Compare commits
22 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| f5c2fda22a | |||
| d309727e99 | |||
| 7e3e9b1a96 | |||
| 8b9ba91184 | |||
| d402f5a5d9 | |||
| 8bea13976f | |||
| c56ec3b3ea | |||
| 9f165b8924 | |||
| 93f634d228 | |||
| 45073b3b2b | |||
| 4f123cf9f4 | |||
| 4759bbdb95 | |||
| 5bf1f2f275 | |||
| e24d9bd8db | |||
| f4dcf8d6b6 | |||
| 9246dd2070 | |||
| 1ab9892090 | |||
| 0647872c15 | |||
| 873ebcf0c7 | |||
| 1727d5664a | |||
| 75f0cb8eb0 | |||
| 7566ae9b3e |
@@ -16,6 +16,7 @@ var GeminiVisionMaxImageNum int
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var NotifyLimitCount int
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var NotificationLimitDurationMinute int
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var GenerateDefaultToken bool
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var ErrorLogEnabled bool
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//var GeminiModelMap = map[string]string{
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// "gemini-1.0-pro": "v1",
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@@ -36,6 +37,8 @@ func InitEnv() {
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NotificationLimitDurationMinute = common.GetEnvOrDefault("NOTIFICATION_LIMIT_DURATION_MINUTE", 10)
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// GenerateDefaultToken 是否生成初始令牌,默认关闭。
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GenerateDefaultToken = common.GetEnvOrDefaultBool("GENERATE_DEFAULT_TOKEN", false)
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// 是否启用错误日志
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ErrorLogEnabled = common.GetEnvOrDefaultBool("ERROR_LOG_ENABLED", false)
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//modelVersionMapStr := strings.TrimSpace(os.Getenv("GEMINI_MODEL_MAP"))
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//if modelVersionMapStr == "" {
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+1
-1
@@ -196,7 +196,7 @@ func DeleteHistoryLogs(c *gin.Context) {
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})
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return
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}
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count, err := model.DeleteOldLog(targetTimestamp)
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count, err := model.DeleteOldLog(c.Request.Context(), targetTimestamp, 100)
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if err != nil {
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c.JSON(http.StatusOK, gin.H{
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"success": false,
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+22
-1
@@ -10,6 +10,7 @@ import (
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"log"
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"net/http"
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"one-api/common"
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constant2 "one-api/constant"
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"one-api/dto"
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"one-api/middleware"
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"one-api/model"
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@@ -24,7 +25,7 @@ import (
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func relayHandler(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode {
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var err *dto.OpenAIErrorWithStatusCode
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switch relayMode {
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case relayconstant.RelayModeImagesGenerations:
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case relayconstant.RelayModeImagesGenerations, relayconstant.RelayModeImagesEdits:
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err = relay.ImageHelper(c)
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case relayconstant.RelayModeAudioSpeech:
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fallthrough
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@@ -39,6 +40,26 @@ func relayHandler(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode
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default:
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err = relay.TextHelper(c)
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}
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if constant2.ErrorLogEnabled && err != nil {
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// 保存错误日志到mysql中
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userId := c.GetInt("id")
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tokenName := c.GetString("token_name")
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modelName := c.GetString("original_model")
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tokenId := c.GetInt("token_id")
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userGroup := c.GetString("group")
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channelId := c.GetInt("channel_id")
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other := make(map[string]interface{})
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other["error_type"] = err.Error.Type
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other["error_code"] = err.Error.Code
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other["status_code"] = err.StatusCode
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other["channel_id"] = channelId
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other["channel_name"] = c.GetString("channel_name")
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other["channel_type"] = c.GetInt("channel_type")
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model.RecordErrorLog(c, userId, channelId, modelName, tokenName, err.Error.Message, tokenId, 0, false, userGroup, other)
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}
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return err
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}
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@@ -15,6 +15,7 @@ services:
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- SQL_DSN=root:123456@tcp(mysql:3306)/new-api # Point to the mysql service
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- REDIS_CONN_STRING=redis://redis
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- TZ=Asia/Shanghai
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- ERROR_LOG_ENABLED=true # 是否启用错误日志记录
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# - TIKTOKEN_CACHE_DIR=./tiktoken_cache # 如果需要使用tiktoken_cache,请取消注释
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# - SESSION_SECRET=random_string # 多机部署时设置,必须修改这个随机字符串!!!!!!!
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# - NODE_TYPE=slave # Uncomment for slave node in multi-node deployment
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@@ -51,6 +51,7 @@ type GeneralOpenAIRequest struct {
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Dimensions int `json:"dimensions,omitempty"`
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Modalities any `json:"modalities,omitempty"`
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Audio any `json:"audio,omitempty"`
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EnableThinking any `json:"enable_thinking,omitempty"` // ali
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ExtraBody any `json:"extra_body,omitempty"`
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}
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@@ -166,12 +166,16 @@ type CompletionsStreamResponse struct {
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}
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type Usage struct {
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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PromptCacheHitTokens int `json:"prompt_cache_hit_tokens,omitempty"`
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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PromptCacheHitTokens int `json:"prompt_cache_hit_tokens,omitempty"`
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PromptTokensDetails InputTokenDetails `json:"prompt_tokens_details"`
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CompletionTokenDetails OutputTokenDetails `json:"completion_tokens_details"`
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InputTokens int `json:"input_tokens"`
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OutputTokens int `json:"output_tokens"`
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InputTokensDetails *InputTokenDetails `json:"input_tokens_details"`
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}
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type InputTokenDetails struct {
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@@ -74,7 +74,7 @@ func main() {
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}
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// Initialize model settings
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operation_setting.InitModelSettings()
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operation_setting.InitRatioSettings()
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// Initialize constants
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constant.InitEnv()
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// Initialize options
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@@ -162,7 +162,7 @@ func getModelRequest(c *gin.Context) (*ModelRequest, bool, error) {
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}
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c.Set("platform", string(constant.TaskPlatformSuno))
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c.Set("relay_mode", relayMode)
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} else if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
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} else if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") && !strings.HasPrefix(c.Request.URL.Path, "/v1/images/edits") {
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err = common.UnmarshalBodyReusable(c, &modelRequest)
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}
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if err != nil {
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@@ -184,6 +184,8 @@ func getModelRequest(c *gin.Context) (*ModelRequest, bool, error) {
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}
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if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
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modelRequest.Model = common.GetStringIfEmpty(modelRequest.Model, "dall-e")
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/images/edits") {
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modelRequest.Model = common.GetStringIfEmpty(modelRequest.Model, "gpt-image-1")
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}
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if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
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relayMode := relayconstant.RelayModeAudioSpeech
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+3
-1
@@ -84,9 +84,11 @@ func CacheGetRandomSatisfiedChannel(group string, model string, retry int) (*Cha
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if !common.MemoryCacheEnabled {
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return GetRandomSatisfiedChannel(group, model, retry)
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}
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channelSyncLock.RLock()
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defer channelSyncLock.RUnlock()
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channels := group2model2channels[group][model]
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channelSyncLock.RUnlock()
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if len(channels) == 0 {
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return nil, errors.New("channel not found")
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}
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+20
-9
@@ -119,10 +119,15 @@ func SearchChannels(keyword string, group string, model string, idSort bool) ([]
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// 如果是 PostgreSQL,使用双引号
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if common.UsingPostgreSQL {
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keyCol = `"key"`
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modelsCol = `"models"`
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}
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baseURLCol := "`base_url`"
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// 如果是 PostgreSQL,使用双引号
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if common.UsingPostgreSQL {
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baseURLCol = `"base_url"`
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}
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order := "priority desc"
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if idSort {
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order = "id desc"
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@@ -142,11 +147,11 @@ func SearchChannels(keyword string, group string, model string, idSort bool) ([]
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// sqlite, PostgreSQL
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groupCondition = `(',' || ` + groupCol + ` || ',') LIKE ?`
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}
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ?) AND " + modelsCol + ` LIKE ? AND ` + groupCondition
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+model+"%", "%,"+group+",%")
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ? OR " + baseURLCol + " LIKE ?) AND " + modelsCol + ` LIKE ? AND ` + groupCondition
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+keyword+"%", "%"+model+"%", "%,"+group+",%")
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} else {
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ?) AND " + modelsCol + " LIKE ?"
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+model+"%")
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ? OR " + baseURLCol + " LIKE ?) AND " + modelsCol + " LIKE ?"
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+keyword+"%", "%"+model+"%")
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}
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// 执行查询
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@@ -450,6 +455,12 @@ func SearchTags(keyword string, group string, model string, idSort bool) ([]*str
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modelsCol = `"models"`
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}
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baseURLCol := "`base_url`"
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// 如果是 PostgreSQL,使用双引号
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if common.UsingPostgreSQL {
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baseURLCol = `"base_url"`
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}
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order := "priority desc"
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if idSort {
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order = "id desc"
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@@ -469,11 +480,11 @@ func SearchTags(keyword string, group string, model string, idSort bool) ([]*str
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// sqlite, PostgreSQL
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groupCondition = `(',' || ` + groupCol + ` || ',') LIKE ?`
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}
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ?) AND " + modelsCol + ` LIKE ? AND ` + groupCondition
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+model+"%", "%,"+group+",%")
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ? OR " + baseURLCol + " LIKE ?) AND " + modelsCol + ` LIKE ? AND ` + groupCondition
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+keyword+"%", "%"+model+"%", "%,"+group+",%")
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} else {
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ?) AND " + modelsCol + " LIKE ?"
