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Commit 9acf5fec by Calcium-Ion Committed by GitHub
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feat: collect model performance metrics (#4635)

parent 8b2b03d2
Showing with 1078 additions and 120 deletions
controller/perf_metrics.go 0 → 100644
package controller
import (
"net/http"
"strconv"
perfmetrics "github.com/QuantumNous/new-api/pkg/perf_metrics"
"github.com/gin-gonic/gin"
)
func GetPerfMetrics(c *gin.Context) {
modelName := c.Query("model")
if modelName == "" {
c.JSON(http.StatusBadRequest, gin.H{
"success": false,
"message": "model is required",
})
return
}
hours := 24
if rawHours := c.Query("hours"); rawHours != "" {
if parsed, err := strconv.Atoi(rawHours); err == nil {
hours = parsed
}
}
result, err := perfmetrics.Query(perfmetrics.QueryParams{
Model: modelName,
Group: c.Query("group"),
Hours: hours,
})
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{
"success": false,
"message": err.Error(),
})
return
}
c.JSON(http.StatusOK, gin.H{
"success": true,
"data": result,
})
}
controller/relay.go
......@@ -15,6 +15,7 @@ import (
"github.com/QuantumNous/new-api/logger"
"github.com/QuantumNous/new-api/middleware"
"github.com/QuantumNous/new-api/model"
perfmetrics "github.com/QuantumNous/new-api/pkg/perf_metrics"
"github.com/QuantumNous/new-api/relay"
relaycommon "github.com/QuantumNous/new-api/relay/common"
relayconstant "github.com/QuantumNous/new-api/relay/constant"
......@@ -239,6 +240,11 @@ func Relay(c *gin.Context, relayFormat types.RelayFormat) {
retryLogStr := fmt.Sprintf("重试：%s", strings.Trim(strings.Join(strings.Fields(fmt.Sprint(useChannel)), "->"), "[]"))
logger.LogInfo(c, retryLogStr)
}
if newAPIError != nil {
gopool.Go(func() {
perfmetrics.RecordRelaySample(relayInfo, false)
})
}
}
var upgrader = websocket.Upgrader{
......
main.go
......@@ -19,6 +19,7 @@ import (
"github.com/QuantumNous/new-api/middleware"
"github.com/QuantumNous/new-api/model"
"github.com/QuantumNous/new-api/oauth"
perfmetrics "github.com/QuantumNous/new-api/pkg/perf_metrics"
"github.com/QuantumNous/new-api/relay"
"github.com/QuantumNous/new-api/router"
"github.com/QuantumNous/new-api/service"
......@@ -306,6 +307,8 @@ func InitResources() error {
return err
}
perfmetrics.Init()
// 启动系统监控
common.StartSystemMonitor()
......
model/main.go
......@@ -280,6 +280,7 @@ func migrateDB() error {
&SubscriptionPreConsumeRecord{},
&CustomOAuthProvider{},
&UserOAuthBinding{},
&PerfMetric{},
)
if err != nil {
return err
......@@ -328,6 +329,7 @@ func migrateDBFast() error {
{&SubscriptionPreConsumeRecord{}, "SubscriptionPreConsumeRecord"},
{&CustomOAuthProvider{}, "CustomOAuthProvider"},
{&UserOAuthBinding{}, "UserOAuthBinding"},
{&PerfMetric{}, "PerfMetric"},
}
// 动态计算migration数量，确保errChan缓冲区足够大
errChan := make(chan error, len(migrations))
......
model/perf_metric.go 0 → 100644
package model
import (
"time"
"gorm.io/gorm"
"gorm.io/gorm/clause"
)
// PerfMetric stores aggregated relay performance metrics for the model square.
type PerfMetric struct {
Id int `json:"id" gorm:"primaryKey"`
ModelName string `json:"model_name" gorm:"size:128;uniqueIndex:idx_perf_model_group_bucket,priority:1"`
Group string `json:"group" gorm:"column:group;size:64;uniqueIndex:idx_perf_model_group_bucket,priority:2"`
BucketTs int64 `json:"bucket_ts" gorm:"uniqueIndex:idx_perf_model_group_bucket,priority:3;index:idx_perf_bucket_ts"`
RequestCount int64 `json:"request_count" gorm:"default:0"`
SuccessCount int64 `json:"success_count" gorm:"default:0"`
TotalLatencyMs int64 `json:"total_latency_ms" gorm:"default:0"`
TtftSumMs int64 `json:"ttft_sum_ms" gorm:"default:0"`
TtftCount int64 `json:"ttft_count" gorm:"default:0"`
}
func (PerfMetric) TableName() string {
return "perf_metrics"
}
func UpsertPerfMetric(metric *PerfMetric) error {
if metric == nil || metric.RequestCount == 0 {
return nil
}
return DB.Clauses(clause.OnConflict{
Columns: []clause.Column{
{Name: "model_name"},
{Name: "group"},
{Name: "bucket_ts"},
},
DoUpdates: clause.Assignments(map[string]interface{}{
"request_count": gorm.Expr("request_count + ?", metric.RequestCount),
"success_count": gorm.Expr("success_count + ?", metric.SuccessCount),
"total_latency_ms": gorm.Expr("total_latency_ms + ?", metric.TotalLatencyMs),
"ttft_sum_ms": gorm.Expr("ttft_sum_ms + ?", metric.TtftSumMs),
"ttft_count": gorm.Expr("ttft_count + ?", metric.TtftCount),
}),
}).Create(metric).Error
}
func GetPerfMetrics(modelName string, group string, startTs int64, endTs int64) ([]PerfMetric, error) {
var metrics []PerfMetric
query := DB.Model(&PerfMetric{}).
Where("model_name = ? AND bucket_ts >= ? AND bucket_ts <= ?", modelName, startTs, endTs)
if group != "" {
query = query.Where(commonGroupCol+" = ?", group)
}
err := query.Order("bucket_ts ASC").Find(&metrics).Error
return metrics, err
}
func DeletePerfMetricsBefore(cutoffTs int64) error {
if cutoffTs <= 0 {
return nil
}
return DB.Where("bucket_ts < ?", cutoffTs).Delete(&PerfMetric{}).Error
}
func PerfMetricStartTime(hours int) int64 {
if hours <= 0 {
hours = 24
}
return time.Now().Add(-time.Duration(hours) * time.Hour).Unix()
}
pkg/perf_metrics/flush.go 0 → 100644
package perfmetrics
import (
"fmt"
"strconv"
"time"
"github.com/QuantumNous/new-api/common"
"github.com/QuantumNous/new-api/model"
"github.com/QuantumNous/new-api/setting/perf_metrics_setting"
)
func flushLoop() {
for {
interval := perf_metrics_setting.GetFlushIntervalMinutes()
time.Sleep(time.Duration(interval) * time.Minute)
setting := perf_metrics_setting.GetSetting()
if !setting.Enabled {
continue
}
flushCompletedBuckets()
cleanupExpiredMetrics(setting.RetentionDays)
}
}
func flushCompletedBuckets() {
currentBucket := bucketStart(time.Now().Unix())
hotBuckets.Range(func(key, value any) bool {
k := key.(bucketKey)
if k.bucketTs >= currentBucket {
return true
}
bucket := value.(*atomicBucket)
drained := bucket.drain()
if drained.requestCount == 0 {
deleteOldEmptyBucket(k, key)
return true
}
err := model.UpsertPerfMetric(&model.PerfMetric{
ModelName: k.model,
Group: k.group,
BucketTs: k.bucketTs,
RequestCount: drained.requestCount,
SuccessCount: drained.successCount,
TotalLatencyMs: drained.totalLatencyMs,
TtftSumMs: drained.ttftSumMs,
TtftCount: drained.ttftCount,
})
if err != nil {
bucket.addCounters(drained)
common.SysError(fmt.Sprintf("failed to flush perf metric bucket model=%s group=%s bucket=%d: %s", k.model, k.group, k.bucketTs, err.Error()))
return true
}
deleteOldEmptyBucket(k, key)
return true
})
}
func deleteOldEmptyBucket(k bucketKey, rawKey any) {
if k.bucketTs < bucketStart(time.Now().Add(-24*time.Hour).Unix()) {
hotBuckets.Delete(rawKey)
}
}
func cleanupExpiredMetrics(retentionDays int) {
if retentionDays <= 0 {
return
}
cutoff := time.Now().Add(-time.Duration(retentionDays) * 24 * time.Hour).Unix()
if err := model.DeletePerfMetricsBefore(cutoff); err != nil {
common.SysError("failed to cleanup expired perf metrics: " + err.Error())
}
}
func redisCounters(values map[string]string) counters {
return counters{
requestCount: parseRedisInt(values["req"]),
successCount: parseRedisInt(values["ok"]),
totalLatencyMs: parseRedisInt(values["lat"]),
ttftSumMs: parseRedisInt(values["ttft"]),
ttftCount: parseRedisInt(values["ttft_n"]),
}
}
func parseRedisInt(value string) int64 {
if value == "" {
return 0
}
parsed, _ := strconv.ParseInt(value, 10, 64)
return parsed
}
pkg/perf_metrics/metrics.go 0 → 100644
package perfmetrics
import (
"context"
"fmt"
"sort"
"sync"
"time"
"github.com/QuantumNous/new-api/common"
"github.com/QuantumNous/new-api/model"
relaycommon "github.com/QuantumNous/new-api/relay/common"
"github.com/QuantumNous/new-api/setting/perf_metrics_setting"
)
var hotBuckets sync.Map
const seriesSchema = "dbcd0a3c01b55203"
func Init() {
go flushLoop()
}
func RecordRelaySample(info *relaycommon.RelayInfo, success bool) {
if info == nil {
return
}
now := time.Now()
hasTtft := info.IsStream && info.HasSendResponse()
ttftMs := int64(0)
if hasTtft {
ttftMs = info.FirstResponseTime.Sub(info.StartTime).Milliseconds()
}
Record(Sample{
Model: info.OriginModelName,
Group: info.UsingGroup,
LatencyMs: now.Sub(info.StartTime).Milliseconds(),
TtftMs: ttftMs,
HasTtft: hasTtft,
Success: success,
})
}
func Record(sample Sample) {
setting := perf_metrics_setting.GetSetting()
if !setting.Enabled || sample.Model == "" {
return
}
if sample.Group == "" {
sample.Group = "default"
}
if sample.LatencyMs < 0 {
sample.LatencyMs = 0
}
key := bucketKey{
model: sample.Model,
group: sample.Group,
bucketTs: bucketStart(time.Now().Unix()),
}
actual, _ := hotBuckets.LoadOrStore(key, &atomicBucket{})
actual.(*atomicBucket).add(sample)
recordRedis(key, sample)
}
func Query(params QueryParams) (QueryResult, error) {
if params.Hours <= 0 {
params.Hours = 24
}
if params.Hours > 24*30 {
params.Hours = 24 * 30
}
endTs := time.Now().Unix()
startTs := endTs - int64(params.Hours)*3600
merged := map[bucketKey]counters{}
rows, err := model.GetPerfMetrics(params.Model, params.Group, startTs, endTs)
if err != nil {
return QueryResult{}, err
}
for _, row := range rows {
mergeCounters(merged, bucketKey{
model: row.ModelName,
group: row.Group,
bucketTs: row.BucketTs,
}, counters{
requestCount: row.RequestCount,
successCount: row.SuccessCount,
totalLatencyMs: row.TotalLatencyMs,
ttftSumMs: row.TtftSumMs,
ttftCount: row.TtftCount,
})
}
hotBuckets.Range(func(key, value any) bool {
k := key.(bucketKey)
