mirror of
https://github.com/linux-do/new-api.git
synced 2025-11-08 15:13:42 +08:00
Merge remote-tracking branch 'origin/main'
# Conflicts: # controller/relay-text.go # go.mod # web/src/components/PersonalSetting.js # web/src/components/TokensTable.js # web/src/pages/Home/index.js
This commit is contained in:
@@ -5,13 +5,13 @@ import (
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"encoding/json"
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"errors"
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"fmt"
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"github.com/gin-gonic/gin"
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"io"
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"net/http"
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"one-api/common"
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"one-api/model"
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"strings"
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"github.com/gin-gonic/gin"
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"time"
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)
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const (
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@@ -20,12 +20,18 @@ const (
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APITypePaLM
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APITypeBaidu
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APITypeZhipu
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APITypeAli
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APITypeXunfei
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)
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var httpClient *http.Client
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var impatientHTTPClient *http.Client
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func init() {
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httpClient = &http.Client{}
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impatientHTTPClient = &http.Client{
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Timeout: 5 * time.Second,
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}
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}
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func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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@@ -73,7 +79,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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// map model name
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modelMapping := c.GetString("model_mapping")
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isModelMapped := false
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if modelMapping != "" {
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if modelMapping != "" && modelMapping != "{}" {
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modelMap := make(map[string]string)
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err := json.Unmarshal([]byte(modelMapping), &modelMap)
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if err != nil {
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@@ -94,34 +100,13 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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apiType = APITypePaLM
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case common.ChannelTypeZhipu:
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apiType = APITypeZhipu
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case common.ChannelTypeAli:
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apiType = APITypeAli
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case common.ChannelTypeXunfei:
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apiType = APITypeXunfei
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}
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isStable := c.GetBool("stable")
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//if common.NormalPrice == -1 && strings.HasPrefix(textRequest.Model, "gpt-4") {
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// nowUser, err := model.GetUserById(userId, false)
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// if err != nil {
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// return errorWrapper(err, "get_user_info_failed", http.StatusInternalServerError)
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// }
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// if nowUser.StableMode {
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// group = "svip"
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// isStable = true
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// ////stableRatio = (common.StablePrice / common.BasePrice) * modelRatio
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// //userMaxPrice, _ := strconv.ParseFloat(nowUser.MaxPrice, 64)
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// //if userMaxPrice < common.StablePrice {
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// // return errorWrapper(errors.New("当前低价通道不可用,稳定渠道价格为"+strconv.FormatFloat(common.StablePrice, 'f', -1, 64)+"R/刀"), "当前低价通道不可用", http.StatusInternalServerError)
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// //}
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// //
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// ////ratio = stableRatio * groupRatio
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// //channel, err := model.CacheGetRandomSatisfiedChannel("svip", textRequest.Model)
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// //if err != nil {
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// // message := fmt.Sprintf("当前分组 %s 下对于模型 %s 无可用渠道", "svip", textRequest.Model)
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// // return errorWrapper(errors.New(message), "no_available_channel", http.StatusInternalServerError)
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// //}
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// //channelType = channel.Type
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// } else {
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// return errorWrapper(errors.New("当前低价通道不可用,请稍后再试,或者在后台开启稳定模式"), "当前低价通道不可用", http.StatusInternalServerError)
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// }
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//}
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baseURL := common.ChannelBaseURLs[channelType]
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requestURL := c.Request.URL.String()
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if c.GetString("base_url") != "" {
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@@ -162,10 +147,16 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant"
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case "BLOOMZ-7B":
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fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/bloomz_7b1"
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case "Embedding-V1":
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fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/embedding-v1"
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}
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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fullRequestURL += "?access_token=" + apiKey // TODO: access token expire in 30 days
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var err error
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if apiKey, err = getBaiduAccessToken(apiKey); err != nil {
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return errorWrapper(err, "invalid_baidu_config", http.StatusInternalServerError)
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}
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fullRequestURL += "?access_token=" + apiKey
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case APITypePaLM:
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fullRequestURL = "https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage"
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if baseURL != "" {
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@@ -180,6 +171,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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method = "sse-invoke"
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}
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fullRequestURL = fmt.Sprintf("https://open.bigmodel.cn/api/paas/v3/model-api/%s/%s", textRequest.Model, method)
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case APITypeAli:
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fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation"
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}
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var promptTokens int
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var completionTokens int
