diff --git a/dto/openai_response.go b/dto/openai_response.go index 1508d1f6..790d4df8 100644 --- a/dto/openai_response.go +++ b/dto/openai_response.go @@ -195,28 +195,28 @@ type OutputTokenDetails struct { } type OpenAIResponsesResponse struct { - ID string `json:"id"` - Object string `json:"object"` - CreatedAt int `json:"created_at"` - Status string `json:"status"` - Error *OpenAIError `json:"error,omitempty"` - IncompleteDetails *IncompleteDetails `json:"incomplete_details,omitempty"` - Instructions string `json:"instructions"` - MaxOutputTokens int `json:"max_output_tokens"` - Model string `json:"model"` - Output []ResponsesOutput `json:"output"` - ParallelToolCalls bool `json:"parallel_tool_calls"` - PreviousResponseID string `json:"previous_response_id"` - Reasoning *Reasoning `json:"reasoning"` - Store bool `json:"store"` - Temperature float64 `json:"temperature"` - ToolChoice string `json:"tool_choice"` - Tools []interface{} `json:"tools"` - TopP float64 `json:"top_p"` - Truncation string `json:"truncation"` - Usage *Usage `json:"usage"` - User json.RawMessage `json:"user"` - Metadata json.RawMessage `json:"metadata"` + ID string `json:"id"` + Object string `json:"object"` + CreatedAt int `json:"created_at"` + Status string `json:"status"` + Error *OpenAIError `json:"error,omitempty"` + IncompleteDetails *IncompleteDetails `json:"incomplete_details,omitempty"` + Instructions string `json:"instructions"` + MaxOutputTokens int `json:"max_output_tokens"` + Model string `json:"model"` + Output []ResponsesOutput `json:"output"` + ParallelToolCalls bool `json:"parallel_tool_calls"` + PreviousResponseID string `json:"previous_response_id"` + Reasoning *Reasoning `json:"reasoning"` + Store bool `json:"store"` + Temperature float64 `json:"temperature"` + ToolChoice string `json:"tool_choice"` + Tools []ResponsesToolsCall `json:"tools"` + TopP float64 `json:"top_p"` + Truncation string `json:"truncation"` + Usage *Usage `json:"usage"` + User json.RawMessage `json:"user"` + Metadata json.RawMessage `json:"metadata"` } type IncompleteDetails struct { @@ -238,8 +238,12 @@ type ResponsesOutputContent struct { } const ( - BuildInTools_WebSearch = "web_search_preview" - BuildInTools_FileSearch = "file_search" + BuildInToolWebSearchPreview = "web_search_preview" + BuildInToolFileSearch = "file_search" +) + +const ( + BuildInCallWebSearchCall = "web_search_call" ) const ( @@ -250,6 +254,7 @@ const ( // ResponsesStreamResponse 用于处理 /v1/responses 流式响应 type ResponsesStreamResponse struct { Type string `json:"type"` - Response *OpenAIResponsesResponse `json:"response"` + Response *OpenAIResponsesResponse `json:"response,omitempty"` Delta string `json:"delta,omitempty"` + Item *ResponsesOutput `json:"item,omitempty"` } diff --git a/relay/channel/openai/adaptor.go b/relay/channel/openai/adaptor.go index 7740c498..eb12a22a 100644 --- a/relay/channel/openai/adaptor.go +++ b/relay/channel/openai/adaptor.go @@ -429,7 +429,7 @@ func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycom if info.IsStream { err, usage = OaiResponsesStreamHandler(c, resp, info) } else { - err, usage = OpenaiResponsesHandler(c, resp, info) + err, usage = OaiResponsesHandler(c, resp, info) } default: if info.IsStream { diff --git a/relay/channel/openai/helper.go b/relay/channel/openai/helper.go index e7ba2e7b..a068c544 100644 --- a/relay/channel/openai/helper.go +++ b/relay/channel/openai/helper.go @@ -187,3 +187,10 @@ func handleFinalResponse(c *gin.Context, info *relaycommon.RelayInfo, lastStream } } } + +func sendResponsesStreamData(c *gin.Context, streamResponse dto.ResponsesStreamResponse, data string) { + if data == "" { + return + } + helper.ResponseChunkData(c, streamResponse, data) +} diff --git a/relay/channel/openai/relay-openai.go