ai-gateway/controller/relay-text.go
2023-07-22 16:18:03 +08:00

530 lines
18 KiB
Go

package controller
import (
"bufio"
"bytes"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"one-api/common"
"one-api/model"
"strings"
"github.com/gin-gonic/gin"
)
const (
APITypeOpenAI = iota
APITypeClaude
APITypePaLM
)
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")
}
// request validation
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)
}
}
// map model name
modelMapping := c.GetString("model_mapping")
isModelMapped := false
if 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
if strings.HasPrefix(textRequest.Model, "claude") {
apiType = APITypeClaude
}
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 {
// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api
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)
// https://github.com/songquanpeng/one-api/issues/67
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)
}
}
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)
}
if userQuota > 10*preConsumedQuota {
// in this case, we do not pre-consume quota
// because the user has enough quota
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 := ClaudeRequest{
Model: textRequest.Model,
Prompt: "",
MaxTokensToSample: textRequest.MaxTokens,
StopSequences: nil,
Temperature: textRequest.Temperature,
TopP: textRequest.TopP,
Stream: textRequest.Stream,
}
if claudeRequest.MaxTokensToSample == 0 {
claudeRequest.MaxTokensToSample = 1000000
}
prompt := ""
for _, message := range textRequest.Messages {
if message.Role == "user" {
prompt += fmt.Sprintf("\n\nHuman: %s", message.Content)
} else if message.Role == "assistant" {
prompt += fmt.Sprintf("\n\nAssistant: %s", message.Content)
} else {
// ignore other roles
}
prompt += "\n\nAssistant:"
}
claudeRequest.Prompt = prompt
jsonStr, err := json.Marshal(claudeRequest)
if err != nil {
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
}
requestBody = bytes.NewBuffer(jsonStr)
}
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"))
}
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)
}
req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
req.Header.Set("Accept", c.Request.Header.Get("Accept"))
//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
client := &http.Client{}
resp, err := client.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)
}
var textResponse TextResponse
isStream := strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
var streamResponseText string
defer func() {
if consumeQuota {
quota := 0
completionRatio := 1.0
if strings.HasPrefix(textRequest.Model, "gpt-3.5") {
completionRatio = 1.333333
}
if strings.HasPrefix(textRequest.Model, "gpt-4") {
completionRatio = 2
}
if isStream {
completionTokens = countTokenText(streamResponseText, textRequest.Model)
} else {
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 {
// in this case, must be some error happened
// we cannot just return, because we may have to return the pre-consumed quota
quota = 0
}
quotaDelta := quota - preConsumedQuota
err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
if err != nil {
common.SysError("error consuming token remain quota: " + err.Error())
}
err = model.CacheUpdateUserQuota(userId)
if err != nil {
common.SysError("error update user quota cache: " + err.Error())
}
if quota != 0 {
tokenName := c.GetString("token_name")
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)
channelId := c.GetInt("channel_id")
model.UpdateChannelUsedQuota(channelId, quota)
}
}
}()
switch apiType {
case APITypeOpenAI:
if isStream {
scanner := bufio.NewScanner(resp.Body)
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
if atEOF && len(data) == 0 {
return 0, nil, nil
}
if i := strings.Index(string(data), "\n"); i >= 0 {
return i + 1, data[0:i], nil
}
if atEOF {
return len(data), data, nil
}
return 0, nil, nil
})
dataChan := make(chan string)
stopChan := make(chan bool)
go func() {
for scanner.Scan() {
data := scanner.Text()
if len(data) < 6 { // ignore blank line or wrong format
continue
}
dataChan <- data
data = data[6:]
if !strings.HasPrefix(data, "[DONE]") {
switch relayMode {
case RelayModeChatCompletions:
var streamResponse ChatCompletionsStreamResponse
err = json.Unmarshal([]byte(data), &streamResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
return
}
for _, choice := range streamResponse.Choices {
streamResponseText += choice.Delta.Content
}
case RelayModeCompletions:
var streamResponse CompletionsStreamResponse
err = json.Unmarshal([]byte(data), &streamResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
return
}
for _, choice := range streamResponse.Choices {
streamResponseText += choice.Text
}
}
}
}
stopChan <- true
}()
c.Writer.Header().Set("Content-Type", "text/event-stream")
c.Writer.Header().Set("Cache-Control", "no-cache")
c.Writer.Header().Set("Connection", "keep-alive")
c.Writer.Header().Set("Transfer-Encoding", "chunked")
c.Writer.Header().Set("X-Accel-Buffering", "no")
c.Stream(func(w io.Writer) bool {
select {
case data := <-dataChan:
if strings.HasPrefix(data, "data: [DONE]") {
data = data[:12]
}
// some implementations may add \r at the end of data
data = strings.TrimSuffix(data, "\r")
c.Render(-1, common.CustomEvent{Data: data})
return true
case <-stopChan:
return false
}
})
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
return nil
} else {
if consumeQuota {
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
}
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
err = json.Unmarshal(responseBody, &textResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
}
if textResponse.Error.Type != "" {
return &OpenAIErrorWithStatusCode{
OpenAIError: textResponse.Error,
StatusCode: resp.StatusCode,
}
}
// Reset response body
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
}
// We shouldn't set the header before we parse the response body, because the parse part may fail.