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+model+"%")
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whereClause = "(id = ? OR name LIKE ? OR " + keyCol + " = ? OR " + baseURLCol + " LIKE ?) AND " + modelsCol + " LIKE ?"
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args = append(args, common.String2Int(keyword), "%"+keyword+"%", keyword, "%"+keyword+"%", "%"+model+"%")
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}
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subQuery := baseQuery.Where(whereClause, args...).
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+52
-3
@@ -1,6 +1,7 @@
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package model
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import (
|
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"context"
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"fmt"
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"one-api/common"
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"os"
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@@ -40,6 +41,7 @@ const (
|
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LogTypeConsume
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LogTypeManage
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LogTypeSystem
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LogTypeError
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)
|
||||
|
||||
func formatUserLogs(logs []*Log) {
|
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@@ -88,6 +90,35 @@ func RecordLog(userId int, logType int, content string) {
|
||||
}
|
||||
}
|
||||
|
||||
func RecordErrorLog(c *gin.Context, userId int, channelId int, modelName string, tokenName string, content string, tokenId int, useTimeSeconds int,
|
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isStream bool, group string, other map[string]interface{}) {
|
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common.LogInfo(c, fmt.Sprintf("record error log: userId=%d, channelId=%d, modelName=%s, tokenName=%s, content=%s", userId, channelId, modelName, tokenName, content))
|
||||
username := c.GetString("username")
|
||||
otherStr := common.MapToJsonStr(other)
|
||||
log := &Log{
|
||||
UserId: userId,
|
||||
Username: username,
|
||||
CreatedAt: common.GetTimestamp(),
|
||||
Type: LogTypeError,
|
||||
Content: content,
|
||||
PromptTokens: 0,
|
||||
CompletionTokens: 0,
|
||||
TokenName: tokenName,
|
||||
ModelName: modelName,
|
||||
Quota: 0,
|
||||
ChannelId: channelId,
|
||||
TokenId: tokenId,
|
||||
UseTime: useTimeSeconds,
|
||||
IsStream: isStream,
|
||||
Group: group,
|
||||
Other: otherStr,
|
||||
}
|
||||
err := LOG_DB.Create(log).Error
|
||||
if err != nil {
|
||||
common.LogError(c, "failed to record log: "+err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
func RecordConsumeLog(c *gin.Context, userId int, channelId int, promptTokens int, completionTokens int,
|
||||
modelName string, tokenName string, quota int, content string, tokenId int, userQuota int, useTimeSeconds int,
|
||||
isStream bool, group string, other map[string]interface{}) {
|
||||
@@ -310,7 +341,25 @@ func SumUsedToken(logType int, startTimestamp int64, endTimestamp int64, modelNa
|
||||
return token
|
||||
}
|
||||
|
||||
func DeleteOldLog(targetTimestamp int64) (int64, error) {
|
||||
result := LOG_DB.Where("created_at < ?", targetTimestamp).Delete(&Log{})
|
||||
return result.RowsAffected, result.Error
|
||||
func DeleteOldLog(ctx context.Context, targetTimestamp int64, limit int) (int64, error) {
|
||||
var total int64 = 0
|
||||
|
||||
for {
|
||||
if nil != ctx.Err() {
|
||||
return total, ctx.Err()
|
||||
}
|
||||
|
||||
result := LOG_DB.Where("created_at < ?", targetTimestamp).Limit(limit).Delete(&Log{})
|
||||
if nil != result.Error {
|
||||
return total, result.Error
|
||||
}
|
||||
|
||||
total += result.RowsAffected
|
||||
|
||||
if result.RowsAffected < int64(limit) {
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
return total, nil
|
||||
}
|
||||
|
||||
@@ -1,7 +1,12 @@
|
||||
package ali
|
||||
|
||||
var ModelList = []string{
|
||||
"qwen-turbo", "qwen-plus", "qwen-max", "qwen-max-longcontext",
|
||||
"qwen-turbo",
|
||||
"qwen-plus",
|
||||
"qwen-max",
|
||||
"qwen-max-longcontext",
|
||||
"qwq-32b",
|
||||
"qwen3-235b-a22b",
|
||||
"text-embedding-v1",
|
||||
}
|
||||
|
||||
|
||||
@@ -670,6 +670,7 @@ func GeminiChatStreamHandler(c *gin.Context, resp *http.Response, info *relaycom
|
||||
usage.PromptTokens = geminiResponse.UsageMetadata.PromptTokenCount
|
||||
usage.CompletionTokens = geminiResponse.UsageMetadata.CandidatesTokenCount
|
||||
usage.CompletionTokenDetails.ReasoningTokens = geminiResponse.UsageMetadata.ThoughtsTokenCount
|
||||
usage.TotalTokens = geminiResponse.UsageMetadata.TotalTokenCount
|
||||
}
|
||||
err = helper.ObjectData(c, response)
|
||||
if err != nil {
|
||||
@@ -690,9 +691,8 @@ func GeminiChatStreamHandler(c *gin.Context, resp *http.Response, info *relaycom
|
||||
}
|
||||
}
|
||||
|
||||
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
|
||||
usage.PromptTokensDetails.TextTokens = usage.PromptTokens
|
||||
//usage.CompletionTokenDetails.TextTokens = usage.CompletionTokens
|
||||
usage.CompletionTokens = usage.TotalTokens - usage.PromptTokens
|
||||
|
||||
if info.ShouldIncludeUsage {
|
||||
response = helper.GenerateFinalUsageResponse(id, createAt, info.UpstreamModelName, *usage)
|
||||
@@ -740,6 +740,7 @@ func GeminiChatHandler(c *gin.Context, resp *http.Response, info *relaycommon.Re
|
||||
}
|
||||
|
||||
usage.CompletionTokenDetails.ReasoningTokens = geminiResponse.UsageMetadata.ThoughtsTokenCount
|
||||
usage.CompletionTokens = usage.TotalTokens - usage.PromptTokens
|
||||
|
||||
fullTextResponse.Usage = usage
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
|
||||
@@ -22,9 +22,11 @@ import (
|
||||
"one-api/relay/common_handler"
|
||||
"one-api/relay/constant"
|
||||
"one-api/service"
|
||||
"path/filepath"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"net/textproto"
|
||||
)
|
||||
|
||||
type Adaptor struct {
|
||||
@@ -236,11 +238,152 @@ func (a *Adaptor) ConvertAudioRequest(c *gin.Context, info *relaycommon.RelayInf
|
||||
}
|
||||
|
||||
func (a *Adaptor) ConvertImageRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.ImageRequest) (any, error) {
|
||||
return request, nil
|
||||
switch info.RelayMode {
|
||||
case constant.RelayModeImagesEdits:
|
||||
|
||||
var requestBody bytes.Buffer
|
||||
writer := multipart.NewWriter(&requestBody)
|
||||
|
||||
writer.WriteField("model", request.Model)
|
||||
// 获取所有表单字段
|
||||
formData := c.Request.PostForm
|
||||
// 遍历表单字段并打印输出
|
||||
for key, values := range formData {
|
||||
if key == "model" {
|
||||
continue
|
||||
}
|
||||
for _, value := range values {
|
||||
writer.WriteField(key, value)
|
||||
}
|
||||
}
|
||||
|
||||
// Parse the multipart form to handle both single image and multiple images
|
||||
if err := c.Request.ParseMultipartForm(32 << 20); err != nil { // 32MB max memory
|
||||
return nil, errors.New("failed to parse multipart form")
|
||||
}
|
||||
|
||||
if c.Request.MultipartForm != nil && c.Request.MultipartForm.File != nil {
|
||||
// Check if "image" field exists in any form, including array notation
|
||||
var imageFiles []*multipart.FileHeader
|
||||
var exists bool
|
||||
|
||||
// First check for standard "image" field
|
||||
if imageFiles, exists = c.Request.MultipartForm.File["image"]; !exists || len(imageFiles) == 0 {
|
||||
// If not found, check for "image[]" field
|
||||