b/relay/channel/openai/relay-openai.go index ef660564..b9ed94e2 100644 --- a/relay/channel/openai/relay-openai.go +++ b/relay/channel/openai/relay-openai.go @@ -644,102 +644,3 @@ func OpenaiHandlerWithUsage(c *gin.Context, resp *http.Response, info *relaycomm } return nil, &usageResp.Usage } - -func OpenaiResponsesHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) { - // read response body - var responsesResponse dto.OpenAIResponsesResponse - responseBody, err := io.ReadAll(resp.Body) - if err != nil { - return service.OpenAIErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil - } - err = resp.Body.Close() - if err != nil { - return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil - } - err = common.DecodeJson(responseBody, &responsesResponse) - if err != nil { - return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil - } - if responsesResponse.Error != nil { - return &dto.OpenAIErrorWithStatusCode{ - Error: dto.OpenAIError{ - Message: responsesResponse.Error.Message, - Type: "openai_error", - Code: responsesResponse.Error.Code, - }, - StatusCode: resp.StatusCode, - }, nil - } - - // reset response body - resp.Body = io.NopCloser(bytes.NewBuffer(responseBody)) - // We shouldn't set the header before we parse the response body, because the parse part may fail. - // And then we will have to send an error response, but in this case, the header has already been set. - // So the httpClient will be confused by the response. - // For example, Postman will report error, and we cannot check the response at all. - for k, v := range resp.Header { - c.Writer.Header().Set(k, v[0]) - } - c.Writer.WriteHeader(resp.StatusCode) - // copy response body - _, err = io.Copy(c.Writer, resp.Body) - if err != nil { - common.SysError("error copying response body: " + err.Error()) - } - resp.Body.Close() - // compute usage - usage := dto.Usage{} - usage.PromptTokens = responsesResponse.Usage.InputTokens - usage.CompletionTokens = responsesResponse.Usage.OutputTokens - usage.TotalTokens = responsesResponse.Usage.TotalTokens - return nil, &usage -} - -func OaiResponsesStreamHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) { - if resp == nil || resp.Body == nil { - common.LogError(c, "invalid response or response body") - return service.OpenAIErrorWrapper(fmt.Errorf("invalid response"), "invalid_response", http.StatusInternalServerError), nil - } - - var usage = &dto.Usage{} - var responseTextBuilder strings.Builder - - helper.StreamScannerHandler(c, resp, info, func(data string) bool { - - // 检查当前数据是否包含 completed 状态和 usage 信息 - var streamResponse dto.ResponsesStreamResponse - if err := common.DecodeJsonStr(data, &streamResponse); err == nil { - sendResponsesStreamData(c, streamResponse, data) - switch streamResponse.Type { - case "response.completed": - usage.PromptTokens = streamResponse.Response.Usage.InputTokens - usage.CompletionTokens = streamResponse.Response.Usage.OutputTokens - usage.TotalTokens = streamResponse.Response.Usage.TotalTokens - case "response.output_text.delta": - // 处理输出文本 - responseTextBuilder.WriteString(streamResponse.Delta) - - } - } - return true - }) - - if usage.CompletionTokens == 0 { - // 计算输出文本的 token 数量 - tempStr := responseTextBuilder.String() - if len(tempStr) > 0 { - // 非正常结束，使用输出文本的 token 数量 - completionTokens, _ := service.CountTextToken(tempStr, info.UpstreamModelName) - usage.CompletionTokens = completionTokens - } - } - - return nil, usage -} - -func sendResponsesStreamData(c *gin.Context, streamResponse dto.ResponsesStreamResponse, data string) { - if data == "" { - return - } - helper.ResponseChunkData(c, streamResponse, data) -} diff --git a/relay/channel/openai/relay_responses.go b/relay/channel/openai/relay_responses.go new file