feat: 初步兼容敏感词过滤

This commit is contained in:
CaIon
2024-03-20 17:07:42 +08:00
parent bec21ade9d
commit 7a663d26ec
22 changed files with 293 additions and 66 deletions

View File

@@ -10,6 +10,7 @@ import (
"io"
"net/http"
"one-api/common"
"one-api/constant"
"one-api/dto"
"one-api/model"
relaycommon "one-api/relay/common"
@@ -62,8 +63,16 @@ func AudioHelper(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode {
return service.OpenAIErrorWrapper(errors.New("voice must be one of "+strings.Join(availableVoices, ", ")), "invalid_field_value", http.StatusBadRequest)
}
}
var err error
promptTokens := 0
preConsumedTokens := common.PreConsumedQuota
if strings.HasPrefix(audioRequest.Model, "tts-1") {
promptTokens, err = service.CountAudioToken(audioRequest.Input, audioRequest.Model, constant.ShouldCheckPromptSensitive())
if err != nil {
return service.OpenAIErrorWrapper(err, "count_audio_token_failed", http.StatusInternalServerError)
}
preConsumedTokens = promptTokens
}
modelRatio := common.GetModelRatio(audioRequest.Model)
groupRatio := common.GetGroupRatio(group)
ratio := modelRatio * groupRatio
@@ -161,12 +170,10 @@ func AudioHelper(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode {
go func() {
useTimeSeconds := time.Now().Unix() - startTime.Unix()
quota := 0
var promptTokens = 0
if strings.HasPrefix(audioRequest.Model, "tts-1") {
quota = service.CountAudioToken(audioRequest.Input, audioRequest.Model)
promptTokens = quota
quota = promptTokens
} else {
quota = service.CountAudioToken(audioResponse.Text, audioRequest.Model)
quota, err = service.CountAudioToken(audioResponse.Text, audioRequest.Model, constant.ShouldCheckCompletionSensitive())
}
quota = int(float64(quota) * ratio)
if ratio != 0 && quota <= 0 {
@@ -208,6 +215,10 @@ func AudioHelper(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode {
if err != nil {
return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
}
contains, words := service.SensitiveWordContains(audioResponse.Text)
if contains {
return service.OpenAIErrorWrapper(errors.New("response contains sensitive words: "+strings.Join(words, ", ")), "response_contains_sensitive_words", http.StatusBadRequest)
}
}
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))