if imageFiles, exists = c.Request.MultipartForm.File["image[]"]; !exists || len(imageFiles) == 0 {
|
||||
// If still not found, iterate through all fields to find any that start with "image["
|
||||
foundArrayImages := false
|
||||
for fieldName, files := range c.Request.MultipartForm.File {
|
||||
if strings.HasPrefix(fieldName, "image[") && len(files) > 0 {
|
||||
foundArrayImages = true
|
||||
for _, file := range files {
|
||||
imageFiles = append(imageFiles, file)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// If no image fields found at all
|
||||
if !foundArrayImages && (len(imageFiles) == 0) {
|
||||
return nil, errors.New("image is required")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Process all image files
|
||||
for i, fileHeader := range imageFiles {
|
||||
file, err := fileHeader.Open()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to open image file %d: %w", i, err)
|
||||
}
|
||||
defer file.Close()
|
||||
|
||||
// If multiple images, use image[] as the field name
|
||||
fieldName := "image"
|
||||
if len(imageFiles) > 1 {
|
||||
fieldName = "image[]"
|
||||
}
|
||||
|
||||
// Determine MIME type based on file extension
|
||||
mimeType := detectImageMimeType(fileHeader.Filename)
|
||||
|
||||
// Create a form file with the appropriate content type
|
||||
h := make(textproto.MIMEHeader)
|
||||
h.Set("Content-Disposition", fmt.Sprintf(`form-data; name="%s"; filename="%s"`, fieldName, fileHeader.Filename))
|
||||
h.Set("Content-Type", mimeType)
|
||||
|
||||
part, err := writer.CreatePart(h)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("create form part failed for image %d: %w", i, err)
|
||||
}
|
||||
|
||||
if _, err := io.Copy(part, file); err != nil {
|
||||
return nil, fmt.Errorf("copy file failed for image %d: %w", i, err)
|
||||
}
|
||||
}
|
||||
|
||||
// Handle mask file if present
|
||||
if maskFiles, exists := c.Request.MultipartForm.File["mask"]; exists && len(maskFiles) > 0 {
|
||||
maskFile, err := maskFiles[0].Open()
|
||||
if err != nil {
|
||||
return nil, errors.New("failed to open mask file")
|
||||
}
|
||||
defer maskFile.Close()
|
||||
|
||||
// Determine MIME type for mask file
|
||||
mimeType := detectImageMimeType(maskFiles[0].Filename)
|
||||
|
||||
// Create a form file with the appropriate content type
|
||||
h := make(textproto.MIMEHeader)
|
||||
h.Set("Content-Disposition", fmt.Sprintf(`form-data; name="mask"; filename="%s"`, maskFiles[0].Filename))
|
||||
h.Set("Content-Type", mimeType)
|
||||
|
||||
maskPart, err := writer.CreatePart(h)
|
||||
if err != nil {
|
||||
return nil, errors.New("create form file failed for mask")
|
||||
}
|
||||
|
||||
if _, err := io.Copy(maskPart, maskFile); err != nil {
|
||||
return nil, errors.New("copy mask file failed")
|
||||
}
|
||||
}
|
||||
} else {
|
||||
return nil, errors.New("no multipart form data found")
|
||||
}
|
||||
|
||||
// 关闭 multipart 编写器以设置分界线
|
||||
writer.Close()
|
||||
c.Request.Header.Set("Content-Type", writer.FormDataContentType())
|
||||
return bytes.NewReader(requestBody.Bytes()), nil
|
||||
|
||||
default:
|
||||
return request, nil
|
||||
}
|
||||
}
|
||||
|
||||
// detectImageMimeType determines the MIME type based on the file extension
|
||||
func detectImageMimeType(filename string) string {
|
||||
ext := strings.ToLower(filepath.Ext(filename))
|
||||
switch ext {
|
||||
case ".jpg", ".jpeg":
|
||||
return "image/jpeg"
|
||||
case ".png":
|
||||
return "image/png"
|
||||
case ".webp":
|
||||
return "image/webp"
|
||||
default:
|
||||
// Try to detect from extension if possible
|
||||
if strings.HasPrefix(ext, ".jp") {
|
||||
return "image/jpeg"
|
||||
}
|
||||
// Default to png as a fallback
|
||||
return "image/png"
|
||||
}
|
||||
}
|
||||
|
||||
func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
|
||||
if info.RelayMode == constant.RelayModeAudioTranscription || info.RelayMode == constant.RelayModeAudioTranslation {
|
||||
if info.RelayMode == constant.RelayModeAudioTranscription ||
|
||||
info.RelayMode == constant.RelayModeAudioTranslation ||
|
||||
info.RelayMode == constant.RelayModeImagesEdits {
|
||||
return channel.DoFormRequest(a, c, info, requestBody)
|
||||
} else if info.RelayMode == constant.RelayModeRealtime {
|
||||
return channel.DoWssRequest(a, c, info, requestBody)
|
||||
@@ -259,8 +402,8 @@ func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycom
|
||||
fallthrough
|
||||
case constant.RelayModeAudioTranscription:
|
||||
err, usage = OpenaiSTTHandler(c, resp, info, a.ResponseFormat)
|
||||
case constant.RelayModeImagesGenerations:
|
||||
err, usage = OpenaiTTSHandler(c, resp, info)
|
||||
case constant.RelayModeImagesGenerations, constant.RelayModeImagesEdits:
|
||||
err, usage = OpenaiHandlerWithUsage(c, resp, info)
|
||||
case constant.RelayModeRerank:
|
||||
err, usage = common_handler.RerankHandler(c, info, resp)
|
||||
default:
|
||||
|
||||
@@ -595,3 +595,52 @@ func preConsumeUsage(ctx *gin.Context, info *relaycommon.RelayInfo, usage *dto.R
|
||||
err := service.PreWssConsumeQuota(ctx, info, usage)
|
||||
return err
|
||||
}
|
||||
|
||||
func OpenaiHandlerWithUsage(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) {
|
||||
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
|
||||
}
|
||||
// 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])
|
||||
}
|
||||
// reset content length
|
||||
c.Writer.Header().Set("Content-Length", fmt.Sprintf("%d", len(responseBody)))
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = io.Copy(c.Writer, resp.Body)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
var usageResp dto.SimpleResponse
|
||||
err = json.Unmarshal(responseBody, &usageResp)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "parse_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
// format
|
||||
if usageResp.InputTokens > 0 {
|
||||
usageResp.PromptTokens += usageResp.InputTokens
|
||||
}
|
||||
if usageResp.OutputTokens > 0 {
|
||||
usageResp.CompletionTokens += usageResp.OutputTokens
|
||||
}
|
||||
if usageResp.InputTokensDetails != nil {
|
||||
usageResp.PromptTokensDetails.ImageTokens += usageResp.InputTokensDetails.ImageTokens
|
||||
usageResp.PromptTokensDetails.TextTokens += usageResp.InputTokensDetails.TextTokens
|
||||
}
|
||||
return nil, &usageResp.Usage
|
||||
}
|
||||
|
||||
@@ -12,6 +12,7 @@ const (
|
||||
RelayModeEmbeddings
|
||||
RelayModeModerations
|
||||
RelayModeImagesGenerations
|
||||
RelayModeImagesEdits
|
||||
RelayModeEdits
|
||||
|
||||
RelayModeMidjourneyImagine
|
||||
@@ -56,6 +57,8 @@ func Path2RelayMode(path string) int {
|
||||
relayMode = RelayModeModerations
|
||||
} else if strings.HasPrefix(path, "/v1/images/generations") {
|
||||
relayMode = RelayModeImagesGenerations
|
||||
} else if strings.HasPrefix(path, "/v1/images/edits") {
|
||||
relayMode = RelayModeImagesEdits
|
||||
} else if strings.HasPrefix(path, "/v1/edits") {
|
||||
relayMode = RelayModeEdits
|
||||
} else if strings.HasPrefix(path, "/v1/audio/speech") {
|
||||
|
||||
@@ -15,14 +15,15 @@ type PriceData struct {
|
||||
ModelRatio float64
|
||||
CompletionRatio float64
|
||||
CacheRatio float64
|
||||
CacheCreationRatio float64
|
||||
ImageRatio float64
|
||||
GroupRatio float64
|
||||
UsePrice bool
|
||||
CacheCreationRatio float64
|
||||
ShouldPreConsumedQuota int
|
||||
}
|
||||
|
||||
func (p PriceData) ToSetting() string {
|
||||
return fmt.Sprintf("ModelPrice: %f, ModelRatio: %f, CompletionRatio: %f, CacheRatio: %f, GroupRatio: %f, UsePrice: %t, CacheCreationRatio: %f, ShouldPreConsumedQuota: %d", p.ModelPrice, p.ModelRatio, p.CompletionRatio, p.CacheRatio, p.GroupRatio, p.UsePrice, p.CacheCreationRatio, p.ShouldPreConsumedQuota)
