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@@ -1,752 +0,0 @@
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-package controller
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-
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-import (
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- "bytes"
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- "context"
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- "encoding/json"
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- "errors"
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- "fmt"
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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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- "time"
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-
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- "github.com/gin-gonic/gin"
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-)
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-
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-const (
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- APITypeOpenAI = iota
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- APITypeClaude
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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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- APITypeAIProxyLibrary
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- APITypeTencent
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- APITypeGemini
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-)
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-
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-var httpClient *http.Client
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-var impatientHTTPClient *http.Client
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-
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-func init() {
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- if common.RelayTimeout == 0 {
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- httpClient = &http.Client{}
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- } else {
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- httpClient = &http.Client{
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- Timeout: time.Duration(common.RelayTimeout) * time.Second,
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- }
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- }
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-
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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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-
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-func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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- channelType := c.GetInt("channel")
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- channelId := c.GetInt("channel_id")
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- tokenId := c.GetInt("token_id")
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- userId := c.GetInt("id")
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- group := c.GetString("group")
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- tokenUnlimited := c.GetBool("token_unlimited_quota")
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- startTime := time.Now()
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- var textRequest GeneralOpenAIRequest
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-
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- err := common.UnmarshalBodyReusable(c, &textRequest)
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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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- 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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- }
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- switch relayMode {
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- case RelayModeCompletions:
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- if textRequest.Prompt == "" {
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- return errorWrapper(errors.New("field prompt is required"), "required_field_missing", http.StatusBadRequest)
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- }
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- case RelayModeChatCompletions:
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- if textRequest.Messages == nil || len(textRequest.Messages) == 0 {
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- return errorWrapper(errors.New("field messages is required"), "required_field_missing", http.StatusBadRequest)
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- }
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- case RelayModeEmbeddings:
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- case RelayModeModerations:
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- if textRequest.Input == "" {
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- return errorWrapper(errors.New("field input is required"), "required_field_missing", http.StatusBadRequest)
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- }
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- case RelayModeEdits:
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- if textRequest.Instruction == "" {
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- return errorWrapper(errors.New("field instruction is required"), "required_field_missing", http.StatusBadRequest)
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- }
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- }
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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 != "" && 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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- return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
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- }
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- if modelMap[textRequest.Model] != "" {
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- textRequest.Model = modelMap[textRequest.Model]
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- isModelMapped = true
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- }
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- }
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- apiType := APITypeOpenAI
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- switch channelType {
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- case common.ChannelTypeAnthropic:
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- apiType = APITypeClaude
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- case common.ChannelTypeBaidu:
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- apiType = APITypeBaidu
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- case common.ChannelTypePaLM:
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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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- case common.ChannelTypeAIProxyLibrary:
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- apiType = APITypeAIProxyLibrary
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- case common.ChannelTypeTencent:
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- apiType = APITypeTencent
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- case common.ChannelTypeGemini:
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- apiType = APITypeGemini
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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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- baseURL = c.GetString("base_url")
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- }
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- fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
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- switch apiType {
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- case APITypeOpenAI:
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- if channelType == common.ChannelTypeAzure {
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- // https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api
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- query := c.Request.URL.Query()
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- apiVersion := query.Get("api-version")
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- if apiVersion == "" {
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- apiVersion = c.GetString("api_version")
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- }
