但记账层仍按它自己的 `app_type` 记录以便路由接管计费审计,真实值可在请求详情面板看到。
### 轻量化供应商健康检查
供应商健康检查不再发送真实的流式模型请求(很多第三方供应商会以 401/403/WAF 拦截,造成误报不可用),改为对供应商 `base_url` 做一次轻量的 HTTP 可达性探测:任何 HTTP 响应都视为可达,只有 DNS / 连接 / TLS / 超时才算失败。官方供应商(使用 OAuth、base_url 故意为空、没有可靠的可达性目标)会隐藏连通性按钮,原先「发送真实请求」的确认弹窗以及测试模型 / 提示词字段都被移除,降级延迟阈值设为 6s、超时 8s。该可达性检查永不重置熔断器——可达不等于可用(403 的 host 可达,但对真实流量是坏的),失败转移仍只由真实代理流量驱动。
### Codex 高级选项区整合
Codex 供应商表单现在把本地路由、模型映射、推理覆盖和自定义 User-Agent 折叠进一个可展开的高级选项区,与 Claude 表单一致(设置了 UA 或开启本地路由时自动展开)。自定义 User-Agent 现在对原生 Responses 供应商也可配置,此前它只有在开启 `openai_chat` 路由时才能触及。
### 用量工具栏与布局刷新
应用筛选改用品牌图标(经 ProviderIcon,「全部」用网格图标)渲染,取代在窄窗口下换行难看的文字页签;用量 Hero 也会显示所选应用的品牌图标,并把 Codex 的主题色从翠绿改为中性灰,贴合 OpenAI 的单色品牌。点击循环切换的刷新按钮改成了带本地化「关闭」标签的下拉选择,顶栏控件也压缩并对齐成统一的宽度分组,过长的日期范围标签做了截断处理。
### 关于面板加载更快
设置「关于」面板现在渐进式加载:应用版本徽标在解析完成的瞬间就显示,不再等待工具探测;每张工具卡片在自己的版本检测完成时立即更新(探测并发执行而非串行);探测结果在应用会话期内缓存并带 10 分钟 TTL,因此再次打开「关于」页签会复用缓存值、并在后台对过期项重新校验,而不是每次都把 6 个工具全部重探一遍。
### 火山方舟 Coding Plan 推广更新
把火山方舟(Volcengine Ark)预设在全部 6 个应用里更新到新的 Coding Plan 邀请链接(替换旧的 Agent Plan / 活动链接),并在四种语言里刷新了合作伙伴推广文案(两个月 75% 折扣 + 邀请码 6J6FV5N2),把产品名从 Agent Plan 订正为 Coding Plan。
### MiniMax 降为普通供应商
移除 MiniMax 的金色合作伙伴星标和 API key 推广横幅(从所有预设里删掉 `isPartner` 标志),它继续作为常规 `cn_official` 供应商保留图标与主题。推广文案保持休眠状态,必要时一行即可重新启用合作关系。
### 移除 LemonData、SudoCode 降级
彻底移除 LemonData 供应商预设(连同其推广文案、图标和赞助商条目),并把 SudoCode 从合作伙伴降为常规 `third_party` 供应商(去掉 `isPartner` 标志和推广文案,保留图标)。
### AtlasCloud Codex GLM 5.1 上下文窗口
为 AtlasCloud Codex 预设里的 `zai-org/glm-5.1` 模型声明 200,000 token 的上下文窗口,与其他 GLM 5.1 预设条目对齐。
---
## 修复
### 路由接管流量按真实上游模型计费
当请求被路由到了不同的上游(env 模型映射、Claude Desktop 路由、Copilot 归一化、Codex chat 覆盖)时,代理过去会按上游回显的模型来归因和计价,把 kimi / glm 的 token 记成、并按 `claude-*` 计价,成本被高估约 5–25 倍。现在转发器会捕获真实的出站模型,按「上游回显 → 出站模型 → 客户端别名」的顺序归因,并在每行持久化实际使用的定价依据(schema v11),该依据会贯穿成本回填和 30 天 rollup 裁剪;Claude Desktop 流量现在也记在它自己的 `app_type` 下,使其定价覆盖能正确生效。
### 格式转换路径的用量计量
审计并修复了代理各条格式转换路径(Chat、Responses、Gemini 转 Anthropic)上的 token / 缓存计量。代理现在会记录实际返回的模型,注入 `stream_options.include_usage` 让 OpenAI 兼容上游在流式时吐出 usage,在 Claude←OpenAI 路径上把 `cache_read``cache_creation` 从 input 中排除以阻止缓存 token 双计费,扣减 Gemini 的缓存提示 token,仍记录完全命中缓存的请求,并跳过过去会虚增请求数的合成全零 usage([#2774](https://github.com/farion1231/cc-switch/pull/2774))。
### 应用内更新不再卡死
从应用内安装更新时不再卡在「重启中」界面——过去会出现新版已装好、却必须手动强制退出的情况。下载—安装—重启整条链路现在完全在后端执行(新增 `install_update_and_restart` 命令),按平台决定安装顺序,并在重新执行前先销毁单实例锁,而不再依赖旧 WebView 在应用包已被替换之后继续跑 JS;退出请求也做了分类,让重启请求落到 Tauri 默认流程,而不是在窗口状态插件的互斥锁上死锁([#4069](https://github.com/farion1231/cc-switch/pull/4069)、[#4074](https://github.com/farion1231/cc-switch/pull/4074))。
### Codex 升级不再损坏安装
从设置「关于」页升级 Codex 不再让它抛出「Missing optional dependency @openai/codex-…」错误。升级链此前会先跑 `codex update`,而它在 npm 安装下其实是一次裸的重装、即便对应平台的二进制没装上也会报告成功;现在 Codex 已从「优先 self-update」路径里移除,并由一个 runnable 检测触发「卸载 + 重装」自愈(仅限 npm 管理的安装),这是唯一能真正补回缺失平台二进制的修复。
### 接管时保留 Codex OAuth 凭据
为 Codex 供应商开启代理接管时不再剥掉 `ANTHROPIC_AUTH_TOKEN` 占位符——此前这会在热切换、全新安装、以及被旧版本已剥过的 live 配置上破坏 Claude Code 的登录。现在对受管(非 Copilot)的 Codex 供应商无条件注入该占位符,包括只有 URL 的供应商;GitHub Copilot 的行为(仅 API_KEY)不变([#3789](https://github.com/farion1231/cc-switch/pull/3789)、[#3784](https://github.com/farion1231/cc-switch/issues/3784))。
### 跨配置目录切换的接管残留恢复
在代理接管激活时更改配置目录后重启应用,不再把 Claude / Codex / Gemini 留在指向已失效的本地代理上。现在旧实例会在重启前先还原被接管的 live 文件,首次运行的导入会拒绝把接管占位符当作供应商持久化,SSOT 还原也会在写回前校验当前供应商的配置里不含占位符([#4076](https://github.com/farion1231/cc-switch/pull/4076))。
### 格式转换兜底里错标的 SSE 响应聚合
经 Claude / Codex 格式转换的请求,当 MaaS 网关把一个 `stream:false` 的请求强制流式、并以非 SSE 的 Content-Type 返回 SSE 响应体时,不再以一句晦涩的 422「Failed to parse upstream response」失败。代理现在会在解析失败时嗅探 SSE、把分片聚合成单个 JSON 再跑既有转换器,让客户端仍能拿到有效的非流式响应;剩余的解析失败会附带 content-type、编码和响应体片段等诊断信息,deflate 解码也改为先尝试 zlib 再尝试裸流([#2234](https://github.com/farion1231/cc-switch/pull/2234))。
### Hermes 配置重复 YAML 键
Hermes 配置写入不再累积重复的顶层键(如 `mcp_servers`),那会导致「Failed to parse Hermes config as YAML: duplicate entry with key」错误。区段替换现在会从剩余文本里清除所有过期副本,而不是退化成追加;去重保护层同时处理 LF 和 CRLF 行尾;修复时保留最后(最新)的那份副本,与 Hermes 自身基于 PyYAML 的「后者胜」语义一致([#3267](https://github.com/farion1231/cc-switch/pull/3267)、[#3633](https://github.com/farion1231/cc-switch/issues/3633)、[#2973](https://github.com/farion1231/cc-switch/issues/2973)、[#2529](https://github.com/farion1231/cc-switch/issues/2529)、[#3310](https://github.com/farion1231/cc-switch/issues/3310)、[#3762](https://github.com/farion1231/cc-switch/issues/3762))。
### 用量查询韧性与错误清晰度
用量卡片不再因为单次瞬时抖动就变红:查询现在会重试一次,并在网络 / 超时 / 5xx 这类瞬时失败下继续展示上次成功的结果最多 10 分钟;而确定性失败(鉴权、空 key、未知供应商、4xx)会立即暴露并清空快照,避免凭据变更后陈旧额度又冒出来。原生余额 / Coding Plan / 订阅查询的超时从 10s 提高到 15s 以适配跨境慢端点,Coding Plan 也会返回明确的「API key is empty」/「Unknown coding plan provider」错误,而不是一句空白的失败。
### 用量脚本供应商凭据解析
自定义 JS 脚本的用量查询此前只靠猜测 env 字段来解析 `{{apiKey}}` / `{{baseUrl}}`,因此凭据存放在别处的应用(如 Codex 的 `auth.OPENAI_API_KEY``config.toml` 里的 base_url)总是拿到空值、即便供应商已完整配置也会失败。脚本查询及其测试 / 预览现在复用与原生余额路径相同的按应用凭据解析器,脚本里显式填写的非空值仍然优先([#1479](https://github.com/farion1231/cc-switch/pull/1479))。
### Claude Code Workflow 子 agent 用量统计
本地(无代理)的会话日志用量统计此前漏掉了 Claude Code Workflow 子 agent 的流量,整体用量被低估约 4.1%(集中在 workflow / subagent 的会话记录里)。扫描器现在会深入更深一层的 `subagents/workflows/wf_*/` 记录目录,解析器也不再丢弃那些缺少 `stop_reason`、但已经产生 input / 缓存 token 成本的 assistant 消息;去重逻辑不变,因此不会重复计数。
### Codex `/responses` 文本模型图像整流
携带图片、且被路由到只支持文本的 OpenAI-chat 模型(如 DeepSeek `deepseek-v4-flash`)的 Codex `/responses` 请求,不再以 HTTP 400「unknown variant `image_url`」失败。媒体整流器现在也覆盖 Codex 适配器,会扫描 responses 的 `input` 里的 `input_image` 块,从而既能为已知的纯文本模型主动剥掉图片,也能在上游报「不支持图片」时把图片替换后重试。
### 智谱 Coding Plan 配额窗口误标
智谱 Coding Plan 视图不再在每个周周期的最后几个小时把 5 小时窗口和周窗口标反。两个窗口现在按显式的 `unit` 字段分类(3 = 5 小时、6 = 周),而不再靠按重置时间升序排序——后者恰好在用户最常查周额度的时候把两者标反;当字段缺失时仍回退到旧的重置时间启发式([#3036](https://github.com/farion1231/cc-switch/pull/3036))。
### macOS 重复供应商终端窗口
在 macOS 上启动供应商终端时不再在命令会话旁多开一个空窗口;Terminal.app 在冷启动时改用 `launch`(而非 `activate`),Ghostty 使用初始命令,从而只打开单个会话,并在 AppleScript 路径失败时保留回退方案([#4156](https://github.com/farion1231/cc-switch/pull/4156))。
### Claude Desktop 模型映射占位符
Claude Desktop 模型映射表单此前在「菜单展示名」和「请求模型」两列用了不一致的示例品牌(DeepSeek vs Kimi),暗示一个展示名会映射到不相关的模型。现在两个占位符都由每行的角色派生,从而保持品牌一致,轻量的 Haiku 档使用 flash 示例。
### 弹层被全屏面板遮挡
像供应商预设搜索这样的弹层和提示气泡不再渲染到全屏面板后面、看起来点了没反应;它们的 z-index 被提到全屏遮罩之上,同时仍低于模态对话框。
### ToggleRow 图标被挤压
开关行的图标在配上长描述时不再被压缩或变形,让图标在多行文字旁保持固定大小。
---
## 文档
### Release Notes 贡献者致谢恢复
恢复了 v3.16.1 与 v3.16.2 release notes 在三种语言里的贡献者致谢。
---
## 升级提醒
### 定价库 schema v11 自动迁移
本版给 `proxy_request_logs` 新增了 `pricing_model` 列、并按 `request_model` + `pricing_model` 重建了 rollup,启动时自动迁移、无需手动操作。历史行的成本在写入时已冻结、不会重算(`app_type="claude"` 的行混合了原生与转换两类来源);只有真实但当时未计价的接管行会保持零成本、待定价补齐后再回填。
### 模型映射新增第四档(Fable 5)
Claude Code 与 Claude Desktop 的模型映射现在是四档(Sonnet / Opus / Fable / Haiku)。老的三档供应商在重新打开并保存后会补上 `claude-fable-5` 档;该档留空表示继承 Sonnet。注意:在第三方端点上把任意一档留空,会原样透传该档的字面模型名并可能 404,请按需填写。
### 「Kimi For Coding」预设需要代理接管 + 白名单 UA
恢复的 Codex「Kimi For Coding」预设直接用默认的 `codex-cli` User-Agent 仍会被 403。要使用它,请开启代理接管,并在供应商高级选项里把自定义 User-Agent 设为白名单 UA(如 `claude-cli/*`)。
### 供应商健康检查语义变化
健康检查从「发送真实模型请求」改为「HTTP 可达性探测」。请注意可达 ≠ 可用:一个返回 403 的 host 是可达的,但对真实流量可能是坏的。失败转移的判定仍只由真实代理流量驱动,不受健康检查影响。
---
## 风险提示
本版本继续沿用此前版本对反向代理类功能的风险提示。
**Codex OAuth 反向代理**:使用 ChatGPT 订阅的 Codex OAuth 反代可能违反 OpenAI 服务条款,详情见 [v3.13.0 release notes](v3.13.0-zh.md#-风险提示)。
**Codex 第三方供应商 Chat 路由**:通过 CC Switch 本地代理把 Codex 请求转换并转发到第三方供应商时,各供应商对计费、合规与数据留存的约束不同,请在使用前阅读目标供应商的服务条款。
**Claude Desktop 第三方供应商代理切换**:通过 CC Switch 内置代理网关把 Claude Desktop 的请求转到第三方供应商时,同样需要遵守目标供应商的计费、合规与数据留存约束。
用户启用上述功能即表示自行承担相关风险。CC Switch 不对因使用这些功能而导致的任何账号限制、警告或服务暂停承担责任。
---
## 致谢
感谢以下贡献者在 v3.16.3 中提交的功能与修复:
- [#3789](https://github.com/farion1231/cc-switch/pull/3789):接管时保留 Codex OAuth 凭据,感谢 @codeasier
- [#2774](https://github.com/farion1231/cc-switch/pull/2774):修复 Completions 转 Anthropic 时不记录实际返回模型、input token 计算错误,感谢 @LaoYueHanNi
- [#4069](https://github.com/farion1231/cc-switch/pull/4069):修复应用内更新后重启死锁,感谢 @thisTom
- [#4156](https://github.com/farion1231/cc-switch/pull/4156):修复 macOS 重复供应商终端窗口,感谢 @thisTom
- [#3267](https://github.com/farion1231/cc-switch/pull/3267):修复 Hermes 配置重复 YAML 键,感谢 @que3sui
- [#1479](https://github.com/farion1231/cc-switch/pull/1479):修复用量脚本供应商凭据解析,感谢 @pa001024
- [#3975](https://github.com/farion1231/cc-switch/pull/3975):新增预设供应商搜索与排序,感谢 @Nastem
- [#4183](https://github.com/farion1231/cc-switch/pull/4183):调整预设供应商按钮外观与搜索框位置,感谢 @WangJiati
- [#4077](https://github.com/farion1231/cc-switch/pull/4077):新增 claude-mythos-5 模型定价,感谢 @osscv
也感谢所有在 v3.16.2 发布后反馈用量计费、本地代理稳健性、Codex 升级与平台兼容性问题的用户,很多补丁都来自这些真实使用场景里的复现线索。
---
## 下载与安装
访问 [Releases](https://github.com/farion1231/cc-switch/releases/latest) 下载对应版本。
### 系统要求
| 系统 | 最低版本 | 架构 |
| ------- | -------------------------- | ----------------------------------- |
| Windows | Windows 10 及以上 | x64 |
| macOS | macOS 12 (Monterey) 及以上 | Intel (x64) / Apple Silicon (arm64) |
| Linux | 见下表 | x64 / ARM64 |
### Windows
| 文件 | 说明 |
| ---------------------------------------- | ----------------------------------- |
| `CC-Switch-v3.16.3-Windows.msi` | **推荐** - MSI 安装包,支持自动更新 |
| `CC-Switch-v3.16.3-Windows-Portable.zip` | 便携版,解压即用,不写入注册表 |
### macOS
| 文件 | 说明 |
| -------------------------------- | --------------------------------------------- |
| `CC-Switch-v3.16.3-macOS.dmg` | **推荐** - DMG 安装包,拖入 Applications 即可 |
| `CC-Switch-v3.16.3-macOS.zip` | 解压后拖入 ApplicationsUniversal Binary |
| `CC-Switch-v3.16.3-macOS.tar.gz` | 用于 Homebrew 安装和自动更新 |
Homebrew 安装:
```bash
brew install --cask cc-switch
```
更新:
```bash
brew upgrade --cask cc-switch
```
### Linux
Linux 资产同时提供 **x86_64****ARM64**`aarch64`)两种架构。资产文件名中包含架构标识,请按你机器的 `uname -m` 输出选择对应版本:
- `CC-Switch-v3.16.3-Linux-x86_64.AppImage` / `.deb` / `.rpm`
- `CC-Switch-v3.16.3-Linux-arm64.AppImage` / `.deb` / `.rpm`
| 发行版 | 推荐格式 | 安装方式 |
| --------------------------------------- | ----------- | ---------------------------------------------------------------------- |
| Ubuntu / Debian / Linux Mint / Pop!\_OS | `.deb` | `sudo dpkg -i CC-Switch-*.deb``sudo apt install ./CC-Switch-*.deb` |
| Fedora / RHEL / CentOS / Rocky Linux | `.rpm` | `sudo rpm -i CC-Switch-*.rpm``sudo dnf install ./CC-Switch-*.rpm` |
| openSUSE | `.rpm` | `sudo zypper install ./CC-Switch-*.rpm` |
| Arch Linux / Manjaro | `.AppImage` | 添加执行权限后直接运行,或使用 AUR |
| 其他发行版 / 不确定 | `.AppImage` | `chmod +x CC-Switch-*.AppImage && ./CC-Switch-*.AppImage` |
+1 -1
View File
@@ -88,7 +88,7 @@ Codex presets fall into two groups by upstream protocol.
|-------------|-------------| |-------------|-------------|
| DeepSeek | DeepSeek models | | DeepSeek | DeepSeek models |
| Zhipu GLM / GLM en | Zhipu AI GLM models | | Zhipu GLM / GLM en | Zhipu AI GLM models |
| Kimi | Moonshot Kimi models | | Kimi / Kimi For Coding | Moonshot Kimi models |
| MiniMax / MiniMax en | MiniMax models | | MiniMax / MiniMax en | MiniMax models |
| StepFun / StepFun en | StepFun Step models | | StepFun / StepFun en | StepFun Step models |
| Baidu Qianfan Coding Plan | Baidu Qianfan coding plan | | Baidu Qianfan Coding Plan | Baidu Qianfan coding plan |
+1 -1
View File
@@ -88,7 +88,7 @@ Codex プリセットは上流プロトコルにより 2 種類に分かれま
|----------|------| |----------|------|
| DeepSeek | DeepSeek モデル | | DeepSeek | DeepSeek モデル |
| Zhipu GLM / GLM en | Zhipu AI の GLM モデル | | Zhipu GLM / GLM en | Zhipu AI の GLM モデル |
| Kimi | Moonshot Kimi モデル | | Kimi / Kimi For Coding | Moonshot Kimi モデル |
| MiniMax / MiniMax en | MiniMax モデル | | MiniMax / MiniMax en | MiniMax モデル |
| StepFun / StepFun en | StepFun Step モデル | | StepFun / StepFun en | StepFun Step モデル |
| Baidu Qianfan Coding Plan | 百度千帆コーディングプラン | | Baidu Qianfan Coding Plan | 百度千帆コーディングプラン |
+1 -1
View File
@@ -88,7 +88,7 @@ Codex 预设按上游协议分两类。
|----------|------| |----------|------|
| DeepSeek | DeepSeek 模型 | | DeepSeek | DeepSeek 模型 |
| 智谱 GLM / GLM en | 智谱 AI 的 GLM 模型 | | 智谱 GLM / GLM en | 智谱 AI 的 GLM 模型 |
| Kimi | Moonshot Kimi 模型 | | Kimi / Kimi For Coding | Moonshot Kimi 模型 |
| MiniMax / MiniMax en | MiniMax 模型 | | MiniMax / MiniMax en | MiniMax 模型 |
| StepFun / StepFun en | 阶跃星辰 Step 模型 | | StepFun / StepFun en | 阶跃星辰 Step 模型 |
| 百度千帆 Coding Plan | 百度千帆编程套餐 | | 百度千帆 Coding Plan | 百度千帆编程套餐 |
+1 -1
View File
@@ -1,6 +1,6 @@
{ {
"name": "cc-switch", "name": "cc-switch",
"version": "3.16.2", "version": "3.16.3",
"description": "All-in-One Assistant for Claude Code, Codex & Gemini CLI", "description": "All-in-One Assistant for Claude Code, Codex & Gemini CLI",
"type": "module", "type": "module",
"scripts": { "scripts": {
+1 -1
View File
@@ -735,7 +735,7 @@ dependencies = [
[[package]] [[package]]
name = "cc-switch" name = "cc-switch"
version = "3.16.2" version = "3.16.3"
dependencies = [ dependencies = [
"anyhow", "anyhow",
"arboard", "arboard",
+1 -1
View File
@@ -1,6 +1,6 @@
[package] [package]
name = "cc-switch" name = "cc-switch"
version = "3.16.2" version = "3.16.3"
description = "All-in-One Assistant for Claude Code, Codex & Gemini CLI" description = "All-in-One Assistant for Claude Code, Codex & Gemini CLI"
authors = ["Jason Young"] authors = ["Jason Young"]
license = "MIT" license = "MIT"
+159 -9
View File
@@ -60,6 +60,16 @@ pub const DEFAULT_PROXY_ROUTES: &[ClaudeDesktopDefaultRoute] = &[
env_key: "ANTHROPIC_DEFAULT_HAIKU_MODEL", env_key: "ANTHROPIC_DEFAULT_HAIKU_MODEL",
supports_1m: true, supports_1m: true,
}, },
// fable 置于末尾:next_catalog_safe_route_id 给非安全品牌 route 借用合法
// 角色名时仍按 sonnet→opus→haiku 顺序分配(向后兼容既有 catalog),不会把
// 无关品牌模型借用成 fable 顶配档名。UI 行序由前端 ROLE_ORDER 独立控制为
// Sonnet/Opus/Fable/Haiku(所有 proxy 路径都经 normalizeProxyRows 重排),
// 与此处物理顺序无关。
ClaudeDesktopDefaultRoute {
route_id: "claude-fable-5",
env_key: "ANTHROPIC_DEFAULT_FABLE_MODEL",
supports_1m: true,
},
]; ];
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
@@ -238,11 +248,16 @@ pub fn is_claude_safe_model_id(model: &str) -> bool {
// 角色前缀后必须还有实际模型标识,拒绝 claude-sonnet- 这类退化值 // 角色前缀后必须还有实际模型标识,拒绝 claude-sonnet- 这类退化值
// (否则会写入 profile 并触发 Claude Desktop fail-all 拒收整组)。 // (否则会写入 profile 并触发 Claude Desktop fail-all 拒收整组)。
["sonnet-", "opus-", "haiku-"].iter().any(|prefix| { // Claude Desktop 1.12603.1+ 的 fail-all validator 角色白名单已纳入 fable
route_tail // app.asar 内 ["sonnet","opus","haiku","fable","mythos"]),故 claude-fable-*
.strip_prefix(prefix) // 可安全写入 profile。mythos 官方未公开发布,暂不暴露给用户。
.is_some_and(|rest| !rest.is_empty()) ["sonnet-", "opus-", "haiku-", "fable-"]
}) .iter()
.any(|prefix| {
route_tail
.strip_prefix(prefix)
.is_some_and(|rest| !rest.is_empty())
})
} }
fn inference_model_json(spec: &InferenceModelSpec) -> Value { fn inference_model_json(spec: &InferenceModelSpec) -> Value {
@@ -693,8 +708,8 @@ pub fn map_proxy_request_model(mut body: Value, provider: &Provider) -> Result<V
.or_else(|| { .or_else(|| {
// 角色关键词回落:Claude Desktop 的部分调用(如子 agent)会请求带发布 // 角色关键词回落:Claude Desktop 的部分调用(如子 agent)会请求带发布
// 日期后缀的完整官方名(claude-haiku-4-5-20251001),与 manifest 暴露的 // 日期后缀的完整官方名(claude-haiku-4-5-20251001),与 manifest 暴露的
// 简短 route_id(claude-haiku-4-5)不精确相等。按 opus/haiku/sonnet 归类 // 简短 route_id(claude-haiku-4-5)不精确相等。按 opus/haiku/fable/sonnet
// 到同档已配置路由,对齐 Claude Code model_mapper 的宽松匹配。 // 归类到同档已配置路由,对齐 Claude Code model_mapper 的宽松匹配。
// 匹配前已剥离本地 [1m] 标记;这里仍只对 Claude Desktop 认可的 // 匹配前已剥离本地 [1m] 标记;这里仍只对 Claude Desktop 认可的
// 安全模型名回落,避免非 Claude route 被误映射。 // 安全模型名回落,避免非 Claude route 被误映射。
if !is_claude_safe_model_id(requested) { if !is_claude_safe_model_id(requested) {
@@ -704,6 +719,18 @@ pub fn map_proxy_request_model(mut body: Value, provider: &Provider) -> Result<V
routes routes
.iter() .iter()
.find(|route| claude_role_keyword(&route.route_id) == Some(role)) .find(|route| claude_role_keyword(&route.route_id) == Some(role))
// 老用户只配了 Sonnet/Opus/Haiku 三档时,fable 请求降级到 opus 档,
// 与官方安全分类器的降级方向一致,避免 route_unknown 硬错误。
// 用户一旦显式配置 fable 档,上面的精确角色匹配会优先命中。
.or_else(|| {
(role == "fable")
.then(|| {
routes
.iter()
.find(|route| claude_role_keyword(&route.route_id) == Some("opus"))
})
.flatten()
})
.map(|route| route.upstream_model.clone()) .map(|route| route.upstream_model.clone())
}) })
.ok_or_else(|| { .ok_or_else(|| {
@@ -754,15 +781,17 @@ fn is_compatible_opus_route_alias(route_id: &str, requested: &str) -> bool {
) )
} }
/// 按角色关键词(opus / haiku / sonnet)归类一个 Claude 模型名/route_id。 /// 按角色关键词(opus / haiku / fable / sonnet)归类一个 Claude 模型名/route_id。
/// 仅在命中明确角色词时返回 Some,未知模型返回 None(不回落,保持精确报错语义)。 /// 仅在命中明确角色词时返回 Some,未知模型返回 None(不回落,保持精确报错语义)。
/// 与前端 `routeRoleFromId` 同序(opus → haiku → sonnet)。 /// 与前端 `routeRoleFromId` 同序(opus → haiku → fable → sonnet)。
fn claude_role_keyword(model: &str) -> Option<&'static str> { fn claude_role_keyword(model: &str) -> Option<&'static str> {
let normalized = model.to_ascii_lowercase(); let normalized = model.to_ascii_lowercase();
if normalized.contains("opus") { if normalized.contains("opus") {
Some("opus") Some("opus")
} else if normalized.contains("haiku") { } else if normalized.contains("haiku") {
Some("haiku") Some("haiku")
} else if normalized.contains("fable") {
Some("fable")
} else if normalized.contains("sonnet") { } else if normalized.contains("sonnet") {
Some("sonnet") Some("sonnet")
} else { } else {
@@ -1650,6 +1679,127 @@ mod tests {
assert!(err.to_string().contains("gpt-5")); assert!(err.to_string().contains("gpt-5"));
} }
#[test]
fn claude_desktop_proxy_maps_fable_to_opus_tier() {
// issue #4026/#4049:老用户只配 Sonnet/Opus/Haiku 三档、未显式配置
// fable 档时,fable 请求按官方分类器降级方向回落到 opus 档兜底。
let mut provider = proxy_provider("proxy");
provider
.meta
.as_mut()
.expect("meta")
.claude_desktop_model_routes = std::collections::HashMap::from([
(
"claude-opus-4-8".to_string(),
ClaudeDesktopModelRoute {
model: "upstream-opus".to_string(),
label_override: None,
supports_1m: Some(true),
},
),
(
"claude-sonnet-4-6".to_string(),
ClaudeDesktopModelRoute {
model: "upstream-sonnet".to_string(),
label_override: None,
supports_1m: Some(true),
},
),
]);
let mapped = map_proxy_request_model(
json!({"model": "claude-fable-5", "messages": []}),
&provider,
)
.expect("fable should fall back to the opus tier");
assert_eq!(mapped["model"], json!("upstream-opus"));
// 带 [1m] 标记与日期后缀的形态也应命中同一回落。
let mapped_one_m = map_proxy_request_model(
json!({"model": "claude-fable-5[1m]", "messages": []}),
&provider,
)
.expect("fable with [1m] marker should fall back to the opus tier");
assert_eq!(mapped_one_m["model"], json!("upstream-opus"));
let mapped_dated = map_proxy_request_model(
json!({"model": "claude-fable-5-20260609", "messages": []}),
&provider,
)
.expect("dated fable alias should fall back to the opus tier");
assert_eq!(mapped_dated["model"], json!("upstream-opus"));
}
#[test]
fn claude_desktop_proxy_fable_without_opus_route_still_errors() {
// 没有 opus 档可回落时保持精确报错语义,不静默落到其他档。
let mut provider = proxy_provider("proxy");
provider
.meta
.as_mut()
.expect("meta")
.claude_desktop_model_routes = std::collections::HashMap::from([(
"claude-sonnet-4-6".to_string(),
ClaudeDesktopModelRoute {
model: "upstream-sonnet".to_string(),
label_override: None,
supports_1m: Some(true),
},
)]);
let err = map_proxy_request_model(
json!({"model": "claude-fable-5", "messages": []}),
&provider,
)
.expect_err("fable without an opus route should fail");
assert!(err.to_string().contains("claude-fable-5"));
}
#[test]
fn claude_desktop_proxy_maps_fable_to_dedicated_route() {
// Desktop 1.12603.1+ fail-all 校验已放行 claude-fable-5,用户可显式配置
// 独立 fable 档;此时 fable 请求精确命中 fable 档,不再降级到 opus。
let mut provider = proxy_provider("proxy");
provider
.meta
.as_mut()
.expect("meta")
.claude_desktop_model_routes = std::collections::HashMap::from([
(
"claude-opus-4-8".to_string(),
ClaudeDesktopModelRoute {
model: "upstream-opus".to_string(),
label_override: None,
supports_1m: Some(true),
},
),
(
"claude-fable-5".to_string(),
ClaudeDesktopModelRoute {
model: "upstream-fable".to_string(),
label_override: None,
supports_1m: Some(true),
},
),
]);
// 精确匹配优先命中 fable 档
let mapped = map_proxy_request_model(
json!({"model": "claude-fable-5", "messages": []}),
&provider,
)
.expect("explicit fable route should match");
assert_eq!(mapped["model"], json!("upstream-fable"));
// 带日期后缀经角色关键词回落仍归 fable 档,而非降级 opus
let mapped_dated = map_proxy_request_model(
json!({"model": "claude-fable-5-20260609", "messages": []}),
&provider,
)
.expect("dated fable alias should map via fable role keyword");
assert_eq!(mapped_dated["model"], json!("upstream-fable"));
}
#[test] #[test]
fn claude_desktop_proxy_accepts_opus_4_7_4_8_alias_during_rollout() { fn claude_desktop_proxy_accepts_opus_4_7_4_8_alias_during_rollout() {
let mut provider = proxy_provider("proxy"); let mut provider = proxy_provider("proxy");
+332 -1
View File
@@ -208,7 +208,10 @@ pub fn extract_codex_api_key(auth: Option<&Value>, config_text: Option<&str>) ->
/// Extract the upstream base URL from a Codex `config.toml` string. /// Extract the upstream base URL from a Codex `config.toml` string.
/// ///
/// Prefers the active `[model_providers.<model_provider>].base_url`, falling /// Prefers the active `[model_providers.<model_provider>].base_url`, falling
/// back to a top-level `base_url` when no model provider is selected. /// back to a top-level `base_url`. Deliberately never reads a non-active
/// `[model_providers.*]` section — the frontend `extractCodexBaseUrl`
/// (`getRecoverableBaseUrlAssignments`) excludes those too, and a leftover
/// section unrelated to the active provider must not leak into `{{baseUrl}}`.
pub fn extract_codex_base_url(config_text: &str) -> Option<String> { pub fn extract_codex_base_url(config_text: &str) -> Option<String> {
let doc = config_text.parse::<toml::Value>().ok()?; let doc = config_text.parse::<toml::Value>().ok()?;
@@ -1040,16 +1043,197 @@ pub fn read_codex_live_settings() -> Result<Value, AppError> {
Ok(json!({ "auth": auth, "config": cfg_text })) Ok(json!({ "auth": auth, "config": cfg_text }))
} }
/// `[model_providers.custom]` entry that makes an official (ChatGPT OAuth)
/// provider behave like Codex's built-in `openai` entry while running under
/// the shared custom id: `requires_openai_auth` routes auth to the ChatGPT
/// login in `auth.json` (base_url then defaults to the official Codex
/// backend), `name = "OpenAI"` keeps Codex's `is_openai()` feature gates
/// (web search, remote compaction), and `supports_websockets` restores the
/// built-in default that custom entries otherwise lose.
fn codex_unified_official_provider_table() -> toml_edit::Table {
let mut table = toml_edit::Table::new();
table["name"] = toml_edit::value("OpenAI");
table["requires_openai_auth"] = toml_edit::value(true);
table["supports_websockets"] = toml_edit::value(true);
table["wire_api"] = toml_edit::value("responses");
table
}
fn table_matches_codex_unified_official_provider(table: &toml_edit::Table) -> bool {
table.len() == 4
&& table.get("name").and_then(|item| item.as_str()) == Some("OpenAI")
&& table
.get("requires_openai_auth")
.and_then(|item| item.as_bool())
== Some(true)
&& table
.get("supports_websockets")
.and_then(|item| item.as_bool())
== Some(true)
&& table.get("wire_api").and_then(|item| item.as_str()) == Some("responses")
}
/// 统一 Codex 会话历史:把官方供应商的 live 配置改写为以共享的
/// `custom` model_provider 标识运行(认证仍走 `auth.json` 的 ChatGPT 登录),
/// 使开关开启后创建的官方会话与第三方会话共用同一个 resume 历史桶。
///
/// 两种情况拒绝注入、原样返回:
/// - 配置已有显式 `model_provider`:用户手工指定的路由不被覆盖;
/// - 配置已有形态不同的 `[model_providers.custom]` 表:设置 `model_provider`
/// 会激活这张我们不认识的表(可能带第三方 base_url/token,会把 ChatGPT
/// OAuth 流量路由到错误后端),宁可让开关对该配置不生效。
pub fn inject_codex_unified_session_bucket(config_text: &str) -> Result<String, AppError> {
let mut doc = config_text
.parse::<DocumentMut>()
.map_err(|e| AppError::Message(format!("Invalid Codex config.toml: {e}")))?;
if doc.get("model_provider").is_some() {
return Ok(config_text.to_string());
}
let existing_custom_conflicts = doc
.get("model_providers")
.and_then(|item| item.as_table())
.and_then(|providers| providers.get(CC_SWITCH_CODEX_MODEL_PROVIDER_ID))
.and_then(|item| item.as_table())
.is_some_and(|table| !table_matches_codex_unified_official_provider(table));
if existing_custom_conflicts {
log::warn!(
"官方 Codex 配置已存在自定义 [model_providers.custom],跳过统一会话路由注入以避免激活未知路由"
);
return Ok(config_text.to_string());
}
doc["model_provider"] = toml_edit::value(CC_SWITCH_CODEX_MODEL_PROVIDER_ID);
if doc.get("model_providers").is_none() {
let mut parent = toml_edit::Table::new();
parent.set_implicit(true);
doc["model_providers"] = toml_edit::Item::Table(parent);
}
if let Some(providers) = doc["model_providers"].as_table_mut() {
if !providers.contains_key(CC_SWITCH_CODEX_MODEL_PROVIDER_ID) {
providers.insert(
CC_SWITCH_CODEX_MODEL_PROVIDER_ID,
toml_edit::Item::Table(codex_unified_official_provider_table()),
);
}
}
Ok(doc.to_string())
}
/// `inject_codex_unified_session_bucket` 的反向操作:从配置文本里剥掉注入的
/// 统一会话路由,保证切换回填不会把它带进数据库的存储配置(关闭开关后
/// 切换即可完全还原)。仅当形态与注入产物完全一致时才剥离;第三方模板和
/// 用户自定义的 `custom` 条目(带 base_url 等差异字段)原样保留。
pub fn strip_codex_unified_session_bucket(config_text: &str) -> Result<String, AppError> {
if !config_text.contains("model_provider") {
return Ok(config_text.to_string());
}
let mut doc = config_text
.parse::<DocumentMut>()
.map_err(|e| AppError::Message(format!("Invalid Codex config.toml: {e}")))?;
if doc.get("model_provider").and_then(|item| item.as_str())
!= Some(CC_SWITCH_CODEX_MODEL_PROVIDER_ID)
{
return Ok(config_text.to_string());
}
let matches_injected = doc
.get("model_providers")
.and_then(|item| item.as_table())
.and_then(|providers| providers.get(CC_SWITCH_CODEX_MODEL_PROVIDER_ID))
.and_then(|item| item.as_table())
.is_some_and(table_matches_codex_unified_official_provider);
if !matches_injected {
return Ok(config_text.to_string());
}
doc.as_table_mut().remove("model_provider");
let providers_empty = doc["model_providers"]
.as_table_mut()
.map(|providers| {
providers.remove(CC_SWITCH_CODEX_MODEL_PROVIDER_ID);
providers.is_empty()
})
.unwrap_or(false);
if providers_empty {
doc.as_table_mut().remove("model_providers");
}
Ok(doc.to_string())
}
/// 统一会话开关开启时,把官方供应商 `{ auth, config }` 设置对象中的
/// config 文本注入共享 custom 路由;开关关闭或非官方供应商时不做改动。
///
/// 普通 live 写入(`write_codex_live_for_provider`)与代理接管备份
/// `update_live_backup_from_provider`)两条落盘路径共用:接管期间
/// live 归代理所有,注入必须进备份,接管释放恢复的 live 才带统一路由。
pub fn apply_codex_unified_session_bucket_to_settings(
category: Option<&str>,
settings: &mut Value,
) -> Result<(), AppError> {
if category != Some("official") || !crate::settings::unify_codex_session_history() {
return Ok(());
}
let config_text = settings
.get("config")
.and_then(|value| value.as_str())
.unwrap_or("")
.to_string();
let injected = inject_codex_unified_session_bucket(&config_text)?;
if injected != config_text {
if let Some(obj) = settings.as_object_mut() {
obj.insert("config".to_string(), Value::String(injected));
}
}
Ok(())
}
/// Backfill helper: strip the unified-session injection from a live
/// `{ auth, config }` settings object before it is stored back to the DB.
pub fn strip_codex_unified_session_bucket_from_settings(
settings: &mut Value,
) -> Result<(), AppError> {
let Some(config_text) = settings
.get("config")
.and_then(|value| value.as_str())
.map(str::to_string)
else {
return Ok(());
};
let stripped = strip_codex_unified_session_bucket(&config_text)?;
if stripped != config_text {
if let Some(obj) = settings.as_object_mut() {
obj.insert("config".to_string(), Value::String(stripped));
}
}
Ok(())
}
/// Route a Codex live write between full auth+config or config-only. /// Route a Codex live write between full auth+config or config-only.
/// ///
/// Official providers with usable login material own `auth.json`. Third-party /// Official providers with usable login material own `auth.json`. Third-party
/// providers only touch `config.toml` when the compatibility setting is enabled /// providers only touch `config.toml` when the compatibility setting is enabled
/// so the user's ChatGPT login cache survives provider switches. /// so the user's ChatGPT login cache survives provider switches.
///
/// 统一会话开关开启时,官方配置在落盘前注入共享的 `custom` 路由
/// (见 `inject_codex_unified_session_bucket`)。
pub fn write_codex_live_for_provider( pub fn write_codex_live_for_provider(
category: Option<&str>, category: Option<&str>,
auth: &Value, auth: &Value,
config_text: Option<&str>, config_text: Option<&str>,
) -> Result<(), AppError> { ) -> Result<(), AppError> {
let unified_official_config =
if category == Some("official") && crate::settings::unify_codex_session_history() {
Some(inject_codex_unified_session_bucket(
config_text.unwrap_or(""),
)?)
} else {
None
};
let config_text = unified_official_config.as_deref().or(config_text);
let should_write_auth = (category == Some("official") && codex_auth_has_login_material(auth)) let should_write_auth = (category == Some("official") && codex_auth_has_login_material(auth))
|| (category != Some("official") || (category != Some("official")
&& !crate::settings::preserve_codex_official_auth_on_switch()); && !crate::settings::preserve_codex_official_auth_on_switch());
@@ -1254,6 +1438,153 @@ mod tests {
use super::*; use super::*;
use serde_json::json; use serde_json::json;
#[test]
fn unified_session_bucket_injects_for_empty_official_config() {
let injected = inject_codex_unified_session_bucket("").expect("inject");
let doc: toml::Table = toml::from_str(&injected).expect("parse injected config");
assert_eq!(
doc.get("model_provider").and_then(|v| v.as_str()),
Some(CC_SWITCH_CODEX_MODEL_PROVIDER_ID)
);
let custom = doc["model_providers"][CC_SWITCH_CODEX_MODEL_PROVIDER_ID]
.as_table()
.expect("custom provider table");
assert_eq!(custom.get("name").and_then(|v| v.as_str()), Some("OpenAI"));
assert_eq!(
custom.get("requires_openai_auth").and_then(|v| v.as_bool()),
Some(true)
);
assert_eq!(
custom.get("supports_websockets").and_then(|v| v.as_bool()),
Some(true)
);
assert_eq!(
custom.get("wire_api").and_then(|v| v.as_str()),
Some("responses")
);
}
#[test]
fn unified_session_bucket_preserves_other_keys_and_explicit_routing() {
let with_catalog = "model_catalog_json = \"cc-switch-model-catalog.json\"\n";
let injected = inject_codex_unified_session_bucket(with_catalog).expect("inject");
assert!(injected.contains("model_catalog_json"));
assert!(injected.contains("model_provider = \"custom\""));
// 用户显式指定过 model_provider 的官方配置不被覆盖
let explicit = "model_provider = \"openai_https\"\n";
let unchanged = inject_codex_unified_session_bucket(explicit).expect("inject");
assert_eq!(unchanged, explicit);
}
#[test]
fn unified_session_bucket_skips_conflicting_custom_table() {
// 残留的非注入形态 custom 表:设置 model_provider 会把官方流量
// 路由到表里的第三方端点,必须整体拒绝注入。
let stale = r#"[model_providers.custom]
name = "Relay"
base_url = "https://relay.example/v1"
"#;
let unchanged = inject_codex_unified_session_bucket(stale).expect("inject");
assert_eq!(unchanged, stale);
// 已是注入形态的 custom 表(如重复注入)则照常补上 model_provider
let injected_once = inject_codex_unified_session_bucket("").expect("inject");
let reinjected = inject_codex_unified_session_bucket(&injected_once).expect("re-inject");
assert_eq!(reinjected, injected_once);
}
#[test]
fn unified_session_bucket_strip_round_trips_injection() {
let injected = inject_codex_unified_session_bucket("").expect("inject");
let stripped = strip_codex_unified_session_bucket(&injected).expect("strip");
assert_eq!(stripped.trim(), "");
let with_catalog = "model_catalog_json = \"cc-switch-model-catalog.json\"\n";
let injected = inject_codex_unified_session_bucket(with_catalog).expect("inject");
let stripped = strip_codex_unified_session_bucket(&injected).expect("strip");
assert_eq!(stripped, with_catalog);
}
#[test]
fn unified_session_bucket_strip_keeps_third_party_custom_entry() {
// 第三方模板同样用 custom 路由,但条目带 base_url 等差异字段,
// 形态不等于注入产物,必须原样保留。
let third_party = r#"model_provider = "custom"
[model_providers.custom]
name = "Relay"
base_url = "https://relay.example/v1"
wire_api = "responses"
requires_openai_auth = true
"#;
let untouched = strip_codex_unified_session_bucket(third_party).expect("strip");
assert_eq!(untouched, third_party);
}
#[test]
fn unified_session_bucket_strip_from_settings_only_touches_config() {
let injected = inject_codex_unified_session_bucket("").expect("inject");
let mut settings = json!({
"auth": { "tokens": { "access_token": "secret" } },
"config": injected,
});
strip_codex_unified_session_bucket_from_settings(&mut settings).expect("strip settings");
assert_eq!(
settings
.get("config")
.and_then(|v| v.as_str())
.map(str::trim),
Some("")
);
assert!(settings.pointer("/auth/tokens/access_token").is_some());
}
#[test]
fn extract_base_url_prefers_active_provider_section() {
let input = r#"model_provider = "azure"
[model_providers.azure]
base_url = "https://azure.example.com/v1"
[model_providers.other]
base_url = "https://other.example.com/v1"
"#;
assert_eq!(
extract_codex_base_url(input).as_deref(),
Some("https://azure.example.com/v1")
);
}
#[test]
fn extract_base_url_falls_back_to_top_level_only() {
let top_level = r#"base_url = "https://top-level.example.com/v1""#;
assert_eq!(
extract_codex_base_url(top_level).as_deref(),
Some("https://top-level.example.com/v1")
);
}
// Mirrors the frontend extractCodexBaseUrl: a non-active provider section
// is never a credential source, whether the active provider points
// elsewhere (e.g. the built-in "openai") or none is selected at all.
#[test]
fn extract_base_url_ignores_non_active_provider_sections() {
let mismatched = r#"model_provider = "openai"
[model_providers.custom]
base_url = "https://leftover.example.com/v1"
"#;
assert_eq!(extract_codex_base_url(mismatched), None);
let no_active = r#"[model_providers.any]
base_url = "https://single.example.com/v1"
"#;
assert_eq!(extract_codex_base_url(no_active), None);
}
#[test] #[test]
fn prepare_provider_live_config_rejects_key_without_config() { fn prepare_provider_live_config_rejects_key_without_config() {
let err = prepare_codex_provider_live_config(&json!({"OPENAI_API_KEY": "sk-test"}), "") let err = prepare_codex_provider_live_config(&json!({"OPENAI_API_KEY": "sk-test"}), "")
+865 -6
View File
@@ -10,7 +10,8 @@ use crate::config::{atomic_write, copy_file, get_app_config_dir};
use crate::database::{is_official_seed_id, Database}; use crate::database::{is_official_seed_id, Database};
use crate::error::AppError; use crate::error::AppError;
use crate::settings::{ use crate::settings::{
CodexProviderTemplateMigration, CodexThirdPartyHistoryProviderBucketMigration, CodexOfficialHistoryUnifyMigration, CodexProviderTemplateMigration,
CodexThirdPartyHistoryProviderBucketMigration,
}; };
use chrono::{Local, Utc}; use chrono::{Local, Utc};
use rusqlite::{backup::Backup, params_from_iter, Connection}; use rusqlite::{backup::Backup, params_from_iter, Connection};
@@ -24,7 +25,25 @@ use std::time::{Duration, SystemTime};
use toml_edit::DocumentMut; use toml_edit::DocumentMut;
const MIGRATION_NAME: &str = "codex-history-provider-migration-v1"; const MIGRATION_NAME: &str = "codex-history-provider-migration-v1";
const OFFICIAL_UNIFY_MIGRATION_NAME: &str = "codex-official-history-unify-v1";
/// 还原操作自身的备份目录(与迁移备份分开,保持迁移账本目录纯净)。
const OFFICIAL_UNIFY_RESTORE_BACKUP_NAME: &str = "codex-official-history-unify-restore-v1";
const CODEX_STATE_DB_FILENAME: &str = "state_5.sqlite"; const CODEX_STATE_DB_FILENAME: &str = "state_5.sqlite";
/// SQLite 变量上限保守值,IN 列表按此分块。
const STATE_DB_ID_CHUNK: usize = 500;
/// 串行化官方历史的迁移与还原:开启迁移(启动重试 + 设置保存后台任务)和
/// 关闭还原可能在毫秒级先后被触发,对同一批 jsonl / state DB 双向改写。
static CODEX_OFFICIAL_HISTORY_OP_LOCK: std::sync::Mutex<()> = std::sync::Mutex::new(());
fn lock_codex_official_history_op() -> std::sync::MutexGuard<'static, ()> {
CODEX_OFFICIAL_HISTORY_OP_LOCK
.lock()
.unwrap_or_else(|poisoned| poisoned.into_inner())
}
/// Codex 内建默认 provider idconfig.toml 没有 `model_provider` 键时会话归入此桶。
/// 官方订阅(ChatGPT OAuth / OpenAI API key)的历史会话都记录这个 id。
const OFFICIAL_OPENAI_CODEX_MODEL_PROVIDER_ID: &str = "openai";
const LEGACY_CC_SWITCH_CODEX_MODEL_PROVIDER_ID: &str = "ccswitch"; const LEGACY_CC_SWITCH_CODEX_MODEL_PROVIDER_ID: &str = "ccswitch";
// If a Codex preset ever used a temporary routing key, keep that old key here // If a Codex preset ever used a temporary routing key, keep that old key here
// so local history can be bucketed under the current custom provider id. // so local history can be bucketed under the current custom provider id.
@@ -120,7 +139,7 @@ pub fn maybe_migrate_codex_third_party_history_provider_bucket(
}); });
} }
let backup_root = migration_backup_root(); let backup_root = migration_backup_root(MIGRATION_NAME);
let codex_dir = get_codex_config_dir(); let codex_dir = get_codex_config_dir();
let migrated_jsonl_files = let migrated_jsonl_files =
migrate_codex_jsonl_files(&codex_dir, &source_provider_ids, &backup_root)?; migrate_codex_jsonl_files(&codex_dir, &source_provider_ids, &backup_root)?;
@@ -157,7 +176,7 @@ pub fn maybe_migrate_codex_provider_template_bucket(
}); });
} }
let backup_root = migration_backup_root(); let backup_root = migration_backup_root(MIGRATION_NAME);
let outcome = migrate_codex_provider_templates_to_custom(db, &backup_root)?; let outcome = migrate_codex_provider_templates_to_custom(db, &backup_root)?;
crate::settings::mark_codex_provider_template_migrated(CodexProviderTemplateMigration { crate::settings::mark_codex_provider_template_migrated(CodexProviderTemplateMigration {
completed_at: Utc::now().to_rfc3339(), completed_at: Utc::now().to_rfc3339(),
@@ -167,6 +186,475 @@ pub fn maybe_migrate_codex_provider_template_bucket(
Ok(outcome) Ok(outcome)
} }
/// 统一会话开关的存量迁移:把官方会话(内建 "openai" 桶)迁入共享 "custom" 桶。
///
/// 仅当用户在开启弹窗里勾选了"迁入既有官方会话"`unify_codex_migrate_existing`
/// 且本轮未完成时执行;开关关闭时标记与勾选意愿都会被清除(见 `save_settings`),
/// 重新开启并再次勾选即可补迁关闭期间产生的官方会话。
/// custom 桶里官方与第三方会话无法区分,自动逻辑绝不反向搬回;
/// 用户可在关闭开关时选择按备份账本精确还原(见 `restore_codex_official_history_from_backups`)。
/// 迁移前 jsonl / state DB 均备份到 `~/.cc-switch/backups/codex-official-history-unify-v1/`。
pub fn maybe_migrate_codex_official_history_to_unified_bucket(
) -> Result<CodexHistoryProviderBucketMigrationOutcome, AppError> {
if !crate::settings::unify_codex_session_history() {
return Ok(CodexHistoryProviderBucketMigrationOutcome {
skipped_reason: Some("unify_toggle_off".to_string()),
..Default::default()
});
}
if !crate::settings::unify_codex_migrate_existing_requested() {
return Ok(CodexHistoryProviderBucketMigrationOutcome {
skipped_reason: Some("stock_migration_not_requested".to_string()),
..Default::default()
});
}
let _op_guard = lock_codex_official_history_op();
let codex_dir = get_codex_config_dir();
// marker 绑定迁移时的 Codex 目录:切换 codex_config_dir 后旧 marker 不再
// 挡住新目录的迁移(迁移幂等,重跑无害)。
let codex_dir_key = canonical_dir_string(&codex_dir);
if crate::settings::is_codex_official_history_unify_migrated_for_dir(&codex_dir_key) {
return Ok(CodexHistoryProviderBucketMigrationOutcome {
skipped_reason: Some("already_migrated".to_string()),
..Default::default()
});
}
// live 必须已实际路由到共享 custom 桶才允许迁移:官方配置的注入可能被拒
// (已有显式 model_provider / 形态冲突的 custom 表,见
// `inject_codex_unified_session_bucket`),代理接管期间的 live 也不带统一
// 路由(注入只进备份)。这些状态下新会话仍落 "openai" 桶,迁移只会把
// 历史搬进当前 live 看不见的桶里。开关与迁移意愿保持不动,待 live 真正
// 统一后(下次切换 / 接管释放后的启动重试)再迁。
if !codex_config_text_routes_custom(&read_codex_config_text().unwrap_or_default()) {
return Ok(CodexHistoryProviderBucketMigrationOutcome {
skipped_reason: Some("live_not_unified".to_string()),
..Default::default()
});
}
let source_provider_ids: BTreeSet<String> =
std::iter::once(OFFICIAL_OPENAI_CODEX_MODEL_PROVIDER_ID.to_string()).collect();
let backup_root = migration_backup_root(OFFICIAL_UNIFY_MIGRATION_NAME);
let migrated_jsonl_files =
migrate_codex_jsonl_files(&codex_dir, &source_provider_ids, &backup_root)?;
let migrated_state_rows =
migrate_codex_state_dbs(&codex_dir, &source_provider_ids, &backup_root)?;
// 备份代际记录来源目录,restore 据此只取当前目录的账本。
write_backup_generation_meta(&backup_root, &codex_dir_key)?;
let outcome = CodexHistoryProviderBucketMigrationOutcome {
source_provider_ids: source_provider_ids.into_iter().collect(),
migrated_jsonl_files,
migrated_state_rows,
skipped_reason: None,
};
// 条件写入在 settings 写锁内原子完成:"迁移期间开关被关掉"时不写完成标记,
// 避免下一次开启被标记挡住而漏迁"关闭期间"新产生的 openai 桶会话。
// 与关闭路径(update_settings + 清标记)共用同一把锁,无检查-写入窗口。
let marker_written = crate::settings::mark_codex_official_history_unify_migrated_if_enabled(
CodexOfficialHistoryUnifyMigration {
completed_at: Utc::now().to_rfc3339(),
target_provider_id: CC_SWITCH_CODEX_MODEL_PROVIDER_ID.to_string(),
migrated_jsonl_files,
migrated_state_rows,
codex_config_dir: Some(codex_dir_key),
},
)?;
if !marker_written {
return Ok(CodexHistoryProviderBucketMigrationOutcome {
skipped_reason: Some("toggle_disabled_during_migration".to_string()),
..outcome
});
}
Ok(outcome)
}
/// live config.toml 是否路由到共享 custom 桶(会话分桶只看这个实态:
/// base_url / 接管与否都不影响 session_meta 记录的 model_provider)。
fn codex_config_text_routes_custom(config_text: &str) -> bool {
config_text
.parse::<DocumentMut>()
.ok()
.and_then(|doc| {
doc.get("model_provider")
.and_then(|item| item.as_str())
.map(|id| id.trim() == CC_SWITCH_CODEX_MODEL_PROVIDER_ID)
})
.unwrap_or(false)
}
/// 目录的规范化字符串形式,用作 marker / 备份代际的目录身份。
/// canonicalize 失败(目录尚不存在等)时退回原始路径字符串。
fn canonical_dir_string(dir: &Path) -> String {
fs::canonicalize(dir)
.unwrap_or_else(|_| dir.to_path_buf())
.to_string_lossy()
.to_string()
}
/// 在备份代际根目录写入 meta.json,记录这批备份来自哪个 Codex 目录。
/// 代际目录不存在(本轮没有任何文件被迁移)时跳过。
fn write_backup_generation_meta(backup_root: &Path, codex_dir_key: &str) -> Result<(), AppError> {
if !backup_root.exists() {
return Ok(());
}
let payload = serde_json::json!({ "codexConfigDir": codex_dir_key });
let bytes =
serde_json::to_vec_pretty(&payload).map_err(|e| AppError::JsonSerialize { source: e })?;
atomic_write(&backup_root.join("meta.json"), &bytes)
}
#[derive(Debug, Clone, Default)]
pub struct CodexOfficialHistoryRestoreOutcome {
pub restored_jsonl_files: usize,
pub restored_state_rows: usize,
pub skipped_reason: Option<String>,
}
/// 统一会话开关迁移备份的父目录(其下每次迁移一个时间戳代际目录)。
fn official_history_unify_backup_parent() -> PathBuf {
get_app_config_dir()
.join("backups")
.join(OFFICIAL_UNIFY_MIGRATION_NAME)
}
/// 是否存在可用于还原的迁移备份(给前端决定要不要显示"恢复备份"勾选)。
/// 与 restore 的账本收集共用同一目录匹配口径:只认属于当前 Codex 目录的
/// 代际,避免切换 codex_config_dir 后弹出注定空跑的勾选。
/// 精确账本内容仍在真正还原时才解析。
pub fn has_codex_official_history_unify_backup() -> bool {
has_official_history_unify_backup_for_dir(
&official_history_unify_backup_parent(),
&canonical_dir_string(&get_codex_config_dir()),
)
}
fn has_official_history_unify_backup_for_dir(ledger_parent: &Path, codex_dir_key: &str) -> bool {
let Ok(entries) = fs::read_dir(ledger_parent) else {
return false;
};
entries.flatten().any(|entry| {
let generation = entry.path();
generation.is_dir() && backup_generation_matches_dir(&generation, codex_dir_key)
})
}
/// 关闭统一会话开关时的可选还原:按迁移备份账本,把当时迁入共享 custom 桶的
/// 官方会话精确翻回 "openai" 桶。
///
/// 备份是唯一可信的归属证据:备份里 model_provider=="openai" 的会话必定源自
/// 官方桶。开启期间新产生的会话不在任何备份里,**永不触碰**——它们可能来自
/// 第三方,方向无法判定(产品决策:宁可留在第三方历史)。
/// 扫描全部备份代际取并集,多次开关循环后仍能还原早期迁入的会话;
/// 还原前改动目标先备份到独立的 restore 目录(保持迁移账本目录纯净),
/// 且只改写当前仍为 custom 的目标,重复执行无害。
pub fn restore_codex_official_history_from_backups(
) -> Result<CodexOfficialHistoryRestoreOutcome, AppError> {
let _op_guard = lock_codex_official_history_op();
// 开关已(重新)开启时拒绝还原:live 正路由 custom,把账本会话翻回
// openai 桶等于亲手制造分裂。覆盖"关闭保存成功后用户立刻重新开启,
// 还原排在重开迁移之后才拿到 op lock"的时序。
if crate::settings::unify_codex_session_history() {
return Ok(CodexOfficialHistoryRestoreOutcome {
skipped_reason: Some("unify_toggle_on".to_string()),
..Default::default()
});
}
let config_text = read_codex_config_text().unwrap_or_default();
restore_codex_official_history_inner(
&get_codex_config_dir(),
&official_history_unify_backup_parent(),
&migration_backup_root(OFFICIAL_UNIFY_RESTORE_BACKUP_NAME),
&config_text,
)
}
fn restore_codex_official_history_inner(
codex_dir: &Path,
ledger_parent: &Path,
restore_backup_root: &Path,
config_text: &str,
) -> Result<CodexOfficialHistoryRestoreOutcome, AppError> {
let codex_dir_key = canonical_dir_string(codex_dir);
let (official_session_ids, official_thread_ids) =
collect_official_ledger(ledger_parent, &codex_dir_key)?;
if official_session_ids.is_empty() && official_thread_ids.is_empty() {
return Ok(CodexOfficialHistoryRestoreOutcome {
skipped_reason: Some("no_backup_ledger".to_string()),
..Default::default()
});
}
let mut files = Vec::new();
collect_jsonl_files(&codex_dir.join("sessions"), &mut files, 0, 8);
collect_jsonl_files(&codex_dir.join("archived_sessions"), &mut files, 0, 4);
let mut restored_jsonl_files = 0;
for file_path in files {
if rewrite_codex_session_file_lines(&file_path, codex_dir, restore_backup_root, |line| {
rewrite_codex_session_meta_line_for_restore(line, &official_session_ids)
})? {
restored_jsonl_files += 1;
}
}
let mut restored_state_rows = 0;
for db_path in codex_state_db_paths(codex_dir, config_text) {
restored_state_rows += restore_codex_state_db_official_threads(
&db_path,
codex_dir,
&official_thread_ids,
restore_backup_root,
)?;
}
if restored_jsonl_files == 0 && restored_state_rows == 0 {
// 账本非空但没有任何"当前仍为 custom"的目标(如重复还原):
// 以 reason 告知前端,避免误报"已还原 0 项"为成功。
return Ok(CodexOfficialHistoryRestoreOutcome {
skipped_reason: Some("nothing_to_restore".to_string()),
..Default::default()
});
}
Ok(CodexOfficialHistoryRestoreOutcome {
restored_jsonl_files,
restored_state_rows,
skipped_reason: None,
})
}
/// 从备份代际收集官方会话账本:jsonl 备份里 session_meta 为 "openai" 的
/// 会话 id + state DB 备份里 model_provider 为 "openai" 的 thread id。
/// 只采纳 meta.json 目录与当前 Codex 目录一致的代际,避免切换
/// codex_config_dir 后拿旧目录的账本作用到新目录。
/// 还原操作自身的备份(restore 目录)天然不会混入:那些副本里的 id 都是
/// custom,解析后贡献为空。
fn collect_official_ledger(
ledger_parent: &Path,
codex_dir_key: &str,
) -> Result<(HashSet<String>, BTreeSet<String>), AppError> {
let mut session_ids = HashSet::new();
let mut thread_ids = BTreeSet::new();
let entries = match fs::read_dir(ledger_parent) {
Ok(entries) => entries,
Err(_) => return Ok((session_ids, thread_ids)),
};
for entry in entries.flatten() {
let generation = entry.path();
if !generation.is_dir() {
continue;
}
if !backup_generation_matches_dir(&generation, codex_dir_key) {
continue;
}
let mut backup_files = Vec::new();
collect_jsonl_files(&generation.join("jsonl"), &mut backup_files, 0, 10);
for backup_file in backup_files {
collect_official_session_ids_from_backup(&backup_file, &mut session_ids);
}
let mut backup_dbs = Vec::new();
collect_files_with_extension(&generation.join("state"), "sqlite", &mut backup_dbs, 0, 4);
for backup_db in backup_dbs {
collect_official_thread_ids_from_backup(&backup_db, &mut thread_ids);
}
}
Ok((session_ids, thread_ids))
}
/// 备份代际是否属于指定 Codex 目录。无 meta.json 或解析失败时宽容接受:
/// 早期版本的备份没有 meta,而那个时期不存在切目录场景;误纳的代价也被
/// "按会话 id 精确匹配 + 仅改写 custom"双重条件兜底。
fn backup_generation_matches_dir(generation: &Path, codex_dir_key: &str) -> bool {
let Ok(text) = fs::read_to_string(generation.join("meta.json")) else {
return true;
};
serde_json::from_str::<Value>(&text)
.ok()
.and_then(|value| {
value
.get("codexConfigDir")
.and_then(Value::as_str)
.map(|dir| dir == codex_dir_key)
})
.unwrap_or(true)
}
fn collect_official_session_ids_from_backup(path: &Path, session_ids: &mut HashSet<String>) {
let Ok(content) = fs::read_to_string(path) else {
log::debug!("Failed to read unify backup file {}", path.display());
return;
};
for line in content.lines() {
if !line.contains("\"session_meta\"") || !line.contains("\"model_provider\"") {
continue;
}
let Ok(value) = serde_json::from_str::<Value>(line) else {
continue;
};
if value.get("type").and_then(Value::as_str) != Some("session_meta") {
continue;
}
let Some(payload) = value.get("payload") else {
continue;
};
if payload.get("model_provider").and_then(Value::as_str)
!= Some(OFFICIAL_OPENAI_CODEX_MODEL_PROVIDER_ID)
{
continue;
}
if let Some(session_id) = payload.get("id").and_then(Value::as_str) {
session_ids.insert(session_id.to_string());
}
}
}
fn collect_official_thread_ids_from_backup(db_path: &Path, thread_ids: &mut BTreeSet<String>) {
let conn =
match Connection::open_with_flags(db_path, rusqlite::OpenFlags::SQLITE_OPEN_READ_ONLY) {
Ok(conn) => conn,
Err(err) => {
log::debug!(
"Failed to open unify backup state DB {}: {err}",
db_path.display()
);
return;
}
};
let has_threads = Database::table_exists(&conn, "threads").unwrap_or(false)
&& Database::has_column(&conn, "threads", "model_provider").unwrap_or(false);
if !has_threads {
return;
}
let Ok(mut stmt) = conn.prepare("SELECT id FROM threads WHERE model_provider = ?1") else {
return;
};
let Ok(rows) = stmt.query_map([OFFICIAL_OPENAI_CODEX_MODEL_PROVIDER_ID], |row| {
row.get::<_, String>(0)
}) else {
return;
};
for thread_id in rows.flatten() {
thread_ids.insert(thread_id);
}
}
fn collect_files_with_extension(
dir: &Path,
extension: &str,
files: &mut Vec<PathBuf>,
depth: u8,
max_depth: u8,
) {
if depth > max_depth || !dir.is_dir() {
return;
}
let Ok(entries) = fs::read_dir(dir) else {
return;
};
for entry in entries.flatten() {
let path = entry.path();
if path.is_dir() {
collect_files_with_extension(&path, extension, files, depth + 1, max_depth);
} else if path.extension().and_then(|ext| ext.to_str()) == Some(extension) {
files.push(path);
}
}
}
fn rewrite_codex_session_meta_line_for_restore(
line: &str,
official_session_ids: &HashSet<String>,
) -> Option<String> {
if !line.contains("\"session_meta\"") || !line.contains("\"model_provider\"") {
return None;
}
let mut value: Value = serde_json::from_str(line).ok()?;
if value.get("type").and_then(Value::as_str) != Some("session_meta") {
return None;
}
let payload = value.get_mut("payload")?.as_object_mut()?;
if payload.get("model_provider")?.as_str()? != CC_SWITCH_CODEX_MODEL_PROVIDER_ID {
return None;
}
let session_id = payload.get("id")?.as_str()?;
if !official_session_ids.contains(session_id) {
return None;
}
payload.insert(
"model_provider".to_string(),
Value::String(OFFICIAL_OPENAI_CODEX_MODEL_PROVIDER_ID.to_string()),
);
serde_json::to_string(&value).ok()
}
fn restore_codex_state_db_official_threads(
db_path: &Path,
codex_dir: &Path,
official_thread_ids: &BTreeSet<String>,
backup_root: &Path,
) -> Result<usize, AppError> {
if !db_path.exists() || official_thread_ids.is_empty() {
return Ok(0);
}
let mut conn = Connection::open(db_path)
.map_err(|e| AppError::Database(format!("打开 Codex state DB 失败: {e}")))?;
conn.busy_timeout(Duration::from_secs(5))
.map_err(|e| AppError::Database(format!("设置 Codex state DB busy_timeout 失败: {e}")))?;
if !Database::table_exists(&conn, "threads")?
|| !Database::has_column(&conn, "threads", "model_provider")?
