Files
ModelRouter/internal/gateway/token_units_test.go
JianFeeeee 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

232 lines
8.5 KiB
Go

package gateway
import (
"encoding/json"
"fmt"
"net/http"
"net/http/httptest"
"strings"
"testing"
"llmsproxy/internal/config"
)
// Token accounting must record TOKENS, not byte estimates and not image
// counts. These tests pin the two units bugs found on 2026-09-27:
//
// 1. streamed chat: rec.Compl was only ever the per-chunk byte estimate
// (len(content)/3), even when the upstream sent exact usage on its final
// frame. Measured on production traffic: the same model reported a
// streamed completion median 4-27x its non-streamed median. Upstream 100
// recorded as 145.
// 2. image generation: rec.Compl was set to len(resp.ImageData) — the image
// COUNT — and folded into the token totals.
//
// A fake upstream that reports FIXED numbers makes both mismatches
// unambiguous: any difference between what it reports and what the audit
// record holds is the gateway's doing.
// fixedUsageUpstream reports prompt=prompt completion=compl on both the
// streaming and the non-streaming path. The streaming path emits usage on its
// final frame before [DONE], exactly like OpenAI-compatible upstreams.
func fixedUsageUpstream(t *testing.T, prompt, compl int, images int) *httptest.Server {
t.Helper()
return httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
var body map[string]interface{}
_ = json.NewDecoder(r.Body).Decode(&body)
stream, _ := body["stream"].(bool)
usage := fmt.Sprintf(`{"prompt_tokens":%d,"completion_tokens":%d,"total_tokens":%d}`,
prompt, compl, prompt+compl)
// Image generation wire: /v1/images/generations style body.
if strings.Contains(r.URL.Path, "image") {
w.Header().Set("Content-Type", "application/json")
var data []string
for i := 0; i < images; i++ {
data = append(data, `{"b64_json":"AAAA"}`)
}
fmt.Fprintf(w, `{"created":1,"data":[%s]}`, strings.Join(data, ","))
return
}
if !stream {
w.Header().Set("Content-Type", "application/json")
fmt.Fprintf(w, `{"model":"m1","choices":[{"message":{"content":"pong pong pong"},
"finish_reason":"stop"}],"usage":%s}`, usage)
return
}
w.Header().Set("Content-Type", "text/event-stream")
w.WriteHeader(200)
fl, _ := w.(http.Flusher)
send := func(s string) {
fmt.Fprintf(w, "data: %s\n\n", s)
if fl != nil {
fl.Flush()
}
}
// Deliberately verbose payloads: a byte-estimating path records a
// number far from `compl`, so the test would catch it.
send(`{"model":"m1","choices":[{"delta":{"reasoning_content":"` + strings.Repeat("think ", 40) + `"}}]}`)
send(`{"model":"m1","choices":[{"delta":{"content":"` + strings.Repeat("answer ", 40) + `"}}]}`)
send(`{"model":"m1","choices":[{"delta":{},"finish_reason":"stop"}]}`)
send(`{"model":"m1","choices":[],"usage":` + usage + `}`)
send(`[DONE]`)
}))
}
// lastChatRecord returns the most recent audit record whose Type is one of the
// given types.
func lastChatRecord(t *testing.T, g *Gateway, types ...string) Req {
t.Helper()
recs := g.stats.AuditRecords(0, 0, "")
want := map[string]bool{}
for _, ty := range types {
want[ty] = true
}
for i := len(recs) - 1; i >= 0; i-- {
if want[recs[i].Type] {
return recs[i]
}
}
t.Fatalf("no audit record of type %v found (have %d records)", types, len(recs))
return Req{}
}
// The streamed path must record the upstream's exact usage, not a byte
// estimate. Before the fix this recorded 145 for an upstream-reported 100.
func TestStreamedChatRecordsUpstreamUsage(t *testing.T) {
const wantPrompt, wantCompl = 44, 100
up := fixedUsageUpstream(t, wantPrompt, wantCompl, 0)
defer up.Close()
g := newTestGateway(t, config.Source{
Name: "up", BaseURL: up.URL, Adapter: "openai",
Models: []config.Model{{ID: "m1", Priority: 100}},
})
rr := doReq(t, g, "POST", "/v1/chat/completions",
`{"model":"m1","messages":[{"role":"user","content":"hi"}],"stream":true}`)
if rr.Code != 200 {
t.Fatalf("stream status=%d body=%s", rr.Code, rr.Body.String())
}
rec := lastChatRecord(t, g, "stream")
if rec.Prompt != wantPrompt || rec.Compl != wantCompl {
t.Errorf("streamed record prompt=%d completion=%d, want %d/%d — the audit "+
"must carry the upstream's tokens, not a byte estimate",
rec.Prompt, rec.Compl, wantPrompt, wantCompl)
}
}
// Streaming and non-streaming must agree on the same request's tokens. This is
// the cross-path consistency check: the two paths previously recorded 145 and
// 100 for one identical upstream usage value.