mode 100644 index 00000000..1d1e060e --- /dev/null +++ b/relay/channel/openai/relay_responses.go @@ -0,0 +1,119 @@ +package openai + +import ( + "bytes" + "fmt" + "io" + "net/http" + "one-api/common" + "one-api/dto" + relaycommon "one-api/relay/common" + "one-api/relay/helper" + "one-api/service" + "strings" + + "github.com/gin-gonic/gin" +) + +func OaiResponsesHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) { + // read response body + var responsesResponse dto.OpenAIResponsesResponse + responseBody, err := io.ReadAll(resp.Body) + if err != nil { + return service.OpenAIErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil + } + err = resp.Body.Close() + if err != nil { + return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil + } + err = common.DecodeJson(responseBody, &responsesResponse) + if err != nil { + return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil + } + if responsesResponse.Error != nil { + return &dto.OpenAIErrorWithStatusCode{ + Error: dto.OpenAIError{ + Message: responsesResponse.Error.Message, + Type: "openai_error", + Code: responsesResponse.Error.Code, + }, + StatusCode: resp.StatusCode, + }, nil + } + + // reset response body + resp.Body = io.NopCloser(bytes.NewBuffer(responseBody)) + // We shouldn't set the header before we parse the response body, because the parse part may fail. + // And then we will have to send an error response, but in this case, the header has already been set. + // So the httpClient will be confused by the response. + // For example, Postman will report error, and we cannot check the response at all. + for k, v := range resp.Header { + c.Writer.Header().Set(k, v[0]) + } + c.Writer.WriteHeader(resp.StatusCode) + // copy response body + _, err = io.Copy(c.Writer, resp.Body) + if err != nil { + common.SysError("error copying response body: " + err.Error()) + } + resp.Body.Close() + // compute usage + usage := dto.Usage{} + usage.PromptTokens = responsesResponse.Usage.InputTokens + usage.CompletionTokens = responsesResponse.Usage.OutputTokens + usage.TotalTokens = responsesResponse.Usage.TotalTokens + // 解析 Tools 用量 + for _, tool := range responsesResponse.Tools { + info.ResponsesUsageInfo.BuiltInTools[tool.Type].CallCount++ + } + return nil, &usage +} + +func OaiResponsesStreamHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) { + if resp == nil || resp.Body == nil { + common.LogError(c, "invalid response or response body") + return service.OpenAIErrorWrapper(fmt.Errorf("invalid response"), "invalid_response", http.StatusInternalServerError), nil + } + + var usage = &dto.Usage{} + var responseTextBuilder strings.Builder + + helper.StreamScannerHandler(c, resp, info, func(data string) bool { + + // 检查当前数据是否包含 completed 状态和 usage 信息 + var streamResponse dto.ResponsesStreamResponse + if err := common.DecodeJsonStr(data, &streamResponse); err == nil { + sendResponsesStreamData(c, streamResponse, data) + switch streamResponse.Type { + case "response.completed": + usage.PromptTokens = streamResponse.Response.Usage.InputTokens + usage.CompletionTokens = streamResponse.Response.Usage.OutputTokens + usage.TotalTokens = streamResponse.Response.Usage.TotalTokens + case "response.output_text.delta": + // 处理输出文本 + responseTextBuilder.WriteString(streamResponse.Delta) + case dto.ResponsesOutputTypeItemDone: + // 函数调用处理 + if streamResponse.Item != nil { + switch streamResponse.Item.Type { + case dto.BuildInCallWebSearchCall: + info.