Merge branch 'gemini-audio-billing' into alpha
This commit is contained in:
@@ -44,18 +44,18 @@ import {
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// 侧边栏图标颜色映射
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export const sidebarIconColors = {
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dashboard: "#4F46E5", // 紫蓝色
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terminal: "#10B981", // 绿色
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message: "#06B6D4", // 青色
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key: "#3B82F6", // 蓝色
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chart: "#8B5CF6", // 紫色
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image: "#EC4899", // 粉色
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check: "#F59E0B", // 琥珀色
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credit: "#F97316", // 橙色
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layers: "#EF4444", // 红色
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gift: "#F43F5E", // 玫红色
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user: "#6366F1", // 靛蓝色
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settings: "#6B7280", // 灰色
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dashboard: '#4F46E5', // 紫蓝色
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terminal: '#10B981', // 绿色
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message: '#06B6D4', // 青色
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key: '#3B82F6', // 蓝色
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chart: '#8B5CF6', // 紫色
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image: '#EC4899', // 粉色
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check: '#F59E0B', // 琥珀色
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credit: '#F97316', // 橙色
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layers: '#EF4444', // 红色
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gift: '#F43F5E', // 玫红色
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user: '#6366F1', // 靛蓝色
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settings: '#6B7280', // 灰色
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};
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// 获取侧边栏Lucide图标组件
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@@ -71,32 +71,97 @@ export function getLucideIcon(key, selected = false) {
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// 根据不同的key返回不同的图标
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switch (key) {
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case 'detail':
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return <LayoutDashboard {...commonProps} color={selected ? sidebarIconColors.dashboard : 'currentColor'} />;
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return (
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<LayoutDashboard
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{...commonProps}
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color={selected ? sidebarIconColors.dashboard : 'currentColor'}
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/>
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);
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case 'playground':
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return <TerminalSquare {...commonProps} color={selected ? sidebarIconColors.terminal : 'currentColor'} />;
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return (
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<TerminalSquare
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{...commonProps}
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color={selected ? sidebarIconColors.terminal : 'currentColor'}
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/>
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);
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case 'chat':
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return <MessageSquare {...commonProps} color={selected ? sidebarIconColors.message : 'currentColor'} />;
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return (
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<MessageSquare
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{...commonProps}
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color={selected ? sidebarIconColors.message : 'currentColor'}
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/>
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);
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case 'token':
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return <Key {...commonProps} color={selected ? sidebarIconColors.key : 'currentColor'} />;
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return (
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<Key
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{...commonProps}
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color={selected ? sidebarIconColors.key : 'currentColor'}
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/>
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);
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case 'log':
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return <BarChart3 {...commonProps} color={selected ? sidebarIconColors.chart : 'currentColor'} />;
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return (
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<BarChart3
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{...commonProps}
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color={selected ? sidebarIconColors.chart : 'currentColor'}
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/>
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);
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case 'midjourney':
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return <ImageIcon {...commonProps} color={selected ? sidebarIconColors.image : 'currentColor'} />;
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return (
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<ImageIcon
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{...commonProps}
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color={selected ? sidebarIconColors.image : 'currentColor'}
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/>
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);
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case 'task':
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return <CheckSquare {...commonProps} color={selected ? sidebarIconColors.check : 'currentColor'} />;
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return (
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<CheckSquare
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{...commonProps}
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color={selected ? sidebarIconColors.check : 'currentColor'}
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/>
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);
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case 'topup':