{
return Ok(0);
}
let ids: Vec<&String> = official_thread_ids.iter().collect();
let mut matching_rows: i64 = 0;
for chunk in ids.chunks(STATE_DB_ID_CHUNK) {
let placeholders = placeholders(chunk.len());
let count_sql = format!(
"SELECT COUNT(*) FROM threads WHERE model_provider = ? AND id IN ({placeholders})"
);
let mut values = Vec::with_capacity(chunk.len() + 1);
values.push(CC_SWITCH_CODEX_MODEL_PROVIDER_ID.to_string());
values.extend(chunk.iter().map(|id| (*id).clone()));
let count: i64 = conn
.query_row(&count_sql, params_from_iter(values.iter()), |row| {
row.get(0)
})
.map_err(|e| AppError::Database(format!("统计 Codex state DB 待还原行失败: {e}")))?;
matching_rows += count;
}
if matching_rows == 0 {
return Ok(0);
}
backup_codex_state_db(db_path, codex_dir, backup_root, &conn)?;
let tx = conn
.transaction()
.map_err(|e| AppError::Database(format!("开启 Codex state DB 还原事务失败: {e}")))?;
let mut changed = 0;
for chunk in ids.chunks(STATE_DB_ID_CHUNK) {
let placeholders = placeholders(chunk.len());
let update_sql = format!(
"UPDATE threads SET model_provider = ? WHERE model_provider = ? AND id IN ({placeholders})"
);
let mut values = Vec::with_capacity(chunk.len() + 2);
values.push(OFFICIAL_OPENAI_CODEX_MODEL_PROVIDER_ID.to_string());
values.push(CC_SWITCH_CODEX_MODEL_PROVIDER_ID.to_string());
values.extend(chunk.iter().map(|id| (*id).clone()));
changed += tx
.execute(&update_sql, params_from_iter(values.iter()))
.map_err(|e| AppError::Database(format!("还原 Codex state DB provider 失败: {e}")))?;
}
tx.commit()
.map_err(|e| AppError::Database(format!("提交 Codex state DB 还原事务失败: {e}")))?;
Ok(changed)
}
fn migrate_codex_provider_templates_to_custom( fn migrate_codex_provider_templates_to_custom(
db: &Database, db: &Database,
backup_root: &Path, backup_root: &Path,
@@ -257,10 +745,10 @@ fn insert_known_cc_switch_legacy_source_id(ids: &mut BTreeSet<String>, provider_
} }
} }
fn migration_backup_root() -> PathBuf { fn migration_backup_root(migration_name: &str) -> PathBuf {
get_app_config_dir() get_app_config_dir()
.join("backups") .join("backups")
.join(MIGRATION_NAME) .join(migration_name)
.join(Local::now().format("%Y%m%d_%H%M%S").to_string()) .join(Local::now().format("%Y%m%d_%H%M%S").to_string())
} }
@@ -524,6 +1012,17 @@ fn rewrite_codex_session_file_for_provider_bucket(
codex_dir: &Path, codex_dir: &Path,
source_provider_ids: &HashSet<String>, source_provider_ids: &HashSet<String>,
backup_root: &Path, backup_root: &Path,
) -> Result<bool, AppError> {
rewrite_codex_session_file_lines(path, codex_dir, backup_root, |line| {
rewrite_codex_session_meta_line(line, source_provider_ids)
})
}
fn rewrite_codex_session_file_lines(
path: &Path,
codex_dir: &Path,
backup_root: &Path,
rewrite_line: impl Fn(&str) -> Option<String>,
) -> Result<bool, AppError> { ) -> Result<bool, AppError> {
let metadata_before = fs::metadata(path).map_err(|e| AppError::io(path, e))?; let metadata_before = fs::metadata(path).map_err(|e| AppError::io(path, e))?;
let modified_before = metadata_before.modified().ok(); let modified_before = metadata_before.modified().ok();
@@ -537,7 +1036,7 @@ fn rewrite_codex_session_file_for_provider_bucket(
.strip_suffix('\n') .strip_suffix('\n')
.map(|line| (line, "\n")) .map(|line| (line, "\n"))
.unwrap_or((segment, "")); .unwrap_or((segment, ""));
if let Some(next_line) = rewrite_codex_session_meta_line(line, source_provider_ids) { if let Some(next_line) = rewrite_line(line) {
rewritten.push_str(&next_line); rewritten.push_str(&next_line);
changed = true; changed = true;
} else { } else {
@@ -820,6 +1319,39 @@ mod tests {
values.iter().map(|value| value.to_string()).collect() values.iter().map(|value| value.to_string()).collect()
} }
#[test]
fn detects_custom_routed_codex_config_for_unify_gate() {
// 注入产物(官方 + 统一开关)
assert!(codex_config_text_routes_custom(
r#"model_provider = "custom"
[model_providers.custom]
name = "OpenAI"
requires_openai_auth = true
supports_websockets = true
wire_api = "responses"
"#
));
// 第三方供应商的常规 custom 路由(带 base_url)同样算已统一
assert!(codex_config_text_routes_custom(
r#"model_provider = "custom"
[model_providers.custom]
name = "AIHubMix"
base_url = "https://aihubmix.example/v1"
"#
));
// 注入被拒的形态:显式 openai 路由 / 无 model_provider(接管期间、空配置)
assert!(!codex_config_text_routes_custom(
"model_provider = \"openai\"\n"
));
assert!(!codex_config_text_routes_custom(
"base_url = \"http://127.0.0.1:15721/codex\"\n"
));
assert!(!codex_config_text_routes_custom(""));
assert!(!codex_config_text_routes_custom("not toml ["));
}
fn migrate_provider_templates_for_test( fn migrate_provider_templates_for_test(
db: &Database, db: &Database,
) -> ( ) -> (
@@ -1092,6 +1624,333 @@ base_url = "https://proxy.example/v1"
); );
} }
#[test]
fn simulates_official_history_unify_migration_end_to_end() {
let dir = tempdir().expect("tempdir");
let codex_dir = dir.path().join(".codex");
let backup_root = dir.path().join("backup");
fs::create_dir_all(&codex_dir).expect("create codex dir");
let source_provider_ids = source_ids(&[OFFICIAL_OPENAI_CODEX_MODEL_PROVIDER_ID]);
let session_dir = codex_dir.join("sessions/2026/06/12");
fs::create_dir_all(&session_dir).expect("create session dir");
let session_path = session_dir.join("official-sim.jsonl");
fs::write(
&session_path,
concat!(
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s1\",\"model_provider\":\"openai\"}}\n",
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s2\",\"model_provider\":\"custom\"}}\n",
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s3\",\"model_provider\":\"my-private-relay\"}}\n",
"{\"type\":\"response_item\",\"payload\":{\"text\":\"openai\"}}\n",
),
)
.expect("write session");
let migrated_jsonl =
migrate_codex_jsonl_files(&codex_dir, &source_provider_ids, &backup_root)
.expect("migrate jsonl");
assert_eq!(migrated_jsonl, 1);
let session_text = fs::read_to_string(&session_path).expect("read session");
assert_eq!(
session_text
.matches("\"model_provider\":\"custom\"")
.count(),
2
);
assert!(!session_text.contains("\"model_provider\":\"openai\""));
assert!(session_text.contains("\"model_provider\":\"my-private-relay\""));
assert!(
session_text.contains("{\"type\":\"response_item\",\"payload\":{\"text\":\"openai\"}}")
);
assert!(backup_root
.join("jsonl/sessions/2026/06/12/official-sim.jsonl")
.exists());
// 第二次执行应当无事可做(幂等)
let rerun = migrate_codex_jsonl_files(&codex_dir, &source_provider_ids, &backup_root)
.expect("rerun migrate jsonl");
assert_eq!(rerun, 0);
let state_db_path = codex_dir.join(CODEX_STATE_DB_FILENAME);
let conn = Connection::open(&state_db_path).expect("open state db");
conn.execute_batch(
"CREATE TABLE threads (
id TEXT PRIMARY KEY,
model_provider TEXT NOT NULL
);
INSERT INTO threads (id, model_provider) VALUES
('openai-thread', 'openai'),
('custom-thread', 'custom'),
('manual-thread', 'my-private-relay');",
)
.expect("seed state db");
drop(conn);
let migrated_state_rows = migrate_codex_state_db_provider_bucket(
&state_db_path,
&codex_dir,
&source_provider_ids,
&backup_root,
)
.expect("migrate state db");
assert_eq!(migrated_state_rows, 1);
let conn = Connection::open(&state_db_path).expect("reopen state db");
let count_provider = |provider_id: &str| -> i64 {
conn.query_row(
"SELECT COUNT(*) FROM threads WHERE model_provider = ?1",
[provider_id],
|row| row.get(0),
)
.expect("count provider")
};
assert_eq!(count_provider("custom"), 2);
assert_eq!(count_provider("openai"), 0);
assert_eq!(count_provider("my-private-relay"), 1);
}
#[test]
fn restores_only_ledgered_official_sessions_from_backups() {
let dir = tempdir().expect("tempdir");
let codex_dir = dir.path().join(".codex");
let ledger_parent = dir.path().join("ledger");
let restore_backup_root = dir.path().join("restore-backup");
// 备份账本:一个代际,jsonl 备份里 s1 是 openaistate 备份里 t1 是 openai
let generation = ledger_parent.join("20260612_010101");
let backup_session_dir = generation.join("jsonl/sessions/2026/06/01");
fs::create_dir_all(&backup_session_dir).expect("create backup session dir");
fs::write(
backup_session_dir.join("official.jsonl"),
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s1\",\"model_provider\":\"openai\"}}\n",
)
.expect("write backup session");
let backup_state_dir = generation.join("state");
fs::create_dir_all(&backup_state_dir).expect("create backup state dir");
let backup_db = Connection::open(backup_state_dir.join(CODEX_STATE_DB_FILENAME))
.expect("open backup db");
backup_db
.execute_batch(
"CREATE TABLE threads (id TEXT PRIMARY KEY, model_provider TEXT NOT NULL);
INSERT INTO threads (id, model_provider) VALUES ('t1', 'openai');",
)
.expect("seed backup db");
drop(backup_db);
// 当前数据:s1(账本内,custom)应还原;s2(开启期间新会话,不在账本)
// 与 s3(手工 relay)必须原样保留
let session_dir = codex_dir.join("sessions/2026/06/01");
fs::create_dir_all(&session_dir).expect("create session dir");
let official_path = session_dir.join("official.jsonl");
fs::write(
&official_path,
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s1\",\"model_provider\":\"custom\"}}\n",
)
.expect("write official session");
let on_period_dir = codex_dir.join("sessions/2026/06/12");
fs::create_dir_all(&on_period_dir).expect("create on-period dir");
let on_period_path = on_period_dir.join("on-period.jsonl");
fs::write(
&on_period_path,
concat!(
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s2\",\"model_provider\":\"custom\"}}\n",
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s3\",\"model_provider\":\"my-private-relay\"}}\n",
),
)
.expect("write on-period session");
let state_db_path = codex_dir.join(CODEX_STATE_DB_FILENAME);
let conn = Connection::open(&state_db_path).expect("open state db");
conn.execute_batch(
"CREATE TABLE threads (id TEXT PRIMARY KEY, model_provider TEXT NOT NULL);
INSERT INTO threads (id, model_provider) VALUES
('t1', 'custom'),
('t2', 'custom'),
('t3', 'openai');",
)
.expect("seed state db");
drop(conn);
// 代际 meta 指向当前 Codex 目录:精确匹配分支生效(而非无 meta 的宽容分支)
fs::write(
generation.join("meta.json"),
serde_json::to_vec_pretty(&serde_json::json!({
"codexConfigDir": canonical_dir_string(&codex_dir)
}))
.expect("serialize meta"),
)
.expect("write meta");
let outcome = restore_codex_official_history_inner(
&codex_dir,
&ledger_parent,
&restore_backup_root,
"",
)
.expect("restore");
assert_eq!(outcome.restored_jsonl_files, 1);
assert_eq!(outcome.restored_state_rows, 1);
assert!(outcome.skipped_reason.is_none());
let official_text = fs::read_to_string(&official_path).expect("read official");
assert!(official_text.contains("\"model_provider\":\"openai\""));
let on_period_text = fs::read_to_string(&on_period_path).expect("read on-period");
assert!(on_period_text.contains("\"id\":\"s2\",\"model_provider\":\"custom\""));
assert!(on_period_text.contains("\"model_provider\":\"my-private-relay\""));
let conn = Connection::open(&state_db_path).expect("reopen state db");
let provider_of = |thread_id: &str| -> String {
conn.query_row(
"SELECT model_provider FROM threads WHERE id = ?1",
[thread_id],
|row| row.get(0),
)
.expect("thread provider")
};
assert_eq!(provider_of("t1"), "openai");
assert_eq!(provider_of("t2"), "custom");
assert_eq!(provider_of("t3"), "openai");
drop(conn);
// 还原前的现场已备份到独立目录
assert!(restore_backup_root
.join("jsonl/sessions/2026/06/01/official.jsonl")
.exists());
assert!(restore_backup_root
.join("state")
.join(CODEX_STATE_DB_FILENAME)
.exists());
// 幂等:第二次还原无事可做
let rerun = restore_codex_official_history_inner(
&codex_dir,
&ledger_parent,
&dir.path().join("restore-backup-2"),
"",
)
.expect("rerun restore");
assert_eq!(rerun.restored_jsonl_files, 0);
assert_eq!(rerun.restored_state_rows, 0);
assert_eq!(rerun.skipped_reason.as_deref(), Some("nothing_to_restore"));
}
#[test]
fn restore_ignores_backup_generations_from_other_codex_dirs() {
let dir = tempdir().expect("tempdir");
let codex_dir = dir.path().join(".codex");
let ledger_parent = dir.path().join("ledger");
// 账本代际属于另一个 Codex 目录
let generation = ledger_parent.join("20260612_010101");
let backup_session_dir = generation.join("jsonl/sessions/2026/06/01");
fs::create_dir_all(&backup_session_dir).expect("create backup session dir");
fs::write(
backup_session_dir.join("official.jsonl"),
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s1\",\"model_provider\":\"openai\"}}\n",
)
.expect("write backup session");
fs::write(
generation.join("meta.json"),
"{\n \"codexConfigDir\": \"/some/other/codex-dir\"\n}",
)
.expect("write meta");
let session_dir = codex_dir.join("sessions/2026/06/01");
fs::create_dir_all(&session_dir).expect("create session dir");
let session_path = session_dir.join("official.jsonl");
fs::write(
&session_path,
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s1\",\"model_provider\":\"custom\"}}\n",
)
.expect("write session");
let outcome = restore_codex_official_history_inner(
&codex_dir,
&ledger_parent,
&dir.path().join("restore-backup"),
"",
)
.expect("restore");
assert_eq!(outcome.skipped_reason.as_deref(), Some("no_backup_ledger"));
let text = fs::read_to_string(&session_path).expect("read session");
assert!(text.contains("\"model_provider\":\"custom\""));
}
#[test]
fn backup_probe_only_counts_generations_for_current_dir() {
let dir = tempdir().expect("tempdir");
let ledger_parent = dir.path().join("ledger");
let codex_dir_key = "/current/codex-dir";
// 空父目录 / 父目录不存在:无备份
assert!(!has_official_history_unify_backup_for_dir(
&ledger_parent,
codex_dir_key
));
// 只有其他目录的代际:不算有备份
let other = ledger_parent.join("20260612_010101");
fs::create_dir_all(&other).expect("create generation");
fs::write(
other.join("meta.json"),
"{\n \"codexConfigDir\": \"/some/other/codex-dir\"\n}",
)
.expect("write meta");
assert!(!has_official_history_unify_backup_for_dir(
&ledger_parent,
codex_dir_key
));
// 无 meta 的早期代际:宽容接受(与 restore 的账本口径一致)
fs::create_dir_all(ledger_parent.join("20260612_020202")).expect("create legacy gen");
assert!(has_official_history_unify_backup_for_dir(
&ledger_parent,
codex_dir_key
));
// 精确匹配当前目录的代际
fs::remove_dir_all(ledger_parent.join("20260612_020202")).expect("remove legacy gen");
let matched = ledger_parent.join("20260612_030303");
fs::create_dir_all(&matched).expect("create matched gen");
fs::write(
matched.join("meta.json"),
format!("{{\n \"codexConfigDir\": \"{codex_dir_key}\"\n}}"),
)
.expect("write matched meta");
assert!(has_official_history_unify_backup_for_dir(
&ledger_parent,
codex_dir_key
));
}
#[test]
fn restore_skips_when_no_backup_ledger_exists() {
let dir = tempdir().expect("tempdir");
let codex_dir = dir.path().join(".codex");
let session_dir = codex_dir.join("sessions/2026/06/01");
fs::create_dir_all(&session_dir).expect("create session dir");
fs::write(
session_dir.join("session.jsonl"),
"{\"type\":\"session_meta\",\"payload\":{\"id\":\"s1\",\"model_provider\":\"custom\"}}\n",
)
.expect("write session");
let outcome = restore_codex_official_history_inner(
&codex_dir,
&dir.path().join("missing-ledger"),
&dir.path().join("restore-backup"),
"",
)
.expect("restore");
assert_eq!(outcome.skipped_reason.as_deref(), Some("no_backup_ledger"));
assert_eq!(outcome.restored_jsonl_files, 0);
assert_eq!(outcome.restored_state_rows, 0);
let text = fs::read_to_string(session_dir.join("session.jsonl")).expect("read session");
assert!(text.contains("\"model_provider\":\"custom\""));
}
#[test] #[test]
fn rewrites_only_codex_session_meta_provider_ids() { fn rewrites_only_codex_session_meta_provider_ids() {
let dir = tempdir().expect("tempdir"); let dir = tempdir().expect("tempdir");
+389 -70
View File
@@ -1985,10 +1985,19 @@ fn anchored_official_update_command(tool: &str, bin_path: &str) -> Option<String
official_update_args(tool).map(|args| format!("{} {args}", win_quote_path_for_batch(bin_path))) official_update_args(tool).map(|args| format!("{} {args}", win_quote_path_for_batch(bin_path)))
} }
/// 哪些工具的"官方 self-update"优先于包管理器升级(生成 `<tool> update || <pkg-mgr>`)。
///
/// **codex 刻意不在此列**`codex update` 在 npm 安装上只是裸 `npm install -g
/// @openai/codex`(无 `@latest` / `--include=optional` / 不先卸载),却只检查 exit code、
/// 无条件打印 “Update ran successfully”。当 npm 把平台二进制 optional 依赖
/// `@openai/codex-<triple>` 漏装时它仍 **exit 0 假成功**,使外层 `||` 兜底被短路、损坏被
/// 成功 toast 掩盖(用户报告的 “Missing optional dependency” 即源于此)。因此 codex 一律走
/// npm 锚定升级;真正损坏(`runnable=false`)时由 `installs_anchored_command` 的门控改用
/// `codex_repair_command` 的 uninstall+install 自愈,而非交给 codex 自身的 self-update。
fn prefers_official_update(tool: &str, shell: LifecycleCommandShell) -> bool { fn prefers_official_update(tool: &str, shell: LifecycleCommandShell) -> bool {
match shell { match shell {
LifecycleCommandShell::Posix => { LifecycleCommandShell::Posix => {
matches!(tool, "claude" | "codex" | "opencode" | "openclaw") matches!(tool, "claude" | "opencode" | "openclaw")
} }
LifecycleCommandShell::WindowsBatch => { LifecycleCommandShell::WindowsBatch => {
matches!( matches!(
@@ -1997,12 +2006,66 @@ fn prefers_official_update(tool: &str, shell: LifecycleCommandShell) -> bool {
// 安装方式探测失败弹交互 promptspawn npm.cmd 没传 shell:true);静默 // 安装方式探测失败弹交互 promptspawn npm.cmd 没传 shell:true);静默
// lifecycle 没有 stdin 会挂死,Windows 先锚到包管理器路径,等上游修了 // lifecycle 没有 stdin 会挂死,Windows 先锚到包管理器路径,等上游修了
// 再把 opencode 加回这里。 // 再把 opencode 加回这里。
"claude" | "codex" | "openclaw" "claude" | "openclaw"
) )
} }
} }
} }
/// Codex 平台分发包损坏的自愈命令。Codex 的 npm 包是「主包 `@openai/codex`(纯 JS
/// launcher+ 平台二进制 optional 依赖 `@openai/codex-<triple>`」的分发模式(同 esbuild/swc)。
/// 当平台二进制缺失时 codex 跑不起来——`enumerate_tool_installations` 跑 `--version` 会拿到
/// “Missing optional dependency” 的非 0 退出,标记 `runnable=false`。此状态下普通
/// `npm i -g @pkg@latest` 是 **no-op**npm 视 optional 依赖缺失为非致命,reify 又认为主包已是
/// 最新(外加半损坏留下的空 nested `node_modules` 残骸强化「tree 已满足」判断),不会补回平台
/// 二进制。唯一实测可靠的修复是先 `uninstall` 清掉残骸、再 `install` 装回完整的主包 + 平台二进制
/// (实测输出 `added 2 packages`)。
///
/// 锚定到与 codex 入口同目录的 npm(与升级路径一致,不依赖 GUI 非登录进程的 PATH)。`|| true`
/// 让 uninstall 失败(如 nvm 上对半损坏包静默返回非 0)不触发外层 `set -e` 中止,但随后的
/// install 若失败仍会被 `set -e` 捕获并上报给前端 toast。
///
/// **仅对会锚定到 sibling npm 的 node 管理器来源(nvm/fnm/mise/homebrew npm)生效**
/// `runnable=false` 是宽信号(权限 / node 版本 / 任意 `--version` 失败皆可触发),非 npm
/// 全局安装各有自己的二进制分发与修复方式,无脑套 npm uninstall+install 会出错——Homebrew
/// formulareal 在 `Cellar/`)本应 `brew upgrade codex`npm 够不到它反而旁路装第二份 npm
/// 全局 codexVolta/Bun 本应 `volta install`/`bun add`,且 `~/.bun/bin` 下没有 npm、
/// `sibling_bin` 会拼出不存在的路径;system/未知来源无可靠 sibling npm。这些来源一律返回
/// None,让上游继续走 source-specific 的 `anchored_command_from_paths`。白名单与
/// `package_manager_anchored_command_from_paths` 的 sibling-npm 分支对齐。
/// 刻意**不**额外用 `inst.error` 文本确认「确系缺二进制」:enumerate 只保留 stderr 末尾 4 行,
/// 而 codex.js 抛错的 "Missing optional dependency" 行会被尾部 node stack `at ...` 行挤出窗口
/// (实测用户原始错误即如此),强加该条件反而漏修真实缺包;对 npm 全局安装,uninstall+install
/// 对各类损坏都是合理且不会更糟的修复。
#[cfg(not(target_os = "windows"))]
fn codex_repair_command(bin_path: &str, real: &str) -> Option<String> {
// brew formulareal 在 Cellar)→ 不归 npm 管,交回 anchored 走 brew upgrade。
if brew_formula_from_path(real).is_some() {
return None;
}
// 只认会落到 sibling npm 的 node 管理器来源;volta/bun/system/未知交回 anchored。
if !matches!(
infer_install_source(Path::new(bin_path)),
"nvm" | "fnm" | "mise" | "homebrew"
) {
return None;
}
let npm = sibling_bin(bin_path, "npm")?;
let npm = quote_path_if_spaced(&npm);
let pkg = "@openai/codex";
Some(format!(
"{npm} uninstall -g {pkg} || true; {npm} i -g {pkg}@latest"
))
}
/// Windows 暂不做平台分发自愈:Windows 上 codex 的破坏模式不同(EPERM 文件锁 / 版本 bump
/// 残留,见 openai/codex#21872、#19824),且 `.bat` 链的错误处理与 POSIX `set -e` 语义不同,
/// 需要单独设计;先在本问题实际发生的 POSIX 平台落地。返回 None → 上游走正常锚定命令。
#[cfg(target_os = "windows")]
fn codex_repair_command(_bin_path: &str, _real: &str) -> Option<String> {
None
}
#[cfg(not(target_os = "windows"))] #[cfg(not(target_os = "windows"))]
fn package_manager_anchored_command_from_paths( fn package_manager_anchored_command_from_paths(
tool: &str, tool: &str,
@@ -2190,6 +2253,17 @@ fn default_install(installs: &[ToolInstallation]) -> Option<&ToolInstallation> {
fn installs_anchored_command(tool: &str, installs: &[ToolInstallation]) -> Option<String> { fn installs_anchored_command(tool: &str, installs: &[ToolInstallation]) -> Option<String> {
let inst = default_install(installs)?; let inst = default_install(installs)?;
let real = inst.real.to_string_lossy(); let real = inst.real.to_string_lossy();
// Codex 平台分发包损坏自愈:主包在但平台二进制缺失时 codex 跑不起来
// runnable=false),此时正常锚定的 `npm i -g @latest` 是 no-op 修不好——改用
// uninstall+install 重装补回平台二进制。**但仅限会锚定到 sibling npm 的 node 管理器
// 来源**codex_repair_command 内按 source/real 收窄,brew/volta/bun/system 交回下方
// source-specific 锚定,避免误用 npm 重装)。runnable=true 的正常升级也走下方普通锚定
// 路径(且因 codex 不在 prefers_official_update,不会再跑会假成功掩盖损坏的 `codex update`)。
if tool == "codex" && !inst.runnable {
if let Some(cmd) = codex_repair_command(&inst.path, &real) {
return Some(cmd);
}
}
anchored_command_from_paths(tool, &inst.path, &real) anchored_command_from_paths(tool, &inst.path, &real)
} }
@@ -2620,29 +2694,58 @@ exec bash --norc --noprofile
result result
} }
/// macOS: Terminal.app /// Escape a value as an AppleScript string literal.
#[cfg(target_os = "macos")] #[cfg(target_os = "macos")]
fn launch_macos_terminal_app(script_file: &std::path::Path) -> Result<(), String> { fn applescript_string_literal(value: &str) -> String {
use std::process::Command; format!("\"{}\"", value.replace('\\', "\\\\").replace('"', "\\\""))
}
let applescript = format!( /// Build the launcher command literal used by AppleScript.
r#"tell application "Terminal" #[cfg(target_os = "macos")]
activate fn applescript_launcher_command(script_file: &std::path::Path) -> String {
do script "bash '{}'" applescript_string_literal(&format!(
"bash {}",
shell_single_quote(&script_file.to_string_lossy())
))
}
/// macOS: Terminal.app AppleScript.
/// A cold `activate` creates a default empty window before `do script` opens the command session.
/// Use `launch` for cold starts so `do script` can create the only new session without reusing restored windows.
#[cfg(target_os = "macos")]
fn build_macos_terminal_applescript(script_file: &std::path::Path) -> String {
format!(
r#"set launcher_script to {launcher}
set was_running to application "Terminal" is running
tell application "Terminal"
if was_running then
activate
do script launcher_script
else
launch
do script launcher_script
activate
end if
end tell"#, end tell"#,
script_file.display() launcher = applescript_launcher_command(script_file)
); )
}
/// Run AppleScript through `osascript -e` with shared error handling.
#[cfg(target_os = "macos")]
fn run_terminal_osascript(applescript: &str, terminal_label: &str) -> Result<(), String> {
use std::process::Command;
let output = Command::new("osascript") let output = Command::new("osascript")
.arg("-e") .arg("-e")
.arg(&applescript) .arg(applescript)
.output() .output()
.map_err(|e| format!("执行 osascript 失败: {e}"))?; .map_err(|e| format!("执行 osascript 失败: {e}"))?;
if !output.status.success() { if !output.status.success() {
let stderr = decode_command_output(&output.stderr); let stderr = decode_command_output(&output.stderr);
return Err(format!( return Err(format!(
"Terminal.app 执行失败 (exit code: {:?}): {}", "{terminal_label} 执行失败 (exit code: {:?}): {}",
output.status.code(), output.status.code(),
stderr stderr
)); ));
@@ -2651,11 +2754,20 @@ end tell"#,
Ok(()) Ok(())
} }
/// macOS: Terminal.app
#[cfg(target_os = "macos")]
fn launch_macos_terminal_app(script_file: &std::path::Path) -> Result<(), String> {
run_terminal_osascript(
&build_macos_terminal_applescript(script_file),
"Terminal.app",
)
}
/// macOS: iTerm2 /// macOS: iTerm2
#[cfg(target_os = "macos")] #[cfg(target_os = "macos")]
fn build_macos_iterm2_applescript(script_file: &std::path::Path) -> String { fn build_macos_iterm2_applescript(script_file: &std::path::Path) -> String {
format!( format!(
r#"set launcher_script to "bash '{}'" r#"set launcher_script to {launcher}
set was_running to application "iTerm" is running set was_running to application "iTerm" is running
tell application "iTerm" tell application "iTerm"
if was_running then if was_running then
@@ -2683,63 +2795,59 @@ tell application "iTerm"
write text launcher_script write text launcher_script
end tell end tell
end tell"#, end tell"#,
script_file.display() launcher = applescript_launcher_command(script_file)
) )
} }
/// macOS: iTerm2 /// macOS: iTerm2
#[cfg(target_os = "macos")] #[cfg(target_os = "macos")]
fn launch_macos_iterm2(script_file: &std::path::Path) -> Result<(), String> { fn launch_macos_iterm2(script_file: &std::path::Path) -> Result<(), String> {
use std::process::Command; run_terminal_osascript(&build_macos_iterm2_applescript(script_file), "iTerm2")
let applescript = build_macos_iterm2_applescript(script_file);
let output = Command::new("osascript")
.arg("-e")
.arg(&applescript)
.output()
.map_err(|e| format!("执行 osascript 失败: {e}"))?;
if !output.status.success() {
let stderr = decode_command_output(&output.stderr);
return Err(format!(
"iTerm2 执行失败 (exit code: {:?}): {}",
output.status.code(),
stderr
));
}
Ok(())
} }
/// macOS: Ghostty — use --quit-after-last-window-closed to avoid cloning existing tabs /// Keep the launcher path inside a `bash -c` string.
/// A bare `.sh` passed through `open --args` may also be opened as a document.
#[cfg(target_os = "macos")]
fn build_macos_dash_c_command(script_file: &std::path::Path) -> String {
format!(
"exec bash {}",
shell_single_quote(&script_file.to_string_lossy())
)
}
/// macOS: Ghostty.
/// Warm starts use AppleScript to create one command window.
/// Cold starts use `initial-command` so the first default surface runs the launcher.
/// Do not use `initial-window=false` plus `new window`: cold launch can still create the default window first.
#[cfg(target_os = "macos")]
fn build_macos_ghostty_applescript(script_file: &std::path::Path) -> String {
format!(
r#"set launcher_command to {launcher}
set was_running to application "Ghostty" is running
if was_running then
tell application "Ghostty"
new window with configuration {{command:launcher_command}}
end tell
else
do shell script "open -na Ghostty --args --quit-after-last-window-closed=true " & quoted form of ("--initial-command=" & launcher_command)
end if
"#,
launcher = applescript_launcher_command(script_file)
)
}
/// macOS: Ghostty
#[cfg(target_os = "macos")] #[cfg(target_os = "macos")]
fn launch_macos_ghostty(script_file: &std::path::Path) -> Result<(), String> { fn launch_macos_ghostty(script_file: &std::path::Path) -> Result<(), String> {
use std::process::Command; match run_terminal_osascript(&build_macos_ghostty_applescript(script_file), "Ghostty") {
Ok(()) => Ok(()),
let output = Command::new("open") Err(applescript_error) => {
.args([ log::warn!(
"-na", "Ghostty AppleScript launch failed, falling back to open -na: {applescript_error}"
"Ghostty", );
"--args", launch_macos_open_app("Ghostty", script_file, true)
"--quit-after-last-window-closed=true", }
"-e",
"bash",
])
.arg(script_file)
.output()
.map_err(|e| format!("启动 Ghostty 失败: {e}"))?;
if !output.status.success() {
let stderr = decode_command_output(&output.stderr);
return Err(format!(
"Ghostty 启动失败 (exit code: {:?}): {}",
output.status.code(),
stderr
));
} }
Ok(())
} }
/// macOS: 使用 open -na 启动支持 --args 参数的终端(Alacritty/Kitty/WezTerm/Kaku /// macOS: 使用 open -na 启动支持 --args 参数的终端(Alacritty/Kitty/WezTerm/Kaku
@@ -2757,7 +2865,10 @@ fn launch_macos_open_app(
if use_e_flag { if use_e_flag {
cmd.arg("-e"); cmd.arg("-e");
} }
cmd.arg("bash").arg(script_file); // Keep the script path inside `bash -c`; a trailing bare `.sh` can be opened as a document.
cmd.arg("bash")
.arg("-c")
.arg(build_macos_dash_c_command(script_file));
let output = cmd let output = cmd
.output() .output()
@@ -4009,8 +4120,9 @@ mod tests {
#[test] #[test]
fn codex_nvm_anchors_to_that_npm() { fn codex_nvm_anchors_to_that_npm() {
// Codex 官方 self-update 只在支持的 release 上生效;失败时仍写回同一个 // Codex 不走 self-update`codex update` 在 npm 安装上只是裸 `npm install -g`
// node 的 npm,而非 PATH 第一个 npm。 // 却会假成功掩盖平台二进制漏装)——直接锚定到同一个 node 的 npm,而非 PATH
// 第一个 npm。损坏时的 uninstall+install 自愈见 codex_missing_platform_binary_*。
let cmd = anchored_command_from_paths( let cmd = anchored_command_from_paths(
"codex", "codex",
"/Users/me/.nvm/versions/node/v22.14.0/bin/codex", "/Users/me/.nvm/versions/node/v22.14.0/bin/codex",
@@ -4018,7 +4130,7 @@ mod tests {
); );
assert_eq!( assert_eq!(
cmd.as_deref(), cmd.as_deref(),
Some("/Users/me/.nvm/versions/node/v22.14.0/bin/codex update || /Users/me/.nvm/versions/node/v22.14.0/bin/npm i -g @openai/codex@latest") Some("/Users/me/.nvm/versions/node/v22.14.0/bin/npm i -g @openai/codex@latest")
); );
} }
@@ -4038,9 +4150,25 @@ mod tests {
} }
#[test] #[test]
fn volta_uses_volta_install() { fn volta_self_update_chain_anchors_to_volta() {
// `~/.volta/bin` 通常不在 GUI 非登录 `bash -c` 的 PATH 里,且用户可能 // `~/.volta/bin` 通常不在 GUI 非登录 `bash -c` 的 PATH 里,且用户可能
// PATH 上还有另一份 volta → 必须绝对路径锚定到命令行命中的这一份。 // PATH 上还有另一份 volta → 必须绝对路径锚定到命令行命中的这一份。
// 用 openclaw(仍在 prefers_official_update)覆盖 volta 分支的 self-update 链;
// codex 已改为不 self-update(见 codex_volta_anchors_to_volta_install)。
let cmd = anchored_command_from_paths(
"openclaw",
"/Users/me/.volta/bin/openclaw",
"/Users/me/.volta/tools/image/packages/openclaw/lib/node_modules/openclaw",
);
assert_eq!(
cmd.as_deref(),
Some("/Users/me/.volta/bin/openclaw update --yes || /Users/me/.volta/bin/volta install openclaw")
);
}
#[test]
fn codex_volta_anchors_to_volta_install() {
// codex 锚定到命令行命中的那份 volta,但不 self-update:纯 `volta install`。
let cmd = anchored_command_from_paths( let cmd = anchored_command_from_paths(
"codex", "codex",
"/Users/me/.volta/bin/codex", "/Users/me/.volta/bin/codex",
@@ -4048,7 +4176,7 @@ mod tests {
); );
assert_eq!( assert_eq!(
cmd.as_deref(), cmd.as_deref(),
Some("/Users/me/.volta/bin/codex update || /Users/me/.volta/bin/volta install @openai/codex") Some("/Users/me/.volta/bin/volta install @openai/codex")
); );
} }
@@ -4076,7 +4204,7 @@ mod tests {
); );
assert_eq!( assert_eq!(
cmd.as_deref(), cmd.as_deref(),
Some("'/Users/my name/.volta/bin/codex' update || '/Users/my name/.volta/bin/volta' install @openai/codex") Some("'/Users/my name/.volta/bin/volta' install @openai/codex")
); );
} }
@@ -4144,7 +4272,7 @@ mod tests {
assert_eq!( assert_eq!(
cmd.as_deref(), cmd.as_deref(),
Some( Some(
"/Users/me/.local/share/fnm_multishells/12345_abc/bin/codex update || /Users/me/.local/share/fnm_multishells/12345_abc/bin/npm i -g @openai/codex@latest" "/Users/me/.local/share/fnm_multishells/12345_abc/bin/npm i -g @openai/codex@latest"
) )
); );
} }
@@ -4158,7 +4286,7 @@ mod tests {
); );
assert_eq!( assert_eq!(
cmd.as_deref(), cmd.as_deref(),
Some("'/Users/my name/.nvm/versions/node/v22/bin/codex' update || '/Users/my name/.nvm/versions/node/v22/bin/npm' i -g @openai/codex@latest") Some("'/Users/my name/.nvm/versions/node/v22/bin/npm' i -g @openai/codex@latest")
); );
} }
@@ -4255,6 +4383,78 @@ mod tests {
assert!(default_install(&installs).is_none()); assert!(default_install(&installs).is_none());
} }
#[test]
fn codex_missing_platform_binary_self_heals_via_uninstall_install() {
// 平台二进制缺失 → `codex --version` 报 "Missing optional dependency" 退出非 0
// → enumerate 标记 runnable=false。此状态下普通 `npm i -g @latest` 是 no-op 修不好,
// 升级路径改用 uninstall+install 重装补回平台二进制(`|| true` 让 uninstall 在
// set -e 下对半损坏包返回非 0 时仍继续 install)。
let mut broken = inst("/Users/me/.nvm/versions/node/v22.14.0/bin/codex", true);
broken.runnable = false;
assert_eq!(
installs_anchored_command("codex", &[broken]).as_deref(),
Some("/Users/me/.nvm/versions/node/v22.14.0/bin/npm uninstall -g @openai/codex || true; /Users/me/.nvm/versions/node/v22.14.0/bin/npm i -g @openai/codex@latest")
);
}
#[test]
fn codex_runnable_uses_plain_npm_not_self_heal() {
// 正常(runnable=true)的 codex 升级:锚定 npm,既不重装、也不跑会假成功
// 掩盖损坏的 `codex update`。
let healthy = inst("/Users/me/.nvm/versions/node/v22.14.0/bin/codex", true);
let cmd = installs_anchored_command("codex", &[healthy]);
assert_eq!(
cmd.as_deref(),
Some("/Users/me/.nvm/versions/node/v22.14.0/bin/npm i -g @openai/codex@latest")
);
assert!(!cmd.unwrap().contains("uninstall"));
}
#[test]
fn codex_broken_homebrew_formula_uses_brew_not_npm_repair() {
// brew formula 装的坏 codexreal 在 Cellar):自愈门控必须收窄放行,回落到
// `brew upgrade codex`——若误走 npm 重装,npm 够不到 Cellar 那份、反而旁路
// 装第二份 npm 全局 codex 制造双安装。
let broken = ToolInstallation {
path: "/opt/homebrew/bin/codex".to_string(),
version: None,
runnable: false,
error: None,
source: "homebrew".to_string(),
is_path_default: true,
real: std::path::PathBuf::from("/opt/homebrew/Cellar/codex/1.2.3/bin/codex"),
};
assert_eq!(
installs_anchored_command("codex", &[broken]).as_deref(),
Some("/opt/homebrew/bin/brew upgrade codex")
);
}
#[test]
fn codex_broken_volta_uses_volta_install_not_npm_repair() {
// volta 装的坏 codex:回落到 `volta install`,不走 npm 重装。
let mut broken = inst("/Users/me/.volta/bin/codex", true);
broken.runnable = false;
assert_eq!(
installs_anchored_command("codex", &[broken]).as_deref(),
Some("/Users/me/.volta/bin/volta install @openai/codex")
);
}
#[test]
fn codex_broken_bun_uses_bun_add_not_phantom_npm() {
// bun 装的坏 codex:回落到 `bun add`,且**绝不**拼出 `~/.bun/bin/npm`
// (bun 目录下没有 npm,那条路径不存在、执行会直接失败)。
let mut broken = inst("/Users/me/.bun/bin/codex", true);
broken.runnable = false;
let cmd = installs_anchored_command("codex", &[broken]);
assert_eq!(
cmd.as_deref(),
Some("/Users/me/.bun/bin/bun add -g @openai/codex@latest")
);
assert!(!cmd.unwrap().contains("npm"));
}
#[test] #[test]
fn first_abs_path_line_skips_shell_noise() { fn first_abs_path_line_skips_shell_noise() {
// 交互式 .zshrc 先打印欢迎语(如 powerlevel10k / 自定义提示), // 交互式 .zshrc 先打印欢迎语(如 powerlevel10k / 自定义提示),
@@ -4382,8 +4582,9 @@ mod tests {
); );
assert_eq!( assert_eq!(
static_fallback_command("codex"), static_fallback_command("codex"),
"codex update || npm i -g @openai/codex@latest" "npm i -g @openai/codex@latest"
); );
assert!(!static_fallback_command("codex").contains("codex update"));
assert_eq!( assert_eq!(
static_fallback_command("gemini"), static_fallback_command("gemini"),
"npm i -g @google/gemini-cli@latest" "npm i -g @google/gemini-cli@latest"
@@ -4693,6 +4894,124 @@ mod tests {
assert!(running_branch.contains("create tab with default profile")); assert!(running_branch.contains("create tab with default profile"));
} }
/// Terminal `activate` creates a default empty window on cold start; `launch` does not.
#[cfg(target_os = "macos")]
#[test]
fn terminal_applescript_cold_start_uses_launch_before_do_script() {
let script = build_macos_terminal_applescript(Path::new("/tmp/cc_switch_launcher.sh"));
assert!(
script.contains(r#"set was_running to application "Terminal" is running"#),
"missing was_running detection:\n{script}"
);
// Cold launches avoid `activate` until after `do script`, so no default empty window is created first.
assert!(
script.contains(
"else\n launch\n do script launcher_script\n activate"
),
"cold start should launch before activating:\n{script}"
);
// Already-running launches should create a fresh session.
assert!(
script.contains(
"if was_running then\n activate\n do script launcher_script\n"
),
"already-running branch should use bare do script:\n{script}"
);
}
/// Restored windows should not receive the launcher command.
#[cfg(target_os = "macos")]
#[test]
fn terminal_applescript_does_not_hijack_restored_windows() {
let script = build_macos_terminal_applescript(Path::new("/tmp/cc_switch_launcher.sh"));
assert!(
!script.contains(" in window 1"),
"should not inject into an existing/restored Terminal window:\n{script}"
);
assert!(
!script.contains("count of windows"),
"should not infer restored-window safety from window count:\n{script}"
);
}
/// Ghostty cold starts use `initial-command`; warm starts use the scripting dictionary.
#[cfg(target_os = "macos")]
#[test]
fn ghostty_applescript_cold_start_uses_initial_command() {
let script = build_macos_ghostty_applescript(Path::new("/tmp/cc_switch_launcher.sh"));
// Warm launches execute through the AppleScript command property, not `open -na ... -e`.
assert!(
script.contains(r#"set launcher_command to "bash '/tmp/cc_switch_launcher.sh'""#),
"missing launcher_command:\n{script}"
);
assert!(script.contains("if was_running then"));
assert!(script.contains("new window with configuration {command:launcher_command}"));
assert!(
!script.contains(" --args -e"),
"should not execute through open -na -e:\n{script}"
);
// Cold launches make Ghostty's first default surface execute the launcher.
assert!(script.contains(r#"set was_running to application "Ghostty" is running"#));
assert!(
script.contains(
r#"do shell script "open -na Ghostty --args --quit-after-last-window-closed=true " & quoted form of ("--initial-command=" & launcher_command)"#
),
"cold start should use initial-command:\n{script}"
);
assert!(
!script.contains("--initial-window=false"),
"should not rely on initial-window=false:\n{script}"
);
assert!(
!script.contains("delay 0.5"),
"should not rely on a fixed delay:\n{script}"
);
assert!(
!script.contains("old_ids"),
"should not track default windows for closing:\n{script}"
);
assert!(
!script.contains("close window"),
"should not close a default window:\n{script}"
);
}
#[cfg(target_os = "macos")]
#[test]
fn dash_c_command_wraps_script_path_inside_quoted_arg() {
// The script path must stay inside the `-c` string, not as a bare argv.
let s = build_macos_dash_c_command(Path::new("/tmp/cc_switch_launcher_1.sh"));
assert_eq!(s, "exec bash '/tmp/cc_switch_launcher_1.sh'");
// Spaces and single quotes must stay shell-safe too.
let s2 = build_macos_dash_c_command(Path::new("/Users/me/it's dir/x.sh"));
assert_eq!(s2, r#"exec bash '/Users/me/it'"'"'s dir/x.sh'"#);
}
/// AppleScript launchers need both shell-path quoting and AppleScript string quoting.
#[cfg(target_os = "macos")]
#[test]
fn applescript_builders_safely_quote_special_paths() {
// First shell-quote the path, then wrap the whole command as an AppleScript string.
let expected = r#""bash '/Users/me/it'\"'\"'s dir/x.sh'""#;
let p = Path::new("/Users/me/it's dir/x.sh");
assert_eq!(applescript_launcher_command(p), expected);
assert!(
build_macos_terminal_applescript(p).contains(expected),
"Terminal did not quote safely"
);
assert!(
build_macos_iterm2_applescript(p).contains(expected),
"iTerm2 did not quote safely"
);
assert!(
build_macos_ghostty_applescript(p).contains(expected),
"Ghostty did not quote safely"
);
}
#[test] #[test]
fn build_windows_cwd_command_str_uses_cd_for_drive_paths() { fn build_windows_cwd_command_str_uses_cd_for_drive_paths() {
let command = build_windows_cwd_command_str(r"C:\work\repo"); let command = build_windows_cwd_command_str(r"C:\work\repo");
+6
View File
@@ -14,12 +14,18 @@ pub async fn fetch_models_for_config(
api_key: String, api_key: String,
is_full_url: Option<bool>, is_full_url: Option<bool>,
models_url: Option<String>, models_url: Option<String>,
custom_user_agent: Option<String>,
) -> Result<Vec<FetchedModel>, String> { ) -> Result<Vec<FetchedModel>, String> {
// 与转发 / 检测路径共用 parse_custom_user_agent:非法 UA 静默忽略(不阻断取模型)。
let user_agent = crate::provider::parse_custom_user_agent(custom_user_agent.as_deref())
.ok()
.flatten();
model_fetch::fetch_models( model_fetch::fetch_models(
&base_url, &base_url,
&api_key, &api_key,
is_full_url.unwrap_or(false), is_full_url.unwrap_or(false),
models_url.as_deref(), models_url.as_deref(),
user_agent,
) )
.await .await
} }
+254 -21
View File
@@ -1,6 +1,7 @@
#![allow(non_snake_case)] #![allow(non_snake_case)]
use tauri::AppHandle; use tauri::AppHandle;
use tauri_plugin_updater::UpdaterExt;
fn merge_settings_for_save( fn merge_settings_for_save(
mut incoming: crate::settings::AppSettings, mut incoming: crate::settings::AppSettings,
@@ -35,24 +36,11 @@ fn merge_settings_for_save(
} }
_ => {} _ => {}
} }
if incoming.local_migrations.is_none() { // local_migrations 是纯后端状态(迁移完成标记),前端没有合法的修改场景,
incoming.local_migrations = existing.local_migrations.clone(); // 无条件取现有值。若按 incoming 透传:后端清掉 marker(如关闭统一会话
} else if let (Some(incoming_migrations), Some(existing_migrations)) = // 开关)后、前端 query 缓存刷新前的一次全量保存会把旧 marker 重放回来,
(&mut incoming.local_migrations, &existing.local_migrations) // 重新开启时被"复活"的标记挡住而漏迁。
{ incoming.local_migrations = existing.local_migrations.clone();
if incoming_migrations
.codex_third_party_history_provider_bucket_v1
.is_none()
{
incoming_migrations.codex_third_party_history_provider_bucket_v1 = existing_migrations
.codex_third_party_history_provider_bucket_v1
.clone();
}
if incoming_migrations.codex_provider_template_v1.is_none() {
incoming_migrations.codex_provider_template_v1 =
existing_migrations.codex_provider_template_v1.clone();
}
}
incoming incoming
} }
@@ -64,13 +52,117 @@ pub async fn get_settings() -> Result<crate::settings::AppSettings, String> {
/// 保存设置 /// 保存设置
#[tauri::command] #[tauri::command]
pub async fn save_settings(settings: crate::settings::AppSettings) -> Result<bool, String> { pub async fn save_settings(
state: tauri::State<'_, crate::store::AppState>,
settings: crate::settings::AppSettings,
) -> Result<bool, String> {
let existing = crate::settings::get_settings(); let existing = crate::settings::get_settings();
let merged = merge_settings_for_save(settings, &existing); let merged = merge_settings_for_save(settings, &existing);
let unify_codex_changed =
merged.unify_codex_session_history != existing.unify_codex_session_history;
let unify_codex_enabled = merged.unify_codex_session_history;
crate::settings::update_settings(merged).map_err(|e| e.to_string())?; crate::settings::update_settings(merged).map_err(|e| e.to_string())?;
// 统一会话开关变更时立即重写当前官方 Codex 供应商的 live 配置,
// 不必等下一次切换才生效。
if unify_codex_changed {
// live 重写失败时回滚设置并把保存整体报失败:若设置保持已切换状态,
// live 仍跑旧桶,后续的历史迁移/还原会让会话再次分裂(开启=历史
// 迁走而新会话仍写 openai 桶;关闭=会话还原而 live 仍写 custom)。
// 报错让前端 saved=false 短路还原;回滚是整次保存的事务语义
// (本开关的保存只携带开关相关字段)。
if let Err(err) =
crate::services::provider::reapply_current_codex_official_live(state.inner())
{
log::warn!("统一 Codex 会话历史开关变更后重写 live 配置失败,回滚设置: {err}");
if let Err(rollback_err) = crate::settings::update_settings(existing) {
log::error!("回滚统一会话开关设置失败: {rollback_err}");
}
return Err(format!(
"统一 Codex 会话历史开关未生效(live 配置重写失败): {err}"
));
}
if unify_codex_enabled {
// 后台执行存量迁移(openai 桶 → custom 桶;仅当用户勾选了迁入既有
// 会话,函数内部自门控)。大会话目录可能要读数秒,不能阻塞设置保存;
// 失败时不写完成标记,下次启动自动重试。
tauri::async_runtime::spawn_blocking(|| {
match crate::codex_history_migration::maybe_migrate_codex_official_history_to_unified_bucket() {
Ok(outcome) => {
if let Some(reason) = outcome.skipped_reason {
log::debug!("○ Codex official history unify migration skipped: {reason}");
} else {
log::info!(
"✓ Codex official history unify migration completed: jsonl_files={}, state_rows={}",
outcome.migrated_jsonl_files,
outcome.migrated_state_rows
);
}
}
Err(e) => {
log::warn!("✗ Codex official history unify migration failed: {e}");
}
}
});
} else {
// 清除标记与迁移意愿,让重新开启并再次勾选时能补迁
// 关闭期间落入 openai 桶的官方会话。
if let Err(err) = crate::settings::clear_codex_official_history_unify_migration() {
log::warn!("清除统一会话迁移标记失败: {err}");
}
if let Err(err) = crate::settings::clear_codex_unify_migrate_existing() {
log::warn!("清除统一会话迁移意愿失败: {err}");
}
}
}
Ok(true) Ok(true)
} }
#[derive(serde::Serialize)]
#[serde(rename_all = "camelCase")]
pub struct CodexUnifyHistoryRestoreResult {
pub restored_jsonl_files: usize,
pub restored_state_rows: usize,
/// 还原被跳过的原因(如当前目录没有账本),前端据此提示而非报"成功 0 项"。
#[serde(skip_serializing_if = "Option::is_none")]
pub skipped_reason: Option<String>,
}
/// 是否存在统一会话开关的迁移备份(决定关闭弹窗里是否显示"恢复备份"勾选)。
#[tauri::command]
pub async fn has_codex_unify_history_backup() -> Result<bool, String> {
Ok(crate::codex_history_migration::has_codex_official_history_unify_backup())
}
/// 按迁移备份账本把当时迁入共享桶的官方会话还原回 "openai" 桶。
/// 由关闭统一会话开关的确认弹窗触发;幂等,可安全重试。
#[tauri::command]
pub async fn restore_codex_unified_history() -> Result<CodexUnifyHistoryRestoreResult, String> {
let outcome = tauri::async_runtime::spawn_blocking(|| {
crate::codex_history_migration::restore_codex_official_history_from_backups()
})
.await
.map_err(|e| e.to_string())?