|
||||
return fmt.Sprintf("ModelPrice: %f, ModelRatio: %f, CompletionRatio: %f, CacheRatio: %f, GroupRatio: %f, UsePrice: %t, CacheCreationRatio: %f, ShouldPreConsumedQuota: %d, ImageRatio: %d", p.ModelPrice, p.ModelRatio, p.CompletionRatio, p.CacheRatio, p.GroupRatio, p.UsePrice, p.CacheCreationRatio, p.ShouldPreConsumedQuota, p.ImageRatio)
|
||||
}
|
||||
|
||||
func ModelPriceHelper(c *gin.Context, info *relaycommon.RelayInfo, promptTokens int, maxTokens int) (PriceData, error) {
|
||||
@@ -32,6 +33,7 @@ func ModelPriceHelper(c *gin.Context, info *relaycommon.RelayInfo, promptTokens
|
||||
var modelRatio float64
|
||||
var completionRatio float64
|
||||
var cacheRatio float64
|
||||
var imageRatio float64
|
||||
var cacheCreationRatio float64
|
||||
if !usePrice {
|
||||
preConsumedTokens := common.PreConsumedQuota
|
||||
@@ -55,6 +57,7 @@ func ModelPriceHelper(c *gin.Context, info *relaycommon.RelayInfo, promptTokens
|
||||
completionRatio = operation_setting.GetCompletionRatio(info.OriginModelName)
|
||||
cacheRatio, _ = operation_setting.GetCacheRatio(info.OriginModelName)
|
||||
cacheCreationRatio, _ = operation_setting.GetCreateCacheRatio(info.OriginModelName)
|
||||
imageRatio, _ = operation_setting.GetImageRatio(info.OriginModelName)
|
||||
ratio := modelRatio * groupRatio
|
||||
preConsumedQuota = int(float64(preConsumedTokens) * ratio)
|
||||
} else {
|
||||
@@ -68,6 +71,7 @@ func ModelPriceHelper(c *gin.Context, info *relaycommon.RelayInfo, promptTokens
|
||||
GroupRatio: groupRatio,
|
||||
UsePrice: usePrice,
|
||||
CacheRatio: cacheRatio,
|
||||
ImageRatio: imageRatio,
|
||||
CacheCreationRatio: cacheCreationRatio,
|
||||
ShouldPreConsumedQuota: preConsumedQuota,
|
||||
}
|
||||
|
||||
+126
-40
@@ -5,21 +5,83 @@ import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/dto"
|
||||
"one-api/model"
|
||||
relaycommon "one-api/relay/common"
|
||||
relayconstant "one-api/relay/constant"
|
||||
"one-api/relay/helper"
|
||||
"one-api/service"
|
||||
"one-api/setting"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
func getAndValidImageRequest(c *gin.Context, info *relaycommon.RelayInfo) (*dto.ImageRequest, error) {
|
||||
imageRequest := &dto.ImageRequest{}
|
||||
|
||||
switch info.RelayMode {
|
||||
case relayconstant.RelayModeImagesEdits:
|
||||
_, err := c.MultipartForm()
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
formData := c.Request.PostForm
|
||||
imageRequest.Prompt = formData.Get("prompt")
|
||||
imageRequest.Model = formData.Get("model")
|
||||
imageRequest.N = common.String2Int(formData.Get("n"))
|
||||
imageRequest.Quality = formData.Get("quality")
|
||||
imageRequest.Size = formData.Get("size")
|
||||
|
||||
if imageRequest.Model == "gpt-image-1" {
|
||||
if imageRequest.Quality == "" {
|
||||
imageRequest.Quality = "standard"
|
||||
}
|
||||
}
|
||||
default:
|
||||
err := common.UnmarshalBodyReusable(c, imageRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
// Not "256x256", "512x512", or "1024x1024"
|
||||
if imageRequest.Model == "dall-e-2" || imageRequest.Model == "dall-e" {
|
||||
if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
|
||||
return nil, errors.New("size must be one of 256x256, 512x512, or 1024x1024, dall-e-3 1024x1792 or 1792x1024")
|
||||
}
|
||||
} else if imageRequest.Model == "dall-e-3" {
|
||||
if imageRequest.Size != "" && imageRequest.Size != "1024x1024" && imageRequest.Size != "1024x1792" && imageRequest.Size != "1792x1024" {
|
||||
return nil, errors.New("size must be one of 256x256, 512x512, or 1024x1024, dall-e-3 1024x1792 or 1792x1024")
|
||||
}
|
||||
if imageRequest.Quality == "" {
|
||||
imageRequest.Quality = "standard"
|
||||
}
|
||||
// N should between 1 and 10
|
||||
//if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
|
||||
// return service.OpenAIErrorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
|
||||
//}
|
||||
}
|
||||
}
|
||||
|
||||
if imageRequest.Prompt == "" {
|
||||
return nil, errors.New("prompt is required")
|
||||
}
|
||||
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-2"
|
||||
}
|
||||
if strings.Contains(imageRequest.Size, "×") {
|
||||
return nil, errors.New("size an unexpected error occurred in the parameter, please use 'x' instead of the multiplication sign '×'")
|
||||
}
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
|
||||
err := common.UnmarshalBodyReusable(c, imageRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
@@ -39,6 +101,10 @@ func getAndValidImageRequest(c *gin.Context, info *relaycommon.RelayInfo) (*dto.
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-2"
|
||||
}
|
||||
// x.ai grok-2-image not support size, quality or style
|
||||
if imageRequest.Size == "empty" {
|
||||
imageRequest.Size = ""
|
||||
}
|
||||
|
||||
// Not "256x256", "512x512", or "1024x1024"
|
||||
if imageRequest.Model == "dall-e-2" || imageRequest.Model == "dall-e" {
|
||||
@@ -86,43 +152,59 @@ func ImageHelper(c *gin.Context) *dto.OpenAIErrorWithStatusCode {
|
||||
|
||||
imageRequest.Model = relayInfo.UpstreamModelName
|
||||
|
||||
priceData, err := helper.ModelPriceHelper(c, relayInfo, 0, 0)
|
||||
priceData, err := helper.ModelPriceHelper(c, relayInfo, len(imageRequest.Prompt), 0)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapperLocal(err, "model_price_error", http.StatusInternalServerError)
|
||||
}
|
||||
var preConsumedQuota int
|
||||
var quota int
|
||||
var userQuota int
|
||||
if !priceData.UsePrice {
|
||||
// modelRatio 16 = modelPrice $0.04
|
||||
// per 1 modelRatio = $0.04 / 16
|
||||
priceData.ModelPrice = 0.0025 * priceData.ModelRatio
|
||||
}
|
||||
|
||||
userQuota, err := model.GetUserQuota(relayInfo.UserId, false)
|
||||
|
||||
sizeRatio := 1.0
|
||||
// Size
|
||||
if imageRequest.Size == "256x256" {
|
||||
sizeRatio = 0.4
|
||||
} else if imageRequest.Size == "512x512" {
|
||||
sizeRatio = 0.45
|
||||
} else if imageRequest.Size == "1024x1024" {
|
||||
sizeRatio = 1
|
||||
} else if imageRequest.Size == "1024x1792" || imageRequest.Size == "1792x1024" {
|
||||
sizeRatio = 2
|
||||
}
|
||||
|
||||
qualityRatio := 1.0
|
||||
if imageRequest.Model == "dall-e-3" && imageRequest.Quality == "hd" {
|
||||
qualityRatio = 2.0
|
||||
if imageRequest.Size == "1024x1792" || imageRequest.Size == "1792x1024" {
|
||||
qualityRatio = 1.5
|
||||
// priceData.ModelPrice = 0.0025 * priceData.ModelRatio
|
||||
var openaiErr *dto.OpenAIErrorWithStatusCode
|
||||
preConsumedQuota, userQuota, openaiErr = preConsumeQuota(c, priceData.ShouldPreConsumedQuota, relayInfo)
|
||||
if openaiErr != nil {
|
||||
return openaiErr
|
||||
}
|
||||
}
|
||||
defer func() {
|
||||
if openaiErr != nil {
|
||||
returnPreConsumedQuota(c, relayInfo, userQuota, preConsumedQuota)
|
||||
}
|
||||
}()
|
||||
|
||||
priceData.ModelPrice *= sizeRatio * qualityRatio * float64(imageRequest.N)
|
||||
quota := int(priceData.ModelPrice * priceData.GroupRatio * common.QuotaPerUnit)
|
||||
} else {
|
||||
sizeRatio := 1.0
|
||||
// Size
|
||||
if imageRequest.Size == "256x256" {
|
||||
sizeRatio = 0.4
|
||||
} else if imageRequest.Size == "512x512" {
|
||||
sizeRatio = 0.45
|
||||
} else if imageRequest.Size == "1024x1024" {
|
||||
sizeRatio = 1
|
||||
} else if imageRequest.Size == "1024x1792" || imageRequest.Size == "1792x1024" {
|
||||
sizeRatio = 2
|
||||
}
|
||||
|
||||
if userQuota-quota < 0 {
|
||||
return service.OpenAIErrorWrapperLocal(fmt.Errorf("image pre-consumed quota failed, user quota: %s, need quota: %s", common.FormatQuota(userQuota), common.FormatQuota(quota)), "insufficient_user_quota", http.StatusForbidden)