if k.model != params.Model || k.bucketTs < startTs || k.bucketTs > endTs {
return true
}
if params.Group != "" && k.group != params.Group {
return true
}
mergeCounters(merged, k, value.(*atomicBucket).snapshot())
return true
})
return buildQueryResult(params.Model, merged), nil
}
func bucketStart(ts int64) int64 {
bucketSeconds := perf_metrics_setting.GetBucketSeconds()
if bucketSeconds <= 0 {
bucketSeconds = 3600
}
return ts - (ts % bucketSeconds)
}
func mergeCounters(merged map[bucketKey]counters, key bucketKey, value counters) {
if value.requestCount == 0 {
return
}
current := merged[key]
current.requestCount += value.requestCount
current.successCount += value.successCount
current.totalLatencyMs += value.totalLatencyMs
current.ttftSumMs += value.ttftSumMs
current.ttftCount += value.ttftCount
merged[key] = current
}
func buildQueryResult(modelName string, merged map[bucketKey]counters) QueryResult {
groupBuckets := map[string]map[int64]counters{}
for key, value := range merged {
if value.requestCount == 0 {
continue
}
if _, ok := groupBuckets[key.group]; !ok {
groupBuckets[key.group] = map[int64]counters{}
}
groupBuckets[key.group][key.bucketTs] = value
}
groups := make([]string, 0, len(groupBuckets))
for group := range groupBuckets {
groups = append(groups, group)
}
sort.Strings(groups)
results := make([]GroupResult, 0, len(groups))
for _, group := range groups {
buckets := groupBuckets[group]
timestamps := make([]int64, 0, len(buckets))
for ts := range buckets {
timestamps = append(timestamps, ts)
}
sort.Slice(timestamps, func(i, j int) bool {
return timestamps[i] < timestamps[j]
})
total := counters{}
series := make([]BucketPoint, 0, len(timestamps))
for _, ts := range timestamps {
value := buckets[ts]
total.requestCount += value.requestCount
total.successCount += value.successCount
total.totalLatencyMs += value.totalLatencyMs
total.ttftSumMs += value.ttftSumMs
total.ttftCount += value.ttftCount
series = append(series, bucketPoint(ts, value))
}
results = append(results, GroupResult{
Group: group,
AvgTtftMs: avg(total.ttftSumMs, total.ttftCount),
AvgLatencyMs: avg(total.totalLatencyMs, total.requestCount),
SuccessRate: successRate(total),
RequestCount: total.requestCount,
SuccessCount: total.successCount,
TtftCount: total.ttftCount,
Series: series,
})
}
return QueryResult{
ModelName: modelName,
SeriesSchema: seriesSchema,
Groups: results,
}
}
func bucketPoint(ts int64, value counters) BucketPoint {
return BucketPoint{
Ts: ts,
AvgTtftMs: avg(value.ttftSumMs, value.ttftCount),
AvgLatencyMs: avg(value.totalLatencyMs, value.requestCount),
SuccessRate: successRate(value),
Count: value.requestCount,
SuccessCount: value.successCount,
TtftCount: value.ttftCount,
}
}
func avg(sum int64, count int64) int64 {
if count <= 0 {
return 0
}
return sum / count
}
func successRate(value counters) float64 {
if value.requestCount <= 0 {
return 0
}
return float64(value.successCount) / float64(value.requestCount) * 100
}
func recordRedis(key bucketKey, sample Sample) {
if !common.RedisEnabled || common.RDB == nil {
return
}
ctx, cancel := context.WithTimeout(context.Background(), time.Second)
defer cancel()
redisKey := redisBucketKey(key)
pipe := common.RDB.TxPipeline()
pipe.HIncrBy(ctx, redisKey, "req", 1)
if sample.Success {
pipe.HIncrBy(ctx, redisKey, "ok", 1)
}
if sample.LatencyMs > 0 {
pipe.HIncrBy(ctx, redisKey, "lat", sample.LatencyMs)
}
if sample.HasTtft && sample.TtftMs >= 0 {
pipe.HIncrBy(ctx, redisKey, "ttft", sample.TtftMs)
pipe.HIncrBy(ctx, redisKey, "ttft_n", 1)
}
pipe.Expire(ctx, redisKey, time.Hour)
_, _ = pipe.Exec(ctx)
}
func mergeRedisActiveBuckets(merged map[bucketKey]counters, params QueryParams, startTs int64, endTs int64) {
if !common.RedisEnabled || common.RDB == nil || params.Model == "" || params.Group == "" {
return
}
active := bucketStart(time.Now().Unix())
if active < startTs || active > endTs {
return
}
key := bucketKey{model: params.Model, group: params.Group, bucketTs: active}
ctx, cancel := context.WithTimeout(context.Background(), time.Second)
defer cancel()
values, err := common.RDB.HGetAll(ctx, redisBucketKey(key)).Result()
if err != nil || len(values) == 0 {
return
}
mergeCounters(merged, key, redisCounters(values))
}
func redisBucketKey(key bucketKey) string {
return fmt.Sprintf("perf:%s:%s:%d", key.model, key.group, key.bucketTs)
}
pkg/perf_metrics/types.go 0 → 100644
package perfmetrics
import "sync/atomic"
type Store interface {
Record(sample Sample)
Query(params QueryParams) (QueryResult, error)
}
type Sample struct {
Model string
Group string
LatencyMs int64
TtftMs int64
HasTtft bool
Success bool
}
type QueryParams struct {
Model string
Group string
Hours int
}
type BucketPoint struct {
Ts int64 `json:"ts"`
AvgTtftMs int64 `json:"avg_ttft_ms"`
AvgLatencyMs int64 `json:"avg_latency_ms"`
SuccessRate float64 `json:"success_rate"`
Count int64 `json:"count"`
SuccessCount int64 `json:"success_count"`
TtftCount int64 `json:"ttft_count"`
}
type GroupResult struct {
Group string `json:"group"`
AvgTtftMs int64 `json:"avg_ttft_ms"`
AvgLatencyMs int64 `json:"avg_latency_ms"`
SuccessRate float64 `json:"success_rate"`
RequestCount int64 `json:"request_count"`
SuccessCount int64 `json:"success_count"`
TtftCount int64 `json:"ttft_count"`
Series []BucketPoint `json:"series"`
}
type QueryResult struct {
ModelName string `json:"model_name"`
SeriesSchema string `json:"series_schema"`
Groups []GroupResult `json:"groups"`
}
type bucketKey struct {
model string
group string
bucketTs int64
}
type counters struct {
requestCount int64
successCount int64
totalLatencyMs int64
ttftSumMs int64
ttftCount int64
}
type atomicBucket struct {
requestCount atomic.Int64
successCount atomic.Int64
totalLatencyMs atomic.Int64
ttftSumMs atomic.Int64
ttftCount atomic.Int64
}
func (b *atomicBucket) add(sample Sample) {
b.requestCount.Add(1)
if sample.Success {
b.successCount.Add(1)
}
if sample.LatencyMs > 0 {
b.totalLatencyMs.Add(sample.LatencyMs)
}
if sample.HasTtft && sample.TtftMs >= 0 {
b.ttftSumMs.Add(sample.TtftMs)
b.ttftCount.Add(1)
}
}
func (b *atomicBucket) snapshot() counters {
return counters{
requestCount: b.requestCount.Load(),
successCount: b.successCount.Load(),
totalLatencyMs: b.totalLatencyMs.Load(),
ttftSumMs: b.ttftSumMs.Load(),
ttftCount: b.ttftCount.Load(),
}
}
func (b *atomicBucket) drain() counters {
return counters{
requestCount: b.requestCount.Swap(0),
successCount: b.successCount.Swap(0),
totalLatencyMs: b.totalLatencyMs.Swap(0),
ttftSumMs: b.ttftSumMs.Swap(0),
ttftCount: b.ttftCount.Swap(0),
}
}
func (b *atomicBucket) addCounters(c counters) {
if c.requestCount != 0 {
b.requestCount.Add(c.requestCount)
}
if c.successCount != 0 {
b.successCount.Add(c.successCount)
}
if c.totalLatencyMs != 0 {
b.totalLatencyMs.Add(c.totalLatencyMs)
}
if c.ttftSumMs != 0 {
b.ttftSumMs.Add(c.ttftSumMs)
}
if c.ttftCount != 0 {
b.ttftCount.Add(c.ttftCount)
}
}
router/api-router.go
......@@ -31,6 +31,7 @@ func SetApiRouter(router *gin.Engine) {
//apiRouter.GET("/midjourney", controller.GetMidjourney)
apiRouter.GET("/home_page_content", controller.GetHomePageContent)
apiRouter.GET("/pricing", middleware.TryUserAuth(), controller.GetPricing)
apiRouter.GET("/perf-metrics", middleware.TryUserAuth(), controller.GetPerfMetrics)
apiRouter.GET("/verification", middleware.EmailVerificationRateLimit(), middleware.TurnstileCheck(), controller.SendEmailVerification)
apiRouter.GET("/reset_password", middleware.CriticalRateLimit(), middleware.TurnstileCheck(), controller.SendPasswordResetEmail)
apiRouter.POST("/user/reset", middleware.CriticalRateLimit(), controller.ResetPassword)
......
service/quota.go
......@@ -14,6 +14,7 @@ import (
"github.com/QuantumNous/new-api/logger"
"github.com/QuantumNous/new-api/model"
"github.com/QuantumNous/new-api/pkg/billingexpr"
perfmetrics "github.com/QuantumNous/new-api/pkg/perf_metrics"
relaycommon "github.com/QuantumNous/new-api/relay/common"
"github.com/QuantumNous/new-api/setting/ratio_setting"
"github.com/QuantumNous/new-api/setting/system_setting"
......@@ -219,7 +220,7 @@ func PostWssConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, mod
// in this case, must be some error happened
// we cannot just return, because we may have to return the pre-consumed quota
quota = 0
logContent += fmt.Sprintf("（可能是上游超时）")
logContent += "（可能是上游超时）"
logger.LogError(ctx, fmt.Sprintf("total tokens is 0, cannot consume quota, userId %d, channelId %d, "+
"tokenId %d, model %s， pre-consumed quota %d", relayInfo.UserId, relayInfo.ChannelId, relayInfo.TokenId, modelName, relayInfo.FinalPreConsumedQuota))
} else {
......@@ -340,7 +341,7 @@ func PostAudioConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, u
// in this case, must be some error happened
// we cannot just return, because we may have to return the pre-consumed quota
quota = 0
logContent += fmt.Sprintf("（可能是上游超时）")
logContent += "（可能是上游超时）"
logger.LogError(ctx, fmt.Sprintf("total tokens is 0, cannot consume quota, userId %d, channelId %d, "+
"tokenId %d, model %s， pre-consumed quota %d", relayInfo.UserId, relayInfo.ChannelId, relayInfo.TokenId, relayInfo.OriginModelName, relayInfo.FinalPreConsumedQuota))
} else {
......@@ -375,6 +376,9 @@ func PostAudioConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, u
Group: relayInfo.UsingGroup,
Other: other,
})
gopool.Go(func() {
perfmetrics.RecordRelaySample(relayInfo, true)
})
}
func PreConsumeTokenQuota(relayInfo *relaycommon.RelayInfo, quota int) error {
......
