|
|
package controller |
|
|
|
|
|
import ( |
|
|
"bytes" |
|
|
"encoding/json" |
|
|
"errors" |
|
|
"fmt" |
|
|
"github.com/gin-gonic/gin" |
|
|
"io" |
|
|
"net/http" |
|
|
"one-api/common" |
|
|
"one-api/model" |
|
|
"strings" |
|
|
"time" |
|
|
) |
|
|
|
|
|
const ( |
|
|
APITypeOpenAI = iota |
|
|
APITypeClaude |
|
|
APITypePaLM |
|
|
APITypeBaidu |
|
|
APITypeZhipu |
|
|
APITypeAli |
|
|
APITypeXunfei |
|
|
) |
|
|
|
|
|
var httpClient *http.Client |
|
|
var impatientHTTPClient *http.Client |
|
|
|
|
|
func init() { |
|
|
httpClient = &http.Client{} |
|
|
impatientHTTPClient = &http.Client{ |
|
|
Timeout: 5 * time.Second, |
|
|
} |
|
|
} |
|
|
|
|
|
func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { |
|
|
channelType := c.GetInt("channel") |
|
|
tokenId := c.GetInt("token_id") |
|
|
userId := c.GetInt("id") |
|
|
consumeQuota := c.GetBool("consume_quota") |
|
|
group := c.GetString("group") |
|
|
var textRequest GeneralOpenAIRequest |
|
|
if consumeQuota || channelType == common.ChannelTypeAzure || channelType == common.ChannelTypePaLM { |
|
|
err := common.UnmarshalBodyReusable(c, &textRequest) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest) |
|
|
} |
|
|
} |
|
|
if relayMode == RelayModeModerations && textRequest.Model == "" { |
|
|
textRequest.Model = "text-moderation-latest" |
|
|
} |
|
|
if relayMode == RelayModeEmbeddings && textRequest.Model == "" { |
|
|
textRequest.Model = c.Param("model") |
|
|
} |
|
|
|
|
|
if textRequest.Model == "" { |
|
|
return errorWrapper(errors.New("model is required"), "required_field_missing", http.StatusBadRequest) |
|
|
} |
|
|
switch relayMode { |
|
|
case RelayModeCompletions: |
|
|
if textRequest.Prompt == "" { |
|
|
return errorWrapper(errors.New("field prompt is required"), "required_field_missing", http.StatusBadRequest) |
|
|
} |
|
|
case RelayModeChatCompletions: |
|
|
if textRequest.Messages == nil || len(textRequest.Messages) == 0 { |
|
|
return errorWrapper(errors.New("field messages is required"), "required_field_missing", http.StatusBadRequest) |
|
|
} |
|
|
case RelayModeEmbeddings: |
|
|
case RelayModeModerations: |
|
|
if textRequest.Input == "" { |
|
|
return errorWrapper(errors.New("field input is required"), "required_field_missing", http.StatusBadRequest) |
|
|
} |
|
|
case RelayModeEdits: |
|
|
if textRequest.Instruction == "" { |
|
|
return errorWrapper(errors.New("field instruction is required"), "required_field_missing", http.StatusBadRequest) |
|
|
} |
|
|
} |
|
|
|
|
|
modelMapping := c.GetString("model_mapping") |
|
|
isModelMapped := false |
|
|
if modelMapping != "" && modelMapping != "{}" { |
|
|
modelMap := make(map[string]string) |
|
|
err := json.Unmarshal([]byte(modelMapping), &modelMap) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError) |
|
|
} |
|
|
if modelMap[textRequest.Model] != "" { |
|
|
textRequest.Model = modelMap[textRequest.Model] |
|
|
isModelMapped = true |
|
|
} |
|
|
} |
|
|
apiType := APITypeOpenAI |
|
|
switch channelType { |
|
|
case common.ChannelTypeAnthropic: |
|
|
apiType = APITypeClaude |
|
|
case common.ChannelTypeBaidu: |
|
|
apiType = APITypeBaidu |
|
|
case common.ChannelTypePaLM: |
|
|
apiType = APITypePaLM |
|
|
case common.ChannelTypeZhipu: |
|
|
apiType = APITypeZhipu |
|
|
case common.ChannelTypeAli: |
|
|
apiType = APITypeAli |
|
|
case common.ChannelTypeXunfei: |
|
|
apiType = APITypeXunfei |
|
|
} |
|
|
baseURL := common.ChannelBaseURLs[channelType] |
|
|
requestURL := c.Request.URL.String() |
|
|
if c.GetString("base_url") != "" { |
|
|
baseURL = c.GetString("base_url") |
|
|
} |
|
|
fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL) |
|
|
switch apiType { |
|
|
case APITypeOpenAI: |
|
|
if channelType == common.ChannelTypeAzure { |
|
|
|
|
|
query := c.Request.URL.Query() |
|
|
apiVersion := query.Get("api-version") |
|
|
if apiVersion == "" { |
|
|
apiVersion = c.GetString("api_version") |
|
|
} |
|
|
requestURL := strings.Split(requestURL, "?")[0] |
|
|
requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion) |
|
|
baseURL = c.GetString("base_url") |
|
|
task := strings.TrimPrefix(requestURL, "/v1/") |
|
|
model_ := textRequest.Model |