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- requestURL := strings.Split(requestURL, "?")[0]
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- requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion)
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- baseURL = c.GetString("base_url")
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- task := strings.TrimPrefix(requestURL, "/v1/")
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- model_ := textRequest.Model
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- model_ = strings.Replace(model_, ".", "", -1)
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- // https://github.com/songquanpeng/one-api/issues/67
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- model_ = strings.TrimSuffix(model_, "-0301")
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- model_ = strings.TrimSuffix(model_, "-0314")
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- model_ = strings.TrimSuffix(model_, "-0613")
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- requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
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- fullRequestURL = getFullRequestURL(baseURL, requestURL, channelType)
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- }
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- case APITypeClaude:
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- fullRequestURL = "https://api.anthropic.com/v1/complete"
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- if baseURL != "" {
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- fullRequestURL = fmt.Sprintf("%s/v1/complete", baseURL)
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- }
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- case APITypeBaidu:
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- switch textRequest.Model {
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- case "ERNIE-Bot":
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- fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions"
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- case "ERNIE-Bot-turbo":
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- fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant"
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- case "ERNIE-Bot-4":
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- fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro"
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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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- 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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- fullRequestURL = fmt.Sprintf("%s/v1beta2/models/chat-bison-001:generateMessage", baseURL)
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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 += "?key=" + apiKey
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- case APITypeGemini:
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- requestBaseURL := "https://generativelanguage.googleapis.com"
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- if baseURL != "" {
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- requestBaseURL = baseURL
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- }
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- version := "v1beta"
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- if c.GetString("api_version") != "" {
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- version = c.GetString("api_version")
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- }
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- action := "generateContent"
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- if textRequest.Stream {
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- action = "streamGenerateContent"
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- }
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- fullRequestURL = fmt.Sprintf("%s/%s/models/%s:%s", requestBaseURL, version, textRequest.Model, action)
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- apiKey := c.Request.Header.Get("Authorization")
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- apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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- fullRequestURL += "?key=" + apiKey
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- //log.Println(fullRequestURL)
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-
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- case APITypeZhipu:
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- method := "invoke"
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- if textRequest.Stream {
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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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- if relayMode == RelayModeEmbeddings {
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- fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding"
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- }
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- case APITypeTencent:
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- fullRequestURL = "https://hunyuan.cloud.tencent.com/hyllm/v1/chat/completions"
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- case APITypeAIProxyLibrary:
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- fullRequestURL = fmt.Sprintf("%s/api/library/ask", baseURL)
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- }
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- var promptTokens int
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- var completionTokens int
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- switch relayMode {
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- case RelayModeChatCompletions:
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- promptTokens, err = countTokenMessages(textRequest.Messages, textRequest.Model)
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- if err != nil {
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- return errorWrapper(err, "count_token_messages_failed", http.StatusInternalServerError)
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- }
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- case RelayModeCompletions:
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- promptTokens = countTokenInput(textRequest.Prompt, textRequest.Model)
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- case RelayModeModerations:
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- promptTokens = countTokenInput(textRequest.Input, textRequest.Model)
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- }
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- modelPrice := common.GetModelPrice(textRequest.Model, false)
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- groupRatio := common.GetGroupRatio(group)
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-
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- var preConsumedQuota int
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- var ratio float64
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- var modelRatio float64
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- if modelPrice == -1 {
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- preConsumedTokens := common.PreConsumedQuota
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- if textRequest.MaxTokens != 0 {
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- preConsumedTokens = promptTokens + int(textRequest.MaxTokens)
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- }
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- modelRatio = common.GetModelRatio(textRequest.Model)
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- ratio = modelRatio * groupRatio
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- preConsumedQuota = int(float64(preConsumedTokens) * ratio)
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- } else {
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- preConsumedQuota = int(modelPrice * common.QuotaPerUnit * groupRatio)
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- }
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-
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- userQuota, err := model.CacheGetUserQuota(userId)
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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 < 0 || userQuota-preConsumedQuota < 0 {
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- return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
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- }
