refactor(auth): replace dashboard sessions with stateless tokens and session control (#6329)

* refactor(auth): replace dashboard sessions with stateless tokens

* feat(auth): harden session issuance and distributed enforcement

* fix(proxy): preserve trusted proxy compatibility defaults

* refactor: address dashboard auth review feedback

* refactor: remove classic frontend and flatten web app
This commit is contained in:
Calcium-Ion
2026-07-20 16:48:43 +08:00
committed by GitHub
parent 5a6c53d496
commit 31d70fca39
1605 changed files with 17511 additions and 147913 deletions
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { Tag as TagIcon } from 'lucide-react'
import { useMemo } from 'react'
import { useTranslation } from 'react-i18next'
import { StaticDataTable } from '@/components/data-table'
import { Badge } from '@/components/ui/badge'
import { cn } from '@/lib/utils'
import { useSystemConfigStore } from '@/stores/system-config-store'
import {
BILLING_PRICING_VARS,
MATCH_CONTAINS,
MATCH_EQ,
MATCH_EXISTS,
MATCH_GTE,
MATCH_LT,
MATCH_RANGE,
SOURCE_TIME,
normalizeTierLabel,
parseTiersFromExpr,
splitBillingExprAndRequestRules,
tryParseRequestRuleExpr,
type ParsedTier,
type RequestCondition,
type RequestRuleGroup,
type TierCondition,
} from '../lib/billing-expr'
type DynamicPricingBreakdownProps = {
billingExpr: string | null | undefined
/**
* Label of the tier that fired for the current request. When provided,
* the corresponding row is highlighted and tagged as "Matched". Used by
* the usage-log details dialog to show which tier the engine selected.
*/
matchedTierLabel?: string | null
/**
* Hide cache-pricing columns regardless of the per-tier values. The log
* details dialog passes this when the actual request did not consume any
* cache tokens, so users only see pricing rows that were relevant to the
* call they are inspecting. Defaults to false (show all configured prices).
*/
hideCacheColumns?: boolean
/**
* Dense rendering for the usage-log details dialog: drops the colored
* icon header and uses the dialog's small text sizes. Defaults to false.
*/
compact?: boolean
}
const VAR_LABELS: Record<string, string> = {
p: 'Input',
c: 'Output',
len: 'Length',
}
const OP_LABELS: Record<string, string> = {
'<': '<',
'<=': '≤',
'>': '>',
'>=': '≥',
}
const TIME_FUNC_LABELS: Record<string, string> = {
hour: 'Hour',
minute: 'Minute',
weekday: 'Weekday',
month: 'Month',
day: 'Day',
}
function formatTokenHint(value: string | number): string {
const n = Number(value)
if (!Number.isFinite(n) || n === 0) return ''
if (n >= 1_000_000) {
return `${(n / 1_000_000).toFixed(n % 1_000_000 === 0 ? 0 : 1)}M`
}
if (n >= 1000) {
return `${(n / 1000).toFixed(n % 1000 === 0 ? 0 : 1)}K`
}
return String(n)
}
function formatConditionSummary(
conditions: TierCondition[],
t: (key: string) => string
): string {
return conditions
.map((c) => {
const varLabel = t(VAR_LABELS[c.var] || c.var)
const hint = formatTokenHint(c.value)
return `${varLabel} ${OP_LABELS[c.op] || c.op} ${hint || c.value}`
})
.filter(Boolean)
.join(' && ')
}
function describeCondition(
cond: RequestCondition,
t: (key: string) => string
): string {
if (cond.source === SOURCE_TIME) {
const fn = t(TIME_FUNC_LABELS[cond.timeFunc] || cond.timeFunc)
const tz = cond.timezone || 'UTC'
if (cond.mode === MATCH_RANGE) {
return `${fn} ${cond.rangeStart}:00~${cond.rangeEnd}:00 (${tz})`
}
const opMap: Record<string, string> = {
[MATCH_EQ]: '=',
[MATCH_GTE]: '≥',
[MATCH_LT]: '<',
}
return `${fn} ${opMap[cond.mode] || '='} ${cond.value} (${tz})`
}
const src = cond.source === 'header' ? t('Header') : t('Body param')
const path = cond.path || ''
if (cond.mode === MATCH_EXISTS) return `${src} ${path} ${t('Exists')}`
if (cond.mode === MATCH_CONTAINS) {
return `${src} ${path} ${t('Contains')} "${cond.value}"`
}
const opMap: Record<string, string> = {
eq: '=',
gt: '>',
gte: '≥',
lt: '<',
lte: '≤',
}
return `${src} ${path} ${opMap[cond.mode] || '='} ${cond.value}`
}
function describeGroup(
group: RequestRuleGroup,
t: (key: string) => string
): string {
return (group.conditions || [])
.map((c) => describeCondition(c, t))
.join(' && ')
}
export function DynamicPricingBreakdown({
billingExpr,
matchedTierLabel,
hideCacheColumns = false,
compact = false,
}: DynamicPricingBreakdownProps) {
const { t } = useTranslation()
const expr = billingExpr || ''
const currency = useSystemConfigStore((s) => s.config.currency)
const { symbol, rate } = useMemo(() => {
if (currency.quotaDisplayType === 'CNY') {
return { symbol: '¥', rate: currency.usdExchangeRate || 7 }
}
if (currency.quotaDisplayType === 'CUSTOM') {
return {
symbol: currency.customCurrencySymbol || '¤',
rate: currency.customCurrencyExchangeRate || 1,
}
}
return { symbol: '$', rate: 1 }
}, [currency])
const { tiers, ruleGroups } = useMemo(() => {
const split = splitBillingExprAndRequestRules(expr)
const parsedTiers = parseTiersFromExpr(split.billingExpr)
const parsedRules = tryParseRequestRuleExpr(split.requestRuleExpr || '')
return {
tiers: parsedTiers,
ruleGroups: parsedRules || [],
}
}, [expr])
const hasTiers = tiers.length > 0
const hasRules = ruleGroups.length > 0
const normalizedMatchedTierLabel = normalizeTierLabel(
matchedTierLabel ?? undefined
)
if (!expr) return null
if (!hasTiers) {
return (
<section className={cn('min-w-0', !compact && 'py-4')}>
{!compact && (
<div className='mb-3 flex items-center gap-2'>
<span className='inline-flex size-6 items-center justify-center rounded-lg bg-amber-100 text-amber-700 shadow-sm dark:bg-amber-500/20 dark:text-amber-300'>
<TagIcon className='size-3.5' />
</span>
<div>
<div className='text-foreground text-base font-medium'>
{t('Special billing expression')}
</div>
<div className='text-muted-foreground text-xs'>
{t('Unable to parse structured pricing')}
</div>
</div>
</div>
)}
<div className='text-muted-foreground mb-1 text-[10px] font-medium tracking-wider uppercase'>
{t('Raw expression')}
</div>
<code className='text-muted-foreground block text-xs break-all'>
{expr}
</code>
</section>
)
}
const visiblePriceFields = BILLING_PRICING_VARS.filter((v) => {
if (!hasTiers) return false
if (hideCacheColumns && v.group === 'cache') return false
return tiers.some(
(tier) => Number(tier[v.field as string as keyof ParsedTier] || 0) > 0
)
})
return (
<section className={cn('min-w-0', !compact && 'py-3 sm:py-4')}>
{!compact && (
<div className='mb-3 flex items-start gap-2 sm:mb-4'>
<span className='mt-0.5 inline-flex size-6 items-center justify-center rounded-lg bg-amber-100 text-amber-700 shadow-sm dark:bg-amber-500/20 dark:text-amber-300'>
<TagIcon className='size-3.5' />
</span>
<div>
<div className='text-foreground text-base font-medium'>
{t('Dynamic Pricing')}
</div>
<div className='text-muted-foreground text-xs'>
{t('Prices vary by usage tier and request conditions')}
</div>
</div>
</div>
)}
{hasTiers && (
<div className={cn(compact ? cn(hasRules && 'mb-2') : 'mb-3 sm:mb-4')}>
<div
className={
compact
? 'text-muted-foreground mb-1.5 text-xs font-medium'
: 'text-foreground mb-2 text-sm font-semibold'
}
>
{t('Tiered price table')}
</div>
<div className='space-y-1.5 sm:hidden'>
{tiers.map((tier, i) => {
const condSummary = formatConditionSummary(tier.conditions, t)
const isMatched =
matchedTierLabel != null &&
matchedTierLabel !== '' &&
tier.label === matchedTierLabel
return (
<div
key={`tier-mobile-${i}`}
className={cn(
'rounded-md border p-2',
isMatched && 'border-emerald-500/40 bg-emerald-500/10'
)}
>
<div className='mb-1.5 flex flex-wrap items-center gap-1.5'>
<Badge
variant='secondary'
className='bg-blue-100 text-blue-700 dark:bg-blue-500/20 dark:text-blue-300'
>
{tier.label || t('Default')}
</Badge>
{isMatched && (
<Badge
variant='secondary'
className='bg-emerald-100 text-emerald-700 dark:bg-emerald-500/20 dark:text-emerald-300'
>
{t('Matched')}
</Badge>
)}
</div>
{condSummary && (
<div className='text-muted-foreground mb-1.5 text-xs'>
{condSummary}
</div>
)}
<div className='grid grid-cols-2 gap-x-3 gap-y-1.5'>
{visiblePriceFields.map((v) => {
const value = Number(
tier[v.field as string as keyof ParsedTier] || 0
)
return (
<div key={v.field} className='min-w-0'>
<div className='text-muted-foreground truncate text-[10px] font-medium tracking-wider uppercase'>
{t(v.shortLabel)}
</div>
<div
className={cn(
'truncate font-mono',
compact ? 'text-xs' : 'text-sm font-semibold'
)}
>
{value > 0
? `${symbol}${(value * rate).toFixed(4)}`
: '-'}
</div>
</div>
)
})}
</div>
</div>
)
})}
</div>
<StaticDataTable
className='hidden rounded-none border-0 sm:block'
tableClassName={
compact
? '[&_td]:text-xs [&_td_*]:text-xs [&_th]:text-xs [&_th_*]:text-xs'
: 'text-sm'
}
headerRowClassName='hover:bg-transparent'
data={tiers}
getRowKey={(_tier, index) => `tier-${index}`}
getRowClassName={(tier) => {
const isMatched =
normalizedMatchedTierLabel !== '' &&
normalizeTierLabel(tier.label) === normalizedMatchedTierLabel
return cn(
isMatched &&
'bg-emerald-50/70 hover:bg-emerald-50/70 dark:bg-emerald-500/10 dark:hover:bg-emerald-500/10'
)
}}
columns={[
{
id: 'tier',
header: t('Tier'),
className: cn(
'text-muted-foreground py-2 font-medium',
compact && 'h-8'
),
cellClassName: cn('align-top', compact ? 'py-2' : 'py-2.5'),
cell: (tier) => {
const condSummary = formatConditionSummary(tier.conditions, t)
const isMatched =
normalizedMatchedTierLabel !== '' &&
normalizeTierLabel(tier.label) ===
normalizedMatchedTierLabel
return (
<>
<div className='flex flex-wrap items-center gap-1.5'>
<Badge
variant='secondary'
className='bg-blue-100 text-blue-700 dark:bg-blue-500/20 dark:text-blue-300'
>
{tier.label || t('Default')}
</Badge>
{isMatched && (
<Badge
variant='secondary'
className='bg-emerald-100 text-emerald-700 dark:bg-emerald-500/20 dark:text-emerald-300'
>
{t('Matched')}
</Badge>
)}
</div>
{condSummary && (
<div className='text-muted-foreground mt-1 text-xs'>
{condSummary}
</div>
)}
</>
)
},
},
...visiblePriceFields.map((v, index) => ({
id: v.field ?? `price-${index}`,
header: t(v.shortLabel),
className: cn(
'text-muted-foreground py-2 text-right font-medium',
compact && 'h-8'
),
cellClassName: cn(
'text-right align-top font-mono',
compact ? 'py-2' : 'py-2.5'
),
cell: (tier: ParsedTier) => {
const value = Number(
tier[v.field as string as keyof ParsedTier] || 0
)
return value > 0 ? (
<span className={cn(!compact && 'font-semibold')}>
{`${symbol}${(value * rate).toFixed(4)}`}
</span>
) : (
'-'
)
},
})),
]}
/>
</div>
)}
{hasRules && (
<div>
<div
className={
compact
? 'text-muted-foreground mb-1.5 text-xs font-medium'
: 'text-foreground mb-2 text-sm font-semibold'
}
>
{t('Conditional multipliers')}
</div>
<ul className='space-y-1.5'>
{ruleGroups.map((group, gi) => (
<li
key={`group-${gi}`}
className='bg-muted/50 flex items-center justify-between gap-3 rounded-md px-3 py-2'
>
<span
className={cn(
'text-foreground break-all',
compact ? 'text-xs' : 'text-sm'
)}
>
{describeGroup(group, t)}
</span>
<Badge
variant='secondary'
className='shrink-0 bg-orange-100 text-orange-700 dark:bg-orange-500/20 dark:text-orange-300'
>
{group.multiplier}x
</Badge>
</li>
))}
</ul>
</div>
)}
</section>
)
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { Search } from 'lucide-react'
import { useTranslation } from 'react-i18next'
import { Button } from '@/components/ui/button'
export interface EmptyStateProps {
searchQuery?: string
hasActiveFilters: boolean
onClearFilters: () => void
}
export function EmptyState(props: EmptyStateProps) {
const { t } = useTranslation()
const hasSearch = Boolean(props.searchQuery?.trim())
return (
<div className='flex min-h-[320px] flex-col items-center justify-center rounded-lg border border-dashed px-6 py-12 text-center'>
<Search className='text-muted-foreground/40 mb-3 size-10' />
<h3 className='text-foreground mb-1 text-base font-semibold'>
{t('No models found')}
</h3>
<p className='text-muted-foreground mb-5 max-w-xs text-sm'>
{hasSearch
? t(
'No results for "{{query}}". Try adjusting your search or filters.',
{ query: props.searchQuery }
)
: t('No models match your current filters.')}
</p>
{(props.hasActiveFilters || hasSearch) && (
<Button variant='outline' size='sm' onClick={props.onClearFilters}>
{t('Clear all filters')}
</Button>
)}
</div>
)
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
export { PricingSidebar } from './pricing-sidebar'
export { PricingToolbar } from './pricing-toolbar'
export { ModelCard } from './model-card'
export { ModelCardGrid } from './model-card-grid'
export { LoadingSkeleton } from './loading-skeleton'
export { EmptyState } from './empty-state'
export { SearchBar } from './search-bar'
export {
ModelDetails,
ModelDetailsContent,
ModelDetailsDrawer,
} from './model-details'
export { PricingTable } from './pricing-table'
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { Skeleton } from '@/components/ui/skeleton'
import { VIEW_MODES, type ViewMode } from '../constants'
export interface LoadingSkeletonProps {
viewMode?: ViewMode
}
export function LoadingSkeleton(props: LoadingSkeletonProps) {
const viewMode = props.viewMode ?? VIEW_MODES.CARD
return (
<div className='space-y-5'>
<div className='space-y-1.5'>
<Skeleton className='h-8 w-40' />
<Skeleton className='h-4 w-52' />
</div>
<Skeleton className='h-10 w-full rounded-lg' />
<FilterBarSkeleton />
{viewMode === VIEW_MODES.TABLE ? (
<TableContentSkeleton />
) : (
<CardContentSkeleton />
)}
</div>
)
}
function CardContentSkeleton() {
return (
<div className='grid grid-cols-1 gap-4 md:grid-cols-2 lg:grid-cols-3'>
{Array.from({ length: 9 }).map((_, i) => (
<div key={i} className='rounded-xl border p-5'>
<div className='flex items-start justify-between gap-3'>
<div className='flex min-w-0 items-start gap-3'>
<Skeleton className='size-10 shrink-0 rounded-xl' />
<div className='min-w-0 flex-1 space-y-2'>
<Skeleton className='h-5 w-36' />
<Skeleton className='h-3.5 w-48' />
</div>
</div>
<Skeleton className='h-8 w-16 rounded-md' />
</div>
<div className='mt-4 space-y-2'>
<Skeleton className='h-3.5 w-full' />
<Skeleton className='h-3.5 w-4/5' />
</div>
<div className='mt-4 flex items-center gap-2'>
<Skeleton className='h-4 w-24' />
<Skeleton className='h-4 w-16' />
</div>