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@@ -195,7 +188,6 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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if textRequest.MaxTokens != 0 {
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preConsumedTokens = promptTokens + textRequest.MaxTokens
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}
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//stableRatio := common.GetStableRatio(textRequest.Model)
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modelRatio := common.GetModelRatio(textRequest.Model)
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stableRatio := modelRatio
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groupRatio := common.GetGroupRatio(group)
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@@ -209,7 +201,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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if err != nil {
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return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota > 10*preConsumedQuota {
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err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
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if err != nil {
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return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota > 100*preConsumedQuota {
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// in this case, we do not pre-consume quota
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// because the user has enough quota
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preConsumedQuota = 0
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@@ -239,12 +235,20 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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}
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requestBody = bytes.NewBuffer(jsonStr)
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case APITypeBaidu:
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baiduRequest := requestOpenAI2Baidu(textRequest)
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jsonStr, err := json.Marshal(baiduRequest)
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var jsonData []byte
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var err error
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switch relayMode {
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case RelayModeEmbeddings:
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baiduEmbeddingRequest := embeddingRequestOpenAI2Baidu(textRequest)
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jsonData, err = json.Marshal(baiduEmbeddingRequest)
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default:
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baiduRequest := requestOpenAI2Baidu(textRequest)
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jsonData, err = json.Marshal(baiduRequest)
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}
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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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requestBody = bytes.NewBuffer(jsonStr)
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requestBody = bytes.NewBuffer(jsonData)
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case APITypePaLM:
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palmRequest := requestOpenAI2PaLM(textRequest)
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jsonStr, err := json.Marshal(palmRequest)
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@@ -259,109 +263,114 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
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}
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requestBody = bytes.NewBuffer(jsonStr)
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}
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req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
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if err != nil {
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return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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switch apiType {
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case APITypeOpenAI:
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if channelType == common.ChannelTypeAzure {
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req.Header.Set("api-key", apiKey)
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} else {
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req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
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case APITypeAli:
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aliRequest := requestOpenAI2Ali(textRequest)
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jsonStr, err := json.Marshal(aliRequest)
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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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case APITypeClaude:
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req.Header.Set("x-api-key", apiKey)
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anthropicVersion := c.Request.Header.Get("anthropic-version")
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if anthropicVersion == "" {
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anthropicVersion = "2023-06-01"
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requestBody = bytes.NewBuffer(jsonStr)
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}
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var req *http.Request
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var resp *http.Response
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isStream := textRequest.Stream
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if apiType != APITypeXunfei { // cause xunfei use websocket
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req, err = http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
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if err != nil {
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return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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switch apiType {
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case APITypeOpenAI:
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if channelType == common.ChannelTypeAzure {
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req.Header.Set("api-key", apiKey)
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} else {
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req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
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}
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case APITypeClaude:
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req.Header.Set("x-api-key", apiKey)
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anthropicVersion := c.Request.Header.Get("anthropic-version")
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if anthropicVersion == "" {
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anthropicVersion = "2023-06-01"
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}
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req.Header.Set("anthropic-version", anthropicVersion)
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case APITypeZhipu:
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token := getZhipuToken(apiKey)
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req.Header.Set("Authorization", token)
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case APITypeAli:
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req.Header.Set("Authorization", "Bearer "+apiKey)
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if textRequest.Stream {
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req.Header.Set("X-DashScope-SSE", "enable")
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}
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}
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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req.Header.Set("Accept", c.Request.Header.Get("Accept"))
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//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
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resp, err = httpClient.Do(req)
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if err != nil {
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return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
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}
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err = req.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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err = c.Request.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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isStream = isStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
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if resp.StatusCode != http.StatusOK {
