Commit Graph

22 Commits

Author SHA1 Message Date
42764bc99e feat(plugin): AUTO 调度轨迹可见(chain_step stage)
被问"还有 auto 调度相关 stage 呢?"问出来的真实缺口。

## 问题
chainDrive 只返回 (resp, src, model, err),调用方只知道**最终哪个槽位赢了**。
遍历过程中算出来又丢掉的东西——哪些档被跳过、为什么跳过、哪些槽位硬失败、
哪档全忙——一律不可见。ChainErr 里其实有这些,但**只在全部失败时**才填,
而它是 error 返回值不是记录。于是:

    "tier 1 冷却所以降级到 tier 3"  ==  "tier 1 正常接单"

对插件而言 tier 只是个常量 -2("resolved by the chain"),信息量为零。而这
恰恰是优先级链存在的全部理由,也是"我那个贵模型为什么没被用"的答案。

## 做法(scheduler 侧零新依赖)
新增 TraceEvent / TraceSink,chainDrive 多一个可选 sink 参数:

  - TraceEvent 是本包的普通 struct,sink 是 func 参数 ⇒ **不新增 import**,
    scheduler 仍然可独立测试
  - sink 为 nil 时每次 emit 只多一次 nil 判断;没有插件的网关在 AUTO 热路径上
    零开销(gateway 的 chainTraceSink 直接返回 nil)
  - 事件是纯观测:scheduler 不基于它做任何分支,gateway 也不把它喂回路由/
    冷却/配额

四种 kind:tier_skip / slot_fail / tier_busy / selected,selected 每次成功
遍历恰好一次且是最后一步。顺序保证所有 step 在 routed 之前。

## 暴露给插件
新增 chain_step stage(逐个步骤),并在 request_end 载荷里加三个便于做报表的
字段:chain_walk(上限 12 步,防审计记录膨胀)、degraded、tier_served。

## ★ 计费口径(我按推荐的做,已写进文档,需要你确认)
**按实际服务的模型计费**:降级到 tier 3 仍按 tier 3 的价算,轨迹只作观测。
理由与 §7.5 的边界一致——插件只报表不执法,两套口径混在一起会引出"降级该不该
多收钱"这种无法从代码判断的争议。若要改成"按本该用的档计价",需要在 models
价目里允许按 tier 定价,这我没做,因为那是个产品决策。

## 计费插件同步消费
by_tier_served / skip_reasons / degraded_reqs 三个新维度。skip_reasons 的等待
时长做了归一(`no free slot within <wait>`),否则 busy-wait 文案一变就多一行。
降级次数在 request_end 里计而不是在 chain_step 里计:一次降级的请求要走多步,
按步计会重复计数。

## 判据(346 个测试全绿,新增 15 个)
  scheduler  6 个:正常路径只发一个 selected / 跳档+降级可见 / 硬失败与跳档
                严格区分(不可混为一谈,否则抖动上游看起来像空闲上游)/
                nil sink 安全 / 全失败时轨迹与 ChainErr 并存且不互相破坏 /
                空链不发事件
  gateway    1 个端到端:tier 1 全 500 → 插件收到 slot_fail(tier 1) +
                selected(tier 2),request_end 的 tier_served=2 且 degraded=true
  lua        2 个:降级计数与按实际模型计价 / 跳过原因归一聚合
  lua        1 个:chain_step 是真 stage 且顺序正确

3 个变异都红:去掉 slot_fail(3 个判据红)/ 去掉 tier_skip(1 个)/
去掉 degraded 字段(1 个)。
2026-10-02 01:03:39 +08:00
a2e1adc2d8 fix(gemini): endpoint 自相矛盾导致预置模板必失败
gemini.lua 里 adapter.endpoint = "/v1/models",而它自己的注释写的是
  POST /v1/models/{model}:generateContent
两者矛盾,而 Go 侧是静态拼接(provider.URL = base_url + endpoint),拼不出
模型名。预置模板 "Google Gemini"(base_url=.../v1beta)于是会 POST 到
  https://generativelanguage.googleapis.com/v1beta/v1/models
既多一段 /v1,又缺 :generateContent——那是 Gemini 的模型**列表**端点,
对 POST 返 405。所以任何用户从模板建这个源,拿到的都是必定失败的源。

实测确认影响范围:线上 21 个源里没有 gemini(openai×15 / trae / sensenova /
opencodezen / deepseek / anthropic / agentrouter),所以是潜伏缺陷。