<div className='mt-2 flex items-center gap-3'>
<Skeleton className='h-3.5 w-14' />
<Skeleton className='h-3.5 w-14' />
<Skeleton className='h-3.5 w-8' />
</div>
</div>
))}
</div>
)
}
function FilterBarSkeleton() {
return (
<div className='space-y-3'>
<div className='flex items-center gap-3'>
<div className='flex flex-1 flex-wrap items-center gap-2'>
{[80, 90, 75, 85, 70].map((width, i) => (
<Skeleton
key={i}
className='h-8 rounded-lg'
style={{ width: `${width}px` }}
/>
))}
</div>
<div className='flex items-center gap-2'>
<Skeleton className='h-8 w-24 rounded-lg' />
<Skeleton className='h-8 w-20 rounded-lg' />
<Skeleton className='h-8 w-24' />
<Skeleton className='h-8 w-20 rounded-lg' />
</div>
</div>
<Skeleton className='h-5 w-24' />
</div>
)
}
function TableContentSkeleton() {
const columns = [
{ width: 200 },
{ width: 100 },
{ width: 100 },
{ width: 100 },
{ width: 80 },
{ width: 100 },
]
return (
<div className='space-y-4'>
<div className='overflow-hidden rounded-lg border'>
<div className='bg-muted/30 border-b px-4 py-3'>
<div className='flex items-center gap-4'>
{columns.map((col, i) => (
<Skeleton
key={i}
className='h-4'
style={{ width: `${col.width}px` }}
/>
))}
</div>
</div>
{Array.from({ length: 10 }).map((_, i) => (
<div
key={i}
className='flex items-center gap-4 border-b px-4 py-3 last:border-b-0'
>
{columns.map((col, j) => (
<Skeleton
key={j}
className='h-5'
style={{ width: `${col.width}px` }}
/>
))}
</div>
))}
</div>
<div className='flex items-center justify-between'>
<Skeleton className='h-5 w-32' />
<div className='flex items-center gap-2'>
{Array.from({ length: 4 }).map((_, i) => (
<Skeleton key={i} className='size-8' />
))}
</div>
</div>
</div>
)
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { useTranslation } from 'react-i18next'
import { StatusBadge, type StatusVariant } from '@/components/status-badge'
import { isDynamicPricingModel } from '../lib/dynamic-price'
import { isTokenBasedModel } from '../lib/model-helpers'
import type { PricingModel } from '../types'
interface ModelBillingModeBadgeProps {
model: PricingModel
className?: string
}
export function ModelBillingModeBadge(props: ModelBillingModeBadgeProps) {
const { t } = useTranslation()
let label = t('Per Request')
let variant: StatusVariant = 'purple'
if (isDynamicPricingModel(props.model)) {
label = t('Dynamic Pricing')
variant = 'warning'
} else if (isTokenBasedModel(props.model)) {
label = t('Token-based')
variant = 'info'
}
return (
<StatusBadge
label={label}
variant={variant}
copyable={false}
size='sm'
className={props.className}
/>
)
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { useQuery } from '@tanstack/react-query'
import { ChevronLeft, ChevronRight } from 'lucide-react'
import { useMemo, useState } from 'react'
import { useTranslation } from 'react-i18next'
import { Button } from '@/components/ui/button'
import { getPerfMetricsSummary } from '@/features/performance-metrics/api'
import { DEFAULT_PRICING_PAGE_SIZE, DEFAULT_TOKEN_UNIT } from '../constants'
import type { PricingModel, TokenUnit } from '../types'
import { ModelCard } from './model-card'
import type { ModelPerfBadgeData } from './model-perf-badge'
export interface ModelCardGridProps {
models: PricingModel[]
onModelClick: (modelName: string) => void
priceRate?: number
usdExchangeRate?: number
tokenUnit?: TokenUnit
showRechargePrice?: boolean
selectedGroup?: string
}
export function ModelCardGrid(props: ModelCardGridProps) {
const { t } = useTranslation()
const [page, setPage] = useState(1)
const pageSize = DEFAULT_PRICING_PAGE_SIZE
const tokenUnit = props.tokenUnit ?? DEFAULT_TOKEN_UNIT
const totalPages = Math.max(1, Math.ceil(props.models.length / pageSize))
const currentPage = Math.min(page, totalPages)
const perfQuery = useQuery({
queryKey: ['perf-metrics-summary', 24],
queryFn: () => getPerfMetricsSummary(24),
staleTime: 60 * 1000,
retry: false,
})
const pagedModels = useMemo(() => {
const start = (currentPage - 1) * pageSize
return props.models.slice(start, start + pageSize)
}, [currentPage, pageSize, props.models])
const perfMap = useMemo(() => {
const map = new Map<string, ModelPerfBadgeData>()
for (const model of perfQuery.data?.data?.models ?? []) {
map.set(model.model_name, model)
}
return map
}, [perfQuery.data])
if (props.models.length === 0) {
return null
}
return (
<div className='space-y-4 sm:space-y-5'>
<div className='grid grid-cols-1 gap-3 sm:gap-4 md:grid-cols-2 lg:grid-cols-3'>
{pagedModels.map((model) => (
<ModelCard
key={model.id ?? model.model_name}
model={model}
tokenUnit={tokenUnit}
priceRate={props.priceRate}
usdExchangeRate={props.usdExchangeRate}
showRechargePrice={props.showRechargePrice}
selectedGroup={props.selectedGroup}
perf={perfMap.get(model.model_name || '')}
onClick={() => props.onModelClick(model.model_name || '')}
/>
))}
</div>
{totalPages > 1 && (
<div className='text-muted-foreground flex flex-col items-center justify-between gap-3 border-t px-4 py-3 text-sm sm:flex-row'>
<p className='text-muted-foreground'>
{t('Page {{current}} of {{total}}', {
current: currentPage,
total: totalPages,
})}
</p>
<div className='flex items-center gap-2'>
<Button
type='button'
variant='outline'
size='sm'
onClick={() => setPage((current) => Math.max(1, current - 1))}
disabled={currentPage <= 1}
className='gap-1.5'
>
<ChevronLeft className='size-4' />
{t('Previous page')}
</Button>
<Button
type='button'
variant='outline'
size='sm'
onClick={() =>
setPage((current) => Math.min(totalPages, current + 1))
}
disabled={currentPage >= totalPages}
className='gap-1.5'
>
{t('Next page')}
<ChevronRight className='size-4' />
</Button>
</div>
</div>
)}
</div>
)
}
+278
View File
@@ -0,0 +1,278 @@
/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { ChevronRight, Copy } from 'lucide-react'
import { memo, type ReactNode } from 'react'
import { useTranslation } from 'react-i18next'
import { useCopyToClipboard } from '@/hooks/use-copy-to-clipboard'
import { getLobeIcon } from '@/lib/lobe-icon'
import { cn } from '@/lib/utils'
import { DEFAULT_TOKEN_UNIT } from '../constants'
import {
getDynamicDisplayGroupRatio,
getDynamicPricingSummary,
} from '../lib/dynamic-price'
import { parseTags } from '../lib/filters'
import { isTokenBasedModel } from '../lib/model-helpers'
import { formatPrice, formatRequestPrice } from '../lib/price'
import type { PricingModel, TokenUnit } from '../types'
import { ModelBillingModeBadge } from './model-billing-mode-badge'
import { ModelPerfBadge, type ModelPerfBadgeData } from './model-perf-badge'
export interface ModelCardProps {
model: PricingModel
onClick: () => void
priceRate?: number
usdExchangeRate?: number
tokenUnit?: TokenUnit
showRechargePrice?: boolean
selectedGroup?: string
perf?: ModelPerfBadgeData
}
export const ModelCard = memo(function ModelCard(props: ModelCardProps) {
const { t } = useTranslation()
const { copyToClipboard } = useCopyToClipboard()
const tokenUnit = props.tokenUnit ?? DEFAULT_TOKEN_UNIT
const priceRate = props.priceRate ?? 1
const usdExchangeRate = props.usdExchangeRate ?? 1
const showRechargePrice = props.showRechargePrice ?? false
const isTokenBased = isTokenBasedModel(props.model)
const tokenUnitLabel = tokenUnit === 'K' ? '1K' : '1M'
const tags = parseTags(props.model.tags)
const groups = props.model.enable_groups || []
const endpoints = props.model.supported_endpoint_types || []
const modelIconKey = props.model.icon || props.model.vendor_icon
const modelIcon = modelIconKey ? getLobeIcon(modelIconKey, 28) : null
const initial = props.model.model_name?.charAt(0).toUpperCase() || '?'
const isDynamicPricing =
props.model.billing_mode === 'tiered_expr' &&
Boolean(props.model.billing_expr)
const hasCachedPrice = isTokenBased && props.model.cache_ratio != null
const dynamicSummary = isDynamicPricing
? getDynamicPricingSummary(props.model, {
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
groupRatioMultiplier: getDynamicDisplayGroupRatio(
props.model,
props.selectedGroup
),
})
: null
const primaryGroup = groups[0]
const bottomTags = [...endpoints.slice(0, 2), ...tags.slice(0, 2)]
const hiddenCount =
Math.max(groups.length - 1, 0) +
Math.max(endpoints.length - 2, 0) +
Math.max(tags.length - 2, 0)
const handleCopy = (e: React.MouseEvent) => {
e.stopPropagation()
copyToClipboard(props.model.model_name || '')
}
let priceSummary: ReactNode
if (dynamicSummary) {
if (dynamicSummary.isSpecialExpression) {
priceSummary = (
<span className='min-w-0'>
<span className='text-amber-700 dark:text-amber-300'>
{t('Special billing expression')}
</span>
<code className='text-muted-foreground/70 mt-0.5 line-clamp-1 block font-mono text-[11px] break-all'>
{dynamicSummary.rawExpression}
</code>
</span>
)
} else if (dynamicSummary.primaryEntries.length > 0) {
priceSummary = (
<>
{dynamicSummary.primaryEntries.map((entry) => (
<span
key={entry.key}
className='text-muted-foreground whitespace-nowrap'
>
{t(entry.shortLabel)}{' '}
<span className='text-foreground font-mono font-semibold'>
{entry.formatted}
</span>
</span>
))}
</>
)
} else {
priceSummary = (
<span className='text-muted-foreground text-sm'>
{t('Dynamic Pricing')}
</span>
)
}
} else if (isTokenBased) {
priceSummary = (
<>
<span className='text-muted-foreground whitespace-nowrap'>
{t('Input')}{' '}
<span className='text-foreground font-mono font-semibold'>
{formatPrice(
props.model,
'input',
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
props.selectedGroup
)}
</span>
</span>
<span className='text-muted-foreground whitespace-nowrap'>
{t('Output')}{' '}
<span className='text-foreground font-mono font-semibold'>
{formatPrice(
props.model,
'output',
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
props.selectedGroup
)}
</span>
</span>
{hasCachedPrice && (
<span className='text-muted-foreground whitespace-nowrap'>
{t('Cached')}{' '}
<span className='text-foreground font-mono font-semibold'>
{formatPrice(
props.model,
'cache',
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
props.selectedGroup
)}
</span>
</span>
)}
</>
)
} else {
priceSummary = (
<span className='text-muted-foreground whitespace-nowrap'>
<span className='text-foreground font-mono font-semibold'>
{formatRequestPrice(
props.model,
showRechargePrice,
priceRate,
usdExchangeRate,
props.selectedGroup
)}
</span>{' '}
/ {t('request')}
</span>
)
}
return (
<div
className={cn(
'group relative flex flex-col rounded-xl border p-3 transition-colors sm:p-5',
'hover:bg-muted/20'
)}
>
{/* Header: icon + name + price + actions */}
<div className='flex items-start justify-between gap-2.5 sm:gap-3'>
<div className='flex min-w-0 items-start gap-2.5 sm:gap-3'>
<div className='bg-muted/40 flex size-9 shrink-0 items-center justify-center rounded-lg sm:size-10 sm:rounded-xl'>
{modelIcon || (
<span className='text-muted-foreground text-sm font-bold'>
{initial}
</span>
)}
</div>
<div className='min-w-0'>
<h3 className='text-foreground truncate font-mono text-[15px] leading-tight font-bold'>
{props.model.model_name}
</h3>
<div className='mt-0.5 flex flex-wrap items-baseline gap-x-2 gap-y-0.5 text-sm sm:mt-1 sm:gap-x-3'>
{priceSummary}
</div>
</div>
</div>
<div className='flex shrink-0 items-center gap-1.5'>
<button
type='button'
onClick={props.onClick}
className='text-muted-foreground hover:text-foreground hover:bg-muted inline-flex items-center gap-1 rounded-md border px-2 py-1 text-xs transition-colors sm:px-2.5 sm:py-1.5'
>
{t('Details')}
<ChevronRight className='size-3.5' />
</button>
<button
type='button'
onClick={handleCopy}
className='text-muted-foreground hover:text-foreground hover:bg-muted rounded-md border p-1.5 transition-colors'
title={t('Copy')}
>
<Copy className='size-3.5' />
</button>
</div>
</div>
{/* Description */}
<p className='text-muted-foreground mt-2 line-clamp-1 flex-1 text-[13px] leading-relaxed sm:mt-4 sm:line-clamp-2 sm:min-h-[2.5rem]'>
{props.model.description || t('No description available.')}
</p>
{/* Footer: left metadata and right performance summary share row alignment */}
<div className='mt-2 grid grid-cols-[minmax(0,1fr)_auto] items-start gap-x-2 gap-y-1 sm:mt-4'>
<div className='flex min-w-0 flex-wrap items-center gap-x-2 gap-y-1'>
{primaryGroup && (
<span className='text-muted-foreground text-sm font-medium'>
{primaryGroup}
</span>
)}
<ModelBillingModeBadge model={props.model} />
</div>
<ModelPerfBadge perf={props.perf} className='row-span-2 self-start' />
<div className='flex min-w-0 flex-wrap items-center gap-x-2.5 gap-y-0.5 sm:gap-x-3 sm:gap-y-1'>
{bottomTags.map((item) => (
<span key={item} className='text-muted-foreground/70 text-xs'>
{item}
</span>
))}
<span className='text-muted-foreground/50 text-xs'>
{tokenUnitLabel}
</span>
{hiddenCount > 0 && (
<span className='text-muted-foreground/40 text-xs'>
+{hiddenCount}
</span>
)}
</div>
</div>
</div>
)
})
@@ -0,0 +1,793 @@
/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import {
ChevronRight,
Gauge,
KeyRound,
ScrollText,
Sigma,
Zap,
} from 'lucide-react'
import { useMemo, useState } from 'react'
import { useTranslation } from 'react-i18next'
import type { BundledLanguage } from 'shiki/bundle/web'
import {
CodeBlock,
CodeBlockCopyButton,
} from '@/components/ai-elements/code-block'
import {
StaticDataTable,
staticDataTableClassNames as tableStyles,
} from '@/components/data-table'
import { Badge } from '@/components/ui/badge'
import { Tabs, TabsList, TabsTrigger } from '@/components/ui/tabs'
import { useStatus } from '@/hooks/use-status'
import {
buildRateLimits,
buildSupportedParameters,
formatRateLimit,
type SupportedParameter,
} from '../lib/mock-stats'
import { replaceModelInPath } from '../lib/model-helpers'
import type { PricingModel } from '../types'
// ---------------------------------------------------------------------------
// Code-sample registry
// ---------------------------------------------------------------------------
//
// Each sample is keyed by language and endpoint type. The endpoint type comes
// from the model's `supported_endpoint_types`; we render samples only for the
// types the model actually supports. This keeps copy-pasted code accurate and
// provider-shaped (OpenAI vs Anthropic vs Gemini, etc.).