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return <CreditCard {...commonProps} color={selected ? sidebarIconColors.credit : 'currentColor'} />;
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return (
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<CreditCard
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{...commonProps}
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color={selected ? sidebarIconColors.credit : 'currentColor'}
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/>
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);
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case 'channel':
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return <Layers {...commonProps} color={selected ? sidebarIconColors.layers : 'currentColor'} />;
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return (
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<Layers
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{...commonProps}
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color={selected ? sidebarIconColors.layers : 'currentColor'}
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/>
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);
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case 'redemption':
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return <Gift {...commonProps} color={selected ? sidebarIconColors.gift : 'currentColor'} />;
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return (
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<Gift
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{...commonProps}
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color={selected ? sidebarIconColors.gift : 'currentColor'}
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/>
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);
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case 'user':
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case 'personal':
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return <User {...commonProps} color={selected ? sidebarIconColors.user : 'currentColor'} />;
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return (
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<User
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{...commonProps}
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color={selected ? sidebarIconColors.user : 'currentColor'}
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/>
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);
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case 'setting':
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return <Settings {...commonProps} color={selected ? sidebarIconColors.settings : 'currentColor'} />;
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return (
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<Settings
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{...commonProps}
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color={selected ? sidebarIconColors.settings : 'currentColor'}
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/>
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);
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default:
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return <CircleUser {...commonProps} color={selected ? sidebarIconColors.user : 'currentColor'} />;
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return (
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<CircleUser
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{...commonProps}
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color={selected ? sidebarIconColors.user : 'currentColor'}
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/>
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);
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}
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}
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@@ -115,12 +180,13 @@ export const getModelCategories = (() => {
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all: {
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label: t('全部模型'),
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icon: null,
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filter: () => true
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filter: () => true,
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},
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openai: {
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label: 'OpenAI',
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icon: <OpenAI />,
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filter: (model) => model.model_name.toLowerCase().includes('gpt') ||
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filter: (model) =>
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model.model_name.toLowerCase().includes('gpt') ||
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model.model_name.toLowerCase().includes('dall-e') ||
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model.model_name.toLowerCase().includes('whisper') ||
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model.model_name.toLowerCase().includes('tts') ||
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@@ -131,109 +197,110 @@ export const getModelCategories = (() => {
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model.model_name.toLowerCase().includes('ada') ||
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model.model_name.toLowerCase().includes('o1') ||
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model.model_name.toLowerCase().includes('o3') ||
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model.model_name.toLowerCase().includes('o4')
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model.model_name.toLowerCase().includes('o4'),
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},
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anthropic: {
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label: 'Anthropic',
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icon: <Claude.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('claude')
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filter: (model) => model.model_name.toLowerCase().includes('claude'),
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},
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gemini: {
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label: 'Gemini',
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icon: <Gemini.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('gemini')
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filter: (model) => model.model_name.toLowerCase().includes('gemini'),
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},
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moonshot: {
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label: 'Moonshot',
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icon: <Moonshot />,
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filter: (model) => model.model_name.toLowerCase().includes('moonshot')