|
||||
qualityRatio := 1.0
|
||||
if imageRequest.Model == "dall-e-3" && imageRequest.Quality == "hd" {
|
||||
qualityRatio = 2.0
|
||||
if imageRequest.Size == "1024x1792" || imageRequest.Size == "1792x1024" {
|
||||
qualityRatio = 1.5
|
||||
}
|
||||
}
|
||||
|
||||
// reset model price
|
||||
priceData.ModelPrice *= sizeRatio * qualityRatio * float64(imageRequest.N)
|
||||
quota = int(priceData.ModelPrice * priceData.GroupRatio * common.QuotaPerUnit)
|
||||
userQuota, err = model.GetUserQuota(relayInfo.UserId, false)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapperLocal(err, "get_user_quota_failed", http.StatusInternalServerError)
|
||||
}
|
||||
if userQuota-quota < 0 {
|
||||
return service.OpenAIErrorWrapperLocal(fmt.Errorf("image pre-consumed quota failed, user quota: %s, need quota: %s", common.FormatQuota(userQuota), common.FormatQuota(quota)), "insufficient_user_quota", http.StatusForbidden)
|
||||
}
|
||||
}
|
||||
|
||||
adaptor := GetAdaptor(relayInfo.ApiType)
|
||||
@@ -137,12 +219,15 @@ func ImageHelper(c *gin.Context) *dto.OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapperLocal(err, "convert_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
jsonData, err := json.Marshal(convertedRequest)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapperLocal(err, "json_marshal_failed", http.StatusInternalServerError)
|
||||
if relayInfo.RelayMode == relayconstant.RelayModeImagesEdits {
|
||||
requestBody = convertedRequest.(io.Reader)
|
||||
} else {
|
||||
jsonData, err := json.Marshal(convertedRequest)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapperLocal(err, "json_marshal_failed", http.StatusInternalServerError)
|
||||
}
|
||||
requestBody = bytes.NewBuffer(jsonData)
|
||||
}
|
||||
requestBody = bytes.NewBuffer(jsonData)
|
||||
|
||||
statusCodeMappingStr := c.GetString("status_code_mapping")
|
||||
|
||||
@@ -162,24 +247,25 @@ func ImageHelper(c *gin.Context) *dto.OpenAIErrorWithStatusCode {
|
||||
}
|
||||
}
|
||||
|
||||
_, openaiErr := adaptor.DoResponse(c, httpResp, relayInfo)
|
||||
usage, openaiErr := adaptor.DoResponse(c, httpResp, relayInfo)
|
||||
if openaiErr != nil {
|
||||
// reset status code 重置状态码
|
||||
service.ResetStatusCode(openaiErr, statusCodeMappingStr)
|
||||
return openaiErr
|
||||
}
|
||||
|
||||
usage := &dto.Usage{
|
||||
PromptTokens: imageRequest.N,
|
||||
TotalTokens: imageRequest.N,
|
||||
if usage.(*dto.Usage).TotalTokens == 0 {
|
||||
usage.(*dto.Usage).TotalTokens = imageRequest.N
|
||||
}
|
||||
if usage.(*dto.Usage).PromptTokens == 0 {
|
||||
usage.(*dto.Usage).PromptTokens = imageRequest.N
|
||||
}
|
||||
|
||||
quality := "standard"
|
||||
if imageRequest.Quality == "hd" {
|
||||
quality = "hd"
|
||||
}
|
||||
|
||||
logContent := fmt.Sprintf("大小 %s, 品质 %s", imageRequest.Size, quality)
|
||||
postConsumeQuota(c, relayInfo, usage, 0, userQuota, priceData, logContent)
|
||||
postConsumeQuota(c, relayInfo, usage.(*dto.Usage), preConsumedQuota, userQuota, priceData, logContent)
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -331,12 +331,14 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
|
||||
useTimeSeconds := time.Now().Unix() - relayInfo.StartTime.Unix()
|
||||
promptTokens := usage.PromptTokens
|
||||
cacheTokens := usage.PromptTokensDetails.CachedTokens
|
||||
imageTokens := usage.PromptTokensDetails.ImageTokens
|
||||
completionTokens := usage.CompletionTokens
|
||||
modelName := relayInfo.OriginModelName
|
||||
|
||||
tokenName := ctx.GetString("token_name")
|
||||
completionRatio := priceData.CompletionRatio
|
||||
cacheRatio := priceData.CacheRatio
|
||||
imageRatio := priceData.ImageRatio
|
||||
modelRatio := priceData.ModelRatio
|
||||
groupRatio := priceData.GroupRatio
|
||||
modelPrice := priceData.ModelPrice
|
||||
@@ -344,9 +346,11 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
|
||||
// Convert values to decimal for precise calculation
|
||||
dPromptTokens := decimal.NewFromInt(int64(promptTokens))
|
||||
dCacheTokens := decimal.NewFromInt(int64(cacheTokens))
|
||||
dImageTokens := decimal.NewFromInt(int64(imageTokens))
|
||||
dCompletionTokens := decimal.NewFromInt(int64(completionTokens))
|
||||
dCompletionRatio := decimal.NewFromFloat(completionRatio)
|
||||
dCacheRatio := decimal.NewFromFloat(cacheRatio)
|
||||
dImageRatio := decimal.NewFromFloat(imageRatio)
|
||||
dModelRatio := decimal.NewFromFloat(modelRatio)
|
||||
dGroupRatio := decimal.NewFromFloat(groupRatio)
|
||||
dModelPrice := decimal.NewFromFloat(modelPrice)
|
||||
@@ -358,7 +362,14 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
|
||||
if !priceData.UsePrice {
|
||||
nonCachedTokens := dPromptTokens.Sub(dCacheTokens)
|
||||
cachedTokensWithRatio := dCacheTokens.Mul(dCacheRatio)
|
||||
|
||||
promptQuota := nonCachedTokens.Add(cachedTokensWithRatio)
|
||||
if imageTokens > 0 {
|
||||
nonImageTokens := dPromptTokens.Sub(dImageTokens)
|
||||
imageTokensWithRatio := dImageTokens.Mul(dImageRatio)
|
||||
promptQuota = nonImageTokens.Add(imageTokensWithRatio)
|
||||
}
|
||||
|
||||
completionQuota := dCompletionTokens.Mul(dCompletionRatio)
|
||||
|
||||
quotaCalculateDecimal = promptQuota.Add(completionQuota).Mul(ratio)
|
||||
@@ -414,6 +425,11 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
|
||||
logContent += ", " + extraContent
|
||||
}
|
||||
other := service.GenerateTextOtherInfo(ctx, relayInfo, modelRatio, groupRatio, completionRatio, cacheTokens, cacheRatio, modelPrice)
|
||||
if imageTokens != 0 {
|
||||
other["image"] = true
|
||||
other["image_ratio"] = imageRatio
|
||||
other["image_output"] = imageTokens
|
||||
}
|
||||
model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, promptTokens, completionTokens, logModel,
|
||||
tokenName, quota, logContent, relayInfo.TokenId, userQuota, int(useTimeSeconds), relayInfo.IsStream, relayInfo.Group, other)
|
||||
}
|
||||
|
||||
@@ -40,7 +40,7 @@ func SetRelayRouter(router *gin.Engine) {
|
||||
httpRouter.POST("/chat/completions", controller.Relay)
|
||||
httpRouter.POST("/edits", controller.Relay)
|
||||
httpRouter.POST("/images/generations", controller.Relay)
|
||||
httpRouter.POST("/images/edits", controller.RelayNotImplemented)
|
||||
httpRouter.POST("/images/edits", controller.Relay)
|
||||
httpRouter.POST("/images/variations", controller.RelayNotImplemented)
|
||||
httpRouter.POST("/embeddings", controller.Relay)
|
||||
httpRouter.POST("/engines/:model/embeddings", controller.Relay)
|
||||
|
||||
@@ -51,26 +51,27 @@ var defaultModelRatio = map[string]float64{
|
||||
"gpt-4o-realtime-preview-2024-12-17": 2.5,
|
||||
"gpt-4o-mini-realtime-preview": 0.3,
|
||||
"gpt-4o-mini-realtime-preview-2024-12-17": 0.3,
|
||||
"o1": 7.5,
|
||||
"o1-2024-12-17": 7.5,
|
||||
"o1-preview": 7.5,
|
||||
"o1-preview-2024-09-12": 7.5,
|
||||
"o1-mini": 0.55,
|
||||
"o1-mini-2024-09-12": 0.55,
|
||||
"o3-mini": 0.55,
|
||||
"o3-mini-2025-01-31": 0.55,
|
||||
"o3-mini-high": 0.55,
|
||||
"o3-mini-2025-01-31-high": 0.55,
|
||||
"o3-mini-low": 0.55,
|
||||
"o3-mini-2025-01-31-low": 0.55,
|
||||
"o3-mini-medium": 0.55,
|
||||
"o3-mini-2025-01-31-medium": 0.55,
|
||||
"gpt-4o-mini": 0.075,
|
||||
"gpt-4o-mini-2024-07-18": 0.075,
|
||||
"gpt-4-turbo": 5, // $0.01 / 1K tokens
|
||||
"gpt-4-turbo-2024-04-09": 5, // $0.01 / 1K tokens
|
||||
"gpt-4.5-preview": 37.5,
|
||||
"gpt-4.5-preview-2025-02-27": 37.5,
|
||||
"gpt-image-1": 2.5,
|
||||
"o1": 7.5,
|
||||
"o1-2024-12-17": 7.5,
|
||||
"o1-preview": 7.5,
|
||||
"o1-preview-2024-09-12": 7.5,