type Lang = 'curl' | 'python' | 'typescript' | 'javascript'
const LANG_LABELS: Record<Lang, string> = {
curl: 'cURL',
python: 'Python',
typescript: 'TypeScript',
javascript: 'JavaScript',
}
const LANG_HIGHLIGHT: Record<Lang, BundledLanguage> = {
curl: 'bash',
python: 'python',
typescript: 'typescript',
javascript: 'javascript',
}
type SampleContext = {
baseUrl: string
apiKeyEnv: string
modelName: string
endpointType: string
endpointPath: string
}
function buildChatSample(lang: Lang, ctx: SampleContext): string {
const url = `${ctx.baseUrl}${ctx.endpointPath}`
const isResponses = ctx.endpointType === 'openai-response'
const isReasoning = /^o[1-4]|reasoning|thinking|deepseek-r/i.test(
ctx.modelName
)
const userMessage = 'Explain quantum entanglement in one paragraph.'
const bodyJson = isResponses
? JSON.stringify({ model: ctx.modelName, input: userMessage }, null, 2)
: JSON.stringify(
{
model: ctx.modelName,
messages: [{ role: 'user', content: userMessage }],
...(isReasoning ? {} : { temperature: 0.7 }),
},
null,
2
)
const fnCall = isResponses ? 'responses.create' : 'chat.completions.create'
if (lang === 'curl') {
return [
`curl ${url} \\`,
` -H "Authorization: Bearer $${ctx.apiKeyEnv}" \\`,
` -H "Content-Type: application/json" \\`,
` -d '${bodyJson.replace(/\n/g, '\n ')}'`,
].join('\n')
}
if (lang === 'python') {
return [
'from openai import OpenAI',
'',
'client = OpenAI(',
` base_url="${ctx.baseUrl}/v1",`,
` api_key="<YOUR_API_KEY>",`,
')',
'',
isResponses
? `response = client.${fnCall}(\n model="${ctx.modelName}",\n input="${userMessage}",\n)\n\nprint(response.output_text)`
: `completion = client.${fnCall}(\n model="${ctx.modelName}",\n messages=[\n {"role": "user", "content": "${userMessage}"}\n ],\n)\n\nprint(completion.choices[0].message.content)`,
].join('\n')
}
if (lang === 'typescript') {
return [
`import OpenAI from 'openai'`,
'',
`const client = new OpenAI({`,
` baseURL: '${ctx.baseUrl}/v1',`,
` apiKey: process.env.${ctx.apiKeyEnv},`,
`})`,
'',
isResponses
? `const response = await client.${fnCall}({\n model: '${ctx.modelName}',\n input: '${userMessage}',\n})\n\nconsole.log(response.output_text)`
: `const completion = await client.${fnCall}({\n model: '${ctx.modelName}',\n messages: [{ role: 'user', content: '${userMessage}' }],\n})\n\nconsole.log(completion.choices[0].message.content)`,
].join('\n')
}
return [
`const response = await fetch('${url}', {`,
` method: 'POST',`,
` headers: {`,
` Authorization: \`Bearer \${process.env.${ctx.apiKeyEnv}}\`,`,
` 'Content-Type': 'application/json',`,
` },`,
` body: JSON.stringify(${bodyJson}),`,
`})`,
'',
`const data = await response.json()`,
`console.log(data)`,
].join('\n')
}
function buildAnthropicSample(lang: Lang, ctx: SampleContext): string {
const url = `${ctx.baseUrl}${ctx.endpointPath}`
const userMessage = 'Explain quantum entanglement in one paragraph.'
if (lang === 'curl') {
const body = JSON.stringify(
{
model: ctx.modelName,
max_tokens: 1024,
messages: [{ role: 'user', content: userMessage }],
},
null,
2
)
return [
`curl ${url} \\`,
` -H "x-api-key: $${ctx.apiKeyEnv}" \\`,
` -H "anthropic-version: 2023-06-01" \\`,
` -H "Content-Type: application/json" \\`,
` -d '${body.replace(/\n/g, '\n ')}'`,
].join('\n')
}
if (lang === 'python') {
return [
'import anthropic',
'',
'client = anthropic.Anthropic(',
` base_url="${ctx.baseUrl}",`,
` api_key="<YOUR_API_KEY>",`,
')',
'',
`message = client.messages.create(`,
` model="${ctx.modelName}",`,
` max_tokens=1024,`,
` messages=[{"role": "user", "content": "${userMessage}"}],`,
')',
'',
'print(message.content[0].text)',
].join('\n')
}
if (lang === 'typescript') {
return [
`import Anthropic from '@anthropic-ai/sdk'`,
'',
`const client = new Anthropic({`,
` baseURL: '${ctx.baseUrl}',`,
` apiKey: process.env.${ctx.apiKeyEnv},`,
`})`,
'',
`const message = await client.messages.create({`,
` model: '${ctx.modelName}',`,
` max_tokens: 1024,`,
` messages: [{ role: 'user', content: '${userMessage}' }],`,
`})`,
'',
`console.log(message.content[0].text)`,
].join('\n')
}
return [
`const response = await fetch('${url}', {`,
` method: 'POST',`,
` headers: {`,
` 'x-api-key': process.env.${ctx.apiKeyEnv},`,
` 'anthropic-version': '2023-06-01',`,
` 'Content-Type': 'application/json',`,
` },`,
` body: JSON.stringify({`,
` model: '${ctx.modelName}',`,
` max_tokens: 1024,`,
` messages: [{ role: 'user', content: '${userMessage}' }],`,
` }),`,
`})`,
'',
`const data = await response.json()`,
`console.log(data.content[0].text)`,
].join('\n')
}
function buildGeminiSample(lang: Lang, ctx: SampleContext): string {
const url = `${ctx.baseUrl}${ctx.endpointPath}?key=$${ctx.apiKeyEnv}`
const userMessage = 'Explain quantum entanglement in one paragraph.'
if (lang === 'curl') {
const body = JSON.stringify(
{ contents: [{ parts: [{ text: userMessage }] }] },
null,
2
)
return [
`curl '${url}' \\`,
` -H 'Content-Type: application/json' \\`,
` -d '${body.replace(/\n/g, '\n ')}'`,
].join('\n')
}
if (lang === 'python') {
return [
'import google.generativeai as genai',
'',
`genai.configure(api_key="<YOUR_API_KEY>")`,
'',
`model = genai.GenerativeModel("${ctx.modelName}")`,
`response = model.generate_content("${userMessage}")`,
'',
`print(response.text)`,
].join('\n')
}
if (lang === 'typescript') {
return [
`import { GoogleGenerativeAI } from '@google/generative-ai'`,
'',
`const genAI = new GoogleGenerativeAI(process.env.${ctx.apiKeyEnv}!)`,
`const model = genAI.getGenerativeModel({ model: '${ctx.modelName}' })`,
'',
`const result = await model.generateContent('${userMessage}')`,
`console.log(result.response.text())`,
].join('\n')
}
return [
`const response = await fetch('${url}', {`,
` method: 'POST',`,
` headers: { 'Content-Type': 'application/json' },`,
` body: JSON.stringify({`,
` contents: [{ parts: [{ text: '${userMessage}' }] }],`,
` }),`,
`})`,
'',
`const data = await response.json()`,
`console.log(data.candidates[0].content.parts[0].text)`,
].join('\n')
}
function buildEmbeddingSample(lang: Lang, ctx: SampleContext): string {
const url = `${ctx.baseUrl}${ctx.endpointPath}`
const text = 'The food was delicious and the waiter…'
if (lang === 'curl') {
const body = JSON.stringify({ model: ctx.modelName, input: text }, null, 2)
return [
`curl ${url} \\`,
` -H "Authorization: Bearer $${ctx.apiKeyEnv}" \\`,
` -H "Content-Type: application/json" \\`,
` -d '${body.replace(/\n/g, '\n ')}'`,
].join('\n')
}
if (lang === 'python') {
return [
'from openai import OpenAI',
'',
`client = OpenAI(base_url="${ctx.baseUrl}/v1", api_key="<YOUR_API_KEY>")`,
'',
'response = client.embeddings.create(',
` model="${ctx.modelName}",`,
` input="${text}",`,
')',
'',
'print(response.data[0].embedding[:8])',
].join('\n')
}
if (lang === 'typescript') {
return [
`import OpenAI from 'openai'`,
'',
`const client = new OpenAI({`,
` baseURL: '${ctx.baseUrl}/v1',`,
` apiKey: process.env.${ctx.apiKeyEnv},`,
`})`,
'',
`const response = await client.embeddings.create({`,
` model: '${ctx.modelName}',`,
` input: '${text}',`,
`})`,
'',
`console.log(response.data[0].embedding.slice(0, 8))`,
].join('\n')
}
return [
`const response = await fetch('${url}', {`,
` method: 'POST',`,
` headers: {`,
` Authorization: \`Bearer \${process.env.${ctx.apiKeyEnv}}\`,`,
` 'Content-Type': 'application/json',`,
` },`,
` body: JSON.stringify({`,
` model: '${ctx.modelName}',`,
` input: '${text}',`,
` }),`,
`})`,
'',
`const data = await response.json()`,
`console.log(data.data[0].embedding.slice(0, 8))`,
].join('\n')
}
function buildImageSample(lang: Lang, ctx: SampleContext): string {
const url = `${ctx.baseUrl}${ctx.endpointPath}`
const prompt = 'A serene koi pond at sunset, ukiyo-e style.'
if (lang === 'curl') {
const body = JSON.stringify(
{ model: ctx.modelName, prompt, size: '1024x1024', n: 1 },
null,
2
)
return [
`curl ${url} \\`,
` -H "Authorization: Bearer $${ctx.apiKeyEnv}" \\`,
` -H "Content-Type: application/json" \\`,
` -d '${body.replace(/\n/g, '\n ')}'`,
].join('\n')
}
if (lang === 'python') {
return [
'from openai import OpenAI',
'',
`client = OpenAI(base_url="${ctx.baseUrl}/v1", api_key="<YOUR_API_KEY>")`,
'',
'response = client.images.generate(',
` model="${ctx.modelName}",`,
` prompt="${prompt}",`,
` size="1024x1024",`,
` n=1,`,
')',
'',
'print(response.data[0].url)',
].join('\n')
}
if (lang === 'typescript') {
return [
`import OpenAI from 'openai'`,
'',
`const client = new OpenAI({`,
` baseURL: '${ctx.baseUrl}/v1',`,
` apiKey: process.env.${ctx.apiKeyEnv},`,
`})`,
'',
`const response = await client.images.generate({`,
` model: '${ctx.modelName}',`,
` prompt: '${prompt}',`,
` size: '1024x1024',`,
` n: 1,`,
`})`,
'',
`console.log(response.data[0].url)`,
].join('\n')
}
return [
`const response = await fetch('${url}', {`,
` method: 'POST',`,
` headers: {`,
` Authorization: \`Bearer \${process.env.${ctx.apiKeyEnv}}\`,`,
` 'Content-Type': 'application/json',`,
` },`,
` body: JSON.stringify({`,
` model: '${ctx.modelName}',`,
` prompt: '${prompt}',`,
` size: '1024x1024',`,
` n: 1,`,
` }),`,
`})`,
'',
`const data = await response.json()`,
`console.log(data.data[0].url)`,
].join('\n')
}
function buildSample(
lang: Lang,
endpointType: string,
ctx: SampleContext
): string {
if (endpointType === 'anthropic') return buildAnthropicSample(lang, ctx)
if (endpointType === 'gemini') return buildGeminiSample(lang, ctx)
if (endpointType === 'embeddings' || endpointType === 'jina-rerank')
return buildEmbeddingSample(lang, ctx)
if (endpointType === 'image-generation') return buildImageSample(lang, ctx)
return buildChatSample(lang, ctx)
}
// ---------------------------------------------------------------------------
// Code samples section
// ---------------------------------------------------------------------------
function CodeSamplesSection(props: {
model: PricingModel
endpointMap: Record<string, { path?: string; method?: string }>
}) {
const { t } = useTranslation()
const { status } = useStatus()
const baseUrl = useMemo(() => {
const candidate =
(status as Record<string, unknown> | null)?.server_address ??