修法:endpoint 改成模板 `/v1beta/models/{model}:generateContent`,新增
provider.ChatURL(model, stream):
  - 用 **PathEscape** 替换 {model}——模型 id 进的是 URL 路径,不转义的话
    一个 "/" 就会静默指向另一个资源(判据里用 RequestURI 而非 URL.Path
    断言,因为后者是解码后的,看不出 %2F);
  - 流式把 ":generateContent" 换成 ":streamGenerateContent"(同一个路径、
    不同动词,也在路径里)。替换刻意只认这个精确后缀,免得别的适配器
    仅仅提到这个词就被改写;
  - source 自己设的 endpoint: 仍然优先,模板被整体跳过。
Chat / ChatStream / probeChat 三处调用点改为传本次请求真实的 model——AUTO
按槽位把 req.Model 钉死,所以 URL 必须跟随**请求**的模型,用源默认模型会让
多模型源每次都打同一个(还记到别的模型的账上)。

判定静态 endpoint 的其他 10 个适配器零影响(TestNonGeminiEndpointsAreUntouched)。

顺带:Stats 的 mutex 不是可重入的,导出方法自己加锁、*Locked 后缀要求调用
方持锁。持锁调导出方法会死锁——我的探针真卡死过一次(直到 10 分钟超时)。
补上 LOCKING 注释,并加判据把这条规则钉住(含一个 20 秒上限的行为判据,
让未来的重构撞死锁时快速失败而不是拖满整个套件)。
2026-10-01 23:37:17 +08:00
0121d23f91 fix(tokens): 流式统计改用上游真实 usage,图片不再记 token
两处 token 单位错误,均影响 per-model 配额计费:

1. 流式路径的 prompt/completion 只是「字节÷3」估算。
   pumpStream 明明收到了上游最后一帧的真实 usage,却只发给客户端、
   从不回写审计记录,于是配额按估算值扣。生产实测同一请求:
   上游 prompt=37/completion=179 → 记账 27/262,prompt 低估 1.4x、
   completion 高估 1.5x(双向失真)。同模型流式 completion 中位数
   是非流式的 4-27 倍。非流式路径本就用真实值,两路不一致。
   修法:lastUsage 非零时写回 rec.Prompt/rec.Compl,估算降为兜底
   (上游不报 usage 时仍保留原估算行为)。

2. 图片请求把「图片张数」记成 completion_tokens。
   rec.Compl = int64(len(resp.ImageData)),len 是切片长度即张数
   (生产 38 条 image 记录全是 1),且被计入 token 总量。
   图片生成无 token 概念 ⇒ 新增 Req.ImageCount 独立字段,
   Prompt/Compl 归 0;UI 记录表 image 行改显示张数(新增 i18n thImgs)。

顺带补 TestUILocaleKeyParity:此前无人校验 zh/en 键集合一致,
单边加键不会报错,只会显示原始键名。

新增 token_units_test.go(定值上游 6 项),做过变异验证:
回退修复实测复现 stream=16/173 vs chat=44/100、image completion=3。
2026-09-28 22:19:12 +08:00
d072a03c9a perf(gateway): 配额桶扫描改为窗口化 + pinned 桶惰性创建
审查本特性线的性能时发现两个问题,均有实测数据。

## 1. 窗口查询是全扫,代价落在每个请求上

sumBuckets 原来遍历整个 map(最多 960 个小时桶),实测 5.9us/op。
配额检查在每个请求上跑 2-3 次(key 总 token、key 请求数、scope token),
于是单请求多付约 18us。

注意这**不是本改动引入的成本**:main 上既有的 WindowTokens 同样是
5907ns/op(全扫)。是本改动让它在请求路径上被调用得更多。

改为只遍历窗口可能覆盖的桶(键是整点小时,范围是精确的,不是采样):
- 24h 窗口 200ns -> 55ns
- 1h  窗口  80ns -> 49ns
- 30d 窗口 5.9us -> 3.9us(720 次查找,只有配 month 配额时才走到)

等价性由 TestSumBucketsMatchesFullScan 保证(400 组随机桶位置 x 6 种
窗口,对全扫逐项比对)。★ 第一次写错成 floor,判据立刻抓到:
30 天窗口报 8878 而全扫是 8649 —— 正确是 ceil。

## 2. pinned 桶无条件创建,内存最坏 26.7MB

每条记录写两个桶:裸 model 与 "source::model"。但 pinned 桶只有
「配额里显式 pin 了 source」时才会被查。

实测最坏情况(20 key x 8 model x 3 source x 40 天全 retention):
HeapAlloc 26.67MB —— 而 README 宣传「16 源生产实例 ~32-35MB」,
等于吃掉 80% 内存预算。