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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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- // 用户额度充足,判断令牌额度是否充足
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- if !tokenUnlimited {
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- // 非无限令牌,判断令牌额度是否充足
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- tokenQuota := c.GetInt("token_quota")
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- if tokenQuota > 100*preConsumedQuota {
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- // 令牌额度充足,信任令牌
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- preConsumedQuota = 0
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- common.LogInfo(c.Request.Context(), fmt.Sprintf("user %d quota %d and token %d quota %d are enough, trusted and no need to pre-consume", userId, userQuota, tokenId, tokenQuota))
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- }
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- } else {
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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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- common.LogInfo(c.Request.Context(), fmt.Sprintf("user %d with unlimited token has enough quota %d, trusted and no need to pre-consume", userId, userQuota))
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- }
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- }
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- if preConsumedQuota > 0 {
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- userQuota, err = model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
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- if err != nil {
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- return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
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- }
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- }
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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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- 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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- } else {
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- requestBody = c.Request.Body
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- }
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- switch apiType {
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- case APITypeClaude:
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- claudeRequest := requestOpenAI2Claude(textRequest)
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- jsonStr, err := json.Marshal(claudeRequest)
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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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- case APITypeBaidu:
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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(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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- 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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- case APITypeGemini:
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- geminiChatRequest := requestOpenAI2Gemini(textRequest)
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- jsonStr, err := json.Marshal(geminiChatRequest)
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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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- case APITypeZhipu:
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- zhipuRequest := requestOpenAI2Zhipu(textRequest)
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- jsonStr, err := json.Marshal(zhipuRequest)
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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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- case APITypeAli:
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- var jsonStr []byte
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- var err error
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- switch relayMode {
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- case RelayModeEmbeddings:
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- aliEmbeddingRequest := embeddingRequestOpenAI2Ali(textRequest)
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- jsonStr, err = json.Marshal(aliEmbeddingRequest)
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- default:
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- aliRequest := requestOpenAI2Ali(textRequest)
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- jsonStr, err = json.Marshal(aliRequest)
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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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- case APITypeTencent:
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- apiKey := c.Request.Header.Get("Authorization")
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- apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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- appId, secretId, secretKey, err := parseTencentConfig(apiKey)
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- if err != nil {
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- return errorWrapper(err, "invalid_tencent_config", http.StatusInternalServerError)
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- }
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- tencentRequest := requestOpenAI2Tencent(textRequest)
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- tencentRequest.AppId = appId
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- tencentRequest.SecretId = secretId
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- jsonStr, err := json.Marshal(tencentRequest)
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|
|
- if err != nil {
|
|
|
- return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
|
|
- }
|
|
|
- sign := getTencentSign(*tencentRequest, secretKey)
|
|
|
- c.Request.Header.Set("Authorization", sign)
|
|
|
- requestBody = bytes.NewBuffer(jsonStr)
|
|
|
- case APITypeAIProxyLibrary:
|
|
|
- aiProxyLibraryRequest := requestOpenAI2AIProxyLibrary(textRequest)
|
|
|
- aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
|
|
|
- jsonStr, err := json.Marshal(aiProxyLibraryRequest)
|
|
|
- if err != nil {
|
|
|
- return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
|
|
- }
|
|
|
- requestBody = bytes.NewBuffer(jsonStr)
|
|
|
- }
|
|
|
-
|
|
|
- var req *http.Request
|
|
|
- var resp *http.Response
|
|
|
- isStream := textRequest.Stream
|
|
|
-
|
|
|
- if apiType != APITypeXunfei { // cause xunfei use websocket
|
|
|
- req, err = http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
|
|
|
- // 设置GetBody函数,该函数返回一个新的io.ReadCloser,该io.ReadCloser返回与原始请求体相同的数据
|
|
|
- req.GetBody = func() (io.ReadCloser, error) {
|
|
|
- return io.NopCloser(requestBody), nil
|
|
|
- }
|
|
|
- if err != nil {
|
|
|
- return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
|
|
|
- }
|
|
|
- apiKey := c.Request.Header.Get("Authorization")
|
|
|
- apiKey = strings.TrimPrefix(apiKey, "Bearer ")
|
|
|
- switch apiType {
|
|
|
- case APITypeOpenAI:
|
|
|
- if channelType == common.ChannelTypeAzure {
|
|
|
- req.Header.Set("api-key", apiKey)
|
|
|
- } else {
|
|
|
- req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
|
|
|
- if c.Request.Header.Get("OpenAI-Organization") != "" {
|
|
|
- req.Header.Set("OpenAI-Organization", c.Request.Header.Get("OpenAI-Organization"))
|
|
|
- }
|
|
|
- if channelType == common.ChannelTypeOpenRouter {
|
|
|
- req.Header.Set("HTTP-Referer", "https://github.com/songquanpeng/one-api")
|
|
|
- req.Header.Set("X-Title", "One API")
|
|
|
- }
|
|
|
- }
|
|
|
- case APITypeClaude:
|
|
|
- req.Header.Set("x-api-key", apiKey)
|
|
|
- anthropicVersion := c.Request.Header.Get("anthropic-version")
|
|
|
- if anthropicVersion == "" {
|
|
|
- anthropicVersion = "2023-06-01"
|
|
|
- }
|
|
|
- req.Header.Set("anthropic-version", anthropicVersion)
|
|
|
- case APITypeZhipu:
|
|
|
- token := getZhipuToken(apiKey)
|
|
|
- req.Header.Set("Authorization", token)
|
|
|
- case APITypeAli:
|
|
|
- req.Header.Set("Authorization", "Bearer "+apiKey)
|
|
|
- if textRequest.Stream {
|
|
|
- req.Header.Set("X-DashScope-SSE", "enable")
|
|
|
- }
|
|
|
- case APITypeTencent:
|
|
|
- req.Header.Set("Authorization", apiKey)
|
|
|
- case APITypeGemini:
|
|
|
- req.Header.Set("Content-Type", "application/json")
|
|
|
- default:
|
|
|
- req.Header.Set("Authorization", "Bearer "+apiKey)
|
|
|
- }
|
|
|
- if apiType != APITypeGemini {
|
|
|
- // 设置公共头部...