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filter: (model) => model.model_name.toLowerCase().includes('moonshot'),
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},
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zhipu: {
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label: t('智谱'),
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icon: <Zhipu.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('chatglm') ||
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model.model_name.toLowerCase().includes('glm-')
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filter: (model) =>
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model.model_name.toLowerCase().includes('chatglm') ||
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model.model_name.toLowerCase().includes('glm-'),
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},
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qwen: {
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label: t('通义千问'),
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icon: <Qwen.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('qwen')
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filter: (model) => model.model_name.toLowerCase().includes('qwen'),
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},
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deepseek: {
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label: 'DeepSeek',
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icon: <DeepSeek.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('deepseek')
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filter: (model) => model.model_name.toLowerCase().includes('deepseek'),
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},
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minimax: {
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label: 'MiniMax',
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icon: <Minimax.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('abab')
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filter: (model) => model.model_name.toLowerCase().includes('abab'),
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},
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baidu: {
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label: t('文心一言'),
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icon: <Wenxin.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('ernie')
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filter: (model) => model.model_name.toLowerCase().includes('ernie'),
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},
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xunfei: {
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label: t('讯飞星火'),
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icon: <Spark.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('spark')
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filter: (model) => model.model_name.toLowerCase().includes('spark'),
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},
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midjourney: {
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label: 'Midjourney',
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icon: <Midjourney />,
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filter: (model) => model.model_name.toLowerCase().includes('mj_')
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filter: (model) => model.model_name.toLowerCase().includes('mj_'),
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},
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tencent: {
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label: t('腾讯混元'),
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icon: <Hunyuan.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('hunyuan')
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filter: (model) => model.model_name.toLowerCase().includes('hunyuan'),
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},
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cohere: {
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label: 'Cohere',
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icon: <Cohere.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('command')
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filter: (model) => model.model_name.toLowerCase().includes('command'),
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},
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cloudflare: {
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label: 'Cloudflare',
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icon: <Cloudflare.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('@cf/')
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filter: (model) => model.model_name.toLowerCase().includes('@cf/'),
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},
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ai360: {
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label: t('360智脑'),
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icon: <Ai360.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('360')
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filter: (model) => model.model_name.toLowerCase().includes('360'),
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},
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yi: {
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label: t('零一万物'),
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icon: <Yi.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('yi')
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filter: (model) => model.model_name.toLowerCase().includes('yi'),
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},
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jina: {
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label: 'Jina',
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icon: <Jina />,
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filter: (model) => model.model_name.toLowerCase().includes('jina')
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filter: (model) => model.model_name.toLowerCase().includes('jina'),
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},
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mistral: {
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label: 'Mistral AI',
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icon: <Mistral.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('mistral')
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filter: (model) => model.model_name.toLowerCase().includes('mistral'),
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},
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xai: {
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label: 'xAI',
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icon: <XAI />,
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filter: (model) => model.model_name.toLowerCase().includes('grok')