|
|
model_ = strings.Replace(model_, ".", "", -1) |
|
|
|
|
|
model_ = strings.TrimSuffix(model_, "-0301") |
|
|
model_ = strings.TrimSuffix(model_, "-0314") |
|
|
model_ = strings.TrimSuffix(model_, "-0613") |
|
|
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task) |
|
|
} |
|
|
case APITypeClaude: |
|
|
fullRequestURL = "https://api.anthropic.com/v1/complete" |
|
|
if baseURL != "" { |
|
|
fullRequestURL = fmt.Sprintf("%s/v1/complete", baseURL) |
|
|
} |
|
|
case APITypeBaidu: |
|
|
switch textRequest.Model { |
|
|
case "ERNIE-Bot": |
|
|
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions" |
|
|
case "ERNIE-Bot-turbo": |
|
|
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant" |
|
|
case "BLOOMZ-7B": |
|
|
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/bloomz_7b1" |
|
|
case "Embedding-V1": |
|
|
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/embedding-v1" |
|
|
} |
|
|
apiKey := c.Request.Header.Get("Authorization") |
|
|
apiKey = strings.TrimPrefix(apiKey, "Bearer ") |
|
|
var err error |
|
|
if apiKey, err = getBaiduAccessToken(apiKey); err != nil { |
|
|
return errorWrapper(err, "invalid_baidu_config", http.StatusInternalServerError) |
|
|
} |
|
|
fullRequestURL += "?access_token=" + apiKey |
|
|
case APITypePaLM: |
|
|
fullRequestURL = "https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage" |
|
|
if baseURL != "" { |
|
|
fullRequestURL = fmt.Sprintf("%s/v1beta2/models/chat-bison-001:generateMessage", baseURL) |
|
|
} |
|
|
apiKey := c.Request.Header.Get("Authorization") |
|
|
apiKey = strings.TrimPrefix(apiKey, "Bearer ") |
|
|
fullRequestURL += "?key=" + apiKey |
|
|
case APITypeZhipu: |
|
|
method := "invoke" |
|
|
if textRequest.Stream { |
|
|
method = "sse-invoke" |
|
|
} |
|
|
fullRequestURL = fmt.Sprintf("https://open.bigmodel.cn/api/paas/v3/model-api/%s/%s", textRequest.Model, method) |
|
|
case APITypeAli: |
|
|
fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation" |
|
|
} |
|
|
var promptTokens int |
|
|
var completionTokens int |
|
|
switch relayMode { |
|
|
case RelayModeChatCompletions: |
|
|
promptTokens = countTokenMessages(textRequest.Messages, textRequest.Model) |
|
|
case RelayModeCompletions: |
|
|
promptTokens = countTokenInput(textRequest.Prompt, textRequest.Model) |
|
|
case RelayModeModerations: |
|
|
promptTokens = countTokenInput(textRequest.Input, textRequest.Model) |
|
|
} |
|
|
preConsumedTokens := common.PreConsumedQuota |
|
|
if textRequest.MaxTokens != 0 { |
|
|
preConsumedTokens = promptTokens + textRequest.MaxTokens |
|
|
} |
|
|
modelRatio := common.GetModelRatio(textRequest.Model) |
|
|
groupRatio := common.GetGroupRatio(group) |
|
|
ratio := modelRatio * groupRatio |
|
|
preConsumedQuota := int(float64(preConsumedTokens) * ratio) |
|
|
userQuota, err := model.CacheGetUserQuota(userId) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError) |
|
|
} |
|
|
err = model.CacheDecreaseUserQuota(userId, preConsumedQuota) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError) |
|
|
} |
|
|
if userQuota > 100*preConsumedQuota { |
|
|
|
|
|
|
|
|
preConsumedQuota = 0 |
|
|
} |
|
|
if consumeQuota && preConsumedQuota > 0 { |
|
|
err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden) |
|
|
} |
|
|
} |
|
|
var requestBody io.Reader |
|
|
if isModelMapped { |
|
|
jsonStr, err := json.Marshal(textRequest) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) |
|
|
} |
|
|
requestBody = bytes.NewBuffer(jsonStr) |
|
|
} else { |
|
|
requestBody = c.Request.Body |
|
|
} |
|
|
switch apiType { |
|
|
case APITypeClaude: |
|
|
claudeRequest := requestOpenAI2Claude(textRequest) |
|
|
jsonStr, err := json.Marshal(claudeRequest) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) |
|
|
} |
|
|
requestBody = bytes.NewBuffer(jsonStr) |
|
|
case APITypeBaidu: |
|
|
var jsonData []byte |
|
|
var err error |
|
|
switch relayMode { |
|
|
case RelayModeEmbeddings: |
|
|
baiduEmbeddingRequest := embeddingRequestOpenAI2Baidu(textRequest) |
|
|
jsonData, err = json.Marshal(baiduEmbeddingRequest) |
|
|
default: |
|
|
baiduRequest := requestOpenAI2Baidu(textRequest) |
|
|
jsonData, err = json.Marshal(baiduRequest) |