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return errorWrapper(
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fmt.Errorf("bad status code: %d", resp.StatusCode), "bad_status_code", resp.StatusCode)
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}
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req.Header.Set("anthropic-version", anthropicVersion)
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case APITypeZhipu:
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token := getZhipuToken(apiKey)
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req.Header.Set("Authorization", token)
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}
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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req.Header.Set("Accept", c.Request.Header.Get("Accept"))
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//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
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resp, err := httpClient.Do(req)
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if err != nil {
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return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
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}
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err = req.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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err = c.Request.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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|
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var textResponse TextResponse
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isStream := strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
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var streamResponseText string
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tokenName := c.GetString("token_name")
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channelId := c.GetInt("channel_id")
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defer func() {
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if consumeQuota {
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quota := 0
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completionRatio := 1.0
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if strings.HasPrefix(textRequest.Model, "gpt-3.5") {
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completionRatio = 1.333333
|
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}
|
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if strings.HasPrefix(textRequest.Model, "gpt-4") {
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completionRatio = 2
|
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}
|
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if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu {
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completionTokens = countTokenText(streamResponseText, textRequest.Model)
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} else {
|
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// c.Writer.Flush()
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go func() {
|
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if consumeQuota {
|
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quota := 0
|
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completionRatio := common.GetCompletionRatio(textRequest.Model)
|
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promptTokens = textResponse.Usage.PromptTokens
|
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completionTokens = textResponse.Usage.CompletionTokens
|
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if apiType == APITypeZhipu {
|
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// zhipu's API does not return prompt tokens & completion tokens
|
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promptTokens = textResponse.Usage.TotalTokens
|
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|
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quota = promptTokens + int(float64(completionTokens)*completionRatio)
|
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quota = int(float64(quota) * ratio)
|
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if ratio != 0 && quota <= 0 {
|
||||
quota = 1
|
||||
}
|
||||
totalTokens := promptTokens + completionTokens
|
||||
if totalTokens == 0 {
|
||||
// in this case, must be some error happened
|
||||
// we cannot just return, because we may have to return the pre-consumed quota
|
||||
quota = 0
|
||||
}
|
||||
quotaDelta := quota - preConsumedQuota
|
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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())
|
||||
}
|
||||
if quota != 0 {
|
||||
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
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model.RecordConsumeLog(userId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
|
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
}
|
||||
quota = promptTokens + int(float64(completionTokens)*completionRatio)
|
||||
quota = int(float64(quota) * ratio)
|
||||
if ratio != 0 && quota <= 0 {
|
||||
quota = 1
|
||||
}
|
||||
totalTokens := promptTokens + completionTokens
|
||||
if totalTokens == 0 {
|
||||
// in this case, must be some error happened
|
||||
// we cannot just return, because we may have to return the pre-consumed quota
|
||||
quota = 0
|
||||
}
|
||||
//if strings.HasPrefix(textRequest.Model, "gpt-4") {
|
||||
// if quota < 5000 && quota != 0 {
|
||||
// quota = 5000
|
||||
// }
|
||||
//}
|
||||
quotaDelta := quota - preConsumedQuota
|
||||
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())
|
||||
}
|
||||
if quota != 0 {
|
||||
tokenName := c.GetString("token_name")
|
||||
var logContent string
|
||||
if isStable {
|
||||
logContent = fmt.Sprintf("(稳定模式)模型倍率 %.2f,分组倍率 %.2f", stableRatio, groupRatio)
|
||||
} else {
|
||||
logContent = fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
||||
}
|
||||
model.RecordConsumeLog(userId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent, tokenId)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
channelId := c.GetInt("channel_id")
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
}
|
||||
}()
|
||||
}()
|
||||
switch apiType {
|
||||
case APITypeOpenAI:
|
||||
@@ -370,10 +379,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
streamResponseText = responseText
|
||||
textResponse.Usage.PromptTokens = promptTokens
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := openaiHandler(c, resp, consumeQuota)
|
||||
err, usage := openaiHandler(c, resp, consumeQuota, promptTokens, textRequest.Model)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
@@ -388,7 +398,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
streamResponseText = responseText
|
||||
textResponse.Usage.PromptTokens = promptTokens
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
|
||||
@@ -411,7 +422,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
}
|
||||
return nil
|
||||
} else {
|
||||
err, usage := baiduHandler(c, resp)
|
||||
var err *OpenAIErrorWithStatusCode
|
||||
var usage *Usage
|
||||
switch relayMode {
|
||||
case RelayModeEmbeddings:
|
||||
err, usage = baiduEmbeddingHandler(c, resp)
|
||||
default:
|
||||
err, usage = baiduHandler(c, resp)
|
||||
}
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
@@ -426,7 +444,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
streamResponseText = responseText
|
||||
textResponse.Usage.PromptTokens = promptTokens
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
|
||||
@@ -447,6 +466,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
// zhipu's API does not return prompt tokens & completion tokens
|
||||
textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
|
||||
return nil
|
||||
} else {
|
||||
err, usage := zhipuHandler(c, resp)
|
||||
@@ -456,8 +477,49 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
// zhipu's API does not return prompt tokens & completion tokens
|
||||
textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
|
||||
return nil
|
||||
}
|
||||
case APITypeAli:
|
||||
if isStream {
|
||||
err, usage := aliStreamHandler(c, resp)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
return nil
|
||||
} else {
|
||||
err, usage := aliHandler(c, resp)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
return nil
|
||||
}
|
||||
case APITypeXunfei:
|
||||
if isStream {
|
||||
auth := c.Request.Header.Get("Authorization")
|
||||
auth = strings.TrimPrefix(auth, "Bearer ")
|
||||
splits := strings.Split(auth, "|")
|
||||
if len(splits) != 3 {
|
||||
return errorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest)
|
||||
}
|
||||
err, usage := xunfeiStreamHandler(c, textRequest, splits[0], splits[1], splits[2])
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
return nil
|
||||
} else {
|
||||
return errorWrapper(errors.New("xunfei api does not support non-stream mode"), "invalid_api_type", http.StatusBadRequest)
|
||||
}
|
||||
default:
|
||||
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user