改为惰性:只有 KeyWindowModelTokens 带 source 查询过某个 (key, model)
之后,才开始维护它的 pinned 桶。

  20key x 8model x 3src   26.67MB -> 8.87MB  (-67%)
  5key x 6model(真实)     3.36MB -> 2.26MB  (-33%)
  5key x 12model            5.82MB -> 3.59MB  (-38%)

代价:配 pinned 配额之前发生的用量无法事后按源拆分(记录里虽然有
Source,但桶只存了裸 model),所以 pinned 配额的首个窗口可能少算。
已在代码注释与判据中写明。

## 其余实测

  Record        main 基线 275ns/429B/3allocs -> 283ns/429B/3allocs
                (+8ns,分配数不变;3 allocs 来自 ring buffer)
  配额检查全路径  115ns / 0 allocs(每请求新增)
  纯读路径      6.5ns / 0 allocs

## 100 并发调度/拒绝压测(真实进程 + 可报并发峰值的假上游)

  容量 100(4+96),0.15s/请求,100 并发  ok=100 fail=0   上游峰值 42
  容量 100,0.15s/请求,200 并发          ok=200 fail=0   上游峰值 97
  容量 8,3s/请求,100 并发               ok=8   fail=92  上游峰值 8
  容量 8,0.6s/请求,100 并发             ok=32  fail=68  上游峰值 8
  容量 8,0.6s/请求,40 并发              ok=32  fail=8   上游峰值 8

上游峰值恒定不超过 max_concurrent,容量拒绝返回 503 + busyWait 有界
等待(约 2.6s)。main 基线在同条件下 ok=32 fail=68、上游峰值 8、
延迟分布相同 —— 配额改动没有触碰调度/拒绝路径。

配额拒绝单独验证(低并发避开容量拒绝):req_quota=50 用尽后
100 并发全部 429 rate_limit_exceeded + Retry-After: 1661,
**延迟仅 19-21ms**、上游 total 未增加 —— 配额在入口廉价拒绝,
不占用任何上游槽位,与容量不足的昂贵等待形成明确分工。

## 判据

key_quota_perf_test.go:4 个基准 + 2 个判据(sumBuckets 等价性、
pinned 桶惰性)。3/3 变异全被抓(无条件建 pinned 桶、firstHour 用
floor、keyHour 不再写)。

(cherry picked from commit be11a06a46)
2026-09-27 18:44:41 +08:00
9c3aabb7f9 feat(gateway): per-key 用量配额(token + 请求数)与重置周期
问题:密钥控制只能限制模型范围。实测发现三个缺陷,其中前两个让
per-model token_quota 在真实链路上从未生效:

1. 桶键不含 key。scopeTokens 调 WindowTokens(model, source, win),
   桶键是 model / source::model,与调用方无关。实测两把 key 各用
   1000 token,窗口报 2000 —— A key 的额度被 B key 消耗。
2. 无 source pin 的桶永远是空的。真实记录 Source 总被填上,桶键存成
   "deepseek::m1",而无 pin 的查询找 "m1" —— 读到 0,永远 < quota,
   配额形同虚设。实测 WindowTokens("m1","",1h)=0 而 pinned=2000。
3. AUTO scope 走 KeyTokens(key),是全时段累计、永不重置。实测 30 天
   前的 200 token 仍计入 1 小时配额(报 210 而非 10)。配了
   period: hour 也不会每小时归零。

生产 5 把 user key 全是 token_quota: 0,所以前两条一直没暴露。

改动:
- Stats 新增 per-key 小时桶 keyModelHour(key → model → hour)与
  keyHour(key 总量)、keyReqHour(请求数),retention 40 天,与既有
  modelHour 对齐以覆盖最长的 month 窗口;LoadAudit 走 aggregateLocked,
  所以窗口用量跨重启存活。modelHour 保持 key-blind:它服务的是 AUTO
  槽位配额(限制整个网关对某槽位的消耗),语义不同,不应被 per-key
  改造污染。
- 每个请求写两份模型桶:裸 model 与 source::model。无 pin 的 scope
  条目读前者,有 pin 的读后者。
- GWKey 新增 TokenQuota / ReqQuota / Period / Hours:整钥配额,
  跨该 key 所有模型共享一份预算;ReqQuota 覆盖持续请求量(源上的
  RPM 只管突发)。
- 配额耗尽返回 429 + Retry-After(rate_limit_exceeded),而不是 403:
  403 让客户端以为这把 key 永远不能用该模型,直接放弃;429 + 等待
  才能在窗口重置后自动恢复。模型越权仍是 403。
- admin key 永不受配额限制 —— 否则操作者会把自己锁在门外。
- 周期词表在写入时校验,拼错的 period 被拒绝而不是静默当成永不过期
  (那与操作者输入的意图正好相反)。
- PUT /api/keys 的配额字段是指针:省略=保留原值,显式 0=解除限制。
  否则只改模型范围就会悄悄清空预算。