.map_err(|e| e.to_string())?;
if let Some(reason) = &outcome.skipped_reason {
log::debug!("○ Codex official history restore skipped: {reason}");
} else {
log::info!(
"✓ Codex official history restored from backups: jsonl_files={}, state_rows={}",
outcome.restored_jsonl_files,
outcome.restored_state_rows
);
}
Ok(CodexUnifyHistoryRestoreResult {
restored_jsonl_files: outcome.restored_jsonl_files,
restored_state_rows: outcome.restored_state_rows,
skipped_reason: outcome.skipped_reason,
})
}
/// 重启应用程序(当 app_config_dir 变更后使用) /// 重启应用程序(当 app_config_dir 变更后使用)
#[tauri::command] #[tauri::command]
pub async fn restart_app(app: AppHandle) -> Result<bool, String> { pub async fn restart_app(app: AppHandle) -> Result<bool, String> {
@@ -79,11 +171,80 @@ pub async fn restart_app(app: AppHandle) -> Result<bool, String> {
// 在后台延迟重启,让函数有时间返回响应 // 在后台延迟重启,让函数有时间返回响应
tauri::async_runtime::spawn(async move { tauri::async_runtime::spawn(async move {
tokio::time::sleep(tokio::time::Duration::from_millis(100)).await; tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;
// app.restart() 走 RESTART_EXIT_CODE 路径,ExitRequested 处理器会直接
// 放行给 Tauri 默认 re-exec,不执行代理/Live 清理。但本命令用于
// app_config_dir 变更后的重启:新实例会切到新数据库,拿不到旧库里的
// Live 备份,无法恢复被接管的 Live 配置。因此必须趁旧实例的事件循环
// 仍存活,在这里同步完成恢复(保留代理状态,新实例启动时自动重新接管)。
crate::cleanup_before_exit(&app).await;
app.restart(); app.restart();
}); });
Ok(true) Ok(true)
} }
/// 下载并安装应用更新,然后由后端直接重启应用。
///
/// macOS 更新会原地替换 `.app` bundle。如果先返回前端、再让旧 WebView 调
/// `process.relaunch()`,旧进程可能已经处在 bundle 被替换后的不稳定窗口期。
/// 这里把退出清理、安装和重启串在同一个后端流程中,避免依赖旧前端继续执行。
#[tauri::command]
pub async fn install_update_and_restart(app: AppHandle) -> Result<bool, String> {
let updater = app
.updater_builder()
.build()
.map_err(|e| format!("初始化更新器失败: {e}"))?;
let Some(update) = updater
.check()
.await
.map_err(|e| format!("检查更新失败: {e}"))?
else {
return Ok(false);
};
log::info!("开始下载应用更新: {}", update.version);
let bytes = update
.download(|_, _| {}, || {})
.await
.map_err(|e| format!("下载更新失败: {e}"))?;
log::info!("开始安装应用更新: {}", update.version);
#[cfg(target_os = "windows")]
{
// Windows updater 会在 install() 内启动安装器并直接退出当前进程
// (插件内部 std::process::exit(0),绕过 TrayIcon::drop、不发
// NIM_DELETE,会残留死图标——与托盘"退出"路径相同的问题)。
// 因此清理只能放在 install 前执行,且必须显式移除托盘图标。
crate::save_window_state_before_exit(&app);
crate::cleanup_before_exit(&app).await;
crate::remove_tray_icon_before_exit(&app);
crate::destroy_single_instance_lock(&app);
tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;
update.install(bytes).map_err(|e| {
format!(
"Windows 更新安装失败: {e}。已执行退出前清理,代理或 Live 接管可能已暂停;请重启应用或重新开启代理后再试。"
)
})?;
return Ok(true);
}
#[cfg(not(target_os = "windows"))]
{
// macOS/Linux install() 会返回;先安装,避免安装失败时误停代理/撤回接管。
update
.install(bytes)
.map_err(|e| format!("安装更新失败: {e}"))?;
crate::save_window_state_before_exit(&app);
crate::cleanup_before_exit(&app).await;
log::info!("应用更新安装完成,正在重启应用");
tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;
crate::restart_process(&app);
}
}
/// 获取 app_config_dir 覆盖配置 (从 Store) /// 获取 app_config_dir 覆盖配置 (从 Store)
#[tauri::command] #[tauri::command]
pub async fn get_app_config_dir_override(app: AppHandle) -> Result<Option<String>, String> { pub async fn get_app_config_dir_override(app: AppHandle) -> Result<Option<String>, String> {
@@ -116,8 +277,9 @@ pub async fn set_auto_launch(enabled: bool) -> Result<bool, String> {
mod tests { mod tests {
use super::merge_settings_for_save; use super::merge_settings_for_save;
use crate::settings::{ use crate::settings::{
AppSettings, CodexProviderTemplateMigration, CodexThirdPartyHistoryProviderBucketMigration, AppSettings, CodexOfficialHistoryUnifyMigration, CodexProviderTemplateMigration,
LocalMigrations, S3SyncSettings, WebDavSyncSettings, CodexThirdPartyHistoryProviderBucketMigration, LocalMigrations, S3SyncSettings,
WebDavSyncSettings,
}; };
#[test] #[test]
@@ -316,6 +478,13 @@ mod tests {
completed_at: "2026-05-20T00:01:00Z".to_string(), completed_at: "2026-05-20T00:01:00Z".to_string(),
migrated_provider_ids: vec!["legacy".to_string()], migrated_provider_ids: vec!["legacy".to_string()],
}), }),
codex_official_history_unify_v1: Some(CodexOfficialHistoryUnifyMigration {
completed_at: "2026-06-12T00:00:00Z".to_string(),
target_provider_id: "custom".to_string(),
migrated_jsonl_files: 5,
migrated_state_rows: 7,
codex_config_dir: None,
}),
}), }),
..AppSettings::default() ..AppSettings::default()
}; };
@@ -345,6 +514,70 @@ mod tests {
template_migration.migrated_provider_ids, template_migration.migrated_provider_ids,
vec!["legacy".to_string()] vec!["legacy".to_string()]
); );
let unify_migration = merged
.local_migrations
.as_ref()
.and_then(|migrations| migrations.codex_official_history_unify_v1.as_ref())
.expect("official unify migration marker should be preserved");
assert_eq!(unify_migration.migrated_jsonl_files, 5);
assert_eq!(unify_migration.migrated_state_rows, 7);
}
/// incoming 带有 local_migrations(哪怕是空的)也不能覆盖后端维护的标记。
#[test]
fn save_settings_should_keep_backend_migration_markers_over_incoming() {
let existing = AppSettings {
local_migrations: Some(LocalMigrations {
codex_third_party_history_provider_bucket_v1: None,
codex_provider_template_v1: None,
codex_official_history_unify_v1: Some(CodexOfficialHistoryUnifyMigration {
completed_at: "2026-06-12T00:00:00Z".to_string(),
target_provider_id: "custom".to_string(),
migrated_jsonl_files: 1,
migrated_state_rows: 2,
codex_config_dir: None,
}),
}),
..AppSettings::default()
};
let incoming = AppSettings {
local_migrations: Some(LocalMigrations::default()),
..AppSettings::default()
};
let merged = merge_settings_for_save(incoming, &existing);
assert!(merged
.local_migrations
.as_ref()
.and_then(|migrations| migrations.codex_official_history_unify_v1.as_ref())
.is_some());
}
/// 后端清掉 marker 后(如关闭统一会话开关)、前端缓存刷新前的全量保存
/// 会携带旧 markermerge 必须忽略它,否则被"复活"的标记会让重新开启
/// 时误判已迁移而漏迁。
#[test]
fn save_settings_should_ignore_stale_incoming_migration_markers() {
let existing = AppSettings::default();
let incoming = AppSettings {
local_migrations: Some(LocalMigrations {
codex_official_history_unify_v1: Some(CodexOfficialHistoryUnifyMigration {
completed_at: "2026-06-12T00:00:00Z".to_string(),
target_provider_id: "custom".to_string(),
migrated_jsonl_files: 1,
migrated_state_rows: 2,
codex_config_dir: None,
}),
..LocalMigrations::default()
}),
..AppSettings::default()
};
let merged = merge_settings_for_save(incoming, &existing);
assert!(merged.local_migrations.is_none());
} }
} }
+30 -151
View File
@@ -1,4 +1,7 @@
//! 流式健康检查命令 //! 供应商连通性检查命令
//!
//! 注意:本检查只探测 base_url 是否可达,不发真实大模型请求,也不触碰故障转移
//! 熔断器(熔断器由真实转发流量驱动)。详见 `services::stream_check`。
use crate::app_config::AppType; use crate::app_config::AppType;
use crate::commands::copilot::CopilotAuthState; use crate::commands::copilot::CopilotAuthState;
@@ -10,7 +13,7 @@ use crate::store::AppState;
use std::collections::HashSet; use std::collections::HashSet;
use tauri::State; use tauri::State;
/// 流式健康检查(单个供应商) /// 连通性检查(单个供应商)
#[tauri::command] #[tauri::command]
pub async fn stream_check_provider( pub async fn stream_check_provider(
state: State<'_, AppState>, state: State<'_, AppState>,
@@ -25,25 +28,12 @@ pub async fn stream_check_provider(
.get(&provider_id) .get(&provider_id)
.ok_or_else(|| AppError::Message(format!("供应商 {provider_id} 不存在")))?; .ok_or_else(|| AppError::Message(format!("供应商 {provider_id} 不存在")))?;
let auth_override = resolve_copilot_auth_override(provider, &copilot_state).await?; // Copilot 端点是动态的(随 OAuth token 解析),需预先取出 host 再探测;
// 其余供应商传 None,由服务层从 settings_config 提取 base_url。无需鉴权。
let base_url_override = resolve_copilot_base_url_override(provider, &copilot_state).await?; let base_url_override = resolve_copilot_base_url_override(provider, &copilot_state).await?;
let claude_api_format_override = resolve_claude_api_format_override( let result =
&app_type, StreamCheckService::check_with_retry(&app_type, provider, &config, base_url_override)
provider, .await?;
&config,
&copilot_state,
auth_override.as_ref(),
)
.await?;
let result = StreamCheckService::check_with_retry(
&app_type,
provider,
&config,
auth_override,
base_url_override,
claude_api_format_override,
)
.await?;
// 记录日志 // 记录日志
let _ = let _ =
@@ -54,7 +44,7 @@ pub async fn stream_check_provider(
Ok(result) Ok(result)
} }
/// 批量流式健康检查 /// 批量连通性检查
#[tauri::command] #[tauri::command]
pub async fn stream_check_all_providers( pub async fn stream_check_all_providers(
state: State<'_, AppState>, state: State<'_, AppState>,
@@ -65,7 +55,6 @@ pub async fn stream_check_all_providers(
let config = state.db.get_stream_check_config()?; let config = state.db.get_stream_check_config()?;
let providers = state.db.get_all_providers(app_type.as_str())?; let providers = state.db.get_all_providers(app_type.as_str())?;
let mut results = Vec::new();
let allowed_ids: Option<HashSet<String>> = if proxy_targets_only { let allowed_ids: Option<HashSet<String>> = if proxy_targets_only {
let mut ids = HashSet::new(); let mut ids = HashSet::new();
if let Ok(Some(current_id)) = state.db.get_current_provider(app_type.as_str()) { if let Ok(Some(current_id)) = state.db.get_current_provider(app_type.as_str()) {
@@ -81,6 +70,7 @@ pub async fn stream_check_all_providers(
None None
}; };
let mut results = Vec::new();
for (id, provider) in providers { for (id, provider) in providers {
if let Some(ids) = &allowed_ids { if let Some(ids) = &allowed_ids {
if !ids.contains(&id) { if !ids.contains(&id) {
@@ -88,54 +78,22 @@ pub async fn stream_check_all_providers(
} }
} }
let auth_override = resolve_copilot_auth_override(&provider, &copilot_state).await?;
let base_url_override = let base_url_override =
resolve_copilot_base_url_override(&provider, &copilot_state).await?; resolve_copilot_base_url_override(&provider, &copilot_state).await?;
let claude_api_format_override = resolve_claude_api_format_override( let result =
&app_type, StreamCheckService::check_with_retry(&app_type, &provider, &config, base_url_override)
&provider, .await
&config, .unwrap_or_else(|e| StreamCheckResult {
&copilot_state, status: HealthStatus::Failed,
auth_override.as_ref(), success: false,
) message: e.to_string(),
.await response_time_ms: None,
.unwrap_or_else(|e| { http_status: None,
log::warn!( model_used: String::new(),
"[StreamCheck] Failed to resolve Claude API format override for {}: {}", tested_at: chrono::Utc::now().timestamp(),
provider.id, retry_count: 0,
e error_category: None,
); });
None
});
let result = StreamCheckService::check_with_retry(
&app_type,
&provider,
&config,
auth_override,
base_url_override,
claude_api_format_override,
)
.await
.unwrap_or_else(|e| {
let (http_status, message) = match &e {
crate::error::AppError::HttpStatus { status, .. } => (
Some(*status),
StreamCheckService::classify_http_status(*status).to_string(),
),
_ => (None, e.to_string()),
};
StreamCheckResult {
status: HealthStatus::Failed,
success: false,
message,
response_time_ms: None,
http_status,
model_used: String::new(),
tested_at: chrono::Utc::now().timestamp(),
retry_count: 0,
error_category: None,
}
});
let _ = state let _ = state
.db .db
@@ -147,13 +105,13 @@ pub async fn stream_check_all_providers(
Ok(results) Ok(results)
} }
/// 获取流式检查配置 /// 获取连通性检查配置
#[tauri::command] #[tauri::command]
pub fn get_stream_check_config(state: State<'_, AppState>) -> Result<StreamCheckConfig, AppError> { pub fn get_stream_check_config(state: State<'_, AppState>) -> Result<StreamCheckConfig, AppError> {
state.db.get_stream_check_config() state.db.get_stream_check_config()
} }
/// 保存流式检查配置 /// 保存连通性检查配置
#[tauri::command] #[tauri::command]
pub fn save_stream_check_config( pub fn save_stream_check_config(
state: State<'_, AppState>, state: State<'_, AppState>,
@@ -162,39 +120,8 @@ pub fn save_stream_check_config(
state.db.save_stream_check_config(&config) state.db.save_stream_check_config(&config)
} }
async fn resolve_copilot_auth_override( /// Copilot 供应商的 base_url 需要从 OAuth 管理器动态解析(按账号或默认端点)。
provider: &crate::provider::Provider, /// `is_full_url` 的供应商已是完整地址,无需解析。
copilot_state: &State<'_, CopilotAuthState>,
) -> Result<Option<crate::proxy::providers::AuthInfo>, AppError> {
let is_copilot = is_copilot_provider(provider);
if !is_copilot {
return Ok(None);
}
let auth_manager = copilot_state.0.read().await;
let account_id = provider
.meta
.as_ref()
.and_then(|meta| meta.managed_account_id_for("github_copilot"));
let token = match account_id.as_deref() {
Some(id) => auth_manager
.get_valid_token_for_account(id)
.await
.map_err(|e| AppError::Message(format!("GitHub Copilot 认证失败: {e}")))?,
None => auth_manager
.get_valid_token()
.await
.map_err(|e| AppError::Message(format!("GitHub Copilot 认证失败: {e}")))?,
};
Ok(Some(crate::proxy::providers::AuthInfo::new(
token,
crate::proxy::providers::AuthStrategy::GitHubCopilot,
)))
}
async fn resolve_copilot_base_url_override( async fn resolve_copilot_base_url_override(
provider: &crate::provider::Provider, provider: &crate::provider::Provider,
copilot_state: &State<'_, CopilotAuthState>, copilot_state: &State<'_, CopilotAuthState>,
@@ -238,54 +165,6 @@ fn is_copilot_provider(provider: &crate::provider::Provider) -> bool {
.unwrap_or(false) .unwrap_or(false)
} }
async fn resolve_claude_api_format_override(
app_type: &AppType,
provider: &crate::provider::Provider,
config: &StreamCheckConfig,
copilot_state: &State<'_, CopilotAuthState>,
auth_override: Option<&crate::proxy::providers::AuthInfo>,
) -> Result<Option<String>, AppError> {
if *app_type != AppType::Claude {
return Ok(None);
}
let is_copilot = auth_override
.map(|auth| auth.strategy == crate::proxy::providers::AuthStrategy::GitHubCopilot)
.unwrap_or(false);
if !is_copilot {
return Ok(None);
}
let model_id = StreamCheckService::resolve_effective_test_model(app_type, provider, config);
let auth_manager = copilot_state.0.read().await;
let account_id = provider
.meta
.as_ref()
.and_then(|meta| meta.managed_account_id_for("github_copilot"));
let vendor_result = match account_id.as_deref() {
Some(id) => {
auth_manager
.get_model_vendor_for_account(id, &model_id)
.await
}
None => auth_manager.get_model_vendor(&model_id).await,
};
let api_format = match vendor_result {
Ok(Some(vendor)) if vendor.eq_ignore_ascii_case("openai") => "openai_responses",
Ok(Some(_)) | Ok(None) => "openai_chat",
Err(err) => {
log::warn!(
"[StreamCheck] Failed to resolve Copilot model vendor for {model_id}: {err}. Falling back to chat/completions"
);
"openai_chat"
}
};
Ok(Some(api_format.to_string()))
}
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::is_copilot_provider; use super::is_copilot_provider;
+44 -13
View File
@@ -14,10 +14,16 @@ pub fn get_usage_summary(
start_date: Option<i64>, start_date: Option<i64>,
end_date: Option<i64>, end_date: Option<i64>,
app_type: Option<String>, app_type: Option<String>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<UsageSummary, AppError> { ) -> Result<UsageSummary, AppError> {
state state.db.get_usage_summary(
.db start_date,
.get_usage_summary(start_date, end_date, app_type.as_deref()) end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.as_deref(),
)
} }
/// 获取按 app_type 拆分的使用量汇总 /// 获取按 app_type 拆分的使用量汇总
@@ -26,8 +32,15 @@ pub fn get_usage_summary_by_app(
state: State<'_, AppState>, state: State<'_, AppState>,
start_date: Option<i64>, start_date: Option<i64>,
end_date: Option<i64>, end_date: Option<i64>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<UsageSummaryByApp>, AppError> { ) -> Result<Vec<UsageSummaryByApp>, AppError> {
state.db.get_usage_summary_by_app(start_date, end_date) state.db.get_usage_summary_by_app(
start_date,
end_date,
provider_name.as_deref(),
model.as_deref(),
)
} }
/// 获取每日趋势 /// 获取每日趋势
@@ -37,10 +50,16 @@ pub fn get_usage_trends(
start_date: Option<i64>, start_date: Option<i64>,
end_date: Option<i64>, end_date: Option<i64>,
app_type: Option<String>, app_type: Option<String>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<DailyStats>, AppError> { ) -> Result<Vec<DailyStats>, AppError> {
state state.db.get_daily_trends(
.db start_date,
.get_daily_trends(start_date, end_date, app_type.as_deref()) end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.as_deref(),
)
} }
/// 获取 Provider 统计 /// 获取 Provider 统计
@@ -50,10 +69,16 @@ pub fn get_provider_stats(
start_date: Option<i64>, start_date: Option<i64>,
end_date: Option<i64>, end_date: Option<i64>,
app_type: Option<String>, app_type: Option<String>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<ProviderStats>, AppError> { ) -> Result<Vec<ProviderStats>, AppError> {
state state.db.get_provider_stats(
.db start_date,
.get_provider_stats(start_date, end_date, app_type.as_deref()) end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.as_deref(),
)
} }
/// 获取模型统计 /// 获取模型统计
@@ -63,10 +88,16 @@ pub fn get_model_stats(
start_date: Option<i64>, start_date: Option<i64>,
end_date: Option<i64>, end_date: Option<i64>,
app_type: Option<String>, app_type: Option<String>,
provider_name: Option<String>,
model: Option<String>,
) -> Result<Vec<ModelStats>, AppError> { ) -> Result<Vec<ModelStats>, AppError> {
state state.db.get_model_stats(
.db start_date,
.get_model_stats(start_date, end_date, app_type.as_deref()) end_date,
app_type.as_deref(),
provider_name.as_deref(),
model.as_deref(),
)
} }
/// 获取请求日志列表 /// 获取请求日志列表
+157 -4
View File
@@ -75,6 +75,15 @@ impl Database {
return Ok(0); return Ok(0);
} }
// 剪枝是不可逆的:明细一旦汇总删除,0 成本行就永远失去按 pricing_model
// 补价重算的机会(启动序列里 seed 定价先于 rollup、但启动回填在 rollup
// 之后;周期任务同理)。所以剪枝前先尽力回填一次。失败仅告警不阻断——
// 否则一行损坏的定价数据会永久卡死日志清理。
// 注意必须在 SAVEPOINT 之外调用:回填内部自己开顶层事务。
if let Err(e) = Self::backfill_missing_usage_costs_on_conn(&conn, None) {
log::warn!("Pre-prune cost backfill failed, pruning anyway: {e}");
}
// Use a savepoint for atomicity // Use a savepoint for atomicity
conn.execute("SAVEPOINT rollup_prune;", []) conn.execute("SAVEPOINT rollup_prune;", [])
.map_err(|e| AppError::Database(e.to_string()))?; .map_err(|e| AppError::Database(e.to_string()))?;
@@ -106,15 +115,18 @@ impl Database {
fn do_rollup_and_prune(conn: &rusqlite::Connection, cutoff: i64) -> Result<u64, AppError> { fn do_rollup_and_prune(conn: &rusqlite::Connection, cutoff: i64) -> Result<u64, AppError> {
// Aggregate old logs, merging with any pre-existing rollup rows via LEFT JOIN. // Aggregate old logs, merging with any pre-existing rollup rows via LEFT JOIN.
let effective_filter = effective_usage_log_filter("l"); let effective_filter = effective_usage_log_filter("l");
// request_model 维度保留路由接管的「客户端别名 → 真实模型」映射,
// pricing_model 维度保留写入时的计价基准(request 计价模式下与 model 分叉);
// 明细行的这两列可能为 NULL(历史/手工数据),归一为 ''。
let aggregation_sql = format!( let aggregation_sql = format!(
"INSERT OR REPLACE INTO usage_daily_rollups "INSERT OR REPLACE INTO usage_daily_rollups
(date, app_type, provider_id, model, (date, app_type, provider_id, model, request_model, pricing_model,
request_count, success_count, request_count, success_count,
input_tokens, output_tokens, input_tokens, output_tokens,
cache_read_tokens, cache_creation_tokens, cache_read_tokens, cache_creation_tokens,
total_cost_usd, avg_latency_ms) total_cost_usd, avg_latency_ms)
SELECT SELECT
d, a, p, m, d, a, p, m, rm, pm,
COALESCE(old.request_count, 0) + new_req, COALESCE(old.request_count, 0) + new_req,
COALESCE(old.success_count, 0) + new_succ, COALESCE(old.success_count, 0) + new_succ,
COALESCE(old.input_tokens, 0) + new_in, COALESCE(old.input_tokens, 0) + new_in,
@@ -131,6 +143,8 @@ impl Database {
SELECT SELECT
date(l.created_at, 'unixepoch', 'localtime') as d, date(l.created_at, 'unixepoch', 'localtime') as d,
l.app_type as a, l.provider_id as p, l.model as m, l.app_type as a, l.provider_id as p, l.model as m,
COALESCE(l.request_model, '') as rm,
COALESCE(l.pricing_model, '') as pm,
COUNT(*) as new_req, COUNT(*) as new_req,
SUM(CASE WHEN l.status_code >= 200 AND l.status_code < 300 THEN 1 ELSE 0 END) as new_succ, SUM(CASE WHEN l.status_code >= 200 AND l.status_code < 300 THEN 1 ELSE 0 END) as new_succ,
COALESCE(SUM(l.input_tokens), 0) as new_in, COALESCE(SUM(l.input_tokens), 0) as new_in,
@@ -141,11 +155,12 @@ impl Database {
COALESCE(AVG(l.latency_ms), 0) as new_lat COALESCE(AVG(l.latency_ms), 0) as new_lat
FROM proxy_request_logs l FROM proxy_request_logs l
WHERE l.created_at < ?1 AND {effective_filter} WHERE l.created_at < ?1 AND {effective_filter}
GROUP BY d, a, p, m GROUP BY d, a, p, m, rm, pm
) agg ) agg
LEFT JOIN usage_daily_rollups old LEFT JOIN usage_daily_rollups old
ON old.date = agg.d AND old.app_type = agg.a ON old.date = agg.d AND old.app_type = agg.a
AND old.provider_id = agg.p AND old.model = agg.m" AND old.provider_id = agg.p AND old.model = agg.m
AND old.request_model = agg.rm AND old.pricing_model = agg.pm"
); );
conn.execute(&aggregation_sql, [cutoff]) conn.execute(&aggregation_sql, [cutoff])
@@ -325,6 +340,144 @@ mod tests {
Ok(()) Ok(())
} }
#[test]
fn test_rollup_preserves_request_model_dimension() -> Result<(), AppError> {
let db = Database::memory()?;
let now = chrono::Utc::now().timestamp();
let old_ts = now - 40 * 86400;
{
let conn = crate::database::lock_conn!(db.conn);
// 路由接管行:model 是真实上游模型,request_model 是客户端别名。
// 同 model 下两个不同别名必须各自成行,prune 后映射关系仍可审计。
for (i, request_model) in [
("a", "claude-sonnet-4-6"),
("b", "claude-sonnet-4-6"),
("c", "claude-haiku-4-5"),
] {
conn.execute(
"INSERT INTO proxy_request_logs (
request_id, provider_id, app_type, model, request_model,
input_tokens, output_tokens, total_cost_usd,
latency_ms, status_code, created_at
) VALUES (?1, 'p1', 'claude', 'kimi-k2', ?2, 100, 50, '0.01', 100, 200, ?3)",
rusqlite::params![format!("takeover-{i}"), request_model, old_ts],
)?;
}
}
let deleted = db.rollup_and_prune(30)?;
assert_eq!(deleted, 3);
let conn = crate::database::lock_conn!(db.conn);
let mut stmt = conn.prepare(
"SELECT request_model, request_count FROM usage_daily_rollups
WHERE model = 'kimi-k2' ORDER BY request_model",
)?;
let rows = stmt
.query_map([], |row| {
Ok((row.get::<_, String>(0)?, row.get::<_, i64>(1)?))
})?
.collect::<Result<Vec<_>, _>>()?;
assert_eq!(
rows,
vec![
("claude-haiku-4-5".to_string(), 1),
("claude-sonnet-4-6".to_string(), 2),
]
);
Ok(())
}
#[test]
fn test_rollup_preserves_pricing_model_dimension() -> Result<(), AppError> {
let db = Database::memory()?;
let now = chrono::Utc::now().timestamp();
let old_ts = now - 40 * 86400;
{
let conn = crate::database::lock_conn!(db.conn);
// request 计价模式下 pricing_model 与 model 分叉,必须各自成行
conn.execute(
"INSERT INTO proxy_request_logs (
request_id, provider_id, app_type, model, request_model, pricing_model,
input_tokens, output_tokens, total_cost_usd,
latency_ms, status_code, created_at
) VALUES ('pm-a', 'p1', 'claude', 'kimi-k2', 'claude-sonnet-4-6', 'kimi-k2',
100, 50, '0.01', 100, 200, ?1)",
rusqlite::params![old_ts],
)?;
conn.execute(
"INSERT INTO proxy_request_logs (
request_id, provider_id, app_type, model, request_model, pricing_model,
input_tokens, output_tokens, total_cost_usd,
latency_ms, status_code, created_at
) VALUES ('pm-b', 'p1', 'claude', 'kimi-k2', 'claude-sonnet-4-6', 'claude-sonnet-4-6',
100, 50, '0.30', 100, 200, ?1)",
rusqlite::params![old_ts],
)?;
}
let deleted = db.rollup_and_prune(30)?;
assert_eq!(deleted, 2);
let conn = crate::database::lock_conn!(db.conn);
let mut stmt = conn.prepare(
"SELECT pricing_model, total_cost_usd FROM usage_daily_rollups
WHERE model = 'kimi-k2' ORDER BY pricing_model",
)?;
let rows = stmt
.query_map([], |row| {
Ok((row.get::<_, String>(0)?, row.get::<_, String>(1)?))
})?
.collect::<Result<Vec<_>, _>>()?;
assert_eq!(rows.len(), 2);
assert_eq!(rows[0].0, "claude-sonnet-4-6");
assert_eq!(rows[1].0, "kimi-k2");
Ok(())
}
#[test]
fn test_rollup_backfills_costs_before_pruning() -> Result<(), AppError> {
let db = Database::memory()?;
let now = chrono::Utc::now().timestamp();
let old_ts = now - 40 * 86400;
{
let conn = crate::database::lock_conn!(db.conn);
// >30 天的 0 成本行:pricing_modelgpt-5.5)在 seed 定价表中有价。
// 剪枝是不可逆的,rollup 必须先回填再汇总,否则按 0 永久入账。
conn.execute(
"INSERT INTO proxy_request_logs (
request_id, provider_id, app_type, model, request_model, pricing_model,
input_tokens, output_tokens, total_cost_usd,
latency_ms, status_code, created_at
) VALUES ('prune-backfill', 'p1', 'codex', 'gpt-5.5', 'gpt-5.5', 'gpt-5.5',
1000000, 0, '0', 100, 200, ?1)",
rusqlite::params![old_ts],
)?;
}
let deleted = db.rollup_and_prune(30)?;
assert_eq!(deleted, 1);
let conn = crate::database::lock_conn!(db.conn);
let total_cost: f64 = conn.query_row(
"SELECT CAST(total_cost_usd AS REAL) FROM usage_daily_rollups
WHERE model = 'gpt-5.5'",
[],
|row| row.get(0),
)?;
// gpt-5.5 input $5/M × 1M tokens,回填后再汇总
assert!(
(total_cost - 5.0).abs() < 1e-6,
"expected backfilled cost 5.0, got {total_cost}"
);
Ok(())
}
#[test] #[test]
fn test_rollup_noop_when_no_old_data() -> Result<(), AppError> { fn test_rollup_noop_when_no_old_data() -> Result<(), AppError> {
let db = Database::memory()?; let db = Database::memory()?;
+1 -1
View File
@@ -49,7 +49,7 @@ use std::sync::Mutex;
/// 当前 Schema 版本号 /// 当前 Schema 版本号
/// 每次修改表结构时递增,并在 schema.rs 中添加相应的迁移逻辑 /// 每次修改表结构时递增,并在 schema.rs 中添加相应的迁移逻辑
pub(crate) const SCHEMA_VERSION: i32 = 10; pub(crate) const SCHEMA_VERSION: i32 = 11;
/// 安全地序列化 JSON,避免 unwrap panic /// 安全地序列化 JSON,避免 unwrap panic
pub(crate) fn to_json_string<T: Serialize>(value: &T) -> Result<String, AppError> { pub(crate) fn to_json_string<T: Serialize>(value: &T) -> Result<String, AppError> {
+395 -24
View File
@@ -181,9 +181,12 @@ impl Database {
)", []).map_err(|e| AppError::Database(e.to_string()))?; )", []).map_err(|e| AppError::Database(e.to_string()))?;
// 10. Proxy Request Logs 表 // 10. Proxy Request Logs 表
// pricing_model = 写入时实际用于计价的模型名(pricing_model_source 解析结果),
// 回填按它重算;NULL 表示 v11 之前的历史行,'' 表示未计价的错误行。
conn.execute("CREATE TABLE IF NOT EXISTS proxy_request_logs ( conn.execute("CREATE TABLE IF NOT EXISTS proxy_request_logs (
request_id TEXT PRIMARY KEY, provider_id TEXT NOT NULL, app_type TEXT NOT NULL, model TEXT NOT NULL, request_id TEXT PRIMARY KEY, provider_id TEXT NOT NULL, app_type TEXT NOT NULL, model TEXT NOT NULL,
request_model TEXT, request_model TEXT,
pricing_model TEXT,
input_tokens INTEGER NOT NULL DEFAULT 0, output_tokens INTEGER NOT NULL DEFAULT 0, input_tokens INTEGER NOT NULL DEFAULT 0, output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0, cache_creation_tokens INTEGER NOT NULL DEFAULT 0, cache_read_tokens INTEGER NOT NULL DEFAULT 0, cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
input_cost_usd TEXT NOT NULL DEFAULT '0', output_cost_usd TEXT NOT NULL DEFAULT '0', input_cost_usd TEXT NOT NULL DEFAULT '0', output_cost_usd TEXT NOT NULL DEFAULT '0',
@@ -255,12 +258,17 @@ impl Database {
.map_err(|e| AppError::Database(e.to_string()))?; .map_err(|e| AppError::Database(e.to_string()))?;
// 17. Usage Daily Rollups 表 (日聚合统计) // 17. Usage Daily Rollups 表 (日聚合统计)
// request_model 保留路由接管的「客户端别名 → 真实模型」映射维度,
// pricing_model 保留写入时的计价基准(request 计价模式下与 model 分叉),
// 否则明细被 prune 后接管计费不可审计;历史行迁移时填 ''(未知)。
conn.execute( conn.execute(
"CREATE TABLE IF NOT EXISTS usage_daily_rollups ( "CREATE TABLE IF NOT EXISTS usage_daily_rollups (
date TEXT NOT NULL, date TEXT NOT NULL,
app_type TEXT NOT NULL, app_type TEXT NOT NULL,
provider_id TEXT NOT NULL, provider_id TEXT NOT NULL,
model TEXT NOT NULL, model TEXT NOT NULL,
request_model TEXT NOT NULL DEFAULT '',
pricing_model TEXT NOT NULL DEFAULT '',
request_count INTEGER NOT NULL DEFAULT 0, request_count INTEGER NOT NULL DEFAULT 0,
success_count INTEGER NOT NULL DEFAULT 0, success_count INTEGER NOT NULL DEFAULT 0,
input_tokens INTEGER NOT NULL DEFAULT 0, input_tokens INTEGER NOT NULL DEFAULT 0,
@@ -269,7 +277,7 @@ impl Database {
cache_creation_tokens INTEGER NOT NULL DEFAULT 0, cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
total_cost_usd TEXT NOT NULL DEFAULT '0', total_cost_usd TEXT NOT NULL DEFAULT '0',
avg_latency_ms INTEGER NOT NULL DEFAULT 0, avg_latency_ms INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (date, app_type, provider_id, model) PRIMARY KEY (date, app_type, provider_id, model, request_model, pricing_model)
)", )",
[], [],
) )
@@ -431,6 +439,11 @@ impl Database {
Self::migrate_v9_to_v10(conn)?; Self::migrate_v9_to_v10(conn)?;
Self::set_user_version(conn, 10)?; Self::set_user_version(conn, 10)?;
} }
10 => {
log::info!("迁移数据库从 v10 到 v11usage_daily_rollups 保留 request_model 维度)");
Self::migrate_v10_to_v11(conn)?;
Self::set_user_version(conn, 11)?;
}
_ => { _ => {
return Err(AppError::Database(format!( return Err(AppError::Database(format!(
"未知的数据库版本 {version},无法迁移到 {SCHEMA_VERSION}" "未知的数据库版本 {version},无法迁移到 {SCHEMA_VERSION}"
@@ -1200,11 +1213,85 @@ impl Database {
Ok(()) Ok(())
} }
/// v10 -> v11usage_daily_rollups 增加 request_model 维度(进入主键),
/// proxy_request_logs 增加 pricing_model 列(写入时的计价基准,回填依据)。
///
/// 路由接管下 model(真实上游模型)≠ request_model(客户端别名),
/// 旧 rollup 只按 model 聚合,明细 prune 后映射关系永久丢失、计费不可审计。
/// SQLite 改主键必须重建表;历史行的 request_model 已不可知,填 ''。
fn migrate_v10_to_v11(conn: &Connection) -> Result<(), AppError> {
// proxy_request_logs.pricing_modelNULL = v11 前的历史行(回填走
// model → 占位符回退 request_model 的旧逻辑),'' = 未计价的错误行
if Self::table_exists(conn, "proxy_request_logs")? {
Self::add_column_if_missing(conn, "proxy_request_logs", "pricing_model", "TEXT")?;
}
if !Self::table_exists(conn, "usage_daily_rollups")? {
log::info!("v10 -> v11usage_daily_rollups 不存在,跳过重建");
return Ok(());
}
conn.execute_batch(
"ALTER TABLE usage_daily_rollups RENAME TO usage_daily_rollups_v10;
CREATE TABLE usage_daily_rollups (
date TEXT NOT NULL,
app_type TEXT NOT NULL,
provider_id TEXT NOT NULL,
model TEXT NOT NULL,
request_model TEXT NOT NULL DEFAULT '',
pricing_model TEXT NOT NULL DEFAULT '',
request_count INTEGER NOT NULL DEFAULT 0,
success_count INTEGER NOT NULL DEFAULT 0,
input_tokens INTEGER NOT NULL DEFAULT 0,
output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0,
cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
total_cost_usd TEXT NOT NULL DEFAULT '0',
avg_latency_ms INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (date, app_type, provider_id, model, request_model, pricing_model)
);
INSERT INTO usage_daily_rollups
(date, app_type, provider_id, model, request_model, pricing_model,
request_count, success_count, input_tokens, output_tokens,
cache_read_tokens, cache_creation_tokens, total_cost_usd, avg_latency_ms)
SELECT date, app_type, provider_id, model, '', '',
request_count, success_count, input_tokens, output_tokens,
cache_read_tokens, cache_creation_tokens, total_cost_usd, avg_latency_ms
FROM usage_daily_rollups_v10;
DROP TABLE usage_daily_rollups_v10;",
)
.map_err(|e| {
AppError::Database(format!("v10 -> v11 重建 usage_daily_rollups 失败: {e}"))
})?;
log::info!(
"v10 -> v11 迁移完成:usage_daily_rollups 已保留 request_model/pricing_model 维度"
);
Ok(())
}
/// 插入默认模型定价数据 /// 插入默认模型定价数据
/// 格式: (model_id, display_name, input, output, cache_read, cache_creation) /// 格式: (model_id, display_name, input, output, cache_read, cache_creation)
/// 注意: model_id 使用短横线格式(如 claude-haiku-4-5),与 API 返回的模型名称标准化后一致 /// 注意: model_id 使用短横线格式(如 claude-haiku-4-5),与 API 返回的模型名称标准化后一致
fn seed_model_pricing(conn: &Connection) -> Result<(), AppError> { fn seed_model_pricing(conn: &Connection) -> Result<(), AppError> {
let pricing_data = [ let pricing_data = [
// Claude Fable 5Opus 之上的新档)
(
"claude-fable-5",
"Claude Fable 5",
"10",
"50",
"1.00",
"12.50",
),
(
"claude-mythos-5",
"Claude Mythos 5",
"10",
"50",
"1.00",
"12.50",
),
// Claude 4.8 系列 // Claude 4.8 系列
( (
"claude-opus-4-8", "claude-opus-4-8",
@@ -1571,6 +1658,14 @@ impl Database {
"0", "0",
), ),
// StepFun 系列 // StepFun 系列
(
"step-3.7-flash",
"Step 3.7 Flash",
"0.19",
"1.13",
"0.04",
"0",
),
( (
"step-3.5-flash", "step-3.5-flash",
"Step 3.5 Flash", "Step 3.5 Flash",
@@ -1602,7 +1697,7 @@ impl Database {
"Doubao Seed 2.0 Pro", "Doubao Seed 2.0 Pro",
"0.47", "0.47",
"2.37", "2.37",
"0", "0.09",
"0", "0",
), ),
( (
@@ -1610,7 +1705,7 @@ impl Database {
"Doubao Seed 2.0 Code", "Doubao Seed 2.0 Code",
"0.47", "0.47",
"2.37", "2.37",
"0", "0.09",
"0", "0",
), ),
( (
@@ -1618,15 +1713,15 @@ impl Database {
"Doubao Seed 2.0 Code Preview", "Doubao Seed 2.0 Code Preview",
"0.47", "0.47",
"2.37", "2.37",
"0", "0.09",
"0", "0",
), ),
( (
"doubao-seed-2-0-lite", "doubao-seed-2-0-lite",
"Doubao Seed 2.0 Lite", "Doubao Seed 2.0 Lite",
"0.25", "0.08",
"2", "0.50",
"0", "0.017",
"0", "0",
), ),
( (
@@ -1634,7 +1729,7 @@ impl Database {
"Doubao Seed 2.0 Mini", "Doubao Seed 2.0 Mini",
"0.03", "0.03",
"0.31", "0.31",
"0", "0.0056",
"0", "0",
), ),
// DeepSeek 系列 // DeepSeek 系列
@@ -1706,8 +1801,16 @@ impl Database {
"0.14", "0.14",
"0", "0",
), ),
("kimi-k2.5", "Kimi K2.5", "0.60", "2.50", "0.10", "0"), ("kimi-k2.5", "Kimi K2.5", "0.60", "3.00", "0.10", "0"),
("kimi-k2.6", "Kimi K2.6", "0.95", "4.00", "0.16", "0"), ("kimi-k2.6", "Kimi K2.6", "0.95", "4.00", "0.16", "0"),
(
"kimi-k2.7-code",
"Kimi K2.7 Code",
"0.95",
"4.00",
"0.19",
"0",
),
// MiniMax 系列 // MiniMax 系列
("minimax-m2.1", "MiniMax M2.1", "0.27", "0.95", "0.03", "0"), ("minimax-m2.1", "MiniMax M2.1", "0.27", "0.95", "0.03", "0"),
( (
@@ -1719,7 +1822,7 @@ impl Database {
"0", "0",
), ),
("minimax-m2", "MiniMax M2", "0.27", "0.95", "0.03", "0"), ("minimax-m2", "MiniMax M2", "0.27", "0.95", "0.03", "0"),
("minimax-m2.5", "MiniMax M2.5", "0.12", "0.95", "0.03", "0"), ("minimax-m2.5", "MiniMax M2.5", "0.15", "0.95", "0.03", "0"),
( (
"minimax-m2.5-lightning", "minimax-m2.5-lightning",
"MiniMax M2.5 Lightning", "MiniMax M2.5 Lightning",
@@ -1746,8 +1849,8 @@ impl Database {
), ),
("minimax-m3", "MiniMax M3", "0.60", "2.40", "0.12", "0"), ("minimax-m3", "MiniMax M3", "0.60", "2.40", "0.12", "0"),
// GLM (智谱) // GLM (智谱)
("glm-4.7", "GLM-4.7", "0.39", "1.75", "0.04", "0"), ("glm-4.7", "GLM-4.7", "0.6", "2.2", "0.11", "0"),
("glm-4.6", "GLM-4.6", "0.28", "1.11", "0.03", "0"), ("glm-4.6", "GLM-4.6", "0.6", "2.2", "0.11", "0"),
("glm-5", "GLM-5", "1", "3.2", "0.2", "0"), ("glm-5", "GLM-5", "1", "3.2", "0.2", "0"),
("glm-5.1", "GLM-5.1", "1.4", "4.4", "0.26", "0"), ("glm-5.1", "GLM-5.1", "1.4", "4.4", "0.26", "0"),
// MiMo (小米) // MiMo (小米)
@@ -1759,12 +1862,28 @@ impl Database {
"0.009", "0.009",
"0", "0",
), ),
("mimo-v2-pro", "MiMo V2 Pro", "1", "3", "0", "0"), ("mimo-v2-pro", "MiMo V2 Pro", "0.435", "0.87", "0.0036", "0"),
("mimo-v2.5", "MiMo V2.5", "0.09", "0.29", "0.009", "0"), ("mimo-v2.5", "MiMo V2.5", "0.14", "0.29", "0.0028", "0"),
("mimo-v2.5-pro", "MiMo V2.5 Pro", "1", "3", "0", "0"), (
"mimo-v2.5-pro",
"MiMo V2.5 Pro",
"0.435",
"0.87",
"0.0036",
"0",
),
// Qwen 系列 (阿里巴巴) // Qwen 系列 (阿里巴巴)
("qwen3.6-plus", "Qwen3.6 Plus", "0.325", "1.95", "0", "0"), ("qwen3.7-max", "Qwen3.7 Max", "2.50", "7.50", "0.25", "0"),
("qwen3.5-plus", "Qwen3.5 Plus", "0.26", "1.56", "0", "0"), ("qwen3.7-plus", "Qwen3.7 Plus", "0.40", "1.60", "0.08", "0"),
(
"qwen3.6-plus",
"Qwen3.6 Plus",
"0.325",
"1.95",
"0.065",
"0",
),
("qwen3.5-plus", "Qwen3.5 Plus", "0.26", "1.56", "0.052", "0"),
("qwen3-max", "Qwen3 Max", "0.78", "3.90", "0", "0"), ("qwen3-max", "Qwen3 Max", "0.78", "3.90", "0", "0"),
( (
"qwen3-235b-a22b", "qwen3-235b-a22b",
@@ -1779,7 +1898,7 @@ impl Database {
"Qwen3 Coder Plus", "Qwen3 Coder Plus",
"0.65", "0.65",
"3.25", "3.25",
"0", "0.13",
"0", "0",
), ),
( (
@@ -1803,7 +1922,7 @@ impl Database {
"Qwen3 Coder Flash", "Qwen3 Coder Flash",
"0.195", "0.195",
"0.975", "0.975",
"0", "0.039",
"0", "0",
), ),
( (
@@ -1818,19 +1937,20 @@ impl Database {
("qwq-32b", "QwQ 32B", "0.20", "0.60", "0", "0"), ("qwq-32b", "QwQ 32B", "0.20", "0.60", "0", "0"),
("qwen3-32b", "Qwen3 32B", "0.16", "0.64", "0", "0"), ("qwen3-32b", "Qwen3 32B", "0.16", "0.64", "0", "0"),
// Grok 系列 (xAI) // Grok 系列 (xAI)
("grok-4.3", "Grok 4.3", "1.25", "2.50", "0.20", "0"),
( (
"grok-4.20-0309-reasoning", "grok-4.20-0309-reasoning",
"Grok 4.20 Reasoning", "Grok 4.20 Reasoning",
"2", "1.25",
"6", "2.50",
"0.20", "0.20",
"0", "0",
), ),
( (
"grok-4.20-0309-non-reasoning", "grok-4.20-0309-non-reasoning",
"Grok 4.20", "Grok 4.20",
"2", "1.25",
"6", "2.50",
"0.20", "0.20",
"0", "0",
), ),
@@ -1863,6 +1983,38 @@ impl Database {
("grok-3", "Grok 3", "3", "15", "0.75", "0"), ("grok-3", "Grok 3", "3", "15", "0.75", "0"),
("grok-3-mini", "Grok 3 Mini", "0.25", "0.50", "0.075", "0"), ("grok-3-mini", "Grok 3 Mini", "0.25", "0.50", "0.075", "0"),
// Mistral 系列 // Mistral 系列
(
"mistral-medium-3.5",
"Mistral Medium 3.5",
"1.50",
"7.50",
"0",
"0",
),
(
"mistral-small-4",
"Mistral Small 4",
"0.10",
"0.30",
"0.01",
"0",
),
(
"devstral-small-2-2512",
"Devstral Small 2",
"0.10",
"0.30",
"0.01",
"0",
),
(
"magistral-small",
"Magistral Small",
"0.50",
"1.50",
"0",
"0",
),
("codestral-2508", "Codestral", "0.30", "0.90", "0.03", "0"), ("codestral-2508", "Codestral", "0.30", "0.90", "0.03", "0"),
( (
"devstral-small-1.1", "devstral-small-1.1",
@@ -1872,7 +2024,7 @@ impl Database {
"0.01", "0.01",
"0", "0",
), ),
("devstral-2-2512", "Devstral 2", "0.40", "0.90", "0.04", "0"), ("devstral-2-2512", "Devstral 2", "0.40", "2", "0.04", "0"),
( (
"devstral-medium", "devstral-medium",
"Devstral Medium", "Devstral Medium",
@@ -1953,6 +2105,225 @@ impl Database {
fn repair_current_model_pricing(conn: &Connection) -> Result<(), AppError> { fn repair_current_model_pricing(conn: &Connection) -> Result<(), AppError> {
let pricing_fixes = [ let pricing_fixes = [
// 2026-06-10 全量核价(厂商官方 list 价;CNY 按 ~7.14 折算)
// GLM 4.6/4.7:旧值是中转/OpenRouter 折扣价,统一到 Z.ai 官方(与 glm-5/5.1 一致)
(
"glm-4.7", "GLM-4.7", "0.6", "2.2", "0.11", "0", "0.39", "1.75", "0.04", "0",
),
(
"glm-4.6", "GLM-4.6", "0.6", "2.2", "0.11", "0", "0.28", "1.11", "0.03", "0",
),
// Grok 4.20xAI 已降价 2/6 → 1.25/2.50
(
"grok-4.20-0309-reasoning",
"Grok 4.20 Reasoning",
"1.25",
"2.50",
"0.20",
"0",
"2",
"6",
"0.20",
"0",
),
(
"grok-4.20-0309-non-reasoning",
"Grok 4.20",
"1.25",
"2.50",
"0.20",
"0",
"2",
"6",
"0.20",
"0",
),
// Kimi K2.5 官方 output 3.00
(
"kimi-k2.5",
"Kimi K2.5",
"0.60",
"3.00",
"0.10",
"0",
"0.60",
"2.50",
"0.10",
"0",
),
// MiniMax M2.5 input 0.15
(
"minimax-m2.5",
"MiniMax M2.5",
"0.15",
"0.95",
"0.03",
"0",
"0.12",
"0.95",
"0.03",
"0",
),
// Mistral Devstral 2 output 0.90 → 2(与同表 devstral-medium 一致)
(
"devstral-2-2512",
"Devstral 2",
"0.40",
"2",
"0.04",
"0",
"0.40",
"0.90",
"0.04",
"0",
),
// Doubao Seed 2.0lite 旧价贵 3-4 倍 + 全系补 cache 命中价
(
"doubao-seed-2-0-lite",
"Doubao Seed 2.0 Lite",
"0.08",
"0.50",
"0.017",
"0",
"0.25",
"2",
"0",
"0",
),
(
"doubao-seed-2-0-pro",
"Doubao Seed 2.0 Pro",
"0.47",
"2.37",
"0.09",
"0",
"0.47",
"2.37",
"0",
"0",
),
(
"doubao-seed-2-0-code",
"Doubao Seed 2.0 Code",
"0.47",
"2.37",
"0.09",
"0",
"0.47",
"2.37",
"0",
"0",
),
(
"doubao-seed-2-0-code-preview-latest",
"Doubao Seed 2.0 Code Preview",
"0.47",
"2.37",
"0.09",
"0",
"0.47",
"2.37",
"0",
"0",
),
(
"doubao-seed-2-0-mini",
"Doubao Seed 2.0 Mini",
"0.03",
"0.31",
"0.0056",
"0",
"0.03",
"0.31",
"0",
"0",
),
// MiMo:5/27 永久降价,旧值是旧价
(
"mimo-v2-pro",
"MiMo V2 Pro",
"0.435",
"0.87",
"0.0036",
"0",
"1",
"3",
"0",
"0",
),
(
"mimo-v2.5",
"MiMo V2.5",
"0.14",
"0.29",
"0.0028",
"0",
"0.09",
"0.29",
"0.009",
"0",
),
(
"mimo-v2.5-pro",
"MiMo V2.5 Pro",
"0.435",
"0.87",
"0.0036",
"0",
"1",
"3",
"0",
"0",
),
// Qwen:官方"隐式缓存 = 输入 20%"补 cache 命中价
(
"qwen3.6-plus",
"Qwen3.6 Plus",
"0.325",
"1.95",
"0.065",
"0",
"0.325",
"1.95",
"0",
"0",
),
(
"qwen3.5-plus",
"Qwen3.5 Plus",
"0.26",
"1.56",
"0.052",
"0",
"0.26",
"1.56",
"0",
"0",
),
(
"qwen3-coder-plus",
"Qwen3 Coder Plus",
"0.65",
"3.25",
"0.13",
"0",
"0.65",
"3.25",
"0",
"0",
),
(
"qwen3-coder-flash",
"Qwen3 Coder Flash",
"0.195",
"0.975",
"0.039",
"0",
"0.195",
"0.975",
"0",
"0",
),
( (
"deepseek-v4-flash", "deepseek-v4-flash",
"DeepSeek V4 Flash", "DeepSeek V4 Flash",
+81
View File
@@ -345,6 +345,87 @@ fn schema_migration_v4_adds_pricing_model_columns() {
); );
} }
#[test]
fn migration_v10_to_v11_rebuilds_rollups_with_request_model_dimension() {
let conn = Connection::open_in_memory().expect("open memory db");
// 模拟 v10 形状的 rollup 表(主键不含 request_model)+ 一行历史聚合数据,
// 以及 v10 形状的明细表(无 pricing_model 列)
conn.execute_batch(
r#"
CREATE TABLE proxy_request_logs (
request_id TEXT PRIMARY KEY,
model TEXT NOT NULL,
request_model TEXT
);
CREATE TABLE usage_daily_rollups (
date TEXT NOT NULL,
app_type TEXT NOT NULL,
provider_id TEXT NOT NULL,
model TEXT NOT NULL,
request_count INTEGER NOT NULL DEFAULT 0,
success_count INTEGER NOT NULL DEFAULT 0,
input_tokens INTEGER NOT NULL DEFAULT 0,
output_tokens INTEGER NOT NULL DEFAULT 0,
cache_read_tokens INTEGER NOT NULL DEFAULT 0,
cache_creation_tokens INTEGER NOT NULL DEFAULT 0,
total_cost_usd TEXT NOT NULL DEFAULT '0',
avg_latency_ms INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (date, app_type, provider_id, model)
);
INSERT INTO usage_daily_rollups
(date, app_type, provider_id, model, request_count, success_count,
input_tokens, output_tokens, total_cost_usd, avg_latency_ms)
VALUES ('2026-05-01', 'claude', 'p1', 'kimi-k2', 7, 7, 1000, 500, '0.07', 120);
"#,
)
.expect("seed v10 rollup table");
Database::set_user_version(&conn, 10).expect("set user_version=10");
Database::apply_schema_migrations_on_conn(&conn).expect("apply migrations");
// 新列存在且 NOT NULL DEFAULT ''
let request_model = get_column_info(&conn, "usage_daily_rollups", "request_model");
assert_eq!(request_model.r#type, "TEXT");
assert_eq!(request_model.notnull, 1);
let rollup_pricing_model = get_column_info(&conn, "usage_daily_rollups", "pricing_model");
assert_eq!(rollup_pricing_model.r#type, "TEXT");
assert_eq!(rollup_pricing_model.notnull, 1);
// 明细表补上 pricing_model 列(可空,历史行 NULL
let pricing_model = get_column_info(&conn, "proxy_request_logs", "pricing_model");
assert_eq!(pricing_model.r#type, "TEXT");
assert_eq!(pricing_model.notnull, 0);
// 历史行保留,request_model 填 ''(未知)
let (rm, count, input, cost): (String, i64, i64, String) = conn
.query_row(
"SELECT request_model, request_count, input_tokens, total_cost_usd
FROM usage_daily_rollups WHERE model = 'kimi-k2'",
[],
|row| Ok((row.get(0)?, row.get(1)?, row.get(2)?, row.get(3)?)),
)
.expect("migrated row");
assert_eq!(rm, "");
assert_eq!(count, 7);
assert_eq!(input, 1000);
assert_eq!(cost, "0.07");
// 主键包含 request_model:同 model 不同别名可共存
conn.execute(
"INSERT INTO usage_daily_rollups
(date, app_type, provider_id, model, request_model, request_count)
VALUES ('2026-05-01', 'claude', 'p1', 'kimi-k2', 'claude-sonnet-4-6', 1)",
[],
)
.expect("insert row with same model but different request_model");
assert_eq!(
Database::get_user_version(&conn).expect("version after migration"),
SCHEMA_VERSION
);
}
#[test] #[test]
fn schema_create_tables_repairs_legacy_proxy_config_singleton_to_per_app() { fn schema_create_tables_repairs_legacy_proxy_config_singleton_to_per_app() {
let conn = Connection::open_in_memory().expect("open memory db"); let conn = Connection::open_in_memory().expect("open memory db");
+253 -4
View File
@@ -116,10 +116,76 @@ pub fn read_hermes_config() -> Result<serde_yaml::Value, AppError> {
return Ok(serde_yaml::Value::Mapping(serde_yaml::Mapping::new())); return Ok(serde_yaml::Value::Mapping(serde_yaml::Mapping::new()));
} }
serde_yaml::from_str(&content) // Heal duplicate top-level keys left behind by the pre-CRLF-fix append
// bug (#3633); serde_yaml rejects them outright, which bricked the panel.
let deduped = deduplicate_top_level_keys(&content);
serde_yaml::from_str(&deduped)
.map_err(|e| AppError::Config(format!("Failed to parse Hermes config as YAML: {e}"))) .map_err(|e| AppError::Config(format!("Failed to parse Hermes config as YAML: {e}")))
} }
/// Remove duplicate top-level YAML sections, keeping the LAST occurrence of
/// each key.
///
/// Keep-last is deliberate, not arbitrary: the duplicates come from section
/// replacement degrading into appends (#3633), so the last block is the
/// newest data — and Hermes itself reads the file with PyYAML, whose
/// duplicate-key semantics are last-wins. Keeping the first occurrence would
/// silently roll the user back to stale config and diverge from what Hermes
/// actually runs with.
fn deduplicate_top_level_keys(raw: &str) -> String {
use std::collections::HashMap;
// Pass 1: locate every top-level key line as (key, byte offset).
let mut sections: Vec<(&str, usize)> = Vec::new();
let mut offset = 0;
for line in raw.split('\n') {
if is_top_level_key_line(line) {
if let Some(colon_pos) = line.find(':') {
sections.push((&line[..colon_pos], offset));
}
}
offset += line.len() + 1;
}
let mut remaining: HashMap<&str, usize> = HashMap::new();
for (key, _) in &sections {
*remaining.entry(key).or_insert(0) += 1;
}
if remaining.values().all(|&count| count <= 1) {
return raw.to_string();
}
// Pass 2: re-emit, dropping every section that has a later occurrence of
// the same key. A section spans from its key line to the next top-level
// key line (or EOF), matching find_yaml_section_range. Content before the
// first section (comments, document markers) is always kept.
let mut result = String::with_capacity(raw.len());
let head_end = sections
.first()
.map(|&(_, start)| start)
.unwrap_or(raw.len());
result.push_str(&raw[..head_end]);
for (i, &(key, start)) in sections.iter().enumerate() {
let end = sections
.get(i + 1)
.map(|&(_, next_start)| next_start)
.unwrap_or(raw.len());
let count = remaining.get_mut(key).expect("key collected in pass 1");
*count -= 1;
if *count > 0 {
log::warn!(
"Hermes config: dropped duplicate top-level section '{key}' (keeping the last occurrence)"
);
continue;
}
result.push_str(&raw[start..end]);
}
result
}
// ============================================================================ // ============================================================================
// YAML Section-Level Replacement // YAML Section-Level Replacement
// ============================================================================ // ============================================================================
@@ -132,6 +198,11 @@ pub fn read_hermes_config() -> Result<serde_yaml::Value, AppError> {
/// - Not be a comment (starting with `#`) /// - Not be a comment (starting with `#`)
/// - Not be a sequence item (starting with `-`) /// - Not be a sequence item (starting with `-`)
/// - Contain `:` followed by space, tab, newline, or end-of-line /// - Contain `:` followed by space, tab, newline, or end-of-line
///
/// Lines may carry a trailing `\r` (CRLF files split on `\n`) or `\n`
/// (callers using `split_inclusive`); both count as end-of-line after the
/// colon. Rejecting `\r` here used to make every section lookup miss on
/// CRLF configs, turning section replacement into endless appends (#3633).
fn is_top_level_key_line(line: &str) -> bool { fn is_top_level_key_line(line: &str) -> bool {
if line.is_empty() { if line.is_empty() {
return false; return false;
@@ -142,7 +213,7 @@ fn is_top_level_key_line(line: &str) -> bool {
} }
if let Some(colon_pos) = line.find(':') { if let Some(colon_pos) = line.find(':') {
let after_colon = &line[colon_pos + 1..]; let after_colon = &line[colon_pos + 1..];
after_colon.is_empty() || after_colon.starts_with(' ') || after_colon.starts_with('\t') after_colon.is_empty() || after_colon.starts_with([' ', '\t', '\r', '\n'])
} else { } else {
false false
} }
@@ -196,6 +267,21 @@ fn serialize_yaml_section(key: &str, value: &serde_yaml::Value) -> Result<String
Ok(yaml_str) Ok(yaml_str)
} }
/// Remove every top-level section with the given key from raw YAML text.