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview].CallCount++ + } + } + } + } + return true + }) + + if usage.CompletionTokens == 0 { + // 计算输出文本的 token 数量 + tempStr := responseTextBuilder.String() + if len(tempStr) > 0 { + // 非正常结束，使用输出文本的 token 数量 + completionTokens, _ := service.CountTextToken(tempStr, info.UpstreamModelName) + usage.CompletionTokens = completionTokens + } + } + + return nil, usage +} diff --git a/relay/channel/vertex/adaptor.go b/relay/channel/vertex/adaptor.go index c1b64f11..7daf9a61 100644 --- a/relay/channel/vertex/adaptor.go +++ b/relay/channel/vertex/adaptor.go @@ -11,8 +11,8 @@ import ( "one-api/relay/channel/claude" "one-api/relay/channel/gemini" "one-api/relay/channel/openai" - "one-api/setting/model_setting" relaycommon "one-api/relay/common" + "one-api/setting/model_setting" "strings" "github.com/gin-gonic/gin" diff --git a/relay/common/relay_info.go b/relay/common/relay_info.go index 915474e1..99c6d12b 100644 --- a/relay/common/relay_info.go +++ b/relay/common/relay_info.go @@ -36,6 +36,7 @@ type ClaudeConvertInfo struct { const ( RelayFormatOpenAI = "openai" RelayFormatClaude = "claude" + RelayFormatGemini = "gemini" ) type RerankerInfo struct { @@ -43,6 +44,16 @@ type RerankerInfo struct { ReturnDocuments bool } +type BuildInToolInfo struct { + ToolName string + CallCount int + SearchContextSize string +} + +type ResponsesUsageInfo struct { + BuiltInTools map[string]*BuildInToolInfo +} + type RelayInfo struct { ChannelType int ChannelId int @@ -90,6 +101,7 @@ type RelayInfo struct { ThinkingContentInfo *ClaudeConvertInfo *RerankerInfo + *ResponsesUsageInfo } // 定义支持流式选项的通道类型 @@ -134,6 +146,31 @@ func GenRelayInfoRerank(c *gin.Context, req *dto.RerankRequest) *RelayInfo { return info } +func GenRelayInfoResponses(c *gin.Context, req *dto.OpenAIResponsesRequest) *RelayInfo { + info := GenRelayInfo(c) + info.RelayMode = relayconstant.RelayModeResponses + info.ResponsesUsageInfo = &ResponsesUsageInfo{ + BuiltInTools: make(map[string]*BuildInToolInfo), + } + if len(req.Tools) > 0 { + for _, tool := range req.Tools { + info.ResponsesUsageInfo.BuiltInTools[tool.Type] = &BuildInToolInfo{ + ToolName: tool.Type, + CallCount: 0, + } + switch tool.Type { + case dto.BuildInToolWebSearchPreview: + if tool.SearchContextSize == "" { + tool.SearchContextSize = "medium" + } + info.ResponsesUsageInfo.BuiltInTools[tool.Type].SearchContextSize = tool.SearchContextSize + } + } + } + info.IsStream = req.Stream + return info +} + func GenRelayInfo(c *gin.Context) *RelayInfo { channelType := c.GetInt("channel_type") channelId := c.GetInt("channel_id") diff --git a/relay/relay-responses.go b/relay/relay-responses.go index cdb37ae7..fd3ddb5a 100644 --- a/relay/relay-responses.go +++ b/relay/relay-responses.go @@ -19,7 +19,7 @@ import ( "github.com/gin-gonic/gin" ) -func getAndValidateResponsesRequest(c *gin.Context, relayInfo *relaycommon.RelayInfo) (*dto.OpenAIResponsesRequest, error) { +func getAndValidateResponsesRequest(c *gin.Context) (*dto.OpenAIResponsesRequest, error) { request := &dto.OpenAIResponsesRequest{} err := common.UnmarshalBodyReusable(c, request) if err != nil { @@ -31,13 +31,11 @@ func getAndValidateResponsesRequest(c *gin.Context, relayInfo *relaycommon.Relay if len(request.Input) == 0 { return nil, errors.New("input is required") } - relayInfo.IsStream = request.Stream return request, nil } func checkInputSensitive(textRequest *dto.OpenAIResponsesRequest, info *relaycommon.RelayInfo) ([]string, error) { - sensitiveWords, err := service.CheckSensitiveInput(textRequest.Input) return sensitiveWords, err } @@ -49,12 +47,14 @@ func getInputTokens(req *dto.OpenAIResponsesRequest, info *relaycommon.RelayInfo } func ResponsesHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) { - relayInfo := relaycommon.GenRelayInfo(c) - req, err := getAndValidateResponsesRequest(c, relayInfo) + req, err := getAndValidateResponsesRequest(c) if err != nil { common.LogError(c, fmt.Sprintf("getAndValidateResponsesRequest error: %s", err.Error())) return