feat: 添加 built in tools 计费前端显示
This commit is contained in:
@@ -361,11 +361,12 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
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// openai web search 工具计费
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var dWebSearchQuota decimal.Decimal
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var webSearchPrice float64
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if relayInfo.ResponsesUsageInfo != nil {
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if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists && webSearchTool.CallCount > 0 {
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priceWebSearchPerThousandCalls := operation_setting.GetWebSearchPricePerThousand(modelName, webSearchTool.SearchContextSize)
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// 计算 web search 调用的配额 (配额 = 价格 * 调用次数 / 1000)
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dWebSearchQuota = decimal.NewFromFloat(priceWebSearchPerThousandCalls).
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webSearchPrice = operation_setting.GetWebSearchPricePerThousand(modelName, webSearchTool.SearchContextSize)
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dWebSearchQuota = decimal.NewFromFloat(webSearchPrice).
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Mul(decimal.NewFromInt(int64(webSearchTool.CallCount))).
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Div(decimal.NewFromInt(1000))
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extraContent += fmt.Sprintf("Web Search 调用 %d 次,上下文大小 %s,调用花费 $%s",
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@@ -374,9 +375,11 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
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}
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// file search tool 计费
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var dFileSearchQuota decimal.Decimal
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var fileSearchPrice float64
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if relayInfo.ResponsesUsageInfo != nil {
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if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists && fileSearchTool.CallCount > 0 {
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dFileSearchQuota = decimal.NewFromFloat(operation_setting.GetFileSearchPricePerThousand()).
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fileSearchPrice = operation_setting.GetFileSearchPricePerThousand()
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dFileSearchQuota = decimal.NewFromFloat(fileSearchPrice).
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Mul(decimal.NewFromInt(int64(fileSearchTool.CallCount))).
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Div(decimal.NewFromInt(1000))
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extraContent += fmt.Sprintf("File Search 调用 %d 次,调用花费 $%s",
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@@ -463,13 +466,14 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
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if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists {
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other["web_search"] = true
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other["web_search_call_count"] = webSearchTool.CallCount
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other["web_search_context_size"] = webSearchTool.SearchContextSize
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other["web_search_price"] = webSearchPrice
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}
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}
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if !dFileSearchQuota.IsZero() && relayInfo.ResponsesUsageInfo != nil {
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if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists {
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other["file_search"] = true
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other["file_search_call_count"] = fileSearchTool.CallCount
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other["file_search_price"] = fileSearchPrice
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}
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}
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model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, promptTokens, completionTokens, logModel,
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@@ -618,7 +618,6 @@ const LogsTable = () => {
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</Paragraph>
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);
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}
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let content = other?.claude
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? renderClaudeModelPriceSimple(
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other.model_ratio,
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@@ -935,6 +934,13 @@ const LogsTable = () => {
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other.model_price,
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other.group_ratio,
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other?.user_group_ratio,
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false,
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1.0,
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undefined,
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other.web_search || false,
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other.web_search_call_count || 0,
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other.file_search || false,
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other.file_search_call_count || 0,
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),
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});
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}
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@@ -995,6 +1001,12 @@ const LogsTable = () => {
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other?.image || false,
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other?.image_ratio || 0,
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other?.image_output || 0,
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other?.web_search || false,
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other?.web_search_call_count || 0,
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other?.web_search_price || 0,
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other?.file_search || false,
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other?.file_search_call_count || 0,
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other?.file_search_price || 0,
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);
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}
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expandDataLocal.push({
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@@ -317,6 +317,12 @@ export function renderModelPrice(
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image = false,
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imageRatio = 1.0,
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imageOutputTokens = 0,
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webSearch = false,
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webSearchCallCount = 0,
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webSearchPrice = 0,
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fileSearch = false,
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fileSearchCallCount = 0,
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fileSearchPrice = 0,
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) {
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if (modelPrice !== -1) {
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return i18next.t(
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@@ -339,14 +345,17 @@ export function renderModelPrice(
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// Calculate effective input tokens (non-cached + cached with ratio applied)
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let effectiveInputTokens =
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inputTokens - cacheTokens + cacheTokens * cacheRatio;
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// Handle image tokens if present
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// Handle image tokens if present
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if (image && imageOutputTokens > 0) {
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effectiveInputTokens = inputTokens - imageOutputTokens + imageOutputTokens * imageRatio;
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effectiveInputTokens =
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inputTokens - imageOutputTokens + imageOutputTokens * imageRatio;
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}
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let price =
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(effectiveInputTokens / 1000000) * inputRatioPrice * groupRatio +
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(completionTokens / 1000000) * completionRatioPrice * groupRatio;
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(completionTokens / 1000000) * completionRatioPrice * groupRatio +
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(webSearchCallCount / 1000) * webSearchPrice +
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(fileSearchCallCount / 1000) * fileSearchPrice;
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return (
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<>
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@@ -391,9 +400,23 @@ export function renderModelPrice(
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)}
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</p>
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)}
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{webSearch && webSearchCallCount > 0 && (
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<p>
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{i18next.t('Web搜索价格:${{price}} / 1K 次', {
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price: webSearchPrice,
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})}
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</p>
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)}
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{fileSearch && fileSearchCallCount > 0 && (
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<p>
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{i18next.t('文件搜索价格:${{price}} / 1K 次', {
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price: fileSearchPrice,
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})}
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</p>
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)}
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<p></p>
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<p>
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{cacheTokens > 0 && !image
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{cacheTokens > 0 && !image && !webSearch && !fileSearch
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? i18next.t(
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'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}}',
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{
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@@ -407,31 +430,75 @@ export function renderModelPrice(
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total: price.toFixed(6),
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},
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)
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: image && imageOutputTokens > 0
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? i18next.t(
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'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}}',
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{
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nonImageInput: inputTokens - imageOutputTokens,
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imageInput: imageOutputTokens,
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imageRatio: imageRatio,