/// Used to clean residual duplicates of a key after replacing its first
/// occurrence; safe values come from the keep-last healed read, so dropping
/// all on-disk copies here loses nothing.
fn remove_all_sections(raw: &str, section_key: &str) -> String {
let mut result = String::with_capacity(raw.len());
let mut rest = raw;
while let Some((start, end)) = find_yaml_section_range(rest, section_key) {
result.push_str(&rest[..start]);
rest = &rest[end..];
}
result.push_str(rest);
result
}
/// Replace a YAML section in raw text, or append it if not found. /// Replace a YAML section in raw text, or append it if not found.
fn replace_yaml_section( fn replace_yaml_section(
raw: &str, raw: &str,
@@ -208,12 +294,14 @@ fn replace_yaml_section(
let mut result = String::with_capacity(raw.len()); let mut result = String::with_capacity(raw.len());
result.push_str(&raw[..start]); result.push_str(&raw[..start]);
result.push_str(&serialized); result.push_str(&serialized);
// Drop duplicate sections of this key from the remainder — configs
// written before the CRLF fix may carry several appended copies.
let remainder = remove_all_sections(&raw[end..], section_key);
// Ensure proper separation between sections // Ensure proper separation between sections
let remainder = &raw[end..];
if !serialized.ends_with('\n') && !remainder.is_empty() && !remainder.starts_with('\n') { if !serialized.ends_with('\n') && !remainder.is_empty() && !remainder.starts_with('\n') {
result.push('\n'); result.push('\n');
} }
result.push_str(remainder); result.push_str(&remainder);
Ok(result) Ok(result)
} else { } else {
// Section not found — append at end // Section not found — append at end
@@ -1204,6 +1292,111 @@ model:
assert!(!section.starts_with("model_extra:")); assert!(!section.starts_with("model_extra:"));
} }
#[test]
fn find_section_handles_crlf() {
// Regression for #3633: CRLF line endings must not hide sections.
let yaml = "model:\r\n default: gpt-4\r\nagent:\r\n max_turns: 10\r\n";
let (start, end) = find_yaml_section_range(yaml, "model").unwrap();
let section = &yaml[start..end];
assert!(section.starts_with("model:"));
assert!(section.contains("default: gpt-4"));
assert!(!section.contains("agent:"));
}
// ---- deduplicate_top_level_keys tests ----
#[test]
fn dedup_keeps_last_occurrence() {
// Duplicates come from replace-degraded-to-append, so the last block
// is the newest data and must win (PyYAML last-wins, like Hermes).
let yaml = "\
model:
default: gpt-4
agent:
max_turns: 10
model:
default: claude-opus-4-8
";
let result = deduplicate_top_level_keys(yaml);
assert_eq!(
result.lines().filter(|l| *l == "model:").count(),
1,
"duplicate model: section was not removed"
);
assert!(result.contains("claude-opus-4-8"));
assert!(!result.contains("gpt-4"));
assert!(result.contains("max_turns"));
}
#[test]
fn dedup_handles_crlf() {
let yaml = "model:\r\n default: gpt-4\r\nagent:\r\n max_turns: 10\r\nmodel:\r\n default: claude\r\n";
let result = deduplicate_top_level_keys(yaml);
assert_eq!(result.lines().filter(|l| l.trim() == "model:").count(), 1);
assert!(result.contains("default: claude"));
assert!(!result.contains("gpt-4"));
}
#[test]
fn dedup_is_identity_without_duplicates() {
let yaml = "\
# Hermes config
model:
default: gpt-4
agent:
max_turns: 10
";
assert_eq!(deduplicate_top_level_keys(yaml), yaml);
}
#[test]
fn dedup_result_parses_with_last_value() {
// End-to-end: a config that serde_yaml rejects today must parse after
// healing, and expose the newest (last) value.
let yaml = "\
custom_providers:
- name: old-provider
model:
default: gpt-4
custom_providers:
- name: old-provider
- name: new-provider
";
let healed = deduplicate_top_level_keys(yaml);
let value: serde_yaml::Value = serde_yaml::from_str(&healed).unwrap();
let providers = value
.get("custom_providers")
.unwrap()
.as_sequence()
.unwrap();
assert_eq!(providers.len(), 2);
assert_eq!(
providers[1].get("name").unwrap().as_str().unwrap(),
"new-provider"
);
}
// ---- remove_all_sections tests ----
#[test]
fn remove_all_sections_strips_every_occurrence() {
let yaml = "\
model:
default: gpt-4
agent:
max_turns: 10
model:
default: claude
model:
default: gemini
";
let result = remove_all_sections(yaml, "model");
assert!(!result.contains("model:"));
assert!(result.contains("agent:"));
assert!(result.contains("max_turns"));
}
// ---- replace_yaml_section tests ---- // ---- replace_yaml_section tests ----
#[test] #[test]
@@ -1239,6 +1432,62 @@ agent:
assert!(!result.contains("openai")); assert!(!result.contains("openai"));
} }
#[test]
fn replace_section_in_crlf_config_replaces_in_place() {
// Regression for #3633: on CRLF configs every "replace" used to
// degrade into an append, piling up duplicate sections.
let yaml = "model:\r\n default: gpt-4\r\nagent:\r\n max_turns: 10\r\n";
let new_model = serde_yaml::Value::Mapping({
let mut m = serde_yaml::Mapping::new();
m.insert(
serde_yaml::Value::String("default".to_string()),
serde_yaml::Value::String("claude-opus-4-8".to_string()),
);
m
});
let result = replace_yaml_section(yaml, "model", &new_model).unwrap();
assert_eq!(
result.lines().filter(|l| l.trim() == "model:").count(),
1,
"model: must be replaced in place, not appended"
);
assert!(result.contains("claude-opus-4-8"));
assert!(!result.contains("gpt-4"));
assert!(result.contains("max_turns"));
}
#[test]
fn replace_section_removes_residual_duplicates() {
// A config already broken by the append bug: replacing the section
// must also clean the stale duplicate copies after it.
let yaml = "\
model:
default: gpt-4
agent:
max_turns: 10
model:
default: stale-copy
";
let new_model = serde_yaml::Value::Mapping({
let mut m = serde_yaml::Mapping::new();
m.insert(
serde_yaml::Value::String("default".to_string()),
serde_yaml::Value::String("claude-opus-4-8".to_string()),
);
m
});
let result = replace_yaml_section(yaml, "model", &new_model).unwrap();
assert_eq!(result.lines().filter(|l| *l == "model:").count(), 1);
assert!(result.contains("claude-opus-4-8"));
assert!(!result.contains("stale-copy"));
assert!(result.contains("agent:"));
// The healed output must be valid YAML again
let parsed: Result<serde_yaml::Value, _> = serde_yaml::from_str(&result);
assert!(parsed.is_ok());
}
#[test] #[test]
fn append_new_section() { fn append_new_section() {
let yaml = "\ let yaml = "\
+140 -9
View File
@@ -600,6 +600,25 @@ pub fn run() {
log::warn!("✗ Codex provider template bucket migration failed: {e}"); log::warn!("✗ Codex provider template bucket migration failed: {e}");
} }
} }
// 统一会话开关的官方历史迁移:开关开启但上次未完成(如文件被占用
// 中途失败)时在启动期重试;函数内部自门控,开关关闭时直接跳过。
match crate::codex_history_migration::maybe_migrate_codex_official_history_to_unified_bucket() {
Ok(outcome) => {
if let Some(reason) = outcome.skipped_reason {
log::debug!("○ Codex official history unify migration skipped: {reason}");
} else {
log::info!(
"✓ Codex official history unify migration completed: jsonl_files={}, state_rows={}",
outcome.migrated_jsonl_files,
outcome.migrated_state_rows
);
}
}
Err(e) => {
log::warn!("✗ Codex official history unify migration failed: {e}");
}
}
}); });
} }
@@ -1156,6 +1175,8 @@ pub fn run() {
commands::read_live_provider_settings, commands::read_live_provider_settings,
commands::get_settings, commands::get_settings,
commands::save_settings, commands::save_settings,
commands::has_codex_unify_history_backup,
commands::restore_codex_unified_history,
commands::get_rectifier_config, commands::get_rectifier_config,
commands::set_rectifier_config, commands::set_rectifier_config,
commands::get_optimizer_config, commands::get_optimizer_config,
@@ -1165,6 +1186,7 @@ pub fn run() {
commands::get_log_config, commands::get_log_config,
commands::set_log_config, commands::set_log_config,
commands::restart_app, commands::restart_app,
commands::install_update_and_restart,
commands::check_for_updates, commands::check_for_updates,
commands::is_portable_mode, commands::is_portable_mode,
commands::copy_text_to_clipboard, commands::copy_text_to_clipboard,
@@ -1443,14 +1465,37 @@ pub fn run() {
app.run(|app_handle, event| { app.run(|app_handle, event| {
// 处理退出请求(所有平台) // 处理退出请求(所有平台)
if let RunEvent::ExitRequested { api, code, .. } = &event { if let RunEvent::ExitRequested { api, code, .. } = &event {
// code 为 None 表示运行时自动触发(如隐藏窗口的 WebView 被回收导致无存活窗口), match classify_exit_request(*code) {
// 此时应仅阻止退出、保持托盘后台运行; // code 为 None 表示运行时自动触发(如隐藏窗口的 WebView 被回收导致无存活窗口),
// code 为 Some(_) 表示用户主动调用 app.exit() 退出(如托盘菜单"退出"), // 此时应仅阻止退出、保持托盘后台运行。
// 此时执行清理后退出。 ExitRequestAction::StayInTray => {
if code.is_none() { log::info!("运行时触发退出请求(无存活窗口),阻止退出以保持托盘后台运行");
log::info!("运行时触发退出请求(无存活窗口),阻止退出以保持托盘后台运行"); api.prevent_exit();
api.prevent_exit(); return;
return; }
// code 为 RESTART_EXIT_CODEapp.restart() / 自更新 relaunch 发起的重启。
// 这条路径上 prevent_exit() 会被 Tauri 忽略,事件循环必定退出,随后由
// Tauri 在 RunEvent::Exit 后用新二进制 re-execmacOS 会按更新后的
// Info.plist 解析可执行名)。
//
// 绝不能复用下面的异步清理任务:该任务在 tokio 线程调 save_window_state
// 持有 window-state 插件锁的同时向主线程查询窗口几何;而主线程此刻正在
// 退出事件循环,并在插件自带的 RunEvent::Exit 钩子里等待同一把锁——双方
// 互等造成进程永久卡死(更新已安装但应用冻结、不再重启,见 #3998)。
//
// 重启路径交还 Tauri 默认流程即可:
// - 窗口状态:插件 Exit 钩子在主线程保存(同线程读取窗口几何,无死锁)
// - 托盘图标:Tauri 内部 cleanup_before_exit 清理,正常走 Drop
// - 代理/Live 配置:无需恢复,重启后新实例立即接管并恢复代理状态
// - 100ms 落盘等待:重启前的 DB 写入均为命令驱动、此刻已完成,
// 与所有 Tauri 应用默认重启路径的行为一致,无需额外等待
ExitRequestAction::DeferToTauriRestart => {
log::info!("收到重启请求 (code={code:?}),交由 Tauri 默认重启流程 re-exec");
return;
}
// 其它 Some(_):用户主动调用 app.exit() 退出(如托盘菜单"退出"),
// 此时执行清理后退出。
ExitRequestAction::CleanupAndExit => {}
} }
log::info!("收到用户主动退出请求 (code={code:?}),开始清理..."); log::info!("收到用户主动退出请求 (code={code:?}),开始清理...");
@@ -1622,7 +1667,7 @@ pub async fn cleanup_before_exit(app_handle: &tauri::AppHandle) {
/// 触发 tray-icon 内部的 `remove_tray_icon` → `Shell_NotifyIconW(NIM_DELETE)` /// 触发 tray-icon 内部的 `remove_tray_icon` → `Shell_NotifyIconW(NIM_DELETE)`
/// 在进程结束前干净地把图标摘掉。其它平台 `set_visible(false)` 也是 /// 在进程结束前干净地把图标摘掉。其它平台 `set_visible(false)` 也是
/// 正常的隐藏/移除语义,作为跨平台兜底也安全。 /// 正常的隐藏/移除语义,作为跨平台兜底也安全。
fn remove_tray_icon_before_exit(app_handle: &tauri::AppHandle) { pub(crate) fn remove_tray_icon_before_exit(app_handle: &tauri::AppHandle) {
if let Some(tray) = app_handle.tray_by_id(tray::TRAY_ID) { if let Some(tray) = app_handle.tray_by_id(tray::TRAY_ID) {
if let Err(e) = tray.set_visible(false) { if let Err(e) = tray.set_visible(false) {
log::warn!("退出时移除托盘图标失败: {e}"); log::warn!("退出时移除托盘图标失败: {e}");
@@ -1891,6 +1936,36 @@ fn show_database_init_error_dialog(
.blocking_show() .blocking_show()
} }
// ============================================================
// 退出请求分类
// ============================================================
/// `RunEvent::ExitRequested` 的三类来源,处理方式必须区分。
///
/// 关键约束:重启请求(`code == RESTART_EXIT_CODE`)上 `prevent_exit()` 会被
/// Tauri 静默忽略(见 `ExitRequestApi::prevent_exit` 文档),事件循环必定继续
/// 退出并触发各插件的 `RunEvent::Exit` 钩子;任何与之并发的自定义清理任务都
/// 可能与插件退出钩子争用同一状态而死锁。
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
enum ExitRequestAction {
/// `code` 为 `None`:运行时自动触发(如隐藏窗口的 WebView 被回收导致无存活
/// 窗口),阻止退出、保持托盘后台运行。
StayInTray,
/// `code` 为 `RESTART_EXIT_CODE``app.restart()` / 自更新 relaunch 发起的
/// 重启,不拦截、不做自定义清理,交还 Tauri 默认 re-exec 流程。
DeferToTauriRestart,
/// 其它 `Some(_)`:用户主动退出(托盘「退出」等),执行完整异步清理后结束进程。
CleanupAndExit,
}
fn classify_exit_request(code: Option<i32>) -> ExitRequestAction {
match code {
None => ExitRequestAction::StayInTray,
Some(tauri::RESTART_EXIT_CODE) => ExitRequestAction::DeferToTauriRestart,
Some(_) => ExitRequestAction::CleanupAndExit,
}
}
// ============================================================ // ============================================================
// 在应用主动退出前显式持久化窗口状态 // 在应用主动退出前显式持久化窗口状态
// ============================================================ // ============================================================
@@ -1908,3 +1983,59 @@ pub fn save_window_state_before_exit(app_handle: &tauri::AppHandle) {
log::info!("已在退出前保存窗口状态"); log::info!("已在退出前保存窗口状态");
} }
} }
/// 主动释放 single-instance 锁。
///
/// macOS single-instance 使用 `/tmp/{identifier}.sock`。我们有若干路径会直接
/// `std::process::exit(0)`,不会触发插件挂在 `RunEvent::Exit` 上的清理钩子。
/// 重启前主动 destroy 可以避免新进程误连旧 listener 后自行退出。
pub fn destroy_single_instance_lock(app_handle: &tauri::AppHandle) {
#[cfg(any(target_os = "macos", target_os = "windows", target_os = "linux"))]
tauri_plugin_single_instance::destroy(app_handle);
}
/// 清理托盘图标、释放 single-instance 锁后重启当前应用。
///
/// 直接走 `tauri::process::restart`spawn 新进程 + `exit(0)`),不经过事件
/// 循环退出,因此 Tauri 内部的 `cleanup_before_exit` 和各插件的
/// `RunEvent::Exit` 钩子都不会执行。需要的清理由调用方与本函数显式补偿:
/// 窗口状态、代理/Live 恢复(调用方);托盘图标、single-instance 锁(本函数)。
///
/// 有意不调 `AppHandle::cleanup_before_exit()`:它会在调用线程上 Drop 托盘
/// 图标,而 macOS 的 NSStatusItem 操作要求主线程;`set_visible(false)` 走
/// `run_item_main_thread` 代理,跨线程安全(见 `remove_tray_icon_before_exit`)。
pub fn restart_process(app_handle: &tauri::AppHandle) -> ! {
remove_tray_icon_before_exit(app_handle);
destroy_single_instance_lock(app_handle);
tauri::process::restart(&app_handle.env());
}
#[cfg(test)]
mod tests {
use super::{classify_exit_request, ExitRequestAction};
#[test]
fn no_code_keeps_app_alive_in_tray() {
assert_eq!(classify_exit_request(None), ExitRequestAction::StayInTray);
}
#[test]
fn restart_exit_code_defers_to_tauri_default_restart() {
assert_eq!(
classify_exit_request(Some(tauri::RESTART_EXIT_CODE)),
ExitRequestAction::DeferToTauriRestart
);
}
#[test]
fn user_exit_codes_run_cleanup_then_exit() {
assert_eq!(
classify_exit_request(Some(0)),
ExitRequestAction::CleanupAndExit
);
assert_eq!(
classify_exit_request(Some(1)),
ExitRequestAction::CleanupAndExit
);
}
}
+37 -14
View File
@@ -1,3 +1,4 @@
use http::header::{HeaderValue, InvalidHeaderValue};
use indexmap::IndexMap; use indexmap::IndexMap;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use serde_json::Value; use serde_json::Value;
@@ -108,17 +109,13 @@ impl Provider {
.unwrap_or(false) .unwrap_or(false)
} }
/// Resolve `(base_url, api_key)` for native usage queries (balance / /// Resolve `(base_url, api_key)` for usage queries (native balance /
/// coding-plan) from the stored provider config. /// coding-plan and the JS-script `{{apiKey}}`/`{{baseUrl}}` fallback)
/// from the stored provider config.
/// ///
/// Each app persists credentials in a different shape, so callers must pass /// Each app persists credentials in a different shape, so callers must pass
/// the owning app type. This mirrors the frontend `getProviderCredentials` /// the owning app type. This mirrors the frontend `getProviderCredentials`
/// in `UsageScriptModal.tsx`. /// in `UsageScriptModal.tsx`.
///
/// TODO: the env-only helpers in `services/provider/usage.rs`
/// (`extract_api_key_from_provider` / `extract_base_url_from_provider`)
/// duplicate this per-app logic on the JS-script path and could delegate
/// here in a follow-up to remove the remaining copy.
pub fn resolve_usage_credentials( pub fn resolve_usage_credentials(
&self, &self,
app_type: &crate::app_config::AppType, app_type: &crate::app_config::AppType,
@@ -290,21 +287,15 @@ pub struct UsageResult {
pub error: Option<String>, pub error: Option<String>,
} }
/// 供应商单独的模型测试配置 /// 供应商单独的连通检测配置
#[derive(Debug, Clone, Serialize, Deserialize, Default)] #[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ProviderTestConfig { pub struct ProviderTestConfig {
/// 是否启用单独配置(false 时使用全局配置) /// 是否启用单独配置(false 时使用全局配置)
#[serde(default)] #[serde(default)]
pub enabled: bool, pub enabled: bool,
/// 测试用的模型名称(覆盖全局配置)
#[serde(rename = "testModel", skip_serializing_if = "Option::is_none")]
pub test_model: Option<String>,
/// 超时时间(秒) /// 超时时间(秒)
#[serde(rename = "timeoutSecs", skip_serializing_if = "Option::is_none")] #[serde(rename = "timeoutSecs", skip_serializing_if = "Option::is_none")]
pub timeout_secs: Option<u64>, pub timeout_secs: Option<u64>,
/// 测试提示词
#[serde(rename = "testPrompt", skip_serializing_if = "Option::is_none")]
pub test_prompt: Option<String>,
/// 降级阈值(毫秒) /// 降级阈值(毫秒)
#[serde( #[serde(
rename = "degradedThresholdMs", rename = "degradedThresholdMs",
@@ -464,6 +455,9 @@ pub struct ProviderMeta {
/// Codex Responses -> Chat Completions reasoning capability metadata. /// Codex Responses -> Chat Completions reasoning capability metadata.
#[serde(rename = "codexChatReasoning", skip_serializing_if = "Option::is_none")] #[serde(rename = "codexChatReasoning", skip_serializing_if = "Option::is_none")]
pub codex_chat_reasoning: Option<CodexChatReasoningConfig>, pub codex_chat_reasoning: Option<CodexChatReasoningConfig>,
/// Custom User-Agent for local proxy routing.
#[serde(rename = "customUserAgent", skip_serializing_if = "Option::is_none")]
pub custom_user_agent: Option<String>,
/// 累加模式应用中,该 provider 是否已写入 live config。 /// 累加模式应用中,该 provider 是否已写入 live config。
/// `None` 表示旧数据/未知状态,`Some(false)` 表示明确仅存在于数据库中。 /// `None` 表示旧数据/未知状态,`Some(false)` 表示明确仅存在于数据库中。
#[serde(rename = "liveConfigManaged", skip_serializing_if = "Option::is_none")] #[serde(rename = "liveConfigManaged", skip_serializing_if = "Option::is_none")]
@@ -478,6 +472,30 @@ pub struct ProviderMeta {
pub github_account_id: Option<String>, pub github_account_id: Option<String>,
} }
/// 解析 Provider 级自定义 User-Agent 字符串(单一真理来源)。
///
/// 转发(forwarder)、流式检测(stream_check)、获取模型列表(model_fetch)三条路径
/// 共用同一口径,避免出现"某条路径用了 UA、另一条没用 / 报错"的不一致。
///
/// 合法性由 `http::HeaderValue::from_str` 按**字节**判定(`b >= 32 && b != 127 || b == '\t'`),
/// 与前端 `src/lib/userAgent.ts::isValidUserAgentHeader` 严格一致:
/// - `Ok(None)`:未设置或纯空白(trim 后为空)。
/// - `Ok(Some(hv))`:合法。制表符、可见 ASCII(0x20–0x7E)、以及任意非 ASCII 字符
/// UTF-8 字节均 ≥ 0x80)都合法。
/// - `Err(_)`:仅含控制字符时——除 `\t` 外的 0x000x1F(含换行)与 0x7FDEL)。
///
/// 非法值的处理:三条运行时路径**均静默忽略**`.ok().flatten()`,绝不让某条路径报错而
/// 另一条放行);前端在输入框处给出非阻断提示。当前**不在保存时阻断**——deeplink 导入等
/// 非表单路径应宽容,运行时静默忽略即为安全网。
pub fn parse_custom_user_agent(
raw: Option<&str>,
) -> Result<Option<HeaderValue>, InvalidHeaderValue> {
match raw.map(str::trim).filter(|s| !s.is_empty()) {
Some(ua) => HeaderValue::from_str(ua).map(Some),
None => Ok(None),
}
}
impl ProviderMeta { impl ProviderMeta {
/// Codex OAuth FAST mode 是否启用。默认关闭,因为 `service_tier="priority"` /// Codex OAuth FAST mode 是否启用。默认关闭,因为 `service_tier="priority"`
/// 会按更高速率消耗 ChatGPT 订阅配额,用户需显式开启以换取更低延迟。 /// 会按更高速率消耗 ChatGPT 订阅配额,用户需显式开启以换取更低延迟。
@@ -485,6 +503,11 @@ impl ProviderMeta {
self.codex_fast_mode.unwrap_or(false) self.codex_fast_mode.unwrap_or(false)
} }
/// 经校验的 Provider 级自定义 User-Agent。见 [`parse_custom_user_agent`]。
pub fn custom_user_agent_header(&self) -> Result<Option<HeaderValue>, InvalidHeaderValue> {
parse_custom_user_agent(self.custom_user_agent.as_deref())
}
/// 解析指定托管认证供应商绑定的账号 ID。 /// 解析指定托管认证供应商绑定的账号 ID。
/// ///
/// 新版优先读取 authBinding,旧版继续兼容 githubAccountId。 /// 新版优先读取 authBinding,旧版继续兼容 githubAccountId。
+100 -8
View File
@@ -38,6 +38,11 @@ pub struct ForwardResult {
pub response: ProxyResponse, pub response: ProxyResponse,
pub provider: Provider, pub provider: Provider,
pub claude_api_format: Option<String>, pub claude_api_format: Option<String>,
/// 实际发往上游的模型名(路由接管/模型映射后的真值)。
///
/// usage 归因不能依赖 ctx.request_model(映射前的客户端别名):上游响应
/// 缺失 model 或回显别名时,接管流量会被记成 claude-* 并按其定价计费。
pub outbound_model: Option<String>,
/// 活跃连接 RAII guard:随响应一起流转到 response_processor / handle_claude_transform /// 活跃连接 RAII guard:随响应一起流转到 response_processor / handle_claude_transform
/// 最终被 move 进流式 body future(或非流式响应作用域),覆盖整个响应生命周期。 /// 最终被 move 进流式 body future(或非流式响应作用域),覆盖整个响应生命周期。
pub(crate) connection_guard: Option<ActiveConnectionGuard>, pub(crate) connection_guard: Option<ActiveConnectionGuard>,
@@ -159,7 +164,7 @@ impl RequestForwarder {
provider_body: &Value, provider_body: &Value,
error: &ProxyError, error: &ProxyError,
) -> bool { ) -> bool {
adapter_name == "Claude" matches!(adapter_name, "Claude" | "Codex")
&& self.rectifier_config.enabled && self.rectifier_config.enabled
&& self.rectifier_config.request_media_fallback && self.rectifier_config.request_media_fallback
&& !already_retried && !already_retried
@@ -463,7 +468,7 @@ impl RequestForwarder {
) )
.await .await
{ {
Ok((response, claude_api_format)) => { Ok((response, claude_api_format, outbound_model)) => {
// 成功:普通闭合熔断状态异步记录,避免阻塞流式首包返回; // 成功:普通闭合熔断状态异步记录,避免阻塞流式首包返回;
// HalfOpen 探测仍同步等待,保证 permit 与熔断状态及时释放。 // HalfOpen 探测仍同步等待,保证 permit 与熔断状态及时释放。
self.record_success_result(&provider.id, app_type_str, used_half_open_permit) self.record_success_result(&provider.id, app_type_str, used_half_open_permit)
@@ -511,6 +516,7 @@ impl RequestForwarder {
response, response,
provider: provider.clone(), provider: provider.clone(),
claude_api_format, claude_api_format,
outbound_model,
connection_guard: None, connection_guard: None,
}); });
} }
@@ -561,7 +567,7 @@ impl RequestForwarder {
) )
.await .await
{ {
Ok((response, claude_api_format)) => { Ok((response, claude_api_format, outbound_model)) => {
log::info!( log::info!(
"[{app_type_str}] [Media] Unsupported-image retry succeeded" "[{app_type_str}] [Media] Unsupported-image retry succeeded"
); );
@@ -613,6 +619,7 @@ impl RequestForwarder {
response, response,
provider: provider.clone(), provider: provider.clone(),
claude_api_format, claude_api_format,
outbound_model,
connection_guard: None, connection_guard: None,
}); });
} }
@@ -706,7 +713,7 @@ impl RequestForwarder {
) )
.await .await
{ {
Ok((response, claude_api_format)) => { Ok((response, claude_api_format, outbound_model)) => {
log::info!("[{app_type_str}] [RECT-002] 整流重试成功"); log::info!("[{app_type_str}] [RECT-002] 整流重试成功");
self.record_success_result( self.record_success_result(
&provider.id, &provider.id,
@@ -761,6 +768,7 @@ impl RequestForwarder {
response, response,
provider: provider.clone(), provider: provider.clone(),
claude_api_format, claude_api_format,
outbound_model,
connection_guard: None, connection_guard: None,
}); });
} }
@@ -871,7 +879,7 @@ impl RequestForwarder {
) )
.await .await
{ {
Ok((response, claude_api_format)) => { Ok((response, claude_api_format, outbound_model)) => {
log::info!("[{app_type_str}] [RECT-011] budget 整流重试成功"); log::info!("[{app_type_str}] [RECT-011] budget 整流重试成功");
self.record_success_result( self.record_success_result(
&provider.id, &provider.id,
@@ -920,6 +928,7 @@ impl RequestForwarder {
response, response,
provider: provider.clone(), provider: provider.clone(),
claude_api_format, claude_api_format,
outbound_model,
connection_guard: None, connection_guard: None,
}); });
} }
@@ -1077,6 +1086,9 @@ impl RequestForwarder {
} }
/// 转发单个请求(使用适配器) /// 转发单个请求(使用适配器)
///
/// 成功时返回 `(response, claude_api_format, outbound_model)`,其中
/// `outbound_model` 是最终发往上游的模型名(所有映射/改写之后)。
#[allow(clippy::too_many_arguments)] #[allow(clippy::too_many_arguments)]
async fn forward( async fn forward(
&self, &self,
@@ -1088,7 +1100,7 @@ impl RequestForwarder {
headers: &axum::http::HeaderMap, headers: &axum::http::HeaderMap,
extensions: &Extensions, extensions: &Extensions,
adapter: &dyn ProviderAdapter, adapter: &dyn ProviderAdapter,
) -> Result<(ProxyResponse, Option<String>), ProxyError> { ) -> Result<(ProxyResponse, Option<String>, Option<String>), ProxyError> {
// 使用适配器提取 base_url // 使用适配器提取 base_url
let mut base_url = adapter.extract_base_url(provider)?; let mut base_url = adapter.extract_base_url(provider)?;
@@ -1320,8 +1332,17 @@ impl RequestForwarder {
adapter.build_url(&base_url, &effective_endpoint) adapter.build_url(&base_url, &effective_endpoint)
}; };
// 记录映射后的出站模型名(此时 mapped_body 已完成接管映射 / [1m] 剥离 /
// Copilot 归一化)。格式转换后若 body 仍带 model 字段会在下方刷新覆盖;
// gemini_native 等模型在 URL 中的格式则保留此处的转换前真值。
let mut outbound_model = mapped_body
.get("model")
.and_then(|m| m.as_str())
.filter(|m| !m.is_empty())
.map(str::to_string);
// 转换请求体(如果需要) // 转换请求体(如果需要)
let request_body = if codex_responses_to_chat { let mut request_body = if codex_responses_to_chat {
let mut mapped_body = mapped_body; let mut mapped_body = mapped_body;
let restored = self let restored = self
.codex_chat_history .codex_chat_history
@@ -1359,9 +1380,21 @@ impl RequestForwarder {
mapped_body mapped_body
}; };
if matches!(app_type, AppType::Codex) {
self.apply_media_prevention(&mut request_body, provider);
}
// 过滤私有参数(以 `_` 开头的字段),防止内部信息泄露到上游 // 过滤私有参数(以 `_` 开头的字段),防止内部信息泄露到上游
// 默认使用空白名单,过滤所有 _ 前缀字段 // 默认使用空白名单,过滤所有 _ 前缀字段
let filtered_body = prepare_upstream_request_body(request_body); let filtered_body = prepare_upstream_request_body(request_body);
// 出站 body 定稿后刷新真值(覆盖 Codex chat 上游模型覆写、转换层模型改写)
if let Some(m) = filtered_body
.get("model")
.and_then(|m| m.as_str())
.filter(|m| !m.is_empty())
{
outbound_model = Some(m.to_string());
}
log_prompt_cache_trace( log_prompt_cache_trace(
app_type, app_type,
provider, provider,
@@ -1504,6 +1537,18 @@ impl RequestForwarder {
Vec::new() Vec::new()
}; };
// 自定义 User-Agent:与 stream_check / model_fetch 共用 parse_custom_user_agent
// 运行时静默忽略非法值(前端在输入处给非阻断提示,不在保存时阻断)。
// Copilot 指纹 UA 不可覆盖。
let custom_user_agent = if is_copilot {
None
} else {
provider
.meta
.as_ref()
.and_then(|meta| meta.custom_user_agent_header().ok().flatten())
};
// --- Copilot 优化器:动态 header 注入 --- // --- Copilot 优化器:动态 header 注入 ---
if let Some((ref classification, ref det_request_id, ref interaction_id)) = if let Some((ref classification, ref det_request_id, ref interaction_id)) =
copilot_optimization copilot_optimization
@@ -1598,6 +1643,7 @@ impl RequestForwarder {
let mut ordered_headers = http::HeaderMap::new(); let mut ordered_headers = http::HeaderMap::new();
let mut saw_auth = false; let mut saw_auth = false;
let mut saw_accept_encoding = false; let mut saw_accept_encoding = false;
let mut saw_user_agent = false;
let mut saw_anthropic_beta = false; let mut saw_anthropic_beta = false;
let mut saw_anthropic_version = false; let mut saw_anthropic_version = false;
@@ -1678,6 +1724,19 @@ impl RequestForwarder {
continue; continue;
} }
// --- user-agent: provider-level override for local proxy routing ---
if !is_copilot && key_str.eq_ignore_ascii_case("user-agent") {
if !saw_user_agent {
saw_user_agent = true;
if let Some(ref ua) = custom_user_agent {
ordered_headers.append(http::header::USER_AGENT, ua.clone());
} else {
ordered_headers.append(key.clone(), value.clone());
}
}
continue;
}
// --- anthropic-beta — 用重建值替换(确保含 claude-code 标记) --- // --- anthropic-beta — 用重建值替换(确保含 claude-code 标记) ---
if key_str.eq_ignore_ascii_case("anthropic-beta") { if key_str.eq_ignore_ascii_case("anthropic-beta") {
if !saw_anthropic_beta { if !saw_anthropic_beta {
@@ -1727,6 +1786,12 @@ impl RequestForwarder {
); );
} }
if !saw_user_agent {
if let Some(ref ua) = custom_user_agent {
ordered_headers.append(http::header::USER_AGENT, ua.clone());
}
}
// 如果原始请求中没有 anthropic-beta 且有值需要添加,追加 // 如果原始请求中没有 anthropic-beta 且有值需要添加,追加
if !saw_anthropic_beta { if !saw_anthropic_beta {
if let Some(ref beta_val) = anthropic_beta_value { if let Some(ref beta_val) = anthropic_beta_value {
@@ -1874,7 +1939,7 @@ impl RequestForwarder {
let response = self let response = self
.prepare_success_response_for_failover(response, request_is_streaming) .prepare_success_response_for_failover(response, request_is_streaming)
.await?; .await?;
Ok((response, resolved_claude_api_format)) Ok((response, resolved_claude_api_format, outbound_model))
} else { } else {
let status_code = status.as_u16(); let status_code = status.as_u16();
let body_text = String::from_utf8(response.bytes().await?.to_vec()).ok(); let body_text = String::from_utf8(response.bytes().await?.to_vec()).ok();
@@ -3298,6 +3363,18 @@ mod tests {
}) })
} }
fn body_with_codex_input_image(model: &str) -> Value {
json!({
"model": model,
"input": [{
"role": "user",
"content": [
{ "type": "input_image", "image_url": "data:image/png;base64,abc" }
]
}]
})
}
fn image_unsupported_error() -> ProxyError { fn image_unsupported_error() -> ProxyError {
ProxyError::UpstreamError { ProxyError::UpstreamError {
status: 400, status: 400,
@@ -3385,6 +3462,21 @@ mod tests {
assert!(fwd.media_retry_should_trigger("Claude", false, &body, &image_unsupported_error())); assert!(fwd.media_retry_should_trigger("Claude", false, &body, &image_unsupported_error()));
} }
#[test]
fn reactive_triggers_for_codex_image_url_deserialize_errors() {
let fwd = forwarder_with_rectifier(RectifierConfig::default());
let body = body_with_codex_input_image("deepseek-v4-flash");
let error = ProxyError::UpstreamError {
status: 400,
body: Some(
r#"{"error":{"message":"Failed to deserialize the JSON body into the target type: messages[11]: unknown variant image_url, expected text"}}"#
.to_string(),
),
};
assert!(fwd.media_retry_should_trigger("Codex", false, &body, &error));
}
#[test] #[test]
fn reactive_skipped_when_media_fallback_off() { fn reactive_skipped_when_media_fallback_off() {
// 关闭 request_media_fallback:上游报图片错误也不触发兜底重试。 // 关闭 request_media_fallback:上游报图片错误也不触发兜底重试。
+23 -15
View File
@@ -60,37 +60,40 @@ fn gemini_stream_usage_event_filter(data: &str) -> bool {
// ============================================================================ // ============================================================================
/// Claude 流式响应模型提取(优先使用 usage.model /// Claude 流式响应模型提取(优先使用 usage.model
fn claude_model_extractor(events: &[Value], request_model: &str) -> String { ///
/// 空字符串模型名视为缺失(转换层对无回显上游会合成 model:""),
/// 落到 fallback_model(映射后的出站模型或客户端请求模型)。
fn claude_model_extractor(events: &[Value], fallback_model: &str) -> String {
// 首先尝试从解析的 usage 中获取模型 // 首先尝试从解析的 usage 中获取模型
if let Some(usage) = TokenUsage::from_claude_stream_events(events) { if let Some(usage) = TokenUsage::from_claude_stream_events(events) {
if let Some(model) = usage.model { if let Some(model) = usage.model.filter(|m| !m.is_empty()) {
return model; return model;
} }
} }
request_model.to_string() fallback_model.to_string()
} }
/// OpenAI Chat Completions 流式响应模型提取(优先使用 usage.model /// OpenAI Chat Completions 流式响应模型提取(优先使用 usage.model
fn openai_model_extractor(events: &[Value], request_model: &str) -> String { fn openai_model_extractor(events: &[Value], fallback_model: &str) -> String {
// 首先尝试从解析的 usage 中获取模型 // 首先尝试从解析的 usage 中获取模型
if let Some(usage) = TokenUsage::from_openai_stream_events(events) { if let Some(usage) = TokenUsage::from_openai_stream_events(events) {
if let Some(model) = usage.model { if let Some(model) = usage.model.filter(|m| !m.is_empty()) {
return model; return model;
} }
} }
// 回退:从事件中直接提取 // 回退:从事件中直接提取
events events
.iter() .iter()
.find_map(|e| e.get("model")?.as_str()) .find_map(|e| e.get("model")?.as_str().filter(|m| !m.is_empty()))
.unwrap_or(request_model) .unwrap_or(fallback_model)
.to_string() .to_string()
} }
/// Codex 智能流式响应模型提取(自动检测格式) /// Codex 智能流式响应模型提取(自动检测格式)
fn codex_auto_model_extractor(events: &[Value], request_model: &str) -> String { fn codex_auto_model_extractor(events: &[Value], fallback_model: &str) -> String {
// 首先尝试从解析的 usage 中获取模型 // 首先尝试从解析的 usage 中获取模型
if let Some(usage) = TokenUsage::from_codex_stream_events_auto(events) { if let Some(usage) = TokenUsage::from_codex_stream_events_auto(events) {
if let Some(model) = usage.model { if let Some(model) = usage.model.filter(|m| !m.is_empty()) {
return model; return model;
} }
} }
@@ -99,28 +102,33 @@ fn codex_auto_model_extractor(events: &[Value], request_model: &str) -> String {
.iter() .iter()
.find_map(|e| { .find_map(|e| {
if e.get("type")?.as_str()? == "response.completed" { if e.get("type")?.as_str()? == "response.completed" {
e.get("response")?.get("model")?.as_str() e.get("response")?
.get("model")?
.as_str()
.filter(|m| !m.is_empty())
} else { } else {
None None
} }
}) })
.or_else(|| { .or_else(|| {
// 再回退:从 OpenAI 格式事件中提取 // 再回退:从 OpenAI 格式事件中提取
events.iter().find_map(|e| e.get("model")?.as_str()) events
.iter()
.find_map(|e| e.get("model")?.as_str().filter(|m| !m.is_empty()))
}) })
.unwrap_or(request_model) .unwrap_or(fallback_model)
.to_string() .to_string()
} }
/// Gemini 流式响应模型提取(优先使用 usage.model /// Gemini 流式响应模型提取(优先使用 usage.model
fn gemini_model_extractor(events: &[Value], request_model: &str) -> String { fn gemini_model_extractor(events: &[Value], fallback_model: &str) -> String {
// 首先尝试从解析的 usage 中获取模型 // 首先尝试从解析的 usage 中获取模型
if let Some(usage) = TokenUsage::from_gemini_stream_chunks(events) { if let Some(usage) = TokenUsage::from_gemini_stream_chunks(events) {
if let Some(model) = usage.model { if let Some(model) = usage.model.filter(|m| !m.is_empty()) {
return model; return model;
} }
} }
request_model.to_string() fallback_model.to_string()
} }
// ============================================================================ // ============================================================================
+6
View File
@@ -48,6 +48,11 @@ pub struct RequestContext {
pub current_provider_id: String, pub current_provider_id: String,
/// 请求中的模型名称 /// 请求中的模型名称
pub request_model: String, pub request_model: String,
/// 实际发往上游的模型名(路由接管/模型映射后的真值,forward 成功后回填)。
///
/// usage 归因的兜底顺序:上游响应回显 → outbound_model → request_model。
/// 不能直接用 request_model 兜底:接管场景下它是映射前的客户端别名。
pub outbound_model: Option<String>,
/// 日志标签(如 "Claude"、"Codex"、"Gemini" /// 日志标签(如 "Claude"、"Codex"、"Gemini"
pub tag: &'static str, pub tag: &'static str,
/// 应用类型字符串(如 "claude"、"codex"、"gemini" /// 应用类型字符串(如 "claude"、"codex"、"gemini"
@@ -159,6 +164,7 @@ impl RequestContext {
providers, providers,
current_provider_id, current_provider_id,
request_model, request_model,
outbound_model: None,
tag, tag,
app_type_str, app_type_str,
app_type, app_type,
File diff suppressed because it is too large Load Diff
+155 -27
View File
@@ -41,14 +41,7 @@ pub fn replace_images_for_text_only_model(
} }
pub fn contains_image_blocks(body: &Value) -> bool { pub fn contains_image_blocks(body: &Value) -> bool {
body.get("messages") messages_have_image_blocks(body) || responses_input_has_image_blocks(body.get("input"))
.and_then(Value::as_array)
.is_some_and(|messages| {
messages
.iter()
.filter_map(|message| message.get("content"))
.any(content_has_image_blocks)
})
} }
pub fn replace_image_blocks_with_marker(body: &mut Value) -> usize { pub fn replace_image_blocks_with_marker(body: &mut Value) -> usize {
@@ -95,6 +88,7 @@ pub fn is_unsupported_image_error(error: &ProxyError) -> bool {
"text-only", "text-only",
"invalid content type", "invalid content type",
"invalid message content", "invalid message content",
"unknown variant",
"unknown content type", "unknown content type",
"unrecognized content type", "unrecognized content type",
"cannot process", "cannot process",
@@ -113,51 +107,124 @@ fn content_has_image_blocks(content: &Value) -> bool {
}; };
blocks.iter().any(|block| { blocks.iter().any(|block| {
block.get("type").and_then(Value::as_str) == Some("image") is_image_block_type(block.get("type").and_then(Value::as_str))
|| block.get("content").is_some_and(content_has_image_blocks) || block.get("content").is_some_and(content_has_image_blocks)
}) })
} }
fn replace_images_in_body(body: &mut Value) -> usize { fn replace_images_in_body(body: &mut Value) -> usize {
let Some(messages) = body.get_mut("messages").and_then(Value::as_array_mut) else { let message_replacements = body
return 0; .get_mut("messages")
}; .and_then(Value::as_array_mut)
.map(|messages| {
messages
.iter_mut()
.filter_map(|message| message.get_mut("content"))
.map(replace_images_in_content)
.sum()
})
.unwrap_or(0);
messages message_replacements
.iter_mut() + body
.filter_map(|message| message.get_mut("content")) .get_mut("input")
.map(replace_images_in_content) .map(replace_images_in_responses_input)
.sum() .unwrap_or(0)
} }
fn replace_images_in_content(content: &mut Value) -> usize { fn replace_images_in_content(content: &mut Value) -> usize {
replace_images_in_content_with_text_type(content, "text")
}
fn replace_images_in_content_with_text_type(content: &mut Value, text_type: &str) -> usize {
let Some(blocks) = content.as_array_mut() else { let Some(blocks) = content.as_array_mut() else {
return 0; return 0;
}; };
let mut replaced = 0usize; let mut replaced = 0usize;
for block in blocks { for block in blocks {
if block.get("type").and_then(Value::as_str) == Some("image") { if is_image_block_type(block.get("type").and_then(Value::as_str)) {
let cache_control = block.get("cache_control").cloned(); replace_image_block_with_text_marker(block, text_type);
*block = json!({
"type": "text",
"text": UNSUPPORTED_IMAGE_MARKER
});
if let (Some(cache_control), Some(object)) = (cache_control, block.as_object_mut()) {
object.insert("cache_control".to_string(), cache_control);
}
replaced += 1; replaced += 1;
continue; continue;
} }
if let Some(nested_content) = block.get_mut("content") { if let Some(nested_content) = block.get_mut("content") {
replaced += replace_images_in_content(nested_content); replaced += replace_images_in_content_with_text_type(nested_content, text_type);
} }
} }
replaced replaced
} }
fn messages_have_image_blocks(body: &Value) -> bool {
body.get("messages")
.and_then(Value::as_array)
.is_some_and(|messages| {
messages
.iter()
.filter_map(|message| message.get("content"))
.any(content_has_image_blocks)
})
}
fn responses_input_has_image_blocks(input: Option<&Value>) -> bool {
match input {
Some(Value::Array(items)) => items.iter().any(responses_input_item_has_image_blocks),
Some(item @ Value::Object(_)) => responses_input_item_has_image_blocks(item),
_ => false,
}
}
fn responses_input_item_has_image_blocks(item: &Value) -> bool {
if item.get("type").and_then(Value::as_str) == Some("input_image") {
return true;
}
item.get("content").is_some_and(content_has_image_blocks)
}
fn replace_images_in_responses_input(input: &mut Value) -> usize {
match input {
Value::Array(items) => items
.iter_mut()
.map(replace_images_in_responses_input_item)
.sum(),
Value::Object(_) => replace_images_in_responses_input_item(input),
_ => 0,
}
}
fn replace_images_in_responses_input_item(item: &mut Value) -> usize {
let mut replaced = 0usize;
if item.get("type").and_then(Value::as_str) == Some("input_image") {
replace_image_block_with_text_marker(item, "input_text");
replaced += 1;
}
if let Some(content) = item.get_mut("content") {
replaced += replace_images_in_content_with_text_type(content, "input_text");
}
replaced
}
fn is_image_block_type(block_type: Option<&str>) -> bool {
matches!(block_type, Some("image" | "image_url" | "input_image"))
}
fn replace_image_block_with_text_marker(block: &mut Value, text_type: &str) {
let cache_control = block.get("cache_control").cloned();
*block = json!({
"type": text_type,
"text": UNSUPPORTED_IMAGE_MARKER
});
if let (Some(cache_control), Some(object)) = (cache_control, block.as_object_mut()) {
object.insert("cache_control".to_string(), cache_control);
}
}
fn explicit_model_image_support(provider: &Provider, model: &str) -> Option<bool> { fn explicit_model_image_support(provider: &Provider, model: &str) -> Option<bool> {
let settings = &provider.settings_config; let settings = &provider.settings_config;
[ [
@@ -369,6 +436,54 @@ mod tests {
); );
} }
#[test]
fn known_text_only_models_replace_chat_image_url_before_send() {
let provider = provider(json!({}));
let mut body = json!({
"model": "deepseek-v4-flash",
"messages": [{
"role": "user",
"content": [
{ "type": "text", "text": "look" },
{ "type": "image_url", "image_url": { "url": "data:image/png;base64,abc" } }
]
}]
});
let count = replace_images_for_text_only_model(&mut body, &provider, true);
assert_eq!(count, 1);
assert_eq!(body["messages"][0]["content"][1]["type"], "text");
assert_eq!(
body["messages"][0]["content"][1]["text"],
UNSUPPORTED_IMAGE_MARKER
);
}
#[test]
fn known_text_only_models_replace_codex_input_image_before_send() {
let provider = provider(json!({}));
let mut body = json!({
"model": "deepseek-v4-flash",
"input": [{
"role": "user",
"content": [
{ "type": "input_text", "text": "look" },
{ "type": "input_image", "image_url": "data:image/png;base64,abc" }
]
}]
});
let count = replace_images_for_text_only_model(&mut body, &provider, true);
assert_eq!(count, 1);
assert_eq!(body["input"][0]["content"][1]["type"], "input_text");
assert_eq!(
body["input"][0]["content"][1]["text"],
UNSUPPORTED_IMAGE_MARKER
);
}
#[test] #[test]
fn explicit_text_modalities_replace_images_before_send() { fn explicit_text_modalities_replace_images_before_send() {
let provider = provider(json!({ let provider = provider(json!({
@@ -654,6 +769,19 @@ mod tests {
assert!(is_unsupported_image_error(&attachment_error)); assert!(is_unsupported_image_error(&attachment_error));
} }
#[test]
fn detects_chat_content_unknown_variant_image_url_errors() {
let error = ProxyError::UpstreamError {
status: 400,
body: Some(
r#"{"error":{"message":"Failed to deserialize the JSON body into the target type: messages[11]: unknown variant image_url, expected text"}}"#
.to_string(),
),
};
assert!(is_unsupported_image_error(&error));
}
#[test] #[test]
fn heuristic_disabled_keeps_images_for_listed_text_only_models() { fn heuristic_disabled_keeps_images_for_listed_text_only_models() {
// allow_heuristic = false:内置列表不再预测性剥图,避免误判多模态模型时静默丢图。 // allow_heuristic = false:内置列表不再预测性剥图,避免误判多模态模型时静默丢图。
+67 -1
View File
@@ -11,6 +11,7 @@ pub struct ModelMapping {
pub haiku_model: Option<String>, pub haiku_model: Option<String>,
pub sonnet_model: Option<String>, pub sonnet_model: Option<String>,
pub opus_model: Option<String>, pub opus_model: Option<String>,
pub fable_model: Option<String>,
pub default_model: Option<String>, pub default_model: Option<String>,
} }
@@ -35,6 +36,11 @@ impl ModelMapping {
.and_then(|v| v.as_str()) .and_then(|v| v.as_str())
.filter(|s| !s.is_empty()) .filter(|s| !s.is_empty())
.map(String::from), .map(String::from),
fable_model: env
.and_then(|e| e.get("ANTHROPIC_DEFAULT_FABLE_MODEL"))
.and_then(|v| v.as_str())
.filter(|s| !s.is_empty())
.map(String::from),
default_model: env default_model: env
.and_then(|e| e.get("ANTHROPIC_MODEL")) .and_then(|e| e.get("ANTHROPIC_MODEL"))
.and_then(|v| v.as_str()) .and_then(|v| v.as_str())
@@ -48,6 +54,7 @@ impl ModelMapping {
self.haiku_model.is_some() self.haiku_model.is_some()
|| self.sonnet_model.is_some() || self.sonnet_model.is_some()
|| self.opus_model.is_some() || self.opus_model.is_some()
|| self.fable_model.is_some()
|| self.default_model.is_some() || self.default_model.is_some()
} }
@@ -56,6 +63,16 @@ impl ModelMapping {
let model_lower = original_model.to_lowercase(); let model_lower = original_model.to_lowercase();
// 1. 按模型类型匹配 // 1. 按模型类型匹配
if model_lower.contains("fable") {
if let Some(ref m) = self.fable_model {
return m.clone();
}
// 未单独配置 fable 档时归入 opus 档,与 Claude Code 官方
// 分类器降级方向一致(fable→opus),避免落到 default 失去层级。
if let Some(ref m) = self.opus_model {
return m.clone();
}
}
if model_lower.contains("haiku") { if model_lower.contains("haiku") {
if let Some(ref m) = self.haiku_model { if let Some(ref m) = self.haiku_model {
return m.clone(); return m.clone();
@@ -154,7 +171,8 @@ mod tests {
"ANTHROPIC_MODEL": "default-model", "ANTHROPIC_MODEL": "default-model",
"ANTHROPIC_DEFAULT_HAIKU_MODEL": "haiku-mapped", "ANTHROPIC_DEFAULT_HAIKU_MODEL": "haiku-mapped",
"ANTHROPIC_DEFAULT_SONNET_MODEL": "sonnet-mapped", "ANTHROPIC_DEFAULT_SONNET_MODEL": "sonnet-mapped",
"ANTHROPIC_DEFAULT_OPUS_MODEL": "opus-mapped" "ANTHROPIC_DEFAULT_OPUS_MODEL": "opus-mapped",
"ANTHROPIC_DEFAULT_FABLE_MODEL": "fable-mapped"
} }
}), }),
website_url: None, website_url: None,
@@ -214,6 +232,54 @@ mod tests {
assert_eq!(mapped, Some("opus-mapped".to_string())); assert_eq!(mapped, Some("opus-mapped".to_string()));
} }
#[test]
fn test_fable_mapping() {
let provider = create_provider_with_mapping();
let body = json!({"model": "claude-fable-5"});
let (result, _, mapped) = apply_model_mapping(body, &provider);
assert_eq!(result["model"], "fable-mapped");
assert_eq!(mapped, Some("fable-mapped".to_string()));
}
#[test]
fn test_fable_with_one_m_suffix_mapping() {
// Claude Code 实际会发 claude-fable-5[1m] 形态(issue #3980
let provider = create_provider_with_mapping();
let body = json!({"model": "claude-fable-5[1m]"});
let (result, _, mapped) = apply_model_mapping(body, &provider);
assert_eq!(result["model"], "fable-mapped");
assert_eq!(mapped, Some("fable-mapped".to_string()));
}
#[test]
fn test_fable_falls_back_to_opus_when_unset() {
let mut provider = create_provider_with_mapping();
provider.settings_config = json!({
"env": {
"ANTHROPIC_MODEL": "default-model",
"ANTHROPIC_DEFAULT_OPUS_MODEL": "opus-mapped"
}
});
let body = json!({"model": "claude-fable-5"});
let (result, _, mapped) = apply_model_mapping(body, &provider);
assert_eq!(result["model"], "opus-mapped");
assert_eq!(mapped, Some("opus-mapped".to_string()));
}
#[test]
fn test_fable_falls_back_to_default_without_opus() {
let mut provider = create_provider_with_mapping();
provider.settings_config = json!({
"env": {
"ANTHROPIC_MODEL": "default-model"
}
});
let body = json!({"model": "claude-fable-5"});
let (result, _, mapped) = apply_model_mapping(body, &provider);
assert_eq!(result["model"], "default-model");
assert_eq!(mapped, Some("default-model".to_string()));
}
#[test] #[test]
fn test_thinking_does_not_affect_model_mapping() { fn test_thinking_does_not_affect_model_mapping() {
// Issue #2081: thinking 参数不应影响模型映射 // Issue #2081: thinking 参数不应影响模型映射
+41
View File
@@ -409,6 +409,10 @@ pub fn transform_claude_request_for_api_format(
{ {
result["prompt_cache_key"] = serde_json::json!(key); result["prompt_cache_key"] = serde_json::json!(key);
} }
// 流式请求必须注入 stream_options.include_usage,否则 OpenAI 兼容上游
// 不在 SSE 末尾吐 usage → 转换出的 Anthropic message_delta 全 0 →
// 整笔 input/output/cache 漏记(与 Codex Responses→Chat 路径同源)。
super::transform::inject_openai_stream_include_usage(&mut result);
Ok(result) Ok(result)
} }
"gemini_native" => super::transform_gemini::anthropic_to_gemini_with_shadow( "gemini_native" => super::transform_gemini::anthropic_to_gemini_with_shadow(
@@ -1617,6 +1621,43 @@ mod tests {
assert!(transformed.get("max_output_tokens").is_some()); assert!(transformed.get("max_output_tokens").is_some());
} }
#[test]
fn test_transform_claude_request_openai_chat_streaming_injects_include_usage() {
let provider = create_provider(json!({
"env": { "ANTHROPIC_BASE_URL": "https://openrouter.ai/api/v1" }
}));
// 流式请求必须注入 stream_options.include_usage,否则 OpenAI 兼容上游不在
// SSE 末尾吐 usage → 转换出的 Anthropic message_delta 全 0 → 整笔 usage 漏记。
let body = json!({
"model": "moonshotai/kimi-k2",
"messages": [{ "role": "user", "content": "hello" }],
"max_tokens": 128,
"stream": true
});
let transformed =
transform_claude_request_for_api_format(body, &provider, "openai_chat", None, None)
.unwrap();
assert_eq!(transformed["stream"], true);
assert_eq!(transformed["stream_options"]["include_usage"], true);
}
#[test]
fn test_transform_claude_request_openai_chat_non_streaming_omits_stream_options() {
let provider = create_provider(json!({
"env": { "ANTHROPIC_BASE_URL": "https://openrouter.ai/api/v1" }
}));
// 非流式请求不应注入 stream_optionsusage 在非流式响应体里恒有)。
let body = json!({
"model": "moonshotai/kimi-k2",
"messages": [{ "role": "user", "content": "hello" }],
"max_tokens": 128
});
let transformed =
transform_claude_request_for_api_format(body, &provider, "openai_chat", None, None)
.unwrap();
assert!(transformed.get("stream_options").is_none());
}
#[test] #[test]
fn test_transform_claude_request_for_codex_oauth_uses_session_cache_key() { fn test_transform_claude_request_for_codex_oauth_uses_session_cache_key() {
let provider = create_provider_with_meta( let provider = create_provider_with_meta(
+1 -2
View File
@@ -48,8 +48,7 @@ pub use claude::{
pub use codex::CodexAdapter; pub use codex::CodexAdapter;
pub use codex::{ pub use codex::{
apply_codex_chat_upstream_model, codex_provider_upstream_model, apply_codex_chat_upstream_model, codex_provider_upstream_model,
codex_provider_uses_chat_completions, is_origin_only_url, resolve_codex_chat_reasoning_config, resolve_codex_chat_reasoning_config, should_convert_codex_responses_to_chat,
should_convert_codex_responses_to_chat,
}; };
pub use gemini::GeminiAdapter; pub use gemini::GeminiAdapter;
+100 -9
View File
@@ -100,15 +100,23 @@ struct ToolBlockState {
const INFINITE_WHITESPACE_THRESHOLD: usize = 500; const INFINITE_WHITESPACE_THRESHOLD: usize = 500;
fn build_anthropic_usage_json(usage: &Usage) -> Value { fn build_anthropic_usage_json(usage: &Usage) -> Value {
// OpenAI prompt_tokens 含缓存,Anthropic input_tokens 不含,需减去 cache_read 与 cache_creation
// (三桶互斥,恒等 input + cache_read + cache_creation == prompt_tokens)。
let cached = extract_cache_read_tokens(usage).unwrap_or(0);
let cache_creation = usage.cache_creation_input_tokens.unwrap_or(0);
let input_tokens = usage
.prompt_tokens
.saturating_sub(cached)
.saturating_sub(cache_creation);
let mut usage_json = json!({ let mut usage_json = json!({
"input_tokens": usage.prompt_tokens, "input_tokens": input_tokens,
"output_tokens": usage.completion_tokens "output_tokens": usage.completion_tokens
}); });
if let Some(cached) = extract_cache_read_tokens(usage) { if cached > 0 {
usage_json["cache_read_input_tokens"] = json!(cached); usage_json["cache_read_input_tokens"] = json!(cached);
} }
if let Some(created) = usage.cache_creation_input_tokens { if cache_creation > 0 {
usage_json["cache_creation_input_tokens"] = json!(created); usage_json["cache_creation_input_tokens"] = json!(cache_creation);
} }
usage_json usage_json
} }
@@ -223,12 +231,20 @@ pub fn create_anthropic_sse_stream<E: std::error::Error + Send + 'static>(
"output_tokens": 0 "output_tokens": 0
}); });
if let Some(u) = &chunk.usage { if let Some(u) = &chunk.usage {
start_usage["input_tokens"] = json!(u.prompt_tokens); let cached = extract_cache_read_tokens(u).unwrap_or(0);
if let Some(cached) = extract_cache_read_tokens(u) { let cache_creation =
u.cache_creation_input_tokens.unwrap_or(0);
let input = u
.prompt_tokens
.saturating_sub(cached)
.saturating_sub(cache_creation);
start_usage["input_tokens"] = json!(input);
if cached > 0 {
start_usage["cache_read_input_tokens"] = json!(cached); start_usage["cache_read_input_tokens"] = json!(cached);
} }
if let Some(created) = u.cache_creation_input_tokens { if cache_creation > 0 {
start_usage["cache_creation_input_tokens"] = json!(created); start_usage["cache_creation_input_tokens"] =
json!(cache_creation);
} }
} }
@@ -1022,7 +1038,7 @@ mod tests {
message_delta message_delta
.pointer("/usage/input_tokens") .pointer("/usage/input_tokens")
.and_then(|v| v.as_u64()), .and_then(|v| v.as_u64()),
Some(13312) Some(13212)
); );
assert_eq!( assert_eq!(
message_delta message_delta
@@ -1038,6 +1054,81 @@ mod tests {
); );
} }
#[tokio::test]
async fn test_usage_chunk_subtracts_cache_read_and_creation_from_input() {
// prompt_tokens(1000) 含 cache_read(600) 与 cache_creation(300);转 Anthropic 后
// input 应为 fresh,守恒:input(100) + cache_read(600) + cache_creation(300) == prompt(1000)。
let input = concat!(
"data: {\"id\":\"chatcmpl_cc\",\"model\":\"glm-5.1\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"index\":0,\"id\":\"tool-1\",\"type\":\"function\",\"function\":{\"name\":\"Bash\",\"arguments\":\"{\\\"command\\\":\\\"pwd\\\"}\"}}]}}]}\n\n",
"data: {\"id\":\"chatcmpl_cc\",\"model\":\"glm-5.1\",\"choices\":[{\"delta\":{},\"finish_reason\":\"tool_calls\"}]}\n\n",
"data: {\"choices\":[],\"usage\":{\"prompt_tokens\":1000,\"completion_tokens\":50,\"prompt_tokens_details\":{\"cached_tokens\":600},\"cache_creation_input_tokens\":300}}\n\n",
"data: [DONE]\n\n"
);
let events = collect_anthropic_events(input).await;
let message_delta = events
.iter()
.find(|event| event_type(event) == Some("message_delta"))
.expect("should emit message_delta with usage");
// fresh input = 1000 - 600 - 300 = 100
assert_eq!(
message_delta
.pointer("/usage/input_tokens")
.and_then(|v| v.as_u64()),
Some(100)
);
assert_eq!(
message_delta
.pointer("/usage/cache_read_input_tokens")
.and_then(|v| v.as_u64()),
Some(600)
);
assert_eq!(
message_delta
.pointer("/usage/cache_creation_input_tokens")
.and_then(|v| v.as_u64()),
Some(300)
);
}
#[tokio::test]
async fn test_usage_chunk_clamps_input_to_zero_when_cache_exceeds_prompt() {
// prompt(100) < cache_read(80)+cache_creation(50)=130saturating 钳到 0,防下溢。
// 钉桩:阻止未来把 saturating_sub 误改成普通减法(debug panic / release wrap)。
let input = concat!(
"data: {\"id\":\"chatcmpl_uf\",\"model\":\"glm-5.1\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"index\":0,\"id\":\"tool-1\",\"type\":\"function\",\"function\":{\"name\":\"Bash\",\"arguments\":\"{\\\"command\\\":\\\"pwd\\\"}\"}}]}}]}\n\n",
"data: {\"id\":\"chatcmpl_uf\",\"model\":\"glm-5.1\",\"choices\":[{\"delta\":{},\"finish_reason\":\"tool_calls\"}]}\n\n",
"data: {\"choices\":[],\"usage\":{\"prompt_tokens\":100,\"completion_tokens\":50,\"prompt_tokens_details\":{\"cached_tokens\":80},\"cache_creation_input_tokens\":50}}\n\n",
"data: [DONE]\n\n"
);
let events = collect_anthropic_events(input).await;
let message_delta = events
.iter()
.find(|event| event_type(event) == Some("message_delta"))
.expect("should emit message_delta with usage");
assert_eq!(
message_delta
.pointer("/usage/input_tokens")
.and_then(|v| v.as_u64()),
Some(0)
);
assert_eq!(
message_delta
.pointer("/usage/cache_read_input_tokens")
.and_then(|v| v.as_u64()),
Some(80)
);
assert_eq!(
message_delta
.pointer("/usage/cache_creation_input_tokens")
.and_then(|v| v.as_u64()),
Some(50)
);
}
#[tokio::test] #[tokio::test]
async fn test_message_delta_includes_zero_usage_when_stream_has_no_usage() { async fn test_message_delta_includes_zero_usage_when_stream_has_no_usage() {
let input = concat!( let input = concat!(
+86 -13
View File
@@ -112,6 +112,10 @@ pub fn resolve_reasoning_effort(body: &Value) -> Option<&'static str> {
} }
/// Anthropic 请求 → OpenAI Chat Completions 请求 /// Anthropic 请求 → OpenAI Chat Completions 请求
///
/// 转换工具库 API:当前无生产调用方(连通性检查不再发真实请求,曾是其唯一 crate 内
/// 消费者),但保留其转换逻辑与下方测试套件,供代理转换路径复用 / 未来接线。
#[allow(dead_code)]
pub fn anthropic_to_openai(body: Value) -> Result<Value, ProxyError> { pub fn anthropic_to_openai(body: Value) -> Result<Value, ProxyError> {
anthropic_to_openai_with_reasoning_content(body, false) anthropic_to_openai_with_reasoning_content(body, false)
} }
@@ -225,6 +229,33 @@ pub fn anthropic_to_openai_with_reasoning_content(
Ok(result) Ok(result)
} }
/// 为 OpenAI Chat Completions 流式请求注入 `stream_options.include_usage`。
///
/// OpenAI 兼容上游在流式下默认不在 SSE 里返回 usage,必须显式声明 include_usage
/// 才会在末尾吐 usage chunk。缺这一注入会导致流式请求的 token/成本/缓存全部漏记
/// input/output/cache 全为 0)。保留客户端可能透传的其它 stream_options 字段,
/// 仅补 include_usage;非流式请求不动。
///
/// 由 Claude→openai_chatclaude.rs)与 Codex Responses→Chattransform_codex_chat.rs
/// 两条转换路径共用,确保两个客户端方向行为一致。
pub(crate) fn inject_openai_stream_include_usage(result: &mut Value) {
let is_stream = result
.get("stream")
.and_then(|v| v.as_bool())
.unwrap_or(false);
if !is_stream {
return;
}
match result.get_mut("stream_options") {
Some(Value::Object(opts)) => {
opts.insert("include_usage".to_string(), json!(true));
}
_ => {
result["stream_options"] = json!({ "include_usage": true });
}
}
}
/// Translate an Anthropic `tool_choice` into the OpenAI Chat Completions form. /// Translate an Anthropic `tool_choice` into the OpenAI Chat Completions form.