|
||||
"o1-mini": 0.55,
|
||||
"o1-mini-2024-09-12": 0.55,
|
||||
"o3-mini": 0.55,
|
||||
"o3-mini-2025-01-31": 0.55,
|
||||
"o3-mini-high": 0.55,
|
||||
"o3-mini-2025-01-31-high": 0.55,
|
||||
"o3-mini-low": 0.55,
|
||||
"o3-mini-2025-01-31-low": 0.55,
|
||||
"o3-mini-medium": 0.55,
|
||||
"o3-mini-2025-01-31-medium": 0.55,
|
||||
"gpt-4o-mini": 0.075,
|
||||
"gpt-4o-mini-2024-07-18": 0.075,
|
||||
"gpt-4-turbo": 5, // $0.01 / 1K tokens
|
||||
"gpt-4-turbo-2024-04-09": 5, // $0.01 / 1K tokens
|
||||
"gpt-4.5-preview": 37.5,
|
||||
"gpt-4.5-preview-2025-02-27": 37.5,
|
||||
//"gpt-3.5-turbo-0301": 0.75, //deprecated
|
||||
"gpt-3.5-turbo": 0.25,
|
||||
"gpt-3.5-turbo-0613": 0.75,
|
||||
@@ -255,10 +256,11 @@ var defaultCompletionRatio = map[string]float64{
|
||||
"gpt-4-gizmo-*": 2,
|
||||
"gpt-4o-gizmo-*": 3,
|
||||
"gpt-4-all": 2,
|
||||
"gpt-image-1": 8,
|
||||
}
|
||||
|
||||
// InitModelSettings initializes all model related settings maps
|
||||
func InitModelSettings() {
|
||||
// InitRatioSettings initializes all model related settings maps
|
||||
func InitRatioSettings() {
|
||||
// Initialize modelPriceMap
|
||||
modelPriceMapMutex.Lock()
|
||||
modelPriceMap = defaultModelPrice
|
||||
@@ -278,6 +280,12 @@ func InitModelSettings() {
|
||||
cacheRatioMapMutex.Lock()
|
||||
cacheRatioMap = defaultCacheRatio
|
||||
cacheRatioMapMutex.Unlock()
|
||||
|
||||
// initialize imageRatioMap
|
||||
imageRatioMapMutex.Lock()
|
||||
imageRatioMap = defaultImageRatio
|
||||
imageRatioMapMutex.Unlock()
|
||||
|
||||
}
|
||||
|
||||
func GetModelPriceMap() map[string]float64 {
|
||||
@@ -509,18 +517,18 @@ func getHardcodedCompletionModelRatio(name string) (float64, bool) {
|
||||
|
||||
func GetAudioRatio(name string) float64 {
|
||||
if strings.Contains(name, "-realtime") {
|
||||
if strings.HasSuffix(name, "gpt-4o-realtime-preview-2024-12-17") {
|
||||
if strings.HasSuffix(name, "gpt-4o-realtime-preview") {
|
||||
return 8
|
||||
} else if strings.Contains(name, "mini") {
|
||||
} else if strings.Contains(name, "gpt-4o-mini-realtime-preview") {
|
||||
return 10 / 0.6
|
||||
} else {
|
||||
return 20
|
||||
}
|
||||
}
|
||||
if strings.Contains(name, "-audio") {
|
||||
if strings.HasSuffix(name, "gpt-4o-audio-preview-2024-12-17") {
|
||||
return 16
|
||||
} else if strings.Contains(name, "mini") {
|
||||
if strings.HasPrefix(name, "gpt-4o-audio-preview") {
|
||||
return 40 / 2.5
|
||||
} else if strings.HasPrefix(name, "gpt-4o-mini-audio-preview") {
|
||||
return 10 / 0.15
|
||||
} else {
|
||||
return 40
|
||||
@@ -548,3 +556,36 @@ func ModelRatio2JSONString() string {
|
||||
}
|
||||
return string(jsonBytes)
|
||||
}
|
||||
|
||||
var defaultImageRatio = map[string]float64{
|
||||
"gpt-image-1": 2,
|
||||
}
|
||||
var imageRatioMap map[string]float64
|
||||
var imageRatioMapMutex sync.RWMutex
|
||||
|
||||
func ImageRatio2JSONString() string {
|
||||
imageRatioMapMutex.RLock()
|
||||
defer imageRatioMapMutex.RUnlock()
|
||||
jsonBytes, err := json.Marshal(imageRatioMap)
|
||||
if err != nil {
|
||||
common.SysError("error marshalling cache ratio: " + err.Error())
|
||||
}
|
||||
return string(jsonBytes)
|
||||
}
|
||||
|
||||
func UpdateImageRatioByJSONString(jsonStr string) error {
|
||||
imageRatioMapMutex.Lock()
|
||||
defer imageRatioMapMutex.Unlock()
|
||||
imageRatioMap = make(map[string]float64)
|
||||
return json.Unmarshal([]byte(jsonStr), &imageRatioMap)
|
||||
}
|
||||
|
||||
func GetImageRatio(name string) (float64, bool) {
|
||||
imageRatioMapMutex.RLock()
|
||||
defer imageRatioMapMutex.RUnlock()
|
||||
ratio, ok := imageRatioMap[name]
|
||||
if !ok {
|
||||
return 1, false // Default to 1 if not found
|
||||
}
|
||||
return ratio, true
|
||||
}
|
||||
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 251 KiB |
@@ -1276,7 +1276,7 @@ const ChannelsTable = () => {
|
||||
<Form.Input
|
||||
field='search_keyword'
|
||||
label={t('搜索渠道关键词')}
|
||||
placeholder={t('搜索渠道的 ID,名称和密钥 ...')}
|
||||
placeholder={t('搜索渠道的 ID,名称,密钥和API地址 ...')}
|
||||
value={searchKeyword}
|
||||
loading={searching}
|
||||
onChange={(v) => {
|
||||
|
||||
@@ -103,9 +103,15 @@ const LogsTable = () => {
|
||||
{t('系统')}
|
||||
</Tag>
|
||||
);
|
||||
case 5:
|
||||
return (
|
||||
<Tag color='red' size='large'>
|
||||
{t('错误')}
|
||||
</Tag>
|
||||
);
|
||||
default:
|
||||
return (
|
||||
<Tag color='black' size='large'>
|
||||
<Tag color='grey' size='large'>
|
||||
{t('未知')}
|
||||
</Tag>
|
||||
);
|
||||
@@ -373,7 +379,7 @@ const LogsTable = () => {
|
||||
className: isAdmin() ? 'tableShow' : 'tableHiddle',
|
||||
render: (text, record, index) => {
|
||||
return isAdminUser ? (
|
||||
record.type === 0 || record.type === 2 ? (
|
||||
record.type === 0 || record.type === 2 || record.type === 5 ? (
|
||||
<div>
|
||||
{
|
||||
<Tooltip content={record.channel_name || '[未知]'}>
|
||||
@@ -426,7 +432,7 @@ const LogsTable = () => {
|
||||
title: t('令牌'),
|
||||
dataIndex: 'token_name',
|
||||
render: (text, record, index) => {
|
||||
return record.type === 0 || record.type === 2 ? (
|
||||
return record.type === 0 || record.type === 2 || record.type === 5 ? (
|
||||
<div>
|
||||
<Tag
|
||||
color='grey'
|
||||
@@ -450,7 +456,7 @@ const LogsTable = () => {
|
||||
title: t('分组'),
|
||||
dataIndex: 'group',
|
||||
render: (text, record, index) => {
|
||||
if (record.type === 0 || record.type === 2) {
|
||||
if (record.type === 0 || record.type === 2 || record.type === 5) {
|
||||
if (record.group) {
|
||||
return <>{renderGroup(record.group)}</>;
|
||||
} else {
|
||||
@@ -490,7 +496,7 @@ const LogsTable = () => {
|
||||
title: t('模型'),
|
||||
dataIndex: 'model_name',
|
||||
render: (text, record, index) => {
|
||||
return record.type === 0 || record.type === 2 ? (
|
||||
return record.type === 0 || record.type === 2 || record.type === 5 ? (
|
||||
<>{renderModelName(record)}</>
|
||||
) : (
|
||||
<></>
|
||||
@@ -530,7 +536,7 @@ const LogsTable = () => {
|
||||
title: t('提示'),
|
||||
dataIndex: 'prompt_tokens',
|
||||
render: (text, record, index) => {
|
||||
return record.type === 0 || record.type === 2 ? (
|
||||
return record.type === 0 || record.type === 2 || record.type === 5 ? (
|
||||
<>{<span> {text} </span>}</>
|
||||
) : (
|
||||
<></>
|
||||
@@ -543,7 +549,7 @@ const LogsTable = () => {
|
||||
dataIndex: 'completion_tokens',
|
||||
render: (text, record, index) => {
|
||||
return parseInt(text) > 0 &&
|
||||
(record.type === 0 || record.type === 2) ? (
|
||||
(record.type === 0 || record.type === 2 || record.type === 5) ? (
|
||||
<>{<span> {text} </span>}</>
|
||||
) : (
|
||||
<></>
|
||||
@@ -555,7 +561,7 @@ const LogsTable = () => {
|
||||
title: t('花费'),
|
||||
dataIndex: 'quota',
|
||||
render: (text, record, index) => {
|
||||
return record.type === 0 || record.type === 2 ? (
|
||||
return record.type === 0 || record.type === 2 || record.type === 5 ? (
|
||||
<>{renderQuota(text, 6)}</>
|
||||
) : (
|
||||
<></>
|
||||
@@ -920,7 +926,6 @@ const LogsTable = () => {
|
||||
other.completion_ratio,
|
||||
other.model_price,
|
||||
other.group_ratio,
|
||||
other.user_group_ratio,
|
||||
other.cache_ratio || 1.0,
|
||||
other.cache_creation_ratio || 1.0,
|
||||
)
|
||||
@@ -929,7 +934,7 @@ const LogsTable = () => {
|
||||
other.completion_ratio,
|
||||
other.model_price,
|
||||
other.group_ratio,
|
||||
other.user_group_ratio,
|
||||
other?.user_group_ratio,
|
||||
),
|
||||
});
|
||||
}
|
||||
@@ -987,6 +992,9 @@ const LogsTable = () => {
|
||||
other?.group_ratio,
|
||||
other?.cache_tokens || 0,
|
||||
other?.cache_ratio || 1.0,
|
||||