(status as Record<string, unknown> | null)?.serverAddress ??
(status?.data as Record<string, unknown> | undefined)?.server_address ??
(status?.data as Record<string, unknown> | undefined)?.serverAddress
if (candidate && typeof candidate === 'string') {
return candidate.replace(/\/$/, '')
}
if (typeof window !== 'undefined') return window.location.origin
return 'https://api.example.com'
}, [status])
const endpoints = useMemo(() => {
const types = props.model.supported_endpoint_types || []
return types
.map((type) => {
const info = props.endpointMap[type] || {}
let path = info.path || ''
if (path && path.includes('{model}')) {
path = replaceModelInPath(path, props.model.model_name || '')
}
return { type, path, method: info.method || 'POST' }
})
.filter((e) => Boolean(e.path))
}, [props.model, props.endpointMap])
const [endpointType, setEndpointType] = useState<string>(
endpoints[0]?.type ?? ''
)
const [lang, setLang] = useState<Lang>('curl')
const activeEndpoint = useMemo(() => {
return endpoints.find((e) => e.type === endpointType) ?? endpoints[0]
}, [endpointType, endpoints])
if (endpoints.length === 0 || !activeEndpoint) {
return null
}
const code = buildSample(lang, activeEndpoint.type, {
baseUrl,
apiKeyEnv: 'NEW_API_KEY',
modelName: props.model.model_name || '',
endpointType: activeEndpoint.type,
endpointPath: activeEndpoint.path,
})
return (
<section>
<SectionTitle icon={ScrollText}>{t('Code samples')}</SectionTitle>
<div className='flex flex-wrap items-center gap-2'>
{endpoints.length > 1 && (
<Tabs value={endpointType} onValueChange={setEndpointType}>
<TabsList className='bg-muted/40 h-8 p-0.5'>
{endpoints.map((ep) => (
<TabsTrigger
key={ep.type}
value={ep.type}
className='h-7 px-2.5 text-xs'
>
{ep.type}
</TabsTrigger>
))}
</TabsList>
</Tabs>
)}
<Tabs
value={lang}
onValueChange={(v) => setLang(v as Lang)}
className='ml-auto'
>
<TabsList className='bg-muted/40 h-8 p-0.5'>
{(Object.keys(LANG_LABELS) as Lang[]).map((l) => (
<TabsTrigger key={l} value={l} className='h-7 px-2.5 text-xs'>
{LANG_LABELS[l]}
</TabsTrigger>
))}
</TabsList>
</Tabs>
</div>
<div className='mt-3'>
<CodeBlock code={code} language={LANG_HIGHLIGHT[lang]}>
<CodeBlockCopyButton />
</CodeBlock>
</div>
<p className='text-muted-foreground mt-2 text-xs'>
{t('Replace')}{' '}
<code className='bg-muted rounded px-1 py-0.5 font-mono text-[11px]'>
{'<YOUR_API_KEY>'}
</code>{' '}
{t('with the API key from your token settings.')}
</p>
</section>
)
}
// ---------------------------------------------------------------------------
// Supported parameters table
// ---------------------------------------------------------------------------
function SupportedParametersSection(props: { model: PricingModel }) {
const { t } = useTranslation()
const params = useMemo(
() => buildSupportedParameters(props.model),
[props.model]
)
if (params.length === 0) return null
return (
<section>
<SectionTitle icon={Sigma}>{t('Supported parameters')}</SectionTitle>
<StaticDataTable
className={tableStyles.sectionContainer}
headerRowClassName={tableStyles.mutedHeaderRow}
data={params}
getRowKey={(param) => param.name}
getRowClassName={() => 'hover:bg-muted/20'}
columns={[
{
id: 'parameter',
header: t('Parameter'),
className: 'h-9 w-44',
cellClassName: tableStyles.topCell,
cell: (p) => (
<div className='flex items-center gap-1.5'>
<code className='font-mono text-sm font-medium'>{p.name}</code>
{p.required && (
<Badge
variant='outline'
className='h-6 border-rose-500/40 px-2 text-sm text-rose-600 dark:text-rose-400'
>
{t('required')}
</Badge>
)}
</div>
),
},
{
id: 'type',
header: t('Type'),
className: 'h-9 w-24',
cellClassName: tableStyles.topCell,
cell: (p) => (
<Badge
variant='secondary'
className='h-7 rounded-full px-2.5 font-mono text-sm font-normal'
>
{p.type}
</Badge>
),
},
{
id: 'range',
header: t('Default / range'),
className: 'h-9 w-32',
cellClassName: tableStyles.topCell,
cell: (p) => <ParamRangeCell param={p} />,
},
{
id: 'description',
header: t('Description'),
className: 'h-9',
cellClassName: tableStyles.topMutedCell,
cell: (p) => t(p.descriptionKey),
},
]}
/>
</section>
)
}
function ParamRangeCell(props: { param: SupportedParameter }) {
const { defaultValue, range, enumValues } = props.param
if (defaultValue !== undefined) {
return (
<div className='flex flex-wrap items-center gap-1'>
<span className='text-muted-foreground text-sm'>=</span>
<code className='bg-muted rounded px-1.5 py-0.5 font-mono text-sm'>
{String(defaultValue)}
</code>
{range && (
<span className='text-muted-foreground text-sm'>{range}</span>
)}
</div>
)
}
if (range) {
return (
<span className='text-muted-foreground font-mono text-sm'>{range}</span>
)
}
if (enumValues && enumValues.length > 0) {
return (
<div className='flex flex-wrap gap-0.5'>
{enumValues.map((v) => (
<code
key={v}
className='bg-muted text-muted-foreground rounded px-1.5 py-0.5 font-mono text-sm'
>
{v}
</code>
))}
</div>
)
}
return <span className='text-muted-foreground/60 text-sm'></span>
}
// ---------------------------------------------------------------------------
// Rate-limits table
// ---------------------------------------------------------------------------
function RateLimitsSection(props: { model: PricingModel }) {
const { t } = useTranslation()
const limits = useMemo(() => buildRateLimits(props.model), [props.model])
if (limits.length === 0) return null
return (
<section>
<SectionTitle icon={Gauge}>{t('Rate limits')}</SectionTitle>
<StaticDataTable
className={tableStyles.sectionContainer}
headerRowClassName={tableStyles.mutedHeaderRow}
data={limits}
getRowKey={(limit) => limit.group}
getRowClassName={() => 'hover:bg-muted/20'}
columns={[
{
id: 'group',
header: t('Group'),
className: 'h-9',
cellClassName: 'py-2 font-mono',
cell: (limit) => limit.group,
},
{
id: 'rpm',
header: 'RPM',
className: 'h-9 text-right',
cellClassName: tableStyles.topNumericCell,
cell: (limit) => formatRateLimit(limit.rpm),
},
{
id: 'tpm',
header: 'TPM',
className: 'h-9 text-right',
cellClassName: tableStyles.topNumericCell,
cell: (limit) => formatRateLimit(limit.tpm),
},
{
id: 'rpd',
header: 'RPD',
className: 'h-9 text-right',
cellClassName: tableStyles.topNumericCell,
cell: (limit) => formatRateLimit(limit.rpd),
},
]}
/>
<p className='text-muted-foreground mt-2 text-[11px] leading-relaxed'>
{t(
'RPM = requests per minute, TPM = tokens per minute, RPD = requests per day. Limits apply per token group.'
)}
</p>
</section>
)
}
// ---------------------------------------------------------------------------
// Authentication preview
// ---------------------------------------------------------------------------
function AuthSection() {
const { t } = useTranslation()
return (
<section>
<SectionTitle icon={KeyRound}>{t('Authentication')}</SectionTitle>
<div className='border-border/60 bg-muted/20 flex items-start gap-2 rounded-lg border p-3'>
<ChevronRight className='text-muted-foreground mt-0.5 size-3.5 shrink-0' />
<div className='space-y-1.5 text-xs leading-relaxed'>
<p>
{t('All requests must include')}{' '}
<code className='bg-muted rounded px-1 py-0.5 font-mono text-[11px]'>
Authorization: Bearer &lt;TOKEN&gt;
</code>{' '}
{t('header. Anthropic-formatted endpoints accept the')}{' '}
<code className='bg-muted rounded px-1 py-0.5 font-mono text-[11px]'>
x-api-key
</code>{' '}
{t('header instead.')}
</p>
<p className='text-muted-foreground'>
{t(
'Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.'
)}
</p>
</div>
</div>
</section>
)
}
// ---------------------------------------------------------------------------
// Composite API tab
// ---------------------------------------------------------------------------
export function ModelDetailsApi(props: {
model: PricingModel
endpointMap: Record<string, { path?: string; method?: string }>
}) {
return (
<div className='space-y-6'>
<CodeSamplesSection model={props.model} endpointMap={props.endpointMap} />
<AuthSection />
<SupportedParametersSection model={props.model} />
<RateLimitsSection model={props.model} />
</div>
)
}
// ---------------------------------------------------------------------------
// Local UI helpers
// ---------------------------------------------------------------------------
function SectionTitle(props: {
children: React.ReactNode
icon: React.ComponentType<{ className?: string }>
}) {
const Icon = props.icon
return (
<h3 className='text-foreground mb-3 flex items-center gap-1.5 text-sm font-semibold'>
<Icon className='text-muted-foreground/70 size-3.5' />
{props.children}
</h3>
)
}
// Re-export so the parent can keep its own SectionTitle if it wants:
export { Zap as ApiTabIcon }
@@ -0,0 +1,235 @@
/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import {
ArrowDownRight,
ArrowUpRight,
ExternalLink,
Trophy,
} from 'lucide-react'
import { useMemo } from 'react'
import { useTranslation } from 'react-i18next'
import {
StaticDataTable,
staticDataTableClassNames as tableStyles,
} from '@/components/data-table'
import { cn } from '@/lib/utils'
import {
buildAppRankings,
formatTokenVolume,
type AppRanking,
} from '../lib/mock-stats'
import type { PricingModel } from '../types'
const COMPACT_NUMBER = new Intl.NumberFormat(undefined, {
notation: 'compact',
maximumFractionDigits: 1,
})
function RankBadge(props: { rank: number }) {
const rank = props.rank
const isPodium = rank <= 3
const palette =
rank === 1
? 'bg-amber-100 text-amber-700 dark:bg-amber-500/20 dark:text-amber-300'
: rank === 2
? 'bg-slate-100 text-slate-700 dark:bg-slate-500/20 dark:text-slate-300'
: rank === 3
? 'bg-orange-100 text-orange-700 dark:bg-orange-500/20 dark:text-orange-300'
: 'bg-muted text-muted-foreground'
return (
<span
className={cn(
'inline-flex size-7 shrink-0 items-center justify-center rounded-md font-mono text-xs font-bold tabular-nums',
palette
)}
>
{isPodium ? <Trophy className='size-3.5' /> : rank}
</span>
)
}
function GrowthChip(props: { value: number }) {
const value = props.value
const isUp = value > 0
const isDown = value < 0
const palette = isUp
? 'bg-emerald-100 text-emerald-700 dark:bg-emerald-500/20 dark:text-emerald-300'
: isDown
? 'bg-rose-100 text-rose-700 dark:bg-rose-500/20 dark:text-rose-300'
: 'bg-muted text-muted-foreground'
const Icon = isUp ? ArrowUpRight : isDown ? ArrowDownRight : null
const formatted = `${value > 0 ? '+' : ''}${value.toFixed(1)}%`
return (
<span
className={cn(
'inline-flex items-center gap-0.5 rounded-md px-1.5 py-0.5 font-mono text-[11px] font-semibold tabular-nums',
palette
)}
>
{Icon && <Icon className='size-3' />}
{formatted}
</span>
)
}
function AppLink(props: { app: AppRanking }) {
if (!props.app.url) {
return <span className='text-foreground'>{props.app.name}</span>
}
return (
<a
href={props.app.url}
target='_blank'
rel='noreferrer'
className='text-foreground hover:text-primary inline-flex items-center gap-1 transition-colors'
>
{props.app.name}
<ExternalLink className='text-muted-foreground/40 size-3' />
</a>
)
}
export function ModelDetailsApps(props: { model: PricingModel }) {
const { t } = useTranslation()
const apps = useMemo(() => buildAppRankings(props.model, 12), [props.model])
if (apps.length === 0) {
return (
<div className='text-muted-foreground rounded-lg border p-6 text-center text-sm'>
{t('No app usage data available for this model.')}
</div>
)
}
const totalMonthlyTokens = apps.reduce((s, a) => s + a.monthly_tokens, 0)
const top = apps[0]
return (
<div className='flex flex-col gap-4'>
<div className='grid grid-cols-1 gap-2 sm:grid-cols-3'>
<div className='bg-muted/20 rounded-lg border p-3'>
<div className='text-muted-foreground text-[10px] font-medium tracking-wider uppercase'>
{t('Tracked apps')}
</div>
<div className='text-foreground mt-1 font-mono text-lg font-semibold tabular-nums'>
{apps.length}
</div>
<p className='text-muted-foreground/70 text-[11px]'>
{t('Top integrations using this model')}
</p>
</div>
<div className='bg-muted/20 rounded-lg border p-3'>
<div className='text-muted-foreground text-[10px] font-medium tracking-wider uppercase'>
{t('Monthly tokens')}
</div>
<div className='text-foreground mt-1 font-mono text-lg font-semibold tabular-nums'>
{COMPACT_NUMBER.format(totalMonthlyTokens)}
</div>
<p className='text-muted-foreground/70 text-[11px]'>
{t('Aggregated across the apps below')}
</p>
</div>
<div className='bg-muted/20 rounded-lg border p-3'>
<div className='text-muted-foreground text-[10px] font-medium tracking-wider uppercase'>
{t('#1 by usage')}
</div>
<div className='text-foreground mt-1 truncate text-base font-semibold'>
{top.name}
</div>
<p className='text-muted-foreground/70 truncate text-[11px]'>
{top.category} · {formatTokenVolume(top.monthly_tokens)}{' '}
{t('tokens / mo')}
</p>
</div>
</div>
<StaticDataTable
className='rounded-lg'
tableClassName='text-sm'
headerRowClassName={tableStyles.compactHeaderRow}
data={apps}
getRowKey={(app) => `${app.rank}-${app.name}`}
columns={[
{
id: 'rank',
header: '#',
className: cn(tableStyles.compactHeaderCell, 'w-12'),
cellClassName: tableStyles.compactCell,
cell: (app) => <RankBadge rank={app.rank} />,
},
{
id: 'app',
header: t('App'),
className: tableStyles.compactHeaderCell,
cellClassName: tableStyles.compactCell,
cell: (app) => (
<div className='flex items-center gap-3'>
<span className='bg-muted text-muted-foreground inline-flex size-7 shrink-0 items-center justify-center rounded-md font-bold'>
{app.initial}
</span>
<div className='min-w-0'>
<div className='text-sm font-medium'>
<AppLink app={app} />
</div>
<p className='text-muted-foreground line-clamp-1 text-sm'>
{app.description}
</p>
</div>
</div>
),
},
{
id: 'category',
header: t('Category'),
className: cn(
tableStyles.compactHeaderCell,
'hidden md:table-cell'
),
cellClassName: cn(
tableStyles.compactMutedCell,
'hidden md:table-cell'
),
cell: (app) => app.category,
},
{
id: 'monthly-tokens',
header: t('Monthly tokens'),
className: tableStyles.compactHeaderCellRight,
cellClassName: cn(tableStyles.compactNumericCell, 'tabular-nums'),
cell: (app) => formatTokenVolume(app.monthly_tokens),
},
{
id: 'growth',
header: t('30d change'),
className: tableStyles.compactHeaderCellRight,
cellClassName: cn(tableStyles.compactCell, 'text-right'),
cell: (app) => <GrowthChip value={app.growth_pct} />,
},
]}
/>
<p className='text-muted-foreground/60 text-[11px] leading-relaxed'>
{t(
'App rankings shown here are simulated for preview purposes and will be replaced with live usage data once the backend integration is complete.'
