mirror of
https://github.com/QuantumNous/new-api.git
synced 2026-04-19 07:27:28 +00:00
feat(monitor_setting): implement automatic channel testing configuration
This commit is contained in:
@@ -5,6 +5,9 @@ import (
|
||||
"encoding/base64"
|
||||
"fmt"
|
||||
"image"
|
||||
_ "image/gif"
|
||||
_ "image/jpeg"
|
||||
_ "image/png"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
|
||||
@@ -5,6 +5,9 @@ import (
|
||||
"errors"
|
||||
"fmt"
|
||||
"image"
|
||||
_ "image/gif"
|
||||
_ "image/jpeg"
|
||||
_ "image/png"
|
||||
"log"
|
||||
"math"
|
||||
"one-api/common"
|
||||
@@ -357,33 +360,6 @@ func CountRequestToken(c *gin.Context, meta *types.TokenCountMeta, info *relayco
|
||||
return tkm, nil
|
||||
}
|
||||
|
||||
//func CountTokenChatRequest(info *relaycommon.RelayInfo, request dto.GeneralOpenAIRequest) (int, error) {
|
||||
// tkm := 0
|
||||
// msgTokens, err := CountTokenMessages(info, request.Messages, request.Model, request.Stream)
|
||||
// if err != nil {
|
||||
// return 0, err
|
||||
// }
|
||||
// tkm += msgTokens
|
||||
// if request.Tools != nil {
|
||||
// openaiTools := request.Tools
|
||||
// countStr := ""
|
||||
// for _, tool := range openaiTools {
|
||||
// countStr = tool.Function.Name
|
||||
// if tool.Function.Description != "" {
|
||||
// countStr += tool.Function.Description
|
||||
// }
|
||||
// if tool.Function.Parameters != nil {
|
||||
// countStr += fmt.Sprintf("%v", tool.Function.Parameters)
|
||||
// }
|
||||
// }
|
||||
// toolTokens := CountTokenInput(countStr, request.Model)
|
||||
// tkm += 8
|
||||
// tkm += toolTokens
|
||||
// }
|
||||
//
|
||||
// return tkm, nil
|
||||
//}
|
||||
|
||||
func CountTokenClaudeRequest(request dto.ClaudeRequest, model string) (int, error) {
|
||||
tkm := 0
|
||||
|
||||
@@ -543,56 +519,6 @@ func CountTokenRealtime(info *relaycommon.RelayInfo, request dto.RealtimeEvent,
|
||||
return textToken, audioToken, nil
|
||||
}
|
||||
|
||||
//func CountTokenMessages(info *relaycommon.RelayInfo, messages []dto.Message, model string, stream bool) (int, error) {
|
||||
// //recover when panic
|
||||
// tokenEncoder := getTokenEncoder(model)
|
||||
// // Reference:
|
||||
// // https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
|
||||
// // https://github.com/pkoukk/tiktoken-go/issues/6
|
||||
// //
|
||||
// // Every message follows <|start|>{role/name}\n{content}<|end|>\n
|
||||
// var tokensPerMessage int
|
||||
// var tokensPerName int
|
||||
//
|
||||
// tokensPerMessage = 3
|
||||
// tokensPerName = 1
|
||||
//
|
||||
// tokenNum := 0
|
||||
// for _, message := range messages {
|
||||
// tokenNum += tokensPerMessage
|
||||
// tokenNum += getTokenNum(tokenEncoder, message.Role)
|
||||
// if message.Content != nil {
|
||||
// if message.Name != nil {
|
||||
// tokenNum += tokensPerName
|
||||
// tokenNum += getTokenNum(tokenEncoder, *message.Name)
|
||||
// }
|
||||
// arrayContent := message.ParseContent()
|
||||
// for _, m := range arrayContent {
|
||||
// if m.Type == dto.ContentTypeImageURL {
|
||||
// imageUrl := m.GetImageMedia()
|
||||
// imageTokenNum, err := getImageToken(info, imageUrl, model, stream)
|
||||
// if err != nil {
|
||||
// return 0, err
|
||||
// }
|
||||
// tokenNum += imageTokenNum
|
||||
// log.Printf("image token num: %d", imageTokenNum)
|
||||
// } else if m.Type == dto.ContentTypeInputAudio {
|
||||
// // TODO: 音频token数量计算
|
||||
// tokenNum += 100
|
||||
// } else if m.Type == dto.ContentTypeFile {
|
||||
// tokenNum += 5000
|
||||
// } else if m.Type == dto.ContentTypeVideoUrl {
|
||||
// tokenNum += 5000
|
||||
// } else {
|
||||
// tokenNum += getTokenNum(tokenEncoder, m.Text)
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// tokenNum += 3 // Every reply is primed with <|start|>assistant<|message|>
|
||||
// return tokenNum, nil
|
||||
//}
|
||||
|
||||
func CountTokenInput(input any, model string) int {
|
||||
switch v := input.(type) {
|
||||
case string:
|
||||
|
||||
Reference in New Issue
Block a user