判据 3 个文件 24 例,9 个变异全部被抓:key 隔离、pin 桶缺失、
AUTO 周期、key-blind 退化、429→403、admin 被限、PUT 清空配额、
Validate 失效、pinned 桶缺失。前三个变异最初漏网 —— 判据只测了
Stats 层没测接线,补了走真实 HTTP 的接线层与 API 层判据后抓住。
端到端验证:真实进程 + 加密配置往返,配额字段与 enc:v1 密钥均正常。

(cherry picked from commit 5306251840)
2026-09-27 18:44:41 +08:00
3ddae41f0c fix(gateway): aggregate the full audit history, repair record paging
Two problems reported after the on-demand log work landed.

1. Dashboard totals were wrong. LoadAudit only replayed the last 4 MB of the
   audit file, so requests/tokens/per-key rows reflected a window instead of all
   time — a regression in reported numbers, not just in presentation.

   The aggregates are now built by streaming EVERY audit file (oldest first, so
   the hourly quota buckets keep their intended trailing window) and keeping
   nothing per record: aggregate maps are keyed by key/model/source, so their
   size is bounded by cardinality. Measured on the production host: 29 MB /
   221k lines / 37k requests in ~260 ms at startup.

   What stays bounded is the RAW-record ring: a fixed-size reqRing keeps only the
   newest maxRecs records, so the ~25 MB that used to be spent appending every
   record into a slice is still saved. auditReplayBytes is gone, and
   replayPartial now means "an audit file could not be read", which is the only
   remaining way for the totals to be incomplete.

2. Scrolling to the bottom stopped loading more records. Two independent causes:

   * paintRecords rebuilt the entire table on every 5s poll whenever the row
     count did not exceed the first screen — the "is a paged view live?" test
     compared row counts and matched exactly on the first refresh — wiping loaded
     pages and resetting scroll position.
   * IntersectionObserver only fires on TRANSITIONS. With a short list, or after a
     page whose rows all duplicated the first screen, the sentinel stayed visible
     and never fired again.

   paintRecords now builds once (recsState.built) and later polls PREPEND only
   genuinely new rows; attachRecsObserver adds a scroll-position fallback;
   fillRecordsViewport loads until the list actually overflows; and
   loadMoreRecords chains (bounded) when a page yields no new rows, since the
   first fetch necessarily overlaps the first screen.

TestUIRecordsPagingWiring pins all four mechanisms structurally, since none of
them is reachable from Go. Test names/comments referring to bounded replay are
updated to describe the bounded RING instead, and both READMEs now state that
totals come from the full history while records are paged.
2026-08-30 09:29:42 +08:00
d42c02b15d perf(gateway): load request logs on demand instead of holding them in memory
Startup RSS on this deployment was 56 MB with a 29 MB audit log and ~10 MB
without one: LoadAudit() json-unmarshalled the ENTIRE file into the aggregates
and kept a 10000-entry ring of raw records. Two more paths had the same shape —
AuditRecords() materialized a whole export window into a []Req before sorting
it, and a dashboard poll serialized the full ring so the browser could render
300 rows of it.

The audit file is now the source of truth and memory only holds the live
window:

  * LoadAudit replays only the last auditReplayBytes (4 MB) and drops the
    truncated first line; the ring default drops 10000 -> 500, which still
    covers both of its consumers (the status page's 5-minute SourceRecent /
    SourceAverages windows and the first screen of the records table).
    replayPartial is exported so the UI can say the totals cover a window
    rather than all time. Token-quota accounting is unaffected: it reads the
    modelHour buckets, not the ring (pinned by a test).
  * AuditPage(cursor, limit, key) pages records straight off disk, reading the
    newest file backwards in 64 KB chunks and returning as soon as the page is
    full. The cursor is "<file>:<offset>" and walks into rotated .old files;
    a cursor whose file rotated away reports rotated=true so the client can
    reset instead of silently skipping records. No state is cached between
    requests and the file handle is closed before responding, so "release when
    the user leaves the page" is guaranteed by never retaining anything.
  * StreamAuditRecords(from,to,key,fn) replaces the accumulate-then-sort export
    path; the CSV handler writes rows as they are read and flushes every 1000,
    and a write error (client gone) aborts the walk. Export memory is O(1)
    regardless of the window. AuditRecords is kept as a test-only wrapper.
  * Snapshot ships one screen (firstScreenRecords=100) by default; aggregates
    are untouched.
  * Audit rotation 64 MB x 10 -> 16 MB x 16: same 256 MB total budget, but a
    smaller newest file keeps the first reverse page cheap.