/// ///
/// Anthropic forms: /// Anthropic forms:
@@ -617,10 +648,31 @@ pub fn openai_to_anthropic(body: Value) -> Result<Value, ProxyError> {
// usage — map cache tokens from OpenAI format to Anthropic format // usage — map cache tokens from OpenAI format to Anthropic format
let usage = body.get("usage").cloned().unwrap_or(json!({})); let usage = body.get("usage").cloned().unwrap_or(json!({}));
// OpenAI prompt_tokens 含缓存命中,Anthropic input_tokens 不含 → 减去 cache_read 与
// cache_creation,使 input 成为 fresh input。本路径以 app_type="claude" 记账(calculator
// 不再扣减),若不减则缓存会被计入 input 与各 cache 桶两次。三桶互斥,恒等:
// input + cache_read + cache_creation == prompt_tokensinclusive 上游)。
// 与流式 build_anthropic_usage_json (#2774) 及 transform_gemini 的 saturating_sub 对称。
// 最终 cache_read:直传字段优先于 nestedcache_creation 仅来自直传字段(OpenAI 无此概念)。
let cached = usage
.get("cache_read_input_tokens")
.and_then(|v| v.as_u64())
.or_else(|| {
usage
.pointer("/prompt_tokens_details/cached_tokens")
.and_then(|v| v.as_u64())
})
.unwrap_or(0);
let cache_creation = usage
.get("cache_creation_input_tokens")
.and_then(|v| v.as_u64())
.unwrap_or(0);
let input_tokens = usage let input_tokens = usage
.get("prompt_tokens") .get("prompt_tokens")
.and_then(|v| v.as_u64()) .and_then(|v| v.as_u64())
.unwrap_or(0) as u32; .unwrap_or(0)
.saturating_sub(cached)
.saturating_sub(cache_creation) as u32;
let output_tokens = usage let output_tokens = usage
.get("completion_tokens") .get("completion_tokens")
.and_then(|v| v.as_u64()) .and_then(|v| v.as_u64())
@@ -631,19 +683,11 @@ pub fn openai_to_anthropic(body: Value) -> Result<Value, ProxyError> {
"output_tokens": output_tokens "output_tokens": output_tokens
}); });
// OpenAI standard: prompt_tokens_details.cached_tokens if cached > 0 {
if let Some(cached) = usage
.pointer("/prompt_tokens_details/cached_tokens")
.and_then(|v| v.as_u64())
{
usage_json["cache_read_input_tokens"] = json!(cached); usage_json["cache_read_input_tokens"] = json!(cached);
} }
// Some compatible servers return these fields directly if cache_creation > 0 {
if let Some(v) = usage.get("cache_read_input_tokens") { usage_json["cache_creation_input_tokens"] = json!(cache_creation);
usage_json["cache_read_input_tokens"] = v.clone();
}
if let Some(v) = usage.get("cache_creation_input_tokens") {
usage_json["cache_creation_input_tokens"] = v.clone();
} }
let result = json!({ let result = json!({
@@ -1287,7 +1331,8 @@ mod tests {
}); });
let result = openai_to_anthropic(input).unwrap(); let result = openai_to_anthropic(input).unwrap();
assert_eq!(result["usage"]["input_tokens"], 100); // prompt_tokens(100) 含 cached(80),转换后 input 应为 fresh = 100 - 80 = 20
assert_eq!(result["usage"]["input_tokens"], 20);
assert_eq!(result["usage"]["output_tokens"], 50); assert_eq!(result["usage"]["output_tokens"], 50);
assert_eq!(result["usage"]["cache_read_input_tokens"], 80); assert_eq!(result["usage"]["cache_read_input_tokens"], 80);
} }
@@ -1311,10 +1356,38 @@ mod tests {
}); });
let result = openai_to_anthropic(input).unwrap(); let result = openai_to_anthropic(input).unwrap();
// cache_read(60)+cache_creation(20) 均从 prompt(100) 扣除,fresh = 100 - 60 - 20 = 20
// 守恒:input(20) + cache_read(60) + cache_creation(20) == prompt(100)
assert_eq!(result["usage"]["input_tokens"], 20);
assert_eq!(result["usage"]["cache_read_input_tokens"], 60); assert_eq!(result["usage"]["cache_read_input_tokens"], 60);
assert_eq!(result["usage"]["cache_creation_input_tokens"], 20); assert_eq!(result["usage"]["cache_creation_input_tokens"], 20);
} }
#[test]
fn test_openai_to_anthropic_clamps_input_when_cache_exceeds_prompt() {
// prompt(100) < cache_read(60)+cache_creation(50)=110saturating 钳到 0,防下溢。
// 钉桩:阻止未来把 saturating_sub 误改成普通减法(debug panic / release wrap)。
let input = json!({
"id": "chatcmpl-uf",
"model": "gpt-4",
"choices": [{
"index": 0,
"message": {"role": "assistant", "content": "x"},
"finish_reason": "stop"
}],
"usage": {
"prompt_tokens": 100,
"completion_tokens": 10,
"cache_read_input_tokens": 60,
"cache_creation_input_tokens": 50
}
});
let result = openai_to_anthropic(input).unwrap();
assert_eq!(result["usage"]["input_tokens"], 0);
assert_eq!(result["usage"]["cache_read_input_tokens"], 60);
assert_eq!(result["usage"]["cache_creation_input_tokens"], 50);
}
#[test] #[test]
fn test_openai_to_anthropic_finish_reason_content_filter_maps_end_turn() { fn test_openai_to_anthropic_finish_reason_content_filter_maps_end_turn() {
let input = json!({ let input = json!({
@@ -336,21 +336,8 @@ pub fn responses_to_chat_completions_with_reasoning(
// include_usage 才会在末尾吐 usage chunk。Codex CLI 用 Responses 协议、 // include_usage 才会在末尾吐 usage chunk。Codex CLI 用 Responses 协议、
// 自身不带 stream_options,缺这一注入会导致 kimi/MiniMax 等第三方流式请求的 // 自身不带 stream_options,缺这一注入会导致 kimi/MiniMax 等第三方流式请求的
// token/成本/缓存命中率全部漏记(input/output/cache 全为 0)。 // token/成本/缓存命中率全部漏记(input/output/cache 全为 0)。
let is_stream = result // 与 Claude→openai_chat 路径共用同一 helper,保证两个客户端方向一致。
.get("stream") super::transform::inject_openai_stream_include_usage(&mut result);
.and_then(|v| v.as_bool())
.unwrap_or(false);
if is_stream {
match result.get_mut("stream_options") {
// 保留客户端可能透传的其它 stream_options 字段,仅补 include_usage。
Some(Value::Object(opts)) => {
opts.insert("include_usage".to_string(), json!(true));
}
_ => {
result["stream_options"] = json!({ "include_usage": true });
}
}
}
Ok(result) Ok(result)
} }
@@ -39,6 +39,11 @@ pub(crate) fn is_synthesized_tool_call_id(id: &str) -> bool {
id.starts_with(SYNTHESIZED_ID_PREFIX) id.starts_with(SYNTHESIZED_ID_PREFIX)
} }
/// Anthropic 请求 → Gemini 原生请求。
///
/// 转换工具库 API:当前无生产调用方(连通性检查不再发真实请求,曾是其唯一 crate 内
/// 消费者),但保留其转换逻辑与下方测试套件,供代理转换路径复用 / 未来接线。
#[allow(dead_code)]
pub fn anthropic_to_gemini(body: Value) -> Result<Value, ProxyError> { pub fn anthropic_to_gemini(body: Value) -> Result<Value, ProxyError> {
anthropic_to_gemini_with_shadow(body, None, None, None) anthropic_to_gemini_with_shadow(body, None, None, None)
} }
@@ -1101,7 +1106,7 @@ pub(crate) fn build_anthropic_usage(usage: Option<&Value>) -> Value {
}); });
}; };
let input_tokens = usage let prompt_tokens = usage
.get("promptTokenCount") .get("promptTokenCount")
.and_then(|value| value.as_u64()) .and_then(|value| value.as_u64())
.unwrap_or(0); .unwrap_or(0);
@@ -1109,18 +1114,26 @@ pub(crate) fn build_anthropic_usage(usage: Option<&Value>) -> Value {
.get("totalTokenCount") .get("totalTokenCount")
.and_then(|value| value.as_u64()) .and_then(|value| value.as_u64())
.unwrap_or(0); .unwrap_or(0);
let output_tokens = total_tokens.saturating_sub(input_tokens); let cached_tokens = usage
.get("cachedContentTokenCount")
.and_then(|value| value.as_u64())
.unwrap_or(0);
// Gemini 的 promptTokenCount 含缓存命中(cachedContentTokenCount);而 Anthropic
// 语义下 input_tokens 必须是不含 cache 的 fresh input、cache_read 单列。本路径转成
// Anthropic 后以 app_type=claude 记账,calculator 对 claude 设 input_includes_cache_read
// =false 不再从 input 扣 cache,因此这里必须先扣减,否则缓存 token 会被双重计费
// (一次按完整 input 价、一次按 cache_read 价)。output 仍按 total-prompt 计算
// (prompt 是总输入,扣减只作用于 input/cache 的拆分,不影响 output)。
let input_tokens = prompt_tokens.saturating_sub(cached_tokens);
let output_tokens = total_tokens.saturating_sub(prompt_tokens);
let mut result = json!({ let mut result = json!({
"input_tokens": input_tokens, "input_tokens": input_tokens,
"output_tokens": output_tokens "output_tokens": output_tokens
}); });
if let Some(cached) = usage if cached_tokens > 0 {
.get("cachedContentTokenCount") result["cache_read_input_tokens"] = json!(cached_tokens);
.and_then(|value| value.as_u64())
{
result["cache_read_input_tokens"] = json!(cached);
} }
result result
@@ -1370,7 +1383,11 @@ mod tests {
assert_eq!(result["content"][0]["type"], "text"); assert_eq!(result["content"][0]["type"], "text");
assert_eq!(result["content"][0]["text"], "Hello from Gemini"); assert_eq!(result["content"][0]["text"], "Hello from Gemini");
assert_eq!(result["stop_reason"], "end_turn"); assert_eq!(result["stop_reason"], "end_turn");
assert_eq!(result["usage"]["input_tokens"], 12); // input_tokens = promptTokenCount(12) - cachedContentTokenCount(3) = 9fresh input)。
// Gemini 的 promptTokenCount 含缓存命中,但 Anthropic 语义要求 input 不含 cache、
// cache_read 单列;二者相加(9+3)=总输入 12。扣减避免本路径以 app_type=claude
// 记账时把缓存 token 双重计费。
assert_eq!(result["usage"]["input_tokens"], 9);
assert_eq!(result["usage"]["output_tokens"], 8); assert_eq!(result["usage"]["output_tokens"], 8);
assert_eq!(result["usage"]["cache_read_input_tokens"], 3); assert_eq!(result["usage"]["cache_read_input_tokens"], 3);
} }
@@ -355,6 +355,23 @@ pub(crate) fn build_anthropic_usage_from_responses(usage: Option<&Value>) -> Val
result["cache_creation_input_tokens"] = v.clone(); result["cache_creation_input_tokens"] = v.clone();
} }
// OpenAI/Responses 的 input(prompt_tokens/input_tokens)含缓存命中,Anthropic input_tokens 不含
// → 减去 cache_read 与 cache_creation,使其成为 fresh input。本函数在计量意义上是 claude 专属
// Codex Responses 透传走 from_codex_response_*,不调用本函数),故可安全在此扣减。三桶互斥,
// 恒等:input + cache_read + cache_creation == 上游 input(inclusive)。与 build_anthropic_usage_json
// (#2774) 及 transform_gemini 的 saturating_sub 对称;一处同时覆盖非流式与流式(streaming_responses)。
let cached = result
.get("cache_read_input_tokens")
.and_then(|v| v.as_u64())
.unwrap_or(0);
let cache_creation = result
.get("cache_creation_input_tokens")
.and_then(|v| v.as_u64())
.unwrap_or(0);
if cached > 0 || cache_creation > 0 {
result["input_tokens"] = json!(input.saturating_sub(cached).saturating_sub(cache_creation));
}
result result
} }
@@ -1156,7 +1173,8 @@ mod tests {
}); });
let result = responses_to_anthropic(input).unwrap(); let result = responses_to_anthropic(input).unwrap();
assert_eq!(result["usage"]["input_tokens"], 100); // input_tokens(100) 含 cached(80),转换后 input 应为 fresh = 100 - 80 = 20
assert_eq!(result["usage"]["input_tokens"], 20);
assert_eq!(result["usage"]["output_tokens"], 50); assert_eq!(result["usage"]["output_tokens"], 50);
assert_eq!(result["usage"]["cache_read_input_tokens"], 80); assert_eq!(result["usage"]["cache_read_input_tokens"], 80);
} }
@@ -1180,6 +1198,9 @@ mod tests {
}); });
let result = responses_to_anthropic(input).unwrap(); let result = responses_to_anthropic(input).unwrap();
// cache_read(60)+cache_creation(20) 均从 input(100) 扣除,fresh = 100 - 60 - 20 = 20
// 守恒:input(20) + cache_read(60) + cache_creation(20) == 上游 input(100)
assert_eq!(result["usage"]["input_tokens"], 20);
assert_eq!(result["usage"]["cache_read_input_tokens"], 60); assert_eq!(result["usage"]["cache_read_input_tokens"], 60);
assert_eq!(result["usage"]["cache_creation_input_tokens"], 20); assert_eq!(result["usage"]["cache_creation_input_tokens"], 20);
} }
@@ -1642,7 +1663,8 @@ mod tests {
"cached_tokens": 80 "cached_tokens": 80
} }
}))); })));
assert_eq!(result["input_tokens"], json!(100)); // input_tokens(100) 含 nested cached(80),转换后 input 应为 fresh = 100 - 80 = 20
assert_eq!(result["input_tokens"], json!(20));
assert_eq!(result["output_tokens"], json!(50)); assert_eq!(result["output_tokens"], json!(50));
assert_eq!(result["cache_read_input_tokens"], json!(80)); assert_eq!(result["cache_read_input_tokens"], json!(80));
} }
@@ -1657,9 +1679,26 @@ mod tests {
}, },
"cache_read_input_tokens": 100 "cache_read_input_tokens": 100
}))); })));
// 直传 cache_read(100) 优先于 nested(80)input(100) - 100 = 0fresh
assert_eq!(result["input_tokens"], json!(0));
assert_eq!(result["cache_read_input_tokens"], json!(100)); // Direct field overrides nested assert_eq!(result["cache_read_input_tokens"], json!(100)); // Direct field overrides nested
} }
#[test]
fn test_build_usage_clamps_input_when_cache_exceeds_input() {
// input(100) < cache_read(60)+cache_creation(50)=110saturating 钳到 0,防下溢。
// 钉桩:阻止未来把 saturating_sub 误改成普通减法(debug panic / release wrap)。
let result = build_anthropic_usage_from_responses(Some(&json!({
"input_tokens": 100,
"output_tokens": 10,
"cache_read_input_tokens": 60,
"cache_creation_input_tokens": 50
})));
assert_eq!(result["input_tokens"], json!(0));
assert_eq!(result["cache_read_input_tokens"], json!(60));
assert_eq!(result["cache_creation_input_tokens"], json!(50));
}
#[test] #[test]
fn test_build_usage_cache_tokens_without_input_output() { fn test_build_usage_cache_tokens_without_input_output() {
let result = build_anthropic_usage_from_responses(Some(&json!({ let result = build_anthropic_usage_from_responses(Some(&json!({
+198 -23
View File
@@ -35,28 +35,41 @@ use tokio::sync::Mutex;
/// 根据 content-encoding 解压响应体字节 /// 根据 content-encoding 解压响应体字节
/// ///
/// reqwest 自动解压已禁用(为了透传 accept-encoding),需要手动解压。 /// reqwest 自动解压已禁用(为了透传 accept-encoding),需要手动解压。
fn decompress_body(content_encoding: &str, body: &[u8]) -> Result<Vec<u8>, std::io::Error> { /// 返回 `Ok(None)` 表示编码不受支持、原样透传——此时调用方必须保留
/// content-encoding 头,否则下游(诊断/客户端)会把压缩字节误当明文。
fn decompress_body(content_encoding: &str, body: &[u8]) -> Result<Option<Vec<u8>>, std::io::Error> {
match content_encoding { match content_encoding {
"gzip" | "x-gzip" => { "gzip" | "x-gzip" => {
let mut decoder = flate2::read::GzDecoder::new(body); let mut decoder = flate2::read::GzDecoder::new(body);
let mut decompressed = Vec::new(); let mut decompressed = Vec::new();
decoder.read_to_end(&mut decompressed)?; decoder.read_to_end(&mut decompressed)?;
Ok(decompressed) Ok(Some(decompressed))
} }
"deflate" => { "deflate" => {
let mut decoder = flate2::read::DeflateDecoder::new(body); // RFC 9110: deflate 指 zlib 包裹格式;但部分上游发 raw deflate 流。
// 先按规范尝试 zlib,失败再回退 raw —— 否则合规上游必然解压失败,
// 原始压缩字节会被 fail-open 透传给 JSON 解析(#2234 形态 C 之一)。
let mut decompressed = Vec::new(); let mut decompressed = Vec::new();
decoder.read_to_end(&mut decompressed)?; let mut zlib = flate2::read::ZlibDecoder::new(body);
Ok(decompressed) match zlib.read_to_end(&mut decompressed) {
Ok(_) => Ok(Some(decompressed)),
Err(zlib_err) => {
log::debug!("deflate 按 zlib 解压失败({zlib_err}),回退 raw deflate");
let mut decompressed = Vec::new();
let mut raw = flate2::read::DeflateDecoder::new(body);
raw.read_to_end(&mut decompressed)?;
Ok(Some(decompressed))
}
}
} }
"br" => { "br" => {
let mut decompressed = Vec::new(); let mut decompressed = Vec::new();
brotli::BrotliDecompress(&mut std::io::Cursor::new(body), &mut decompressed)?; brotli::BrotliDecompress(&mut std::io::Cursor::new(body), &mut decompressed)?;
Ok(decompressed) Ok(Some(decompressed))
} }
_ => { _ => {
log::warn!("未知的 content-encoding: {content_encoding},跳过解压"); log::warn!("未知的 content-encoding: {content_encoding},跳过解压");
Ok(body.to_vec()) Ok(None)
} }
} }
} }
@@ -150,10 +163,13 @@ pub(crate) async fn read_decoded_body(
if let Some(encoding) = get_content_encoding(&headers) { if let Some(encoding) = get_content_encoding(&headers) {
log::debug!("[{tag}] 解压非流式响应: content-encoding={encoding}"); log::debug!("[{tag}] 解压非流式响应: content-encoding={encoding}");
match decompress_body(&encoding, &raw_bytes) { match decompress_body(&encoding, &raw_bytes) {
Ok(decompressed) => { Ok(Some(decompressed)) => {
body_bytes = Bytes::from(decompressed); body_bytes = Bytes::from(decompressed);
decoded = true; decoded = true;
} }
// 不支持的编码:原样透传且保留 content-encoding 头,
// 让下游诊断/客户端知道这仍是压缩字节
Ok(None) => {}
Err(e) => { Err(e) => {
log::warn!("[{tag}] 解压失败 ({encoding}): {e},使用原始数据"); log::warn!("[{tag}] 解压失败 ({encoding}): {e},使用原始数据");
} }
@@ -270,14 +286,21 @@ pub async fn handle_non_streaming(
if let Ok(json_value) = serde_json::from_slice::<Value>(&body_bytes) { if let Ok(json_value) = serde_json::from_slice::<Value>(&body_bytes) {
// 解析使用量 // 解析使用量
if let Some(usage) = (parser_config.response_parser)(&json_value) { if let Some(usage) = (parser_config.response_parser)(&json_value) {
// 优先使用 usage 解析出的模型名称,其次使用响应中的 model 字段,最后回退到请求模型 // 归因优先级:usage 解析出的模型 → 响应 model 字段 → 映射后的出站
let model = if let Some(ref m) = usage.model { // 模型(路由接管真值)→ 客户端请求模型。空字符串视为缺失。
m.clone() let model = usage
} else if let Some(m) = json_value.get("model").and_then(|m| m.as_str()) { .model
m.to_string() .clone()
} else { .filter(|m| !m.is_empty())
ctx.request_model.clone() .or_else(|| {
}; json_value
.get("model")
.and_then(|m| m.as_str())
.filter(|m| !m.is_empty())
.map(str::to_string)
})
.or_else(|| ctx.outbound_model.clone())
.unwrap_or_else(|| ctx.request_model.clone());
spawn_log_usage( spawn_log_usage(
state, state,
@@ -292,8 +315,10 @@ pub async fn handle_non_streaming(
let model = json_value let model = json_value
.get("model") .get("model")
.and_then(|m| m.as_str()) .and_then(|m| m.as_str())
.unwrap_or(&ctx.request_model) .filter(|m| !m.is_empty())
.to_string(); .map(str::to_string)
.or_else(|| ctx.outbound_model.clone())
.unwrap_or_else(|| ctx.request_model.clone());
spawn_log_usage( spawn_log_usage(
state, state,
ctx, ctx,
@@ -318,7 +343,7 @@ pub async fn handle_non_streaming(
state, state,
ctx, ctx,
TokenUsage::default(), TokenUsage::default(),
&ctx.request_model, ctx.outbound_model.as_deref().unwrap_or(&ctx.request_model),
&ctx.request_model, &ctx.request_model,
status.as_u16(), status.as_u16(),
false, false,
@@ -500,7 +525,16 @@ fn create_usage_collector(
let state = state.clone(); let state = state.clone();
let provider_id = ctx.provider.id.clone(); let provider_id = ctx.provider.id.clone();
let request_model = ctx.request_model.clone(); let request_model = ctx.request_model.clone();
let app_type_str = parser_config.app_type_str; // 流式事件缺失模型名时的归因兜底:映射后的出站模型(路由接管真值)优先,
// 其次才是客户端请求别名
let fallback_model = ctx
.outbound_model
.clone()
.unwrap_or_else(|| ctx.request_model.clone());
// 用 ctx 的 app_type 而不是 parser_config 的:Claude Desktop 流式透传复用
// CLAUDE_PARSER_CONFIGapp_type_str="claude"),按 parser_config 记账会把
// claude-desktop 的行错记到 claude 名下,导致供应商计价覆盖解析不到。
let app_type_str = ctx.app_type_str;
let tag = ctx.tag; let tag = ctx.tag;
let start_time = ctx.start_time; let start_time = ctx.start_time;
let stream_parser = parser_config.stream_parser; let stream_parser = parser_config.stream_parser;
@@ -512,13 +546,14 @@ fn create_usage_collector(
parser_config.stream_event_filter, parser_config.stream_event_filter,
move |events, first_token_ms| { move |events, first_token_ms| {
if let Some(usage) = stream_parser(&events) { if let Some(usage) = stream_parser(&events) {
let model = model_extractor(&events, &request_model); let model = model_extractor(&events, &fallback_model);
let latency_ms = start_time.elapsed().as_millis() as u64; let latency_ms = start_time.elapsed().as_millis() as u64;
let state = state.clone(); let state = state.clone();
let provider_id = provider_id.clone(); let provider_id = provider_id.clone();
let session_id = session_id.clone(); let session_id = session_id.clone();
let request_model = request_model.clone(); let request_model = request_model.clone();
let outbound_model = fallback_model.clone();
tokio::spawn(async move { tokio::spawn(async move {
log_usage_internal( log_usage_internal(
@@ -527,6 +562,7 @@ fn create_usage_collector(
app_type_str, app_type_str,
&model, &model,
&request_model, &request_model,
&outbound_model,
usage, usage,
latency_ms, latency_ms,
first_token_ms, first_token_ms,
@@ -537,12 +573,13 @@ fn create_usage_collector(
.await; .await;
}); });
} else { } else {
let model = model_extractor(&events, &request_model); let model = model_extractor(&events, &fallback_model);
let latency_ms = start_time.elapsed().as_millis() as u64; let latency_ms = start_time.elapsed().as_millis() as u64;
let state = state.clone(); let state = state.clone();
let provider_id = provider_id.clone(); let provider_id = provider_id.clone();
let session_id = session_id.clone(); let session_id = session_id.clone();
let request_model = request_model.clone(); let request_model = request_model.clone();
let outbound_model = fallback_model.clone();
tokio::spawn(async move { tokio::spawn(async move {
log_usage_internal( log_usage_internal(
@@ -551,6 +588,7 @@ fn create_usage_collector(
app_type_str, app_type_str,
&model, &model,
&request_model, &request_model,
&outbound_model,
TokenUsage::default(), TokenUsage::default(),
latency_ms, latency_ms,
first_token_ms, first_token_ms,
@@ -588,6 +626,11 @@ fn spawn_log_usage(
let app_type_str = ctx.app_type_str.to_string(); let app_type_str = ctx.app_type_str.to_string();
let model = model.to_string(); let model = model.to_string();
let request_model = request_model.to_string(); let request_model = request_model.to_string();
// 「按请求计价」模式的锚点:映射后的出站模型,无映射时等于 request_model
let outbound_model = ctx
.outbound_model
.clone()
.unwrap_or_else(|| ctx.request_model.clone());
let latency_ms = ctx.latency_ms(); let latency_ms = ctx.latency_ms();
let session_id = ctx.session_id.clone(); let session_id = ctx.session_id.clone();
@@ -598,6 +641,7 @@ fn spawn_log_usage(
&app_type_str, &app_type_str,
&model, &model,
&request_model, &request_model,
&outbound_model,
usage, usage,
latency_ms, latency_ms,
None, None,
@@ -618,6 +662,11 @@ pub(crate) fn usage_logging_enabled(state: &ProxyState) -> bool {
} }
/// 内部使用量记录函数 /// 内部使用量记录函数
///
/// `outbound_model` 是「按请求计价」模式的锚点:实际发往上游的模型
/// (路由接管映射后的真值,无映射时等于 request_model)。该模式的语义是
/// 「按代理发出的请求计价、不信任上游回显」,接管场景下发出的请求模型是
/// 映射后的 Y 而非客户端别名 X,按 X 计价会用错定价表行。
#[allow(clippy::too_many_arguments)] #[allow(clippy::too_many_arguments)]
async fn log_usage_internal( async fn log_usage_internal(
state: &ProxyState, state: &ProxyState,
@@ -625,6 +674,7 @@ async fn log_usage_internal(
app_type: &str, app_type: &str,
model: &str, model: &str,
request_model: &str, request_model: &str,
outbound_model: &str,
usage: TokenUsage, usage: TokenUsage,
latency_ms: u64, latency_ms: u64,
first_token_ms: Option<u64>, first_token_ms: Option<u64>,
@@ -638,7 +688,7 @@ async fn log_usage_internal(
let (multiplier, pricing_model_source) = let (multiplier, pricing_model_source) =
logger.resolve_pricing_config(provider_id, app_type).await; logger.resolve_pricing_config(provider_id, app_type).await;
let pricing_model = if pricing_model_source == PRICING_SOURCE_REQUEST { let pricing_model = if pricing_model_source == PRICING_SOURCE_REQUEST {
request_model outbound_model
} else { } else {
model model
}; };
@@ -828,6 +878,40 @@ mod tests {
use std::sync::Arc; use std::sync::Arc;
use tokio::sync::RwLock; use tokio::sync::RwLock;
#[test]
fn decompress_body_deflate_handles_zlib_wrapped_per_rfc9110() {
// RFC 9110 规范的 deflate = zlib 包裹格式(合规上游发的就是这个)
let payload = br#"{"ok":true}"#;
let mut encoder =
flate2::write::ZlibEncoder::new(Vec::new(), flate2::Compression::default());
std::io::Write::write_all(&mut encoder, payload).unwrap();
let compressed = encoder.finish().unwrap();
let decompressed = decompress_body("deflate", &compressed).unwrap().unwrap();
assert_eq!(decompressed, payload);
}
#[test]
fn decompress_body_deflate_falls_back_to_raw_stream() {
// 部分上游违规发 raw deflate 流,保持兼容
let payload = br#"{"ok":true}"#;
let mut encoder =
flate2::write::DeflateEncoder::new(Vec::new(), flate2::Compression::default());
std::io::Write::write_all(&mut encoder, payload).unwrap();
let compressed = encoder.finish().unwrap();
let decompressed = decompress_body("deflate", &compressed).unwrap().unwrap();
assert_eq!(decompressed, payload);
}
#[test]
fn decompress_body_unknown_encoding_returns_none_to_keep_headers() {
// 未知编码必须返回 None(而非伪装成"已解码"),否则 content-encoding
// 头被剥掉,下游诊断会把压缩字节误报成明文
let result = decompress_body("zstd", b"\x28\xb5\x2f\xfd").unwrap();
assert!(result.is_none());
}
#[test] #[test]
fn test_strip_sse_field_accepts_optional_space() { fn test_strip_sse_field_accepts_optional_space() {
assert_eq!( assert_eq!(
@@ -1015,6 +1099,7 @@ mod tests {
app_type, app_type,
"resp-model", "resp-model",
"req-model", "req-model",
"req-model",
usage, usage,
10, 10,
None, None,
@@ -1047,6 +1132,95 @@ mod tests {
Ok(()) Ok(())
} }
#[tokio::test]
async fn test_request_pricing_mode_anchors_to_outbound_model() -> Result<(), AppError> {
let db = Arc::new(Database::memory()?);
let app_type = "claude";
db.set_pricing_model_source(app_type, "request").await?;
seed_pricing(&db)?;
{
let conn = crate::database::lock_conn!(db.conn);
conn.execute(
"INSERT OR REPLACE INTO model_pricing (model_id, display_name, input_cost_per_million, output_cost_per_million)
VALUES ('outbound-model', 'Outbound Model', '4.0', '0')",
[],
)
.map_err(|e| AppError::Database(e.to_string()))?;
}
insert_provider(&db, "provider-3", app_type, ProviderMeta::default())?;
let state = build_state(db.clone());
let usage = TokenUsage {
input_tokens: 1_000_000,
output_tokens: 0,
cache_read_tokens: 0,
cache_creation_tokens: 0,
model: None,
message_id: None,
};
// 路由接管场景:客户端请求 req-model($2/M),代理实际发出 outbound-model
// $4/M),上游回显 resp-model。「按请求计价」必须锚定实际发出的模型。
log_usage_internal(
&state,
"provider-3",
app_type,
"resp-model",
"req-model",
"outbound-model",
usage,
10,
None,
false,
200,
None,
)
.await;
let conn = crate::database::lock_conn!(db.conn);
let (model, request_model, total_cost): (String, String, String) = conn
.query_row(
"SELECT model, request_model, total_cost_usd
FROM proxy_request_logs WHERE provider_id = ?1",
["provider-3"],
|row| Ok((row.get(0)?, row.get(1)?, row.get(2)?)),
)
.map_err(|e| AppError::Database(e.to_string()))?;
// model / request_model 列不受计价锚点影响
assert_eq!(model, "resp-model");
assert_eq!(request_model, "req-model");
// 按 outbound-model$4/M)计价,而不是 req-model$2/M)或 resp-model$1/M
assert_eq!(
Decimal::from_str(&total_cost).unwrap(),
Decimal::from_str("4").unwrap()
);
Ok(())
}
#[tokio::test]
async fn test_claude_desktop_inherits_claude_global_defaults() -> Result<(), AppError> {
use crate::proxy::usage::logger::UsageLogger;
let db = Arc::new(Database::memory()?);
// 全局计费配置只有 claude/codex/gemini 三行;claude-desktop 的
// 全局默认必须继承 claude,而不是静默落回工厂默认(1 / response
db.set_default_cost_multiplier("claude", "1.5").await?;
db.set_pricing_model_source("claude", "request").await?;
let logger = UsageLogger::new(&db);
let (multiplier, source) = logger
.resolve_pricing_config("nonexistent-provider", "claude-desktop")
.await;
assert_eq!(multiplier, Decimal::from_str("1.5").unwrap());
assert_eq!(source, "request");
Ok(())
}
#[tokio::test] #[tokio::test]
async fn test_log_usage_falls_back_to_global_defaults() -> Result<(), AppError> { async fn test_log_usage_falls_back_to_global_defaults() -> Result<(), AppError> {
let db = Arc::new(Database::memory()?); let db = Arc::new(Database::memory()?);
@@ -1075,6 +1249,7 @@ mod tests {
app_type, app_type,
"resp-model", "resp-model",
"req-model", "req-model",
"req-model",
usage, usage,
10, 10,
None, None,
+36 -15
View File
@@ -16,6 +16,11 @@ pub struct RequestLog {
pub app_type: String, pub app_type: String,
pub model: String, pub model: String,
pub request_model: String, pub request_model: String,
/// 写入时实际用于计价的模型名(pricing_model_source 解析后的结果)。
/// 落库供回填使用:缺价行补价后必须按写入时的基准重算,而不是
/// 用 model/request_model 猜——路由接管下三者可能各不相同。
/// 错误行(未计价)为空字符串。
pub pricing_model: String,
pub usage: TokenUsage, pub usage: TokenUsage,
pub cost: Option<CostBreakdown>, pub cost: Option<CostBreakdown>,
pub latency_ms: u64, pub latency_ms: u64,
@@ -68,18 +73,19 @@ impl<'a> UsageLogger<'a> {
conn.execute( conn.execute(
"INSERT OR REPLACE INTO proxy_request_logs ( "INSERT OR REPLACE INTO proxy_request_logs (
request_id, provider_id, app_type, model, request_model, request_id, provider_id, app_type, model, request_model, pricing_model,
input_tokens, output_tokens, cache_read_tokens, cache_creation_tokens, input_tokens, output_tokens, cache_read_tokens, cache_creation_tokens,
input_cost_usd, output_cost_usd, cache_read_cost_usd, cache_creation_cost_usd, total_cost_usd, input_cost_usd, output_cost_usd, cache_read_cost_usd, cache_creation_cost_usd, total_cost_usd,
latency_ms, first_token_ms, status_code, error_message, session_id, latency_ms, first_token_ms, status_code, error_message, session_id,
provider_type, is_streaming, cost_multiplier, created_at provider_type, is_streaming, cost_multiplier, created_at
) VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8, ?9, ?10, ?11, ?12, ?13, ?14, ?15, ?16, ?17, ?18, ?19, ?20, ?21, ?22, ?23)", ) VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8, ?9, ?10, ?11, ?12, ?13, ?14, ?15, ?16, ?17, ?18, ?19, ?20, ?21, ?22, ?23, ?24)",
rusqlite::params![ rusqlite::params![
log.request_id, log.request_id,
log.provider_id, log.provider_id,
log.app_type, log.app_type,
log.model, log.model,
log.request_model, log.request_model,
log.pricing_model,
log.usage.input_tokens, log.usage.input_tokens,
log.usage.output_tokens, log.usage.output_tokens,
log.usage.cache_read_tokens, log.usage.cache_read_tokens,
@@ -129,6 +135,8 @@ impl<'a> UsageLogger<'a> {
app_type, app_type,
model, model,
request_model, request_model,
// 错误行未经过计价,留空(回填的 has_usage 闸门也不会碰全 0 行)
pricing_model: String::new(),
usage: TokenUsage::default(), usage: TokenUsage::default(),
cost: None, cost: None,
latency_ms, latency_ms,
@@ -168,6 +176,8 @@ impl<'a> UsageLogger<'a> {
app_type, app_type,
model, model,
request_model, request_model,
// 错误行未经过计价,留空(回填的 has_usage 闸门也不会碰全 0 行)
pricing_model: String::new(),
usage: TokenUsage::default(), usage: TokenUsage::default(),
cost: None, cost: None,
latency_ms, latency_ms,
@@ -203,13 +213,22 @@ impl<'a> UsageLogger<'a> {
provider_id: &str, provider_id: &str,
app_type: &str, app_type: &str,
) -> (Decimal, String) { ) -> (Decimal, String) {
let default_multiplier_raw = match self.db.get_default_cost_multiplier(app_type).await { // Claude Desktop 网关没有独立的全局计费配置(proxy_config 的 CHECK 仅
Ok(value) => value, // 允许 claude/codex/gemini,前端也只暴露三项),全局默认继承 claude;
Err(e) => { // 供应商级 meta 覆盖仍按 claude-desktop 查找(providers 表按该 app_type 存)。
log::warn!("[USG-003] 获取默认倍率失败 (app_type={app_type}): {e}"); let default_app_type = if app_type == "claude-desktop" {
"1".to_string() "claude"
} } else {
app_type
}; };
let default_multiplier_raw =
match self.db.get_default_cost_multiplier(default_app_type).await {
Ok(value) => value,
Err(e) => {
log::warn!("[USG-003] 获取默认倍率失败 (app_type={app_type}): {e}");
"1".to_string()
}
};
let default_multiplier = match Decimal::from_str(&default_multiplier_raw) { let default_multiplier = match Decimal::from_str(&default_multiplier_raw) {
Ok(value) => value, Ok(value) => value,
Err(e) => { Err(e) => {
@@ -220,13 +239,14 @@ impl<'a> UsageLogger<'a> {
} }
}; };
let default_pricing_source_raw = match self.db.get_pricing_model_source(app_type).await { let default_pricing_source_raw =
Ok(value) => value, match self.db.get_pricing_model_source(default_app_type).await {
Err(e) => { Ok(value) => value,
log::warn!("[USG-003] 获取默认计费模式失败 (app_type={app_type}): {e}"); Err(e) => {
PRICING_SOURCE_RESPONSE.to_string() log::warn!("[USG-003] 获取默认计费模式失败 (app_type={app_type}): {e}");
} PRICING_SOURCE_RESPONSE.to_string()
}; }
};
let default_pricing_source = if default_pricing_source_raw == PRICING_SOURCE_RESPONSE let default_pricing_source = if default_pricing_source_raw == PRICING_SOURCE_RESPONSE
|| default_pricing_source_raw == PRICING_SOURCE_REQUEST || default_pricing_source_raw == PRICING_SOURCE_REQUEST
{ {
@@ -325,6 +345,7 @@ impl<'a> UsageLogger<'a> {
app_type, app_type,
model, model,
request_model, request_model,
pricing_model,
usage, usage,
cost, cost,
latency_ms, latency_ms,
+82 -1
View File
@@ -37,6 +37,18 @@ impl TokenUsage {
.map(|mid| format!("{SESSION_REQUEST_ID_PREFIX}{mid}")) .map(|mid| format!("{SESSION_REQUEST_ID_PREFIX}{mid}"))
.unwrap_or_else(|| uuid::Uuid::new_v4().to_string()) .unwrap_or_else(|| uuid::Uuid::new_v4().to_string())
} }
/// 是否产生了任一计费维度的 token。
///
/// 用于在写入前过滤全 0 的空 usage:当 OpenAI 兼容上游在流式下省略 usage 时,
/// 转换器会合成一个全 0 的终止事件,若无 message_id 则 `dedup_request_id`
/// 退化为随机 UUID,导致每笔请求插入一条无意义的空行、虚增请求数。
pub fn has_billable_tokens(&self) -> bool {
self.input_tokens > 0
|| self.output_tokens > 0
|| self.cache_read_tokens > 0
|| self.cache_creation_tokens > 0
}
} }
/// API 类型 /// API 类型
@@ -185,7 +197,11 @@ impl TokenUsage {
} }
} }
if usage.input_tokens > 0 || usage.output_tokens > 0 { // 用 has_billable_tokens 而非仅看 input/output:完全缓存命中、无输出的流式请求
// input==0 && output==0 但 cache_read>0)是真实的 cache-read 计费,必须保留。
// Gemini→Anthropic 路径在 input 改为 fresh(promptTokenCount - cachedContentTokenCount)
// 后尤其会出现这种全缓存场景;旧 gate 会把它当成"无 usage"丢弃。
if usage.has_billable_tokens() {
usage.model = model; usage.model = model;
usage.message_id = message_id; usage.message_id = message_id;
Some(usage) Some(usage)
@@ -522,6 +538,71 @@ mod tests {
assert_eq!(usage.model, Some("claude-sonnet-4-20250514".to_string())); assert_eq!(usage.model, Some("claude-sonnet-4-20250514".to_string()));
} }
#[test]
fn test_has_billable_tokens_gates_empty_usage() {
// 全 0 usage(如上游省略 usage 时合成的全 0 终止事件)不应计费——
// 这是 Codex 流式空行多记修复(D)的闸门依据。
assert!(!TokenUsage::default().has_billable_tokens());
// 仅有 cache_read 也属于真实计费 token,必须计入。
let only_cache = TokenUsage {
cache_read_tokens: 100,
..Default::default()
};
assert!(only_cache.has_billable_tokens());
let normal = TokenUsage {
input_tokens: 10,
output_tokens: 5,
..Default::default()
};
assert!(normal.has_billable_tokens());
}
#[test]
fn test_claude_stream_cache_only_request_is_recorded() {
// P2 回归:完全缓存命中、无输出的流式请求(input==0 && output==0 但 cache_read>0
// 是真实计费,必须保留——旧 gate `input>0 || output>0` 会把它丢弃。
let events = vec![
json!({
"type": "message_start",
"message": {
"id": "msg_cacheonly",
"model": "claude-opus-4-8",
"usage": {
"input_tokens": 0,
"cache_read_input_tokens": 50000,
"cache_creation_input_tokens": 0
}
}
}),
json!({
"type": "message_delta",
"usage": { "output_tokens": 0 }
}),
];
let usage = TokenUsage::from_claude_stream_events(&events)
.expect("cache-only 流式请求必须被记录,不能被 input/output gate 丢弃");
assert_eq!(usage.input_tokens, 0);
assert_eq!(usage.output_tokens, 0);
assert_eq!(usage.cache_read_tokens, 50000);
assert_eq!(usage.message_id, Some("msg_cacheonly".to_string()));
}
#[test]
fn test_codex_response_auto_returns_some_for_synthetic_all_zero() {
// P3 回归:上游非流式 Chat 省略 usage 时转换器合成的全 0 usagefrom_codex_response_auto
// 仍返回 Some(字段存在、无 positivity check)——证明 handlers 必须用 has_billable_tokens
// 闸门才能挡住空行,单靠 `if let Some` 不够。
let synthetic = json!({
"usage": { "input_tokens": 0, "output_tokens": 0, "total_tokens": 0 }
});
let usage = TokenUsage::from_codex_response_auto(&synthetic)
.expect("全 0 usage 字段存在时 from_codex_response_auto 返回 Some");
assert!(
!usage.has_billable_tokens(),
"全 0 usage 必须被 has_billable_tokens 判为非计费,由 handlers 闸门跳过"
);
}
#[test] #[test]
fn test_claude_response_parsing_no_model() { fn test_claude_response_parsing_no_model() {
let response = json!({ let response = json!({
+5 -5
View File
@@ -72,7 +72,7 @@ async fn query_deepseek(api_key: &str) -> UsageResult {
.get("https://api.deepseek.com/user/balance") .get("https://api.deepseek.com/user/balance")
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(Duration::from_secs(10)) .timeout(Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -144,7 +144,7 @@ async fn query_stepfun(api_key: &str) -> UsageResult {
.get("https://api.stepfun.com/v1/accounts") .get("https://api.stepfun.com/v1/accounts")
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(Duration::from_secs(10)) .timeout(Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -203,7 +203,7 @@ async fn query_siliconflow(api_key: &str, is_cn: bool) -> UsageResult {
.get(&url) .get(&url)
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(Duration::from_secs(10)) .timeout(Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -267,7 +267,7 @@ async fn query_openrouter(api_key: &str) -> UsageResult {
.get("https://openrouter.ai/api/v1/credits") .get("https://openrouter.ai/api/v1/credits")
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(Duration::from_secs(10)) .timeout(Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -327,7 +327,7 @@ async fn query_novita(api_key: &str) -> UsageResult {
.get("https://api.novita.ai/v3/user/balance") .get("https://api.novita.ai/v3/user/balance")
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(Duration::from_secs(10)) .timeout(Duration::from_secs(15))
.send() .send()
.await; .await;
+158 -25
View File
@@ -95,7 +95,7 @@ async fn query_kimi(api_key: &str) -> SubscriptionQuota {
.get("https://api.kimi.com/coding/v1/usages") .get("https://api.kimi.com/coding/v1/usages")
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -190,14 +190,46 @@ async fn query_kimi(api_key: &str) -> SubscriptionQuota {
// ── 智谱 GLM ──────────────────────────────────────────────── // ── 智谱 GLM ────────────────────────────────────────────────
/// 智谱 TOKENS_LIMIT 条目按 `unit` 字段的显式窗口分类。
enum ZhipuWindow {
FiveHour,
Weekly,
}
/// 按 `unit` 字段判定 TOKENS_LIMIT 条目所属窗口。
///
/// 实测形态(bigmodel.cn 与 z.ai 共用同一后端,字段一致):
/// - `unit: 3, number: 5` → 5 小时滚动窗口(老/新套餐均有)
/// - `unit: 6, number: 7` 与 `unit: 6, number: 1` → 每周窗口(两种取值都被
/// 实测过,故只锚定 `unit`、不绑 `number`
///
/// `unit` 缺失或值不认识时返回 None,由调用方走重置时间启发式兜底。
fn classify_zhipu_window(item: &serde_json::Value) -> Option<ZhipuWindow> {
match item.get("unit").and_then(|v| v.as_i64()) {
Some(3) => Some(ZhipuWindow::FiveHour),
Some(6) => Some(ZhipuWindow::Weekly),
_ => None,
}
}
/// 把智谱 `data` 里的 `limits[]` 解析成 tier 列表。 /// 把智谱 `data` 里的 `limits[]` 解析成 tier 列表。
/// ///
/// 双桶响应中,5 小时桶在 0% 等状态下可能没有 `nextResetTime` /// 分类优先级:
/// 这类无 reset 条目应优先归为五小时桶。其余条目按 `nextResetTime` 升序。 /// 1. 显式字段:`unit` 标识窗口类型(见 [`classify_zhipu_window`])。不能按
/// `nextResetTime` 排序代替——周期末尾每周窗口会比 5 小时窗口更早重置
/// issue #3036),时间排序在该场景必然把两桶标反。
/// 2. 兜底启发式(`unit` 缺失或不识别):无 `nextResetTime` 的条目优先归
/// five_hour5 小时桶在 0% 等状态下可能没有 reset),其余按 reset 升序
/// 依次填入仍空缺的槽位。
///
/// 老套餐(2026-02-12 前订阅)只回 1 条 /// 老套餐(2026-02-12 前订阅)只回 1 条
/// `TOKENS_LIMIT`,自然降级为仅展示 `five_hour`;新套餐回 2 条。 /// `TOKENS_LIMIT`,自然降级为仅展示 `five_hour`;新套餐回 2 条。
fn parse_zhipu_token_tiers(data: &serde_json::Value) -> Vec<QuotaTier> { fn parse_zhipu_token_tiers(data: &serde_json::Value) -> Vec<QuotaTier> {
let mut token_limits: Vec<(Option<i64>, f64, Option<String>)> = Vec::new(); type Entry = (Option<i64>, f64, Option<String>);
let mut five_hour: Option<Entry> = None;
let mut weekly: Option<Entry> = None;
let mut unclassified: Vec<Entry> = Vec::new();
if let Some(limits) = data.get("limits").and_then(|v| v.as_array()) { if let Some(limits) = data.get("limits").and_then(|v| v.as_array()) {
for limit_item in limits { for limit_item in limits {
let limit_type = limit_item let limit_type = limit_item
@@ -214,29 +246,38 @@ fn parse_zhipu_token_tiers(data: &serde_json::Value) -> Vec<QuotaTier> {
.unwrap_or(0.0); .unwrap_or(0.0);
let reset_ms = limit_item.get("nextResetTime").and_then(|v| v.as_i64()); let reset_ms = limit_item.get("nextResetTime").and_then(|v| v.as_i64());
let reset_iso = reset_ms.and_then(millis_to_iso8601); let reset_iso = reset_ms.and_then(millis_to_iso8601);
token_limits.push((reset_ms, percentage, reset_iso)); let entry = (reset_ms, percentage, reset_iso);
match classify_zhipu_window(limit_item) {
Some(ZhipuWindow::FiveHour) if five_hour.is_none() => five_hour = Some(entry),
Some(ZhipuWindow::Weekly) if weekly.is_none() => weekly = Some(entry),
_ => unclassified.push(entry),
}
} }
} }
token_limits.sort_by_key(|(reset, _, _)| (reset.is_some(), reset.unwrap_or(i64::MIN)));
token_limits unclassified.sort_by_key(|(reset, _, _)| (reset.is_some(), reset.unwrap_or(i64::MIN)));
.into_iter() for entry in unclassified {
.enumerate() if five_hour.is_none() {
.filter_map(|(idx, (_, percentage, resets_at))| { five_hour = Some(entry);
let name = match idx { } else if weekly.is_none() {
0 => TIER_FIVE_HOUR, weekly = Some(entry);
1 => TIER_WEEKLY_LIMIT, }
_ => return None, // 智谱当前最多两条 TOKENS_LIMIT,多余的忽略 // 智谱当前最多两条 TOKENS_LIMIT,多余的忽略
}; }
Some(QuotaTier {
let mut tiers = Vec::new();
for (name, slot) in [(TIER_FIVE_HOUR, five_hour), (TIER_WEEKLY_LIMIT, weekly)] {
if let Some((_, percentage, resets_at)) = slot {
tiers.push(QuotaTier {
name: name.to_string(), name: name.to_string(),
utilization: percentage, utilization: percentage,
resets_at, resets_at,
used_value_usd: None, used_value_usd: None,
max_value_usd: None, max_value_usd: None,
}) });
}) }
.collect() }
tiers
} }
/// Resolve the Zhipu quota endpoint from the user's configured `base_url`. /// Resolve the Zhipu quota endpoint from the user's configured `base_url`.