)}
</p>
</div>
)
}
@@ -0,0 +1,409 @@
/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { VChart } from '@visactor/react-vchart'
import { useMemo } from 'react'
import { useTranslation } from 'react-i18next'
import { useThemeCustomization } from '@/context/theme-customization-provider'
import { getSuccessRateColor } from '@/features/performance-metrics/lib/format'
import { useThemeRadiusPx } from '@/lib/theme-radius'
import { useChartTheme } from '@/lib/use-chart-theme'
import { cn } from '@/lib/utils'
import { VCHART_OPTION } from '@/lib/vchart'
import type { LatencyTimePoint, UptimeDayPoint } from '../lib/mock-stats'
function formatHourLabel(iso: string): string {
const date = new Date(iso)
const hours = date.getHours()
return `${String(hours).padStart(2, '0')}:00`
}
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',
})
}
function getChartThemeTokens(resolvedTheme: string) {
return {
textColor:
resolvedTheme === 'dark'
? 'rgba(255, 255, 255, 0.68)'
: 'rgba(15, 23, 42, 0.58)',
gridColor:
resolvedTheme === 'dark'
? 'rgba(255, 255, 255, 0.12)'
: 'rgba(15, 23, 42, 0.12)',
}
}
const UPTIME_AXIS_MAX = 100
const UPTIME_FOCUSED_AXIS_MIN = 95
const UPTIME_MINOR_OUTAGE_AXIS_MIN = 90
function toUptimeChartValue(value: number): number {
if (!Number.isFinite(value)) return 0
return Math.min(UPTIME_AXIS_MAX, Math.max(0, value))
}
function getUptimeAxisMin(values: number[]): number {
const finiteValues = values.filter((value) => Number.isFinite(value))
if (finiteValues.length === 0) return UPTIME_FOCUSED_AXIS_MIN
const minValue = Math.max(0, Math.min(...finiteValues))
if (minValue >= UPTIME_FOCUSED_AXIS_MIN) return UPTIME_FOCUSED_AXIS_MIN
if (minValue >= UPTIME_MINOR_OUTAGE_AXIS_MIN) {
return UPTIME_MINOR_OUTAGE_AXIS_MIN
}
return Math.max(0, Math.floor((minValue - 5) / 10) * 10)
}
function stripUptimePointSuffix(value: string): string {
return value.replace(/__(start|end)$/, '')
}
// ---------------------------------------------------------------------------
// Latency trend chart (24h, multi-group point-line chart)
// ---------------------------------------------------------------------------
export function LatencyTrendChart(props: {
series: LatencyTimePoint[]
className?: string
}) {
const { t } = useTranslation()
const { resolvedTheme, themeReady } = useChartTheme()
const { textColor, gridColor } = getChartThemeTokens(resolvedTheme)
const spec = useMemo(() => {
if (props.series.length === 0) return null
const data = props.series.map((point) => ({
time: formatHourLabel(point.timestamp),
group: point.group,
ttft: point.ttft_ms,
}))
return {
type: 'line' as const,
data: [{ id: 'latency', values: data }],
xField: 'time',
yField: 'ttft',
seriesField: 'group',
smooth: true,
point: {
visible: true,
style: { size: 5, stroke: '#ffffff', lineWidth: 1.5 },
},
line: {
style: { lineWidth: 2 },
},
legends: { visible: false },
tooltip: {
mark: {
title: { value: (d: { time: string }) => d.time },
content: [
{
key: t('Average TTFT'),
value: (d: { ttft: number }) => `${Math.round(d.ttft)} ms`,
},
],
},
},
axes: [
{
orient: 'bottom',
label: {
style: { fill: textColor, fontSize: 10 },
},
tick: { visible: false },
},
{
orient: 'left',
label: {
formatMethod: (val: number | string) => `${val} ms`,
style: { fill: textColor, fontSize: 10 },
},
grid: {
visible: true,
style: { lineDash: [3, 3], stroke: gridColor },
},
},
],
}
}, [gridColor, props.series, t, textColor])
if (props.series.length === 0) {
return (
<div
className={cn(
'text-muted-foreground flex h-48 items-center justify-center rounded-lg border text-xs',
props.className
)}
>
{t('No latency data available')}
</div>
)
}
return (
<div className={cn('h-64 sm:h-72', props.className)}>
{themeReady && spec && (
<VChart
key={`latency-${resolvedTheme}`}
spec={{
...spec,
theme: resolvedTheme === 'dark' ? 'dark' : 'light',
background: 'transparent',
}}
option={VCHART_OPTION}
/>
)}
</div>
)
}
// ---------------------------------------------------------------------------
// Uptime trend chart (24h, point-line chart)
// ---------------------------------------------------------------------------
export function UptimeTrendChart(props: {
series: UptimeDayPoint[]
className?: string
}) {
const { t } = useTranslation()
const { resolvedTheme, themeReady } = useChartTheme()
const { textColor, gridColor } = getChartThemeTokens(resolvedTheme)
const spec = useMemo(() => {
if (props.series.length === 0) return null
const rawData = props.series.map((point) => ({
date: formatDayLabel(point.date),
uptime: toUptimeChartValue(point.uptime_pct),
incidents: point.incidents,
outage: point.outage_minutes,
}))
const data =
rawData.length === 1
? [
{ ...rawData[0], date: `${rawData[0].date}__start` },
{ ...rawData[0], date: `${rawData[0].date}__end` },
]
: rawData
const axisMin = getUptimeAxisMin(rawData.map((point) => point.uptime))
return {
type: 'line' as const,
data: [{ id: 'uptime', values: data }],
xField: 'date',
yField: 'uptime',
smooth: true,
line: {
style: { stroke: '#10b981', lineWidth: 2 },
},
point: {
visible: true,
style: {
size: 5,
stroke: '#ffffff',
lineWidth: 1.5,
fill: (datum: { uptime: number }) =>
getSuccessRateColor(datum.uptime),
},
},
tooltip: {
mark: {
title: {
value: (d: { date: string }) => stripUptimePointSuffix(d.date),
},
content: [
{
key: t('Uptime'),
value: (d: { uptime: number }) => `${d.uptime.toFixed(2)}%`,
},
{
key: t('Incidents'),
value: (d: { incidents: number }) => `${d.incidents}`,
},
{
key: t('Outage'),
value: (d: { outage: number }) => `${d.outage} ${t('minutes')}`,
},
],
},
},
axes: [
{
orient: 'bottom',
label: {
formatMethod: (val: number | string) =>
stripUptimePointSuffix(String(val)),
style: { fill: textColor, fontSize: 10 },
autoLimit: true,
},
tick: { visible: false },
},
{
orient: 'left',
min: axisMin,
max: UPTIME_AXIS_MAX,
label: {
formatMethod: (val: number | string) => `${val}%`,
style: { fill: textColor, fontSize: 10 },
},
grid: {
visible: true,
style: { lineDash: [3, 3], stroke: gridColor },
},
},
],
}
}, [gridColor, props.series, t, textColor])
if (props.series.length === 0) {
return (
<div
className={cn(
'text-muted-foreground flex h-48 items-center justify-center rounded-lg border text-xs',
props.className
)}
>
{t('No uptime data available')}
</div>
)
}
return (
<div className={cn('h-56 sm:h-64', props.className)}>
{themeReady && spec && (
<VChart
key={`uptime-trend-${resolvedTheme}`}
spec={{
...spec,
theme: resolvedTheme === 'dark' ? 'dark' : 'light',
background: 'transparent',
}}
option={VCHART_OPTION}
/>
)}
</div>
)
}
// ---------------------------------------------------------------------------
// Throughput by group (horizontal bar)
// ---------------------------------------------------------------------------
export function ThroughputBarChart(props: {
rows: { group: string; throughput_tps: number }[]
className?: string
}) {
const { t } = useTranslation()
const { resolvedTheme, themeReady } = useChartTheme()
const { textColor, gridColor } = getChartThemeTokens(resolvedTheme)
const { customization } = useThemeCustomization()
const barRadius = useThemeRadiusPx(
'--radius-sm',
`${customization.preset}:${customization.radius}`
)
const filtered = useMemo(
() => props.rows.filter((r) => r.throughput_tps > 0),
[props.rows]
)
const spec = useMemo(() => {
if (filtered.length === 0) return null
return {
type: 'bar' as const,
direction: 'horizontal' as const,
data: [{ id: 'tput', values: filtered.map((r) => ({ ...r })) }],
xField: 'throughput_tps',
yField: 'group',
bar: {
style: {
fill: '#6366f1',
...(barRadius == null ? {} : { cornerRadius: barRadius }),
},
},
label: {
visible: true,
position: 'right',
style: { fontSize: 11, fill: textColor },
formatMethod: (text: string) => `${text} t/s`,
},
axes: [
{
orient: 'left',
label: { style: { fill: textColor, fontSize: 10 } },
tick: { visible: false },
},
{
orient: 'bottom',
label: { style: { fill: textColor, fontSize: 10 } },
grid: {
visible: true,
style: { lineDash: [3, 3], stroke: gridColor },
},
},
],
tooltip: {
mark: {
title: { value: (d: { group: string }) => d.group },
content: [
{
key: t('Throughput'),
value: (d: { throughput_tps: number }) =>
`${d.throughput_tps.toFixed(1)} t/s`,
},
],
},
},
}
}, [barRadius, filtered, gridColor, t, textColor])
if (filtered.length === 0) {
return null
}
return (
<div className={cn('h-48 sm:h-56', props.className)}>
{themeReady && spec && (
<VChart
key={`tput-${resolvedTheme}`}
spec={{
...spec,
theme: resolvedTheme === 'dark' ? 'dark' : 'light',
background: 'transparent',
}}
option={VCHART_OPTION}
/>
)}
</div>
)
}
@@ -0,0 +1,375 @@
/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { useQuery } from '@tanstack/react-query'
import { AlertTriangle, HeartPulse, Timer } from 'lucide-react'
import { useMemo } from 'react'
import { useTranslation } from 'react-i18next'
import {
StaticDataTable,
staticDataTableClassNames as tableStyles,
} from '@/components/data-table'
import { GroupBadge } from '@/components/group-badge'
import { getPerfMetrics } from '@/features/performance-metrics/api'
import {
formatLatency,
formatThroughput,
formatUptimePct,
getSuccessRateTextClass,
} from '@/features/performance-metrics/lib/format'
import type { PerformanceGroup } from '@/features/performance-metrics/types'
import { cn } from '@/lib/utils'
import { type UptimeDayPoint } from '../lib/mock-stats'
import type { PricingModel } from '../types'
import { LatencyTrendChart, UptimeTrendChart } from './model-details-charts'
import { UptimeSparkline } from './model-details-uptime-sparkline'
function StatCard(props: {
icon: React.ComponentType<{ className?: string }>
label: string
value: React.ReactNode
hint?: string
valueClassName?: string
}) {
const Icon = props.icon
return (
<div className='bg-background flex flex-col gap-1 rounded-lg border p-3'>
<span className='text-muted-foreground inline-flex items-center gap-1.5 text-[10px] font-medium tracking-wider uppercase'>
<Icon className='size-3' />
{props.label}
</span>
<span
className={cn(
'text-foreground font-mono text-lg font-semibold tabular-nums',
props.valueClassName
)}
>
{props.value}
</span>
{props.hint && (
<span className='text-muted-foreground/70 text-[11px]'>
{props.hint}
</span>
)}
</div>
)
}
type PerformanceRow = {
group: string
avg_ttft_ms: number
avg_latency_ms: number
success_rate: number
avg_tps: number
}
function toUptimePct(value: number): number {
if (!Number.isFinite(value)) return 0
const clamped = Math.min(100, Math.max(0, value))
return Math.round(clamped * 100) / 100
}
function toLatencySeries(groups: PerformanceGroup[]) {
const byTs = new Map<number, number[]>()
for (const group of groups) {
for (const point of group.series) {
if (point.avg_ttft_ms <= 0) continue
const current = byTs.get(point.ts) ?? []
current.push(point.avg_ttft_ms)
byTs.set(point.ts, current)
}
}
return Array.from(byTs.entries())
.sort(([a], [b]) => a - b)
.map(([ts, values]) => ({
timestamp: new Date(ts * 1000).toISOString(),
group: 'latency',
ttft_ms: Math.round(
values.reduce((sum, value) => sum + value, 0) / values.length
),
}))
}
function toUptimeSeries(groups: PerformanceGroup[]): UptimeDayPoint[] {
const byTs = new Map<number, { rates: number[]; incidents: number }>()
for (const group of groups) {
for (const point of group.series) {
const current = byTs.get(point.ts) ?? { rates: [], incidents: 0 }
if (Number.isFinite(point.success_rate)) {
const successRate = toUptimePct(point.success_rate)
current.rates.push(successRate)
if (successRate < 100) current.incidents += 1
}
byTs.set(point.ts, current)
}
}
return Array.from(byTs.entries())
.sort(([a], [b]) => a - b)
.map(([ts, value]) => {
const uptime =
value.rates.length > 0
? value.rates.reduce((sum, rate) => sum + rate, 0) /
value.rates.length
: 0
return {
date: new Date(ts * 1000).toISOString(),