New route: GET /api/stats/records?before=&limit=&key= (non-admins are pinned to
their own key by exportKey). /api/status additionally reports adapter_pools for
admins.

Measured with production's 29 MB audit copied to the test instance: startup RSS
19.0 MB (was 56 MB); scrolling 10 pages (1000 records) +0.7 MB; exporting the
full history (36441 rows / 4.4 MB CSV) +0.1 MB with no residual growth.
2026-08-30 08:05:54 +08:00
dev
21ec8f59d8 feat: surface zero cache hits — distinguish 'missed' from 'not reported'
Live testing across the zen pool showed models report
prompt_tokens_details.cached_tokens even when the hit count is 0 (e.g.
nemotron-3-ultra-free returns cached_tokens:0, audio_tokens:0,
cache_write_tokens:0). The previous >0 guard dropped those objects, so a
cache-enabled upstream looked identical to one without cache support.

- types: PromptTokensDetails.CachedTokens always emitted (drop inner
  omitempty) so clients see cached_tokens:0 explicitly; dsh reads it as
  a 0% hit instead of 'no data'
- adapters (9): forward prompt_tokens_details whenever the upstream
  provides it (presence check instead of >0)
- Req: add cache_reported flag set when usage carried cache accounting;
  WebUI shows an amber 0% tag for reported-but-missed rows and keeps
  the em-dash only for sources that never report cache data
2026-08-25 10:04:44 +08:00
dev
24609289e8 feat: record cache hit/miss per request in audit trail and WebUI
- Req: add CacheHit and CacheMiss fields (carrying upstream cache
  accounting from either prompt_tokens_details.cached_tokens or legacy
  prompt_cache_hit_tokens)
- recordChatUsage (non-streaming): copy cache fields from resp.TokenUsage
- pumpStream (streaming): write lastUsage cache fields back onto rec at
  stream end, so streaming requests carry cache data too
- CSV export: add first_byte_ms, cache_hit_tokens, cache_miss_tokens
  columns alongside the existing latency/prompt/completion
- WebUI request-records table: add a Cache column showing hit% per row
  (green/amber tag with tooltip hit/miss breakdown; em-dash when the
  upstream reported no cache data)
2026-08-25 09:36:21 +08:00
dev
18c2385c61 feat: add per-source TTFB and tokens/s metrics to status page
- Req: add FirstByteMs field (ms to first byte, tracked for streaming)
- Stat: add FirstByteSum for aggregation
- SourceAverages(): new method computing per-source avg TTFB and tokens/s
  from the in-memory ring (300s window)
- SourceStatus: add AvgFirstByteMs and AvgTokPerS fields
- pumpStream: record FirstByteMs after first SSE chunk sent to client
- singleChat/singleChatAuto: set FirstByteMs = LatMs (non-streaming)
- handleStatusAPI: populate the new SourceStatus fields from SourceAverages()
- WebUI source table: two new columns showing TTFB (s) and Tokens/s
2026-08-25 08:24:08 +08:00
dev
ef396f9b47 chore: remove dead code found in redundancy audit
- provider.truncate: zero callers (oneLineStr is the used superset)
- gateway.normalizeModel: zero callers
- config.resolvedAPIKey: zero callers (core.resolveSourceKey is the live equivalent)
- Stats.Records: zero callers (CSV export uses AuditRecords)
- store.containsString: zero callers
- Config.MaxConcurrent: global inflight-cap field never read; per-source
  MaxConcurrent is what actually drives semaphores. Legacy configs carrying a
  top-level max_concurrent key still load (yaml.v3 ignores unknown fields —
  verified by test).
- gui renderer esc(): zero callers; renderer uses textContent, and the embedded
  WebUI has its own esc()
2026-08-24 22:25:21 +08:00
8c5279b416 fix(status): source column reflects real traffic + theme-aware tray menu
- api/status sources now carry recent_ok/recent_err (last 300s real gateway
  requests via Stats.SourceRecent) so a source actually serving traffic is
  never shown as down just because probe /models got rate-limited
- WebUI source status column repaints every 5s (no more frozen-at-first-