service.OpenAIErrorWrapperLocal(err, "invalid_responses_request", http.StatusBadRequest) } + + relayInfo := relaycommon.GenRelayInfoResponses(c, req) + if setting.ShouldCheckPromptSensitive() { sensitiveWords, err := checkInputSensitive(req, relayInfo) if err != nil { diff --git a/relay/relay-text.go b/relay/relay-text.go index 4fdd435d..89a6a973 100644 --- a/relay/relay-text.go +++ b/relay/relay-text.go @@ -18,6 +18,7 @@ import ( "one-api/service" "one-api/setting" "one-api/setting/model_setting" + "one-api/setting/operation_setting" "strings" "time" @@ -358,6 +359,34 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, ratio := dModelRatio.Mul(dGroupRatio) + // openai web search 工具计费 + var dWebSearchQuota decimal.Decimal + var webSearchPrice float64 + if relayInfo.ResponsesUsageInfo != nil { + if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists && webSearchTool.CallCount > 0 { + // 计算 web search 调用的配额 (配额 = 价格 * 调用次数 / 1000) + webSearchPrice = operation_setting.GetWebSearchPricePerThousand(modelName, webSearchTool.SearchContextSize) + dWebSearchQuota = decimal.NewFromFloat(webSearchPrice). + Mul(decimal.NewFromInt(int64(webSearchTool.CallCount))). + Div(decimal.NewFromInt(1000)) + extraContent += fmt.Sprintf("Web Search 调用 %d 次，上下文大小 %s，调用花费 $%s", + webSearchTool.CallCount, webSearchTool.SearchContextSize, dWebSearchQuota.String()) + } + } + // file search tool 计费 + var dFileSearchQuota decimal.Decimal + var fileSearchPrice float64 + if relayInfo.ResponsesUsageInfo != nil { + if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists && fileSearchTool.CallCount > 0 { + fileSearchPrice = operation_setting.GetFileSearchPricePerThousand() + dFileSearchQuota = decimal.NewFromFloat(fileSearchPrice). + Mul(decimal.NewFromInt(int64(fileSearchTool.CallCount))). + Div(decimal.NewFromInt(1000)) + extraContent += fmt.Sprintf("File Search 调用 %d 次，调用花费 $%s", + fileSearchTool.CallCount, dFileSearchQuota.String()) + } + } + var quotaCalculateDecimal decimal.Decimal if !priceData.UsePrice { nonCachedTokens := dPromptTokens.Sub(dCacheTokens) @@ -380,6 +409,9 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, } else { quotaCalculateDecimal = dModelPrice.Mul(dQuotaPerUnit).Mul(dGroupRatio) } + // 添加 responses tools call 调用的配额 + quotaCalculateDecimal = quotaCalculateDecimal.Add(dWebSearchQuota) + quotaCalculateDecimal = quotaCalculateDecimal.Add(dFileSearchQuota) quota := int(quotaCalculateDecimal.Round(0).IntPart()) totalTokens := promptTokens + completionTokens @@ -430,6 +462,20 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, other["image_ratio"] = imageRatio other["image_output"] = imageTokens } + if !dWebSearchQuota.IsZero() && relayInfo.ResponsesUsageInfo != nil { + if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists { + other["web_search"] = true + other["web_search_call_count"] = webSearchTool.CallCount + other["web_search_price"] = webSearchPrice + } + } + if !dFileSearchQuota.IsZero() && relayInfo.ResponsesUsageInfo != nil { + if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists { + other["file_search"] = true + other["file_search_call_count"] = fileSearchTool.CallCount + other["file_search_price"] = fileSearchPrice + } + } model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, promptTokens, completionTokens, logModel, tokenName, quota, logContent, relayInfo.TokenId, userQuota, int(useTimeSeconds), relayInfo.IsStream, relayInfo.Group, other) } diff --git a/setting/operation_setting/tools.go b/setting/operation_setting/tools.go new file mode 100644 index 00000000..974c4ed2 --- /dev/null +++ b/setting/operation_setting/tools.go @@ -0,0 +1,57 @@ +package operation_setting + +import "strings" + +const ( + // Web search + WebSearchHighTierModelPriceLow = 30.00 + WebSearchHighTierModelPriceMedium = 35.00 + WebSearchHighTierModelPriceHigh = 50.00 + WebSearchPriceLow = 25.00 + WebSearchPriceMedium = 27.50 + WebSearchPriceHigh = 30.00 + // File search + FileSearchPrice = 2.5 +) + +func GetWebSearchPricePerThousand(modelName string, contextSize string) float64 { + // 确定模型类型 + // https://platform.openai.com/docs/pricing Web search 价格按模型类型和 search context size 收费 + // gpt-4.1, gpt-4o, or gpt-4o-search-preview 更贵，gpt-4.1-mini, gpt-4o-mini, gpt-4o-mini-search-preview 更便宜 + isHighTierModel := (strings.HasPrefix(modelName, "gpt-4.1") || strings.HasPrefix(modelName, "gpt-4o")) && + !strings.Contains(modelName, "mini") + // 确定 search context size 对应的价格 + var priceWebSearchPerThousandCalls float64 + switch contextSize { + case "low": + if isHighTierModel { + priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceLow + } else { + priceWebSearchPerThousandCalls = WebSearchPriceLow + } + case "medium": + if isHighTierModel { + priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceMedium + } else { + priceWebSearchPerThousandCalls = WebSearchPriceMedium + } + case "high": + if isHighTierModel { + priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceHigh + } else { + priceWebSearchPerThousandCalls = WebSearchPriceHigh + } + default: + // search context size 默认为 medium + if isHighTierModel { + priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceMedium + } else { + priceWebSearchPerThousandCalls = WebSearchPriceMedium + } + } + return priceWebSearchPerThousandCalls +} + +func GetFileSearchPricePerThousand() float64 { + return FileSearchPrice +} diff --git a/web/src/components/LogsTable.js b/web/src/components/LogsTable.js index 903677eb..6cf7e844 100644 --- a/web/src/components/LogsTable.js +++ b/web/src/components/LogsTable.js @@ -618,7 +618,6 @@ const LogsTable = () => { ); } - let content = other?.claude ? renderClaudeModelPriceSimple( other.model_ratio, @@ -935,6 +934,13 @@ const LogsTable = () => { other.model_price, other.group_ratio, other?.user_group_ratio, + false, + 1.0, + undefined, + other.web_search || false, + other.web_search_call_count || 0, + other.file_search || false, + other.file_search_call_count || 0, ), }); } @@ -995,6 +1001,12 @@ const LogsTable = () => { other?.image || false, other?.image_ratio || 0, other?.image_output || 0, + other?.web_search || false, + other?.web_search_call_count || 0, + other?.web_search_price || 0, + other?.file_search || false, + other?.file_search_call_count || 0, + other?.file_search_price || 0, ); } expandDataLocal.push({ diff --git a/web/src/helpers/render.js b/web/src/helpers/render.js index 7b80da6f..fb4c3dbd 100644 --- a/web/src/helpers/render.js +++ b/web/src/helpers/render.js @@ -317,6 +317,12 @@ export function renderModelPrice( image = false, imageRatio = 1.0, imageOutputTokens = 0, + webSearch = false, + webSearchCallCount = 0, + webSearchPrice = 0, + fileSearch = false, + fileSearchCallCount = 0, + fileSearchPrice = 0, ) { if (modelPrice !== -1) { return i18next.t( @@ -339,14 +345,17 @@ export function renderModelPrice( // Calculate effective input tokens (non-cached + cached with ratio applied) let effectiveInputTokens = inputTokens - cacheTokens + cacheTokens * cacheRatio; -// Handle image tokens if present + // Handle image tokens if present if (image && imageOutputTokens > 0) { - effectiveInputTokens = inputTokens - imageOutputTokens + imageOutputTokens * imageRatio; + effectiveInputTokens = + inputTokens - imageOutputTokens + imageOutputTokens * imageRatio; } let price = (effectiveInputTokens / 1000000) * inputRatioPrice * groupRatio + - (completionTokens / 1000000) * completionRatioPrice * groupRatio; + (completionTokens / 1000000) * completionRatioPrice * groupRatio + + (webSearchCallCount / 1000) * webSearchPrice + + (fileSearchCallCount / 1000) * fileSearchPrice; return ( <> @@ -391,9 +400,23 @@ export function renderModelPrice( )}

