547 lines
20 KiB
Go
547 lines
20 KiB
Go
package relay
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import (
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"bytes"
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"math"
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"net/http"
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"one-api/common"
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"one-api/constant"
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"one-api/dto"
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"one-api/model"
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relaycommon "one-api/relay/common"
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relayconstant "one-api/relay/constant"
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"one-api/relay/helper"
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"one-api/service"
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"one-api/setting"
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"one-api/setting/model_setting"
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"one-api/setting/operation_setting"
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"strings"
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"time"
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"github.com/bytedance/gopkg/util/gopool"
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"github.com/shopspring/decimal"
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"github.com/gin-gonic/gin"
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)
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func getAndValidateTextRequest(c *gin.Context, relayInfo *relaycommon.RelayInfo) (*dto.GeneralOpenAIRequest, error) {
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textRequest := &dto.GeneralOpenAIRequest{}
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err := common.UnmarshalBodyReusable(c, textRequest)
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if err != nil {
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return nil, err
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}
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if relayInfo.RelayMode == relayconstant.RelayModeModerations && textRequest.Model == "" {
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textRequest.Model = "text-moderation-latest"
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}
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if relayInfo.RelayMode == relayconstant.RelayModeEmbeddings && textRequest.Model == "" {
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textRequest.Model = c.Param("model")
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}
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if textRequest.MaxTokens > math.MaxInt32/2 {
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return nil, errors.New("max_tokens is invalid")
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}
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if textRequest.Model == "" {
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return nil, errors.New("model is required")
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}
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if textRequest.WebSearchOptions != nil {
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if textRequest.WebSearchOptions.SearchContextSize != "" {
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validSizes := map[string]bool{
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"high": true,
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"medium": true,
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"low": true,
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}
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if !validSizes[textRequest.WebSearchOptions.SearchContextSize] {
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return nil, errors.New("invalid search_context_size, must be one of: high, medium, low")
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}
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} else {
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textRequest.WebSearchOptions.SearchContextSize = "medium"
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}
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}
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switch relayInfo.RelayMode {
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case relayconstant.RelayModeCompletions:
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if textRequest.Prompt == "" {
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return nil, errors.New("field prompt is required")
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}
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case relayconstant.RelayModeChatCompletions:
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if len(textRequest.Messages) == 0 {
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return nil, errors.New("field messages is required")
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}
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case relayconstant.RelayModeEmbeddings:
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case relayconstant.RelayModeModerations:
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if textRequest.Input == nil || textRequest.Input == "" {
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return nil, errors.New("field input is required")
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}
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case relayconstant.RelayModeEdits:
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if textRequest.Instruction == "" {
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return nil, errors.New("field instruction is required")
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}
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}
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relayInfo.IsStream = textRequest.Stream
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return textRequest, nil
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}
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func TextHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) {
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relayInfo := relaycommon.GenRelayInfo(c)
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// get & validate textRequest 获取并验证文本请求
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textRequest, err := getAndValidateTextRequest(c, relayInfo)
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if textRequest.WebSearchOptions != nil {
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c.Set("chat_completion_web_search_context_size", textRequest.WebSearchOptions.SearchContextSize)
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}
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if err != nil {
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common.LogError(c, fmt.Sprintf("getAndValidateTextRequest failed: %s", err.Error()))
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return service.OpenAIErrorWrapperLocal(err, "invalid_text_request", http.StatusBadRequest)
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}
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if setting.ShouldCheckPromptSensitive() {