// And then we will have to send an error response, but in this case, the header has already been set.
// So the client will be confused by the response.
// For example, Postman will report error, and we cannot check the response at all.
for k, v := range resp.Header {
c.Writer.Header().Set(k, v[0])
}
c.Writer.WriteHeader(resp.StatusCode)
_, err = io.Copy(c.Writer, resp.Body)
if err != nil {
return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
}
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
return nil
}
case APITypeClaude:
if isStream {
responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
createdTime := common.GetTimestamp()
scanner := bufio.NewScanner(resp.Body)
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
if atEOF && len(data) == 0 {
return 0, nil, nil
}
if i := strings.Index(string(data), "\r\n\r\n"); i >= 0 {
return i + 4, data[0:i], nil
}
if atEOF {
return len(data), data, nil
}
return 0, nil, nil
})
dataChan := make(chan string)
stopChan := make(chan bool)
go func() {
for scanner.Scan() {
data := scanner.Text()
if !strings.HasPrefix(data, "event: completion") {
continue
}
data = strings.TrimPrefix(data, "event: completion\r\ndata: ")
dataChan <- data
}
stopChan <- true
}()
c.Writer.Header().Set("Content-Type", "text/event-stream")
c.Writer.Header().Set("Cache-Control", "no-cache")
c.Writer.Header().Set("Connection", "keep-alive")
c.Writer.Header().Set("Transfer-Encoding", "chunked")
c.Writer.Header().Set("X-Accel-Buffering", "no")
c.Stream(func(w io.Writer) bool {
select {
case data := <-dataChan:
// some implementations may add \r at the end of data
data = strings.TrimSuffix(data, "\r")
var claudeResponse ClaudeResponse
err = json.Unmarshal([]byte(data), &claudeResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
return true
}
streamResponseText += claudeResponse.Completion
var choice ChatCompletionsStreamResponseChoice
choice.Delta.Content = claudeResponse.Completion
choice.FinishReason = stopReasonClaude2OpenAI(claudeResponse.StopReason)
var response ChatCompletionsStreamResponse
response.Id = responseId
response.Created = createdTime
response.Object = "chat.completion.chunk"
response.Model = textRequest.Model
response.Choices = []ChatCompletionsStreamResponseChoice{choice}
jsonStr, err := json.Marshal(response)
if err != nil {
common.SysError("error marshalling stream response: " + err.Error())
return true
}
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
return true
case <-stopChan:
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
return false
}
})
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
return nil
} else {
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
}
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
var claudeResponse ClaudeResponse
err = json.Unmarshal(responseBody, &claudeResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
}
if claudeResponse.Error.Type != "" {
return &OpenAIErrorWithStatusCode{
OpenAIError: OpenAIError{
Message: claudeResponse.Error.Message,
Type: claudeResponse.Error.Type,
Param: "",
Code: claudeResponse.Error.Type,
},
StatusCode: resp.StatusCode,
}
}
choice := OpenAITextResponseChoice{
Index: 0,
Message: Message{
Role: "assistant",
Content: strings.TrimPrefix(claudeResponse.Completion, " "),
Name: nil,
},
FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason),
}
completionTokens := countTokenText(claudeResponse.Completion, textRequest.Model)
fullTextResponse := OpenAITextResponse{
Id: fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
Object: "chat.completion",
Created: common.GetTimestamp(),
Choices: []OpenAITextResponseChoice{choice},
Usage: Usage{
PromptTokens: promptTokens,
CompletionTokens: completionTokens,
TotalTokens: promptTokens + promptTokens,
},
}
textResponse.Usage = fullTextResponse.Usage
jsonResponse, err := json.Marshal(fullTextResponse)
if err != nil {
return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError)
}
c.Writer.Header().Set("Content-Type", "application/json")
c.Writer.WriteHeader(resp.StatusCode)
_, err = c.Writer.Write(jsonResponse)
return nil
}
default:
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
}
}