@@ -267,7 +308,7 @@ async fn query_zhipu(base_url: &str, api_key: &str) -> SubscriptionQuota {
.header("Authorization", api_key) // 注意:智谱不加 Bearer 前缀 .header("Authorization", api_key) // 注意:智谱不加 Bearer 前缀
.header("Content-Type", "application/json") .header("Content-Type", "application/json")
.header("Accept-Language", "en-US,en") .header("Accept-Language", "en-US,en")
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -350,7 +391,7 @@ async fn query_minimax(api_key: &str, is_cn: bool) -> SubscriptionQuota {
.get(&url) .get(&url)
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Content-Type", "application/json") .header("Content-Type", "application/json")
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -422,7 +463,7 @@ async fn query_zenmux(base_url: &str, api_key: &str) -> SubscriptionQuota {
.get(base_url) .get(base_url)
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -625,7 +666,8 @@ pub async fn get_coding_plan_quota(
success: false, success: false,
tiers: vec![], tiers: vec![],
extra_usage: None, extra_usage: None,
error: None, // 与 balance::get_balance 一致:给出明确错误,避免 footer 显示无信息的失败
error: Some("API key is empty".to_string()),
queried_at: None, queried_at: None,
}); });
} }
@@ -640,9 +682,10 @@ pub async fn get_coding_plan_quota(
success: false, success: false,
tiers: vec![], tiers: vec![],
extra_usage: None, extra_usage: None,
error: None, // 域名未命中已知套餐供应商(如第三方中转站):给出明确错误而非静默失败
error: Some("Unknown coding plan provider".to_string()),
queried_at: None, queried_at: None,
}) });
} }
}; };
@@ -779,6 +822,96 @@ mod tests {
assert_eq!(tiers[1].utilization, 150.0); assert_eq!(tiers[1].utilization, 150.0);
} }
#[test]
fn zhipu_unit_field_overrides_reset_order_when_weekly_resets_sooner() {
// 真实案例(issue #30362026-06-10 再次复现):每周周期末尾,周桶比
// 5 小时桶更早重置。官网真实值:5h 用 1%(约 5h 后重置)、每周用 42%
// (约 1h 后重置)。旧逻辑按 reset 升序必然标反,unit 字段须优先。
let data = json!({
"limits": [
{ "type": "TOKENS_LIMIT", "unit": 6, "number": 7, "percentage": 42.0, "nextResetTime": 1_000_003_600_000_i64 },
{ "type": "TOKENS_LIMIT", "unit": 3, "number": 5, "percentage": 1.0, "nextResetTime": 1_000_018_000_000_i64 }
]
});
let tiers = parse_zhipu_token_tiers(&data);
assert_eq!(tiers.len(), 2);
assert_eq!(tiers[0].name, TIER_FIVE_HOUR);
assert_eq!(tiers[0].utilization, 1.0);
assert_eq!(tiers[1].name, TIER_WEEKLY_LIMIT);
assert_eq!(tiers[1].utilization, 42.0);
}
#[test]
fn zhipu_weekly_unit_six_number_one_variant() {
// z.ai 也观测过 (unit:6, number:1) 表示每周窗口(按"1 周"计),
// 分类只看 unitnumber 取值不影响。
let data = json!({
"limits": [
{ "type": "TOKENS_LIMIT", "unit": 6, "number": 1, "percentage": 30.0, "nextResetTime": 1_000_000_000_000_i64 },
{ "type": "TOKENS_LIMIT", "unit": 3, "number": 5, "percentage": 10.0, "nextResetTime": 2_000_000_000_000_i64 }
]
});
let tiers = parse_zhipu_token_tiers(&data);
assert_eq!(tiers.len(), 2);
assert_eq!(tiers[0].name, TIER_FIVE_HOUR);
assert_eq!(tiers[0].utilization, 10.0);
assert_eq!(tiers[1].name, TIER_WEEKLY_LIMIT);
assert_eq!(tiers[1].utilization, 30.0);
}
#[test]
fn zhipu_partial_unit_fields_fill_remaining_slot() {
// 只有周桶带 unit 时,缺 unit 的另一条应填入剩下的 five_hour 槽位,
// 即便它的 reset 更晚——显式分类结果不受时间排序干扰。
let data = json!({
"limits": [
{ "type": "TOKENS_LIMIT", "unit": 6, "number": 7, "percentage": 42.0, "nextResetTime": 1_000_000_000_000_i64 },
{ "type": "TOKENS_LIMIT", "percentage": 1.0, "nextResetTime": 2_000_000_000_000_i64 }
]
});
let tiers = parse_zhipu_token_tiers(&data);
assert_eq!(tiers.len(), 2);
assert_eq!(tiers[0].name, TIER_FIVE_HOUR);
assert_eq!(tiers[0].utilization, 1.0);
assert_eq!(tiers[1].name, TIER_WEEKLY_LIMIT);
assert_eq!(tiers[1].utilization, 42.0);
}
#[test]
fn zhipu_unknown_unit_values_fall_back_to_reset_order() {
// 未识别的 unit 枚举值不猜语义,整体回落旧的重置时间启发式。
let data = json!({
"limits": [
{ "type": "TOKENS_LIMIT", "unit": 9, "percentage": 44.0, "nextResetTime": 1_000_000_000_000_i64 },
{ "type": "TOKENS_LIMIT", "unit": 9, "percentage": 53.0, "nextResetTime": 2_000_000_000_000_i64 }
]
});
let tiers = parse_zhipu_token_tiers(&data);
assert_eq!(tiers.len(), 2);
assert_eq!(tiers[0].name, TIER_FIVE_HOUR);
assert_eq!(tiers[0].utilization, 44.0);
assert_eq!(tiers[1].name, TIER_WEEKLY_LIMIT);
assert_eq!(tiers[1].utilization, 53.0);
}
#[test]
fn zhipu_duplicate_unit_classification_fills_other_slot() {
// 防御性:两条都标成 5 小时窗(上游异常)时,第一条占 five_hour,
// 第二条降级走兜底填入 weekly,保证不丢数据也不 panic。
let data = json!({
"limits": [
{ "type": "TOKENS_LIMIT", "unit": 3, "number": 5, "percentage": 10.0, "nextResetTime": 1_000_000_000_000_i64 },
{ "type": "TOKENS_LIMIT", "unit": 3, "number": 5, "percentage": 20.0, "nextResetTime": 2_000_000_000_000_i64 }
]
});
let tiers = parse_zhipu_token_tiers(&data);
assert_eq!(tiers.len(), 2);
assert_eq!(tiers[0].name, TIER_FIVE_HOUR);
assert_eq!(tiers[0].utilization, 10.0);
assert_eq!(tiers[1].name, TIER_WEEKLY_LIMIT);
assert_eq!(tiers[1].utilization, 20.0);
}
#[test] #[test]
fn zhipu_more_than_two_token_limits_keeps_first_two() { fn zhipu_more_than_two_token_limits_keeps_first_two() {
// 防御性:智谱当前最多两条 TOKENS_LIMIT,若上游意外增加第三条应被丢弃,避免命名空缺。 // 防御性:智谱当前最多两条 TOKENS_LIMIT,若上游意外增加第三条应被丢弃,避免命名空缺。
+10 -5
View File
@@ -4,6 +4,7 @@
//! 主要面向第三方聚合站(硅基流动、OpenRouter 等),以及把 Anthropic //! 主要面向第三方聚合站(硅基流动、OpenRouter 等),以及把 Anthropic
//! 协议挂在兼容子路径上的官方供应商(DeepSeek、Kimi、智谱 GLM 等)。 //! 协议挂在兼容子路径上的官方供应商(DeepSeek、Kimi、智谱 GLM 等)。
use reqwest::header::{HeaderValue, USER_AGENT};
use reqwest::StatusCode; use reqwest::StatusCode;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use std::time::Duration; use std::time::Duration;
@@ -55,6 +56,7 @@ pub async fn fetch_models(
api_key: &str, api_key: &str,
is_full_url: bool, is_full_url: bool,
models_url_override: Option<&str>, models_url_override: Option<&str>,
user_agent: Option<HeaderValue>,
) -> Result<Vec<FetchedModel>, String> { ) -> Result<Vec<FetchedModel>, String> {
if api_key.is_empty() { if api_key.is_empty() {
return Err("API Key is required to fetch models".to_string()); return Err("API Key is required to fetch models".to_string());
@@ -66,13 +68,16 @@ pub async fn fetch_models(
for url in &candidates { for url in &candidates {
log::debug!("[ModelFetch] Trying endpoint: {url}"); log::debug!("[ModelFetch] Trying endpoint: {url}");
let response = match client let mut request = client
.get(url) .get(url)
.header("Authorization", format!("Bearer {api_key}")) .header("Authorization", format!("Bearer {api_key}"))
.timeout(Duration::from_secs(FETCH_TIMEOUT_SECS)) .timeout(Duration::from_secs(FETCH_TIMEOUT_SECS));
.send() // 自定义 User-Agent:部分 /models 端点同样有 UA 白名单(如 Kimi Coding Plan),
.await // 与转发 / 检测路径共用同一 UA,避免"代理可用但取模型失败"。
{ if let Some(ua) = &user_agent {
request = request.header(USER_AGENT, ua.clone());
}
let response = match request.send().await {
Ok(r) => r, Ok(r) => r,
Err(e) => { Err(e) => {
return Err(format!("Request failed: {e}")); return Err(format!("Request failed: {e}"));
+29
View File
@@ -596,6 +596,19 @@ fn restore_live_settings_for_provider_backfill(
); );
} }
// 统一会话开关注入的共享 `custom` 路由只属于 live 配置;切换回填时
// 必须剥掉,否则官方供应商的存储配置被污染,关闭开关后无法还原。
if provider.category.as_deref() == Some("official") {
if let Err(err) =
crate::codex_config::strip_codex_unified_session_bucket_from_settings(&mut settings)
{
log::warn!(
"Failed to strip unified session bucket while backfilling '{}': {err}",
provider.id
);
}
}
// `modelCatalog` is a cc-switchprivate field whose SSOT is the DB. Live's // `modelCatalog` is a cc-switchprivate field whose SSOT is the DB. Live's
// `config.toml` only carries a lossy projection (`model_catalog_json` → // `config.toml` only carries a lossy projection (`model_catalog_json` →
// generated catalog file) that proxy takeover/restore cycles and Codex.app // generated catalog file) that proxy takeover/restore cycles and Codex.app
@@ -1133,6 +1146,22 @@ pub fn import_default_config(state: &AppState, app_type: AppType) -> Result<bool
return Ok(false); return Ok(false);
} }
// 拒绝把"被代理接管的 Live"导入为供应商:接管期间 Live 里只有
// PROXY_MANAGED 占位符和本地代理地址,不是用户的真实配置。一旦导入,
// 它会成为 current providerSSOT),后续"无备份恢复"路径会把占位符
// 当真实配置写回 Live,永久卡在已失效的本地代理上。
// 典型触发场景:代理接管开启时切换 app_config_dir 并重启,新数据库首启导入。
if state
.proxy_service
.detect_takeover_in_live_config_for_app(&app_type)
{
return Err(AppError::localized(
"provider.import.live_taken_over",
"Live 配置当前处于代理接管状态(包含占位符),不能导入为供应商。请先关闭代理接管或恢复 Live 配置后重试。",
"The live config is currently taken over by the proxy (contains placeholders) and cannot be imported as a provider. Disable proxy takeover or restore the live config first.",
));
}
let settings_config = match app_type { let settings_config = match app_type {
AppType::Codex => crate::codex_config::read_codex_live_settings()?, AppType::Codex => crate::codex_config::read_codex_live_settings()?,
AppType::Claude => { AppType::Claude => {
+42
View File
@@ -42,6 +42,48 @@ use live::{
}; };
use usage::validate_usage_script; use usage::validate_usage_script;
/// 统一会话开关变更后,立即按新开关状态重写当前官方 Codex 供应商的
/// live 配置,使开关即时生效(无需等下一次切换)。
/// 当前供应商非官方(或不存在)时为 no-op:注入只作用于官方配置,
/// 第三方 live 配置不受开关影响。
pub fn reapply_current_codex_official_live(state: &AppState) -> Result<bool, AppError> {
let current_id = ProviderService::current(state, AppType::Codex)?;
if current_id.is_empty() {
return Ok(false);
}
let providers = state.db.get_all_providers(AppType::Codex.as_str())?;
let Some(provider) = providers.get(&current_id) else {
return Ok(false);
};
if provider.category.as_deref() != Some("official") {
return Ok(false);
}
// 代理接管期间 live 归代理所有(开启代理时官方供应商只警告不拦截,
// 二者可以共存)。与切换/保存路径一致:以 backup/占位符为所有权信号,
// 只更新备份,注入后的配置由接管释放时的恢复路径落盘。
let has_live_backup =
futures::executor::block_on(state.db.get_live_backup(AppType::Codex.as_str()))
.ok()
.flatten()
.is_some();
let live_taken_over = state
.proxy_service
.detect_takeover_in_live_config_for_app(&AppType::Codex);
if has_live_backup || live_taken_over {
futures::executor::block_on(
state
.proxy_service
.update_live_backup_from_provider(AppType::Codex.as_str(), provider),
)
.map_err(|e| AppError::Message(format!("更新 Live 备份失败: {e}")))?;
return Ok(true);
}
live::write_live_with_common_config(&state.db, &AppType::Codex, provider)?;
Ok(true)
}
/// Provider business logic service /// Provider business logic service
pub struct ProviderService; pub struct ProviderService;
+123 -44
View File
@@ -81,32 +81,33 @@ pub(crate) async fn execute_and_format_usage_result(
} }
} }
/// Extract API key from provider configuration /// Resolve `(api_key, base_url)` for the JS-script path: explicit non-empty
fn extract_api_key_from_provider(provider: &crate::provider::Provider) -> Option<String> { /// script values win, otherwise fall back to the provider's stored config via
if let Some(env) = provider.settings_config.get("env") { /// `Provider::resolve_usage_credentials` — the same per-app resolver the
// Try multiple possible API key fields /// native balance/coding-plan path and the frontend `getProviderCredentials`
env.get("ANTHROPIC_AUTH_TOKEN") /// use, so `{{apiKey}}`/`{{baseUrl}}` match what the UI shows for them.
.or_else(|| env.get("ANTHROPIC_API_KEY")) fn resolve_script_credentials(
.or_else(|| env.get("OPENROUTER_API_KEY")) app_type: &AppType,
.or_else(|| env.get("GOOGLE_API_KEY")) provider: &crate::provider::Provider,
.and_then(|v| v.as_str()) api_key: Option<&str>,
.map(|s| s.to_string()) base_url: Option<&str>,
} else { ) -> (String, String) {
None let (provider_base_url, provider_api_key) = provider.resolve_usage_credentials(app_type);
}
}
/// Extract base URL from provider configuration let api_key = api_key
fn extract_base_url_from_provider(provider: &crate::provider::Provider) -> Option<String> { .map(str::trim)
if let Some(env) = provider.settings_config.get("env") { .filter(|value| !value.is_empty())
// Try multiple possible base URL fields .map(str::to_owned)
env.get("ANTHROPIC_BASE_URL") .unwrap_or(provider_api_key);
.or_else(|| env.get("GOOGLE_GEMINI_BASE_URL"))
.and_then(|v| v.as_str()) let base_url = base_url
.map(|s| s.trim_end_matches('/').to_string()) .map(str::trim)
} else { .filter(|value| !value.is_empty())
None // Trim like the provider path so `{{baseUrl}}/path` never doubles the slash.
} .map(|value| value.trim_end_matches('/').to_owned())
.unwrap_or(provider_base_url);
(api_key, base_url)
} }
/// Query provider usage (using saved script configuration) /// Query provider usage (using saved script configuration)
@@ -145,19 +146,12 @@ pub async fn query_usage(
} }
// Get credentials: prioritize UsageScript values, fallback to provider config // Get credentials: prioritize UsageScript values, fallback to provider config
let api_key = usage_script let (api_key, base_url) = resolve_script_credentials(
.api_key &app_type,
.clone() provider,
.filter(|k| !k.is_empty()) usage_script.api_key.as_deref(),
.or_else(|| extract_api_key_from_provider(provider)) usage_script.base_url.as_deref(),
.unwrap_or_default(); );
let base_url = usage_script
.base_url
.clone()
.filter(|u| !u.is_empty())
.or_else(|| extract_base_url_from_provider(provider))
.unwrap_or_default();
( (
usage_script.code.clone(), usage_script.code.clone(),
@@ -185,9 +179,9 @@ pub async fn query_usage(
/// Test usage script (using temporary script content, not saved) /// Test usage script (using temporary script content, not saved)
#[allow(clippy::too_many_arguments)] #[allow(clippy::too_many_arguments)]
pub async fn test_usage_script( pub async fn test_usage_script(
_state: &AppState, state: &AppState,
_app_type: AppType, app_type: AppType,
_provider_id: &str, provider_id: &str,
script_code: &str, script_code: &str,
timeout: u64, timeout: u64,
api_key: Option<&str>, api_key: Option<&str>,
@@ -196,11 +190,23 @@ pub async fn test_usage_script(
user_id: Option<&str>, user_id: Option<&str>,
template_type: Option<&str>, template_type: Option<&str>,
) -> Result<UsageResult, AppError> { ) -> Result<UsageResult, AppError> {
// Use provided credential parameters directly for testing let providers = state.db.get_all_providers(app_type.as_str())?;
let provider = providers.get(provider_id).ok_or_else(|| {
AppError::localized(
"provider.not_found",
format!("供应商不存在: {provider_id}"),
format!("Provider not found: {provider_id}"),
)
})?;
// Resolve like the real query so testing matches what a saved script does:
// explicit values win, empty ones fall back to the provider config.
let (api_key, base_url) = resolve_script_credentials(&app_type, provider, api_key, base_url);
execute_and_format_usage_result( execute_and_format_usage_result(
script_code, script_code,
api_key.unwrap_or(""), &api_key,
base_url.unwrap_or(""), &base_url,
timeout, timeout,
access_token, access_token,
user_id, user_id,
@@ -226,3 +232,76 @@ pub(crate) fn validate_usage_script(script: &UsageScript) -> Result<(), AppError
Ok(()) Ok(())
} }
#[cfg(test)]
mod tests {
use super::resolve_script_credentials;
use crate::app_config::AppType;
use crate::provider::Provider;
use serde_json::json;
fn provider_with_settings(settings_config: serde_json::Value) -> Provider {
Provider::with_id(
"provider-1".to_string(),
"Provider".to_string(),
settings_config,
None,
)
}
#[test]
fn script_values_override_provider_credentials() {
let provider = provider_with_settings(json!({
"env": {
"ANTHROPIC_AUTH_TOKEN": "provider-key",
"ANTHROPIC_BASE_URL": "https://provider.example.com/"
}
}));
let (api_key, base_url) = resolve_script_credentials(
&AppType::Claude,
&provider,
Some(" script-key "),
Some(" https://script.example.com/ "),
);
assert_eq!(api_key, "script-key");
assert_eq!(base_url, "https://script.example.com");
}
#[test]
fn empty_script_values_fall_back_to_provider_credentials() {
let provider = provider_with_settings(json!({
"env": {
"ANTHROPIC_AUTH_TOKEN": "provider-key",
"ANTHROPIC_BASE_URL": "https://provider.example.com/"
}
}));
let (api_key, base_url) =
resolve_script_credentials(&AppType::Claude, &provider, Some(""), None);
assert_eq!(api_key, "provider-key");
assert_eq!(base_url, "https://provider.example.com");
}
#[test]
fn codex_fallback_reads_auth_and_config_toml() {
let provider = provider_with_settings(json!({
"auth": {
"OPENAI_API_KEY": "openai-key"
},
"config": r#"model_provider = "azure"
[model_providers.azure]
base_url = "https://azure.example.com/v1/"
[model_providers.other]
base_url = "https://other.example.com/v1"
"#
}));
let (api_key, base_url) =
resolve_script_credentials(&AppType::Codex, &provider, None, None);
assert_eq!(api_key, "openai-key");
assert_eq!(base_url, "https://azure.example.com/v1");
}
}
+137 -4
View File
@@ -48,7 +48,7 @@ const CLAUDE_ONE_M_MARKER_FOR_CLIENT: &str = "[1M]";
#[derive(Debug, Clone, Copy, PartialEq, Eq)] #[derive(Debug, Clone, Copy, PartialEq, Eq)]
enum ClaudeTakeoverAuthPolicy { enum ClaudeTakeoverAuthPolicy {
PreserveExistingOrAuthToken, PreserveExistingOrAuthToken,
ManagedAccount, ManagedAccount { keep_auth_token: bool },
} }
#[derive(Clone)] #[derive(Clone)]
@@ -90,7 +90,12 @@ impl ProxyService {
provider: &Provider, provider: &Provider,
) { ) {
let auth_policy = if provider.uses_managed_account_auth() { let auth_policy = if provider.uses_managed_account_auth() {
ClaudeTakeoverAuthPolicy::ManagedAccount // Codex 系(含仅凭 base_url 识别、无 provider_type meta 的)必须保留
// ANTHROPIC_AUTH_TOKEN 占位符:Claude Code 缺该键会弹登录提示(#3784)。
// Copilot 维持仅 API_KEY 占位,避免与 /login 管理的 key 冲突(#1049)。
ClaudeTakeoverAuthPolicy::ManagedAccount {
keep_auth_token: !provider.is_github_copilot(),
}
} else { } else {
ClaudeTakeoverAuthPolicy::PreserveExistingOrAuthToken ClaudeTakeoverAuthPolicy::PreserveExistingOrAuthToken
}; };
@@ -180,7 +185,7 @@ impl ProxyService {
); );
} }
} }
ClaudeTakeoverAuthPolicy::ManagedAccount => { ClaudeTakeoverAuthPolicy::ManagedAccount { keep_auth_token } => {
for key in token_keys { for key in token_keys {
env.remove(key); env.remove(key);
} }
@@ -188,6 +193,14 @@ impl ProxyService {
"ANTHROPIC_API_KEY".to_string(), "ANTHROPIC_API_KEY".to_string(),
json!(PROXY_TOKEN_PLACEHOLDER), json!(PROXY_TOKEN_PLACEHOLDER),
); );
if keep_auth_token {
// 无条件注入而非"已存在才保留":热切换路径传入的是 provider
// settings(预设不含该键),且旧版接管已把存量用户 live 中的键删光。
env.insert(
"ANTHROPIC_AUTH_TOKEN".to_string(),
json!(PROXY_TOKEN_PLACEHOLDER),
);
}
} }
} }
} }
@@ -1632,7 +1645,7 @@ impl ProxyService {
/// ///
/// 返回值: /// 返回值:
/// - Ok(true):已成功写回 /// - Ok(true):已成功写回
/// - Ok(false):缺少当前供应商/供应商不存在,无法写回 /// - Ok(false):缺少当前供应商/供应商不存在/供应商本身含占位符,无法写回
fn restore_live_from_ssot_for_app(&self, app_type: &AppType) -> Result<bool, String> { fn restore_live_from_ssot_for_app(&self, app_type: &AppType) -> Result<bool, String> {
let current_id = crate::settings::get_effective_current_provider(&self.db, app_type) let current_id = crate::settings::get_effective_current_provider(&self.db, app_type)
.map_err(|e| format!("获取 {app_type:?} 当前供应商失败: {e}"))?; .map_err(|e| format!("获取 {app_type:?} 当前供应商失败: {e}"))?;
@@ -1650,6 +1663,16 @@ impl ProxyService {
return Ok(false); return Ok(false);
}; };
// 供应商配置本身含接管占位符时不可写回(历史异常:接管期间 Live 被
// 误导入成了供应商)。写回只会把占位符固化进 Live;返回 Ok(false)
// 让调用方落到"清理占位符"兜底。
if Self::live_has_proxy_placeholder_for_app(app_type, &provider.settings_config) {
log::warn!(
"{app_type:?} 当前供应商配置含代理接管占位符(疑似接管期间被导入的残留),跳过 SSOT 写回,改走占位符清理"
);
return Ok(false);
}
write_live_with_common_config(self.db.as_ref(), app_type, provider) write_live_with_common_config(self.db.as_ref(), app_type, provider)
.map_err(|e| format!("写入 {app_type:?} Live 配置失败: {e}"))?; .map_err(|e| format!("写入 {app_type:?} Live 配置失败: {e}"))?;
@@ -2010,6 +2033,14 @@ impl ProxyService {
)?; )?;
Self::preserve_codex_oauth_auth_in_backup(&mut effective_settings, existing_value)?; Self::preserve_codex_oauth_auth_in_backup(&mut effective_settings, existing_value)?;
} }
// 统一会话开关:备份是接管释放时恢复 live 的来源,官方配置的
// 共享 custom 路由注入必须落在备份里,否则恢复后开关失效。
crate::codex_config::apply_codex_unified_session_bucket_to_settings(
provider.category.as_deref(),
&mut effective_settings,
)
.map_err(|e| format!("注入统一会话路由失败: {e}"))?;
} }
let backup_json = match app_type_enum { let backup_json = match app_type_enum {
@@ -2935,6 +2966,108 @@ mod tests {
assert_env_str(env, "ANTHROPIC_DEFAULT_OPUS_MODEL", Some("claude-opus-4-8")); assert_env_str(env, "ANTHROPIC_DEFAULT_OPUS_MODEL", Some("claude-opus-4-8"));
assert_env_str(env, "ANTHROPIC_DEFAULT_OPUS_MODEL_NAME", Some("gpt-5.4")); assert_env_str(env, "ANTHROPIC_DEFAULT_OPUS_MODEL_NAME", Some("gpt-5.4"));
assert_env_str(env, "ANTHROPIC_API_KEY", Some(PROXY_TOKEN_PLACEHOLDER)); assert_env_str(env, "ANTHROPIC_API_KEY", Some(PROXY_TOKEN_PLACEHOLDER));
assert_env_str(env, "ANTHROPIC_AUTH_TOKEN", Some(PROXY_TOKEN_PLACEHOLDER));
}
#[test]
fn managed_account_claude_takeover_codex_injects_auth_token_without_preexisting_key() {
let mut provider = Provider::with_id(
"codex".to_string(),
"Codex".to_string(),
json!({
"env": {
"ANTHROPIC_BASE_URL": "https://chatgpt.com/backend-api/codex"
}
}),
None,
);
provider.meta = Some(ProviderMeta {
provider_type: Some("codex_oauth".to_string()),
..Default::default()
});
// 全新安装/热切换形态:传入的 env 没有任何 token 键。
let mut live_config = provider.settings_config.clone();
ProxyService::apply_claude_takeover_fields_for_provider(
&mut live_config,
"http://127.0.0.1:15721",
&provider,
);
let env = live_config
.get("env")
.and_then(|value| value.as_object())
.expect("env should exist");
assert_env_str(env, "ANTHROPIC_API_KEY", Some(PROXY_TOKEN_PLACEHOLDER));
assert_env_str(env, "ANTHROPIC_AUTH_TOKEN", Some(PROXY_TOKEN_PLACEHOLDER));
}
#[test]
fn managed_account_claude_takeover_codex_by_base_url_keeps_auth_token() {
// 无 provider_type meta、仅凭 base_url 识别为受管 codex 的供应商,
// 也必须保留 AUTH_TOKEN 占位符(与策略选择共用同一判定族)。
let provider = Provider::with_id(
"codex-url-only".to_string(),
"Codex (URL only)".to_string(),
json!({
"env": {
"ANTHROPIC_BASE_URL": "https://chatgpt.com/backend-api/codex"
}
}),
None,
);
assert!(provider.uses_managed_account_auth());
assert!(!provider.is_codex_oauth());
let mut live_config = provider.settings_config.clone();
ProxyService::apply_claude_takeover_fields_for_provider(
&mut live_config,
"http://127.0.0.1:15721",
&provider,
);
let env = live_config
.get("env")
.and_then(|value| value.as_object())
.expect("env should exist");
assert_env_str(env, "ANTHROPIC_API_KEY", Some(PROXY_TOKEN_PLACEHOLDER));
assert_env_str(env, "ANTHROPIC_AUTH_TOKEN", Some(PROXY_TOKEN_PLACEHOLDER));
}
#[test]
fn managed_account_claude_takeover_copilot_removes_stale_auth_token() {
let mut provider = Provider::with_id(
"copilot".to_string(),
"GitHub Copilot".to_string(),
json!({
"env": {
"ANTHROPIC_BASE_URL": "https://api.githubcopilot.com"
}
}),
None,
);
provider.meta = Some(ProviderMeta {
provider_type: Some("github_copilot".to_string()),
..Default::default()
});
let mut live_config = json!({
"env": {
"ANTHROPIC_BASE_URL": "https://stale.example.com",
"ANTHROPIC_AUTH_TOKEN": "stale-token"
}
});
ProxyService::apply_claude_takeover_fields_for_provider(
&mut live_config,
"http://127.0.0.1:15721",
&provider,
);
let env = live_config
.get("env")
.and_then(|value| value.as_object())
.expect("env should exist");
assert_env_str(env, "ANTHROPIC_API_KEY", Some(PROXY_TOKEN_PLACEHOLDER));
assert_env_str(env, "ANTHROPIC_AUTH_TOKEN", None); assert_env_str(env, "ANTHROPIC_AUTH_TOKEN", None);
} }
+127 -17
View File
@@ -109,9 +109,15 @@ pub fn sync_claude_session_logs(db: &Database) -> Result<SessionSyncResult, AppE
/// 收集目录下所有 .jsonl 文件(含子 agent 文件) /// 收集目录下所有 .jsonl 文件(含子 agent 文件)
/// ///
/// 扫描三层固定深度,不使用递归,避免死循环: /// 扫描固定深度,不使用递归,避免死循环:
/// projects_dir/项目目录/*.jsonl (主会话) /// projects_dir/项目目录/*.jsonl (主会话)
/// projects_dir/项目目录/SESSION_ID/subagents/*.jsonl (子 agent) /// projects_dir/项目目录/SESSION_ID/subagents/*.jsonl (Task/Agent 子 agent)
/// projects_dir/项目目录/SESSION_ID/subagents/workflows/wf_*/*.jsonl (Workflow 子 agent)
///
/// 最后一层是 Claude Code Workflow 功能产生的子 agent transcript,比普通子
/// agent 多嵌套一层 `workflows/wf_<ID>/`。漏掉这一层会让 Workflow 的 token
/// 用量完全不计入统计;`journal.jsonl` 不含 `type=="assistant"` 行,解析时
/// 会被 `sync_single_file` 天然跳过,因此这里无需按文件名过滤。
fn collect_jsonl_files(projects_dir: &Path) -> Vec<PathBuf> { fn collect_jsonl_files(projects_dir: &Path) -> Vec<PathBuf> {
let mut files = Vec::new(); let mut files = Vec::new();
@@ -136,12 +142,18 @@ fn collect_jsonl_files(projects_dir: &Path) -> Vec<PathBuf> {
// 扫描子 agent 目录: 项目/SESSION_ID/subagents/*.jsonl // 扫描子 agent 目录: 项目/SESSION_ID/subagents/*.jsonl
let subagents_dir = sub_path.join("subagents"); let subagents_dir = sub_path.join("subagents");
if subagents_dir.is_dir() { if subagents_dir.is_dir() {
if let Ok(agent_entries) = fs::read_dir(&subagents_dir) { push_jsonl_children(&subagents_dir, &mut files);
for agent_entry in agent_entries.flatten() {
let agent_path = agent_entry.path(); // 额外下探 Workflow 子 agent:
if agent_path.extension().and_then(|e| e.to_str()) == Some("jsonl") // 项目/SESSION_ID/subagents/workflows/wf_<ID>/*.jsonl
{ let workflows_dir = subagents_dir.join("workflows");
files.push(agent_path); if workflows_dir.is_dir() {
if let Ok(wf_entries) = fs::read_dir(&workflows_dir) {
for wf_entry in wf_entries.flatten() {
let wf_path = wf_entry.path();
if wf_path.is_dir() {
push_jsonl_children(&wf_path, &mut files);
}
} }
} }
} }
@@ -154,6 +166,18 @@ fn collect_jsonl_files(projects_dir: &Path) -> Vec<PathBuf> {
files files
} }
/// 将 `dir` 下直接子层的所有 `.jsonl` 文件追加到 `files`(不递归)。
fn push_jsonl_children(dir: &Path, files: &mut Vec<PathBuf>) {
if let Ok(entries) = fs::read_dir(dir) {
for entry in entries.flatten() {
let path = entry.path();
if path.extension().and_then(|e| e.to_str()) == Some("jsonl") {
files.push(path);
}
}
}
}
/// 同步单个 JSONL 文件,返回 (imported, skipped) /// 同步单个 JSONL 文件,返回 (imported, skipped)
fn sync_single_file(db: &Database, file_path: &Path) -> Result<(u32, u32), AppError> { fn sync_single_file(db: &Database, file_path: &Path) -> Result<(u32, u32), AppError> {
let file_path_str = file_path.to_string_lossy().to_string(); let file_path_str = file_path.to_string_lossy().to_string();
@@ -290,8 +314,23 @@ fn sync_single_file(db: &Database, file_path: &Path) -> Result<(u32, u32), AppEr
let mut skipped: u32 = 0; let mut skipped: u32 = 0;
for msg in messages.values() { for msg in messages.values() {
// 只导入有 stop_reason 的最终条目(完整的 API 调用) // 只要产生了真实计费 token 就导入,不再强制要求 stop_reason 或 output>0。
if msg.stop_reason.is_none() { //
// Anthropic 在受理请求时即对 input + cache_read + cache_creation 计费
// (这些在请求开始就确定),output 按实际生成量计。Workflow / 子 agent 的
// 并行短命请求经常只写了 message_start 快照(output=1、stop_reason=None
// 却没有写最终块,但其 cache/input 成本已被真实计费。旧逻辑用 stop_reason
// 非空 + output>0 双重过滤,会把这类请求整条丢弃,实测系统性低估约 4.1%,
// 且 92% 集中在 workflow/subagent。这里改为「任一计费维度 > 0 即导入」。
//
// 去重选择逻辑(上方按 message.id 取 stop_reason 优先 / output 最大者)保持
// 不变:它选出的代表行的 input/cache 本就准确;request_id = session:msg_id
// 主键 + INSERT OR IGNORE 保证一个 message 仍只落库一次,放宽 gate 不会双算。
let has_billable_tokens = msg.input_tokens > 0
|| msg.output_tokens > 0
|| msg.cache_read_tokens > 0
|| msg.cache_creation_tokens > 0;
if !has_billable_tokens {
continue; continue;
} }
@@ -301,11 +340,6 @@ fn sync_single_file(db: &Database, file_path: &Path) -> Result<(u32, u32), AppEr
msg.message_id msg.message_id
); );
// 跳过 output_tokens 为 0 的无意义条目
if msg.output_tokens == 0 {
continue;
}
match insert_session_log_entry(db, &request_id, msg) { match insert_session_log_entry(db, &request_id, msg) {
Ok(true) => imported += 1, Ok(true) => imported += 1,
Ok(false) => skipped += 1, Ok(false) => skipped += 1,
@@ -467,7 +501,7 @@ fn insert_session_log_entry(
total_cost, total_cost,
0i64, // latency_ms: 会话日志无此数据 0i64, // latency_ms: 会话日志无此数据
Option::<i64>::None, // first_token_ms Option::<i64>::None, // first_token_ms
200i64, // status_code: 有 stop_reason 说明请求成功 200i64, // status_code: 会话日志中的请求只要产生计费 token 即视为成功
Option::<String>::None, // error_message Option::<String>::None, // error_message
msg.session_id, msg.session_id,
Some("session_log"), // provider_type Some("session_log"), // provider_type
@@ -685,4 +719,80 @@ mod tests {
fs::remove_dir_all(&tmp).ok(); fs::remove_dir_all(&tmp).ok();
} }
#[test]
fn test_collect_jsonl_files_includes_workflow_subagents() {
// Claude Code Workflow 把子 agent transcript 嵌在
// 项目/SESSION_ID/subagents/workflows/wf_<ID>/ 下,比普通子 agent 深一层。
let tmp = std::env::temp_dir().join(format!("cc-switch-test-{}", uuid::Uuid::new_v4()));
let project = tmp.join("project");
let session_dir = project.join("test-session");
let subagents_dir = session_dir.join("subagents");
let wf_dir = subagents_dir.join("workflows").join("wf_test123");
fs::create_dir_all(&wf_dir).unwrap();
fs::write(project.join("main.jsonl"), "{}").unwrap();
fs::write(subagents_dir.join("agent-plain.jsonl"), "{}").unwrap();
fs::write(wf_dir.join("agent-wf.jsonl"), "{}").unwrap();
// journal.jsonl 也会被收集,但解析时因无 assistant 行而产出 0 条
fs::write(wf_dir.join("journal.jsonl"), "{}").unwrap();
let files = collect_jsonl_files(&tmp);
let paths: Vec<String> = files
.iter()
.map(|p| p.to_string_lossy().to_string())
.collect();
// 主会话 + 普通子 agent + Workflow 子 agent(agent-wf + journal) = 4
assert_eq!(files.len(), 4);
assert!(paths.iter().any(|p| p.contains("main.jsonl")));
assert!(paths.iter().any(|p| p.contains("agent-plain.jsonl")));
assert!(
paths.iter().any(|p| p.contains("agent-wf.jsonl")),
"Workflow 子 agent transcript 必须被收集"
);
fs::remove_dir_all(&tmp).ok();
}
#[test]
fn test_sync_imports_billable_message_without_stop_reason() -> Result<(), AppError> {
// 回归:stop_reason 缺失但有真实 cache/input 成本的 messageWorkflow /
// 子 agent 常见的「只有 message_start 快照、没写最终块」形态)必须被计入,
// 不能因缺 stop_reason 或 output==0 而整条丢弃;全 0 token 的占位行仍应跳过。
let db = Database::memory()?;
let tmp = std::env::temp_dir().join(format!("cc-switch-test-{}", uuid::Uuid::new_v4()));
fs::create_dir_all(&tmp).unwrap();
let file = tmp.join("agent-wf.jsonl");
// 第一行:无 stop_reason、output=1,但 cache_read/cache_creation 很大 → 应导入
// 第二行:全部 token 为 0 → 应跳过(无计费意义)
let billable = r#"{"type":"assistant","message":{"id":"msg_nostop","model":"claude-opus-4-8","usage":{"input_tokens":2,"output_tokens":1,"cache_read_input_tokens":48719,"cache_creation_input_tokens":2061}},"timestamp":"2026-06-07T13:01:23Z","sessionId":"session-wf"}"#;
let empty = r#"{"type":"assistant","message":{"id":"msg_empty","model":"claude-opus-4-8","usage":{"input_tokens":0,"output_tokens":0,"cache_read_input_tokens":0,"cache_creation_input_tokens":0}},"timestamp":"2026-06-07T13:01:24Z","sessionId":"session-wf"}"#;
fs::write(&file, format!("{billable}\n{empty}\n")).unwrap();
let (imported, _skipped) = sync_single_file(&db, &file)?;
assert_eq!(
imported, 1,
"有 cache 成本但无 stop_reason 的 message 必须被导入"
);
let conn = lock_conn!(db.conn);
let cache_read: i64 = conn.query_row(
"SELECT cache_read_tokens FROM proxy_request_logs WHERE request_id = 'session:msg_nostop'",
[],
|row| row.get(0),
)?;
assert_eq!(cache_read, 48719, "cache_read 必须被完整记录");
let empty_exists: bool = conn.query_row(
"SELECT EXISTS(SELECT 1 FROM proxy_request_logs WHERE request_id = 'session:msg_empty')",
[],
|row| row.get(0),
)?;
assert!(!empty_exists, "全 0 token 的 message 应被跳过");
drop(conn);
fs::remove_dir_all(&tmp).ok();
Ok(())
}
} }
File diff suppressed because it is too large Load Diff
+5 -5
View File
@@ -328,7 +328,7 @@ async fn query_claude_quota(access_token: &str) -> SubscriptionQuota {
.header("Authorization", format!("Bearer {access_token}")) .header("Authorization", format!("Bearer {access_token}"))
.header("anthropic-beta", "oauth-2025-04-20") .header("anthropic-beta", "oauth-2025-04-20")
.header("Accept", "application/json") .header("Accept", "application/json")
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -668,7 +668,7 @@ pub(crate) async fn query_codex_quota(
req = req.header("ChatGPT-Account-Id", id); req = req.header("ChatGPT-Account-Id", id);
} }
let resp = match req.timeout(std::time::Duration::from_secs(10)).send().await { let resp = match req.timeout(std::time::Duration::from_secs(15)).send().await {
Ok(r) => r, Ok(r) => r,
Err(e) => { Err(e) => {
return SubscriptionQuota::error( return SubscriptionQuota::error(
@@ -964,7 +964,7 @@ async fn refresh_gemini_token(refresh_token: &str) -> Option<String> {
("refresh_token", refresh_token), ("refresh_token", refresh_token),
("grant_type", "refresh_token"), ("grant_type", "refresh_token"),
]) ])
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await .await
.ok()?; .ok()?;
@@ -1048,7 +1048,7 @@ async fn query_gemini_quota(access_token: &str) -> SubscriptionQuota {
"pluginType": "GEMINI" "pluginType": "GEMINI"
} }
})) }))
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await; .await;
@@ -1109,7 +1109,7 @@ async fn query_gemini_quota(access_token: &str) -> SubscriptionQuota {
.header("Authorization", format!("Bearer {access_token}")) .header("Authorization", format!("Bearer {access_token}"))
.header("Content-Type", "application/json") .header("Content-Type", "application/json")
.json(&quota_body) .json(&quota_body)
.timeout(std::time::Duration::from_secs(10)) .timeout(std::time::Duration::from_secs(15))
.send() .send()
.await; .await;
File diff suppressed because it is too large Load Diff
+91
View File
@@ -287,6 +287,10 @@ pub struct LocalMigrations {
Option<CodexThirdPartyHistoryProviderBucketMigration>, Option<CodexThirdPartyHistoryProviderBucketMigration>,
#[serde(default, skip_serializing_if = "Option::is_none")] #[serde(default, skip_serializing_if = "Option::is_none")]
pub codex_provider_template_v1: Option<CodexProviderTemplateMigration>, pub codex_provider_template_v1: Option<CodexProviderTemplateMigration>,
/// 统一会话开关的官方历史迁移标记。开关关闭时会被清除,
/// 这样重新开启能把"关闭期间"落入 openai 桶的官方会话补迁进来。
#[serde(default, skip_serializing_if = "Option::is_none")]
pub codex_official_history_unify_v1: Option<CodexOfficialHistoryUnifyMigration>,
} }
#[derive(Debug, Clone, Serialize, Deserialize)] #[derive(Debug, Clone, Serialize, Deserialize)]
@@ -312,6 +316,21 @@ pub struct CodexProviderTemplateMigration {
pub migrated_provider_ids: Vec<String>, pub migrated_provider_ids: Vec<String>,
} }
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct CodexOfficialHistoryUnifyMigration {
pub completed_at: String,
pub target_provider_id: String,
#[serde(default)]
pub migrated_jsonl_files: usize,
#[serde(default)]
pub migrated_state_rows: usize,
/// 迁移时的规范化 Codex 目录。标记只对同一目录生效:
/// 切换 codex_config_dir 后旧标记不会挡住新目录的迁移。
#[serde(default, skip_serializing_if = "Option::is_none")]
pub codex_config_dir: Option<String>,
}
/// 应用设置结构 /// 应用设置结构
/// ///
/// 存储设备级别设置,保存在本地 `~/.cc-switch/settings.json`,不随数据库同步。 /// 存储设备级别设置,保存在本地 `~/.cc-switch/settings.json`,不随数据库同步。
@@ -357,6 +376,16 @@ pub struct AppSettings {
/// Opt-in: defaults to false so third-party switches cleanly overwrite auth.json. /// Opt-in: defaults to false so third-party switches cleanly overwrite auth.json.
#[serde(default)] #[serde(default)]
pub preserve_codex_official_auth_on_switch: bool, pub preserve_codex_official_auth_on_switch: bool,
/// Run official Codex providers under the shared "custom" model_provider id
/// so official sessions share one resume-history bucket with third-party
/// providers. Opt-in: defaults to false.
#[serde(default)]
pub unify_codex_session_history: bool,
/// User opted in (via the enable dialog checkbox) to migrate existing
/// official sessions ("openai" bucket) into the shared bucket. Persisted so
/// a failed migration retries at startup; cleared when the toggle turns off.
#[serde(default, skip_serializing_if = "Option::is_none")]
pub unify_codex_migrate_existing: Option<bool>,
/// User has confirmed the failover toggle first-run notice /// User has confirmed the failover toggle first-run notice
#[serde(default, skip_serializing_if = "Option::is_none")] #[serde(default, skip_serializing_if = "Option::is_none")]
pub failover_confirmed: Option<bool>, pub failover_confirmed: Option<bool>,
@@ -475,6 +504,8 @@ impl Default for AppSettings {
stream_check_confirmed: None, stream_check_confirmed: None,
enable_failover_toggle: false, enable_failover_toggle: false,
preserve_codex_official_auth_on_switch: false, preserve_codex_official_auth_on_switch: false,
unify_codex_session_history: false,
unify_codex_migrate_existing: None,
failover_confirmed: None, failover_confirmed: None,
first_run_notice_confirmed: None, first_run_notice_confirmed: None,
common_config_confirmed: None, common_config_confirmed: None,
@@ -759,6 +790,56 @@ pub fn mark_codex_provider_template_migrated(
}) })
} }
/// 统一会话迁移标记是否覆盖指定目录。标记里没记目录(不应出现的旧格式)
/// 视为不匹配——重跑迁移是幂等的,宁可重迁也不漏迁。
pub fn is_codex_official_history_unify_migrated_for_dir(codex_dir: &str) -> bool {
get_settings()
.local_migrations
.as_ref()
.and_then(|migrations| migrations.codex_official_history_unify_v1.as_ref())
.is_some_and(|migration| migration.codex_config_dir.as_deref() == Some(codex_dir))
}
/// 条件写入迁移完成标记:仅当此刻开关仍开启且迁移意愿仍在时才写。
/// 检查与写入在 settings 写锁内原子完成,与关闭开关路径
/// `update_settings` / 清标记)串行,消除"迁移线程复查开关后、写标记前
/// 用户恰好关闭开关"的竞态窗口。返回是否实际写入。
pub fn mark_codex_official_history_unify_migrated_if_enabled(
migration: CodexOfficialHistoryUnifyMigration,
) -> Result<bool, AppError> {
let mut written = false;
mutate_settings(|settings| {
if settings.unify_codex_session_history
&& settings.unify_codex_migrate_existing.unwrap_or(false)
{
settings
.local_migrations
.get_or_insert_with(Default::default)
.codex_official_history_unify_v1 = Some(migration);
written = true;
}
})?;
Ok(written)
}
pub fn clear_codex_official_history_unify_migration() -> Result<(), AppError> {
mutate_settings(|settings| {
if let Some(migrations) = settings.local_migrations.as_mut() {
migrations.codex_official_history_unify_v1 = None;
}
})
}
pub fn unify_codex_migrate_existing_requested() -> bool {
get_settings().unify_codex_migrate_existing.unwrap_or(false)
}
pub fn clear_codex_unify_migrate_existing() -> Result<(), AppError> {
mutate_settings(|settings| {
settings.unify_codex_migrate_existing = None;
})
}
/// 从文件重新加载设置到内存缓存 /// 从文件重新加载设置到内存缓存
/// 用于导入配置等场景,确保内存缓存与文件同步 /// 用于导入配置等场景,确保内存缓存与文件同步
pub fn reload_settings() -> Result<(), AppError> { pub fn reload_settings() -> Result<(), AppError> {
@@ -829,6 +910,16 @@ pub fn preserve_codex_official_auth_on_switch() -> bool {
.preserve_codex_official_auth_on_switch .preserve_codex_official_auth_on_switch
} }
pub fn unify_codex_session_history() -> bool {
settings_store()
.read()
.unwrap_or_else(|e| {
log::warn!("设置锁已毒化,使用恢复值: {e}");
e.into_inner()
})
.unify_codex_session_history
}
// ===== 当前供应商管理函数 ===== // ===== 当前供应商管理函数 =====
/// 获取指定应用类型的当前供应商 ID(从本地 settings 读取) /// 获取指定应用类型的当前供应商 ID(从本地 settings 读取)
+1 -1
View File
@@ -1,7 +1,7 @@
{ {
"$schema": "https://schema.tauri.app/config/2", "$schema": "https://schema.tauri.app/config/2",
"productName": "CC Switch", "productName": "CC Switch",
"version": "3.16.2", "version": "3.16.3",
"identifier": "com.ccswitch.desktop", "identifier": "com.ccswitch.desktop",
"build": { "build": {
"frontendDist": "../dist", "frontendDist": "../dist",
+27
View File
@@ -588,3 +588,30 @@ fn switch_provider_codex_missing_auth_returns_error_and_keeps_state() {
"current provider should remain empty or be the attempted id on failure, got: {current_id:?}" "current provider should remain empty or be the attempted id on failure, got: {current_id:?}"
); );
} }
#[test]
fn import_refuses_live_config_under_proxy_takeover() {
let _guard = test_mutex().lock().expect("acquire test mutex");
reset_test_fs();
ensure_test_home();
// 接管态 Codex Liveauth 是 PROXY_MANAGED 占位符,不是用户真实配置
let auth = json!({"OPENAI_API_KEY": "PROXY_MANAGED"});
let config = r#"model = "gpt-5"
"#;
write_codex_live_atomic(&auth, Some(config)).expect("seed taken-over codex live");
let state = create_test_state().expect("create test state");
import_default_config_test_hook(&state, AppType::Codex)
.expect_err("importing a taken-over live config must fail");
let providers = state
.db
.get_all_providers(AppType::Codex.as_str())
.expect("get codex providers");
assert!(
providers.is_empty(),
"taken-over live import must not create providers"
);
}
+59
View File
@@ -1911,3 +1911,62 @@ fn provider_service_delete_current_provider_returns_error() {
other => panic!("expected Config/Message error, got {other:?}"), other => panic!("expected Config/Message error, got {other:?}"),
} }
} }
#[test]
fn recover_from_crash_without_backup_cleans_placeholder_instead_of_writing_it_back() {
let _guard = test_mutex().lock().expect("acquire test mutex");
reset_test_fs();
let _home = ensure_test_home();
// 接管态 Claude Live,且 DB 中无备份(模拟切换 app_config_dir 后新库首启的场景)
let taken_over_live = json!({
"env": {
"ANTHROPIC_BASE_URL": "http://127.0.0.1:15721",
"ANTHROPIC_AUTH_TOKEN": "PROXY_MANAGED"
}
});
let settings_path = get_claude_settings_path();
std::fs::create_dir_all(settings_path.parent().expect("settings dir")).expect("create dir");
std::fs::write(
&settings_path,
serde_json::to_string_pretty(&taken_over_live).expect("serialize taken over live"),
)
.expect("write taken over live");
let state = create_test_state().expect("create test state");
// 模拟历史异常:接管态 Live 已被导入成 current providerSSOT 被污染)
let provider = Provider::with_id(
"default".to_string(),
"default".to_string(),
taken_over_live.clone(),
None,
);
state
.db
.save_provider(AppType::Claude.as_str(), &provider)
.expect("save placeholder provider");
state
.db
.set_current_provider(AppType::Claude.as_str(), "default")
.expect("set current provider");
futures::executor::block_on(state.proxy_service.recover_from_crash())
.expect("recover from crash");
let live_after: serde_json::Value =
read_json_file(&settings_path).expect("read live settings after recovery");
let env = live_after.get("env").cloned().unwrap_or_else(|| json!({}));
assert_ne!(
env.get("ANTHROPIC_AUTH_TOKEN").and_then(|v| v.as_str()),
Some("PROXY_MANAGED"),
"recovery must not write the placeholder back to live"
);
assert!(
env.get("ANTHROPIC_BASE_URL")
.and_then(|v| v.as_str())
.map(|url| !url.starts_with("http://127.0.0.1"))
.unwrap_or(true),
"recovery must drop the local proxy base URL"
);
}
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+31 -2
View File
@@ -1,3 +1,4 @@
import { useEffect, useState } from "react";
import { import {
Dialog, Dialog,
DialogContent, DialogContent,
@@ -7,6 +8,7 @@ import {
DialogTitle, DialogTitle,
} from "@/components/ui/dialog"; } from "@/components/ui/dialog";
import { Button } from "@/components/ui/button"; import { Button } from "@/components/ui/button";
import { Checkbox } from "@/components/ui/checkbox";
import { AlertTriangle, Info } from "lucide-react"; import { AlertTriangle, Info } from "lucide-react";
import { useTranslation } from "react-i18next"; import { useTranslation } from "react-i18next";
@@ -18,7 +20,10 @@ interface ConfirmDialogProps {
cancelText?: string; cancelText?: string;
variant?: "destructive" | "info"; variant?: "destructive" | "info";
zIndex?: "base" | "nested" | "alert" | "top"; zIndex?: "base" | "nested" | "alert" | "top";
onConfirm: () => void; /** 可选勾选项:提供 label 即显示,勾选状态经 onConfirm 参数回传 */
checkboxLabel?: string;
checkboxDefaultChecked?: boolean;
onConfirm: (checkboxChecked: boolean) => void;
onCancel: () => void; onCancel: () => void;
} }
@@ -30,10 +35,21 @@ export function ConfirmDialog({
cancelText, cancelText,
variant = "destructive", variant = "destructive",
zIndex = "alert", zIndex = "alert",
checkboxLabel,
checkboxDefaultChecked = false,
onConfirm, onConfirm,
onCancel, onCancel,
}: ConfirmDialogProps) { }: ConfirmDialogProps) {
const { t } = useTranslation(); const { t } = useTranslation();
const [checkboxChecked, setCheckboxChecked] = useState(
checkboxDefaultChecked,
);
useEffect(() => {
if (isOpen) {
setCheckboxChecked(checkboxDefaultChecked);
}
}, [isOpen, checkboxDefaultChecked]);
const IconComponent = variant === "info" ? Info : AlertTriangle; const IconComponent = variant === "info" ? Info : AlertTriangle;
const iconClass = const iconClass =
@@ -58,13 +74,26 @@ export function ConfirmDialog({
{message} {message}
</DialogDescription> </DialogDescription>
</DialogHeader> </DialogHeader>
{checkboxLabel ? (
<label className="flex cursor-pointer select-none items-start gap-2 px-6 pt-3">
<Checkbox
checked={checkboxChecked}
onCheckedChange={(value) => setCheckboxChecked(value === true)}
className="mt-0.5"
/>
<span className="text-sm leading-relaxed">{checkboxLabel}</span>
</label>
) : null}
<DialogFooter className="flex gap-2 border-t-0 bg-transparent pt-2 sm:justify-end"> <DialogFooter className="flex gap-2 border-t-0 bg-transparent pt-2 sm:justify-end">
<Button variant="outline" onClick={onCancel}> <Button variant="outline" onClick={onCancel}>
{cancelText || t("common.cancel")} {cancelText || t("common.cancel")}
</Button> </Button>
<Button <Button
variant={variant === "info" ? "default" : "destructive"} variant={variant === "info" ? "default" : "destructive"}
onClick={onConfirm} onClick={() =>
// 未渲染勾选框时不得回传 defaultChecked 残留值
onConfirm(checkboxLabel ? checkboxChecked : false)
}
> >
{confirmText || t("common.confirm")} {confirmText || t("common.confirm")}
</Button> </Button>
+15 -8
View File
@@ -331,6 +331,14 @@ const UsageScriptModal: React.FC<UsageScriptModalProps> = ({
const [testing, setTesting] = useState(false); const [testing, setTesting] = useState(false);
// {{apiKey}}/{{baseUrl}} 实际注入值,镜像后端 resolve_script_credentials 的
// 优先级:脚本配置中的显式非空值优先(旧配置可能携带),否则回退供应商凭据。
const effectiveScriptCredentials = {
apiKey: script.apiKey?.trim() || providerCredentials.apiKey,
baseUrl:
script.baseUrl?.trim().replace(/\/+$/, "") || providerCredentials.baseUrl,
};
// 🔧 失焦时的验证(严格)- 仅确保有效整数 // 🔧 失焦时的验证(严格)- 仅确保有效整数
const validateTimeout = (value: string): number => { const validateTimeout = (value: string): number => {
const num = Number(value); const num = Number(value);
@@ -678,13 +686,12 @@ const UsageScriptModal: React.FC<UsageScriptModalProps> = ({
const preset = PRESET_TEMPLATES[presetName]; const preset = PRESET_TEMPLATES[presetName];
if (preset !== undefined) { if (preset !== undefined) {
if (presetName === TEMPLATE_TYPES.CUSTOM) { if (presetName === TEMPLATE_TYPES.CUSTOM) {
// 🔧 自定义模式:用户应该在脚本中直接写完整 URL 和凭证,而不是依赖变量替换 // 自定义模板没有凭证输入框:清空显式覆盖值后,测试与真实查询
// 这样可以避免同源检查导致的问题 // 都会在后端回退到供应商配置(Provider::resolve_usage_credentials),
// 如果用户想使用变量,需要手动在配置中设置 baseUrl/apiKey // 与下方“支持的变量”区域展示的 {{apiKey}}/{{baseUrl}} 取值一致。
setScript({ setScript({
...script, ...script,
code: preset, code: preset,
// 清除凭证,用户可选择手动输入或保持空
apiKey: undefined, apiKey: undefined,
baseUrl: undefined, baseUrl: undefined,
accessToken: undefined, accessToken: undefined,
@@ -886,9 +893,9 @@ const UsageScriptModal: React.FC<UsageScriptModalProps> = ({
{"{{baseUrl}}"} {"{{baseUrl}}"}
</code> </code>
<span className="text-muted-foreground/50">=</span> <span className="text-muted-foreground/50">=</span>
{providerCredentials.baseUrl ? ( {effectiveScriptCredentials.baseUrl ? (
<code className="text-foreground/70 break-all font-mono"> <code className="text-foreground/70 break-all font-mono">
{providerCredentials.baseUrl} {effectiveScriptCredentials.baseUrl}
</code> </code>
) : ( ) : (
<span className="text-muted-foreground/50 italic"> <span className="text-muted-foreground/50 italic">
@@ -903,11 +910,11 @@ const UsageScriptModal: React.FC<UsageScriptModalProps> = ({
{"{{apiKey}}"} {"{{apiKey}}"}
</code> </code>
<span className="text-muted-foreground/50">=</span> <span className="text-muted-foreground/50">=</span>
{providerCredentials.apiKey ? ( {effectiveScriptCredentials.apiKey ? (
<> <>
{showApiKey ? ( {showApiKey ? (
<code className="text-foreground/70 break-all font-mono"> <code className="text-foreground/70 break-all font-mono">
{providerCredentials.apiKey} {effectiveScriptCredentials.apiKey}
</code> </code>
) : ( ) : (
<code className="text-foreground/70 font-mono"> <code className="text-foreground/70 font-mono">
+3 -3
View File
@@ -1,4 +1,5 @@
import { import {
Activity,
BarChart3, BarChart3,
Check, Check,
Copy, Copy,
@@ -8,7 +9,6 @@ import {
Play, Play,
Plus, Plus,
Terminal, Terminal,
TestTube2,
Trash2, Trash2,
Zap, Zap,
} from "lucide-react"; } from "lucide-react";
@@ -310,7 +310,7 @@ export function ProviderActions({
variant="ghost" variant="ghost"
onClick={onTest || undefined} onClick={onTest || undefined}
disabled={isTesting} disabled={isTesting}
title={t("modelTest.testProvider", "测试模型")} title={t("provider.connectivityCheck", "检测连通")}
className={cn( className={cn(
iconButtonClass, iconButtonClass,
!onTest && "opacity-40 cursor-not-allowed text-muted-foreground", !onTest && "opacity-40 cursor-not-allowed text-muted-foreground",
@@ -319,7 +319,7 @@ export function ProviderActions({
{isTesting ? ( {isTesting ? (
<Loader2 className="h-4 w-4 animate-spin" /> <Loader2 className="h-4 w-4 animate-spin" />
) : ( ) : (
<TestTube2 className="h-4 w-4" /> <Activity className="h-4 w-4" />
)} )}
</Button> </Button>
+6 -8
View File
@@ -232,9 +232,6 @@ export function ProviderCard({
provider.meta?.apiFormat, provider.meta?.apiFormat,
(provider.settingsConfig as Record<string, any>)?.config, (provider.settingsConfig as Record<string, any>)?.config,
]); ]);
const isClaudeThirdParty =
appId === "claude" && provider.category === "third_party";
// 获取用量数据以判断是否有多套餐 // 获取用量数据以判断是否有多套餐
// 累加模式应用(OpenCode/OpenClaw/Hermes):使用 isInConfig 代替 isCurrent // 累加模式应用(OpenCode/OpenClaw/Hermes):使用 isInConfig 代替 isCurrent
const shouldAutoQuery = const shouldAutoQuery =
@@ -551,11 +548,12 @@ export function ProviderCard({
onEdit={() => onEdit(provider)} onEdit={() => onEdit(provider)}
onDuplicate={() => onDuplicate(provider)} onDuplicate={() => onDuplicate(provider)}
onTest={ onTest={
onTest && // 连通检测对第三方/自定义/Copilot/Codex-OAuth 供应商开放(这些正是旧的
!isOfficial && // 真实请求探测会误报、而可达性探测能正确处理的对象)。官方供应商
!isCopilot && // (category === "official") 一律隐藏:它们 base_url 故意留空、走客户端
!isCodexOauth && // 默认/OAuth 端点,cc-switch 没有可靠的探测目标(尤其 Claude Desktop
!isClaudeThirdParty // 官方是原生 1P 模式,根本不在请求路径上)。
onTest && provider.category !== "official"
? () => onTest(provider) ? () => onTest(provider)
: undefined : undefined
} }
+3 -48
View File
@@ -45,8 +45,6 @@ import {
import { useCallback } from "react"; import { useCallback } from "react";
import { Input } from "@/components/ui/input"; import { Input } from "@/components/ui/input";
import { Button } from "@/components/ui/button"; import { Button } from "@/components/ui/button";
import { ConfirmDialog } from "@/components/ConfirmDialog";
import { settingsApi } from "@/lib/api/settings";
interface ProviderListProps { interface ProviderListProps {
providers: Record<string, Provider>; providers: Record<string, Provider>;
@@ -192,9 +190,6 @@ export function ProviderList({
const [searchTerm, setSearchTerm] = useState(""); const [searchTerm, setSearchTerm] = useState("");
const [isSearchOpen, setIsSearchOpen] = useState(false); const [isSearchOpen, setIsSearchOpen] = useState(false);
const searchInputRef = useRef<HTMLInputElement>(null); const searchInputRef = useRef<HTMLInputElement>(null);
const [showStreamCheckConfirm, setShowStreamCheckConfirm] = useState(false);
const [pendingTestProvider, setPendingTestProvider] =
useState<Provider | null>(null);
const { data: claudeDesktopStatus } = useQuery({ const { data: claudeDesktopStatus } = useQuery({
queryKey: ["claudeDesktopStatus"], queryKey: ["claudeDesktopStatus"],
queryFn: () => providersApi.getClaudeDesktopStatus(), queryFn: () => providersApi.getClaudeDesktopStatus(),
@@ -202,41 +197,14 @@ export function ProviderList({
refetchInterval: appId === "claude-desktop" ? 5000 : false, refetchInterval: appId === "claude-desktop" ? 5000 : false,
}); });
// Query settings for streamCheckConfirmed flag // 连通性检查不发真实请求、无封号/计费风险,直接执行(无需确认弹窗)。
const { data: settings } = useQuery({
queryKey: ["settings"],
queryFn: () => settingsApi.get(),
});
const handleTest = useCallback( const handleTest = useCallback(
(provider: Provider) => { (provider: Provider) => {
if (!settings?.streamCheckConfirmed) { checkProvider(provider.id, provider.name);
setPendingTestProvider(provider);
setShowStreamCheckConfirm(true);
} else {
checkProvider(provider.id, provider.name);
}
}, },
[checkProvider, settings?.streamCheckConfirmed], [checkProvider],
); );
const handleStreamCheckConfirm = async () => {
setShowStreamCheckConfirm(false);
try {
if (settings) {
const { webdavSync: _, ...rest } = settings;
await settingsApi.save({ ...rest, streamCheckConfirmed: true });
await queryClient.invalidateQueries({ queryKey: ["settings"] });
}
} catch (error) {
console.error("Failed to save stream check confirmed:", error);
}
if (pendingTestProvider) {
checkProvider(pendingTestProvider.id, pendingTestProvider.name);
setPendingTestProvider(null);
}
};
// Import current live config as default provider // Import current live config as default provider
const queryClient = useQueryClient(); const queryClient = useQueryClient();
const importMutation = useMutation({ const importMutation = useMutation({
@@ -558,19 +526,6 @@ export function ProviderList({
) : ( ) : (
renderProviderList() renderProviderList()
)} )}
<ConfirmDialog
isOpen={showStreamCheckConfirm}
variant="info"
title={t("confirm.streamCheck.title")}
message={t("confirm.streamCheck.message")}
confirmText={t("confirm.streamCheck.confirm")}
onConfirm={() => void handleStreamCheckConfirm()}
onCancel={() => {
setShowStreamCheckConfirm(false);
setPendingTestProvider(null);
}}
/>
</div> </div>
); );
} }
@@ -117,7 +117,7 @@ const CLAUDE_ROUTE_PREFIX = "claude-";
const ANTHROPIC_CLAUDE_ROUTE_PREFIX = "anthropic/claude-"; const ANTHROPIC_CLAUDE_ROUTE_PREFIX = "anthropic/claude-";
const LEGACY_ONE_M_MARKER = "[1m]"; const LEGACY_ONE_M_MARKER = "[1m]";
const ROLE_ROUTE_IDS = CLAUDE_DESKTOP_ROLE_ROUTE_IDS; const ROLE_ROUTE_IDS = CLAUDE_DESKTOP_ROLE_ROUTE_IDS;
const ROLE_ORDER: RouteRole[] = ["sonnet", "opus", "haiku"]; const ROLE_ORDER: RouteRole[] = ["sonnet", "opus", "fable", "haiku"];
