401 lines
12 KiB
Go
401 lines
12 KiB
Go
package controller
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import (
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"bufio"
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"bytes"
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"encoding/json"
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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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)
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type Message struct {
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Role string `json:"role"`
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Content string `json:"content"`
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Name *string `json:"name,omitempty"`
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}
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const (
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RelayModeUnknown = iota
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RelayModeChatCompletions
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RelayModeCompletions
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RelayModeEmbeddings
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RelayModeModeration
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)
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// https://platform.openai.com/docs/api-reference/chat
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type GeneralOpenAIRequest struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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Prompt any `json:"prompt"`
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Stream bool `json:"stream"`
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MaxTokens int `json:"max_tokens"`
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Temperature float64 `json:"temperature"`
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TopP float64 `json:"top_p"`
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N int `json:"n"`
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Input any `json:"input"`
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}
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type ChatRequest struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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MaxTokens int `json:"max_tokens"`
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}
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type TextRequest struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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Prompt string `json:"prompt"`
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MaxTokens int `json:"max_tokens"`
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//Stream bool `json:"stream"`
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}
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type Usage struct {
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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}
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type OpenAIError struct {
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Message string `json:"message"`
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Type string `json:"type"`
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Param string `json:"param"`
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Code any `json:"code"`
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}
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type OpenAIErrorWithStatusCode struct {
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OpenAIError
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StatusCode int `json:"status_code"`
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}
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type TextResponse struct {
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Usage `json:"usage"`
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Error OpenAIError `json:"error"`
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}
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type ChatCompletionsStreamResponse struct {
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Choices []struct {
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Delta struct {
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Content string `json:"content"`
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} `json:"delta"`
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FinishReason string `json:"finish_reason"`
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} `json:"choices"`
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}
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type CompletionsStreamResponse struct {
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Choices []struct {
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Text string `json:"text"`
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FinishReason string `json:"finish_reason"`
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} `json:"choices"`
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}
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func Relay(c *gin.Context) {
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relayMode := RelayModeUnknown
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if strings.HasPrefix(c.Request.URL.Path, "/v1/chat/completions") {
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relayMode = RelayModeChatCompletions
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/completions") {
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relayMode = RelayModeCompletions
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/embeddings") {
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relayMode = RelayModeEmbeddings
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/moderations") {
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relayMode = RelayModeModeration
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}
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err := relayHelper(c, relayMode)
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if err != nil {
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if err.StatusCode == http.StatusTooManyRequests {
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err.OpenAIError.Message = "当前分组负载已饱和，请稍后再试，或升级账户以提升服务质量。"
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}
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c.JSON(err.StatusCode, gin.H{
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"error": err.OpenAIError,
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})
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channelId := c.GetInt("channel_id")
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common.SysError(fmt.Sprintf("Relay error (channel #%d): %s", channelId, err.Message))
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// https://platform.openai.com/docs/guides/error-codes/api-errors
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if common.AutomaticDisableChannelEnabled && (err.Type == "insufficient_quota" || err.Code == "invalid_api_key") {
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channelId := c.GetInt("channel_id")
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channelName := c.GetString("channel_name")
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disableChannel(channelId, channelName, err.Message)
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}
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}
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}
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func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatusCode {
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openAIError := OpenAIError{
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Message: err.Error(),
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Type: "one_api_error",
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Code: code,
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}
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return &OpenAIErrorWithStatusCode{
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OpenAIError: openAIError,
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StatusCode: statusCode,
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}
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}
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func relayHelper(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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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 == RelayModeModeration && textRequest.Model == "" {
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textRequest.Model = "text-moderation-latest"
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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 channelType == common.ChannelTypeCustom {
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baseURL = c.GetString("base_url")
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} else if channelType == common.ChannelTypeOpenAI {
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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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}
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fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
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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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} else if channelType == common.ChannelTypePaLM {
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err := relayPaLM(textRequest, c)
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return err
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}
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var promptTokens 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 RelayModeModeration:
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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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if consumeQuota {
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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.StatusOK)
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}
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}
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req, err := http.NewRequest(c.Request.Method, fullRequestURL, c.Request.Body)
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if err != nil {
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return errorWrapper(err, "new_request_failed", http.StatusOK)
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}
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if channelType == common.ChannelTypeAzure {
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key := c.Request.Header.Get("Authorization")
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key = strings.TrimPrefix(key, "Bearer ")
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req.Header.Set("api-key", key)
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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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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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client := &http.Client{}
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resp, err := client.Do(req)
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if err != nil {
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return errorWrapper(err, "do_request_failed", http.StatusOK)