service/text_quota.go
......@@ -11,10 +11,12 @@ import (
"github.com/QuantumNous/new-api/logger"
"github.com/QuantumNous/new-api/model"
"github.com/QuantumNous/new-api/pkg/billingexpr"
perfmetrics "github.com/QuantumNous/new-api/pkg/perf_metrics"
relaycommon "github.com/QuantumNous/new-api/relay/common"
"github.com/QuantumNous/new-api/setting/operation_setting"
"github.com/QuantumNous/new-api/types"
"github.com/bytedance/gopkg/util/gopool"
"github.com/gin-gonic/gin"
"github.com/shopspring/decimal"
)
......@@ -471,4 +473,7 @@ func PostTextConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, us
Group: relayInfo.UsingGroup,
Other: other,
})
gopool.Go(func() {
perfmetrics.RecordRelaySample(relayInfo, true)
})
}
setting/perf_metrics_setting/config.go 0 → 100644
package perf_metrics_setting
import "github.com/QuantumNous/new-api/setting/config"
type PerfMetricsSetting struct {
Enabled bool `json:"enabled"`
FlushInterval int `json:"flush_interval"`
BucketTime string `json:"bucket_time"`
RetentionDays int `json:"retention_days"`
}
var perfMetricsSetting = PerfMetricsSetting{
Enabled: true,
FlushInterval: 5,
BucketTime: "hour",
RetentionDays: 0,
}
func init() {
config.GlobalConfig.Register("perf_metrics_setting", &perfMetricsSetting)
}
func GetSetting() PerfMetricsSetting {
return perfMetricsSetting
}
func GetBucketSeconds() int64 {
switch perfMetricsSetting.BucketTime {
case "minute":
return 60
case "5min":
return 300
case "hour":
return 3600
default:
return 3600
}
}
func GetFlushIntervalMinutes() int {
if perfMetricsSetting.FlushInterval < 1 {
return 1
}
return perfMetricsSetting.FlushInterval
}
web/default/src/features/pricing/api.ts
......@@ -10,3 +10,46 @@ export async function getPricing(): Promise<PricingData> {
const res = await api.get('/api/pricing')
return res.data
}
export type PerformanceSeriesPoint = {
ts: number
avg_ttft_ms: number
avg_latency_ms: number
success_rate: number
count: number
success_count: number
ttft_count: number
}
export type PerformanceGroup = {
group: string
avg_ttft_ms: number
avg_latency_ms: number
success_rate: number
request_count: number
success_count: number
ttft_count: number
series: PerformanceSeriesPoint[]
}
export type PerformanceMetricsData = {
success: boolean
message?: string
data: {
model_name: string
series_schema?: string
groups: PerformanceGroup[]
}
}
export async function getPerfMetrics(
modelName: string,
hours = 24
): Promise<PerformanceMetricsData> {
const params = new URLSearchParams({
model: modelName,
hours: String(hours),
})
const res = await api.get(`/api/perf-metrics?${params.toString()}`)
return res.data
}
web/default/src/features/pricing/components/model-details-charts.tsx
......@@ -14,6 +14,13 @@ function formatHourLabel(iso: string): string {
function formatDayLabel(date: string): string {
const parsed = new Date(date)
if (date.includes('T')) {
return parsed.toLocaleString(undefined, {
month: 'short',
day: 'numeric',
hour: '2-digit',
})
}
return parsed.toLocaleDateString(undefined, {
month: 'short',
day: 'numeric',
......
web/default/src/features/pricing/components/model-details-performance.tsx
import { useMemo } from 'react'
import { useQuery } from '@tanstack/react-query'
import {
Activity,
AlertTriangle,
Gauge,
HeartPulse,
Timer,
TrendingUp,
......@@ -18,22 +18,14 @@ import {
TableRow,
} from '@/components/ui/table'
import { GroupBadge } from '@/components/group-badge'
import { getPerfMetrics, type PerformanceGroup } from '../api'
import {
aggregateUptime,
buildGroupPerformance,
buildLatencyTimeSeries,
buildUptimeSeries,
formatLatency,
formatThroughput,
formatUptimePct,
type UptimeDayPoint,
} from '../lib/mock-stats'
import type { PricingModel } from '../types'
import {
LatencyTrendChart,
ThroughputBarChart,
UptimeBarChart,
} from './model-details-charts'
import { LatencyTrendChart, UptimeBarChart } from './model-details-charts'
import { UptimeSparkline } from './model-details-uptime-sparkline'
const COMPACT_NUMBER = new Intl.NumberFormat(undefined, {
......@@ -74,33 +66,102 @@ function StatCard(props: {
)
}
type PerformanceRow = {
group: string
avg_ttft_ms: number
avg_latency_ms: number
success_rate: number
request_count: number
}
function toLatencySeries(groups: PerformanceGroup[]) {
return groups.flatMap((group) =>
group.series
.filter((point) => point.ttft_count > 0 && point.avg_ttft_ms > 0)
.map((point) => ({
timestamp: new Date(point.ts * 1000).toISOString(),
group: group.group,
ttft_ms: point.avg_ttft_ms,
}))
)
}
function toUptimeSeries(groups: PerformanceGroup[]): UptimeDayPoint[] {
const byTs = new Map<number, { count: number; success: number }>()
for (const group of groups) {
for (const point of group.series) {
const current = byTs.get(point.ts) ?? { count: 0, success: 0 }
current.count += point.count
current.success += point.success_count
byTs.set(point.ts, current)
}
}
return Array.from(byTs.entries())
.sort(([a], [b]) => a - b)
.map(([ts, value]) => {
const uptime = value.count > 0 ? (value.success / value.count) * 100 : 0
return {
date: new Date(ts * 1000).toISOString(),
uptime_pct: Math.round(uptime * 100) / 100,
incidents: value.success < value.count ? 1 : 0,
outage_minutes: 0,
}
})
}
function toGroupUptimeSeries(group: PerformanceGroup): UptimeDayPoint[] {
return group.series.map((point) => ({
date: new Date(point.ts * 1000).toISOString(),
uptime_pct: Math.round(point.success_rate * 100) / 100,
incidents: point.success_count < point.count ? 1 : 0,
outage_minutes: 0,
}))
}
function weightedAverage(
rows: PerformanceRow[],
field: 'avg_ttft_ms' | 'avg_latency_ms'
): number {
let total = 0
let count = 0
for (const row of rows) {
if (row[field] <= 0 || row.request_count <= 0) continue
total += row[field] * row.request_count
count += row.request_count
}
return count > 0 ? Math.round(total / count) : 0
}
export function ModelDetailsPerformance(props: { model: PricingModel }) {
const { t } = useTranslation()
const performances = useMemo(
() => buildGroupPerformance(props.model),
[props.model]
)
const latencySeries = useMemo(
() => buildLatencyTimeSeries(props.model),
[props.model]
)
const uptimeSeries = useMemo(
() => buildUptimeSeries(props.model),
[props.model]
)
const aggregated = useMemo(
() => aggregateUptime(uptimeSeries),
[uptimeSeries]
const metricsQuery = useQuery({
queryKey: ['perf-metrics', props.model.model_name],
queryFn: () => getPerfMetrics(props.model.model_name, 24),
staleTime: 60 * 1000,
})
const groups = metricsQuery.data?.data.groups ?? []
const performances = useMemo<PerformanceRow[]>(
() =>
groups.map((group) => ({
group: group.group,
avg_ttft_ms: group.avg_ttft_ms,
avg_latency_ms: group.avg_latency_ms,
success_rate: group.success_rate,
request_count: group.request_count,
})),
[groups]
)
const latencySeries = useMemo(() => toLatencySeries(groups), [groups])
const uptimeSeries = useMemo(() => toUptimeSeries(groups), [groups])
const uptimeByGroup = useMemo<Record<string, UptimeDayPoint[]>>(() => {
const map: Record<string, UptimeDayPoint[]> = {}
for (const perf of performances) {
map[perf.group] = buildUptimeSeries(props.model, perf.group)
for (const group of groups) {
map[group.group] = toGroupUptimeSeries(group)
}
return map
}, [performances, props.model])
}, [groups])
if (performances.length === 0) {
if (metricsQuery.isLoading || performances.length === 0) {
return (
<div className='text-muted-foreground rounded-lg border p-6 text-center text-sm'>
{t('Performance data is not yet available for this model.')}
......@@ -108,18 +169,22 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
)
}
const bestTtft = Math.min(...performances.map((p) => p.ttft_p50_ms))
const bestThroughput = Math.max(...performances.map((p) => p.throughput_tps))
const totalRequests = performances.reduce(
(s, p) => s + p.request_volume_24h,
0
)
const intent =
aggregated.uptime_pct >= 99.9
? 'success'
: aggregated.uptime_pct >= 99
? 'default'
: 'warning'
const ttftValues = performances
.map((p) => p.avg_ttft_ms)
.filter((value) => value > 0)
const bestTtft = ttftValues.length > 0 ? Math.min(...ttftValues) : 0
const avgLatency = weightedAverage(performances, 'avg_latency_ms')
const totalRequests = performances.reduce((s, p) => s + p.request_count, 0)
const totalSuccess = groups.reduce((s, p) => s + p.success_count, 0)
const successRate =
totalRequests > 0 ? (totalSuccess / totalRequests) * 100 : 0
const incidentCount = uptimeSeries.reduce((s, p) => s + p.incidents, 0)
let intent: 'default' | 'warning' | 'success' = 'warning'
if (successRate >= 99.9) {
intent = 'success'
} else if (successRate >= 99) {
intent = 'default'
}
const headerCellClass =
'text-muted-foreground py-2 text-[10px] font-medium tracking-wider uppercase'
......@@ -134,21 +199,21 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
hint={t('Lowest median first-token latency')}
/>
<StatCard
icon={Gauge}
label={t('Peak throughput')}
value={formatThroughput(bestThroughput)}
icon={Timer}
label={t('Average latency')}
value={formatLatency(avgLatency)}
hint={t('Across all groups')}
/>
<StatCard
icon={HeartPulse}
label={t('Uptime (30d)')}
value={formatUptimePct(aggregated.uptime_pct)}
label={t('Success rate')}
value={formatUptimePct(successRate)}
hint={
aggregated.incidents > 0
? t('{{count}} incidents in the last 30 days', {
count: aggregated.incidents,
incidentCount > 0
? t('{{count}} incidents in the last 24 hours', {
count: incidentCount,
})
: t('No incidents in the last 30 days')
: t('No incidents in the last 24 hours')
}
intent={intent}
/>
......@@ -164,9 +229,7 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
<SectionHeader
icon={Activity}
title={t('Per-group performance')}
description={t(
'TTFT percentiles, throughput, and 30-day uptime by group'
)}
description={t('Average latency, TTFT, and success rate by group')}
/>
<div className='overflow-x-auto rounded-lg border'>
<Table className='text-sm'>
......@@ -174,31 +237,24 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
<TableRow className='hover:bg-transparent'>