function envString( function envString(
settingsConfig: Record<string, unknown> | undefined, settingsConfig: Record<string, unknown> | undefined,
@@ -138,8 +138,10 @@ function clonePlainRecord(value: unknown): Record<string, unknown> {
function routeRoleFromId(route: string): RouteRole { function routeRoleFromId(route: string): RouteRole {
const normalized = route.trim().toLowerCase(); const normalized = route.trim().toLowerCase();
// 与后端 claude_role_keyword 同序(opus → haiku → fable → sonnet)。
if (normalized.includes("opus")) return "opus"; if (normalized.includes("opus")) return "opus";
if (normalized.includes("haiku")) return "haiku"; if (normalized.includes("haiku")) return "haiku";
if (normalized.includes("fable")) return "fable";
return "sonnet"; return "sonnet";
} }
@@ -193,9 +195,10 @@ function initialRouteRows(
}); });
} }
// Proxy 模式对齐 Claude Code:固定 Sonnet / Opus / Haiku 档。 // Proxy 模式对齐 Claude Code:固定 Sonnet / Opus / Fable / Haiku 档。
// 把任意来源的 route 行按角色归类到固定槽(缺档留空),保证 UI 永远行、 // 把任意来源的 route 行按角色归类到固定槽(缺档留空),保证 UI 永远行、
// 用户不会漏配 Haiku 导致子 agent 找不到模型。 // 用户不会漏配某档导致子 agent 找不到模型。
// fable 自 Desktop 1.12603.1+ 起被 fail-all 校验放行,可作为独立档位。)
function normalizeProxyRows(rows: RouteRow[]): RouteRow[] { function normalizeProxyRows(rows: RouteRow[]): RouteRow[] {
return ROLE_ORDER.map((role) => { return ROLE_ORDER.map((role) => {
const match = rows.find( const match = rows.find(
@@ -221,7 +224,8 @@ function isClaudeSafeRoute(route: string) {
// 角色前缀后必须还有实际模型标识,拒绝 claude-sonnet- 这类退化值 // 角色前缀后必须还有实际模型标识,拒绝 claude-sonnet- 这类退化值
// (否则会写入 profile 并触发 Claude Desktop fail-all 拒收整组)。 // (否则会写入 profile 并触发 Claude Desktop fail-all 拒收整组)。
return ["sonnet-", "opus-", "haiku-"].some( // 与后端 is_claude_safe_model_id 镜像;fable 自 Desktop 1.12603.1+ 起被校验放行。
return ["sonnet-", "opus-", "haiku-", "fable-"].some(
(prefix) => (prefix) =>
routeTail.startsWith(prefix) && routeTail.length > prefix.length, routeTail.startsWith(prefix) && routeTail.length > prefix.length,
); );
@@ -574,9 +578,9 @@ export function ClaudeDesktopProviderForm({
.filter((route) => route.route || route.model); .filter((route) => route.route || route.model);
if (mode === "proxy") { if (mode === "proxy") {
// 固定档(Sonnet / Opus / Haiku),route_id 由 UI 生成、恒合法, // 固定档(Sonnet / Opus / Fable / Haiku),route_id 由 UI 生成、恒合法,
// 因此只要求至少填一个实际请求模型;留空档继承第一个已填档(Sonnet 优先), // 因此只要求至少填一个实际请求模型;留空档继承第一个已填档(Sonnet 优先),
// 对齐 Claude Code 的兜底,保证落库档齐全、子 agent 不会找不到 Haiku // 对齐 Claude Code 的兜底,保证落库档齐全、子 agent 不会找不到模型
const primary = routeEntries.find((route) => route.model); const primary = routeEntries.find((route) => route.model);
if (!primary) { if (!primary) {
toast.error( toast.error(
@@ -931,9 +935,22 @@ export function ClaudeDesktopProviderForm({
? t("claudeDesktop.routeRoleHaiku", { ? t("claudeDesktop.routeRoleHaiku", {
defaultValue: "Haiku", defaultValue: "Haiku",
}) })
: t("claudeDesktop.routeRoleSonnet", { : role === "fable"
defaultValue: "Sonnet", ? t("claudeDesktop.routeRoleFable", {
}); defaultValue: "Fable",
})
: t("claudeDesktop.routeRoleSonnet", {
defaultValue: "Sonnet",
});
// Haiku 档示范映射到轻量模型(flash),其余档映射到 pro;
// 两列占位联动,保持每行「菜单显示名 ↔ 实际请求模型」品牌一致。
const isHaikuRole = role === "haiku";
const labelPlaceholder = isHaikuRole
? "DeepSeek V4 Flash"
: "DeepSeek V4 Pro";
const modelPlaceholder = isHaikuRole
? "deepseek-v4-flash"
: "deepseek-v4-pro";
return ( return (
<div <div
key={route.rowId} key={route.rowId}
@@ -949,7 +966,7 @@ export function ClaudeDesktopProviderForm({
labelOverride: event.target.value, labelOverride: event.target.value,
}) })
} }
placeholder="DeepSeek V4 Pro" placeholder={labelPlaceholder}
/> />
<div className="flex gap-1"> <div className="flex gap-1">
<Input <Input
@@ -957,7 +974,7 @@ export function ClaudeDesktopProviderForm({
onChange={(event) => onChange={(event) =>
updateRoute(index, { model: event.target.value }) updateRoute(index, { model: event.target.value })
} }
placeholder="kimi-k2 / deepseek-chat" placeholder={modelPlaceholder}
className="flex-1" className="flex-1"
/> />
{fetchedModels.length > 0 && ( {fetchedModels.length > 0 && (
@@ -47,6 +47,7 @@ import {
showFetchModelsError, showFetchModelsError,
type FetchedModel, type FetchedModel,
} from "@/lib/api/model-fetch"; } from "@/lib/api/model-fetch";
import { CustomUserAgentField } from "./CustomUserAgentField";
import type { import type {
ProviderCategory, ProviderCategory,
ClaudeApiFormat, ClaudeApiFormat,
@@ -122,6 +123,8 @@ interface ClaudeFormFieldsProps {
defaultSonnetModelName: string; defaultSonnetModelName: string;
defaultOpusModel: string; defaultOpusModel: string;
defaultOpusModelName: string; defaultOpusModelName: string;
defaultFableModel: string;
defaultFableModelName: string;
onModelChange: (field: ClaudeModelEnvField, value: string) => void; onModelChange: (field: ClaudeModelEnvField, value: string) => void;
// Speed Test Endpoints // Speed Test Endpoints
@@ -138,6 +141,10 @@ interface ClaudeFormFieldsProps {
// Full URL mode // Full URL mode
isFullUrl: boolean; isFullUrl: boolean;
onFullUrlChange: (value: boolean) => void; onFullUrlChange: (value: boolean) => void;
// Local proxy User-Agent override
customUserAgent: string;
onCustomUserAgentChange: (value: string) => void;
} }
export function ClaudeFormFields({ export function ClaudeFormFields({
@@ -182,6 +189,8 @@ export function ClaudeFormFields({
defaultSonnetModelName, defaultSonnetModelName,
defaultOpusModel, defaultOpusModel,
defaultOpusModelName, defaultOpusModelName,
defaultFableModel,
defaultFableModelName,
onModelChange, onModelChange,
speedTestEndpoints, speedTestEndpoints,
apiFormat, apiFormat,
@@ -190,6 +199,8 @@ export function ClaudeFormFields({
onApiKeyFieldChange, onApiKeyFieldChange,
isFullUrl, isFullUrl,
onFullUrlChange, onFullUrlChange,
customUserAgent,
onCustomUserAgentChange,
}: ClaudeFormFieldsProps) { }: ClaudeFormFieldsProps) {
const { t } = useTranslation(); const { t } = useTranslation();
const hasAnyAdvancedValue = !!( const hasAnyAdvancedValue = !!(
@@ -197,8 +208,10 @@ export function ClaudeFormFields({
defaultHaikuModel || defaultHaikuModel ||
defaultSonnetModel || defaultSonnetModel ||
defaultOpusModel || defaultOpusModel ||
defaultFableModel ||
apiFormat !== "anthropic" || apiFormat !== "anthropic" ||
apiKeyField !== "ANTHROPIC_AUTH_TOKEN" apiKeyField !== "ANTHROPIC_AUTH_TOKEN" ||
customUserAgent
); );
const [advancedExpanded, setAdvancedExpanded] = useState(hasAnyAdvancedValue); const [advancedExpanded, setAdvancedExpanded] = useState(hasAnyAdvancedValue);
@@ -251,7 +264,7 @@ export function ClaudeFormFields({
const modelsUrl = matchedPreset?.modelsUrl; const modelsUrl = matchedPreset?.modelsUrl;
setIsFetchingModels(true); setIsFetchingModels(true);
fetchModelsForConfig(baseUrl, apiKey, isFullUrl, modelsUrl) fetchModelsForConfig(baseUrl, apiKey, isFullUrl, modelsUrl, customUserAgent)
.then((models) => { .then((models) => {
setFetchedModels(models); setFetchedModels(models);
showModelFetchResult(models.length); showModelFetchResult(models.length);
@@ -261,7 +274,7 @@ export function ClaudeFormFields({
showFetchModelsError(err, t); showFetchModelsError(err, t);
}) })
.finally(() => setIsFetchingModels(false)); .finally(() => setIsFetchingModels(false));
}, [baseUrl, apiKey, isFullUrl, showModelFetchResult, t]); }, [baseUrl, apiKey, isFullUrl, customUserAgent, showModelFetchResult, t]);
const handleFetchCopilotModels = useCallback(() => { const handleFetchCopilotModels = useCallback(() => {
if (!isCopilotAuthenticated) { if (!isCopilotAuthenticated) {
@@ -487,7 +500,7 @@ export function ClaudeFormFields({
}; };
type ModelRoleRow = { type ModelRoleRow = {
role: "sonnet" | "opus" | "haiku"; role: "sonnet" | "opus" | "fable" | "haiku";
label: string; label: string;
model: string; model: string;
displayName: string; displayName: string;
@@ -518,6 +531,16 @@ export function ClaudeFormFields({
inputId: "claudeDefaultOpusModel", inputId: "claudeDefaultOpusModel",
supportsOneM: true, supportsOneM: true,
}, },
{
role: "fable",
label: t("providerForm.modelRoleFable", { defaultValue: "Fable" }),
model: defaultFableModel,
displayName: defaultFableModelName,
modelField: "ANTHROPIC_DEFAULT_FABLE_MODEL",
displayNameField: "ANTHROPIC_DEFAULT_FABLE_MODEL_NAME",
inputId: "claudeDefaultFableModel",
supportsOneM: true,
},
{ {
role: "haiku", role: "haiku",
label: t("providerForm.modelRoleHaiku", { defaultValue: "Haiku" }), label: t("providerForm.modelRoleHaiku", { defaultValue: "Haiku" }),
@@ -665,7 +688,6 @@ export function ClaudeFormFields({
/> />
)} )}
{/* 高级选项(API 格式 + 认证字段 + 模型映射) */}
{shouldShowModelSelector && ( {shouldShowModelSelector && (
<Collapsible open={advancedExpanded} onOpenChange={setAdvancedExpanded}> <Collapsible open={advancedExpanded} onOpenChange={setAdvancedExpanded}>
<CollapsibleTrigger asChild> <CollapsibleTrigger asChild>
@@ -779,6 +801,7 @@ export function ClaudeFormFields({
claudeModel || claudeModel ||
defaultSonnetModel || defaultSonnetModel ||
defaultOpusModel || defaultOpusModel ||
defaultFableModel ||
defaultHaikuModel; defaultHaikuModel;
if (value) { if (value) {
for (const row of modelRoleRows) { for (const row of modelRoleRows) {
@@ -802,7 +825,8 @@ export function ClaudeFormFields({
!claudeModel && !claudeModel &&
!defaultHaikuModel && !defaultHaikuModel &&
!defaultSonnetModel && !defaultSonnetModel &&
!defaultOpusModel !defaultOpusModel &&
!defaultFableModel
} }
className="h-7 gap-1" className="h-7 gap-1"
> >
@@ -929,10 +953,16 @@ export function ClaudeFormFields({
<p className="text-xs text-muted-foreground"> <p className="text-xs text-muted-foreground">
{t("providerForm.fallbackModelHint", { {t("providerForm.fallbackModelHint", {
defaultValue: defaultValue:
"仅在 Claude Code 请求没有明确落到 Sonnet、OpusHaiku 角色时使用;通常可以留空。", "用于未明确落到 Sonnet、Opus、Fable、Haiku 角色的请求。使用第三方/中转端点时建议填写:否则这些请求(含 Haiku 后台子任务)会以原始 Claude 模型名透传给上游,可能因上游无此模型而报错。官方端点可留空。",
})} })}
</p> </p>
</div> </div>
<CustomUserAgentField
id="claude-custom-user-agent"
value={customUserAgent}
onChange={onCustomUserAgentChange}
/>
</CollapsibleContent> </CollapsibleContent>
</Collapsible> </Collapsible>
)} )}
+282 -212
View File
@@ -25,6 +25,8 @@ import {
showFetchModelsError, showFetchModelsError,
type FetchedModel, type FetchedModel,
} from "@/lib/api/model-fetch"; } from "@/lib/api/model-fetch";
import { CustomUserAgentField } from "./CustomUserAgentField";
import { cn } from "@/lib/utils";
import type { import type {
CodexApiFormat, CodexApiFormat,
CodexCatalogModel, CodexCatalogModel,
@@ -72,6 +74,10 @@ interface CodexFormFieldsProps {
// Speed Test Endpoints // Speed Test Endpoints
speedTestEndpoints: EndpointCandidate[]; speedTestEndpoints: EndpointCandidate[];
// Local proxy User-Agent override
customUserAgent: string;
onCustomUserAgentChange: (value: string) => void;
} }
type CodexCatalogRow = CodexCatalogModel & { rowId: string }; type CodexCatalogRow = CodexCatalogModel & { rowId: string };
@@ -128,12 +134,13 @@ export function CodexFormFields({
catalogModels = [], catalogModels = [],
onCatalogModelsChange, onCatalogModelsChange,
speedTestEndpoints, speedTestEndpoints,
customUserAgent,
onCustomUserAgentChange,
}: CodexFormFieldsProps) { }: CodexFormFieldsProps) {
const { t } = useTranslation(); const { t } = useTranslation();
const [fetchedModels, setFetchedModels] = useState<FetchedModel[]>([]); const [fetchedModels, setFetchedModels] = useState<FetchedModel[]>([]);
const [isFetchingModels, setIsFetchingModels] = useState(false); const [isFetchingModels, setIsFetchingModels] = useState(false);
const [reasoningExpanded, setReasoningExpanded] = useState(false);
const needsLocalRouting = apiFormat === "openai_chat"; const needsLocalRouting = apiFormat === "openai_chat";
const canEditCatalog = Boolean(onCatalogModelsChange); const canEditCatalog = Boolean(onCatalogModelsChange);
const canEditReasoning = Boolean(onCodexChatReasoningChange); const canEditReasoning = Boolean(onCodexChatReasoningChange);
@@ -142,6 +149,17 @@ export function CodexFormFields({
codexChatReasoning.supportsEffort === true; codexChatReasoning.supportsEffort === true;
const supportsEffort = codexChatReasoning.supportsEffort === true; const supportsEffort = codexChatReasoning.supportsEffort === true;
// needsLocalRouting 非默认值说明预设/用户动过路由配置,需要让模型映射保持可见
const hasAnyAdvancedValue = !!customUserAgent || needsLocalRouting;
const [advancedExpanded, setAdvancedExpanded] = useState(hasAnyAdvancedValue);
// 预设/编辑加载填充高级值后自动展开(仅从折叠→展开,不会自动折叠)
useEffect(() => {
if (hasAnyAdvancedValue) {
setAdvancedExpanded(true);
}
}, [hasAnyAdvancedValue]);
const [catalogRows, setCatalogRows] = useState<CodexCatalogRow[]>(() => const [catalogRows, setCatalogRows] = useState<CodexCatalogRow[]>(() =>
catalogModels.map((m) => createCatalogRow(m)), catalogModels.map((m) => createCatalogRow(m)),
); );
@@ -216,7 +234,13 @@ export function CodexFormFields({
return; return;
} }
setIsFetchingModels(true); setIsFetchingModels(true);
fetchModelsForConfig(codexBaseUrl, codexApiKey, isFullUrl) fetchModelsForConfig(
codexBaseUrl,
codexApiKey,
isFullUrl,
undefined,
customUserAgent,
)
.then((models) => { .then((models) => {
setFetchedModels(models); setFetchedModels(models);
if (models.length === 0) { if (models.length === 0) {
@@ -232,7 +256,7 @@ export function CodexFormFields({
showFetchModelsError(err, t); showFetchModelsError(err, t);
}) })
.finally(() => setIsFetchingModels(false)); .finally(() => setIsFetchingModels(false));
}, [codexBaseUrl, codexApiKey, isFullUrl, t]); }, [codexBaseUrl, codexApiKey, isFullUrl, customUserAgent, t]);
const handleAddCatalogRow = useCallback(() => { const handleAddCatalogRow = useCallback(() => {
if (!onCatalogModelsChange) return; if (!onCatalogModelsChange) return;
@@ -321,42 +345,11 @@ export function CodexFormFields({
/> />
)} )}
{shouldShowSpeedTest && ( {/* 高级选项 —— 本地路由映射/模型映射/思考能力/自定义 UA;预设供应商通常无需展开 */}
<div className="space-y-3 rounded-lg border border-border-default bg-muted/20 p-4"> {category !== "official" && (
<div className="flex items-center justify-between gap-4">
<div className="space-y-1">
<FormLabel>
{t("codexConfig.localRoutingToggle", {
defaultValue: "需要本地路由映射",
})}
</FormLabel>
<p className="text-xs leading-relaxed text-muted-foreground">
{needsLocalRouting
? t("codexConfig.localRoutingOnHint", {
defaultValue:
"Codex 目前仅原生支持 OpenAI Responses API 与 GPT 系列模型;如果您的供应商使用 Chat Completions 协议或非 GPT 模型(如 DeepSeek、Kimi),则需要打开本开关,并在使用过程中保持本地路由开启。",
})
: t("codexConfig.localRoutingOffHint", {
defaultValue:
"如果您的供应商不是原生 OpenAI Responses API,或者模型名不是 Codex 默认的 GPT 系列,请打开此开关。",
})}
</p>
</div>
<Switch
checked={needsLocalRouting}
onCheckedChange={handleLocalRoutingChange}
aria-label={t("codexConfig.localRoutingToggle", {
defaultValue: "需要本地路由映射",
})}
/>
</div>
</div>
)}
{needsLocalRouting && canEditReasoning && (
<Collapsible <Collapsible
open={reasoningExpanded} open={advancedExpanded}
onOpenChange={setReasoningExpanded} onOpenChange={setAdvancedExpanded}
className="rounded-lg border border-border-default p-4" className="rounded-lg border border-border-default p-4"
> >
<CollapsibleTrigger asChild> <CollapsibleTrigger asChild>
@@ -366,205 +359,282 @@ export function CodexFormFields({
size="sm" size="sm"
className="h-8 w-full justify-start gap-1.5 px-0 text-sm font-medium text-foreground hover:opacity-70" className="h-8 w-full justify-start gap-1.5 px-0 text-sm font-medium text-foreground hover:opacity-70"
> >
{reasoningExpanded ? ( {advancedExpanded ? (
<ChevronDown className="h-4 w-4" /> <ChevronDown className="h-4 w-4" />
) : ( ) : (
<ChevronRight className="h-4 w-4" /> <ChevronRight className="h-4 w-4" />
)} )}
{t("codexConfig.reasoningSectionToggle", { {t("providerForm.advancedOptionsToggle", {
defaultValue: "思考能力(高级·通常自动识别)", defaultValue: "高级选项",
})} })}
</Button> </Button>
</CollapsibleTrigger> </CollapsibleTrigger>
{!reasoningExpanded && ( {!advancedExpanded && (
<p className="mt-1 ml-1 text-xs text-muted-foreground"> <p className="mt-1 ml-1 text-xs text-muted-foreground">
{t("codexConfig.reasoningSectionHint", { {t("codexConfig.advancedSectionHint", {
defaultValue: defaultValue:
"预设供应商已自动配置;自定义供应商会按名称/地址自动推断。仅当自动识别不准时才需展开手动覆盖。", "包含本地路由映射、模型映射、思考能力与自定义 User-Agent。供应商使用 Chat Completions 协议或非 GPT 模型时,需在此开启本地路由映射。",
})} })}
</p> </p>
)} )}
<CollapsibleContent className="space-y-3 pt-3"> <CollapsibleContent className="space-y-3 pt-3">
<div className="flex items-center justify-between gap-4"> {/* 本地路由映射开关 —— 沿用 shouldShowSpeedTest 门控,cloud_provider 保持不可切换 */}
<div className="space-y-1"> {shouldShowSpeedTest && (
<FormLabel> <div className="flex items-center justify-between gap-4">
{t("codexConfig.reasoningModeToggle", { <div className="space-y-1">
defaultValue: "支持思考模式", <FormLabel>
{t("codexConfig.localRoutingToggle", {
defaultValue: "需要本地路由映射",
})}
</FormLabel>
<p className="text-xs leading-relaxed text-muted-foreground">
{needsLocalRouting
? t("codexConfig.localRoutingOnHint", {
defaultValue:
"Codex 目前仅原生支持 OpenAI Responses API 与 GPT 系列模型;如果您的供应商使用 Chat Completions 协议或非 GPT 模型(如 DeepSeek、Kimi),则需要打开本开关,并在使用过程中保持本地路由开启。",
})
: t("codexConfig.localRoutingOffHint", {
defaultValue:
"如果您的供应商不是原生 OpenAI Responses API,或者模型名不是 Codex 默认的 GPT 系列,请打开此开关。",
})}
</p>
</div>
<Switch
checked={needsLocalRouting}
onCheckedChange={handleLocalRoutingChange}
aria-label={t("codexConfig.localRoutingToggle", {
defaultValue: "需要本地路由映射",
})} })}
</FormLabel> />
<p className="text-xs leading-relaxed text-muted-foreground">
{t("codexConfig.reasoningModeHint", {
defaultValue:
"上游 Chat Completions 接口支持开启或关闭 thinking 时启用。Kimi、GLM、Qwen 等通常属于这一类。",
})}
</p>
</div> </div>
<Switch )}
checked={supportsThinking}
onCheckedChange={handleReasoningThinkingChange}
aria-label={t("codexConfig.reasoningModeToggle", {
defaultValue: "支持思考模式",
})}
/>
</div>
<div className="flex items-center justify-between gap-4 border-t border-border-default pt-3"> {needsLocalRouting && canEditReasoning && (
<div className="space-y-1"> <div
<FormLabel> className={cn(
{t("codexConfig.reasoningEffortToggle", { "space-y-3",
defaultValue: "支持思考等级", shouldShowSpeedTest && "border-t border-border-default pt-3",
})} )}
</FormLabel> >
<p className="text-xs leading-relaxed text-muted-foreground"> <div className="space-y-1">
{t("codexConfig.reasoningEffortHint", { <FormLabel>
defaultValue: {t("codexConfig.reasoningGroupTitle", {
"上游支持 low/high/max 等思考深度控制时启用。启用后会自动启用思考模式,并把 Codex 的 reasoning.effort 转成上游 Chat 参数。", defaultValue: "思考能力",
})} })}
</p> </FormLabel>
</div> <p className="text-xs leading-relaxed text-muted-foreground">
<Switch {t("codexConfig.reasoningSectionHint", {
checked={supportsEffort} defaultValue:
onCheckedChange={handleReasoningEffortChange} "预设供应商已自动配置;自定义供应商会按名称/地址自动推断。仅当自动识别不准时才需手动覆盖。",
aria-label={t("codexConfig.reasoningEffortToggle", { })}
defaultValue: "支持思考等级", </p>
})} </div>
/>
</div>
</CollapsibleContent>
</Collapsible>
)}
{/* Codex 模型映射 —— 仅在本地路由 + 可编辑时显示 */} <div className="flex items-center justify-between gap-4">
{needsLocalRouting && canEditCatalog && ( <div className="space-y-1">
<div className="space-y-4 rounded-lg border border-border-default p-4"> <FormLabel>
<div className="space-y-1"> {t("codexConfig.reasoningModeToggle", {
<div className="flex items-center justify-between gap-3"> defaultValue: "支持思考模式",
<FormLabel> })}
{t("codexConfig.modelMappingTitle", { </FormLabel>
defaultValue: "模型映射", <p className="text-xs leading-relaxed text-muted-foreground">
})} {t("codexConfig.reasoningModeHint", {
</FormLabel> defaultValue:
{renderCatalogActionButtons( "上游 Chat Completions 接口支持开启或关闭 thinking 时启用。Kimi、GLM、Qwen 等通常属于这一类。",
handleAddCatalogRow, })}
t("codexConfig.addCatalogModel", { </p>
defaultValue: "添加模型", </div>
}), <Switch
)} checked={supportsThinking}
</div> onCheckedChange={handleReasoningThinkingChange}
<p className="text-xs leading-relaxed text-muted-foreground"> aria-label={t("codexConfig.reasoningModeToggle", {
{t("codexConfig.modelMappingHint", { defaultValue: "支持思考模式",
defaultValue:
"选择模型角色后,CC Switch 会自动生成 Codex 兼容路由;菜单显示名可以填 DeepSeek、Kimi 等品牌模型,实际请求模型按右侧填写内容发送。",
})}
</p>
</div>
{catalogRows.length > 0 && (
<div className="space-y-2">
{/* 列头:md+ 显示 */}
<div className="hidden grid-cols-[1fr_1fr_140px_36px] gap-2 px-1 text-xs font-medium text-muted-foreground md:grid">
<span>
{t("codexConfig.catalogColumnDisplay", {
defaultValue: "菜单显示名",
})}
</span>
<span>
{t("codexConfig.catalogColumnModel", {
defaultValue: "实际请求模型",
})}
</span>
<span>
{t("codexConfig.catalogColumnContext", {
defaultValue: "上下文窗口",
})}
</span>
<span />
</div>
{catalogRows.map((row, index) => (
<div
key={row.rowId}
className="grid grid-cols-1 gap-2 md:grid-cols-[1fr_1fr_140px_36px]"
>
<Input
value={row.displayName ?? ""}
onChange={(event) =>
handleUpdateCatalogRow(index, {
displayName: event.target.value,
})
}
placeholder={t(
"codexConfig.catalogDisplayNamePlaceholder",
{
defaultValue: "例如: DeepSeek V4 Flash",
},
)}
aria-label={t("codexConfig.catalogColumnDisplay", {
defaultValue: "菜单显示名",
})} })}
/> />
<div className="flex gap-1"> </div>
<Input
value={row.model} <div className="flex items-center justify-between gap-4 border-t border-border-default pt-3">
onChange={(event) => <div className="space-y-1">
handleUpdateCatalogRow(index, { <FormLabel>
model: event.target.value, {t("codexConfig.reasoningEffortToggle", {
}) defaultValue: "支持思考等级",
}
placeholder={t("codexConfig.catalogModelPlaceholder", {
defaultValue: "例如: deepseek-v4-flash",
})} })}
aria-label={t("codexConfig.catalogColumnModel", { </FormLabel>
defaultValue: "实际请求模型", <p className="text-xs leading-relaxed text-muted-foreground">
{t("codexConfig.reasoningEffortHint", {
defaultValue:
"上游支持 low/high/max 等思考深度控制时启用。启用后会自动启用思考模式,并把 Codex 的 reasoning.effort 转成上游 Chat 参数。",
})} })}
className="flex-1" </p>
/> </div>
{fetchedModels.length > 0 && ( <Switch
<ModelDropdown checked={supportsEffort}
models={fetchedModels} onCheckedChange={handleReasoningEffortChange}
onSelect={(id) => aria-label={t("codexConfig.reasoningEffortToggle", {
handleUpdateCatalogRow(index, { defaultValue: "支持思考等级",
model: id, })}
displayName: row.displayName?.trim() />
? row.displayName </div>
: id, </div>
}) )}
}
/> <div
className={cn(
(shouldShowSpeedTest ||
(needsLocalRouting && canEditReasoning)) &&
"border-t border-border-default pt-3",
)}
>
<CustomUserAgentField
id="codex-custom-user-agent"
value={customUserAgent}
onChange={onCustomUserAgentChange}
/>
</div>
{/* 模型映射 —— 仅在本地路由 + 可编辑时显示;上方恒有 UA 字段,分隔线无需条件 */}
{needsLocalRouting && canEditCatalog && (
<div className="space-y-4 border-t border-border-default pt-3">
<div className="space-y-1">
<div className="flex items-center justify-between gap-3">
<FormLabel>
{t("codexConfig.modelMappingTitle", {
defaultValue: "模型映射",
})}
</FormLabel>
{renderCatalogActionButtons(
handleAddCatalogRow,
t("codexConfig.addCatalogModel", {
defaultValue: "添加模型",
}),
)} )}
</div> </div>
<Input <p className="text-xs leading-relaxed text-muted-foreground">
type="number" {t("codexConfig.modelMappingHint", {
min={1} defaultValue:
inputMode="numeric" "选择模型角色后,CC Switch 会自动生成 Codex 兼容路由;菜单显示名可以填 DeepSeek、Kimi 等品牌模型,实际请求模型按右侧填写内容发送。",
value={row.contextWindow ?? ""}
onChange={(event) =>
handleUpdateCatalogRow(index, {
contextWindow: event.target.value.replace(/[^\d]/g, ""),
})
}
placeholder={t("codexConfig.contextWindowPlaceholder", {
defaultValue: "例如: 128000",
})} })}
aria-label={t("codexConfig.catalogColumnContext", { </p>
defaultValue: "上下文窗口",
})}
/>
<Button
type="button"
variant="ghost"
size="icon"
className="h-9 w-9 text-muted-foreground hover:text-destructive"
onClick={() => handleRemoveCatalogRow(index)}
title={t("common.delete", { defaultValue: "删除" })}
>
<Trash2 className="h-4 w-4" />
</Button>
</div> </div>
))}
</div> {catalogRows.length > 0 && (
)} <div className="space-y-2">
</div> {/* 列头:md+ 显示 */}
<div className="hidden grid-cols-[1fr_1fr_140px_36px] gap-2 px-1 text-xs font-medium text-muted-foreground md:grid">
<span>
{t("codexConfig.catalogColumnDisplay", {
defaultValue: "菜单显示名",
})}
</span>
<span>
{t("codexConfig.catalogColumnModel", {
defaultValue: "实际请求模型",
})}
</span>
<span>
{t("codexConfig.catalogColumnContext", {
defaultValue: "上下文窗口",
})}
</span>
<span />
</div>
{catalogRows.map((row, index) => (
<div
key={row.rowId}
className="grid grid-cols-1 gap-2 md:grid-cols-[1fr_1fr_140px_36px]"
>
<Input
value={row.displayName ?? ""}
onChange={(event) =>
handleUpdateCatalogRow(index, {
displayName: event.target.value,
})
}
placeholder={t(
"codexConfig.catalogDisplayNamePlaceholder",
{
defaultValue: "例如: DeepSeek V4 Flash",
},
)}
aria-label={t("codexConfig.catalogColumnDisplay", {
defaultValue: "菜单显示名",
})}
/>
<div className="flex gap-1">
<Input
value={row.model}
onChange={(event) =>
handleUpdateCatalogRow(index, {
model: event.target.value,
})
}
placeholder={t(
"codexConfig.catalogModelPlaceholder",
{
defaultValue: "例如: deepseek-v4-flash",
},
)}
aria-label={t("codexConfig.catalogColumnModel", {
defaultValue: "实际请求模型",
})}
className="flex-1"
/>
{fetchedModels.length > 0 && (
<ModelDropdown
models={fetchedModels}
onSelect={(id) =>
handleUpdateCatalogRow(index, {
model: id,
displayName: row.displayName?.trim()
? row.displayName
: id,
})
}
/>
)}
</div>
<Input
type="number"
min={1}
inputMode="numeric"
value={row.contextWindow ?? ""}
onChange={(event) =>
handleUpdateCatalogRow(index, {
contextWindow: event.target.value.replace(
/[^\d]/g,
"",
),
})
}
placeholder={t(
"codexConfig.contextWindowPlaceholder",
{
defaultValue: "例如: 128000",
},
)}
aria-label={t("codexConfig.catalogColumnContext", {
defaultValue: "上下文窗口",
})}
/>
<Button
type="button"
variant="ghost"
size="icon"
className="h-9 w-9 text-muted-foreground hover:text-destructive"
onClick={() => handleRemoveCatalogRow(index)}
title={t("common.delete", { defaultValue: "删除" })}
>
<Trash2 className="h-4 w-4" />
</Button>
</div>
))}
</div>
)}
</div>
)}
</CollapsibleContent>
</Collapsible>
)} )}
{/* 端点测速弹窗 - Codex */} {/* 端点测速弹窗 - Codex */}
@@ -0,0 +1,96 @@
import { useTranslation } from "react-i18next";
import { ChevronDown } from "lucide-react";
import { FormLabel } from "@/components/ui/form";
import { Input } from "@/components/ui/input";
import { Button } from "@/components/ui/button";
import {
DropdownMenu,
DropdownMenuContent,
DropdownMenuItem,
DropdownMenuTrigger,
} from "@/components/ui/dropdown-menu";
import { isValidUserAgentHeader } from "@/lib/userAgent";
import { USER_AGENT_PRESETS } from "@/config/userAgentPresets";
interface CustomUserAgentFieldProps {
/** 输入框的 id(用于 label htmlFor);两个表单需传入各自唯一值。 */
id: string;
value: string;
onChange: (value: string) => void;
}
/**
* User-Agent Claude / Codex
*
* + + +
* `parse_custom_user_agent` `@/lib/userAgent`
*
*/
export function CustomUserAgentField({
id,
value,
onChange,
}: CustomUserAgentFieldProps) {
const { t } = useTranslation();
const valid = isValidUserAgentHeader(value);
return (
<div className="space-y-2">
<FormLabel htmlFor={id}>
{t("providerForm.customUserAgent", {
defaultValue: "自定义 User-Agent",
})}
</FormLabel>
<div className="flex items-center gap-2">
<Input
id={id}
type="text"
value={value}
onChange={(e) => onChange(e.target.value)}
placeholder="Mozilla/5.0 ..."
autoComplete="off"
className="flex-1"
/>
<DropdownMenu>
<DropdownMenuTrigger asChild>
<Button type="button" variant="outline" className="shrink-0 gap-1">
{t("providerForm.customUserAgentPresets", {
defaultValue: "预设",
})}
<ChevronDown className="h-3.5 w-3.5 opacity-60" />
</Button>
</DropdownMenuTrigger>
<DropdownMenuContent
align="end"
className="max-h-64 overflow-y-auto z-[200]"
>
{USER_AGENT_PRESETS.map((preset) => (
<DropdownMenuItem
key={preset}
onSelect={() => onChange(preset)}
className="font-mono text-xs"
>
{preset}
</DropdownMenuItem>
))}
</DropdownMenuContent>
</DropdownMenu>
</div>
{valid ? (
<p className="text-xs text-muted-foreground">
{t("providerForm.customUserAgentHint", {
defaultValue:
"仅在开启本地路由/代理接管后生效,会替换转发到供应商 API 请求中的 User-Agent。",
})}
</p>
) : (
<p className="text-xs text-destructive">
{t("providerForm.customUserAgentInvalid", {
defaultValue:
"User-Agent 不能包含控制字符(如换行符),否则将被忽略。",
})}
</p>
)}
</div>
);
}
@@ -61,7 +61,7 @@ export function ProviderAdvancedConfig({
<FlaskConical className="h-4 w-4 text-muted-foreground" /> <FlaskConical className="h-4 w-4 text-muted-foreground" />
<span className="font-medium"> <span className="font-medium">
{t("providerAdvanced.testConfig", { {t("providerAdvanced.testConfig", {
defaultValue: "模型测试配置", defaultValue: "连通检测配置",
})} })}
</span> </span>
</div> </div>
@@ -106,31 +106,10 @@ export function ProviderAdvancedConfig({
<p className="text-sm text-muted-foreground"> <p className="text-sm text-muted-foreground">
{t("providerAdvanced.testConfigDesc", { {t("providerAdvanced.testConfigDesc", {
defaultValue: defaultValue:
"为此供应商配置单独的模型测试参数,不启用时使用全局配置。", "为此供应商配置单独的连通检测参数(超时/阈值/重试),不启用时使用全局配置。",
})} })}
</p> </p>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4"> <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="space-y-2">
<Label htmlFor="test-model">
{t("providerAdvanced.testModel", {
defaultValue: "测试模型",
})}
</Label>
<Input
id="test-model"
value={testConfig.testModel || ""}
onChange={(e) =>
onTestConfigChange({
...testConfig,
testModel: e.target.value || undefined,
})
}
placeholder={t("providerAdvanced.testModelPlaceholder", {
defaultValue: "留空使用全局配置",
})}
disabled={!testConfig.enabled}
/>
</div>
<div className="space-y-2"> <div className="space-y-2">
<Label htmlFor="test-timeout"> <Label htmlFor="test-timeout">
{t("providerAdvanced.timeoutSecs", { {t("providerAdvanced.timeoutSecs", {
@@ -141,7 +120,7 @@ export function ProviderAdvancedConfig({
id="test-timeout" id="test-timeout"
type="number" type="number"
min={1} min={1}
max={300} max={60}
value={testConfig.timeoutSecs || ""} value={testConfig.timeoutSecs || ""}
onChange={(e) => onChange={(e) =>
onTestConfigChange({ onTestConfigChange({
@@ -151,26 +130,7 @@ export function ProviderAdvancedConfig({
: undefined, : undefined,
}) })
} }
placeholder="45" placeholder="8"
disabled={!testConfig.enabled}
/>
</div>
<div className="space-y-2">
<Label htmlFor="test-prompt">
{t("providerAdvanced.testPrompt", {
defaultValue: "测试提示词",
})}
</Label>
<Input
id="test-prompt"
value={testConfig.testPrompt || ""}
onChange={(e) =>
onTestConfigChange({
...testConfig,
testPrompt: e.target.value || undefined,
})
}
placeholder="Who are you?"
disabled={!testConfig.enabled} disabled={!testConfig.enabled}
/> />
</div> </div>
@@ -208,7 +168,7 @@ export function ProviderAdvancedConfig({
id="max-retries" id="max-retries"
type="number" type="number"
min={0} min={0}
max={10} max={5}
value={testConfig.maxRetries ?? ""} value={testConfig.maxRetries ?? ""}
onChange={(e) => onChange={(e) =>
onTestConfigChange({ onTestConfigChange({
@@ -218,7 +178,7 @@ export function ProviderAdvancedConfig({
: undefined, : undefined,
}) })
} }
placeholder="2" placeholder="1"
disabled={!testConfig.enabled} disabled={!testConfig.enabled}
/> />
</div> </div>
@@ -355,6 +355,7 @@ function ProviderFormFull({
), ),
}); });
setCodexChatReasoning(initialData?.meta?.codexChatReasoning ?? {}); setCodexChatReasoning(initialData?.meta?.codexChatReasoning ?? {});
setCustomUserAgent(initialData?.meta?.customUserAgent ?? "");
}, [appId, initialData, supportsFullUrl]); }, [appId, initialData, supportsFullUrl]);
const defaultValues: ProviderFormData = useMemo( const defaultValues: ProviderFormData = useMemo(
@@ -448,6 +449,8 @@ function ProviderFormFull({
defaultSonnetModelName, defaultSonnetModelName,
defaultOpusModel, defaultOpusModel,
defaultOpusModelName, defaultOpusModelName,
defaultFableModel,
defaultFableModelName,
handleModelChange, handleModelChange,
} = useModelState({ } = useModelState({
settingsConfig: form.getValues("settingsConfig"), settingsConfig: form.getValues("settingsConfig"),
@@ -509,6 +512,9 @@ function ProviderFormFull({
useState<CodexChatReasoning>( useState<CodexChatReasoning>(
() => initialData?.meta?.codexChatReasoning ?? {}, () => initialData?.meta?.codexChatReasoning ?? {},
); );
const [customUserAgent, setCustomUserAgent] = useState<string>(
() => initialData?.meta?.customUserAgent ?? "",
);
const { const {
codexAuth, codexAuth,
@@ -1386,6 +1392,10 @@ function ProviderFormFull({
localCodexApiFormat === "openai_chat" localCodexApiFormat === "openai_chat"
? normalizeCodexChatReasoningForSave(codexChatReasoning) ? normalizeCodexChatReasoningForSave(codexChatReasoning)
: undefined, : undefined,
customUserAgent:
(appId === "claude" || appId === "codex") && category !== "official"
? customUserAgent.trim() || undefined
: undefined,
testConfig: testConfig.enabled ? testConfig : undefined, testConfig: testConfig.enabled ? testConfig : undefined,
costMultiplier: pricingConfig.enabled costMultiplier: pricingConfig.enabled
? pricingConfig.costMultiplier ? pricingConfig.costMultiplier
@@ -2001,6 +2011,8 @@ function ProviderFormFull({
defaultSonnetModelName={defaultSonnetModelName} defaultSonnetModelName={defaultSonnetModelName}
defaultOpusModel={defaultOpusModel} defaultOpusModel={defaultOpusModel}
defaultOpusModelName={defaultOpusModelName} defaultOpusModelName={defaultOpusModelName}
defaultFableModel={defaultFableModel}
defaultFableModelName={defaultFableModelName}
onModelChange={handleModelChange} onModelChange={handleModelChange}
speedTestEndpoints={speedTestEndpoints} speedTestEndpoints={speedTestEndpoints}
apiFormat={localApiFormat} apiFormat={localApiFormat}
@@ -2009,6 +2021,8 @@ function ProviderFormFull({
onApiKeyFieldChange={handleApiKeyFieldChange} onApiKeyFieldChange={handleApiKeyFieldChange}
isFullUrl={localIsFullUrl} isFullUrl={localIsFullUrl}
onFullUrlChange={setLocalIsFullUrl} onFullUrlChange={setLocalIsFullUrl}
customUserAgent={customUserAgent}
onCustomUserAgentChange={setCustomUserAgent}
/> />
)} )}
@@ -2041,6 +2055,8 @@ function ProviderFormFull({
catalogModels={codexCatalogModels} catalogModels={codexCatalogModels}
onCatalogModelsChange={setCodexCatalogModels} onCatalogModelsChange={setCodexCatalogModels}
speedTestEndpoints={speedTestEndpoints} speedTestEndpoints={speedTestEndpoints}
customUserAgent={customUserAgent}
onCustomUserAgentChange={setCustomUserAgent}
/> />
)} )}
@@ -1,7 +1,10 @@
import { useEffect, useMemo, useRef, useState, type ReactNode } from "react";
import { useTranslation } from "react-i18next"; import { useTranslation } from "react-i18next";
import { FormLabel } from "@/components/ui/form"; import { FormLabel } from "@/components/ui/form";
import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input";
import { ClaudeIcon, CodexIcon, GeminiIcon } from "@/components/BrandIcons"; import { ClaudeIcon, CodexIcon, GeminiIcon } from "@/components/BrandIcons";
import { Zap, Star, Layers, Settings2 } from "lucide-react"; import { ArrowUpAZ, Search, Zap, Star, Layers, Settings2 } from "lucide-react";
import type { ProviderPreset } from "@/config/claudeProviderPresets"; import type { ProviderPreset } from "@/config/claudeProviderPresets";
import type { CodexProviderPreset } from "@/config/codexProviderPresets"; import type { CodexProviderPreset } from "@/config/codexProviderPresets";
import type { GeminiProviderPreset } from "@/config/geminiProviderPresets"; import type { GeminiProviderPreset } from "@/config/geminiProviderPresets";
@@ -16,7 +19,17 @@ import {
} from "@/config/universalProviderPresets"; } from "@/config/universalProviderPresets";
import { ProviderIcon } from "@/components/ProviderIcon"; import { ProviderIcon } from "@/components/ProviderIcon";
type AnyPreset = type PresetTranslator = (key: string) => unknown;
export const PresetSortMode = {
Original: "original",
NameAsc: "nameAsc",
} as const;
export type PresetSortMode =
(typeof PresetSortMode)[keyof typeof PresetSortMode];
export type AnyPreset =
| ProviderPreset | ProviderPreset
| CodexProviderPreset | CodexProviderPreset
| GeminiProviderPreset | GeminiProviderPreset
@@ -25,11 +38,73 @@ type AnyPreset =
| OpenClawProviderPreset | OpenClawProviderPreset
| HermesProviderPreset; | HermesProviderPreset;
type PresetEntry = { export type PresetEntry = {
id: string; id: string;
preset: AnyPreset; preset: AnyPreset;
}; };
export function getPresetDisplayName(
preset: AnyPreset,
t: PresetTranslator,
): string {
return preset.nameKey ? String(t(preset.nameKey)) : preset.name;
}
export function getPresetSearchText(
entry: PresetEntry,
t: PresetTranslator,
): string {
return [getPresetDisplayName(entry.preset, t), entry.preset.name]
.join(" ")
.toLowerCase();
}
export function filterPresetEntries(
entries: PresetEntry[],
query: string,
t: PresetTranslator,
): PresetEntry[] {
const normalizedQuery = query.trim().toLowerCase();
if (!normalizedQuery) {
return entries;
}
return entries.filter((entry) =>
getPresetSearchText(entry, t).includes(normalizedQuery),
);
}
export function sortPresetEntries(
entries: PresetEntry[],
sortMode: PresetSortMode,
t: PresetTranslator,
): PresetEntry[] {
if (sortMode === PresetSortMode.Original) {
return [...entries];
}
return [...entries].sort((a, b) =>
getPresetDisplayName(a.preset, t).localeCompare(
getPresetDisplayName(b.preset, t),
),
);
}
export interface PresetVisibilityOptions {
query: string;
sortMode: PresetSortMode;
t: PresetTranslator;
}
export function getVisiblePresetEntries(
entries: PresetEntry[],
options: PresetVisibilityOptions,
): PresetEntry[] {
const { query, sortMode, t } = options;
return sortPresetEntries(filterPresetEntries(entries, query, t), sortMode, t);
}
interface ProviderPresetSelectorProps { interface ProviderPresetSelectorProps {
selectedPresetId: string | null; selectedPresetId: string | null;
presetEntries: PresetEntry[]; presetEntries: PresetEntry[];
@@ -50,8 +125,42 @@ export function ProviderPresetSelector({
category, category,
}: ProviderPresetSelectorProps) { }: ProviderPresetSelectorProps) {
const { t } = useTranslation(); const { t } = useTranslation();
const [searchOpen, setSearchOpen] = useState(false);
const [searchQuery, setSearchQuery] = useState("");
const [sortMode, setSortMode] = useState<PresetSortMode>(
PresetSortMode.Original,
);
const searchContainerRef = useRef<HTMLDivElement>(null);
const getCategoryHint = (): React.ReactNode => { // 点击搜索区域外时收起并清空,对齐旧 Popover 的「点击外部关闭」行为
useEffect(() => {
if (!searchOpen) return;
const handleClickOutside = (event: MouseEvent) => {
if (
searchContainerRef.current &&
!searchContainerRef.current.contains(event.target as Node)
) {
setSearchOpen(false);
setSearchQuery("");
}
};
document.addEventListener("mousedown", handleClickOutside);
return () => document.removeEventListener("mousedown", handleClickOutside);
}, [searchOpen]);
const visiblePresetEntries = useMemo(
() =>
getVisiblePresetEntries(presetEntries, {
query: searchQuery,
sortMode,
t,
}),
[presetEntries, searchQuery, sortMode, t],
);
const getCategoryHint = (): ReactNode => {
switch (category) { switch (category) {
case "official": case "official":
return t("providerForm.officialHint", { return t("providerForm.officialHint", {
@@ -85,27 +194,47 @@ export function ProviderPresetSelector({
} }
}; };
const renderPresetIcon = (preset: AnyPreset) => { const toggleSortMode = () => {
const iconType = preset.theme?.icon; setSortMode((current) =>
if (!iconType) return null; current === PresetSortMode.Original
? PresetSortMode.NameAsc
: PresetSortMode.Original,
);
};
switch (iconType) { const renderPresetIcon = (preset: AnyPreset) => {
case "claude": if (preset.icon) {
return <ClaudeIcon size={14} />; return (
case "codex": <ProviderIcon
return <CodexIcon size={14} />; icon={preset.icon}
case "gemini": name={preset.name}
return <GeminiIcon size={14} />; color={preset.iconColor}
case "generic": size={16}
return <Zap size={14} />; className="flex-shrink-0"
default: />
return null; );
} }
const iconType = preset.theme?.icon;
if (iconType) {
switch (iconType) {
case "claude":
return <ClaudeIcon size={14} />;
case "codex":
return <CodexIcon size={14} />;
case "gemini":
return <GeminiIcon size={14} />;
case "generic":
return <Zap size={14} />;
}
}
return <span className="inline-block w-4 h-4 flex-shrink-0" aria-hidden />;
}; };
const getPresetButtonClass = (isSelected: boolean, preset: AnyPreset) => { const getPresetButtonClass = (isSelected: boolean, preset: AnyPreset) => {
const baseClass = const baseClass =
"inline-flex items-center gap-2 px-4 py-2 rounded-lg text-sm font-medium transition-colors"; "inline-flex items-center justify-start gap-2 px-3 py-2 rounded-lg text-sm font-medium transition-colors w-full";
if (isSelected) { if (isSelected) {
if (preset.theme?.backgroundColor) { if (preset.theme?.backgroundColor) {
@@ -130,21 +259,104 @@ export function ProviderPresetSelector({
return ( return (
<div className="space-y-3"> <div className="space-y-3">
<FormLabel>{t("providerPreset.label")}</FormLabel> <div className="flex items-center justify-between gap-2">
<div className="flex flex-wrap gap-2"> <FormLabel>{t("providerPreset.label")}</FormLabel>
<div ref={searchContainerRef} className="flex items-center gap-2">
{searchOpen && (
<Input
value={searchQuery}
onChange={(event) => setSearchQuery(event.target.value)}
onKeyDown={(event) => {
if (event.key === "Escape") {
setSearchQuery("");
setSearchOpen(false);
}
}}
placeholder={t("providerPreset.searchPlaceholder", {
defaultValue: "Search presets...",
})}
aria-label={t("providerPreset.searchAriaLabel", {
defaultValue: "Search provider presets",
})}
className="w-48 h-8"
autoFocus
/>
)}
<Button
type="button"
variant="ghost"
size="icon"
aria-label={t("providerPreset.searchAriaLabel", {
defaultValue: "Search provider presets",
})}
aria-pressed={searchOpen}
onClick={() => {
setSearchOpen((v) => !v);
if (searchOpen) setSearchQuery("");
}}
title={t("providerPreset.searchTooltip", {
defaultValue: "Search presets",
})}
className={
searchOpen || searchQuery.trim()
? "size-8 bg-accent text-foreground"
: "size-8"
}
>
<Search className="size-4" />
</Button>
<Button
type="button"
variant="ghost"
size="icon"
aria-label={t("providerPreset.sortAriaLabel", {
defaultValue: "Toggle preset sorting",
})}
aria-pressed={sortMode === PresetSortMode.NameAsc}
onClick={toggleSortMode}
title={
sortMode === PresetSortMode.NameAsc
? t("providerPreset.sortOriginalTooltip", {
defaultValue: "Restore original order",
})
: t("providerPreset.sortNameAscTooltip", {
defaultValue: "Sort A-Z",
})
}
className={
sortMode === PresetSortMode.NameAsc
? "size-8 bg-accent text-foreground"
: "size-8"
}
>
<ArrowUpAZ className="size-4" />
</Button>
</div>
</div>
<div className="grid grid-cols-[repeat(auto-fill,minmax(150px,1fr))] gap-2">
<button <button
type="button" type="button"
onClick={() => onPresetChange("custom")} onClick={() => onPresetChange("custom")}
className={`inline-flex items-center gap-2 px-4 py-2 rounded-lg text-sm font-medium transition-colors ${ className={`inline-flex items-center justify-start gap-2 px-3 py-2 rounded-lg text-sm font-medium transition-colors w-full ${
selectedPresetId === "custom" selectedPresetId === "custom"
? "bg-blue-500 text-white dark:bg-blue-600" ? "bg-blue-500 text-white dark:bg-blue-600"
: "bg-accent text-muted-foreground hover:bg-accent/80" : "bg-accent text-muted-foreground hover:bg-accent/80"
}`} }`}
> >
{t("providerPreset.custom")} <span className="inline-block w-4 h-4 flex-shrink-0" aria-hidden />
<span className="truncate">{t("providerPreset.custom")}</span>
</button> </button>
{presetEntries.map((entry) => { {visiblePresetEntries.length === 0 && (
<div className="col-span-full rounded-md border border-dashed border-border-default px-3 py-2 text-xs text-muted-foreground">
{t("providerPreset.noSearchResults", {
defaultValue: "No matching presets.",
})}
</div>
)}
{visiblePresetEntries.map((entry) => {
const isSelected = selectedPresetId === entry.id; const isSelected = selectedPresetId === entry.id;
const isPartner = entry.preset.isPartner; const isPartner = entry.preset.isPartner;
const presetCategory = entry.preset.category ?? "others"; const presetCategory = entry.preset.category ?? "others";
@@ -161,9 +373,9 @@ export function ProviderPresetSelector({
} }
> >
{renderPresetIcon(entry.preset)} {renderPresetIcon(entry.preset)}
{entry.preset.nameKey <span className="truncate">
? t(entry.preset.nameKey) {getPresetDisplayName(entry.preset, t)}
: entry.preset.name} </span>
{isPartner && ( {isPartner && (
<span className="absolute -top-1 -right-1 flex items-center gap-0.5 rounded-full bg-gradient-to-r from-amber-500 to-yellow-500 px-1.5 py-0.5 text-[10px] font-bold text-white shadow-md"> <span className="absolute -top-1 -right-1 flex items-center gap-0.5 rounded-full bg-gradient-to-r from-amber-500 to-yellow-500 px-1.5 py-0.5 text-[10px] font-bold text-white shadow-md">
<Star className="h-2.5 w-2.5 fill-current" /> <Star className="h-2.5 w-2.5 fill-current" />
@@ -176,20 +388,25 @@ export function ProviderPresetSelector({
{onUniversalPresetSelect && universalProviderPresets.length > 0 && ( {onUniversalPresetSelect && universalProviderPresets.length > 0 && (
<> <>
<div className="flex flex-wrap items-center gap-2"> <div className="grid grid-cols-[repeat(auto-fill,minmax(150px,1fr))] gap-2">
{universalProviderPresets.map((preset) => ( {universalProviderPresets.map((preset) => (
<button <button
key={`universal-${preset.providerType}`} key={`universal-${preset.providerType}`}
type="button" type="button"
onClick={() => onUniversalPresetSelect(preset)} onClick={() => onUniversalPresetSelect(preset)}
className="inline-flex items-center gap-2 px-4 py-2 rounded-lg text-sm font-medium transition-colors bg-accent text-muted-foreground hover:bg-accent/80 relative" className="inline-flex items-center justify-start gap-2 px-3 py-2 rounded-lg text-sm font-medium transition-colors bg-accent text-muted-foreground hover:bg-accent/80 relative w-full"
title={t("universalProvider.hint", { title={t("universalProvider.hint", {
defaultValue: defaultValue:
"跨应用统一配置,自动同步到 Claude/Codex/Gemini", "跨应用统一配置,自动同步到 Claude/Codex/Gemini",
})} })}
> >
<ProviderIcon icon={preset.icon} name={preset.name} size={14} /> <ProviderIcon
{preset.name} icon={preset.icon}
name={preset.name}
size={14}
className="flex-shrink-0"
/>
<span className="truncate">{preset.name}</span>
<span className="absolute -top-1 -right-1 flex items-center gap-0.5 rounded-full bg-gradient-to-r from-indigo-500 to-purple-500 px-1.5 py-0.5 text-[10px] font-bold text-white shadow-md"> <span className="absolute -top-1 -right-1 flex items-center gap-0.5 rounded-full bg-gradient-to-r from-indigo-500 to-purple-500 px-1.5 py-0.5 text-[10px] font-bold text-white shadow-md">
<Layers className="h-2.5 w-2.5" /> <Layers className="h-2.5 w-2.5" />
</span> </span>
@@ -199,15 +416,17 @@ export function ProviderPresetSelector({
<button <button
type="button" type="button"
onClick={onManageUniversalProviders} onClick={onManageUniversalProviders}
className="inline-flex items-center gap-2 px-4 py-2 rounded-lg text-sm font-medium transition-colors bg-accent text-muted-foreground hover:bg-accent/80" className="inline-flex items-center justify-start gap-2 px-3 py-2 rounded-lg text-sm font-medium transition-colors bg-accent text-muted-foreground hover:bg-accent/80 w-full"
title={t("universalProvider.manage", { title={t("universalProvider.manage", {
defaultValue: "管理统一供应商", defaultValue: "管理统一供应商",
})} })}
> >
<Settings2 className="h-4 w-4" /> <Settings2 className="h-4 w-4 flex-shrink-0" />
{t("universalProvider.manage", { <span className="truncate">
defaultValue: "管理", {t("universalProvider.manage", {
})} defaultValue: "管理",
})}
</span>
</button> </button>
)} )}
</div> </div>
@@ -12,7 +12,9 @@ export type ClaudeModelEnvField =
| "ANTHROPIC_DEFAULT_SONNET_MODEL" | "ANTHROPIC_DEFAULT_SONNET_MODEL"
| "ANTHROPIC_DEFAULT_SONNET_MODEL_NAME" | "ANTHROPIC_DEFAULT_SONNET_MODEL_NAME"
| "ANTHROPIC_DEFAULT_OPUS_MODEL" | "ANTHROPIC_DEFAULT_OPUS_MODEL"
| "ANTHROPIC_DEFAULT_OPUS_MODEL_NAME"; | "ANTHROPIC_DEFAULT_OPUS_MODEL_NAME"
| "ANTHROPIC_DEFAULT_FABLE_MODEL"
| "ANTHROPIC_DEFAULT_FABLE_MODEL_NAME";
export const CLAUDE_ONE_M_MARKER = "[1M]"; export const CLAUDE_ONE_M_MARKER = "[1M]";
@@ -69,8 +71,28 @@ function parseModelsFromConfig(settingsConfig: string) {
typeof env.ANTHROPIC_DEFAULT_OPUS_MODEL_NAME === "string" typeof env.ANTHROPIC_DEFAULT_OPUS_MODEL_NAME === "string"
? env.ANTHROPIC_DEFAULT_OPUS_MODEL_NAME ? env.ANTHROPIC_DEFAULT_OPUS_MODEL_NAME
: stripClaudeOneMMarker(opus); : stripClaudeOneMMarker(opus);
// 回填链镜像运行时映射链(fable → opus → default),保证 UI 展示
// 与代理实际转发的模型一致。
const fable =
typeof env.ANTHROPIC_DEFAULT_FABLE_MODEL === "string"
? env.ANTHROPIC_DEFAULT_FABLE_MODEL
: opus;
const fableName =
typeof env.ANTHROPIC_DEFAULT_FABLE_MODEL_NAME === "string"
? env.ANTHROPIC_DEFAULT_FABLE_MODEL_NAME
: stripClaudeOneMMarker(fable);
return { model, haiku, haikuName, sonnet, sonnetName, opus, opusName }; return {
model,
haiku,
haikuName,
sonnet,
sonnetName,
opus,
opusName,
fable,
fableName,
};
} catch { } catch {
return { return {
model: "", model: "",
@@ -80,6 +102,8 @@ function parseModelsFromConfig(settingsConfig: string) {
sonnetName: "", sonnetName: "",
opus: "", opus: "",
opusName: "", opusName: "",
fable: "",
fableName: "",
}; };
} }
} }
@@ -106,6 +130,10 @@ export function useModelState({
const [defaultOpusModelName, setDefaultOpusModelName] = useState( const [defaultOpusModelName, setDefaultOpusModelName] = useState(
initial.opusName, initial.opusName,
); );
const [defaultFableModel, setDefaultFableModel] = useState(initial.fable);
const [defaultFableModelName, setDefaultFableModelName] = useState(
initial.fableName,
);
const isUserEditingRef = useRef(false); const isUserEditingRef = useRef(false);
const lastConfigRef = useRef(settingsConfig); const lastConfigRef = useRef(settingsConfig);
@@ -134,6 +162,8 @@ export function useModelState({
setDefaultSonnetModelName(parsed.sonnetName); setDefaultSonnetModelName(parsed.sonnetName);
setDefaultOpusModel(parsed.opus); setDefaultOpusModel(parsed.opus);
setDefaultOpusModelName(parsed.opusName); setDefaultOpusModelName(parsed.opusName);
setDefaultFableModel(parsed.fable);
setDefaultFableModelName(parsed.fableName);
}, [settingsConfig]); }, [settingsConfig]);
const handleModelChange = useCallback( const handleModelChange = useCallback(
@@ -152,6 +182,10 @@ export function useModelState({
if (field === "ANTHROPIC_DEFAULT_OPUS_MODEL") setDefaultOpusModel(value); if (field === "ANTHROPIC_DEFAULT_OPUS_MODEL") setDefaultOpusModel(value);
if (field === "ANTHROPIC_DEFAULT_OPUS_MODEL_NAME") if (field === "ANTHROPIC_DEFAULT_OPUS_MODEL_NAME")
setDefaultOpusModelName(value); setDefaultOpusModelName(value);
if (field === "ANTHROPIC_DEFAULT_FABLE_MODEL")
setDefaultFableModel(value);
if (field === "ANTHROPIC_DEFAULT_FABLE_MODEL_NAME")
setDefaultFableModelName(value);
try { try {
const currentConfig = latestConfigRef.current const currentConfig = latestConfigRef.current
@@ -195,6 +229,10 @@ export function useModelState({
setDefaultOpusModel, setDefaultOpusModel,
defaultOpusModelName, defaultOpusModelName,
setDefaultOpusModelName, setDefaultOpusModelName,
defaultFableModel,
setDefaultFableModel,
defaultFableModelName,
setDefaultFableModelName,
handleModelChange, handleModelChange,
}; };
} }
+151 -82
View File
@@ -32,10 +32,10 @@ import type {
ToolInstallationReport, ToolInstallationReport,
} from "@/lib/api/settings"; } from "@/lib/api/settings";
import { useUpdate } from "@/contexts/UpdateContext"; import { useUpdate } from "@/contexts/UpdateContext";
import { relaunchApp } from "@/lib/updater";
import { Badge } from "@/components/ui/badge"; import { Badge } from "@/components/ui/badge";
import { motion } from "framer-motion"; import { motion } from "framer-motion";
import appIcon from "@/assets/icons/app-icon.png"; import appIcon from "@/assets/icons/app-icon.png";
import fable5VerifiedBanner from "@/assets/fable5-verified.png";
import { APP_ICON_MAP } from "@/config/appConfig"; import { APP_ICON_MAP } from "@/config/appConfig";
import type { AppId } from "@/lib/api/types"; import type { AppId } from "@/lib/api/types";
import { extractErrorMessage } from "@/utils/errorUtils"; import { extractErrorMessage } from "@/utils/errorUtils";
@@ -179,14 +179,51 @@ const TOOL_APP_IDS: Record<ToolName, AppId> = {
hermes: "hermes", hermes: "hermes",
}; };
// 工具版本探测代价高:每个工具一次 `--version` 子进程 + 一次 npm/github/pypi 网络请求。
// 设置页用 Radix Tabs,非激活 Tab 会被卸载——每次切回「关于」都重挂 AboutSection,若都
// 全量重查纯属浪费。用「模块级」缓存(生命周期 = JS 模块 = 应用会话,不随组件卸载销毁)
// 跨重挂存活:重挂时若缓存仍新鲜(距上次全量加载 < TTL)直接复用、跳过探测;超期或用户
// 手动「刷新」才强制重查。at = 最近一次「全量加载」完成时刻;单工具刷新(切 shell / 升级
// 后)只更新数据、不重置 at,避免一次局部刷新把整体 TTL 续命。
const TOOL_VERSIONS_CACHE_TTL_MS = 10 * 60 * 1000; // 10 分钟
let toolVersionsCache: { data: ToolVersion[]; at: number } | null = null;
// 应用自身版本(getVersion,本地毫秒级、无网络)也缓存一份,纯为重挂时免去 loading 闪烁。
let appVersionCache: string | null = null;
// 把探测结果按 name 合并进已有列表:替换同名项、追加新项;空列表时直接采用新结果。
// 组件 state 与模块缓存共用同一套合并语义(单工具与全量探测都经此函数)。
function mergeToolVersions(
prev: ToolVersion[],
updated: ToolVersion[],
): ToolVersion[] {
if (prev.length === 0) return updated;
const byName = new Map(updated.map((t) => [t.name, t]));
const merged = prev.map((t) => byName.get(t.name) ?? t);
const existing = new Set(prev.map((t) => t.name));
for (const u of updated) {
if (!existing.has(u.name)) merged.push(u);
}
return merged;
}
export function AboutSection({ isPortable }: AboutSectionProps) { export function AboutSection({ isPortable }: AboutSectionProps) {
// ... (use hooks as before) ... // ... (use hooks as before) ...