other?.image || false,
|
||||
other?.image_ratio || 0,
|
||||
other?.image_output || 0,
|
||||
);
|
||||
}
|
||||
expandDataLocal.push({
|
||||
@@ -1246,6 +1254,7 @@ const LogsTable = () => {
|
||||
<Select.Option value='2'>{t('消费')}</Select.Option>
|
||||
<Select.Option value='3'>{t('管理')}</Select.Option>
|
||||
<Select.Option value='4'>{t('系统')}</Select.Option>
|
||||
<Select.Option value='5'>{t('错误')}</Select.Option>
|
||||
</Select>
|
||||
<Button
|
||||
theme='light'
|
||||
|
||||
@@ -19,6 +19,7 @@ import {
|
||||
verifyJSON,
|
||||
} from '../helpers/utils';
|
||||
import { API } from '../helpers/api';
|
||||
import axios from "axios";
|
||||
|
||||
const SystemSetting = () => {
|
||||
let [inputs, setInputs] = useState({
|
||||
@@ -374,7 +375,7 @@ const SystemSetting = () => {
|
||||
};
|
||||
|
||||
const submitOIDCSettings = async () => {
|
||||
if (inputs['oidc.well_known'] !== '') {
|
||||
if (inputs['oidc.well_known'] && inputs['oidc.well_known'] !== '') {
|
||||
if (
|
||||
!inputs['oidc.well_known'].startsWith('http://') &&
|
||||
!inputs['oidc.well_known'].startsWith('https://')
|
||||
@@ -383,7 +384,7 @@ const SystemSetting = () => {
|
||||
return;
|
||||
}
|
||||
try {
|
||||
const res = await API.get(inputs['oidc.well_known']);
|
||||
const res = await axios.create().get(inputs['oidc.well_known']);
|
||||
inputs['oidc.authorization_endpoint'] =
|
||||
res.data['authorization_endpoint'];
|
||||
inputs['oidc.token_endpoint'] = res.data['token_endpoint'];
|
||||
|
||||
+105
-35
@@ -314,6 +314,9 @@ export function renderModelPrice(
|
||||
groupRatio,
|
||||
cacheTokens = 0,
|
||||
cacheRatio = 1.0,
|
||||
image = false,
|
||||
imageRatio = 1.0,
|
||||
imageOutputTokens = 0,
|
||||
) {
|
||||
if (modelPrice !== -1) {
|
||||
return i18next.t(
|
||||
@@ -331,10 +334,15 @@ export function renderModelPrice(
|
||||
let inputRatioPrice = modelRatio * 2.0;
|
||||
let completionRatioPrice = modelRatio * 2.0 * completionRatio;
|
||||
let cacheRatioPrice = modelRatio * 2.0 * cacheRatio;
|
||||
let imageRatioPrice = modelRatio * 2.0 * imageRatio;
|
||||
|
||||
// Calculate effective input tokens (non-cached + cached with ratio applied)
|
||||
const effectiveInputTokens =
|
||||
let effectiveInputTokens =
|
||||
inputTokens - cacheTokens + cacheTokens * cacheRatio;
|
||||
// Handle image tokens if present
|
||||
if (image && imageOutputTokens > 0) {
|
||||
effectiveInputTokens = inputTokens - imageOutputTokens + imageOutputTokens * imageRatio;
|
||||
}
|
||||
|
||||
let price =
|
||||
(effectiveInputTokens / 1000000) * inputRatioPrice * groupRatio +
|
||||
@@ -344,13 +352,13 @@ export function renderModelPrice(
|
||||
<>
|
||||
<article>
|
||||
<p>
|
||||
{i18next.t('提示价格:${{price}} / 1M tokens', {
|
||||
{i18next.t('输入价格:${{price}} / 1M tokens', {
|
||||
price: inputRatioPrice,
|
||||
})}
|
||||
</p>
|
||||
<p>
|
||||
{i18next.t(
|
||||
'补全价格:${{price}} * {{completionRatio}} = ${{total}} / 1M tokens (补全倍率: {{completionRatio}})',
|
||||
'输出价格:${{price}} * {{completionRatio}} = ${{total}} / 1M tokens (补全倍率: {{completionRatio}})',
|
||||
{
|
||||
price: inputRatioPrice,
|
||||
total: completionRatioPrice,
|
||||
@@ -370,11 +378,24 @@ export function renderModelPrice(
|
||||
)}
|
||||
</p>
|
||||
)}
|
||||
{image && imageOutputTokens > 0 && (
|
||||
<p>
|
||||
{i18next.t(
|
||||
'图片输入价格:${{price}} * {{ratio}} = ${{total}} / 1M tokens (图片倍率: {{imageRatio}})',
|
||||
{
|
||||
price: imageRatioPrice,
|
||||
ratio: groupRatio,
|
||||
total: imageRatioPrice * groupRatio,
|
||||
imageRatio: imageRatio,
|
||||
},
|
||||
)}
|
||||
</p>
|
||||
)}
|
||||
<p></p>
|
||||
<p>
|
||||
{cacheTokens > 0
|
||||
{cacheTokens > 0 && !image
|
||||
? i18next.t(
|
||||
'提示 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}} + 补全 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
'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}}',
|
||||
{
|
||||
nonCacheInput: inputTokens - cacheTokens,
|
||||
cacheInput: cacheTokens,
|
||||
@@ -386,8 +407,22 @@ 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(
|
||||
'提示 {{input}} tokens / 1M tokens * ${{price}} + 补全 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
'输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
|
||||
{
|
||||
input: inputTokens,
|
||||
price: inputRatioPrice,
|
||||
@@ -405,12 +440,53 @@ export function renderModelPrice(
|
||||
}
|
||||
}
|
||||
|
||||
export function renderLogContent(
|
||||
modelRatio,
|
||||
completionRatio,
|
||||
modelPrice = -1,
|
||||
groupRatio,
|
||||
user_group_ratio,
|
||||
image = false,
|
||||
imageRatio = 1.0,
|
||||
useUserGroupRatio = undefined
|
||||
) {
|
||||
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 ${{price}},{{ratioType}} {{ratio}}', {
|
||||
price: modelPrice,
|
||||
ratioType: ratioLabel,
|
||||
ratio
|
||||
});
|
||||
} else {
|
||||
if (image) {
|
||||
return i18next.t('模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},图片输入倍率 {{imageRatio}},{{ratioType}} {{ratio}}', {
|
||||
modelRatio: modelRatio,
|
||||
completionRatio: completionRatio,
|
||||
imageRatio: imageRatio,
|
||||
ratioType: ratioLabel,
|
||||
ratio
|
||||
});
|
||||
} else {
|
||||
return i18next.t('模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},{{ratioType}} {{ratio}}', {
|
||||
modelRatio: modelRatio,
|
||||
completionRatio: completionRatio,
|
||||
ratioType: ratioLabel,
|
||||
ratio
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export function renderModelPriceSimple(
|
||||
modelRatio,
|
||||
modelPrice = -1,
|
||||
groupRatio,
|
||||
cacheTokens = 0,
|
||||
cacheRatio = 1.0,
|
||||
image = false,
|
||||
imageRatio = 1.0,
|
||||
) {
|
||||
if (modelPrice !== -1) {
|
||||
return i18next.t('价格:${{price}} * 分组:{{ratio}}', {
|
||||
@@ -418,7 +494,28 @@ export function renderModelPriceSimple(
|
||||
ratio: groupRatio,
|
||||
});
|
||||
} else {
|
||||
if (cacheTokens !== 0) {
|
||||
if (image && cacheTokens !== 0) {
|
||||
return i18next.t(
|
||||
'模型: {{ratio}} * {{ratioType}}: {{groupRatio}} * 缓存倍率: {{cacheRatio}} * 图片输入倍率: {{imageRatio}}',
|
||||
{
|
||||
ratio: modelRatio,
|
||||
ratioType: ratioLabel,
|
||||
groupRatio: groupRatio,
|
||||
cacheRatio: cacheRatio,
|
||||
imageRatio: imageRatio,
|
||||
},
|
||||
);
|
||||
} else if (image) {
|
||||
return i18next.t(
|
||||
'模型: {{ratio}} * {{ratioType}}: {{groupRatio}} * 图片输入倍率: {{imageRatio}}',
|
||||
{
|
||||
ratio: modelRatio,
|
||||
ratioType: ratioLabel,
|
||||
groupRatio: groupRatio,
|
||||
imageRatio: imageRatio,
|
||||
},
|
||||
);
|
||||
} else if (cacheTokens !== 0) {
|
||||
return i18next.t(
|
||||
'模型: {{ratio}} * 分组: {{groupRatio}} * 缓存: {{cacheRatio}}',
|
||||
{
|
||||
@@ -882,7 +979,7 @@ export function renderClaudeLogContent(
|
||||
});
|
||||
} else {
|
||||
return i18next.t(
|
||||
'模型倍率 {{modelRatio}},补全倍率 {{completionRatio}},缓存倍率 {{cacheRatio}},缓存创建倍率 {{cacheCreationRatio}},{{ratioType}} {{ratio}}',
|
||||
'模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},缓存倍率 {{cacheRatio}},缓存创建倍率 {{cacheCreationRatio}},{{ratioType}} {{ratio}}',
|
||||
{
|
||||
modelRatio: modelRatio,
|
||||
completionRatio: completionRatio,
|
||||
@@ -933,30 +1030,3 @@ export function renderClaudeModelPriceSimple(
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export function renderLogContent(
|
||||
modelRatio,
|
||||
completionRatio,
|
||||
modelPrice = -1,
|
||||
groupRatio,
|
||||
) {
|
||||
const ratioLabel = false ? i18next.t('专属倍率') : i18next.t('分组倍率');
|
||||
|
||||
if (modelPrice !== -1) {
|
||||
return i18next.t('模型价格 ${{price}},{{ratioType}} {{ratio}}', {
|
||||
price: modelPrice,
|