<TableHead className={headerCellClass}>{t('Group')}</TableHead>
<TableHead className={`${headerCellClass} text-right`}>
{t('TTFT P50')}
</TableHead>
<TableHead className={`${headerCellClass} text-right`}>
{t('TTFT P95')}
</TableHead>
<TableHead className={`${headerCellClass} text-right`}>
{t('TTFT P99')}
{t('Average TTFT')}
</TableHead>
<TableHead className={`${headerCellClass} text-right`}>
{t('Throughput')}
{t('Average latency')}
</TableHead>
<TableHead
className={`${headerCellClass} min-w-[160px] text-left`}
>
{t('Uptime (30d)')}
{t('Success rate')}
</TableHead>
<TableHead className={`${headerCellClass} text-right`}>
{t('Requests / 24h')}
{t('Request Count')}
</TableHead>
</TableRow>
</TableHeader>
<TableBody>
{performances.map((perf) => {
const isBestTtft = perf.ttft_p50_ms === bestTtft
const isBestTput = perf.throughput_tps === bestThroughput
const isBestTtft = perf.avg_ttft_ms === bestTtft
return (
<TableRow key={perf.group}>
<TableCell className='py-2.5'>
......@@ -210,23 +266,10 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
isBestTtft && 'text-emerald-600 dark:text-emerald-400'
)}
>
{formatLatency(perf.ttft_p50_ms)}
</TableCell>
<TableCell className='text-muted-foreground py-2.5 text-right font-mono'>
{formatLatency(perf.ttft_p95_ms)}
{formatLatency(perf.avg_ttft_ms)}
</TableCell>
<TableCell className='text-muted-foreground py-2.5 text-right font-mono'>
{formatLatency(perf.ttft_p99_ms)}
</TableCell>
<TableCell
className={cn(
'py-2.5 text-right font-mono',
isBestTput &&
perf.throughput_tps > 0 &&
'text-emerald-600 dark:text-emerald-400'
)}
>
{formatThroughput(perf.throughput_tps)}
{formatLatency(perf.avg_latency_ms)}
</TableCell>
<TableCell className='py-2.5'>
<UptimeSparkline
......@@ -235,7 +278,7 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
/>
</TableCell>
<TableCell className='text-muted-foreground py-2.5 text-right font-mono'>
{COMPACT_NUMBER.format(perf.request_volume_24h)}
{COMPACT_NUMBER.format(perf.request_count)}
</TableCell>
</TableRow>
)
......@@ -249,45 +292,31 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
<SectionHeader
icon={Timer}
title={t('Latency trend (last 24h)')}
description={t(
'Median time-to-first-token (TTFT) sampled hourly per group'
)}
description={t('Average time-to-first-token (TTFT) by group')}
/>
<LatencyTrendChart series={latencySeries} />
</section>
{bestThroughput > 0 && (
<section>
<SectionHeader
icon={Gauge}
title={t('Throughput by group')}
description={t('Average tokens per second sustained per group')}
/>
<ThroughputBarChart rows={performances} />
</section>
)}
<section>
<SectionHeader
icon={HeartPulse}
title={t('Uptime (last 30 days)')}
title={t('Availability (last 24h)')}
description={
aggregated.incidents > 0
incidentCount > 0
? t(
'Daily uptime; {{incidents}} incidents totalling {{minutes}} minutes',
'Request success rate; {{incidents}} incident buckets in the last 24 hours',
{
incidents: aggregated.incidents,
minutes: aggregated.outage_minutes,
incidents: incidentCount,
}
)
: t('Daily uptime over the last 30 days')
: t('Request success rate sampled over the last 24 hours')
}
accent={
aggregated.incidents > 0 ? (
incidentCount > 0 ? (
<span className='inline-flex items-center gap-1 text-amber-600 dark:text-amber-400'>
<AlertTriangle className='size-3.5' />
{t('{{count}} incidents', {
count: aggregated.incidents,
count: incidentCount,
})}
</span>
) : null
......@@ -295,12 +324,6 @@ export function ModelDetailsPerformance(props: { model: PricingModel }) {
/>
<UptimeBarChart series={uptimeSeries} />
</section>
<p className='text-muted-foreground/60 text-[11px] leading-relaxed'>
{t(
'Performance metrics shown here are simulated for preview purposes and will be replaced with live observability data once the backend integration is complete.'
)}
</p>
</div>
)
}
......
web/default/src/features/pricing/components/model-details.tsx
......@@ -41,7 +41,6 @@ import {
isDynamicPricingModel,
} from '../lib/dynamic-price'
import { parseTags } from '../lib/filters'
import { buildUptimeSeries } from '../lib/mock-stats'
import {
getAvailableGroups,
isTokenBasedModel,
......@@ -57,7 +56,6 @@ import { ModelDetailsCapabilities } from './model-details-capabilities'
import { ModalitiesMatrix } from './model-details-modalities'
import { ModelDetailsPerformance } from './model-details-performance'
import { ModelDetailsQuickStats } from './model-details-quick-stats'
import { UptimeStatusRow } from './model-details-uptime-sparkline'
// ----------------------------------------------------------------------------
// Local UI helpers
......@@ -782,10 +780,6 @@ export function ModelDetailsContent(props: ModelDetailsContentProps) {
const { t } = useTranslation()
const showRechargePrice = props.showRechargePrice ?? false
const metadata = useMemo(() => inferModelMetadata(props.model), [props.model])
const uptimeSeries = useMemo(
() => buildUptimeSeries(props.model),
[props.model]
)
const isDynamic =
props.model.billing_mode === 'tiered_expr' &&
......@@ -797,8 +791,6 @@ export function ModelDetailsContent(props: ModelDetailsContentProps) {
<ModelDetailsQuickStats metadata={metadata} />
<UptimeStatusRow series={uptimeSeries} />
<Tabs defaultValue='overview' className='gap-4'>
<TabsList className='bg-muted/60 h-auto w-full justify-start gap-1 overflow-x-auto rounded-lg p-1'>
{TAB_VALUES.map((value) => {
......
web/default/src/features/system-settings/maintenance/config.ts
......@@ -75,6 +75,10 @@ export const DEFAULT_MAINTENANCE_SETTINGS: MaintenanceSettings = {
'performance_setting.monitor_cpu_threshold': 90,
'performance_setting.monitor_memory_threshold': 90,
'performance_setting.monitor_disk_threshold': 95,
'perf_metrics_setting.enabled': true,
'perf_metrics_setting.flush_interval': 5,
'perf_metrics_setting.bucket_time': 'hour',
'perf_metrics_setting.retention_days': 0,
}
const toBoolean = (value: unknown, fallback: boolean): boolean => {
......
web/default/src/features/system-settings/maintenance/performance-section.tsx
......@@ -59,6 +59,10 @@ const perfSchema = z.object({
.number()
.min(0)
.max(100),
'perf_metrics_setting.enabled': z.boolean(),
'perf_metrics_setting.flush_interval': z.coerce.number().min(1),
'perf_metrics_setting.bucket_time': z.enum(['minute', '5min', 'hour']),
'perf_metrics_setting.retention_days': z.coerce.number().min(0),
})
type PerfFormValues = z.infer<typeof perfSchema>
......@@ -248,6 +252,7 @@ export function PerformanceSection(props: Props) {
const diskEnabled = form.watch('performance_setting.disk_cache_enabled')
const monitorEnabled = form.watch('performance_setting.monitor_enabled')
const perfMetricsEnabled = form.watch('perf_metrics_setting.enabled')
const maxCacheSizeMb = form.watch(
'performance_setting.disk_cache_max_size_mb'
)
......@@ -452,6 +457,97 @@ export function PerformanceSection(props: Props) {
/>
</div>
<Separator />
<div>
<h4 className='font-medium'>{t('Model performance metrics')}</h4>
<p className='text-muted-foreground mt-1 text-xs'>
{t(
'Collect relay latency and success-rate metrics for the model square.'
)}
</p>
</div>
<div className='grid grid-cols-1 gap-4 md:grid-cols-4'>
<FormField
control={form.control}
name='perf_metrics_setting.enabled'
render={({ field }) => (
<FormItem className='flex items-center gap-2'>
<FormControl>
<Switch
checked={field.value}
onCheckedChange={field.onChange}
/>
</FormControl>
<FormLabel>{t('Enable model performance metrics')}</FormLabel>
</FormItem>
)}
/>
<FormField
control={form.control}
name='perf_metrics_setting.flush_interval'
render={({ field }) => (
<FormItem>
<FormLabel>{t('Flush interval (minutes)')}</FormLabel>
<FormControl>
<Input
type='number'
min={1}
{...field}
disabled={!perfMetricsEnabled}
/>
</FormControl>
</FormItem>
)}
/>
<FormField
control={form.control}
name='perf_metrics_setting.bucket_time'
render={({ field }) => (
<FormItem>
<FormLabel>{t('Aggregation bucket')}</FormLabel>
<Select
value={field.value}
onValueChange={field.onChange}
disabled={!perfMetricsEnabled}
>
<FormControl>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
</FormControl>
<SelectContent>
<SelectItem value='minute'>{t('1 minute')}</SelectItem>
<SelectItem value='5min'>{t('5 minutes')}</SelectItem>
<SelectItem value='hour'>{t('1 hour')}</SelectItem>
</SelectContent>
</Select>
</FormItem>
)}
/>
<FormField
control={form.control}
name='perf_metrics_setting.retention_days'
render={({ field }) => (
<FormItem>
<FormLabel>{t('Retention days')}</FormLabel>
<FormControl>
<Input
type='number'
min={0}
{...field}
disabled={!perfMetricsEnabled}
/>
</FormControl>
<FormDescription>
{t('0 means data is kept permanently')}
</FormDescription>
</FormItem>
)}
/>
</div>
<Button type='submit' disabled={updateOption.isPending}>
{updateOption.isPending ? t('Saving...') : t('Save Changes')}
</Button>
......
web/default/src/features/system-settings/maintenance/section-registry.tsx
......@@ -102,6 +102,14 @@ const MAINTENANCE_SECTIONS = [
settings['performance_setting.monitor_memory_threshold'] ?? 90,
'performance_setting.monitor_disk_threshold':
settings['performance_setting.monitor_disk_threshold'] ?? 95,
'perf_metrics_setting.enabled':
settings['perf_metrics_setting.enabled'] ?? true,
'perf_metrics_setting.flush_interval':
settings['perf_metrics_setting.flush_interval'] ?? 5,
'perf_metrics_setting.bucket_time':
settings['perf_metrics_setting.bucket_time'] ?? 'hour',
'perf_metrics_setting.retention_days':
settings['perf_metrics_setting.retention_days'] ?? 0,
}}
/>
),
......
web/default/src/features/system-settings/types.ts
......@@ -254,6 +254,10 @@ export type MaintenanceSettings = {
'performance_setting.monitor_cpu_threshold': number
'performance_setting.monitor_memory_threshold': number
'performance_setting.monitor_disk_threshold': number
'perf_metrics_setting.enabled': boolean
'perf_metrics_setting.flush_interval': number
'perf_metrics_setting.bucket_time': 'hour' | 'minute' | '5min'
'perf_metrics_setting.retention_days': number
}
export type RequestLimitsSettings = {
......