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price: inputRatioPrice,
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completion: completionTokens,
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compPrice: completionRatioPrice,
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ratio: groupRatio,
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total: price.toFixed(6),
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},
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)
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: i18next.t(
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'输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
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{
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input: inputTokens,
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price: inputRatioPrice,
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completion: completionTokens,
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compPrice: completionRatioPrice,
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ratio: groupRatio,
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total: price.toFixed(6),
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},
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)}
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: image && imageOutputTokens > 0 && !webSearch && !fileSearch
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? i18next.t(
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'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}}',
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{
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nonImageInput: inputTokens - imageOutputTokens,
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imageInput: imageOutputTokens,
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imageRatio: imageRatio,
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price: inputRatioPrice,
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completion: completionTokens,
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compPrice: completionRatioPrice,
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ratio: groupRatio,
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total: price.toFixed(6),
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},
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)
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: webSearch && webSearchCallCount > 0 && !image && !fileSearch
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? i18next.t(
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'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}} = ${{total}}',
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{
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input: inputTokens,
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price: inputRatioPrice,
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completion: completionTokens,
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compPrice: completionRatioPrice,
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ratio: groupRatio,
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webSearchCallCount,
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webSearchPrice,
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total: price.toFixed(6),
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},
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)
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: fileSearch && fileSearchCallCount > 0 && !image && !webSearch
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? i18next.t(
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'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}} = ${{total}}',
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{
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input: inputTokens,
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price: inputRatioPrice,
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completion: completionTokens,
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compPrice: completionRatioPrice,
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ratio: groupRatio,
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fileSearchCallCount,
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fileSearchPrice,
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total: price.toFixed(6),
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},
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)
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: webSearch && webSearchCallCount > 0 && fileSearch && fileSearchCallCount > 0 && !image
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? i18next.t(
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'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}} + 文件搜索 {{fileSearchCallCount}}次 / 1K 次 * ${{fileSearchPrice}} = ${{total}}',
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{
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input: inputTokens,
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price: inputRatioPrice,
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completion: completionTokens,
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compPrice: completionRatioPrice,
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ratio: groupRatio,
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webSearchCallCount,
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webSearchPrice,
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fileSearchCallCount,
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fileSearchPrice,
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total: price.toFixed(6),
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},
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)
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: i18next.t(
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'输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
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{
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input: inputTokens,
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price: inputRatioPrice,
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completion: completionTokens,
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compPrice: completionRatioPrice,
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ratio: groupRatio,
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total: price.toFixed(6),
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},
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)}
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</p>
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<p>{i18next.t('仅供参考,以实际扣费为准')}</p>
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</article>
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@@ -448,33 +515,56 @@ export function renderLogContent(
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user_group_ratio,
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image = false,
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imageRatio = 1.0,
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useUserGroupRatio = undefined
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useUserGroupRatio = undefined,
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webSearch = false,
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webSearchCallCount = 0,
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fileSearch = false,
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fileSearchCallCount = 0,
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) {
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const ratioLabel = useUserGroupRatio ? i18next.t('专属倍率') : i18next.t('分组倍率');
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const ratioLabel = useUserGroupRatio
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? i18next.t('专属倍率')
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: i18next.t('分组倍率');
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const ratio = useUserGroupRatio ? user_group_ratio : groupRatio;
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if (modelPrice !== -1) {
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return i18next.t('模型价格 ${{price}},{{ratioType}} {{ratio}}', {
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price: modelPrice,
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ratioType: ratioLabel,
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ratio
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ratio,
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});
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} else {
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if (image) {
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return i18next.t('模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},图片输入倍率 {{imageRatio}},{{ratioType}} {{ratio}}', {
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modelRatio: modelRatio,
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completionRatio: completionRatio,
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imageRatio: imageRatio,
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ratioType: ratioLabel,
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ratio
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});
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return i18next.t(
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'模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},图片输入倍率 {{imageRatio}},{{ratioType}} {{ratio}}',
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{
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modelRatio: modelRatio,
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completionRatio: completionRatio,
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imageRatio: imageRatio,
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ratioType: ratioLabel,
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ratio,
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},
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);
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} else if (webSearch) {
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return i18next.t(
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'模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},{{ratioType}} {{ratio}},Web 搜索调用 {{webSearchCallCount}} 次',
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{
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modelRatio: modelRatio,
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completionRatio: completionRatio,
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ratioType: ratioLabel,
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ratio,
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webSearchCallCount,
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},
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);
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} else {
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return i18next.t('模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},{{ratioType}} {{ratio}}', {
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modelRatio: modelRatio,
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completionRatio: completionRatio,
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ratioType: ratioLabel,
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ratio
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});
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return i18next.t(
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'模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},{{ratioType}} {{ratio}}',
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{
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modelRatio: modelRatio,
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completionRatio: completionRatio,
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ratioType: ratioLabel,
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ratio,
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},
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);
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}
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}
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}
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