uptime_pct: toUptimePct(uptime),
incidents: value.incidents,
outage_minutes: 0,
}
})
}
function toGroupUptimeSeries(group: PerformanceGroup): UptimeDayPoint[] {
return group.series.map((point) => {
const successRate = toUptimePct(point.success_rate)
return {
date: new Date(point.ts * 1000).toISOString(),
uptime_pct: successRate,
incidents: successRate < 100 ? 1 : 0,
outage_minutes: 0,
}
})
}
function average(
rows: PerformanceRow[],
field: 'avg_ttft_ms' | 'avg_latency_ms'
) {
const values = rows.map((row) => row[field]).filter((value) => value > 0)
if (values.length === 0) return 0
return Math.round(
values.reduce((sum, value) => sum + value, 0) / values.length
)
}
export function ModelDetailsPerformance(props: { model: PricingModel }) {
const { t } = useTranslation()
const metricsQuery = useQuery({
queryKey: ['perf-metrics', props.model.model_name],
queryFn: () => getPerfMetrics(props.model.model_name, 24),
staleTime: 60 * 1000,
})
const groups = useMemo(
() => metricsQuery.data?.data.groups ?? [],
[metricsQuery.data]
)
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,
avg_tps: group.avg_tps,
})),
[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 group of groups) {
map[group.group] = toGroupUptimeSeries(group)
}
return map
}, [groups])
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.')}
</div>
)
}
const tpsValues = performances
.map((p) => p.avg_tps)
.filter((value) => value > 0)
const avgTps =
tpsValues.length > 0
? tpsValues.reduce((sum, value) => sum + value, 0) / tpsValues.length
: 0
const avgLatency = average(performances, 'avg_latency_ms')
const successRates = performances
.map((perf) => perf.success_rate)
.filter((value) => Number.isFinite(value))
const successRate =
successRates.length > 0
? successRates.reduce((sum, value) => sum + value, 0) /
successRates.length
: 0
const incidentCount = uptimeSeries.reduce((s, p) => s + p.incidents, 0)
return (
<div className='flex flex-col gap-4'>
<div className='grid grid-cols-1 gap-2 sm:grid-cols-3'>
<StatCard
icon={Timer}
label='TPS'
value={formatThroughput(avgTps)}
hint={t('Sustained tokens per second')}
/>
<StatCard
icon={Timer}
label={t('Average latency')}
value={formatLatency(avgLatency)}
/>
<StatCard
icon={HeartPulse}
label={t('Success rate')}
value={formatUptimePct(successRate)}
hint={
incidentCount > 0
? t('{{count}} incidents in the last 24 hours', {
count: incidentCount,
})
: t('No incidents in the last 24 hours')
}
valueClassName={getSuccessRateTextClass(successRate)}
/>
</div>
<section>
<SectionHeader
icon={HeartPulse}
title={t('Per-group performance')}
description={t('Average latency, TTFT, TPS, and success rate')}
/>
<StaticDataTable
className='rounded-lg'
tableClassName='text-sm'
headerRowClassName={tableStyles.compactHeaderRow}
data={performances}
getRowKey={(perf) => perf.group}
columns={[
{
id: 'group',
header: t('Group'),
className: tableStyles.compactHeaderCell,
cellClassName: tableStyles.compactCell,
cell: (perf) => <GroupBadge group={perf.group} size='sm' />,
},
{
id: 'tps',
header: 'TPS',
className: tableStyles.compactHeaderCellRight,
cellClassName: tableStyles.compactNumericCell,
cell: (perf) => formatThroughput(perf.avg_tps),
},
{
id: 'ttft',
header: t('Average TTFT'),
className: tableStyles.compactHeaderCellRight,
cellClassName: tableStyles.compactNumericCell,
cell: (perf) => formatLatency(perf.avg_ttft_ms),
},
{
id: 'latency',
header: t('Average latency'),
className: tableStyles.compactHeaderCellRight,
cellClassName: tableStyles.compactMutedNumericCell,
cell: (perf) => formatLatency(perf.avg_latency_ms),
},
{
id: 'success',
header: t('Success rate'),
className: cn(tableStyles.compactHeaderCell, 'min-w-[180px]'),
cellClassName: tableStyles.compactCell,
cell: (perf) => (
<UptimeSparkline
size='sm'
series={uptimeByGroup[perf.group] ?? []}
/>
),
},
]}
/>
</section>
<section>
<SectionHeader
icon={Timer}
title={t('Latency trend (last 24h)')}
description={t('Average TTFT')}
/>
<LatencyTrendChart series={latencySeries} />
</section>
<section>
<SectionHeader
icon={HeartPulse}
title={t('Availability (last 24h)')}
description={
incidentCount > 0
? t(
'Request success rate; {{incidents}} incident buckets in the last 24 hours',
{
incidents: incidentCount,
}
)
: t('Request success rate sampled over the last 24 hours')
}
accent={
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: incidentCount,
})}
</span>
) : null
}
/>
<UptimeTrendChart series={uptimeSeries} />
</section>
</div>
)
}
function SectionHeader(props: {
icon: React.ComponentType<{ className?: string }>
title: string
description?: string
accent?: React.ReactNode
}) {
const Icon = props.icon
return (
<div className='mb-2 flex flex-wrap items-center justify-between gap-2'>
<div className='flex min-w-0 items-center gap-2'>
<Icon className='text-muted-foreground/70 size-3.5 shrink-0' />
<div className='min-w-0'>
<div className='text-foreground text-sm font-semibold'>
{props.title}
</div>
{props.description && (
<p className='text-muted-foreground/80 text-xs'>
{props.description}
</p>
)}
</div>
</div>
{props.accent && (
<div className='shrink-0 text-xs font-medium'>{props.accent}</div>
)}
</div>
)
}
@@ -0,0 +1,217 @@
/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { Activity, AlertCircle, CheckCircle2 } from 'lucide-react'
import { useMemo } from 'react'
import { useTranslation } from 'react-i18next'
import {
Tooltip,
TooltipContent,
TooltipTrigger,
} from '@/components/ui/tooltip'
import {
formatUptimePct,
getSuccessRateDotClass,
getSuccessRateTextClass,
} from '@/features/performance-metrics/lib/format'
import { cn } from '@/lib/utils'
import { aggregateUptime, type UptimeDayPoint } from '../lib/mock-stats'
// ---------------------------------------------------------------------------
// Uptime sparkline
// ---------------------------------------------------------------------------
//
// Compact 30-day uptime visualisation: a row of small coloured bars where:
// - Bar colour reflects per-day uptime (green / amber / red)
// - Bar height reflects severity (the worse the day, the shorter the bar)
// - Hovering a bar reveals the exact date and uptime
//
// Useful as a header strip ("at-a-glance" status) and as a per-row visual
// inside the per-group performance table.
type SparklineSize = 'sm' | 'md'
type UptimeSparklineProps = {
series: UptimeDayPoint[]
size?: SparklineSize
showOverall?: boolean
emptyLabel?: string
className?: string
}
function heightFor(uptime: number): string {
if (uptime >= 99.9) return 'h-full'
if (uptime >= 99.0) return 'h-[88%]'
if (uptime >= 95.0) return 'h-[72%]'
if (uptime >= 90.0) return 'h-[55%]'
return 'h-[40%]'
}
export function UptimeSparkline(props: UptimeSparklineProps) {
const size = props.size ?? 'md'
const showOverall = props.showOverall ?? true
if (props.series.length === 0) {
return (
<span className={cn('text-muted-foreground text-xs', props.className)}>
{props.emptyLabel ?? '—'}
</span>
)
}
const overall =
props.series.reduce((s, p) => s + p.uptime_pct, 0) / props.series.length
const containerHeight = size === 'sm' ? 'h-3.5' : 'h-5'
const barWidth = size === 'sm' ? 'w-[3px]' : 'w-1'
const gap = size === 'sm' ? 'gap-px' : 'gap-[2px]'
return (
<div className={cn('flex items-center gap-2', props.className)}>
<div
className={cn('flex items-end', containerHeight, gap)}
role='img'
aria-label={`30 day uptime ${overall.toFixed(2)}%`}
>
{props.series.map((day) => (
<Tooltip key={day.date}>
<TooltipTrigger
render={
<div
className={cn(
'rounded-sm transition-opacity hover:opacity-80',
barWidth,
containerHeight,
'flex items-end'
)}
/>
}
>
<div
className={cn(
'w-full rounded-sm',
getSuccessRateDotClass(day.uptime_pct),
heightFor(day.uptime_pct)
)}
aria-hidden
/>
</TooltipTrigger>
<TooltipContent side='top' className='font-mono text-xs'>
<div className='font-medium'>{day.date}</div>
<div>{day.uptime_pct.toFixed(2)}%</div>
{day.outage_minutes > 0 && (
<div className='text-muted-foreground'>
{day.outage_minutes} min outage
</div>
)}
</TooltipContent>
</Tooltip>
))}
</div>
{showOverall && (
<span
className={cn(
'font-mono text-sm font-semibold tabular-nums',
getSuccessRateTextClass(overall)
)}
>
{overall.toFixed(1)}%
</span>
)}
</div>
)
}
// ---------------------------------------------------------------------------
// Uptime status row — sparkline + summary text + status icon
// ---------------------------------------------------------------------------
export function UptimeStatusRow(props: {
series: UptimeDayPoint[]
className?: string
}) {
const { t } = useTranslation()
const summary = useMemo(() => aggregateUptime(props.series), [props.series])
const status = useMemo(() => {
if (summary.uptime_pct >= 99.9) return 'operational'
if (summary.uptime_pct >= 99.0) return 'minor'
if (summary.uptime_pct >= 95.0) return 'degraded'
return 'major'
}, [summary.uptime_pct])
const StatusIcon =
status === 'operational'
? CheckCircle2
: status === 'minor'
? Activity
: AlertCircle
const statusColour =
status === 'operational'
? 'text-emerald-600 dark:text-emerald-400'
: status === 'minor'
? 'text-emerald-600 dark:text-emerald-400'
: status === 'degraded'
? 'text-amber-600 dark:text-amber-400'
: 'text-rose-600 dark:text-rose-400'
const statusLabel =
status === 'operational'
? t('All systems operational')
: status === 'minor'
? t('Minor blips in the last 30 days')
: status === 'degraded'
? t('Degraded performance recently')
: t('Significant outages detected')
return (
<div
className={cn(
'border-border/60 bg-muted/30 flex flex-wrap items-center gap-3 rounded-lg border px-3 py-2 sm:gap-4 sm:px-4',
props.className
)}
>
<div className='flex items-center gap-2'>
<StatusIcon className={cn('size-4 shrink-0', statusColour)} />
<span className='text-sm font-medium'>{t('Last 30 days uptime')}</span>
</div>
<UptimeSparkline series={props.series} className='ml-auto' />
<div className='flex items-center gap-3 text-xs'>
<span className={cn('font-medium', statusColour)}>{statusLabel}</span>
{summary.incidents > 0 && (
<span className='text-muted-foreground'>
{summary.incidents}{' '}
{summary.incidents === 1 ? t('incident') : t('incidents')}
</span>
)}
{summary.outage_minutes > 0 && (
<span className='text-muted-foreground'>
{summary.outage_minutes} {t('min downtime')}
</span>
)}
<span className='text-muted-foreground hidden sm:inline'>
{formatUptimePct(summary.uptime_pct)} {t('overall')}
</span>
</div>
</div>
)
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { memo } from 'react'
import { useTranslation } from 'react-i18next'
import { getSuccessRateDotClass } from '@/features/performance-metrics/lib/format'
import { cn } from '@/lib/utils'
export type ModelPerfBadgeData = {
avg_latency_ms: number
success_rate: number
avg_tps: number
recent_success_rates?: number[]
}
export interface ModelPerfBadgeProps extends React.HTMLAttributes<HTMLDivElement> {
perf: ModelPerfBadgeData | undefined
}
function formatCompactNumber(value: number): string {
if (!Number.isFinite(value) || value <= 0) return '—'
return value > 1 ? String(Math.round(value)) : value.toFixed(1)
}
function formatCompactLatency(ms: number): string {
if (!Number.isFinite(ms) || ms <= 0) return '—'
if (ms >= 1_000) return `${formatCompactNumber(ms / 1_000)}s`
return `${formatCompactNumber(ms)}ms`
}
function formatCompactThroughput(tps: number): string {
if (!Number.isFinite(tps) || tps <= 0) return '—'
if (tps >= 1_000) return `${formatCompactNumber(tps / 1_000)}Kt`
return `${formatCompactNumber(tps)}t`
}
export const ModelPerfBadge = memo(function ModelPerfBadge(
props: ModelPerfBadgeProps
) {
const { t } = useTranslation()
if (!props.perf) {
return null
}
const { avg_latency_ms, avg_tps, success_rate } = props.perf
const recentRates =
props.perf.recent_success_rates?.filter((rate) => Number.isFinite(rate)) ??