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words, err := checkRequestSensitive(textRequest, relayInfo)
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if err != nil {
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common.LogWarn(c, fmt.Sprintf("user sensitive words detected: %s", strings.Join(words, ", ")))
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return service.OpenAIErrorWrapperLocal(err, "sensitive_words_detected", http.StatusBadRequest)
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}
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}
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err = helper.ModelMappedHelper(c, relayInfo)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "model_mapped_error", http.StatusInternalServerError)
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}
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textRequest.Model = relayInfo.UpstreamModelName
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// 获取 promptTokens，如果上下文中已经存在，则直接使用
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var promptTokens int
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if value, exists := c.Get("prompt_tokens"); exists {
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promptTokens = value.(int)
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relayInfo.PromptTokens = promptTokens
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} else {
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promptTokens, err = getPromptTokens(textRequest, relayInfo)
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// count messages token error 计算promptTokens错误
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if err != nil {
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return service.OpenAIErrorWrapper(err, "count_token_messages_failed", http.StatusInternalServerError)
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}
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c.Set("prompt_tokens", promptTokens)
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}
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priceData, err := helper.ModelPriceHelper(c, relayInfo, promptTokens, int(math.Max(float64(textRequest.MaxTokens), float64(textRequest.MaxCompletionTokens))))
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "model_price_error", http.StatusInternalServerError)
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}
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// pre-consume quota 预消耗配额
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preConsumedQuota, userQuota, openaiErr := preConsumeQuota(c, priceData.ShouldPreConsumedQuota, relayInfo)
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if openaiErr != nil {
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return openaiErr
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}
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defer func() {
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if openaiErr != nil {
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returnPreConsumedQuota(c, relayInfo, userQuota, preConsumedQuota)
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}
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}()
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includeUsage := false
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// 判断用户是否需要返回使用情况
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if textRequest.StreamOptions != nil && textRequest.StreamOptions.IncludeUsage {
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includeUsage = true
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}
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// 如果不支持StreamOptions，将StreamOptions设置为nil
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if !relayInfo.SupportStreamOptions || !textRequest.Stream {
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textRequest.StreamOptions = nil
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} else {
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// 如果支持StreamOptions，且请求中没有设置StreamOptions，根据配置文件设置StreamOptions
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if constant.ForceStreamOption {
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textRequest.StreamOptions = &dto.StreamOptions{
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IncludeUsage: true,
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}
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}
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}
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if includeUsage {
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relayInfo.ShouldIncludeUsage = true
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}
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adaptor := GetAdaptor(relayInfo.ApiType)
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if adaptor == nil {
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return service.OpenAIErrorWrapperLocal(fmt.Errorf("invalid api type: %d", relayInfo.ApiType), "invalid_api_type", http.StatusBadRequest)
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}
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adaptor.Init(relayInfo)
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var requestBody io.Reader
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if model_setting.GetGlobalSettings().PassThroughRequestEnabled {
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body, err := common.GetRequestBody(c)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "get_request_body_failed", http.StatusInternalServerError)
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}
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requestBody = bytes.NewBuffer(body)
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} else {
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convertedRequest, err := adaptor.ConvertOpenAIRequest(c, relayInfo, textRequest)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "convert_request_failed", http.StatusInternalServerError)
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}
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jsonData, err := json.Marshal(convertedRequest)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "json_marshal_failed", http.StatusInternalServerError)
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}
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// apply param override
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if len(relayInfo.ParamOverride) > 0 {
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reqMap := make(map[string]interface{})
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err = json.Unmarshal(jsonData, &reqMap)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "param_override_unmarshal_failed", http.StatusInternalServerError)
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}
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for key, value := range relayInfo.ParamOverride {
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reqMap[key] = value
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}
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jsonData, err = json.Marshal(reqMap)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "param_override_marshal_failed", http.StatusInternalServerError)
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}
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}
