Merge remote-tracking branch 'origin/upstream/main'

This commit is contained in:
Laisky.Cai
2023-12-12 06:00:29 +00:00
31 changed files with 1582 additions and 387 deletions

View File

@@ -2,6 +2,7 @@ package controller
import (
"bytes"
"context"
"encoding/base64"
"encoding/json"
"fmt"
@@ -11,6 +12,8 @@ import (
"math"
"net/http"
"one-api/common"
"one-api/common/image"
"one-api/model"
"strconv"
"strings"
@@ -138,7 +141,33 @@ func countTokenMessages(messages []Message, model string) int {
tokenNum := 0
for _, message := range messages {
tokenNum += tokensPerMessage
tokenNum += getTokenNum(tokenEncoder, message.Content)
switch v := message.Content.(type) {
case string:
tokenNum += getTokenNum(tokenEncoder, v)
case []any:
for _, it := range v {
m := it.(map[string]any)
switch m["type"] {
case "text":
tokenNum += getTokenNum(tokenEncoder, m["text"].(string))
case "image_url":
imageUrl, ok := m["image_url"].(map[string]any)
if ok {
url := imageUrl["url"].(string)
detail := ""
if imageUrl["detail"] != nil {
detail = imageUrl["detail"].(string)
}
imageTokens, err := countImageTokens(url, detail)
if err != nil {
common.SysError("error counting image tokens: " + err.Error())
} else {
tokenNum += imageTokens
}
}
}
}
}
tokenNum += getTokenNum(tokenEncoder, message.Role)
if message.Name != nil {
tokenNum += tokensPerName
@@ -196,13 +225,81 @@ func countVisonTokenMessages(messages []VisionMessage, model string) (int, error
return tokenNum, nil
}
const (
lowDetailCost = 85
highDetailCostPerTile = 170
additionalCost = 85
)
// https://platform.openai.com/docs/guides/vision/calculating-costs
// https://github.com/openai/openai-cookbook/blob/05e3f9be4c7a2ae7ecf029a7c32065b024730ebe/examples/How_to_count_tokens_with_tiktoken.ipynb
func countImageTokens(url string, detail string) (_ int, err error) {
var fetchSize = true
var width, height int
// Reference: https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding
// detail == "auto" is undocumented on how it works, it just said the model will use the auto setting which will look at the image input size and decide if it should use the low or high setting.
// According to the official guide, "low" disable the high-res model,
// and only receive low-res 512px x 512px version of the image, indicating
// that image is treated as low-res when size is smaller than 512px x 512px,
// then we can assume that image size larger than 512px x 512px is treated
// as high-res. Then we have the following logic:
// if detail == "" || detail == "auto" {
// width, height, err = image.GetImageSize(url)
// if err != nil {
// return 0, err
// }
// fetchSize = false
// // not sure if this is correct
// if width > 512 || height > 512 {
// detail = "high"
// } else {
// detail = "low"
// }
// }
// However, in my test, it seems to be always the same as "high".
// The following image, which is 125x50, is still treated as high-res, taken
// 255 tokens in the response of non-stream chat completion api.
// https://upload.wikimedia.org/wikipedia/commons/1/10/18_Infantry_Division_Messina.jpg
if detail == "" || detail == "auto" {
// assume by test, not sure if this is correct
detail = "high"
}
switch detail {
case "low":
return lowDetailCost, nil
case "high":
if fetchSize {
width, height, err = image.GetImageSize(url)
if err != nil {
return 0, err
}
}
if width > 2048 || height > 2048 { // max(width, height) > 2048
ratio := float64(2048) / math.Max(float64(width), float64(height))
width = int(float64(width) * ratio)
height = int(float64(height) * ratio)
}
if width > 768 && height > 768 { // min(width, height) > 768
ratio := float64(768) / math.Min(float64(width), float64(height))
width = int(float64(width) * ratio)
height = int(float64(height) * ratio)
}
numSquares := int(math.Ceil(float64(width)/512) * math.Ceil(float64(height)/512))
result := numSquares*highDetailCostPerTile + additionalCost
return result, nil
default:
return 0, errors.New("invalid detail option")
}
}
func countTokenInput(input any, model string) int {
switch input.(type) {
switch v := input.(type) {
case string:
return countTokenText(input.(string), model)
return countTokenText(v, model)
case []string:
text := ""
for _, s := range input.([]string) {
for _, s := range v {
text += s
}
return countTokenText(text, model)
@@ -243,6 +340,19 @@ func shouldDisableChannel(err *OpenAIError, statusCode int) bool {
return false
}
func shouldEnableChannel(err error, openAIErr *OpenAIError) bool {
if !common.AutomaticEnableChannelEnabled {
return false
}
if err != nil {
return false
}
if openAIErr != nil {
return false
}
return true
}
func setEventStreamHeaders(c *gin.Context) {
c.Writer.Header().Set("Content-Type", "text/event-stream")
c.Writer.Header().Set("Cache-Control", "no-cache")
@@ -280,10 +390,45 @@ func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIEr
func getFullRequestURL(baseURL string, requestURL string, channelType int) string {
fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
if channelType == common.ChannelTypeOpenAI {
if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
switch channelType {
case common.ChannelTypeOpenAI:
fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/v1"))
case common.ChannelTypeAzure:
fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/openai/deployments"))
}
}
return fullRequestURL
}
func postConsumeQuota(ctx context.Context, tokenId int, quotaDelta int, totalQuota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
// quotaDelta is remaining quota to be consumed
err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
if err != nil {
common.SysError("error consuming token remain quota: " + err.Error())
}
err = model.CacheUpdateUserQuota(userId)
if err != nil {
common.SysError("error update user quota cache: " + err.Error())
}
// totalQuota is total quota consumed
if totalQuota != 0 {
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
model.RecordConsumeLog(ctx, userId, channelId, totalQuota, 0, modelName, tokenName, totalQuota, logContent)
model.UpdateUserUsedQuotaAndRequestCount(userId, totalQuota)
model.UpdateChannelUsedQuota(channelId, totalQuota)
}
if totalQuota <= 0 {
common.LogError(ctx, fmt.Sprintf("totalQuota consumed is %d, something is wrong", totalQuota))
}
}
func GetAPIVersion(c *gin.Context) string {
query := c.Request.URL.Query()
apiVersion := query.Get("api-version")
if apiVersion == "" {
apiVersion = c.GetString("api_version")
}
return apiVersion
}