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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.StatusOK)
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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.StatusOK)
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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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defer func() {
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if consumeQuota {
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quota := 0
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completionRatio := 1.34 // default for gpt-3
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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 {
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responseTokens := countTokenText(streamResponseText, textRequest.Model)
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quota = promptTokens + int(float64(responseTokens)*completionRatio)
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} else {
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quota = textResponse.Usage.PromptTokens + int(float64(textResponse.Usage.CompletionTokens)*completionRatio)
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}
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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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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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userId := c.GetInt("id")
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model.RecordLog(userId, model.LogTypeConsume, fmt.Sprintf("使用模型 %s 消耗 %d 点额度（模型倍率 %.2f，分组倍率 %.2f）", textRequest.Model, quota, modelRatio, groupRatio))
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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channelId := c.GetInt("channel_id")
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model.UpdateChannelUsedQuota(channelId, quota)
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}
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}()
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if isStream {
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scanner := bufio.NewScanner(resp.Body)
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scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
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if atEOF && len(data) == 0 {
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return 0, nil, nil
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}
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if i := strings.Index(string(data), "\n\n"); i >= 0 {
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return i + 2, data[0:i], nil
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}
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if atEOF {
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return len(data), data, nil
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}
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return 0, nil, nil
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})
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dataChan := make(chan string)
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stopChan := make(chan bool)
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go func() {
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for scanner.Scan() {
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data := scanner.Text()
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if len(data) < 6 { // must be something wrong!
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common.SysError("Invalid stream response: " + data)
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continue
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}
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dataChan <- data
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data = data[6:]
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if !strings.HasPrefix(data, "[DONE]") {
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switch relayMode {
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case RelayModeChatCompletions:
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var streamResponse ChatCompletionsStreamResponse
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err = json.Unmarshal([]byte(data), &streamResponse)
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if err != nil {
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common.SysError("Error unmarshalling stream response: " + err.Error())
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return
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}
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for _, choice := range streamResponse.Choices {
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streamResponseText += choice.Delta.Content
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}
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case RelayModeCompletions:
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var streamResponse CompletionsStreamResponse
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err = json.Unmarshal([]byte(data), &streamResponse)
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if err != nil {
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common.SysError("Error unmarshalling stream response: " + err.Error())
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return
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}
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for _, choice := range streamResponse.Choices {
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streamResponseText += choice.Text
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}
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}
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}
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}
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stopChan <- true
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}()
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c.Writer.Header().Set("Content-Type", "text/event-stream")
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c.Writer.Header().Set("Cache-Control", "no-cache")
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c.Writer.Header().Set("Connection", "keep-alive")
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c.Writer.Header().Set("Transfer-Encoding", "chunked")
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c.Writer.Header().Set("X-Accel-Buffering", "no")
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c.Stream(func(w io.Writer) bool {
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select {
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case data := <-dataChan:
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if strings.HasPrefix(data, "data: [DONE]") {
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data = data[:12]
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}
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c.Render(-1, common.CustomEvent{Data: data})
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return true
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case <-stopChan:
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return false
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}
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})
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err = resp.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_response_body_failed", http.StatusOK)
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}
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return nil
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} else {
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if consumeQuota {
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return errorWrapper(err, "read_response_body_failed", http.StatusOK)
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}
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err = resp.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_response_body_failed", http.StatusOK)
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}
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err = json.Unmarshal(responseBody, &textResponse)
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if err != nil {
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return errorWrapper(err, "unmarshal_response_body_failed", http.StatusOK)
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}
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if textResponse.Error.Type != "" {
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return &OpenAIErrorWithStatusCode{
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OpenAIError: textResponse.Error,
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StatusCode: resp.StatusCode,
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}
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}
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// Reset response body
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resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
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}
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// We shouldn't set the header before we parse the response body, because the parse part may fail.
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// And then we will have to send an error response, but in this case, the header has already been set.
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// So the client will be confused by the response.
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// For example, Postman will report error, and we cannot check the response at all.
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for k, v := range resp.Header {
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c.Writer.Header().Set(k, v[0])
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}
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c.Writer.WriteHeader(resp.StatusCode)
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_, err = io.Copy(c.Writer, resp.Body)
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if err != nil {
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return errorWrapper(err, "copy_response_body_failed", http.StatusOK)
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}
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err = resp.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_response_body_failed", http.StatusOK)
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}
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return nil
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}
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}
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func RelayNotImplemented(c *gin.Context) {
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err := OpenAIError{
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Message: "API not implemented",
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Type: "one_api_error",
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Param: "",
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Code: "api_not_implemented",
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}
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c.JSON(http.StatusOK, gin.H{
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"error": err,
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})
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}
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