mirror of
https://github.com/linux-do/new-api.git
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582 lines
18 KiB
Go
582 lines
18 KiB
Go
package controller
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import (
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"bytes"
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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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"time"
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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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)
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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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channelType := c.GetInt("channel")
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tokenId := c.GetInt("token_id")
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userId := c.GetInt("id")
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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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if consumeQuota || channelType == common.ChannelTypeAzure || channelType == common.ChannelTypePaLM {
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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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}
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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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}
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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 := fmt.Sprintf("%s%s", baseURL, requestURL)
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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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fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task)
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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 "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 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 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 = countTokenMessages(textRequest.Messages, textRequest.Model)
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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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preConsumedTokens := common.PreConsumedQuota
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if textRequest.MaxTokens != 0 {
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preConsumedTokens = promptTokens + textRequest.MaxTokens
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}
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modelRatio := common.GetModelRatio(textRequest.Model)
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groupRatio := common.GetGroupRatio(group)
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ratio := modelRatio * groupRatio
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preConsumedQuota := int(float64(preConsumedTokens) * ratio)
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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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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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}
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if consumeQuota && preConsumedQuota > 0 {
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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 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 APITypeAIProxyLibrary:
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aiProxyLibraryRequest := requestOpenAI2AIProxyLibrary(textRequest)
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aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
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jsonStr, err := json.Marshal(aiProxyLibraryRequest)
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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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}
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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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// 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
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req.GetBody = func() (io.ReadCloser, error) {
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return io.NopCloser(requestBody), nil
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}
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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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if channelType == common.ChannelTypeOpenRouter {
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req.Header.Set("HTTP-Referer", "https://github.com/songquanpeng/one-api")
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req.Header.Set("X-Title", "One API")
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}
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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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default:
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req.Header.Set("Authorization", "Bearer "+apiKey)
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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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req.Close = true
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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 relayErrorHandler(resp)
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}
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}
|
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var textResponse TextResponse
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tokenName := c.GetString("token_name")
|
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channelId := c.GetInt("channel_id")
|
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|
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defer func() {
|
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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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quota = promptTokens + int(float64(completionTokens)*completionRatio)
|
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quota = int(float64(quota) * ratio)
|
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if ratio != 0 && quota <= 0 {
|
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quota = 1
|
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}
|
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totalTokens := promptTokens + completionTokens
|
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if totalTokens == 0 {
|
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// in this case, must be some error happened
|
||
// we cannot just return, because we may have to return the pre-consumed quota
|
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quota = 0
|
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}
|
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quotaDelta := quota - preConsumedQuota
|
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err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
|
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if err != nil {
|
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common.SysError("error consuming token remain quota: " + err.Error())
|
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}
|
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err = model.CacheUpdateUserQuota(userId)
|
||
if err != nil {
|
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common.SysError("error update user quota cache: " + err.Error())
|
||
}
|
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if quota != 0 {
|
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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)
|
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
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model.UpdateChannelUsedQuota(channelId, quota)
|
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}
|
||
}
|
||
}()
|
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}()
|
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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)
|
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return nil
|
||
} else {
|
||
err, usage := openaiHandler(c, resp, consumeQuota, promptTokens, textRequest.Model)
|
||
if err != nil {
|
||
return err
|
||
}
|
||
if usage != nil {
|
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textResponse.Usage = *usage
|
||
}
|
||
return nil
|
||
}
|
||
case APITypeClaude:
|
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if isStream {
|
||
err, responseText := claudeStreamHandler(c, resp)
|
||
if err != nil {
|
||
return err
|
||
}
|
||
textResponse.Usage.PromptTokens = promptTokens
|
||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
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return nil
|
||
} else {
|
||
err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
|
||
if err != nil {
|
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return err
|
||
}
|
||
if usage != nil {
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||
textResponse.Usage = *usage
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}
|
||
return nil
|
||
}
|
||
case APITypeBaidu:
|
||
if isStream {
|
||
err, usage := baiduStreamHandler(c, resp)
|
||
if err != nil {
|
||
return err
|
||
}
|
||
if usage != nil {
|
||
textResponse.Usage = *usage
|
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}
|
||
return nil
|
||
} else {
|
||
var err *OpenAIErrorWithStatusCode
|
||
var usage *Usage
|
||
switch relayMode {
|
||
case RelayModeEmbeddings:
|
||
err, usage = baiduEmbeddingHandler(c, resp)
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||
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 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:
|
||
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)
|
||
}
|
||
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
|
||
}
|
||
default:
|
||
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
|
||
}
|
||
}
|