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if common.DebugEnabled {
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println("requestBody: ", string(jsonData))
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}
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requestBody = bytes.NewBuffer(jsonData)
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}
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var httpResp *http.Response
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resp, err := adaptor.DoRequest(c, relayInfo, requestBody)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
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}
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statusCodeMappingStr := c.GetString("status_code_mapping")
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if resp != nil {
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httpResp = resp.(*http.Response)
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relayInfo.IsStream = relayInfo.IsStream || strings.HasPrefix(httpResp.Header.Get("Content-Type"), "text/event-stream")
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if httpResp.StatusCode != http.StatusOK {
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openaiErr = service.RelayErrorHandler(httpResp, false)
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// reset status code 重置状态码
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service.ResetStatusCode(openaiErr, statusCodeMappingStr)
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return openaiErr
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}
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}
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usage, openaiErr := adaptor.DoResponse(c, httpResp, relayInfo)
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if openaiErr != nil {
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// reset status code 重置状态码
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service.ResetStatusCode(openaiErr, statusCodeMappingStr)
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return openaiErr
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}
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if strings.HasPrefix(relayInfo.OriginModelName, "gpt-4o-audio") {
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service.PostAudioConsumeQuota(c, relayInfo, usage.(*dto.Usage), preConsumedQuota, userQuota, priceData, "")
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} else {
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postConsumeQuota(c, relayInfo, usage.(*dto.Usage), preConsumedQuota, userQuota, priceData, "")
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}
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return nil
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}
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func getPromptTokens(textRequest *dto.GeneralOpenAIRequest, info *relaycommon.RelayInfo) (int, error) {
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var promptTokens int
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var err error
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switch info.RelayMode {
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case relayconstant.RelayModeChatCompletions:
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promptTokens, err = service.CountTokenChatRequest(info, *textRequest)
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case relayconstant.RelayModeCompletions:
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promptTokens, err = service.CountTokenInput(textRequest.Prompt, textRequest.Model)
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case relayconstant.RelayModeModerations:
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promptTokens, err = service.CountTokenInput(textRequest.Input, textRequest.Model)
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case relayconstant.RelayModeEmbeddings:
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promptTokens, err = service.CountTokenInput(textRequest.Input, textRequest.Model)
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default:
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err = errors.New("unknown relay mode")
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promptTokens = 0
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}
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info.PromptTokens = promptTokens
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return promptTokens, err
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}
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func checkRequestSensitive(textRequest *dto.GeneralOpenAIRequest, info *relaycommon.RelayInfo) ([]string, error) {
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var err error
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var words []string
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switch info.RelayMode {
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case relayconstant.RelayModeChatCompletions:
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words, err = service.CheckSensitiveMessages(textRequest.Messages)
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case relayconstant.RelayModeCompletions:
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words, err = service.CheckSensitiveInput(textRequest.Prompt)
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case relayconstant.RelayModeModerations:
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words, err = service.CheckSensitiveInput(textRequest.Input)
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case relayconstant.RelayModeEmbeddings:
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words, err = service.CheckSensitiveInput(textRequest.Input)
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}
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return words, err
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}
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// 预扣费并返回用户剩余配额
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func preConsumeQuota(c *gin.Context, preConsumedQuota int, relayInfo *relaycommon.RelayInfo) (int, int, *dto.OpenAIErrorWithStatusCode) {
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userQuota, err := model.GetUserQuota(relayInfo.UserId, false)
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if err != nil {
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return 0, 0, service.OpenAIErrorWrapperLocal(err, "get_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota <= 0 {
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return 0, 0, service.OpenAIErrorWrapperLocal(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
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}
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if userQuota-preConsumedQuota < 0 {
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return 0, 0, service.OpenAIErrorWrapperLocal(fmt.Errorf("chat pre-consumed quota failed, user quota: %s, need quota: %s", common.FormatQuota(userQuota), common.FormatQuota(preConsumedQuota)), "insufficient_user_quota", http.StatusForbidden)
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}
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relayInfo.UserQuota = userQuota
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if userQuota > 100*preConsumedQuota {