[]
const statusRates =
recentRates.length > 0 ? recentRates.slice(-3) : [success_rate]
const statusBars = [
...Array(Math.max(0, 3 - statusRates.length)).fill(null),
...statusRates,
].slice(-3)
return (
<div
className={cn(
'hidden w-[132px] grid-cols-[38px_48px_30px] gap-x-2 text-right tabular-nums min-[460px]:grid',
props.className
)}
>
<div title={t('Average latency')} className='min-w-0'>
<div className='text-muted-foreground/55 text-[10px] leading-4'>
{t('Latency short')}
</div>
<div className='text-muted-foreground/80 font-mono text-xs leading-4 whitespace-nowrap'>
{formatCompactLatency(avg_latency_ms)}
</div>
</div>
<div title={t('Throughput')} className='min-w-0'>
<div className='text-muted-foreground/55 truncate text-[10px] leading-4'>
{t('Throughput short')}
</div>
<div className='text-muted-foreground/80 font-mono text-xs leading-4 whitespace-nowrap'>
{formatCompactThroughput(avg_tps)}
</div>
</div>
<div
title={`${t('Success rate')}: ${success_rate.toFixed(1)}%`}
className='min-w-0'
>
<div className='text-muted-foreground/55 truncate text-[10px] leading-4'>
{t('Status short')}
</div>
<div className='flex h-4 items-center justify-end gap-0.5'>
{statusBars.map((rate, index) => (
<span
key={`${index}-${rate ?? 'empty'}`}
className={cn(
'w-1 rounded-full',
index === 0 && 'h-2',
index === 1 && 'h-2.5',
index === 2 && 'h-3',
rate == null
? index === 0
? 'bg-muted-foreground/10'
: 'bg-muted-foreground/15'
: getSuccessRateDotClass(rate)
)}
/>
))}
</div>
</div>
</div>
)
})
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import type { ColumnDef } from '@tanstack/react-table'
import { useTranslation } from 'react-i18next'
import {
BadgeCell,
BadgeListCell,
DataTableColumnHeader,
} from '@/components/data-table'
import { GroupBadge } from '@/components/group-badge'
import { StatusBadge } from '@/components/status-badge'
import { getLobeIcon } from '@/lib/lobe-icon'
import { DEFAULT_TOKEN_UNIT } from '../constants'
import {
getDynamicDisplayGroupRatio,
getDynamicPricingSummary,
} from '../lib/dynamic-price'
import { parseTags } from '../lib/filters'
import { isTokenBasedModel } from '../lib/model-helpers'
import {
formatPrice,
formatRequestPrice,
stripTrailingZeros,
} from '../lib/price'
import type { PricingModel, TokenUnit } from '../types'
import { ModelBillingModeBadge } from './model-billing-mode-badge'
// ----------------------------------------------------------------------------
// Pricing Table Columns
// ----------------------------------------------------------------------------
export interface PricingColumnsOptions {
tokenUnit?: TokenUnit
priceRate?: number
usdExchangeRate?: number
showRechargePrice?: boolean
selectedGroup?: string
}
export function usePricingColumns(
options: PricingColumnsOptions = {}
): ColumnDef<PricingModel>[] {
const { t } = useTranslation()
const {
tokenUnit = DEFAULT_TOKEN_UNIT,
priceRate = 1,
usdExchangeRate = 1,
showRechargePrice = false,
selectedGroup,
} = options
const tokenUnitLabel = tokenUnit === 'K' ? '1K' : '1M'
return [
// Model column
{
accessorKey: 'model_name',
meta: { label: t('Model') },
header: ({ column }) => (
<DataTableColumnHeader column={column} title={t('Model')} />
),
cell: ({ row }) => {
const model = row.original
const modelIconKey = model.icon || model.vendor_icon
const modelIcon = modelIconKey ? getLobeIcon(modelIconKey, 14) : null
return (
<div className='flex max-w-full min-w-0 items-center gap-2'>
{modelIcon}
<span className='truncate font-mono text-sm font-medium'>
{model.model_name}
</span>
</div>
)
},
minSize: 200,
},
// Type column
{
accessorKey: 'quota_type',
header: t('Type'),
cell: ({ row }) => (
<ModelBillingModeBadge model={row.original} className='-ml-1.5' />
),
size: 110,
enableSorting: false,
},
// Price column
{
accessorKey: 'price',
meta: { label: t('Price') },
header: ({ column }) => (
<DataTableColumnHeader column={column} title={t('Price')} />
),
cell: ({ row }) => {
const model = row.original
const dynamicSummary = getDynamicPricingSummary(model, {
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
groupRatioMultiplier: getDynamicDisplayGroupRatio(
model,
selectedGroup
),
})
if (dynamicSummary) {
if (dynamicSummary.isSpecialExpression) {
return (
<div className='max-w-full min-w-0'>
<div className='text-xs font-medium text-amber-700 dark:text-amber-300'>
{t('Special billing expression')}
</div>
<div className='text-muted-foreground text-[11px]'>
{t('Unable to parse structured pricing')}
</div>
<code className='text-muted-foreground/70 mt-1 line-clamp-2 block font-mono text-[10px] leading-relaxed break-all'>
{dynamicSummary.rawExpression}
</code>
</div>
)
}
const primaryEntries = dynamicSummary.primaryEntries.slice(0, 2)
if (primaryEntries.length === 0) {
return (
<span className='text-muted-foreground text-xs'>
{t('Dynamic Pricing')}
</span>
)
}
return (
<div className='max-w-full min-w-0'>
<span className='font-mono text-sm tabular-nums'>
{primaryEntries.map((entry, index) => (
<span key={entry.key}>
{index > 0 && (
<span className='text-muted-foreground/40 mx-1'>/</span>
)}
{stripTrailingZeros(entry.formatted)}
</span>
))}
</span>
<div className='text-muted-foreground/50 text-[10px]'>
/ {tokenUnitLabel} tokens
{dynamicSummary.tierCount > 1 &&
` · ${t('{{count}} tiers', {
count: dynamicSummary.tierCount,
})}`}
</div>
</div>
)
}
const isTokenBased = isTokenBasedModel(model)
if (isTokenBased) {
const inputPrice = stripTrailingZeros(
formatPrice(
model,
'input',
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
selectedGroup
)
)
const outputPrice = stripTrailingZeros(
formatPrice(
model,
'output',
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
selectedGroup
)
)
return (
<div className='max-w-full min-w-0'>
<span className='font-mono text-sm tabular-nums'>
{inputPrice}
<span className='text-muted-foreground/40 mx-1'>/</span>
{outputPrice}
</span>
<div className='text-muted-foreground/50 text-[10px]'>
/ {tokenUnitLabel} tokens
</div>
</div>
)
}
const price = stripTrailingZeros(
formatRequestPrice(
model,
showRechargePrice,
priceRate,
usdExchangeRate,
selectedGroup
)
)
return (
<div className='max-w-full min-w-0'>
<span className='font-mono text-sm tabular-nums'>{price}</span>
<div className='text-muted-foreground/50 text-[10px]'>
/ {t('request')}
</div>
</div>
)
},
size: 180,
enableSorting: false,
},
// Cached price column (Vercel AI Gateway style)
{
id: 'cached_price',
header: t('Cached'),
cell: ({ row }) => {
const model = row.original
const dynamicSummary = getDynamicPricingSummary(model, {
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
groupRatioMultiplier: getDynamicDisplayGroupRatio(
model,
selectedGroup
),
})
if (dynamicSummary) {
if (dynamicSummary.isSpecialExpression) {
return (
<span className='text-muted-foreground/50 text-xs'>
{t('Special billing expression')}
</span>
)
}
const cacheEntry = dynamicSummary.entries.find(
(entry) => entry.field === 'cacheReadPrice'
)
if (!cacheEntry) {
return <span className='text-muted-foreground/30 text-xs'></span>
}
return (
<div className='max-w-full min-w-0'>
<span className='font-mono text-sm tabular-nums'>
{stripTrailingZeros(cacheEntry.formatted)}
</span>
<div className='text-muted-foreground/50 text-[10px]'>
/ {tokenUnitLabel}
</div>
</div>
)
}
const isTokenBased = isTokenBasedModel(model)
if (!isTokenBased || model.cache_ratio == null) {
return <span className='text-muted-foreground/30 text-xs'></span>
}
const cachedPrice = stripTrailingZeros(
formatPrice(
model,
'cache',
tokenUnit,
showRechargePrice,
priceRate,
usdExchangeRate,
selectedGroup
)
)
return (
<div className='max-w-full min-w-0'>
<span className='font-mono text-sm tabular-nums'>
{cachedPrice}
</span>
<div className='text-muted-foreground/50 text-[10px]'>
/ {tokenUnitLabel}
</div>
</div>
)
},
size: 110,
enableSorting: false,
},
// Vendor column
{
accessorKey: 'vendor_name',
header: t('Vendor'),
cell: ({ row }) => {
const model = row.original
if (!model.vendor_name) {
return <span className='text-muted-foreground/50 text-xs'></span>
}
const vendorIcon = model.vendor_icon
? getLobeIcon(model.vendor_icon, 12)
: null
return (
<BadgeCell className='gap-1.5'>
{vendorIcon}
<StatusBadge
label={model.vendor_name}
autoColor={model.vendor_name}
size='sm'
copyable={false}
/>
</BadgeCell>
)
},
size: 130,
enableSorting: false,
},
// Tags column
{
accessorKey: 'tags',
header: t('Tags'),
cell: ({ row }) => {
const tags = parseTags(row.original.tags)
return (
<BadgeListCell
items={tags.map((tag) => (
<StatusBadge
key={tag}
label={tag}
autoColor={tag}
size='sm'
copyable={false}
/>
))}
/>
)
},
size: 140,
enableSorting: false,
},
// Endpoints column
{
accessorKey: 'supported_endpoint_types',
header: t('Endpoints'),
cell: ({ row }) => {
const endpoints = row.original.supported_endpoint_types || []
return (
<BadgeListCell
items={endpoints.map((ep) => (
<StatusBadge
key={ep}
label={ep}
autoColor={ep}
size='sm'
copyable={false}
/>
))}
/>
)
},
size: 130,
enableSorting: false,
},
// Enable Groups column
{
accessorKey: 'enable_groups',
header: t('Groups'),
cell: ({ row }) => {
const groups = row.original.enable_groups || []
return (
<BadgeListCell
items={groups.map((group) => (
<GroupBadge key={group} group={group} size='sm' />
))}
tooltipClassName='max-w-[280px] p-2'
/>
)
},
size: 130,
enableSorting: false,
},
]
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { ChevronDown, RotateCcw } from 'lucide-react'
import type { ReactNode } from 'react'
import { useTranslation } from 'react-i18next'
import { Badge } from '@/components/ui/badge'
import { Button } from '@/components/ui/button'
import {
Collapsible,
CollapsibleContent,
CollapsibleTrigger,
} from '@/components/ui/collapsible'
import { getLobeIcon } from '@/lib/lobe-icon'
import { cn } from '@/lib/utils'
import {
ENDPOINT_TYPES,
FILTER_ALL,
QUOTA_TYPES,
getEndpointTypeLabels,
getQuotaTypeLabels,
} from '../constants'
import { parseTags } from '../lib/filters'
import type { PricingModel, PricingVendor } from '../types'
type FilterOption = {
value: string
label: string
count?: number
suffix?: string
icon?: ReactNode
}
type FilterSectionProps = {
title: string
value: string
options: FilterOption[]
onChange: (value: string) => void
}
export interface PricingSidebarProps {
quotaTypeFilter: string
endpointTypeFilter: string
vendorFilter: string
groupFilter: string
tagFilter: string
onQuotaTypeChange: (value: string) => void
onEndpointTypeChange: (value: string) => void
onVendorChange: (value: string) => void
onGroupChange: (value: string) => void
onTagChange: (value: string) => void
vendors: PricingVendor[]
groups: string[]
groupRatios?: Record<string, number>
tags: string[]
models: PricingModel[]
hasActiveFilters: boolean
onClearFilters: () => void
className?: string
}
function countBy(
models: PricingModel[],
predicate: (model: PricingModel) => boolean
): number {
return models.reduce((count, model) => count + (predicate(model) ? 1 : 0), 0)
}
function formatGroupRatio(ratio: number | undefined): string | undefined {
if (ratio == null) return undefined
const formatted = Number.isInteger(ratio)
? ratio.toString()
: ratio.toFixed(3).replace(/0+$/, '').replace(/\.$/, '')
return `x${formatted}`
}
function FilterChip(props: {
option: FilterOption
active: boolean
onClick: () => void
}) {
return (
<button
type='button'
onClick={props.onClick}
className={cn(
'group inline-flex max-w-full items-center gap-1.5 rounded-md border px-2 py-1 text-xs font-medium transition-all',
props.active
? 'border-foreground/30 bg-foreground/5 text-foreground shadow-sm'
: 'border-border/70 bg-background text-muted-foreground hover:border-border hover:bg-muted/50 hover:text-foreground'
)}
title={props.option.label}
>
{props.option.icon && (
<span className='shrink-0'>{props.option.icon}</span>
)}
<span className='truncate'>{props.option.label}</span>
{(props.option.suffix || props.option.count != null) && (
<span
className={cn(
'rounded-md px-1.5 py-0.5 text-[12px]',
props.active
? 'bg-background text-foreground'
: 'bg-muted text-muted-foreground'
)}
>
{props.option.suffix ?? props.option.count}
</span>
)}
</button>
)
}
function FilterSection(props: FilterSectionProps) {
return (
<Collapsible
defaultOpen
className='border-border/70 border-b pb-3 last:border-b-0'
>
<CollapsibleTrigger className='group flex w-full items-center justify-between py-2.5 text-left'>
<span className='text-foreground text-sm font-semibold'>
{props.title}
</span>
<ChevronDown className='text-muted-foreground size-4 transition-transform group-data-[panel-open]:rotate-180' />
</CollapsibleTrigger>
<CollapsibleContent>
<div className='flex flex-wrap gap-1.5'>
{props.options.map((option) => (
<FilterChip
key={option.value}
option={option}
active={props.value === option.value}
onClick={() => props.onChange(option.value)}
/>
))}
</div>
</CollapsibleContent>
</Collapsible>
)
}
export function PricingSidebar(props: PricingSidebarProps) {
const { t } = useTranslation()
const quotaTypeLabels = getQuotaTypeLabels(t)
const endpointTypeLabels = getEndpointTypeLabels(t)
const vendorOptions: FilterOption[] = [
{
value: FILTER_ALL,
label: t('All Vendors'),
count: props.models.length,
},
...props.vendors
.map((vendor) => ({
value: vendor.name,
label: vendor.name,
count: countBy(
props.models,
(model) => model.vendor_name === vendor.name
),
icon: vendor.icon ? getLobeIcon(vendor.icon, 14) : undefined,
}))
.filter((vendor) => vendor.count > 0),
]
const groupOptions: FilterOption[] = [
{
value: FILTER_ALL,
label: t('All Groups'),
},
...props.groups.map((group) => ({
value: group,
label: group,
suffix: formatGroupRatio(props.groupRatios?.[group]),
})),
]
const quotaOptions: FilterOption[] = [
{
value: QUOTA_TYPES.ALL,
label: quotaTypeLabels[QUOTA_TYPES.ALL],
count: props.models.length,
},
{
value: QUOTA_TYPES.TOKEN,
label: quotaTypeLabels[QUOTA_TYPES.TOKEN],