  render) with a manual refresh button; shows success rate + probe + cooldown
- tray menu status rows were enabled:false (GTK fixed light-grey, invisible
  on light themes) — now enabled with no-op click and nativeTheme listener
  rebuilds the menu on dark/light switches
- ignore local ops scripts (scripts/, machine-specific)
2026-08-17 17:37:04 +08:00
2bc1d0e67a feat: opencode zen adapter + first-run config generation, fix stats/stream bugs
- adapters/opencode.lua: opencode.ai zen free pool adapter — sends the
  opencode client User-Agent (zen fingerprints clients by UA; non-official
  clients hit FreeUsageLimitError); pairs with api_key: public
- config: no config file ships in the repo; first run generates a default
  config at the -config path with a random admin key, loopback listen and a
  keyless zen source (config.EnsureDefault); remove config.example.yaml
- lua: seed bundled adapters from the embedded FS instead of a hardcoded
  name list
- ui: widen model kind select (chat was clipped to 'cha')
- phase 5 bugfixes: stats ms/s bucket mixing, cleanScopes nil, ctx.Err
  guards, direct-path ModelAvailable, empty stream body failure,
  bestImageModel rewrite, transform failure recording, Core.mu, timer,
  effective model for tool-calls
2026-08-13 12:25:07 +08:00
854b3e2e37 fix: AUTO tier order ascending + stats/CSV export completeness + UI key-view toggle & exit affordance
- scheduler: BuildChain sorts tiers ascending so tier 1 (highest priority) is tried first; previously descending inverted the chain (P10-1..P10-5)
- stats/api: handleStatsAPI limit→20000; CSV reads full audit via new Stats.AuditRecords (includes *.old rotation); key_names mapped by keyID() masked key; non-admin filter and keys-csv use masked keys
- server: ring buffer NewStats(10000)
- ui: dash-row card scroll area moved to table container (fix overflow below card); key view toggle (re-click same key returns to global) + kpi-exit affordance; rec-exit span
- chat: chain-failure record now surfaces first failed tier; AUTO comment sync
2026-08-11 13:36:23 +08:00
e8ef73321c fix: restart wipes stats history — LoadAudit replayed only the last 3000 lines (92% of which are 3s access events) and fed access rows into aggregates; now replays every real request into totals/quota windows, skips event rows, tolerates >64KB lines; +TestLoadAuditFullReplay 2026-08-11 08:42:13 +08:00
88802f9ef6 feat: AUTO chain rewrite — silent failover+busy skip+pref round-robin+503 tier summary; chain edits reset slot cooldowns (P0/P1); stats by_status + audit jsonl rotation; UI priority-page health badges & status-code card; ctx-menu capture-phase close (outside-press guard); main.go ops warnings; local bundled-Lua verified tests (3 latent bugs fixed); plan.md 2026-08-11 00:03:11 +08:00
63c2b13b4b fix: WebUI 密钥用量导出 CSV + 修复 Stats API key 过滤 bug
- api.go: 非 admin 用户过滤改用完整 key;keyNames 映射用完整 key;keys-csv 导出支持 key 查询参数过滤,安全类型断言
- stats.go: 新增 StatsRow 类型和 rows() 函数供导出使用
- server.go: handleStatusAPI 返回当前用户 key(已存在逻辑)
- index.html: 密钥用量卡片右上角添加导出 CSV 按钮(与请求记录一致)
2026-08-10 14:52:30 +08:00
597babe331 fix(stats): drop empty-model records from model aggregates; clean stale blank audit entries 2026-08-10 08:57:33 +08:00
d48b993010 feat(auto): AUTO-only priority chain with tiered slots + live source probing; CSV export w/ key names; audit persistence; fix prompt token accounting & deepseek thinking 2026-08-10 00:10:19 +08:00
859d310ad3 feat(auto): quota-aware AUTO slot scheduling (model tiers, hour/week/month resets) + key scope periods; fix key/slot create/delete UX 2026-08-09 11:07:38 +08:00
3408c9cb1f feat(keys): role-based gateway keys with admin management UI and per-user model scope 2026-08-09 10:01:40 +08:00
dec03238dd feat(stats): gateway request stats/audit API + polish scratch sort animations (link chain, reset, cleanup) 2026-08-08 13:34:40 +08:00