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// 用户额度充足，判断令牌额度是否充足
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if !relayInfo.TokenUnlimited {
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// 非无限令牌，判断令牌额度是否充足
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tokenQuota := c.GetInt("token_quota")
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if tokenQuota > 100*preConsumedQuota {
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// 令牌额度充足，信任令牌
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preConsumedQuota = 0
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common.LogInfo(c, fmt.Sprintf("user %d quota %s and token %d quota %d are enough, trusted and no need to pre-consume", relayInfo.UserId, common.FormatQuota(userQuota), relayInfo.TokenId, tokenQuota))
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}
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} else {
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// in this case, we do not pre-consume quota
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// because the user has enough quota
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preConsumedQuota = 0
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common.LogInfo(c, fmt.Sprintf("user %d with unlimited token has enough quota %s, trusted and no need to pre-consume", relayInfo.UserId, common.FormatQuota(userQuota)))
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}
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}
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if preConsumedQuota > 0 {
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err := service.PreConsumeTokenQuota(relayInfo, preConsumedQuota)
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if err != nil {
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return 0, 0, service.OpenAIErrorWrapperLocal(err, "pre_consume_token_quota_failed", http.StatusForbidden)
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}
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err = model.DecreaseUserQuota(relayInfo.UserId, preConsumedQuota)
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if err != nil {
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return 0, 0, service.OpenAIErrorWrapperLocal(err, "decrease_user_quota_failed", http.StatusInternalServerError)
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}
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}
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return preConsumedQuota, userQuota, nil
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}
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func returnPreConsumedQuota(c *gin.Context, relayInfo *relaycommon.RelayInfo, userQuota int, preConsumedQuota int) {
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if preConsumedQuota != 0 {
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gopool.Go(func() {
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relayInfoCopy := *relayInfo
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err := service.PostConsumeQuota(&relayInfoCopy, -preConsumedQuota, 0, false)
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if err != nil {
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common.SysError("error return pre-consumed quota: " + err.Error())
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}
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})
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}
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}
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func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
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usage *dto.Usage, preConsumedQuota int, userQuota int, priceData helper.PriceData, extraContent string) {
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if usage == nil {
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usage = &dto.Usage{
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PromptTokens: relayInfo.PromptTokens,
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CompletionTokens: 0,
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TotalTokens: relayInfo.PromptTokens,
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}
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extraContent += "（可能是请求出错）"
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}
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useTimeSeconds := time.Now().Unix() - relayInfo.StartTime.Unix()
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promptTokens := usage.PromptTokens
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cacheTokens := usage.PromptTokensDetails.CachedTokens
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imageTokens := usage.PromptTokensDetails.ImageTokens
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audioTokens := usage.PromptTokensDetails.AudioTokens
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completionTokens := usage.CompletionTokens
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modelName := relayInfo.OriginModelName
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tokenName := ctx.GetString("token_name")
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completionRatio := priceData.CompletionRatio
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cacheRatio := priceData.CacheRatio
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imageRatio := priceData.ImageRatio
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modelRatio := priceData.ModelRatio
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groupRatio := priceData.GroupRatioInfo.GroupRatio
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modelPrice := priceData.ModelPrice
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// Convert values to decimal for precise calculation
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dPromptTokens := decimal.NewFromInt(int64(promptTokens))
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dCacheTokens := decimal.NewFromInt(int64(cacheTokens))
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dImageTokens := decimal.NewFromInt(int64(imageTokens))
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dAudioTokens := decimal.NewFromInt(int64(audioTokens))
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dCompletionTokens := decimal.NewFromInt(int64(completionTokens))
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dCompletionRatio := decimal.NewFromFloat(completionRatio)
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dCacheRatio := decimal.NewFromFloat(cacheRatio)
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dImageRatio := decimal.NewFromFloat(imageRatio)
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dModelRatio := decimal.NewFromFloat(modelRatio)
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dGroupRatio := decimal.NewFromFloat(groupRatio)
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dModelPrice := decimal.NewFromFloat(modelPrice)
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dQuotaPerUnit := decimal.NewFromFloat(common.QuotaPerUnit)
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ratio := dModelRatio.Mul(dGroupRatio)
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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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// 计算 web search 调用的配额 (配额 = 价格 * 调用次数 / 1000 * 分组倍率)