|
|
|
- req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
|
|
|
- req.Header.Set("Accept", c.Request.Header.Get("Accept"))
|
|
|
- if isStream && c.Request.Header.Get("Accept") == "" {
|
|
|
- req.Header.Set("Accept", "text/event-stream")
|
|
|
- }
|
|
|
- }
|
|
|
- //req.HeaderBar.Set("Connection", c.Request.HeaderBar.Get("Connection"))
|
|
|
- resp, err = httpClient.Do(req)
|
|
|
- if err != nil {
|
|
|
- return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
|
|
|
- }
|
|
|
- err = req.Body.Close()
|
|
|
- if err != nil {
|
|
|
- return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
|
|
|
- }
|
|
|
- err = c.Request.Body.Close()
|
|
|
- if err != nil {
|
|
|
- return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
|
|
|
- }
|
|
|
- isStream = isStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
|
|
|
-
|
|
|
- if resp.StatusCode != http.StatusOK {
|
|
|
- if preConsumedQuota != 0 {
|
|
|
- go func(ctx context.Context) {
|
|
|
- // return pre-consumed quota
|
|
|
- err := model.PostConsumeTokenQuota(tokenId, userQuota, -preConsumedQuota, 0, false)
|
|
|
- if err != nil {
|
|
|
- common.LogError(ctx, "error return pre-consumed quota: "+err.Error())
|
|
|
- }
|
|
|
- }(c.Request.Context())
|
|
|
- }
|
|
|
- return relayErrorHandler(resp)
|
|
|
- }
|
|
|
- }
|
|
|
-
|
|
|
- var textResponse TextResponse
|
|
|
- tokenName := c.GetString("token_name")
|
|
|
-
|
|
|
- defer func(ctx context.Context) {
|
|
|
- // c.Writer.Flush()
|
|
|
- go func() {
|
|
|
- useTimeSeconds := time.Now().Unix() - startTime.Unix()
|
|
|
- promptTokens = textResponse.Usage.PromptTokens
|
|
|
- completionTokens = textResponse.Usage.CompletionTokens
|
|
|
-
|
|
|
- quota := 0
|
|
|
- if modelPrice == -1 {
|
|
|
- completionRatio := common.GetCompletionRatio(textRequest.Model)
|
|
|
- quota = promptTokens + int(float64(completionTokens)*completionRatio)
|
|
|
- quota = int(float64(quota) * ratio)
|
|
|
- if ratio != 0 && quota <= 0 {
|
|
|
- quota = 1
|
|
|
- }
|
|
|
- } else {
|
|
|
- quota = int(modelPrice * common.QuotaPerUnit * groupRatio)
|
|
|
- }
|
|
|
- totalTokens := promptTokens + completionTokens
|
|
|
- var logContent string
|
|
|
- if modelPrice == -1 {
|
|
|
- logContent = fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
|
|
- } else {
|
|
|
- logContent = fmt.Sprintf("模型价格 %.2f,分组倍率 %.2f", modelPrice, groupRatio)
|
|
|
- }
|
|
|
-
|
|
|
- // record all the consume log even if quota is 0
|
|
|
- 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
|
|
|
- logContent += fmt.Sprintf("(有疑问请联系管理员)")
|
|
|
- common.LogError(ctx, fmt.Sprintf("total tokens is 0, cannot consume quota, userId %d, channelId %d, tokenId %d, model %s, pre-consumed quota %d", userId, channelId, tokenId, textRequest.Model, preConsumedQuota))
|
|
|
- } else {
|
|
|
- quotaDelta := quota - preConsumedQuota
|
|
|
- err := model.PostConsumeTokenQuota(tokenId, userQuota, quotaDelta, preConsumedQuota, true)
|
|
|
- if err != nil {
|
|
|
- common.LogError(ctx, "error consuming token remain quota: "+err.Error())
|
|
|
- }
|
|
|
- err = model.CacheUpdateUserQuota(userId)
|
|
|
- if err != nil {
|
|
|
- common.LogError(ctx, "error update user quota cache: "+err.Error())
|
|
|
- }
|
|
|
- model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
|
|
- model.UpdateChannelUsedQuota(channelId, quota)
|
|
|
- }
|
|
|
-
|
|
|
- logModel := textRequest.Model
|
|
|
- if strings.HasPrefix(logModel, "gpt-4-gizmo") {
|
|
|
- logModel = "gpt-4-gizmo-*"
|
|
|
- logContent += fmt.Sprintf(",模型 %s", textRequest.Model)
|
|
|
- }
|
|
|
- model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, logModel, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), isStream)
|
|
|
-
|
|
|
- //if quota != 0 {
|
|
|
- //
|
|
|
- //}
|
|
|
- }()
|
|
|
- }(c.Request.Context())