web/default/src/i18n/locales/en.json
......@@ -29,6 +29,7 @@
"{{count}} disabled channel(s) deleted": "{{count}} disabled channel(s) deleted",
"{{count}} hours ago": "{{count}} hours ago",
"{{count}} incidents": "{{count}} incidents",
"{{count}} incidents in the last 24 hours": "{{count}} incidents in the last 24 hours",
"{{count}} incidents in the last 30 days": "{{count}} incidents in the last 30 days",
"{{count}} IP(s)": "{{count}} IP(s)",
"{{count}} log entries removed.": "{{count}} log entries removed.",
......@@ -59,11 +60,14 @@
"© 2025 Your Company. All rights reserved.": "© 2025 Your Company. All rights reserved.",
"+{{count}} more": "+{{count}} more",
"| Based on": "| Based on",
"0 means data is kept permanently": "0 means data is kept permanently",
"0 means unlimited": "0 means unlimited",
"1 Day": "1 Day",
"1 day ago": "1 day ago",
"1 hour": "1 hour",
"1 Hour": "1H",
"1 hour ago": "1 hour ago",
"1 minute": "1 minute",
"1 minute ago": "1 minute ago",
"1 Month": "1M",
"1 month ago": "1 month ago",
......@@ -86,6 +90,7 @@
"30 Days": "30 Days",
"30 days ago": "30 days ago",
"30d change": "30d change",
"5 minutes": "5 minutes",
"5-Hour Window": "5-Hour Window",
"50 / page": "50 / page",
"7 Days": "7 Days",
......@@ -218,6 +223,7 @@
"Aggregated traffic by upstream model provider": "Aggregated traffic by upstream model provider",
"Aggregated usage metrics and trend charts.": "Aggregated usage metrics and trend charts.",
"aggregates 50+ AI providers behind one unified API. Manage access, track costs, and scale effortlessly.": "aggregates 50+ AI providers behind one unified API. Manage access, track costs, and scale effortlessly.",
"Aggregation bucket": "Aggregation bucket",
"AGPL v3.0 License": "AGPL v3.0 License",
"AI model testing environment": "AI model testing environment",
"AI models": "AI models",
......@@ -423,13 +429,18 @@
"Automatically selects the best available group with circuit breaker mechanism": "Automatically selects the best available group with circuit breaker mechanism",
"Automatically sync model list when upstream changes are detected": "Automatically sync model list when upstream changes are detected",
"Automatically test channels and notify users when limits are hit": "Automatically test channels and notify users when limits are hit",
"Availability (last 24h)": "Availability (last 24h)",
"Available": "Available",
"Available disk space": "Available disk space",
"Available Models": "Available Models",
"Available Rewards": "Available Rewards",
"Average latency": "Average latency",
"Average latency, TTFT, and success rate by group": "Average latency, TTFT, and success rate by group",
"Average RPM": "Average RPM",
"Average time-to-first-token (TTFT) by group": "Average time-to-first-token (TTFT) by group",
"Average tokens per second sustained per group": "Average tokens per second sustained per group",
"Average TPM": "Average TPM",
"Average TTFT": "Average TTFT",
"AWS": "AWS",
"AWS Bedrock Claude Compat": "AWS Bedrock Claude Compat",
"AWS Key Format": "AWS Key Format",
......@@ -710,6 +721,7 @@
"Cohere": "Cohere",
"Collapse": "Collapse",
"Collapse All": "Collapse All",
"Collect relay latency and success-rate metrics for the model square.": "Collect relay latency and success-rate metrics for the model square.",
"Color": "Color",
"Color is required": "Color is required",
"Color preset": "Color preset",
......@@ -1294,6 +1306,7 @@
"Enable io.net deployments": "Enable io.net deployments",
"Enable io.net model deployment service in console": "Enable io.net model deployment service in console",
"Enable LinuxDO OAuth": "Enable LinuxDO OAuth",
"Enable model performance metrics": "Enable model performance metrics",
"Enable OIDC": "Enable OIDC",
"Enable or disable this channel": "Enable or disable this channel",
"Enable or disable this model": "Enable or disable this model",
......@@ -1659,6 +1672,7 @@
"Fixed price (USD)": "Fixed price (USD)",
"Floating": "Floating",
"FluentRead extension not detected. Please ensure it is installed and active.": "FluentRead extension not detected. Please ensure it is installed and active.",
"Flush interval (minutes)": "Flush interval (minutes)",
"Follow the guided steps to prepare your workspace before the first login.": "Follow the guided steps to prepare your workspace before the first login.",
"Footer": "Footer",
"Footer text displayed at the bottom of pages": "Footer text displayed at the bottom of pages",
......@@ -2221,6 +2235,7 @@
"Model name is required": "Model name is required",
"Model names copied to clipboard": "Model names copied to clipboard",
"Model not found": "Model not found",
"Model performance metrics": "Model performance metrics",
"Model Price": "Model Price",
"Model Price Not Configured": "Model Price Not Configured",
"Model Pricing": "Model Pricing",
......@@ -2396,6 +2411,7 @@
"No groups match your search": "No groups match your search",
"No header overrides configured.": "No header overrides configured.",
"No history data available": "No history data available",
"No incidents in the last 24 hours": "No incidents in the last 24 hours",
"No incidents in the last 30 days": "No incidents in the last 30 days",
"No Inviter": "No Inviter",
"No keys found": "No keys found",
......@@ -3106,6 +3122,8 @@
"Request Model:": "Request Model:",
"Request overrides, routing behavior, and upstream model automation": "Request overrides, routing behavior, and upstream model automation",
"Request rule pricing": "Request rule pricing",
"Request success rate sampled over the last 24 hours": "Request success rate sampled over the last 24 hours",
"Request success rate; {{incidents}} incident buckets in the last 24 hours": "Request success rate; {{incidents}} incident buckets in the last 24 hours",
"Request timed out, please refresh and restart GitHub login": "Request timed out, please refresh and restart GitHub login",
"Request-based": "Request-based",
"Requests (24h)": "Requests (24h)",
......@@ -3154,6 +3172,7 @@
"Restrict user model request frequency (may impact high concurrency performance)": "Restrict user model request frequency (may impact high concurrency performance)",
"Retain last N days": "Retain last N days",
"Retain last N files": "Retain last N files",
"Retention days": "Retention days",
"Retry": "Retry",
"Retry Chain": "Retry Chain",
"Retry Suggestion": "Retry Suggestion",
......@@ -3527,6 +3546,7 @@
"Subscription Plans": "Subscription Plans",
"Subtract": "Subtract",
"Success": "Success",
"Success rate": "Success rate",
"Successfully created {{count}} API Key(s)": "Successfully created {{count}} API Key(s)",
"Successfully created {{count}} redemption codes": "Successfully created {{count}} redemption codes",
"Successfully deleted {{count}} API key(s)": "Successfully deleted {{count}} API key(s)",
......
web/default/src/i18n/locales/fr.json
......@@ -29,6 +29,7 @@
"{{count}} disabled channel(s) deleted": "{{count}} canal(canaux) désactivé(s) supprimé(s)",
"{{count}} hours ago": "il y a {{count}} heures",
"{{count}} incidents": "{{count}} incidents",
"{{count}} incidents in the last 24 hours": "{{count}} incidents au cours des dernières 24 heures",
"{{count}} incidents in the last 30 days": "{{count}} incidents au cours des 30 derniers jours",
"{{count}} IP(s)": "{{count}} IP",
"{{count}} log entries removed.": "{{count}} entrées de journal supprimées.",
......@@ -59,11 +60,14 @@
"© 2025 Your Company. All rights reserved.": "© 2025 Votre entreprise. Tous droits réservés.",
"+{{count}} more": "+{{count}} de plus",
"| Based on": "| Basé sur",
"0 means data is kept permanently": "0 signifie que les données sont conservées indéfiniment",
"0 means unlimited": "0 signifie illimité",
"1 Day": "1 jour",
"1 day ago": "Il y a 1 jour",
"1 hour": "1 heure",
"1 Hour": "1H",
"1 hour ago": "Il y a 1 heure",
"1 minute": "1 minute",
"1 minute ago": "Il y a 1 minute",
"1 Month": "1M",
"1 month ago": "Il y a 1 mois",
......@@ -86,6 +90,7 @@
"30 Days": "30 jours",
"30 days ago": "Il y a 30 jours",
"30d change": "Variation 30 j",
"5 minutes": "5 minutes",
"5-Hour Window": "Fenêtre de 5 heures",
"50 / page": "50 / page",
"7 Days": "7 jours",
......@@ -218,6 +223,7 @@
"Aggregated traffic by upstream model provider": "Trafic agrégé par fournisseur de modèle amont",
"Aggregated usage metrics and trend charts.": "Métriques d'utilisation agrégées et graphiques de tendances.",
"aggregates 50+ AI providers behind one unified API. Manage access, track costs, and scale effortlessly.": "agrège plus de 50 fournisseurs IA derrière une API unifiée. Gérez l'accès, suivez les coûts et évoluez sans effort.",
"Aggregation bucket": "Fenêtre d’agrégation",
"AGPL v3.0 License": "Licence AGPL v3.0",
"AI model testing environment": "Environnement de test de modèle IA",
"AI models": "Modèles d'IA",
......@@ -423,13 +429,18 @@
"Automatically selects the best available group with circuit breaker mechanism": "Sélectionne automatiquement le meilleur groupe disponible avec un mécanisme de disjoncteur de circuit",
"Automatically sync model list when upstream changes are detected": "Synchroniser automatiquement la liste des modèles lorsque des changements en amont sont détectés",
"Automatically test channels and notify users when limits are hit": "Tester automatiquement les canaux et notifier les utilisateurs lorsque les limites sont atteintes",
"Availability (last 24h)": "Disponibilité (dernières 24 h)",
"Available": "Disponible",
"Available disk space": "Espace disque disponible",
"Available Models": "Modèles disponibles",
"Available Rewards": "Récompenses disponibles",
"Average latency": "Latence moyenne",
"Average latency, TTFT, and success rate by group": "Latence moyenne, TTFT et taux de réussite par groupe",
"Average RPM": "RPM moyen",
"Average time-to-first-token (TTFT) by group": "Temps moyen jusqu’au premier token (TTFT) par groupe",
"Average tokens per second sustained per group": "Tokens par seconde soutenus en moyenne par groupe",
"Average TPM": "TPM moyen",
"Average TTFT": "TTFT moyen",
"AWS": "AWS",
"AWS Bedrock Claude Compat": "AWS Bedrock Claude Compat",
"AWS Key Format": "Format de clé AWS",
......@@ -710,6 +721,7 @@
"Cohere": "Cohere",
"Collapse": "Réduire",
"Collapse All": "Tout réduire",
"Collect relay latency and success-rate metrics for the model square.": "Collecte les métriques de latence Relay et de taux de réussite pour la place des modèles.",
"Color": "Couleur",
"Color is required": "La couleur est requise",
"Color preset": "Préréglage de couleur",
......@@ -1294,6 +1306,7 @@
"Enable io.net deployments": "Activer les déploiements io.net",
"Enable io.net model deployment service in console": "Activer le service de déploiement de modèles io.net dans la console",
"Enable LinuxDO OAuth": "Activer LinuxDO OAuth",
"Enable model performance metrics": "Activer les indicateurs de performance des modèles",
"Enable OIDC": "Activer OIDC",
"Enable or disable this channel": "Activer ou désactiver ce canal",
"Enable or disable this model": "Activer ou désactiver ce modèle",
......@@ -1659,6 +1672,7 @@
"Fixed price (USD)": "Prix fixe (USD)",
"Floating": "Flottant",
"FluentRead extension not detected. Please ensure it is installed and active.": "Extension FluentRead non détectée. Veuillez vous assurer qu'elle est installée et activée.",
"Flush interval (minutes)": "Intervalle d’écriture (minutes)",
"Follow the guided steps to prepare your workspace before the first login.": "Suivez les étapes guidées pour préparer votre espace de travail avant la première connexion.",
"Footer": "Pied de page",
"Footer text displayed at the bottom of pages": "Texte de pied de page affiché en bas des pages",
......@@ -2221,6 +2235,7 @@
"Model name is required": "Le nom du modèle est requis",
"Model names copied to clipboard": "Noms des modèles copiés dans le presse-papiers",
"Model not found": "Modèle introuvable",
"Model performance metrics": "Indicateurs de performance des modèles",
"Model Price": "Prix du modèle",
"Model Price Not Configured": "Prix du modèle non configuré",
"Model Pricing": "Tarification des modèles",
......@@ -2396,6 +2411,7 @@
"No groups match your search": "Aucun groupe ne correspond à votre recherche",
"No header overrides configured.": "Aucune surcharge d'en-têtes configurée.",
"No history data available": "Aucune donnée historique disponible",
"No incidents in the last 24 hours": "Aucun incident au cours des dernières 24 heures",
"No incidents in the last 30 days": "Aucun incident sur les 30 derniers jours",
"No Inviter": "Pas d'inviteur",
"No keys found": "Aucune clé trouvée",
......@@ -3106,6 +3122,8 @@
"Request Model:": "Modèle demandé :",
"Request overrides, routing behavior, and upstream model automation": "Surcharges de requête, comportement de routage et automatisation des modèles amont",
"Request rule pricing": "Règles de tarification de requête",
"Request success rate sampled over the last 24 hours": "Taux de réussite des requêtes échantillonné sur les dernières 24 heures",
"Request success rate; {{incidents}} incident buckets in the last 24 hours": "Taux de réussite des requêtes ; {{incidents}} créneaux avec incident sur les dernières 24 heures",
"Request timed out, please refresh and restart GitHub login": "Délai dépassé, veuillez actualiser la page puis relancer la connexion GitHub",
"Request-based": "Selon la requête",
"Requests (24h)": "Requêtes (24 h)",
......@@ -3154,6 +3172,7 @@
"Restrict user model request frequency (may impact high concurrency performance)": "Restreindre la fréquence des requêtes du modèle utilisateur (peut impacter les performances en cas de forte concurrence)",
"Retain last N days": "Conserver les N derniers jours",
"Retain last N files": "Conserver les N derniers fichiers",
"Retention days": "Jours de rétention",
"Retry": "Réessayer",
"Retry Chain": "Chaîne de tentatives",
"Retry Suggestion": "Suggestion de relance",
......@@ -3527,6 +3546,7 @@
"Subscription Plans": "Plans d'abonnement",
"Subtract": "Soustraire",
"Success": "Succès",
"Success rate": "Taux de réussite",
"Successfully created {{count}} API Key(s)": "{{count}} clé(s) API créée(s) avec succès",
"Successfully created {{count}} redemption codes": "{{count}} codes de réduction créés avec succès",
"Successfully deleted {{count}} API key(s)": "{{count}} clé(s) API supprimée(s) avec succès",
......