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filter: (model) => model.model_name.toLowerCase().includes('grok'),
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},
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llama: {
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label: 'Llama',
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icon: <Ollama />,
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filter: (model) => model.model_name.toLowerCase().includes('llama')
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filter: (model) => model.model_name.toLowerCase().includes('llama'),
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},
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doubao: {
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label: t('豆包'),
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icon: <Doubao.Color />,
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filter: (model) => model.model_name.toLowerCase().includes('doubao')
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}
|
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filter: (model) => model.model_name.toLowerCase().includes('doubao'),
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},
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};
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lastLocale = currentLocale;
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@@ -376,7 +443,13 @@ export function stringToColor(str) {
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// 渲染带有模型图标的标签
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export function renderModelTag(modelName, options = {}) {
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const { color, size = 'large', shape = 'circle', onClick, suffixIcon } = options;
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const {
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color,
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size = 'large',
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shape = 'circle',
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onClick,
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suffixIcon,
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} = options;
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const categories = getModelCategories(i18next.t);
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let icon = null;
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@@ -724,6 +797,9 @@ export function renderModelPrice(
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fileSearch = false,
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fileSearchCallCount = 0,
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fileSearchPrice = 0,
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audioInputSeperatePrice = false,
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audioInputTokens = 0,
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audioInputPrice = 0,
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) {
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if (modelPrice !== -1) {
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return i18next.t(
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@@ -751,9 +827,12 @@ export function renderModelPrice(
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effectiveInputTokens =
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inputTokens - imageOutputTokens + imageOutputTokens * imageRatio;
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}
|
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|
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if (audioInputTokens > 0) {
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effectiveInputTokens -= audioInputTokens;
|
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}
|
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let price =
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(effectiveInputTokens / 1000000) * inputRatioPrice * groupRatio +
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(audioInputTokens / 1000000) * audioInputPrice * groupRatio +
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(completionTokens / 1000000) * completionRatioPrice * groupRatio +
|
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(webSearchCallCount / 1000) * webSearchPrice * groupRatio +
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(fileSearchCallCount / 1000) * fileSearchPrice * groupRatio;
|
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@@ -762,8 +841,11 @@ export function renderModelPrice(
|
||||
<>
|
||||
<article>
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<p>
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{i18next.t('输入价格:${{price}} / 1M tokens', {
|
||||
{i18next.t('输入价格:${{price}} / 1M tokens{{audioPrice}}', {
|
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price: inputRatioPrice,
|
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audioPrice: audioInputSeperatePrice
|
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? `,音频 $${audioInputPrice} / 1M tokens`
|
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: '',
|
||||
})}
|
||||
</p>
|
||||
<p>
|
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@@ -817,96 +899,93 @@ export function renderModelPrice(
|
||||
)}
|
||||
<p></p>
|
||||
<p>
|
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{cacheTokens > 0 && !image && !webSearch && !fileSearch
|
||||
? i18next.t(
|
||||
'输入 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{
|
||||
nonCacheInput: inputTokens - cacheTokens,
|
||||
cacheInput: cacheTokens,
|
||||
cachePrice: inputRatioPrice * cacheRatio,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
: image && imageOutputTokens > 0 && !webSearch && !fileSearch
|
||||
? i18next.t(
|
||||
'输入 {{nonImageInput}} tokens + 图片输入 {{imageInput}} tokens * {{imageRatio}} / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{(() => {
|
||||
// 构建输入部分描述
|
||||
let inputDesc = '';
|
||||
if (image && imageOutputTokens > 0) {
|
||||
inputDesc = i18next.t(
|
||||
'(输入 {{nonImageInput}} tokens + 图片输入 {{imageInput}} tokens * {{imageRatio}} / 1M tokens * ${{price}}',
|
||||
{
|
||||
nonImageInput: inputTokens - imageOutputTokens,
|
||||
imageInput: imageOutputTokens,
|
||||
imageRatio: imageRatio,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
: webSearch && webSearchCallCount > 0 && !image && !fileSearch
|
||||
);
|
||||
} else if (cacheTokens > 0) {
|
||||
inputDesc = i18next.t(
|
||||
'(输入 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}}',
|
||||
{
|
||||
nonCacheInput: inputTokens - cacheTokens,
|
||||
cacheInput: cacheTokens,
|
||||
price: inputRatioPrice,
|
||||
cachePrice: cacheRatioPrice,
|
||||
},
|
||||
);
|
||||
} else if (audioInputSeperatePrice && audioInputTokens > 0) {
|
||||
inputDesc = i18next.t(
|
||||
'(输入 {{nonAudioInput}} tokens / 1M tokens * ${{price}} + 音频输入 {{audioInput}} tokens / 1M tokens * ${{audioPrice}}',
|
||||
{
|
||||
nonAudioInput: inputTokens - audioInputTokens,
|
||||
audioInput: audioInputTokens,
|
||||
price: inputRatioPrice,
|
||||
audioPrice: audioInputPrice,
