mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-11-13 11:53:42 +08:00
fix: merge latest change from remote
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@@ -252,6 +252,24 @@ func init() {
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Root: "code-davinci-edit-001",
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Parent: nil,
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},
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{
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Id: "ChatGLM",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "thudm",
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Permission: permission,
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Root: "ChatGLM",
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Parent: nil,
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},
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{
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Id: "ChatGLM2",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "thudm",
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Permission: permission,
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Root: "ChatGLM2",
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Parent: nil,
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},
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}
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openAIModelsMap = make(map[string]OpenAIModels)
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for _, model := range openAIModels {
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@@ -22,26 +22,26 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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consumeQuota := c.GetBool("consume_quota")
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group := c.GetString("group")
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var textRequest GeneralOpenAIRequest
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var imageRequest ImageRequest
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if consumeQuota {
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err := common.UnmarshalBodyReusable(c, &textRequest)
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err := common.UnmarshalBodyReusable(c, &imageRequest)
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if err != nil {
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return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
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}
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}
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// Prompt validation
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if textRequest.Prompt == "" {
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if imageRequest.Prompt == "" {
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return errorWrapper(errors.New("prompt is required"), "required_field_missing", http.StatusBadRequest)
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}
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// Not "256x256", "512x512", or "1024x1024"
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if textRequest.Size != "" && textRequest.Size != "256x256" && textRequest.Size != "512x512" && textRequest.Size != "1024x1024" {
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if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
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return errorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024"), "invalid_field_value", http.StatusBadRequest)
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}
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// N should between 1 to 10
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if textRequest.N != 0 && (textRequest.N < 1 || textRequest.N > 10) {
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// N should between 1 and 10
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if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
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return errorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
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}
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@@ -71,7 +71,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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var requestBody io.Reader
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if isModelMapped {
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jsonStr, err := json.Marshal(textRequest)
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jsonStr, err := json.Marshal(imageRequest)
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if err != nil {
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return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
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}
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@@ -87,14 +87,14 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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sizeRatio := 1.0
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// Size
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if textRequest.Size == "256x256" {
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if imageRequest.Size == "256x256" {
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sizeRatio = 1
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} else if textRequest.Size == "512x512" {
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} else if imageRequest.Size == "512x512" {
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sizeRatio = 1.125
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} else if textRequest.Size == "1024x1024" {
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} else if imageRequest.Size == "1024x1024" {
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sizeRatio = 1.25
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}
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quota := int(ratio * sizeRatio * 1000)
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quota := int(ratio*sizeRatio*1000) * imageRequest.N
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if consumeQuota && userQuota-quota < 0 {
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return errorWrapper(err, "insufficient_user_quota", http.StatusForbidden)
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@@ -33,6 +33,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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if relayMode == RelayModeModerations && textRequest.Model == "" {
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textRequest.Model = "text-moderation-latest"
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}
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if relayMode == RelayModeEmbeddings && textRequest.Model == "" {
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textRequest.Model = c.Param("model")
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}
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// request validation
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if textRequest.Model == "" {
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return errorWrapper(errors.New("model is required"), "required_field_missing", http.StatusBadRequest)
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@@ -478,7 +481,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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if strings.HasPrefix(data, "data: [DONE]") {
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data = data[:12]
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}
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log.Print(data)
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// some implementations may add \r at the end of data
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data = strings.TrimSuffix(data, "\r")
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c.Render(-1, common.CustomEvent{Data: data})
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return true
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case <-stopChan:
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@@ -4,6 +4,7 @@ import (
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"fmt"
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"net/http"
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"one-api/common"
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"strconv"
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"strings"
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"github.com/gin-gonic/gin"
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@@ -59,6 +60,12 @@ type TextRequest struct {
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//Stream bool `json:"stream"`
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}
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type ImageRequest struct {
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Prompt string `json:"prompt"`
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N int `json:"n"`
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Size string `json:"size"`
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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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@@ -139,6 +146,8 @@ func Relay(c *gin.Context) {
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relayMode = RelayModeCompletions
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/embeddings") {
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relayMode = RelayModeEmbeddings
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} else if strings.HasSuffix(c.Request.URL.Path, "embeddings") {
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relayMode = RelayModeEmbeddings
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/moderations") {
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relayMode = RelayModeModerations
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
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@@ -154,16 +163,25 @@ func Relay(c *gin.Context) {
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err = relayTextHelper(c, relayMode)
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}
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if err != nil {
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if err.StatusCode == http.StatusTooManyRequests {
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err.OpenAIError.Message = "当前分组负载已饱和,请稍后再试,或升级账户以提升服务质量。"
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retryTimesStr := c.Query("retry")
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retryTimes, _ := strconv.Atoi(retryTimesStr)
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if retryTimesStr == "" {
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retryTimes = common.RetryTimes
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}
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if retryTimes > 0 {
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c.Redirect(http.StatusTemporaryRedirect, fmt.Sprintf("%s?retry=%d", c.Request.URL.Path, retryTimes-1))
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} else {
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if err.StatusCode == http.StatusTooManyRequests {
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err.OpenAIError.Message = "当前分组负载已饱和,请稍后再试,或升级账户以提升服务质量。"
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}
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c.JSON(err.StatusCode, gin.H{
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"error": err.OpenAIError,
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})
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}
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c.JSON(err.StatusCode, gin.H{
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"error": err.OpenAIError,
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})
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channelId := c.GetInt("channel_id")
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common.SysError(fmt.Sprintf("relay error (channel #%d): %s", channelId, err.Message))
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// https://platform.openai.com/docs/guides/error-codes/api-errors
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if common.AutomaticDisableChannelEnabled && (err.Type == "insufficient_quota" || err.Code == "invalid_api_key") {
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if common.AutomaticDisableChannelEnabled && (err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated") {
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channelId := c.GetInt("channel_id")
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channelName := c.GetString("channel_name")
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disableChannel(channelId, channelName, err.Message)
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