|
|
} |
|
|
if err != nil { |
|
|
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) |
|
|
} |
|
|
requestBody = bytes.NewBuffer(jsonData) |
|
|
case APITypePaLM: |
|
|
palmRequest := requestOpenAI2PaLM(textRequest) |
|
|
jsonStr, err := json.Marshal(palmRequest) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) |
|
|
} |
|
|
requestBody = bytes.NewBuffer(jsonStr) |
|
|
case APITypeZhipu: |
|
|
zhipuRequest := requestOpenAI2Zhipu(textRequest) |
|
|
jsonStr, err := json.Marshal(zhipuRequest) |
|
|
if err != nil { |
|
|
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) |
|
|
} |
|
|
requestBody = bytes.NewBuffer(jsonStr) |
|
|
case APITypeAli: |
|
|
aliRequest := requestOpenAI2Ali(textRequest) |
|
|
jsonStr, err := json.Marshal(aliRequest) |
|
|
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 { |
|
|
req, err = http.NewRequest(c.Request.Method, fullRequestURL, requestBody) |
|
|
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 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") |
|
|
} |
|
|
} |
|
|
req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type")) |
|
|
req.Header.Set("Accept", c.Request.Header.Get("Accept")) |
|
|
|
|
|
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 { |
|
|
return relayErrorHandler(resp) |
|
|
} |
|
|
} |
|
|
|
|
|
var textResponse TextResponse |
|
|
tokenName := c.GetString("token_name") |
|
|
channelId := c.GetInt("channel_id") |
|
|
|
|
|
defer func() { |
|
|
|
|
|
go func() { |
|
|
if consumeQuota { |
|
|
quota := 0 |
|
|
completionRatio := common.GetCompletionRatio(textRequest.Model) |
|
|
promptTokens = textResponse.Usage.PromptTokens |
|
|
completionTokens = textResponse.Usage.CompletionTokens |
|
|
|
|
|
quota = promptTokens + int(float64(completionTokens)*completionRatio) |
|
|
quota = int(float64(quota) * ratio) |
|
|
if ratio != 0 && quota <= 0 { |
|
|
quota = 1 |
|
|
} |
|
|
totalTokens := promptTokens + completionTokens |
|
|
if totalTokens == 0 { |
|
|
|
|
|
|
|
|
quota = 0 |
|
|
} |
|
|
quotaDelta := quota - preConsumedQuota |
|
|
err := model.PostConsumeTokenQuota(tokenId, quotaDelta) |
|
|
if err != nil { |
|
|
common.SysError("error consuming token remain quota: " + err.Error()) |
|
|
} |
|
|
err = model.CacheUpdateUserQuota(userId) |
|
|
if err != nil { |
|
|
common.SysError("error update user quota cache: " + err.Error()) |
|
|
} |
|
|
if quota != 0 { |
|
|
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) |
|
|
model.UpdateUserUsedQuotaAndRequestCount(userId, quota) |
|
|
|
|
|
model.UpdateChannelUsedQuota(channelId, quota) |
|
|
} |
|
|
} |
|
|
}() |
|
|
}() |
|
|
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, consumeQuota, 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 { |
|
|
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 |
|
|
} |
|
|
|
|
|
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 |
|
|
} |
|
|
|
|
|
textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens |
|
|
return nil |
|
|
} |
|
|
case APITypeAli: |
|
|
if isStream { |
|
|
err, usage := aliStreamHandler(c, resp) |
|
|
if err != nil { |
|
|
return err |
|
|
} |
|
|
if usage != nil { |
|
|
textResponse.Usage = *usage |
|
|
} |
|
|
return nil |
|
|
} else { |
|
|
err, usage := aliHandler(c, resp) |
|
|
if err != nil { |
|
|
return err |
|
|
} |
|
|
if usage != nil { |
|
|
textResponse.Usage = *usage |
|
|
} |
|
|
return nil |
|
|
} |
|
|
case APITypeXunfei: |
|
|
if isStream { |
|
|
auth := c.Request.Header.Get("Authorization") |
|
|
auth = strings.TrimPrefix(auth, "Bearer ") |
|
|
splits := strings.Split(auth, "|") |
|
|
if len(splits) != 3 { |
|
|
return errorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest) |
|
|
} |
|
|
err, usage := xunfeiStreamHandler(c, textRequest, splits[0], splits[1], splits[2]) |
|
|
if err != nil { |
|
|
return err |
|
|
} |
|
|
if usage != nil { |
|
|
textResponse.Usage = *usage |
|
|
} |
|
|
return nil |
|
|
} else { |
|
|
return errorWrapper(errors.New("xunfei api does not support non-stream mode"), "invalid_api_type", http.StatusBadRequest) |
|
|
} |
|
|
default: |
|
|
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError) |
|
|
} |
|
|
} |
|
|
|