const { t } = useTranslation(); const { t } = useTranslation();
const [version, setVersion] = useState<string | null>(null); // 惰性初始化自模块缓存:重挂时首帧即渲染上次的值,避免 loading 闪烁;首次挂载缓存
const [isLoadingVersion, setIsLoadingVersion] = useState(true); // 为空则回退到原始初值(null / loading)。
const [version, setVersion] = useState<string | null>(() => appVersionCache);
const [isLoadingVersion, setIsLoadingVersion] = useState(
() => appVersionCache === null,
);
const [isDownloading, setIsDownloading] = useState(false); const [isDownloading, setIsDownloading] = useState(false);
const [toolVersions, setToolVersions] = useState<ToolVersion[]>([]); const [toolVersions, setToolVersions] = useState<ToolVersion[]>(
const [isLoadingTools, setIsLoadingTools] = useState(true); () => toolVersionsCache?.data ?? [],
);
// 有缓存(哪怕已超期)就先展示旧值、初始不 loading;超期时由挂载副作用触发后台
// 重查(stale-while-revalidate)。无缓存(首次)才从 loading 起步。
const [isLoadingTools, setIsLoadingTools] = useState(
() => toolVersionsCache === null,
);
const [toolActions, setToolActions] = useState< const [toolActions, setToolActions] = useState<
Partial<Record<ToolName, ToolLifecycleAction>> Partial<Record<ToolName, ToolLifecycleAction>>
>({}); >({});
@@ -195,14 +232,8 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
); );
const [showInstallCommands, setShowInstallCommands] = useState(false); const [showInstallCommands, setShowInstallCommands] = useState(false);
const { const { hasUpdate, updateInfo, checkUpdate, resetDismiss, isChecking } =
hasUpdate, useUpdate();
updateInfo,
updateHandle,
checkUpdate,
resetDismiss,
isChecking,
} = useUpdate();
const [wslShellByTool, setWslShellByTool] = useState< const [wslShellByTool, setWslShellByTool] = useState<
Record<string, WslShellPreference> Record<string, WslShellPreference>
@@ -264,16 +295,15 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
wslOverrides, wslOverrides,
); );
setToolVersions((prev) => { setToolVersions((prev) => mergeToolVersions(prev, updated));
if (prev.length === 0) return updated; // 同步进模块缓存,供切 Tab 重挂时复用。时间戳沿用上次「全量加载」的(单工具
const byName = new Map(updated.map((t) => [t.name, t])); // 刷新不算全量、不重置 TTL);缓存为空时以 at=0 起步——0 是「尚未完成全量加载」
const merged = prev.map((t) => byName.get(t.name) ?? t); // 的过期哨兵,确保探测中途切走/切回时,残缺缓存被判过期而触发重查,而非把半套
const existing = new Set(prev.map((t) => t.name)); // 数据当成完整结果复用。真实时间戳只由 loadAllToolVersions 的 finally 盖上。
for (const u of updated) { toolVersionsCache = {
if (!existing.has(u.name)) merged.push(u); data: mergeToolVersions(toolVersionsCache?.data ?? [], updated),
} at: toolVersionsCache?.at ?? 0,
return merged; };
});
// 返回刷新结果,调用方可据此判断版本是否真的探到(避免读 state 撞 stale closure)。 // 返回刷新结果,调用方可据此判断版本是否真的探到(避免读 state 撞 stale closure)。
return updated; return updated;
@@ -291,21 +321,42 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
[], [],
); );
const loadAllToolVersions = useCallback(async () => { const loadAllToolVersions = useCallback(
setIsLoadingTools(true); async (options?: { force?: boolean }) => {
try { const force = options?.force ?? false;
// Respect current UI overrides (shell / flag) when doing a full refresh. // 命中新鲜缓存:切回「关于」Tab 触发的重挂直接复用上次结果,跳过 6 个 `--version`
const versions = await settingsApi.getToolVersions( // 子进程 + 6 个 latest 版本网络请求。手动「刷新」传 force 绕过缓存强制重查。
[...TOOL_NAMES], if (
wslShellByTool, !force &&
); toolVersionsCache &&
setToolVersions(versions); Date.now() - toolVersionsCache.at < TOOL_VERSIONS_CACHE_TTL_MS
} catch (error) { ) {
console.error("[AboutSection] Failed to load tool versions", error); setToolVersions(toolVersionsCache.data);
} finally { setIsLoadingTools(false);
setIsLoadingTools(false); return;
} }
}, [wslShellByTool]); setIsLoadingTools(true);
try {
// 逐工具并发探测:每个工具一完成就合并进 toolVersions(并写模块缓存)、清掉自己
// 的 loadingTools 标志,对应卡片随即独立刷新——而非等全部探测完才一次性显示(后端
// 原本对 6 个工具串行 await,总耗时累加;并发后压成「最慢的那一个」)。refreshTool-
// Versions 已内建按 name 合并 + per-tool loading + try/catch 兜底(单工具失败返回 []
// 不拖累其余),故 Promise.all 永不 reject。Respect current shell/flag overrides.
await Promise.all(
TOOL_NAMES.map((toolName) =>
refreshToolVersions([toolName], wslShellByTool),
),
);
} finally {
// 全量探测结束:把缓存时间戳刷新为现在,标记「刚完成一次全量加载」、重置 TTL。
if (toolVersionsCache) {
toolVersionsCache = { ...toolVersionsCache, at: Date.now() };
}
setIsLoadingTools(false);
}
},
[wslShellByTool, refreshToolVersions],
);
const handleToolShellChange = async (toolName: ToolName, value: string) => { const handleToolShellChange = async (toolName: ToolName, value: string) => {
const wslShell = value === "auto" ? null : value; const wslShell = value === "auto" ? null : value;
@@ -332,18 +383,20 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
useEffect(() => { useEffect(() => {
let active = true; let active = true;
const load = async () => {
try {
const [appVersion] = await Promise.all([
getVersion(),
loadAllToolVersions(),
]);
// 本软件自身版本走本地调用(getVersion,无网络,毫秒级),与工具版本探测彼此独立。
// 之前两者被塞进同一个 Promise.all,导致 setVersion / setIsLoadingVersion 被压在
// 「全部工具检查完成」之后——图标下方的版本徽标因此要干等 6 个工具全检完才显示。
// 拆成两条独立链路:应用版本一拿到就立刻显示,工具探测各自渐进刷新,互不阻塞。
const loadAppVersion = async () => {
try {
const appVersion = await getVersion();
appVersionCache = appVersion;
if (active) { if (active) {
setVersion(appVersion); setVersion(appVersion);
} }
} catch (error) { } catch (error) {
console.error("[AboutSection] Failed to load info", error); console.error("[AboutSection] Failed to load app version", error);
if (active) { if (active) {
setVersion(null); setVersion(null);
} }
@@ -354,7 +407,8 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
} }
}; };
void load(); void loadAppVersion();
void loadAllToolVersions();
return () => { return () => {
active = false; active = false;
}; };
@@ -392,7 +446,7 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
}, [t, updateInfo?.availableVersion, version]); }, [t, updateInfo?.availableVersion, version]);
const handleCheckUpdate = useCallback(async () => { const handleCheckUpdate = useCallback(async () => {
if (hasUpdate && updateHandle) { if (hasUpdate) {
if (isPortable) { if (isPortable) {
try { try {
await settingsApi.checkUpdates(); await settingsApi.checkUpdates();
@@ -405,11 +459,16 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
setIsDownloading(true); setIsDownloading(true);
try { try {
resetDismiss(); resetDismiss();
await updateHandle.downloadAndInstall(); const installed = await settingsApi.installUpdateAndRestart();
await relaunchApp(); if (!installed) {
toast.success(t("settings.upToDate"), { closeButton: true });
}
} catch (error) { } catch (error) {
console.error("[AboutSection] Update failed", error); console.error("[AboutSection] Update failed", error);
toast.error(t("settings.updateFailed")); toast.error(t("settings.updateFailed"), {
description: extractErrorMessage(error) || undefined,
closeButton: true,
});
try { try {
await settingsApi.checkUpdates(); await settingsApi.checkUpdates();
} catch (fallbackError) { } catch (fallbackError) {
@@ -433,7 +492,7 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
console.error("[AboutSection] Check update failed", error); console.error("[AboutSection] Check update failed", error);
toast.error(t("settings.checkUpdateFailed")); toast.error(t("settings.checkUpdateFailed"));
} }
}, [checkUpdate, hasUpdate, isPortable, resetDismiss, t, updateHandle]); }, [checkUpdate, hasUpdate, isPortable, resetDismiss, t]);
const handleCopyInstallCommands = useCallback(async () => { const handleCopyInstallCommands = useCallback(async () => {
try { try {
@@ -768,31 +827,39 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
className="rounded-xl border border-border bg-gradient-to-br from-card/80 to-card/40 p-6 space-y-5 shadow-sm" className="rounded-xl border border-border bg-gradient-to-br from-card/80 to-card/40 p-6 space-y-5 shadow-sm"
> >
<div className="flex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between"> <div className="flex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between">
<div className="space-y-2"> <div className="flex items-center gap-8">
<div className="flex items-center gap-2"> <div className="flex flex-col items-center gap-2">
<img src={appIcon} alt="CC Switch" className="h-5 w-5" /> <div className="flex items-center gap-2">
<h4 className="text-lg font-semibold text-foreground"> <img src={appIcon} alt="CC Switch" className="h-5 w-5" />
CC Switch <h4 className="text-lg font-semibold text-foreground">
</h4> CC Switch
</div> </h4>
<div className="flex items-center gap-2"> </div>
<Badge variant="outline" className="gap-1.5 bg-background/80"> <div className="flex items-center gap-2">
<span className="text-muted-foreground"> <Badge variant="outline" className="gap-1.5 bg-background/80">
{t("common.version")} <span className="text-muted-foreground">
</span> {t("common.version")}
{isLoadingVersion ? ( </span>
<Loader2 className="h-3 w-3 animate-spin" /> {isLoadingVersion ? (
) : ( <Loader2 className="h-3 w-3 animate-spin" />
<span className="font-medium">{`v${displayVersion}`}</span> ) : (
)} <span className="font-medium">{`v${displayVersion}`}</span>
</Badge> )}
{isPortable && (
<Badge variant="secondary" className="gap-1.5">
<Info className="h-3 w-3" />
{t("settings.portableMode")}
</Badge> </Badge>
)} {isPortable && (
<Badge variant="secondary" className="gap-1.5">
<Info className="h-3 w-3" />
{t("settings.portableMode")}
</Badge>
)}
</div>
</div> </div>
<img
src={fable5VerifiedBanner}
alt="Fable 5 Verified"
className="h-16 w-auto shrink-0 select-none"
draggable={false}
/>
</div> </div>
<div className="flex items-center gap-2"> <div className="flex items-center gap-2">
@@ -908,7 +975,7 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
size="sm" size="sm"
variant="outline" variant="outline"
className="h-7 gap-1.5 text-xs" className="h-7 gap-1.5 text-xs"
onClick={() => loadAllToolVersions()} onClick={() => loadAllToolVersions({ force: true })}
disabled={isLoadingTools || isAnyBusy} disabled={isLoadingTools || isAnyBusy}
> >
<RefreshCw <RefreshCw
@@ -943,8 +1010,14 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
const tool = toolVersionByName.get(toolName); const tool = toolVersionByName.get(toolName);
const appConfig = APP_ICON_MAP[TOOL_APP_IDS[toolName]]; const appConfig = APP_ICON_MAP[TOOL_APP_IDS[toolName]];
const displayName = TOOL_DISPLAY_NAMES[toolName]; const displayName = TOOL_DISPLAY_NAMES[toolName];
// 单卡片 loading 用「结果是否已到」而非「整批是否结束」驱动,实现渐进式刷新:
// - loadingTools[t]:本工具探测在途(首次加载或单工具刷新);
// - isLoadingTools && !has(t):整批进行中且该工具尚未返回——覆盖首帧/刷新时
// 未完成卡片的 loading 外观。某工具结果一落进 toolVersionshas(t) 即为 true
// 该卡片立刻脱离 loading(哪怕全局 isLoadingTools 还为 true),其它卡片不受影响。
const isToolVersionLoading = const isToolVersionLoading =
isLoadingTools || Boolean(loadingTools[toolName]); Boolean(loadingTools[toolName]) ||
(isLoadingTools && !toolVersionByName.has(toolName));
const isOutdated = isUpdateAvailable( const isOutdated = isUpdateAvailable(
tool?.version, tool?.version,
tool?.latest_version, tool?.latest_version,
@@ -1047,9 +1120,7 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
<Select <Select
value={wslShellByTool[toolName]?.wslShell || "auto"} value={wslShellByTool[toolName]?.wslShell || "auto"}
onValueChange={(v) => handleToolShellChange(toolName, v)} onValueChange={(v) => handleToolShellChange(toolName, v)}
disabled={ disabled={isToolVersionLoading || isAnyBusy}
isLoadingTools || loadingTools[toolName] || isAnyBusy
}
> >
<SelectTrigger className="h-7 w-[82px] text-xs"> <SelectTrigger className="h-7 w-[82px] text-xs">
<SelectValue /> <SelectValue />
@@ -1068,9 +1139,7 @@ export function AboutSection({ isPortable }: AboutSectionProps) {
onValueChange={(v) => onValueChange={(v) =>
handleToolShellFlagChange(toolName, v) handleToolShellFlagChange(toolName, v)
} }
disabled={ disabled={isToolVersionLoading || isAnyBusy}
isLoadingTools || loadingTools[toolName] || isAnyBusy
}
> >
<SelectTrigger className="h-7 w-[82px] text-xs"> <SelectTrigger className="h-7 w-[82px] text-xs">
<SelectValue /> <SelectValue />
+109 -2
View File
@@ -1,11 +1,18 @@
import { useState } from "react";
import { useTranslation } from "react-i18next"; import { useTranslation } from "react-i18next";
import { KeyRound } from "lucide-react"; import { History, KeyRound } from "lucide-react";
import { toast } from "sonner";
import type { SettingsFormState } from "@/hooks/useSettings"; import type { SettingsFormState } from "@/hooks/useSettings";
import { ToggleRow } from "@/components/ui/toggle-row"; import { ToggleRow } from "@/components/ui/toggle-row";
import { ConfirmDialog } from "@/components/ConfirmDialog";
import { settingsApi } from "@/lib/api";
interface CodexAuthSettingsProps { interface CodexAuthSettingsProps {
settings: SettingsFormState; settings: SettingsFormState;
onChange: (updates: Partial<SettingsFormState>) => void; /** 返回 false(或 resolve 为 false)表示保存失败;其余返回值视为成功 */
onChange: (
updates: Partial<SettingsFormState>,
) => void | boolean | Promise<void | boolean>;
} }
export function CodexAuthSettings({ export function CodexAuthSettings({
@@ -13,6 +20,73 @@ export function CodexAuthSettings({
onChange, onChange,
}: CodexAuthSettingsProps) { }: CodexAuthSettingsProps) {
const { t } = useTranslation(); const { t } = useTranslation();
const [showEnableConfirm, setShowEnableConfirm] = useState(false);
const [showDisableConfirm, setShowDisableConfirm] = useState(false);
const [hasUnifyBackup, setHasUnifyBackup] = useState(false);
const handleUnifyHistoryChange = (checked: boolean) => {
if (checked) {
setShowEnableConfirm(true);
return;
}
// 先探测有无迁移备份,决定关闭弹窗是否提供"恢复备份"勾选
void settingsApi
.hasCodexUnifyHistoryBackup()
.catch(() => false)
.then((hasBackup) => {
setHasUnifyBackup(hasBackup);
setShowDisableConfirm(true);
});
};
const handleEnableConfirm = (migrateExisting: boolean) => {
setShowEnableConfirm(false);
void onChange({
unifyCodexSessionHistory: true,
unifyCodexMigrateExisting: migrateExisting,
});
};
// 备份探测可能落后于正在后台进行的迁移(刚勾选迁入就立刻关闭时,
// 备份尚未产出)。只要本轮勾选过"迁入既有会话",就必须提供恢复入口;
// 真正有没有账本交给后端 restore 的 skippedReason 判定。
const showRestoreOption =
hasUnifyBackup || (settings.unifyCodexMigrateExisting ?? false);
const handleDisableConfirm = async (restoreBackup: boolean) => {
setShowDisableConfirm(false);
const saved = await onChange({
unifyCodexSessionHistory: false,
unifyCodexMigrateExisting: false,
});
// 关闭保存失败时绝不还原:否则开关仍开着(live 仍统一路由),
// 已迁移会话却被翻回 openai 桶,历史被拆成两半。
if (saved === false) return;
// 不再以探测结果短路:还原命令会在迁移锁上排队,等到迁移落盘后
// 拿到完整账本;确实无账本时由 skippedReason 提示。
if (!restoreBackup) return;
try {
const result = await settingsApi.restoreCodexUnifiedHistory();
if (result.skippedReason) {
// unify_toggle_on:还原排队期间开关被重新开启,后端拒绝还原
toast.info(
result.skippedReason === "unify_toggle_on"
? t("settings.unifyCodexHistoryRestoreSkippedToggleOn")
: t("settings.unifyCodexHistoryRestoreNothing"),
);
return;
}
toast.success(
t("settings.unifyCodexHistoryRestoreCompleted", {
files: result.restoredJsonlFiles,
rows: result.restoredStateRows,
}),
);
} catch (error) {
console.error("Failed to restore codex unified history:", error);
toast.error(t("settings.unifyCodexHistoryRestoreFailed"));
}
};
return ( return (
<section className="space-y-4"> <section className="space-y-4">
@@ -30,6 +104,39 @@ export function CodexAuthSettings({
onChange({ preserveCodexOfficialAuthOnSwitch: value }) onChange({ preserveCodexOfficialAuthOnSwitch: value })
} }
/> />
<ToggleRow
icon={<History className="h-4 w-4 text-sky-500" />}
title={t("settings.unifyCodexSessionHistory")}
description={t("settings.unifyCodexSessionHistoryDescription")}
checked={settings.unifyCodexSessionHistory ?? false}
onCheckedChange={handleUnifyHistoryChange}
/>
<ConfirmDialog
isOpen={showEnableConfirm}
title={t("confirm.unifyCodexHistory.title")}
message={t("confirm.unifyCodexHistory.message")}
checkboxLabel={t("confirm.unifyCodexHistory.migrateExisting")}
confirmText={t("confirm.unifyCodexHistory.confirm")}
onConfirm={handleEnableConfirm}
onCancel={() => setShowEnableConfirm(false)}
/>
<ConfirmDialog
isOpen={showDisableConfirm}
title={t("confirm.unifyCodexHistoryOff.title")}
message={t("confirm.unifyCodexHistoryOff.message")}
checkboxLabel={
showRestoreOption
? t("confirm.unifyCodexHistoryOff.restoreBackup")
: undefined
}
checkboxDefaultChecked
confirmText={t("confirm.unifyCodexHistoryOff.confirm")}
onConfirm={(restoreBackup) => void handleDisableConfirm(restoreBackup)}
onCancel={() => setShowDisableConfirm(false)}
/>
</section> </section>
); );
} }
+1 -1
View File
@@ -22,7 +22,7 @@ import type { SettingsFormState } from "@/hooks/useSettings";
interface ProxyTabContentProps { interface ProxyTabContentProps {
settings: SettingsFormState; settings: SettingsFormState;
onAutoSave: (updates: Partial<SettingsFormState>) => Promise<void>; onAutoSave: (updates: Partial<SettingsFormState>) => Promise<boolean | void>;
} }
export function ProxyTabContent({ export function ProxyTabContent({
+17 -2
View File
@@ -163,19 +163,34 @@ export function SettingsPage({
// 通用设置即时保存(无需手动点击) // 通用设置即时保存(无需手动点击)
// 使用 autoSaveSettings 避免误触发系统 API(开机自启、Claude 插件等) // 使用 autoSaveSettings 避免误触发系统 API(开机自启、Claude 插件等)
// 返回保存是否成功:需要在保存成功后追加动作的调用方(如统一会话历史
// 关闭后的备份还原)据此短路,其余调用方可忽略返回值。
const handleAutoSave = useCallback( const handleAutoSave = useCallback(
async (updates: Partial<SettingsFormState>) => { async (updates: Partial<SettingsFormState>): Promise<boolean> => {
if (!settings) return; if (!settings) return false;
// 乐观更新前捕获旧值:autoSaveSettings 发送的是全量表单状态,后端按
// diff 触发副作用(如统一会话开关的 live 重写与历史迁移)。保存失败
// 不回滚的话,失败的变更会滞留在表单里,被之后任意一次无关保存原样
// 重放,绕过确认弹窗。
const previousValues = Object.fromEntries(
Object.keys(updates).map((key) => [
key,
settings[key as keyof SettingsFormState],
]),
) as Partial<SettingsFormState>;
updateSettings(updates); updateSettings(updates);
try { try {
await autoSaveSettings(updates); await autoSaveSettings(updates);
return true;
} catch (error) { } catch (error) {
console.error("[SettingsPage] Failed to autosave settings", error); console.error("[SettingsPage] Failed to autosave settings", error);
updateSettings(previousValues);
toast.error( toast.error(
t("settings.saveFailedGeneric", { t("settings.saveFailedGeneric", {
defaultValue: "保存失败,请重试", defaultValue: "保存失败,请重试",
}), }),
); );
return false;
} }
}, },
[autoSaveSettings, settings, t, updateSettings], [autoSaveSettings, settings, t, updateSettings],
+1 -1
View File
@@ -16,7 +16,7 @@ const PopoverContent = React.forwardRef<
align={align} align={align}
sideOffset={sideOffset} sideOffset={sideOffset}
className={cn( className={cn(
"z-50 rounded-md border bg-popover text-popover-foreground shadow-md outline-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2", "z-[100] rounded-md border bg-popover text-popover-foreground shadow-md outline-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
className, className,
)} )}
{...props} {...props}
+1 -1
View File
@@ -20,7 +20,7 @@ export function ToggleRow({
return ( return (
<div className="flex items-center justify-between gap-4 rounded-xl border border-border bg-card/50 p-4 transition-colors hover:bg-muted/50"> <div className="flex items-center justify-between gap-4 rounded-xl border border-border bg-card/50 p-4 transition-colors hover:bg-muted/50">
<div className="flex items-center gap-3"> <div className="flex items-center gap-3">
<div className="flex h-8 w-8 items-center justify-center rounded-lg bg-background ring-1 ring-border"> <div className="flex h-8 w-8 shrink-0 items-center justify-center rounded-lg bg-background ring-1 ring-border">
{icon} {icon}
</div> </div>
<div className="space-y-1"> <div className="space-y-1">
+1 -1
View File
@@ -19,7 +19,7 @@ const TooltipContent = React.forwardRef<
ref={ref} ref={ref}
sideOffset={sideOffset} sideOffset={sideOffset}
className={cn( className={cn(
"z-50 overflow-hidden rounded-md bg-primary px-3 py-1.5 text-xs text-primary-foreground animate-in fade-in-0 zoom-in-95 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2", "z-[100] overflow-hidden rounded-md bg-primary px-3 py-1.5 text-xs text-primary-foreground animate-in fade-in-0 zoom-in-95 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
className, className,
)} )}
{...props} {...props}
+11 -3
View File
@@ -14,18 +14,26 @@ import type { UsageRangeSelection } from "@/types/usage";
interface ModelStatsTableProps { interface ModelStatsTableProps {
range: UsageRangeSelection; range: UsageRangeSelection;
appType?: string; appType?: string;
providerName?: string;
model?: string;
refreshIntervalMs: number; refreshIntervalMs: number;
} }
export function ModelStatsTable({ export function ModelStatsTable({
range, range,
appType, appType,
providerName,
model,
refreshIntervalMs, refreshIntervalMs,
}: ModelStatsTableProps) { }: ModelStatsTableProps) {
const { t } = useTranslation(); const { t } = useTranslation();
const { data: stats, isLoading } = useModelStats(range, appType, { const { data: stats, isLoading } = useModelStats(
refetchInterval: refreshIntervalMs > 0 ? refreshIntervalMs : false, range,
}); { appType, providerName, model },
{
refetchInterval: refreshIntervalMs > 0 ? refreshIntervalMs : false,
},
);
if (isLoading) { if (isLoading) {
return <div className="h-[400px] animate-pulse rounded bg-gray-100" />; return <div className="h-[400px] animate-pulse rounded bg-gray-100" />;
+17 -78
View File
@@ -2,10 +2,9 @@ import { useState, useEffect } from "react";
import { useTranslation } from "react-i18next"; import { useTranslation } from "react-i18next";
import { Button } from "@/components/ui/button"; import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input"; import { Input } from "@/components/ui/input";
import { Textarea } from "@/components/ui/textarea";
import { Label } from "@/components/ui/label"; import { Label } from "@/components/ui/label";
import { Alert, AlertDescription } from "@/components/ui/alert"; import { Alert, AlertDescription } from "@/components/ui/alert";
import { Save, Loader2 } from "lucide-react"; import { Save, Loader2, Info } from "lucide-react";
import { toast } from "sonner"; import { toast } from "sonner";
import { import {
getStreamCheckConfig, getStreamCheckConfig,
@@ -20,13 +19,9 @@ export function ModelTestConfigPanel() {
const [error, setError] = useState<string | null>(null); const [error, setError] = useState<string | null>(null);
// 使用字符串状态以支持完全清空数字输入框 // 使用字符串状态以支持完全清空数字输入框
const [config, setConfig] = useState({ const [config, setConfig] = useState({
timeoutSecs: "45", timeoutSecs: "8",
maxRetries: "2", maxRetries: "1",
degradedThresholdMs: "6000", degradedThresholdMs: "6000",
claudeModel: "claude-haiku-4-5-20251001",
codexModel: "gpt-5.5@low",
geminiModel: "gemini-3.5-flash",
testPrompt: "Who are you?",
}); });
useEffect(() => { useEffect(() => {
@@ -42,10 +37,6 @@ export function ModelTestConfigPanel() {
timeoutSecs: String(data.timeoutSecs), timeoutSecs: String(data.timeoutSecs),
maxRetries: String(data.maxRetries), maxRetries: String(data.maxRetries),
degradedThresholdMs: String(data.degradedThresholdMs), degradedThresholdMs: String(data.degradedThresholdMs),
claudeModel: data.claudeModel,
codexModel: data.codexModel,
geminiModel: data.geminiModel,
testPrompt: data.testPrompt || "Who are you?",
}); });
} catch (e) { } catch (e) {
setError(String(e)); setError(String(e));
@@ -63,13 +54,9 @@ export function ModelTestConfigPanel() {
try { try {
setIsSaving(true); setIsSaving(true);
const parsed: StreamCheckConfig = { const parsed: StreamCheckConfig = {
timeoutSecs: parseNum(config.timeoutSecs, 45), timeoutSecs: parseNum(config.timeoutSecs, 8),
maxRetries: parseNum(config.maxRetries, 2), maxRetries: parseNum(config.maxRetries, 1),
degradedThresholdMs: parseNum(config.degradedThresholdMs, 6000), degradedThresholdMs: parseNum(config.degradedThresholdMs, 6000),
claudeModel: config.claudeModel,
codexModel: config.codexModel,
geminiModel: config.geminiModel,
testPrompt: config.testPrompt || "Who are you?",
}; };
await saveStreamCheckConfig(parsed); await saveStreamCheckConfig(parsed);
toast.success(t("streamCheck.configSaved"), { toast.success(t("streamCheck.configSaved"), {
@@ -98,49 +85,16 @@ export function ModelTestConfigPanel() {
</Alert> </Alert>
)} )}
{/* 测试模型配置 */} {/* 连通检测语义说明:可达 ≠ 配置正确 */}
<div className="space-y-4"> <Alert>
<h4 className="text-sm font-medium text-muted-foreground"> <Info className="h-4 w-4" />
{t("streamCheck.testModels")} <AlertDescription>
</h4> {t("streamCheck.connectivityNote", {
<div className="grid grid-cols-1 md:grid-cols-3 gap-4"> defaultValue:
<div className="space-y-2"> "连通检测仅探测供应商地址是否可达,不发送真实模型请求。收到任意响应即视为“可达”——这不代表鉴权或模型配置一定正确。",
<Label htmlFor="claudeModel">{t("streamCheck.claudeModel")}</Label> })}
<Input </AlertDescription>
id="claudeModel" </Alert>
value={config.claudeModel}
onChange={(e) =>
setConfig({ ...config, claudeModel: e.target.value })
}
placeholder="claude-3-5-haiku-latest"
/>
</div>
<div className="space-y-2">
<Label htmlFor="codexModel">{t("streamCheck.codexModel")}</Label>
<Input
id="codexModel"
value={config.codexModel}
onChange={(e) =>
setConfig({ ...config, codexModel: e.target.value })
}
placeholder="gpt-4o-mini"
/>
</div>
<div className="space-y-2">
<Label htmlFor="geminiModel">{t("streamCheck.geminiModel")}</Label>
<Input
id="geminiModel"
value={config.geminiModel}
onChange={(e) =>
setConfig({ ...config, geminiModel: e.target.value })
}
placeholder="gemini-1.5-flash"
/>
</div>
</div>
</div>
{/* 检查参数配置 */} {/* 检查参数配置 */}
<div className="space-y-4"> <div className="space-y-4">
@@ -153,8 +107,8 @@ export function ModelTestConfigPanel() {
<Input <Input
id="timeoutSecs" id="timeoutSecs"
type="number" type="number"
min={10} min={2}
max={120} max={60}
value={config.timeoutSecs} value={config.timeoutSecs}
onChange={(e) => onChange={(e) =>
setConfig({ ...config, timeoutSecs: e.target.value }) setConfig({ ...config, timeoutSecs: e.target.value })
@@ -193,21 +147,6 @@ export function ModelTestConfigPanel() {
/> />
</div> </div>
</div> </div>
{/* 检查提示词配置 */}
<div className="space-y-2">
<Label htmlFor="testPrompt">{t("streamCheck.testPrompt")}</Label>
<Textarea
id="testPrompt"
value={config.testPrompt}
onChange={(e) =>
setConfig({ ...config, testPrompt: e.target.value })
}
placeholder="Who are you?"
rows={2}
className="min-h-[60px]"
/>
</div>
</div> </div>
<div className="flex justify-end"> <div className="flex justify-end">
+11 -3
View File
@@ -14,18 +14,26 @@ import type { UsageRangeSelection } from "@/types/usage";
interface ProviderStatsTableProps { interface ProviderStatsTableProps {
range: UsageRangeSelection; range: UsageRangeSelection;
appType?: string; appType?: string;
providerName?: string;
model?: string;
refreshIntervalMs: number; refreshIntervalMs: number;
} }
export function ProviderStatsTable({ export function ProviderStatsTable({
range, range,
appType, appType,
providerName,
model,
refreshIntervalMs, refreshIntervalMs,
}: ProviderStatsTableProps) { }: ProviderStatsTableProps) {
const { t } = useTranslation(); const { t } = useTranslation();
const { data: stats, isLoading } = useProviderStats(range, appType, { const { data: stats, isLoading } = useProviderStats(
refetchInterval: refreshIntervalMs > 0 ? refreshIntervalMs : false, range,
}); { appType, providerName, model },
{
refetchInterval: refreshIntervalMs > 0 ? refreshIntervalMs : false,
},
);
if (isLoading) { if (isLoading) {
return <div className="h-[400px] animate-pulse rounded bg-gray-100" />; return <div className="h-[400px] animate-pulse rounded bg-gray-100" />;
@@ -111,6 +111,28 @@ export function RequestDetailPanel({
{t("usage.model", "模型")} {t("usage.model", "模型")}
</dt> </dt>
<dd className="font-mono">{request.model}</dd> <dd className="font-mono">{request.model}</dd>
{request.requestModel &&
request.requestModel !== request.model && (
<>
<dt className="mt-1 text-muted-foreground">
{t("usage.requestModel", "请求模型")}
</dt>
<dd className="font-mono text-xs">
{request.requestModel}
</dd>
</>
)}
{request.pricingModel &&
request.pricingModel !== request.model && (
<>
<dt className="mt-1 text-muted-foreground">
{t("usage.pricingModel", "计价模型")}
</dt>
<dd className="font-mono text-xs">
{request.pricingModel}
</dd>
</>
)}
</div> </div>
<div> <div>
<dt className="text-muted-foreground"> <dt className="text-muted-foreground">
+27 -127
View File
@@ -19,13 +19,12 @@ import {
} from "@/components/ui/select"; } from "@/components/ui/select";
import { useRequestLogs } from "@/lib/query/usage"; import { useRequestLogs } from "@/lib/query/usage";
import { import {
KNOWN_APP_TYPES,
getFreshInputTokens, getFreshInputTokens,
isUnpricedUsage, isUnpricedUsage,
type LogFilters, type LogFilters,
type UsageRangeSelection, type UsageRangeSelection,
} from "@/types/usage"; } from "@/types/usage";
import { ChevronLeft, ChevronRight, Search, X } from "lucide-react"; import { ChevronLeft, ChevronRight } from "lucide-react";
import { UsageDateRangePicker } from "./UsageDateRangePicker"; import { UsageDateRangePicker } from "./UsageDateRangePicker";
import { import {
fmtInt, fmtInt,
@@ -38,6 +37,8 @@ interface RequestLogTableProps {
range: UsageRangeSelection; range: UsageRangeSelection;
rangeLabel: string; rangeLabel: string;
appType?: string; appType?: string;
providerName?: string;
model?: string;
refreshIntervalMs: number; refreshIntervalMs: number;
onRangeChange?: (range: UsageRangeSelection) => void; onRangeChange?: (range: UsageRangeSelection) => void;
} }
@@ -46,21 +47,29 @@ export function RequestLogTable({
range, range,
rangeLabel, rangeLabel,
appType: dashboardAppType, appType: dashboardAppType,
providerName,
model,
refreshIntervalMs, refreshIntervalMs,
onRangeChange, onRangeChange,
}: RequestLogTableProps) { }: RequestLogTableProps) {
const { t, i18n } = useTranslation(); const { t, i18n } = useTranslation();
const [appliedFilters, setAppliedFilters] = useState<LogFilters>({}); // 应用/Provider/模型筛选已上移到 Dashboard 顶栏(全局生效);
const [draftFilters, setDraftFilters] = useState<LogFilters>({}); // 这里只保留日志特有的状态码筛选。
const [statusCode, setStatusCode] = useState<number | undefined>(undefined);
const [page, setPage] = useState(0); const [page, setPage] = useState(0);
const [pageInput, setPageInput] = useState(""); const [pageInput, setPageInput] = useState("");
const pageSize = 20; const pageSize = 20;
const dashboardAppTypeActive = dashboardAppType && dashboardAppType !== "all"; const effectiveFilters: LogFilters = {
const effectiveFilters: LogFilters = dashboardAppTypeActive appType:
? { ...appliedFilters, appType: dashboardAppType } dashboardAppType && dashboardAppType !== "all"
: appliedFilters; ? dashboardAppType
: undefined,
providerName,
model,
statusCode,
};
const { data: result, isLoading } = useRequestLogs({ const { data: result, isLoading } = useRequestLogs({
filters: effectiveFilters, filters: effectiveFilters,
@@ -80,37 +89,13 @@ export function RequestLogTable({
setPage(0); setPage(0);
}, [ }, [
dashboardAppType, dashboardAppType,
providerName,
model,
range.customEndDate, range.customEndDate,
range.customStartDate, range.customStartDate,
range.preset, range.preset,
]); ]);
const handleSearch = () => {
setAppliedFilters(draftFilters);
setPage(0);
};
const handleReset = () => {
setDraftFilters({});
setAppliedFilters({});
setPage(0);
};
const applySelectFilter = <K extends keyof LogFilters>(
key: K,
value: LogFilters[K],
) => {
setDraftFilters((prev) => ({
...prev,
[key]: value,
}));
setAppliedFilters((prev) => ({
...prev,
[key]: value,
}));
setPage(0);
};
const handleGoToPage = () => { const handleGoToPage = () => {
const trimmed = pageInput.trim(); const trimmed = pageInput.trim();
if (!/^\d+$/.test(trimmed)) return; if (!/^\d+$/.test(trimmed)) return;
@@ -127,44 +112,16 @@ export function RequestLogTable({
<div className="space-y-4"> <div className="space-y-4">
<div className="rounded-lg border bg-card/50 p-2 backdrop-blur-sm"> <div className="rounded-lg border bg-card/50 p-2 backdrop-blur-sm">
<div className="flex flex-wrap items-center gap-1.5"> <div className="flex flex-wrap items-center gap-1.5">
{/* App type */}
<Select
value={
dashboardAppTypeActive
? dashboardAppType
: draftFilters.appType || "all"
}
onValueChange={(v) =>
applySelectFilter("appType", v === "all" ? undefined : v)
}
disabled={!!dashboardAppTypeActive}
>
<SelectTrigger className="h-8 w-[110px] bg-background text-xs">
<SelectValue placeholder={t("usage.appType")} />
</SelectTrigger>
<SelectContent>
<SelectItem value="all">{t("usage.allApps")}</SelectItem>
{KNOWN_APP_TYPES.map((at) => (
<SelectItem key={at} value={at}>
{t(`usage.appFilter.${at}`, { defaultValue: at })}
</SelectItem>
))}
</SelectContent>
</Select>
{/* Status code */} {/* Status code */}
<Select <Select
value={draftFilters.statusCode?.toString() || "all"} value={statusCode?.toString() || "all"}
onValueChange={(v) => onValueChange={(v) => {
applySelectFilter( const parsed = Number.parseInt(v, 10);
"statusCode", setStatusCode(
v === "all" v === "all" || !Number.isFinite(parsed) ? undefined : parsed,
? undefined );
: Number.isFinite(Number.parseInt(v, 10)) setPage(0);
? Number.parseInt(v, 10) }}
: undefined,
)
}
> >
<SelectTrigger className="h-8 w-[100px] bg-background text-xs"> <SelectTrigger className="h-8 w-[100px] bg-background text-xs">
<SelectValue placeholder={t("usage.statusCode")} /> <SelectValue placeholder={t("usage.statusCode")} />
@@ -179,43 +136,6 @@ export function RequestLogTable({
</SelectContent> </SelectContent>
</Select> </Select>
{/* Provider search */}
<div className="relative min-w-[140px] flex-1">
<Search className="absolute left-2 top-2 h-3.5 w-3.5 text-muted-foreground" />
<Input
placeholder={t("usage.searchProviderPlaceholder")}
className="h-8 bg-background pl-7 text-xs"
value={draftFilters.providerName || ""}
onChange={(e) =>
setDraftFilters({
...draftFilters,
providerName: e.target.value || undefined,
})
}
onKeyDown={(e) => {
if (e.key === "Enter") handleSearch();
}}
/>
</div>
{/* Model search */}
<div className="relative min-w-[120px] flex-1">
<Input
placeholder={t("usage.searchModelPlaceholder")}
className="h-8 bg-background text-xs"
value={draftFilters.model || ""}
onChange={(e) =>
setDraftFilters({
...draftFilters,
model: e.target.value || undefined,
})
}
onKeyDown={(e) => {
if (e.key === "Enter") handleSearch();
}}
/>
</div>
{onRangeChange && ( {onRangeChange && (
<UsageDateRangePicker <UsageDateRangePicker
selection={range} selection={range}
@@ -223,26 +143,6 @@ export function RequestLogTable({
onApply={onRangeChange} onApply={onRangeChange}
/> />
)} )}
{/* Search & Reset (icon-only) */}
<Button
size="icon"
variant="default"
onClick={handleSearch}
className="h-8 w-8"
title={t("common.search")}
>
<Search className="h-3.5 w-3.5" />
</Button>
<Button
size="icon"
variant="outline"
onClick={handleReset}
className="h-8 w-8"
title={t("common.reset")}
>
<X className="h-3.5 w-3.5" />
</Button>
</div> </div>
</div> </div>
+201 -36
View File
@@ -7,6 +7,7 @@ import { ProviderStatsTable } from "./ProviderStatsTable";
import { ModelStatsTable } from "./ModelStatsTable"; import { ModelStatsTable } from "./ModelStatsTable";
import { import {
KNOWN_APP_TYPES, KNOWN_APP_TYPES,
type AppType,
type AppTypeFilter, type AppTypeFilter,
type UsageRangeSelection, type UsageRangeSelection,
} from "@/types/usage"; } from "@/types/usage";
@@ -17,10 +18,18 @@ import {
Activity, Activity,
RefreshCw, RefreshCw,
Coins, Coins,
LayoutGrid,
} from "lucide-react"; } from "lucide-react";
import { Button } from "@/components/ui/button"; import { ProviderIcon } from "@/components/ProviderIcon";
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select";
import { useQueryClient } from "@tanstack/react-query"; import { useQueryClient } from "@tanstack/react-query";
import { usageKeys } from "@/lib/query/usage"; import { usageKeys, useModelStats, useProviderStats } from "@/lib/query/usage";
import { useUsageEventBridge } from "@/hooks/useUsageEventBridge"; import { useUsageEventBridge } from "@/hooks/useUsageEventBridge";
import { import {
Accordion, Accordion,
@@ -37,25 +46,56 @@ import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
const APP_FILTER_OPTIONS: AppTypeFilter[] = ["all", ...KNOWN_APP_TYPES]; const APP_FILTER_OPTIONS: AppTypeFilter[] = ["all", ...KNOWN_APP_TYPES];
// 0 表示关闭自动刷新(refetchInterval=false
const REFRESH_INTERVAL_OPTIONS_MS = [0, 5000, 10000, 30000, 60000] as const;
// 与 AppSwitcher 的 appIconName 保持一致(codex 复用 openai 图标)
const APP_FILTER_ICON: Record<AppType, string> = {
claude: "claude",
codex: "openai",
gemini: "gemini",
opencode: "opencode",
};
// Select 的 "all" 哨兵和用户自定义名称同处一个值域——真有来源/模型叫 "all"
// 就会撞名(重复 value、选中即清空筛选)。动态选项统一加前缀编码隔离值域。
const DYNAMIC_OPTION_PREFIX = "v:";
const encodeOptionValue = (name: string) => `${DYNAMIC_OPTION_PREFIX}${name}`;
const decodeOptionValue = (value: string) =>
value === "all" ? undefined : value.slice(DYNAMIC_OPTION_PREFIX.length);
export function UsageDashboard() { export function UsageDashboard() {
const { t, i18n } = useTranslation(); const { t, i18n } = useTranslation();
const queryClient = useQueryClient(); const queryClient = useQueryClient();
const [range, setRange] = useState<UsageRangeSelection>({ preset: "today" }); const [range, setRange] = useState<UsageRangeSelection>({ preset: "today" });
const [appType, setAppType] = useState<AppTypeFilter>("all"); const [appType, setAppType] = useState<AppTypeFilter>("all");
const [providerName, setProviderName] = useState<string | undefined>(
undefined,
);
const [model, setModel] = useState<string | undefined>(undefined);
const [refreshIntervalMs, setRefreshIntervalMs] = useState(30000); const [refreshIntervalMs, setRefreshIntervalMs] = useState(30000);
// 切应用时清掉下游筛选,避免留下一个在新范围内查无数据的"幽灵"组合;
// 切 Provider 同理清掉模型(模型选项随 Provider 级联)。
const changeAppType = (next: AppTypeFilter) => {
setAppType(next);
if (next !== appType) {
setProviderName(undefined);
setModel(undefined);
}
};
const changeProviderName = (next: string | undefined) => {
setProviderName(next);
if (next !== providerName) {
setModel(undefined);
}
};
// 后端写入新日志时 emit `usage-log-recorded`,本 hook 立刻 invalidate 所有 // 后端写入新日志时 emit `usage-log-recorded`,本 hook 立刻 invalidate 所有
// usage 查询,实现实时刷新(仅在 Dashboard 挂载时生效,离开页面自动取消监听) // usage 查询,实现实时刷新(仅在 Dashboard 挂载时生效,离开页面自动取消监听)
useUsageEventBridge(); useUsageEventBridge();
const refreshIntervalOptionsMs = [0, 5000, 10000, 30000, 60000] as const; const changeRefreshInterval = (next: number) => {
const changeRefreshInterval = () => {
const currentIndex = refreshIntervalOptionsMs.indexOf(
refreshIntervalMs as (typeof refreshIntervalOptionsMs)[number],
);
const safeIndex = currentIndex >= 0 ? currentIndex : 3;
const nextIndex = (safeIndex + 1) % refreshIntervalOptionsMs.length;
const next = refreshIntervalOptionsMs[nextIndex];
setRefreshIntervalMs(next); setRefreshIntervalMs(next);
queryClient.invalidateQueries({ queryKey: usageKeys.all }); queryClient.invalidateQueries({ queryKey: usageKeys.all });
}; };
@@ -73,6 +113,45 @@ export function UsageDashboard() {
).toLocaleString(locale)}`; ).toLocaleString(locale)}`;
}, [locale, range, resolvedRange.endDate, resolvedRange.startDate, t]); }, [locale, range, resolvedRange.endDate, resolvedRange.startDate, t]);
// 顶栏下拉的选项池:Provider 列表只跟应用/时间范围走(不受自身选中值影响),
// 模型列表随所选 Provider 级联。两者都只列当前范围内真实有数据的条目。
// refetchInterval 必须跟随面板的刷新设置——未筛选时这两个查询与统计表共享
// query key,落下的话会以默认 30s 拖着同 key 查询一起轮询,"--" 形同虚设。
const optionsRefetch = {
refetchInterval:
refreshIntervalMs > 0 ? refreshIntervalMs : (false as const),
};
const { data: providerOptionsData } = useProviderStats(
range,
{ appType },
optionsRefetch,
);
const { data: modelOptionsData } = useModelStats(
range,
{ appType, providerName },
optionsRefetch,
);
const providerOptions = useMemo(() => {
const names = new Set<string>();
for (const stat of providerOptionsData ?? []) {
names.add(stat.providerName);
}
// 数据刷新后选中项可能掉出列表(如改了时间范围);补回去保证 Select
// 仍能渲染选中文案,用户看得见才能主动清除。
if (providerName) names.add(providerName);
return Array.from(names);
}, [providerOptionsData, providerName]);
const modelOptions = useMemo(() => {
const names = new Set<string>();
for (const stat of modelOptionsData ?? []) {
names.add(stat.model);
}
if (model) names.add(model);
return Array.from(names);
}, [modelOptionsData, model]);
return ( return (
<motion.div <motion.div
initial={{ opacity: 0, y: 10 }} initial={{ opacity: 0, y: 10 }}
@@ -90,35 +169,111 @@ export function UsageDashboard() {
<div className="flex flex-wrap items-center gap-2"> <div className="flex flex-wrap items-center gap-2">
<div className="flex items-center p-1 bg-muted/30 rounded-lg border border-border/50"> <div className="flex items-center p-1 bg-muted/30 rounded-lg border border-border/50">
{APP_FILTER_OPTIONS.map((type) => ( {APP_FILTER_OPTIONS.map((type) => {
<button const label = t(`usage.appFilter.${type}`);
key={type} return (
type="button" <button
onClick={() => setAppType(type)} key={type}
className={cn( type="button"
"px-3 py-1.5 rounded-md text-sm font-medium transition-all", onClick={() => changeAppType(type)}
appType === type title={label}
? "bg-background text-primary shadow-sm" aria-label={label}
: "text-muted-foreground hover:text-foreground hover:bg-muted/50", className={cn(
)} "flex h-8 items-center justify-center px-2.5 rounded-md transition-all",
> appType === type
{t(`usage.appFilter.${type}`)} ? "bg-background text-primary shadow-sm"
</button> : "text-muted-foreground hover:text-foreground hover:bg-muted/50",
))} )}
>
{type === "all" ? (
<LayoutGrid className="h-4 w-4" />
) : (
<ProviderIcon
icon={APP_FILTER_ICON[type]}
name={label}
size={16}
/>
)}
</button>
);
})}
</div> </div>
<div className="flex items-center gap-2 ml-auto lg:ml-0"> <Select
<Button value={
type="button" providerName != null ? encodeOptionValue(providerName) : "all"
variant="outline" }
size="sm" onValueChange={(v) => changeProviderName(decodeOptionValue(v))}
className="h-9 px-3 text-xs" >
title={t("common.refresh", "刷新")} <SelectTrigger
onClick={changeRefreshInterval} className="h-9 w-[100px] bg-background text-xs focus:border-border-default [&>span]:min-w-0 [&>span]:truncate"
title={providerName ?? t("usage.filterBySource")}
> >
<RefreshCw className="mr-2 h-3.5 w-3.5" /> <SelectValue />
{refreshIntervalMs > 0 ? `${refreshIntervalMs / 1000}s` : "--"} </SelectTrigger>
</Button> <SelectContent className="max-w-[280px]">
<SelectItem value="all">{t("usage.allSources")}</SelectItem>
{providerOptions.map((name) => (
<SelectItem
key={name}
value={encodeOptionValue(name)}
title={name}
className="[&>span]:min-w-0 [&>span]:truncate"
>
{name}
</SelectItem>
))}
</SelectContent>
</Select>
<Select
value={model != null ? encodeOptionValue(model) : "all"}
onValueChange={(v) => setModel(decodeOptionValue(v))}
>
<SelectTrigger
className="h-9 w-[100px] bg-background text-xs focus:border-border-default [&>span]:min-w-0 [&>span]:truncate"
title={model ?? t("usage.filterByModel")}
>
<SelectValue />
</SelectTrigger>
<SelectContent className="max-w-[280px]">
<SelectItem value="all">{t("usage.allModels")}</SelectItem>
{modelOptions.map((name) => (
<SelectItem
key={name}
value={encodeOptionValue(name)}
title={name}
className="[&>span]:min-w-0 [&>span]:truncate"
>
{name}
</SelectItem>
))}
</SelectContent>
</Select>
<div className="flex items-center gap-2 ml-auto lg:ml-0">
<Select
value={String(refreshIntervalMs)}
onValueChange={(v) => changeRefreshInterval(Number(v))}
>
<SelectTrigger
className="h-9 w-[100px] bg-background text-xs focus:border-border-default"
title={t("usage.refreshInterval")}
aria-label={t("usage.refreshInterval")}
>
<span className="flex items-center gap-2">
<RefreshCw className="h-3.5 w-3.5 shrink-0" />
<SelectValue />
</span>
</SelectTrigger>
<SelectContent>
{REFRESH_INTERVAL_OPTIONS_MS.map((ms) => (
<SelectItem key={ms} value={String(ms)}>
{ms > 0 ? `${ms / 1000}s` : t("usage.refreshOff")}
</SelectItem>
))}
</SelectContent>
</Select>
<UsageDateRangePicker <UsageDateRangePicker
selection={range} selection={range}
@@ -132,6 +287,8 @@ export function UsageDashboard() {
<UsageHero <UsageHero
range={range} range={range}
appType={appType === "all" ? undefined : appType} appType={appType === "all" ? undefined : appType}
providerName={providerName}
model={model}
refreshIntervalMs={refreshIntervalMs} refreshIntervalMs={refreshIntervalMs}
/> />
@@ -139,6 +296,8 @@ export function UsageDashboard() {
range={range} range={range}
rangeLabel={rangeLabel} rangeLabel={rangeLabel}
appType={appType} appType={appType}
providerName={providerName}
model={model}
refreshIntervalMs={refreshIntervalMs} refreshIntervalMs={refreshIntervalMs}
/> />
@@ -171,6 +330,8 @@ export function UsageDashboard() {
range={range} range={range}
rangeLabel={rangeLabel} rangeLabel={rangeLabel}
appType={appType} appType={appType}
providerName={providerName}
model={model}
refreshIntervalMs={refreshIntervalMs} refreshIntervalMs={refreshIntervalMs}
onRangeChange={setRange} onRangeChange={setRange}
/> />
@@ -180,6 +341,8 @@ export function UsageDashboard() {
<ProviderStatsTable <ProviderStatsTable
range={range} range={range}
appType={appType} appType={appType}
providerName={providerName}
model={model}
refreshIntervalMs={refreshIntervalMs} refreshIntervalMs={refreshIntervalMs}
/> />
</TabsContent> </TabsContent>
@@ -188,6 +351,8 @@ export function UsageDashboard() {
<ModelStatsTable <ModelStatsTable
range={range} range={range}
appType={appType} appType={appType}
providerName={providerName}
model={model}
refreshIntervalMs={refreshIntervalMs} refreshIntervalMs={refreshIntervalMs}
/> />
</TabsContent> </TabsContent>
+11 -4
View File
@@ -1,6 +1,11 @@
import { useEffect, useMemo, useState } from "react"; import { useEffect, useMemo, useState } from "react";
import { useTranslation } from "react-i18next"; import { useTranslation } from "react-i18next";
import { CalendarDays, ChevronLeft, ChevronRight } from "lucide-react"; import {
CalendarDays,
ChevronDown,
ChevronLeft,
ChevronRight,
} from "lucide-react";
import { Button } from "@/components/ui/button"; import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input"; import { Input } from "@/components/ui/input";
import { import {
@@ -273,10 +278,12 @@ export function UsageDateRangePicker({
<Button <Button
type="button" type="button"
variant={selection.preset === "custom" ? "default" : "outline"} variant={selection.preset === "custom" ? "default" : "outline"}
className="justify-start gap-2" className="h-9 w-[100px] justify-start gap-1.5 text-xs"
title={triggerLabel}
> >
<CalendarDays className="h-4 w-4" /> <CalendarDays className="h-4 w-4 shrink-0" />
<span className="truncate">{triggerLabel}</span> <span className="truncate flex-1">{triggerLabel}</span>
<ChevronDown className="h-3.5 w-3.5 shrink-0 opacity-50" />
</Button> </Button>
</PopoverTrigger> </PopoverTrigger>
<PopoverContent <PopoverContent

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