|
||||
},
|
||||
);
|
||||
} else {
|
||||
inputDesc = i18next.t(
|
||||
'(输入 {{input}} tokens / 1M tokens * ${{price}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
// 构建输出部分描述
|
||||
const outputDesc = i18next.t(
|
||||
'输出 {{completion}} tokens / 1M tokens * ${{compPrice}}) * 分组倍率 {{ratio}}',
|
||||
{
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
},
|
||||
);
|
||||
|
||||
// 构建额外服务描述
|
||||
const extraServices = [
|
||||
webSearch && webSearchCallCount > 0
|
||||
? i18next.t(
|
||||
'输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} + Web搜索 {{webSearchCallCount}}次 / 1K 次 * ${{webSearchPrice}} * {{ratio}} = ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
webSearchCallCount,
|
||||
webSearchPrice,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
: fileSearch &&
|
||||
fileSearchCallCount > 0 &&
|
||||
!image &&
|
||||
!webSearch
|
||||
? i18next.t(
|
||||
'输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} + 文件搜索 {{fileSearchCallCount}}次 / 1K 次 * ${{fileSearchPrice}} * {{ratio}}= ${{total}}',
|
||||
' + Web搜索 {{count}}次 / 1K 次 * ${{price}} * 分组倍率 {{ratio}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
count: webSearchCallCount,
|
||||
price: webSearchPrice,
|
||||
ratio: groupRatio,
|
||||
fileSearchCallCount,
|
||||
fileSearchPrice,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
: webSearch &&
|
||||
webSearchCallCount > 0 &&
|
||||
fileSearch &&
|
||||
fileSearchCallCount > 0 &&
|
||||
!image
|
||||
? i18next.t(
|
||||
'输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} + Web搜索 {{webSearchCallCount}}次 / 1K 次 * ${{webSearchPrice}} * {{ratio}}+ 文件搜索 {{fileSearchCallCount}}次 / 1K 次 * ${{fileSearchPrice}} * {{ratio}}= ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
webSearchCallCount,
|
||||
webSearchPrice,
|
||||
fileSearchCallCount,
|
||||
fileSearchPrice,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
: i18next.t(
|
||||
'输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)}
|
||||
: '',
|
||||
fileSearch && fileSearchCallCount > 0
|
||||
? i18next.t(
|
||||
' + 文件搜索 {{count}}次 / 1K 次 * ${{price}} * 分组倍率 {{ratio}}',
|
||||
{
|
||||
count: fileSearchCallCount,
|
||||
price: fileSearchPrice,
|
||||
ratio: groupRatio,
|
||||
},
|
||||
)
|
||||
: '',
|
||||
].join('');
|
||||
|
||||
return i18next.t(
|
||||
'{{inputDesc}} + {{outputDesc}}{{extraServices}} = ${{total}}',
|
||||
{
|
||||
inputDesc,
|
||||
outputDesc,
|
||||
extraServices,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
);
|
||||
})()}
|
||||
</p>
|
||||
<p>{i18next.t('仅供参考,以实际扣费为准')}</p>
|
||||
</article>
|
||||
@@ -1077,10 +1156,10 @@ export function renderAudioModelPrice(
|
||||
let audioPrice =
|
||||
(audioInputTokens / 1000000) * inputRatioPrice * audioRatio * groupRatio +
|
||||
(audioCompletionTokens / 1000000) *
|
||||
inputRatioPrice *
|
||||
audioRatio *
|
||||
audioCompletionRatio *
|
||||
groupRatio;
|
||||
inputRatioPrice *
|
||||
audioRatio *
|
||||
audioCompletionRatio *
|
||||
groupRatio;
|
||||
let price = textPrice + audioPrice;
|
||||
return (
|
||||
<>
|
||||
@@ -1136,27 +1215,27 @@ export function renderAudioModelPrice(
|
||||
<p>
|
||||
{cacheTokens > 0
|
||||
? i18next.t(
|
||||
'文字提示 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}} + 文字补全 {{completion}} tokens / 1M tokens * ${{compPrice}} = ${{total}}',
|
||||
{
|
||||
nonCacheInput: inputTokens - cacheTokens,
|
||||
cacheInput: cacheTokens,
|
||||
cachePrice: inputRatioPrice * cacheRatio,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
total: textPrice.toFixed(6),
|
||||
},
|
||||
)
|
||||
'文字提示 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}} + 文字补全 {{completion}} tokens / 1M tokens * ${{compPrice}} = ${{total}}',
|
||||
{
|
||||
nonCacheInput: inputTokens - cacheTokens,
|
||||
cacheInput: cacheTokens,
|
||||
cachePrice: inputRatioPrice * cacheRatio,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
total: textPrice.toFixed(6),
|
||||
},
|
||||
)
|
||||
: i18next.t(
|
||||
'文字提示 {{input}} tokens / 1M tokens * ${{price}} + 文字补全 {{completion}} tokens / 1M tokens * ${{compPrice}} = ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
total: textPrice.toFixed(6),
|
||||
},
|
||||
)}
|
||||
'文字提示 {{input}} tokens / 1M tokens * ${{price}} + 文字补全 {{completion}} tokens / 1M tokens * ${{compPrice}} = ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
total: textPrice.toFixed(6),
|
||||
},
|
||||
)}
|
||||
</p>
|
||||
<p>
|
||||
{i18next.t(
|
||||
@@ -1293,33 +1372,33 @@ export function renderClaudeModelPrice(
|
||||
<p>
|
||||
{cacheTokens > 0 || cacheCreationTokens > 0
|
||||
? i18next.t(
|
||||
'提示 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}} + 缓存创建 {{cacheCreationInput}} tokens / 1M tokens * ${{cacheCreationPrice}} + 补全 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{
|
||||
nonCacheInput: nonCachedTokens,
|
||||
cacheInput: cacheTokens,
|
||||
cacheRatio: cacheRatio,
|
||||
cacheCreationInput: cacheCreationTokens,
|
||||
cacheCreationRatio: cacheCreationRatio,
|
||||
cachePrice: cacheRatioPrice,
|
||||
cacheCreationPrice: cacheCreationRatioPrice,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
'提示 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}} + 缓存创建 {{cacheCreationInput}} tokens / 1M tokens * ${{cacheCreationPrice}} + 补全 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{
|
||||
nonCacheInput: nonCachedTokens,
|
||||
cacheInput: cacheTokens,
|
||||
cacheRatio: cacheRatio,
|
||||
cacheCreationInput: cacheCreationTokens,
|
||||
cacheCreationRatio: cacheCreationRatio,
|
||||
cachePrice: cacheRatioPrice,
|
||||
cacheCreationPrice: cacheCreationRatioPrice,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
: i18next.t(
|
||||
'提示 {{input}} tokens / 1M tokens * ${{price}} + 补全 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)}
|
||||
'提示 {{input}} tokens / 1M tokens * ${{price}} + 补全 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
completion: completionTokens,
|
||||
compPrice: completionRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)}
|
||||
</p>
|
||||
<p>{i18next.t('仅供参考,以实际扣费为准')}</p>
|
||||
</article>
|
||||
@@ -1410,7 +1489,9 @@ export function rehypeSplitWordsIntoSpans(options = {}) {
|
||||
|
||||
visit(tree, 'element', (node) => {
|
||||
if (
|
||||
['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li', 'strong'].includes(node.tagName) &&
|
||||
['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li', 'strong'].includes(
|
||||
node.tagName,
|
||||
) &&
|
||||
node.children
|
||||
) {
|
||||
const newChildren = [];
|
||||
@@ -1418,7 +1499,9 @@ export function rehypeSplitWordsIntoSpans(options = {}) {
|
||||
if (child.type === 'text') {
|
||||
try {
|
||||
// 使用 Intl.Segmenter 精准拆分中英文及标点
|
||||
const segmenter = new Intl.Segmenter('zh', { granularity: 'word' });
|
||||
const segmenter = new Intl.Segmenter('zh', {
|
||||
granularity: 'word',
|
||||
});
|
||||
const segments = segmenter.segment(child.value);
|
||||
|
||||
Array.from(segments)
|
||||
@@ -1472,4 +1555,4 @@ export function rehypeSplitWordsIntoSpans(options = {}) {
|
||||
}
|
||||
});
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user