web/default/src/i18n/locales/ja.json
......@@ -29,6 +29,7 @@
"{{count}} disabled channel(s) deleted": "{{count}} 個の無効チャネルを削除しました",
"{{count}} hours ago": "{{count}} 時間前",
"{{count}} incidents": "{{count}} 件のインシデント",
"{{count}} incidents in the last 24 hours": "過去 24 時間に {{count}} 件のインシデント",
"{{count}} incidents in the last 30 days": "過去 30 日間で {{count}} 件のインシデント",
"{{count}} IP(s)": "{{count}} IP",
"{{count}} log entries removed.": "{{count}} 件のログエントリを削除しました。",
......@@ -59,11 +60,14 @@
"© 2025 Your Company. All rights reserved.": "© 2025 Your Company. 全著作権所有。",
"+{{count}} more": "他 {{count}} 件",
"| Based on": "| に基づく",
"0 means data is kept permanently": "0 はデータを永続的に保持することを意味します",
"0 means unlimited": "0は無制限を意味します",
"1 Day": "1日",
"1 day ago": "1日前",
"1 hour": "1 時間",
"1 Hour": "1時間",
"1 hour ago": "1時間前",
"1 minute": "1 分",
"1 minute ago": "1分前",
"1 Month": "1ヶ月",
"1 month ago": "1ヶ月前",
......@@ -86,6 +90,7 @@
"30 Days": "30日",
"30 days ago": "30日前",
"30d change": "30日変化",
"5 minutes": "5 分",
"5-Hour Window": "5時間ウィンドウ",
"50 / page": "50 / ページ",
"7 Days": "7日",
......@@ -218,6 +223,7 @@
"Aggregated traffic by upstream model provider": "上流モデルプロバイダー別の集計トラフィック",
"Aggregated usage metrics and trend charts.": "集計された使用量メトリクスとトレンドチャート。",
"aggregates 50+ AI providers behind one unified API. Manage access, track costs, and scale effortlessly.": "50以上のAIプロバイダーを統一APIで集約。アクセス管理、コスト追跡、スケーリングを簡単に。",
"Aggregation bucket": "集計バケット",
"AGPL v3.0 License": "AGPL v3.0ライセンス",
"AI model testing environment": "AIモデルテスト環境",
"AI models": "AIモデル",
......@@ -423,13 +429,18 @@
"Automatically selects the best available group with circuit breaker mechanism": "回路ブレーカーメカニズム付きで最適な利用可能なグループを自動的に選択",
"Automatically sync model list when upstream changes are detected": "アップストリームの変更が検出されたときにモデルリストを自動的に同期",
"Automatically test channels and notify users when limits are hit": "チャネルを自動的にテストし、制限に達したときにユーザーに通知する",
"Availability (last 24h)": "可用性（過去 24 時間）",
"Available": "空き",
"Available disk space": "利用可能なディスク容量",
"Available Models": "利用可能なモデル",
"Available Rewards": "利用可能な報酬",
"Average latency": "平均レイテンシ",
"Average latency, TTFT, and success rate by group": "グループ別の平均レイテンシ、TTFT、成功率",
"Average RPM": "平均RPM",
"Average time-to-first-token (TTFT) by group": "グループ別の平均 Time to First Token（TTFT）",
"Average tokens per second sustained per group": "グループごとに持続する平均スループット (tokens/秒)",
"Average TPM": "平均TPM",
"Average TTFT": "平均 TTFT",
"AWS": "AWS",
"AWS Bedrock Claude Compat": "AWS Bedrock Claude 互換テンプレート",
"AWS Key Format": "AWSキーフォーマット",
......@@ -710,6 +721,7 @@
"Cohere": "Cohere",
"Collapse": "折りたたむ",
"Collapse All": "すべて折りたたむ",
"Collect relay latency and success-rate metrics for the model square.": "モデル広場向けに Relay のレイテンシと成功率メトリクスを収集します。",
"Color": "カラー",
"Color is required": "色は必須です",
"Color preset": "カラープリセット",
......@@ -1294,6 +1306,7 @@
"Enable io.net deployments": "io.net デプロイを有効化",
"Enable io.net model deployment service in console": "コンソールで io.net モデルデプロイサービスを有効化",
"Enable LinuxDO OAuth": "LinuxDO OAuthを有効にする",
"Enable model performance metrics": "モデル性能メトリクスを有効化",
"Enable OIDC": "OIDCを有効にする",
"Enable or disable this channel": "このチャネルを有効または無効にする",
"Enable or disable this model": "このモデルを有効または無効にする",
......@@ -1659,6 +1672,7 @@
"Fixed price (USD)": "固定価格 (USD)",
"Floating": "フローティング",
"FluentRead extension not detected. Please ensure it is installed and active.": "FluentRead 拡張機能が検出されませんでした。インストールされていて有効になっていることを確認してください。",
"Flush interval (minutes)": "書き込み間隔（分）",
"Follow the guided steps to prepare your workspace before the first login.": "初回ログイン前に、ガイド付きの手順に従ってワークスペースを準備してください。",
"Footer": "フッター",
"Footer text displayed at the bottom of pages": "ページ下部に表示されるフッターテキスト",
......@@ -2221,6 +2235,7 @@
"Model name is required": "モデル名は必須です",
"Model names copied to clipboard": "モデル名がクリップボードにコピーされました",
"Model not found": "モデルが見つかりません",
"Model performance metrics": "モデル性能メトリクス",
"Model Price": "モデル価格",
"Model Price Not Configured": "モデル価格が未設定",
"Model Pricing": "モデル料金",
......@@ -2396,6 +2411,7 @@
"No groups match your search": "検索に一致するグループがありません",
"No header overrides configured.": "ヘッダーのオーバーライドが設定されていません。",
"No history data available": "履歴データがありません",
"No incidents in the last 24 hours": "過去 24 時間にインシデントはありません",
"No incidents in the last 30 days": "過去 30 日間でインシデントはありません",
"No Inviter": "招待者なし",
"No keys found": "キーが見つかりません",
......@@ -3106,6 +3122,8 @@
"Request Model:": "リクエストモデル：",
"Request overrides, routing behavior, and upstream model automation": "リクエスト上書き、ルーティング動作、上流モデル自動化",
"Request rule pricing": "リクエストルールの課金",
"Request success rate sampled over the last 24 hours": "過去 24 時間にサンプリングされたリクエスト成功率",
"Request success rate; {{incidents}} incident buckets in the last 24 hours": "リクエスト成功率；過去 24 時間に {{incidents}} 個のインシデント時間枠",
"Request timed out, please refresh and restart GitHub login": "タイムアウトしました。ページをリロードして GitHub ログインをやり直してください",
"Request-based": "リクエスト条件あり",
"Requests (24h)": "リクエスト (24h)",
......@@ -3154,6 +3172,7 @@
"Restrict user model request frequency (may impact high concurrency performance)": "ユーザーモデルのリクエスト頻度を制限する（高並行性パフォーマンスに影響を与える可能性があります）",
"Retain last N days": "最新N日間を保持",
"Retain last N files": "最新N個のファイルを保持",
"Retention days": "保持日数",
"Retry": "再試行",
"Retry Chain": "リトライチェーン",
"Retry Suggestion": "リトライ提案",
......@@ -3527,6 +3546,7 @@
"Subscription Plans": "サブスクリプションプラン",
"Subtract": "減算",
"Success": "成功",
"Success rate": "成功率",
"Successfully created {{count}} API Key(s)": "{{count}}個のAPIキーが正常に作成されました",
"Successfully created {{count}} redemption codes": "{{count}}件の引き換えコードが正常に作成されました",
"Successfully deleted {{count}} API key(s)": "{{count}}個のAPIキーが正常に削除されました",
......