)} + {webSearch && webSearchCallCount > 0 && ( +

+ {i18next.t('Web搜索价格：${{price}} / 1K 次', { + price: webSearchPrice, + })} +

+ )} + {fileSearch && fileSearchCallCount > 0 && ( +

+ {i18next.t('文件搜索价格：${{price}} / 1K 次', { + price: fileSearchPrice, + })} +

+ )}

- {cacheTokens > 0 && !image + {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}}', { @@ -407,31 +430,75 @@ export function renderModelPrice( total: price.toFixed(6), }, ) - : image && imageOutputTokens > 0 - ? 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}}', - { - nonImageInput: inputTokens - imageOutputTokens, - imageInput: imageOutputTokens, - imageRatio: imageRatio, - price: inputRatioPrice, - completion: completionTokens, - compPrice: completionRatioPrice, - ratio: groupRatio, - 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), - }, - )} + : 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}}', + { + nonImageInput: inputTokens - imageOutputTokens, + imageInput: imageOutputTokens, + imageRatio: imageRatio, + price: inputRatioPrice, + completion: completionTokens, + compPrice: completionRatioPrice, + ratio: groupRatio, + total: price.toFixed(6), + }, + ) + : webSearch && webSearchCallCount > 0 && !image && !fileSearch + ? 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}} = ${{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}} = ${{total}}', + { + input: inputTokens, + price: inputRatioPrice, + completion: completionTokens, + compPrice: completionRatioPrice, + 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}} + 文件搜索 {{fileSearchCallCount}}次 / 1K 次 * ${{fileSearchPrice}} = ${{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), + }, + )}

{i18next.t('仅供参考，以实际扣费为准')}

@@ -448,33 +515,56 @@ export function renderLogContent( user_group_ratio, image = false, imageRatio = 1.0, - useUserGroupRatio = undefined + useUserGroupRatio = undefined, + webSearch = false, + webSearchCallCount = 0, + fileSearch = false, + fileSearchCallCount = 0, ) { - const ratioLabel = useUserGroupRatio ? i18next.t('专属倍率') : i18next.t('分组倍率'); + const ratioLabel = useUserGroupRatio + ? i18next.t('专属倍率') + : i18next.t('分组倍率'); const ratio = useUserGroupRatio ? user_group_ratio : groupRatio; if (modelPrice !== -1) { return i18next.t('模型价格 ${{price}}，{{ratioType}} {{ratio}}', { price: modelPrice, ratioType: ratioLabel, - ratio + ratio, }); } else { if (image) { - return i18next.t('模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，图片输入倍率 {{imageRatio}}，{{ratioType}} {{ratio}}', { - modelRatio: modelRatio, - completionRatio: completionRatio, - imageRatio: imageRatio, - ratioType: ratioLabel, - ratio - }); + return i18next.t( + '模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，图片输入倍率 {{imageRatio}}，{{ratioType}} {{ratio}}', + { + modelRatio: modelRatio, + completionRatio: completionRatio, + imageRatio: imageRatio, + ratioType: ratioLabel, + ratio, + }, + ); + } else if (webSearch) { + return i18next.t( + '模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，{{ratioType}} {{ratio}}，Web 搜索调用 {{webSearchCallCount}} 次', + { + modelRatio: modelRatio, + completionRatio: completionRatio, + ratioType: ratioLabel, + ratio, + webSearchCallCount, + }, + ); } else { - return i18next.t('模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，{{ratioType}} {{ratio}}', { - modelRatio: modelRatio, - completionRatio: completionRatio, - ratioType: ratioLabel, - ratio - }); + return i18next.t( + '模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，{{ratioType}} {{ratio}}', + { + modelRatio: modelRatio, + completionRatio: completionRatio, + ratioType: ratioLabel, + ratio, + }, + ); } } }