count: countBy(props.models, (model) => model.quota_type === 0),
},
{
value: QUOTA_TYPES.REQUEST,
label: quotaTypeLabels[QUOTA_TYPES.REQUEST],
count: countBy(props.models, (model) => model.quota_type === 1),
},
]
const tagOptions: FilterOption[] = [
{
value: FILTER_ALL,
label: t('All Tags'),
count: props.models.length,
},
...props.tags.map((tag) => ({
value: tag,
label: tag,
count: countBy(props.models, (model) =>
parseTags(model.tags)
.map((item) => item.toLowerCase())
.includes(tag.toLowerCase())
),
})),
]
const endpointOptions: FilterOption[] = [
{
value: ENDPOINT_TYPES.ALL,
label: endpointTypeLabels[ENDPOINT_TYPES.ALL],
count: props.models.length,
},
...Object.entries(endpointTypeLabels)
.filter(([value]) => value !== ENDPOINT_TYPES.ALL)
.map(([value, label]) => ({
value,
label,
count: countBy(
props.models,
(model) => model.supported_endpoint_types?.includes(value) ?? false
),
})),
]
return (
<aside className={cn('rounded-xl border p-3', props.className)}>
<div className='mb-2.5 flex items-center justify-between gap-2'>
<div>
<h2 className='text-foreground text-sm font-bold'>{t('Filter')}</h2>
<p className='text-muted-foreground mt-1 text-xs'>
{t('Refine models by provider, group, type, and tags.')}
</p>
</div>
<Button
type='button'
variant='ghost'
size='sm'
onClick={props.onClearFilters}
disabled={!props.hasActiveFilters}
className='h-7 gap-1.5 px-2 text-xs'
>
<RotateCcw className='size-3.5' />
{t('Reset')}
</Button>
</div>
{props.hasActiveFilters && (
<Badge variant='secondary' className='mb-3'>
{t('Filters active')}
</Badge>
)}
<div className='space-y-1'>
<FilterSection
title={t('Groups')}
value={props.groupFilter}
options={groupOptions}
onChange={props.onGroupChange}
/>
<FilterSection
title={t('All Vendors')}
value={props.vendorFilter}
options={vendorOptions}
onChange={props.onVendorChange}
/>
<FilterSection
title={t('Model Tags')}
value={props.tagFilter}
options={tagOptions}
onChange={props.onTagChange}
/>
<FilterSection
title={t('Pricing Type')}
value={props.quotaTypeFilter}
options={quotaOptions}
onChange={props.onQuotaTypeChange}
/>
<FilterSection
title={t('Endpoint Type')}
value={props.endpointTypeFilter}
options={endpointOptions}
onChange={props.onEndpointTypeChange}
/>
</div>
</aside>
)
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import type { Row, PaginationState } from '@tanstack/react-table'
import { useState, useCallback } from 'react'
import { useTranslation } from 'react-i18next'
import {
DataTablePagination,
DataTableRow,
DataTableView,
useDataTable,
} from '@/components/data-table'
import { DEFAULT_PRICING_PAGE_SIZE, DEFAULT_TOKEN_UNIT } from '../constants'
import type { PricingModel, TokenUnit } from '../types'
import { usePricingColumns } from './pricing-columns'
export interface PricingTableProps {
models: PricingModel[]
isLoading?: boolean
priceRate?: number
usdExchangeRate?: number
tokenUnit?: TokenUnit
showRechargePrice?: boolean
selectedGroup?: string
onModelClick?: (modelName: string) => void
}
export function PricingTable(props: PricingTableProps) {
const { t } = useTranslation()
const {
models,
isLoading = false,
priceRate = 1,
usdExchangeRate = 1,
tokenUnit = DEFAULT_TOKEN_UNIT,
showRechargePrice = false,
selectedGroup,
onModelClick,
} = props
const [pagination, setPagination] = useState<PaginationState>({
pageIndex: 0,
pageSize: DEFAULT_PRICING_PAGE_SIZE,
})
const columns = usePricingColumns({
tokenUnit,
priceRate,
usdExchangeRate,
showRechargePrice,
selectedGroup,
})
const { table } = useDataTable({
data: models,
columns,
pageCount: Math.ceil(models.length / pagination.pageSize),
pagination,
onPaginationChange: setPagination,
manualPagination: false,
withFilteredRowModel: false,
withSortedRowModel: false,
withFacetedRowModel: false,
})
const handleRowClick = useCallback(
(model: PricingModel) => {
onModelClick?.(model.model_name)
},
[onModelClick]
)
return (
<div className='space-y-4'>
<DataTableView
table={table}
isLoading={isLoading}
emptyTitle={t('No Models Found')}
emptyDescription={t('No models match your current filters.')}
skeletonKeyPrefix='pricing-skeleton'
applyHeaderSize
getColumnClassName={(_columnId, kind) =>
kind === 'header' ? 'text-muted-foreground font-medium' : undefined
}
renderRow={(row: Row<PricingModel>) => (
<DataTableRow
key={row.id}
row={row}
className='hover:bg-muted/30 cursor-pointer transition-colors'
onClick={() => handleRowClick(row.original)}
/>
)}
/>
{!isLoading && models.length > 0 && <DataTablePagination table={table} />}
</div>
)
}
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/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { ArrowUpDown, Check, Filter, Grid2X2, Table2 } from 'lucide-react'
import { useCallback, useState } from 'react'
import { useTranslation } from 'react-i18next'
import {
sideDrawerContentClassName,
sideDrawerFormClassName,
sideDrawerHeaderClassName,
} from '@/components/drawer-layout'
import { Badge } from '@/components/ui/badge'
import { Button } from '@/components/ui/button'
import {
DropdownMenu,
DropdownMenuContent,
DropdownMenuItem,
DropdownMenuTrigger,
} from '@/components/ui/dropdown-menu'
import {
Sheet,
SheetContent,
SheetDescription,
SheetHeader,
SheetTitle,
} from '@/components/ui/sheet'
import {
Tooltip,
TooltipContent,
TooltipTrigger,
} from '@/components/ui/tooltip'
import { cn } from '@/lib/utils'
import {
VIEW_MODES,
getSortLabels,
type SortOption,
type ViewMode,
} from '../constants'
import type { PricingModel, PricingVendor, TokenUnit } from '../types'
import { PricingSidebar } from './pricing-sidebar'
type SegmentOption = {
value: string
label?: string
icon?: React.ComponentType<{ className?: string }>
tooltip?: string
}
export interface PricingToolbarProps {
filteredCount: number
totalCount?: number
sortBy: string
onSortChange: (value: string) => void
tokenUnit: TokenUnit
onTokenUnitChange: (value: TokenUnit) => void
showRechargePrice: boolean
onRechargePriceChange: (value: boolean) => void
viewMode: ViewMode
onViewModeChange: (value: ViewMode) => void
quotaTypeFilter: string
endpointTypeFilter: string
vendorFilter: string
groupFilter: string
tagFilter: string
onQuotaTypeChange: (value: string) => void
onEndpointTypeChange: (value: string) => void
onVendorChange: (value: string) => void
onGroupChange: (value: string) => void
onTagChange: (value: string) => void
vendors: PricingVendor[]
groups: string[]
groupRatios?: Record<string, number>
tags: string[]
models: PricingModel[]
hasActiveFilters: boolean
activeFilterCount: number
onClearFilters: () => void
}
function SegmentedControl(props: {
options: SegmentOption[]
value: string
onChange: (value: string) => void
ariaLabel: string
}) {
return (
<div
role='group'
aria-label={props.ariaLabel}
className='bg-muted/60 inline-flex h-8 items-center rounded-lg border p-0.5'
>
{props.options.map((option) => {
const Icon = option.icon
const isActive = option.value === props.value
const button = (
<button
key={option.value}
type='button'
onClick={() => props.onChange(option.value)}
aria-pressed={isActive}
className={cn(
'inline-flex h-full items-center justify-center rounded-md text-xs font-medium transition-all',
Icon && !option.label ? 'w-7' : 'gap-1.5 px-3',
isActive
? 'bg-primary text-primary-foreground shadow-sm'
: 'text-muted-foreground hover:text-foreground'
)}
>
{Icon && <Icon className='size-3.5' />}
{option.label}
</button>
)
if (!option.tooltip) {
return button
}
return (
<Tooltip key={option.value}>
<TooltipTrigger render={button}></TooltipTrigger>
<TooltipContent side='bottom' className='text-xs'>
{option.tooltip}
</TooltipContent>
</Tooltip>
)
})}
</div>
)
}
export function PricingToolbar(props: PricingToolbarProps) {
const { t } = useTranslation()
const [mobileFiltersOpen, setMobileFiltersOpen] = useState(false)
const sortLabels = getSortLabels(t)
const handleTokenUnitChange = useCallback(
(value: string) => props.onTokenUnitChange(value as TokenUnit),
[props]
)
const handleViewModeChange = useCallback(
(value: string) => props.onViewModeChange(value as ViewMode),
[props]
)
const handleRechargePriceChange = useCallback(
(value: string) => props.onRechargePriceChange(value === 'recharge'),
[props]
)
return (
<div className='rounded-xl border p-3'>
<div className='flex flex-col gap-3 lg:flex-row lg:items-center lg:justify-between'>
<div className='flex items-center gap-2'>
<Button
type='button'
variant='outline'
size='sm'
onClick={() => setMobileFiltersOpen(true)}
className='gap-1.5 xl:hidden'
>
<Filter className='size-4' />
{t('Filter')}
{props.activeFilterCount > 0 && (
<Badge className='ml-0.5 size-5 justify-center p-0 text-[10px]'>
{props.activeFilterCount}
</Badge>
)}
</Button>
<div className='text-muted-foreground flex items-baseline gap-1 text-sm'>
<span className='text-foreground font-semibold tabular-nums'>
{props.filteredCount.toLocaleString()}
</span>
<span>{props.filteredCount === 1 ? t('model') : t('models')}</span>
{props.hasActiveFilters && props.totalCount && (
<span className='text-muted-foreground/60 text-xs'>
/ {props.totalCount.toLocaleString()}
</span>
)}
</div>
</div>
<div className='flex flex-wrap items-center gap-2'>
<div className='hidden items-center gap-2 sm:flex'>
<SegmentedControl
options={[
{ value: 'standard', label: t('Standard') },
{ value: 'recharge', label: t('Recharge') },
]}
value={props.showRechargePrice ? 'recharge' : 'standard'}
onChange={handleRechargePriceChange}
ariaLabel={t('Price display mode')}
/>
<SegmentedControl
options={[
{ value: 'M', label: '/1M' },
{ value: 'K', label: '/1K' },
]}
value={props.tokenUnit}
onChange={handleTokenUnitChange}
ariaLabel={t('Token unit')}
/>
</div>
<DropdownMenu>
<DropdownMenuTrigger
render={
<Button
type='button'
variant='outline'
size='sm'
className='h-8 gap-1.5 px-3 text-xs'
/>
}
>
<ArrowUpDown className='size-3.5' />
<span>{sortLabels[props.sortBy as SortOption] || t('Sort')}</span>
</DropdownMenuTrigger>
<DropdownMenuContent align='end' className='w-44'>
{Object.entries(sortLabels).map(([value, label]) => (
<DropdownMenuItem
key={value}
onClick={() => props.onSortChange(value)}
className='gap-2'
>
<Check
className={cn(
'size-4 shrink-0',
props.sortBy === value ? 'opacity-100' : 'opacity-0'
)}
/>
{label}
</DropdownMenuItem>
))}
</DropdownMenuContent>
</DropdownMenu>
<SegmentedControl
options={[
{
value: VIEW_MODES.CARD,
icon: Grid2X2,
tooltip: t('Card view'),
},
{
value: VIEW_MODES.TABLE,
icon: Table2,
tooltip: t('Table view'),
},
]}
value={props.viewMode}
onChange={handleViewModeChange}
ariaLabel={t('View mode')}
/>
</div>
</div>
<Sheet open={mobileFiltersOpen} onOpenChange={setMobileFiltersOpen}>
<SheetContent
side='right'
className={sideDrawerContentClassName('sm:max-w-md')}
>
<SheetHeader className={sideDrawerHeaderClassName()}>
<SheetTitle>{t('Filter')}</SheetTitle>
<SheetDescription>
{t('Filter models by provider, group, type, endpoint, and tags.')}
</SheetDescription>
</SheetHeader>
<div className={sideDrawerFormClassName('gap-0')}>
<PricingSidebar
quotaTypeFilter={props.quotaTypeFilter}
endpointTypeFilter={props.endpointTypeFilter}
vendorFilter={props.vendorFilter}
groupFilter={props.groupFilter}
tagFilter={props.tagFilter}
onQuotaTypeChange={props.onQuotaTypeChange}
onEndpointTypeChange={props.onEndpointTypeChange}
onVendorChange={props.onVendorChange}
onGroupChange={props.onGroupChange}
onTagChange={props.onTagChange}
vendors={props.vendors}
groups={props.groups}
groupRatios={props.groupRatios}
tags={props.tags}
models={props.models}
hasActiveFilters={props.hasActiveFilters}
onClearFilters={props.onClearFilters}
className='border-0 bg-transparent p-0 shadow-none'
/>
</div>
</SheetContent>
</Sheet>
</div>
)
}
+88
View File
@@ -0,0 +1,88 @@
/*
Copyright (C) 2023-2026 QuantumNous
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
For commercial licensing, please contact support@quantumnous.com
*/
import { Search, X } from 'lucide-react'
import { useEffect, useRef } from 'react'
import { useTranslation } from 'react-i18next'
import { Button } from '@/components/ui/button'
import { cn } from '@/lib/utils'
export interface SearchBarProps {
value: string
onChange: (value: string) => void
onClear: () => void
placeholder?: string
className?: string
}
export function SearchBar(props: SearchBarProps) {
const { t } = useTranslation()
const inputRef = useRef<HTMLInputElement>(null)
useEffect(() => {
function handleKeyDown(e: KeyboardEvent) {
if ((e.metaKey || e.ctrlKey) && e.key === 'k') {
e.preventDefault()
inputRef.current?.focus()
}
if (e.key === 'Escape' && document.activeElement === inputRef.current) {
inputRef.current?.blur()
}
}
document.addEventListener('keydown', handleKeyDown)
return () => document.removeEventListener('keydown', handleKeyDown)
}, [])
return (
<div className={cn('relative', props.className)}>
<Search className='text-muted-foreground/60 pointer-events-none absolute top-1/2 left-3.5 size-4 -translate-y-1/2' />
<input
ref={inputRef}
type='text'
placeholder={props.placeholder || t('Search models...')}
value={props.value}
onChange={(e) => props.onChange(e.target.value)}
className={cn(
'border-border/60 bg-background placeholder:text-muted-foreground/50',
'hover:border-border',
'focus:border-primary/50 focus:ring-primary/20 focus:ring-2',
'h-10 w-full rounded-lg border pr-16 pl-10 text-sm transition-all outline-none'
)}
aria-label={t('Search models')}
/>
<div className='absolute top-1/2 right-2.5 flex -translate-y-1/2 items-center gap-1'>
{props.value ? (
<Button
variant='ghost'
size='icon'
onClick={props.onClear}
className='text-muted-foreground/60 hover:text-foreground size-7'
aria-label={t('Clear search')}
>
<X className='size-4' />
</Button>
) : (
<kbd className='bg-muted text-muted-foreground pointer-events-none hidden rounded border px-1.5 py-0.5 font-mono text-[10px] sm:inline-block'>
K
</kbd>
)}
</div>
</div>
)
}