web/default/src/i18n/locales/ru.json
......@@ -29,6 +29,7 @@
"{{count}} disabled channel(s) deleted": "Удалено {{count}} отключённых каналов",
"{{count}} hours ago": "{{count}} часов назад",
"{{count}} incidents": "{{count}} инцидентов",
"{{count}} incidents in the last 24 hours": "{{count}} инцидентов за последние 24 часа",
"{{count}} incidents in the last 30 days": "{{count}} инцидентов за последние 30 дней",
"{{count}} IP(s)": "{{count}} IP",
"{{count}} log entries removed.": "Удалено {{count}} записей журнала.",
......@@ -59,11 +60,14 @@
"© 2025 Your Company. All rights reserved.": "© 2025 Ваша Компания. Все права защищены.",
"+{{count}} more": "ещё {{count}}",
"| Based on": "| На основе",
"0 means data is kept permanently": "0 означает, что данные хранятся постоянно",
"0 means unlimited": "0 означает без ограничений",
"1 Day": "1 день",
"1 day ago": "1 день назад",
"1 hour": "1 час",
"1 Hour": "1 ч.",
"1 hour ago": "1 час назад",
"1 minute": "1 минута",
"1 minute ago": "1 минуту назад",
"1 Month": "1 мес.",
"1 month ago": "1 месяц назад",
......@@ -86,6 +90,7 @@
"30 Days": "30 дней",
"30 days ago": "30 дней назад",
"30d change": "Изменение за 30 дней",
"5 minutes": "5 минут",
"5-Hour Window": "5-часовое окно",
"50 / page": "50 / страница",
"7 Days": "7 дней",
......@@ -218,6 +223,7 @@
"Aggregated traffic by upstream model provider": "Агрегированный трафик по поставщикам моделей",
"Aggregated usage metrics and trend charts.": "Агрегированные метрики использования и графики трендов.",
"aggregates 50+ AI providers behind one unified API. Manage access, track costs, and scale effortlessly.": "объединяет 50+ ИИ-провайдеров за единым API. Управляйте доступом, отслеживайте затраты и масштабируйтесь без усилий.",
"Aggregation bucket": "Интервал агрегации",
"AGPL v3.0 License": "Лицензия AGPL v3.0",
"AI model testing environment": "Среда тестирования ИИ моделей",
"AI models": "Модели ИИ",
......@@ -423,13 +429,18 @@
"Automatically selects the best available group with circuit breaker mechanism": "Автоматически выбирает лучшую доступную группу с механизмом circuit breaker",
"Automatically sync model list when upstream changes are detected": "Автоматически синхронизировать список моделей при обнаружении изменений у провайдера",
"Automatically test channels and notify users when limits are hit": "Автоматически тестировать каналы и уведомлять пользователей при достижении лимитов",
"Availability (last 24h)": "Доступность (последние 24 ч)",
"Available": "Доступно",
"Available disk space": "Доступное дисковое пространство",
"Available Models": "Доступные модели",
"Available Rewards": "Доступные награды",
"Average latency": "Средняя задержка",
"Average latency, TTFT, and success rate by group": "Средняя задержка, TTFT и доля успешных запросов по группам",
"Average RPM": "Среднее число оборотов в минуту",
"Average time-to-first-token (TTFT) by group": "Среднее время до первого токена (TTFT) по группам",
"Average tokens per second sustained per group": "Средняя устойчивая пропускная способность (токенов/с) по группам",
"Average TPM": "Среднее число транзакций в минуту",
"Average TTFT": "Средний TTFT",
"AWS": "AWS",
"AWS Bedrock Claude Compat": "AWS Bedrock Claude совместимость",
"AWS Key Format": "Формат ключа AWS",
......@@ -710,6 +721,7 @@
"Cohere": "Cohere",
"Collapse": "Свернуть",
"Collapse All": "Свернуть все",
"Collect relay latency and success-rate metrics for the model square.": "Собирает метрики задержки Relay и доли успешных запросов для витрины моделей.",
"Color": "Цвет",
"Color is required": "Цвет обязателен",
"Color preset": "Цветовая предустановка",
......@@ -1294,6 +1306,7 @@
"Enable io.net deployments": "Включить развертывания io.net",
"Enable io.net model deployment service in console": "Включить сервис развертывания моделей io.net в консоли",
"Enable LinuxDO OAuth": "Включить LinuxDO OAuth",
"Enable model performance metrics": "Включить метрики производительности моделей",
"Enable OIDC": "Включить OIDC",
"Enable or disable this channel": "Включить или отключить этот канал",
"Enable or disable this model": "Включить или отключить эту модель",
......@@ -1659,6 +1672,7 @@
"Fixed price (USD)": "Фиксированная цена (USD)",
"Floating": "Плавающая",
"FluentRead extension not detected. Please ensure it is installed and active.": "Расширение FluentRead не обнаружено. Убедитесь, что оно установлено и активно.",
"Flush interval (minutes)": "Интервал записи (минуты)",
"Follow the guided steps to prepare your workspace before the first login.": "Следуйте пошаговым инструкциям, чтобы подготовить рабочее пространство перед первым входом.",
"Footer": "Подвал",
"Footer text displayed at the bottom of pages": "Текст нижнего колонтитула, отображаемый внизу страниц",
......@@ -2221,6 +2235,7 @@
"Model name is required": "Название модели обязательно",
"Model names copied to clipboard": "Названия моделей скопированы в буфер обмена",
"Model not found": "Модель не найдена",
"Model performance metrics": "Метрики производительности моделей",
"Model Price": "Цена модели",
"Model Price Not Configured": "Цена модели не настроена",
"Model Pricing": "Цены на модели",
......@@ -2396,6 +2411,7 @@
"No groups match your search": "Нет групп, соответствующих вашему поиску",
"No header overrides configured.": "Нет настроенных переопределений заголовков.",
"No history data available": "Исторические данные недоступны",
"No incidents in the last 24 hours": "За последние 24 часа инцидентов не было",
"No incidents in the last 30 days": "За последние 30 дней инцидентов не было",
"No Inviter": "Нет пригласившего",
"No keys found": "Ключи не найдены",
......@@ -3106,6 +3122,8 @@
"Request Model:": "Модель запроса:",
"Request overrides, routing behavior, and upstream model automation": "Переопределения запросов, маршрутизация и автоматизация upstream-моделей",
"Request rule pricing": "Правила ценообразования по запросу",
"Request success rate sampled over the last 24 hours": "Доля успешных запросов по выборкам за последние 24 часа",
"Request success rate; {{incidents}} incident buckets in the last 24 hours": "Доля успешных запросов; {{incidents}} интервалов с инцидентами за последние 24 часа",
"Request timed out, please refresh and restart GitHub login": "Время ожидания истекло, обновите страницу и снова запустите вход через GitHub",
"Request-based": "Зависит от запроса",
"Requests (24h)": "Запросы (24 ч)",
......@@ -3154,6 +3172,7 @@
"Restrict user model request frequency (may impact high concurrency performance)": "Ограничить частоту запросов пользовательских моделей (может повлиять на производительность при высокой конкуренции)",
"Retain last N days": "Хранить последние N дней",
"Retain last N files": "Хранить последние N файлов",
"Retention days": "Дней хранения",
"Retry": "Повторить попытку",
"Retry Chain": "Цепочка повторов",
"Retry Suggestion": "Рекомендация по повтору",
......@@ -3527,6 +3546,7 @@
"Subscription Plans": "Планы подписки",
"Subtract": "Вычесть",
"Success": "Успешно",
"Success rate": "Доля успешных запросов",
"Successfully created {{count}} API Key(s)": "Успешно создано {{count}} API-ключ(а/ей)",
"Successfully created {{count}} redemption codes": "Успешно создано {{count}} кодов активации",
"Successfully deleted {{count}} API key(s)": "Успешно удалено {{count}} API-ключ(а/ей)",
......
web/default/src/i18n/locales/vi.json
......@@ -29,6 +29,7 @@
"{{count}} disabled channel(s) deleted": "Đã xóa {{count}} kênh đã tắt",
"{{count}} hours ago": "{{count}} giờ trước",
"{{count}} incidents": "{{count}} sự cố",
"{{count}} incidents in the last 24 hours": "{{count}} sự cố trong 24 giờ qua",
"{{count}} incidents in the last 30 days": "{{count}} sự cố trong 30 ngày qua",
"{{count}} IP(s)": "{{count}} IP",
"{{count}} log entries removed.": "Đã xóa {{count}} mục nhật ký.",
......@@ -59,11 +60,14 @@
"© 2025 Your Company. All rights reserved.": "© 2025 Công ty của bạn. Mọi quyền được bảo lưu.",
"+{{count}} more": "thêm {{count}} mục",
"| Based on": "| Dựa trên",
"0 means data is kept permanently": "0 nghĩa là dữ liệu được giữ vĩnh viễn",
"0 means unlimited": "0 có nghĩa là không giới hạn",
"1 Day": "1 ngày",
"1 day ago": "1 ngày trước",
"1 hour": "1 giờ",
"1 Hour": "1 giờ",
"1 hour ago": "1 giờ trước",
"1 minute": "1 phút",
"1 minute ago": "1 phút trước",
"1 Month": "1 tháng",
"1 month ago": "1 tháng trước",
......@@ -86,6 +90,7 @@
"30 Days": "30 ngày",
"30 days ago": "30 ngày trước",
"30d change": "Thay đổi 30 ngày",
"5 minutes": "5 phút",
"5-Hour Window": "Cửa sổ 5 giờ",
"50 / page": "50 / trang",
"7 Days": "7 ngày",
......@@ -218,6 +223,7 @@
"Aggregated traffic by upstream model provider": "Lưu lượng tổng hợp theo nhà cung cấp mô hình",
"Aggregated usage metrics and trend charts.": "Chỉ số sử dụng tổng hợp và biểu đồ xu hướng.",
"aggregates 50+ AI providers behind one unified API. Manage access, track costs, and scale effortlessly.": "tổng hợp hơn 50 nhà cung cấp AI sau một API thống nhất. Quản lý truy cập, theo dõi chi phí và mở rộng dễ dàng.",
"Aggregation bucket": "Khoảng tổng hợp",
"AGPL v3.0 License": "Giấy phép AGPL v3.0",
"AI model testing environment": "Môi trường thử nghiệm mô hình AI",
"AI models": "mô hình AI",
......@@ -423,13 +429,18 @@
"Automatically selects the best available group with circuit breaker mechanism": "Tự động chọn nhóm tốt nhất hiện có với cơ chế ngắt mạch",
"Automatically sync model list when upstream changes are detected": "Tự động đồng bộ danh sách mô hình khi phát hiện thay đổi từ nguồn",
"Automatically test channels and notify users when limits are hit": "Tự động kiểm tra các kênh và thông báo cho người dùng khi đạt đến giới hạn",
"Availability (last 24h)": "Khả dụng (24 giờ qua)",
"Available": "Khả dụng",
"Available disk space": "Dung lượng đĩa khả dụng",