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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)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
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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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webSearchTool.CallCount, webSearchTool.SearchContextSize, dWebSearchQuota.String())
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}
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} else if strings.HasSuffix(modelName, "search-preview") {
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// search-preview 模型不支持 response api
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searchContextSize := ctx.GetString("chat_completion_web_search_context_size")
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if searchContextSize == "" {
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searchContextSize = "medium"
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}
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webSearchPrice = operation_setting.GetWebSearchPricePerThousand(modelName, searchContextSize)
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dWebSearchQuota = decimal.NewFromFloat(webSearchPrice).
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Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
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extraContent += fmt.Sprintf("Web Search 调用 1 次，上下文大小 %s，调用花费 %s",
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searchContextSize, dWebSearchQuota.String())
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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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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)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
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extraContent += fmt.Sprintf("File Search 调用 %d 次，调用花费 %s",
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fileSearchTool.CallCount, dFileSearchQuota.String())
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}
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}
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var quotaCalculateDecimal decimal.Decimal
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var audioInputQuota decimal.Decimal
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var audioInputPrice float64
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if !priceData.UsePrice {
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baseTokens := dPromptTokens
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// 减去 cached tokens
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var cachedTokensWithRatio decimal.Decimal
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if !dCacheTokens.IsZero() {
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baseTokens = baseTokens.Sub(dCacheTokens)
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cachedTokensWithRatio = dCacheTokens.Mul(dCacheRatio)
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}
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// 减去 image tokens
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var imageTokensWithRatio decimal.Decimal
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if !dImageTokens.IsZero() {
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baseTokens = baseTokens.Sub(dImageTokens)
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imageTokensWithRatio = dImageTokens.Mul(dImageRatio)
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}
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// 减去 Gemini audio tokens
|
||
if !dAudioTokens.IsZero() {
|
||
audioInputPrice = operation_setting.GetGeminiInputAudioPricePerMillionTokens(modelName)
|
||
if audioInputPrice > 0 {
|
||
// 重新计算 base tokens
|
||
baseTokens = baseTokens.Sub(dAudioTokens)
|
||
audioInputQuota = decimal.NewFromFloat(audioInputPrice).Div(decimal.NewFromInt(1000000)).Mul(dAudioTokens).Mul(dGroupRatio).Mul(dQuotaPerUnit)
|
||
extraContent += fmt.Sprintf("Audio Input 花费 %s", audioInputQuota.String())
|
||
}
|
||
}
|
||
promptQuota := baseTokens.Add(cachedTokensWithRatio).Add(imageTokensWithRatio)
|
||
|
||
completionQuota := dCompletionTokens.Mul(dCompletionRatio)
|
||
|
||
quotaCalculateDecimal = promptQuota.Add(completionQuota).Mul(ratio)
|
||
|
||
if !ratio.IsZero() && quotaCalculateDecimal.LessThanOrEqual(decimal.Zero) {
|
||
quotaCalculateDecimal = decimal.NewFromInt(1)
|
||
}
|
||
} 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)
|
||
// 添加 audio input 独立计费
|
||
quotaCalculateDecimal = quotaCalculateDecimal.Add(audioInputQuota)
|
||
|
||
quota := int(quotaCalculateDecimal.Round(0).IntPart())
|
||
totalTokens := promptTokens + completionTokens
|
||
|
||
var logContent string
|
||
if !priceData.UsePrice {
|
||
logContent = fmt.Sprintf("模型倍率 %.2f，补全倍率 %.2f，分组倍率 %.2f", modelRatio, completionRatio, groupRatio)
|
||
} else {
|
||
logContent = fmt.Sprintf("模型价格 %.2f，分组倍率 %.2f", modelPrice, groupRatio)
|
||
}
|
||
|
||
// record all the consume log even if quota is 0
|
||
if totalTokens == 0 {
|
||
// in this case, must be some error happened
|
||
// we cannot just return, because we may have to return the pre-consumed quota
|
||
quota = 0
|
||
logContent += fmt.Sprintf("（可能是上游超时）")
|
||
common.LogError(ctx, fmt.Sprintf("total tokens is 0, cannot consume quota, userId %d, channelId %d, "+
|
||
"tokenId %d, model %s， pre-consumed quota %d", relayInfo.UserId, relayInfo.ChannelId, relayInfo.TokenId, modelName, preConsumedQuota))
|
||
} else {
|
||
model.UpdateUserUsedQuotaAndRequestCount(relayInfo.UserId, quota)
|
||
model.UpdateChannelUsedQuota(relayInfo.ChannelId, quota)
|
||
}
|
||
|
||
quotaDelta := quota - preConsumedQuota
|
||
if quotaDelta != 0 {
|
||
err := service.PostConsumeQuota(relayInfo, quotaDelta, preConsumedQuota, true)
|
||
if err != nil {
|
||
common.LogError(ctx, "error consuming token remain quota: "+err.Error())
|
||
}
|
||
}
|
||
|
||
logModel := modelName
|
||
if strings.HasPrefix(logModel, "gpt-4-gizmo") {
|
||
logModel = "gpt-4-gizmo-*"
|
||
logContent += fmt.Sprintf("，模型 %s", modelName)
|
||
}
|
||
if strings.HasPrefix(logModel, "gpt-4o-gizmo") {
|
||
logModel = "gpt-4o-gizmo-*"
|
||
logContent += fmt.Sprintf("，模型 %s", modelName)
|
||
}
|
||
if extraContent != "" {
|
||
logContent += ", " + extraContent
|
||
}
|
||
other := service.GenerateTextOtherInfo(ctx, relayInfo, modelRatio, groupRatio, completionRatio, cacheTokens, cacheRatio, modelPrice, priceData.GroupRatioInfo.GroupSpecialRatio)
|
||
if imageTokens != 0 {
|
||
other["image"] = true
|
||
other["image_ratio"] = imageRatio
|
||
other["image_output"] = imageTokens
|
||
}
|
||
if !dWebSearchQuota.IsZero() {
|
||
if 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
|
||
}
|
||
} else if strings.HasSuffix(modelName, "search-preview") {
|
||
other["web_search"] = true
|
||
other["web_search_call_count"] = 1
|
||
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
|
||
}
|
||
}
|
||
if !audioInputQuota.IsZero() {
|
||
other["audio_input_seperate_price"] = true
|
||
other["audio_input_token_count"] = audioTokens
|
||
other["audio_input_price"] = audioInputPrice
|
||
}
|
||
model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, promptTokens, completionTokens, logModel,
|
||
tokenName, quota, logContent, relayInfo.TokenId, userQuota, int(useTimeSeconds), relayInfo.IsStream, relayInfo.Group, other)
|
||
}
|