|
|
|
- switch apiType {
|
|
|
- case APITypeOpenAI:
|
|
|
- if isStream {
|
|
|
- err, responseText := openaiStreamHandler(c, resp, relayMode)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- textResponse.Usage.PromptTokens = promptTokens
|
|
|
- textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
|
|
- return nil
|
|
|
- } else {
|
|
|
- err, usage := openaiHandler(c, resp, promptTokens, textRequest.Model)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- case APITypeClaude:
|
|
|
- if isStream {
|
|
|
- err, responseText := claudeStreamHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- textResponse.Usage.PromptTokens = promptTokens
|
|
|
- textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
|
|
- return nil
|
|
|
- } else {
|
|
|
- err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- case APITypeBaidu:
|
|
|
- if isStream {
|
|
|
- err, usage := baiduStreamHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- } else {
|
|
|
- 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
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- case APITypePaLM:
|
|
|
- if textRequest.Stream { // PaLM2 API does not support stream
|
|
|
- err, responseText := palmStreamHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- textResponse.Usage.PromptTokens = promptTokens
|
|
|
- textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
|
|
- return nil
|
|
|
- } else {
|
|
|
- err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- case APITypeGemini:
|
|
|
- if textRequest.Stream {
|
|
|
- err, responseText := geminiChatStreamHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- textResponse.Usage.PromptTokens = promptTokens
|
|
|
- textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
|
|
- return nil
|
|
|
- } else {
|
|
|
- err, usage := geminiChatHandler(c, resp, promptTokens, textRequest.Model)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- case APITypeZhipu:
|
|
|
- if isStream {
|
|
|
- err, usage := zhipuStreamHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- 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)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- 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 {
|
|
|
- var err *OpenAIErrorWithStatusCode
|
|
|
- var usage *Usage
|
|
|
- switch relayMode {
|
|
|
- case RelayModeEmbeddings:
|
|
|
- err, usage = aliEmbeddingHandler(c, resp)
|
|
|
- default:
|
|
|
- err, usage = aliHandler(c, resp)
|
|
|
- }
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- case APITypeXunfei:
|
|
|
- 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)
|
|
|
- }
|
|
|
- var err *OpenAIErrorWithStatusCode
|
|
|
- var usage *Usage
|
|
|
- if isStream {
|
|
|
- err, usage = xunfeiStreamHandler(c, textRequest, splits[0], splits[1], splits[2])
|
|
|
- } else {
|
|
|
- err, usage = xunfeiHandler(c, textRequest, splits[0], splits[1], splits[2])
|
|
|
- }
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- case APITypeAIProxyLibrary:
|
|
|
- if isStream {
|
|
|
- err, usage := aiProxyLibraryStreamHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- } else {
|
|
|
- err, usage := aiProxyLibraryHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- case APITypeTencent:
|
|
|
- if isStream {
|
|
|
- err, responseText := tencentStreamHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- textResponse.Usage.PromptTokens = promptTokens
|
|
|
- textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
|
|
- return nil
|
|
|
- } else {
|
|
|
- err, usage := tencentHandler(c, resp)
|
|
|
- if err != nil {
|
|
|
- return err
|
|
|
- }
|
|
|
- if usage != nil {
|
|
|
- textResponse.Usage = *usage
|
|
|
- }
|
|
|
- return nil
|
|
|
- }
|
|
|
- default:
|
|
|
- return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
|
|
|
- }
|
|
|
-}
|