"Available Models": "Mô hình khả dụng",
"Available Rewards": "Phần thưởng hiện có",
"Average latency": "Độ trễ trung bình",
"Average latency, TTFT, and success rate by group": "Độ trễ trung bình, TTFT và tỷ lệ thành công theo nhóm",
"Average RPM": "RPM trung bình",
"Average time-to-first-token (TTFT) by group": "Thời gian trung bình tới token đầu tiên (TTFT) theo nhóm",
"Average tokens per second sustained per group": "Số token mỗi giây trung bình duy trì cho từng nhóm",
"Average TPM": "TPM trung bình",
"Average TTFT": "TTFT trung bình",
"AWS": "AWS",
"AWS Bedrock Claude Compat": "AWS Bedrock Claude tương thích",
"AWS Key Format": "Định dạng khóa AWS",
......@@ -710,6 +721,7 @@
"Cohere": "Cohere",
"Collapse": "Thu gọn",
"Collapse All": "Thu gọn tất cả",
"Collect relay latency and success-rate metrics for the model square.": "Thu thập độ trễ Relay và tỷ lệ thành công cho quảng trường mô hình.",
"Color": "Màu",
"Color is required": "Màu sắc là bắt buộc",
"Color preset": "Cài đặt màu sẵn",
......@@ -1294,6 +1306,7 @@
"Enable io.net deployments": "Bật triển khai io.net",
"Enable io.net model deployment service in console": "Bật dịch vụ triển khai mô hình io.net trong bảng điều khiển",
"Enable LinuxDO OAuth": "Bật LinuxDO OAuth",
"Enable model performance metrics": "Bật chỉ số hiệu năng mô hình",
"Enable OIDC": "Bật OIDC",
"Enable or disable this channel": "Bật hoặc tắt kênh này",
"Enable or disable this model": "Bật hoặc tắt mô hình này",
......@@ -1659,6 +1672,7 @@
"Fixed price (USD)": "Giá cố định (USD)",
"Floating": "Nổi",
"FluentRead extension not detected. Please ensure it is installed and active.": "Không phát hiện tiện ích mở rộng FluentRead. Vui lòng đảm bảo nó đã được cài đặt và kích hoạt.",
"Flush interval (minutes)": "Khoảng ghi xuống DB (phút)",
"Follow the guided steps to prepare your workspace before the first login.": "Thực hiện theo các bước hướng dẫn để chuẩn bị không gian làm việc của bạn trước lần đăng nhập đầu tiên.",
"Footer": "Chân trang",
"Footer text displayed at the bottom of pages": "Văn bản chân trang hiển thị ở cuối các trang",
......@@ -2221,6 +2235,7 @@
"Model name is required": "Tên mô hình là bắt buộc",
"Model names copied to clipboard": "Tên mô hình đã được sao chép vào bộ nhớ tạm",
"Model not found": "Không tìm thấy mô hình",
"Model performance metrics": "Chỉ số hiệu năng mô hình",
"Model Price": "Giá mô hình",
"Model Price Not Configured": "Giá mô hình chưa được cấu hình",
"Model Pricing": "Bảng giá mô hình",
......@@ -2396,6 +2411,7 @@
"No groups match your search": "Không có nhóm nào khớp với tìm kiếm của bạn",
"No header overrides configured.": "Không có ghi đè tiêu đề nào được cấu hình.",
"No history data available": "Không có dữ liệu lịch sử",
"No incidents in the last 24 hours": "Không có sự cố trong 24 giờ qua",
"No incidents in the last 30 days": "Không có sự cố trong 30 ngày qua",
"No Inviter": "Không có người mời",
"No keys found": "Không tìm thấy khóa",
......@@ -3106,6 +3122,8 @@
"Request Model:": "Mô hình yêu cầu:",
"Request overrides, routing behavior, and upstream model automation": "Ghi đè yêu cầu, hành vi định tuyến và tự động hóa mô hình upstream",
"Request rule pricing": "Quy tắc tính giá theo request",
"Request success rate sampled over the last 24 hours": "Tỷ lệ yêu cầu thành công được lấy mẫu trong 24 giờ qua",
"Request success rate; {{incidents}} incident buckets in the last 24 hours": "Tỷ lệ yêu cầu thành công; {{incidents}} khoảng có sự cố trong 24 giờ qua",
"Request timed out, please refresh and restart GitHub login": "Yêu cầu đã hết thời gian chờ, vui lòng làm mới và đăng nhập lại GitHub",
"Request-based": "Theo yêu cầu",
"Requests (24h)": "Yêu cầu (24h)",
......@@ -3154,6 +3172,7 @@
"Restrict user model request frequency (may impact high concurrency performance)": "Hạn chế tần suất yêu cầu mô hình người dùng (có thể ảnh hưởng đến hiệu suất khi có độ đồng thời cao)",
"Retain last N days": "Giữ lại N ngày gần nhất",
"Retain last N files": "Giữ lại N tệp gần nhất",
"Retention days": "Số ngày lưu giữ",
"Retry": "Thử lại",
"Retry Chain": "Chuỗi thử lại",
"Retry Suggestion": "Gợi ý thử lại",
......@@ -3527,6 +3546,7 @@
"Subscription Plans": "Gói đăng ký",
"Subtract": "Trừ",
"Success": "Thành công",
"Success rate": "Tỷ lệ thành công",
"Successfully created {{count}} API Key(s)": "Đã tạo thành công {{count}} khóa API",
"Successfully created {{count}} redemption codes": "Đã tạo thành công {{count}} mã đổi thưởng",
"Successfully deleted {{count}} API key(s)": "Đã xóa thành công {{count}} khóa API",
......
web/default/src/i18n/locales/zh.json
......@@ -29,6 +29,7 @@
"{{count}} disabled channel(s) deleted": "已删除 {{count}} 个已禁用的渠道",
"{{count}} hours ago": "{{count}} 小时前",
"{{count}} incidents": "{{count}} 起事件",
"{{count}} incidents in the last 24 hours": "最近 24 小时 {{count}} 个异常桶",
"{{count}} incidents in the last 30 days": "最近 30 天 {{count}} 起事件",
"{{count}} IP(s)": "{{count}} 个 IP",
"{{count}} log entries removed.": "已删除 {{count}} 条日志。",
......@@ -59,11 +60,14 @@
"© 2025 Your Company. All rights reserved.": "© 2025 您的公司。保留所有权利。",
"+{{count}} more": "还有 {{count}} 项",
"| Based on": "| 基于",
"0 means data is kept permanently": "0 表示永久保留数据",
"0 means unlimited": "0 表示不限",
"1 Day": "1 天",
"1 day ago": "1 天前",
"1 hour": "1 小时",
"1 Hour": "1 小时",
"1 hour ago": "1 小时前",
"1 minute": "1 分钟",
"1 minute ago": "1 分钟前",
"1 Month": "1 个月",
"1 month ago": "1 个月前",
......@@ -86,6 +90,7 @@
"30 Days": "30 天",
"30 days ago": "30 天前",
"30d change": "30 天变化",
"5 minutes": "5 分钟",
"5-Hour Window": "5小时窗口",
"50 / page": "50 条/页",
"7 Days": "7 天",
......@@ -218,6 +223,7 @@
"Aggregated traffic by upstream model provider": "按上游模型提供商聚合的流量",
"Aggregated usage metrics and trend charts.": "聚合使用指标和趋势图表。",
"aggregates 50+ AI providers behind one unified API. Manage access, track costs, and scale effortlessly.": "聚合 50+ AI 提供商于统一 API 之后。轻松管理访问、追踪成本、弹性扩展。",
"Aggregation bucket": "聚合时间桶",
"AGPL v3.0 License": "AGPL v3.0 协议",
"AI model testing environment": "AI模型测试环境",
"AI models": "AI 模型",
......@@ -423,13 +429,18 @@
"Automatically selects the best available group with circuit breaker mechanism": "自动选择可用分组，失败时触发熔断切换",
"Automatically sync model list when upstream changes are detected": "检测到上游模型变更时自动同步模型列表",
"Automatically test channels and notify users when limits are hit": "自动测试渠道并在达到限制时通知用户",
"Availability (last 24h)": "可用率（最近 24 小时）",
"Available": "可用",
"Available disk space": "可用磁盘空间",
"Available Models": "可用模型",
"Available Rewards": "可用奖励",
"Average latency": "平均延迟",
"Average latency, TTFT, and success rate by group": "各分组的平均延迟、首 Token 延迟和成功率",
"Average RPM": "平均 RPM",
"Average time-to-first-token (TTFT) by group": "各分组的平均首 Token 延迟（TTFT）",
"Average tokens per second sustained per group": "各分组持续输出的平均每秒 token 数",
"Average TPM": "平均 TPM",
"Average TTFT": "平均首 Token 延迟",
"AWS": "AWS",
"AWS Bedrock Claude Compat": "AWS Bedrock Claude 兼容模板",
"AWS Key Format": "AWS 密钥格式",
......@@ -710,6 +721,7 @@
"Cohere": "Cohere",
"Collapse": "收起",
"Collapse All": "全部收起",
"Collect relay latency and success-rate metrics for the model square.": "收集 Relay 延迟和成功率指标，用于模型广场展示。",
"Color": "颜色",
"Color is required": "颜色为必填项",
"Color preset": "颜色预设",
......@@ -1294,6 +1306,7 @@
"Enable io.net deployments": "启用 io.net 部署",
"Enable io.net model deployment service in console": "在控制台启用 io.net 模型部署服务",
"Enable LinuxDO OAuth": "启用 LinuxDO OAuth",
"Enable model performance metrics": "启用模型性能指标",
"Enable OIDC": "启用 OIDC",
"Enable or disable this channel": "启用或禁用此渠道",
"Enable or disable this model": "启用或禁用此模型",
......@@ -1659,6 +1672,7 @@
"Fixed price (USD)": "固定价格 (USD)",
"Floating": "浮动",
"FluentRead extension not detected. Please ensure it is installed and active.": "未检测到 FluentRead 扩展。请确保已安装并激活。",
"Flush interval (minutes)": "刷库间隔（分钟）",
"Follow the guided steps to prepare your workspace before the first login.": "请按照引导步骤在首次登录前准备您的工作区。",
"Footer": "页脚",
"Footer text displayed at the bottom of pages": "显示在页面底部的页脚文本",
......@@ -2221,6 +2235,7 @@
"Model name is required": "模型名称为必填项",
"Model names copied to clipboard": "模型名称已复制到剪贴板",
"Model not found": "模型未找到",
"Model performance metrics": "模型性能指标",
"Model Price": "模型价格",
"Model Price Not Configured": "模型价格未配置",
"Model Pricing": "模型定价",
......@@ -2396,6 +2411,7 @@
"No groups match your search": "没有组匹配您的搜索",
"No header overrides configured.": "未配置标头覆盖。",
"No history data available": "暂无历史数据",
"No incidents in the last 24 hours": "最近 24 小时无异常",
"No incidents in the last 30 days": "最近 30 天无事件",
"No Inviter": "无邀请人",
"No keys found": "未找到密钥",
......@@ -3106,6 +3122,8 @@
"Request Model:": "请求模型：",
"Request overrides, routing behavior, and upstream model automation": "请求覆盖、路由行为和上游模型自动化",
"Request rule pricing": "请求规则计费",
"Request success rate sampled over the last 24 hours": "最近 24 小时按时间桶采样的请求成功率",
"Request success rate; {{incidents}} incident buckets in the last 24 hours": "请求成功率；最近 24 小时 {{incidents}} 个异常桶",
"Request timed out, please refresh and restart GitHub login": "请求超时，请刷新页面后重新发起 GitHub 登录",
"Request-based": "含请求条件",
"Requests (24h)": "请求数（24 小时）",
......@@ -3154,6 +3172,7 @@
"Restrict user model request frequency (may impact high concurrency performance)": "限制用户模型请求频率（可能会影响高并发性能）",
"Retain last N days": "保留最近N天",
"Retain last N files": "保留最近 N 个文件",
"Retention days": "保留天数",
"Retry": "重试",
"Retry Chain": "重试链路",
"Retry Suggestion": "重试建议",
......@@ -3527,6 +3546,7 @@
"Subscription Plans": "订阅套餐",
"Subtract": "减少",
"Success": "成功",
"Success rate": "成功率",
"Successfully created {{count}} API Key(s)": "成功创建了 {{count}} 个 API 密钥",
"Successfully created {{count}} redemption codes": "成功创建了 {{count}} 个兑换码",
"Successfully deleted {{count}} API key(s)": "成功删除了 {{count}} 个 API 密钥",
......
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