||||
ratioType: ratioLabel,
|
||||
ratio: groupRatio,
|
||||
});
|
||||
} else {
|
||||
return i18next.t(
|
||||
'模型倍率 {{modelRatio}},补全倍率 {{completionRatio}},{{ratioType}} {{ratio}}',
|
||||
{
|
||||
modelRatio: modelRatio,
|
||||
completionRatio: completionRatio,
|
||||
ratioType: ratioLabel,
|
||||
ratio: groupRatio,
|
||||
},
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -124,7 +124,7 @@
|
||||
"已成功开始测试所有已启用通道,请刷新页面查看结果。": "Successfully started testing all enabled channels. Please refresh page to view results.",
|
||||
"通道 ${name} 余额更新成功!": "Channel ${name} quota updated successfully!",
|
||||
"已更新完毕所有已启用通道余额!": "Updated quota for all enabled channels!",
|
||||
"搜索渠道的 ID,名称和密钥 ...": "Search channel ID, name and key...",
|
||||
"搜索渠道的 ID,名称,密钥和API地址 ...": "Search channel ID, name, key and Base URL...",
|
||||
"名称": "Name",
|
||||
"分组": "Group",
|
||||
"类型": "Type",
|
||||
@@ -492,7 +492,7 @@
|
||||
"请输入默认 API 版本,例如:2023-03-15-preview,该配置可以被实际的请求查询参数所覆盖": "Please enter the default API version, for example: 2023-03-15-preview, this configuration can be overridden by the actual request query parameters",
|
||||
"默认": "default",
|
||||
"图片演示": "Image demo",
|
||||
"注意,系统请求的时模型名称中的点会被剔除,例如:gpt-4.5-preview会请求为gpt-45-preview,所以部署的模型名称需要去掉点": "Note that the dot in the model name requested by the system will be removed, for example: gpt-4.5-preview will be requested as gpt-45-preview, so the deployed model name needs to remove the dot",
|
||||
"注意,系统请求的时模型名称中的点会被剔除,例如:gpt-4.1会请求为gpt-41,所以在Azure部署的时候,部署模型名称需要手动改为gpt-41": "Note that the dot in the model name requested by the system will be removed, for example: gpt-4.1 will be requested as gpt-41, so when deploying on Azure, the deployment model name needs to be manually changed to gpt-41",
|
||||
"模型映射必须是合法的 JSON 格式!": "Model mapping must be in valid JSON format!",
|
||||
"取消无限额度": "Cancel unlimited quota",
|
||||
"取消": "Cancel",
|
||||
@@ -679,7 +679,10 @@
|
||||
"当前分组可用": "Available in current group",
|
||||
"当前分组不可用": "The current group is unavailable",
|
||||
"提示:": "input:",
|
||||
"输入:": "input:",
|
||||
"补全:": "output:",
|
||||
"输出:": "output:",
|
||||
"图片输出:": "Image output:",
|
||||
"模型价格:": "Model price:",
|
||||
"模型:": "Model:",
|
||||
"分组:": "Grouping:",
|
||||
@@ -1054,14 +1057,16 @@
|
||||
"等级": "grade",
|
||||
"钉钉": "DingTalk",
|
||||
"模型价格:${{price}} * 分组倍率:{{ratio}} = ${{total}}": "Model price: ${{price}} * Group ratio: {{ratio}} = ${{total}}",
|
||||
"提示:${{price}} * {{ratio}} = ${{total}} / 1M tokens": "Prompt: ${{price}} * {{ratio}} = ${{total}} / 1M tokens",
|
||||
"补全:${{price}} * {{ratio}} = ${{total}} / 1M tokens": "Completion: ${{price}} * {{ratio}} = ${{total}} / 1M tokens",
|
||||
"音频提示:${{price}} * {{ratio}} * {{audioRatio}} = ${{total}} / 1M tokens": "Audio prompt: ${{price}} * {{ratio}} * {{audioRatio}} = ${{total}} / 1M tokens",
|
||||
"输入:${{price}} * {{ratio}} = ${{total}} / 1M tokens": "Prompt: ${{price}} * {{ratio}} = ${{total}} / 1M tokens",
|
||||
"输出:${{price}} * {{ratio}} = ${{total}} / 1M tokens": "Completion: ${{price}} * {{ratio}} = ${{total}} / 1M tokens",
|
||||
"图片输入:${{price}} * {{ratio}} = ${{total}} / 1M tokens (图片倍率: {{imageRatio}})": "Image input: ${{price}} * {{ratio}} = ${{total}} / 1M tokens (Image ratio: {{imageRatio}})",
|
||||
"音频输入:${{price}} * {{ratio}} * {{audioRatio}} = ${{total}} / 1M tokens": "Audio prompt: ${{price}} * {{ratio}} * {{audioRatio}} = ${{total}} / 1M tokens",
|
||||
"音频提示 {{input}} tokens / 1M tokens * ${{price}} * {{audioRatio}} + 音频补全 {{completion}} tokens / 1M tokens * ${{price}} * {{audioRatio}} * {{audioCompRatio}}": "Audio prompt {{input}} tokens / 1M tokens * ${{price}} * {{audioRatio}} + Audio completion {{completion}} tokens / 1M tokens * ${{price}} * {{audioRatio}} * {{audioCompRatio}}",
|
||||
"音频补全:${{price}} * {{ratio}} * {{audioRatio}} * {{audioCompRatio}} = ${{total}} / 1M tokens": "Audio completion: ${{price}} * {{ratio}} * {{audioRatio}} * {{audioCompRatio}} = ${{total}} / 1M tokens",
|
||||
"音频输出:${{price}} * {{ratio}} * {{audioRatio}} * {{audioCompRatio}} = ${{total}} / 1M tokens": "Audio completion: ${{price}} * {{ratio}} * {{audioRatio}} * {{audioCompRatio}} = ${{total}} / 1M tokens",
|
||||
"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}}": "Input {{nonImageInput}} tokens + Image input {{imageInput}} tokens * {{imageRatio}} / 1M tokens * ${{price}} + Output {{completion}} tokens / 1M tokens * ${{compPrice}} * Group {{ratio}} = ${{total}}",
|
||||
"(文字 + 音频)* 分组倍率 {{ratio}} = ${{total}}": "(Text + Audio) * Group ratio {{ratio}} = ${{total}}",
|
||||
"文字提示 {{input}} tokens / 1M tokens * ${{price}} + 文字补全 {{completion}} tokens / 1M tokens * ${{compPrice}} +": "Text prompt {{input}} tokens / 1M tokens * ${{price}} + Text completion {{completion}} tokens / 1M tokens * ${{compPrice}} +",
|
||||
"提示 {{input}} tokens / 1M tokens * ${{price}} + 补全 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}": "Prompt {{input}} tokens / 1M tokens * ${{price}} + Completion {{completion}} tokens / 1M tokens * ${{compPrice}} * Group {{ratio}} = ${{total}}",
|
||||
"输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}": "Prompt {{input}} tokens / 1M tokens * ${{price}} + Completion {{completion}} tokens / 1M tokens * ${{compPrice}} * Group {{ratio}} = ${{total}}",
|
||||
"价格:${{price}} * 分组:{{ratio}}": "Price: ${{price}} * Group: {{ratio}}",
|
||||
"模型: {{ratio}} * 分组: {{groupRatio}}": "Model: {{ratio}} * Group: {{groupRatio}}",
|
||||
"统计额度": "Statistical quota",
|
||||
|
||||
@@ -24,9 +24,10 @@ import {
|
||||
TextArea,
|
||||
Checkbox,
|
||||
Banner,
|
||||
Modal,
|
||||
Modal, ImagePreview
|
||||
} from '@douyinfe/semi-ui';
|
||||
import { getChannelModels, loadChannelModels } from '../../components/utils.js';
|
||||
import { IconHelpCircle } from '@douyinfe/semi-icons';
|
||||
|
||||
const MODEL_MAPPING_EXAMPLE = {
|
||||
'gpt-3.5-turbo': 'gpt-3.5-turbo-0125',
|
||||
@@ -96,6 +97,8 @@ const EditChannel = (props) => {
|
||||
const [basicModels, setBasicModels] = useState([]);
|
||||
const [fullModels, setFullModels] = useState([]);
|
||||
const [customModel, setCustomModel] = useState('');
|
||||
const [modalImageUrl, setModalImageUrl] = useState('');
|
||||
const [isModalOpenurl, setIsModalOpenurl] = useState(false);
|
||||
const handleInputChange = (name, value) => {
|
||||
if (name === 'base_url' && value.endsWith('/v1')) {
|
||||
Modal.confirm({
|
||||
@@ -472,7 +475,28 @@ const EditChannel = (props) => {
|
||||
<div style={{ marginTop: 10 }}>
|
||||
<Banner
|
||||
type={'warning'}
|
||||
description={t('注意,系统请求的时模型名称中的点会被剔除,例如:gpt-4.5-preview会请求为gpt-45-preview,所以部署的模型名称需要去掉点')}
|
||||
description={
|
||||
<>
|
||||
{t('注意,系统请求的时模型名称中的点会被剔除,例如:gpt-4.1会请求为gpt-41,所以在Azure部署的时候,部署模型名称需要手动改为gpt-41')}
|
||||
<br />
|
||||
<Typography.Text
|
||||
style={{
|
||||
color: 'rgba(var(--semi-blue-5), 1)',
|
||||
userSelect: 'none',
|
||||
cursor: 'pointer',
|
||||
}}
|
||||
onClick={() => {
|
||||
setModalImageUrl(
|
||||
'/azure_model_name.png',
|
||||
);
|
||||
setIsModalOpenurl(true)
|
||||
|
||||
}}
|
||||
>
|
||||
{t('查看示例')}
|
||||
</Typography.Text>
|
||||
</>
|
||||
}
|
||||
></Banner>
|
||||
</div>
|
||||
<div style={{ marginTop: 10 }}>
|
||||
@@ -1109,6 +1133,11 @@ const EditChannel = (props) => {
|
||||
{t('填入模板')}
|
||||
</Typography.Text>
|
||||
</Spin>
|
||||
<ImagePreview
|
||||
src={modalImageUrl}
|
||||
visible={isModalOpenurl}
|
||||
onVisibleChange={(visible) => setIsModalOpenurl(visible)}
|
||||
/>
|
||||
</SideSheet>
|
||||
</>
|
||||
);
|
||||
|
||||
Reference in New Issue
Block a user