func TestStreamedAndNonStreamedAgreeOnTokens(t *testing.T) {
const wantPrompt, wantCompl = 44, 100
up := fixedUsageUpstream(t, wantPrompt, wantCompl, 0)
defer up.Close()
g := newTestGateway(t, config.Source{
Name: "up", BaseURL: up.URL, Adapter: "openai",
Models: []config.Model{{ID: "m1", Priority: 100}},
})
if rr := doReq(t, g, "POST", "/v1/chat/completions",
`{"model":"m1","messages":[{"role":"user","content":"hi"}]}`); rr.Code != 200 {
t.Fatalf("non-stream status=%d body=%s", rr.Code, rr.Body.String())
}
if rr := doReq(t, g, "POST", "/v1/chat/completions",
`{"model":"m1","messages":[{"role":"user","content":"hi"}],"stream":true}`); rr.Code != 200 {
t.Fatalf("stream status=%d body=%s", rr.Code, rr.Body.String())
}
chat, stream := lastChatRecord(t, g, "chat"), lastChatRecord(t, g, "stream")
if chat.Prompt != stream.Prompt || chat.Compl != stream.Compl {
t.Errorf("chat=%d/%d stream=%d/%d — identical upstream usage must record "+
"identically on both paths", chat.Prompt, chat.Compl, stream.Prompt, stream.Compl)
}
}
// A fallback to the byte estimate is still correct WHEN the upstream reports no
// usage at all. Without this the fix could silently zero out every streamed
// record from upstreams that omit usage.
func TestStreamedChatFallsBackToEstimateWithoutUsage(t *testing.T) {
up := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "text/event-stream")
w.WriteHeader(200)
fl, _ := w.(http.Flusher)
send := func(s string) {
fmt.Fprintf(w, "data: %s\n\n", s)
if fl != nil {
fl.Flush()
}
}
send(`{"model":"m1","choices":[{"delta":{"content":"` + strings.Repeat("abc ", 60) + `"}}]}`)
send(`{"model":"m1","choices":[{"delta":{},"finish_reason":"stop"}]}`)
send(`[DONE]`)
}))
defer up.Close()
g := newTestGateway(t, config.Source{
Name: "up", BaseURL: up.URL, Adapter: "openai",
Models: []config.Model{{ID: "m1", Priority: 100}},
})
if rr := doReq(t, g, "POST", "/v1/chat/completions",
`{"model":"m1","messages":[{"role":"user","content":"hi"}],"stream":true}`); rr.Code != 200 {
t.Fatalf("status=%d body=%s", rr.Code, rr.Body.String())
}
rec := lastChatRecord(t, g, "stream")
if rec.Compl <= 0 {
t.Errorf("completion=%d, want a positive byte-estimate fallback when the "+
"upstream reports no usage", rec.Compl)
}
}
// Image generation has no token concept: recording the image COUNT as
// completion tokens corrupted the token totals. The count is reported
// separately and must not leak into Prompt/Compl.
func TestImageGenerationDoesNotRecordTokens(t *testing.T) {
up := fixedUsageUpstream(t, 44, 100, 3)
defer up.Close()
src := config.Source{
Name: "up", BaseURL: up.URL, Adapter: "openai",
Models: []config.Model{{ID: "img-m", Priority: 100, Kind: "image"}},
}
g := newTestGateway(t, src)
rr := doReq(t, g, "POST", "/v1/images/generations",
`{"model":"img-m","prompt":"a cat","n":3}`)
if rr.Code != 200 {
t.Fatalf("image status=%d body=%s", rr.Code, rr.Body.String())
}
rec := lastChatRecord(t, g, "image")
if rec.Compl != 0 || rec.Prompt != 0 {
t.Errorf("image record prompt=%d completion=%d, want 0/0 — image count is "+
"not a token and must not enter the token totals", rec.Prompt, rec.Compl)
}
if rec.ImageCount != 3 {
t.Errorf("image_count=%d, want 3 (the count belongs in its own field)", rec.ImageCount)
}
// And the aggregate must see zero tokens for it.
if got := g.stats.WindowTokens("img-m", "", 3600); got != 0 {
t.Errorf("window tokens for an image model = %d, want 0", got)
}
}
// The audit JSON must carry image_count so the WebUI can show images rather
// than a bogus token figure.
func TestImageCountSurvivesAuditJSON(t *testing.T) {
b, err := json.Marshal(Req{Type: "image", ImageCount: 2, OK: true})
if err != nil {
t.Fatal(err)
}
if !strings.Contains(string(b), `"image_count":2`) {
t.Errorf("audit JSON %s lacks image_count", b)
}
// Omitempty keeps chat records unchanged.
b2, _ := json.Marshal(Req{Type: "chat", Prompt: 1, Compl: 2, OK: true})
if strings.Contains(string(b2), "image_count") {
t.Errorf("chat record %s should omit image_count", b2)
}
}