mirror of
https://github.com/songquanpeng/one-api.git
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Compare commits
11 Commits
v0.4.10-al
...
v0.5.0-alp
Author | SHA1 | Date | |
---|---|---|---|
|
e6938bd236 | ||
|
8f721d67a5 | ||
|
fcc1e2d568 | ||
|
9a1db61675 | ||
|
3c940113ab | ||
|
0495b9a0d7 | ||
|
12a0e7105e | ||
|
e628b643cd | ||
|
675847bf98 | ||
|
2ff15baf66 | ||
|
4139a7036f |
@@ -61,6 +61,9 @@ _✨ All in one 的 OpenAI 接口,整合各种 API 访问方式,开箱即用
|
||||
1. 支持多种 API 访问渠道:
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||||
+ [x] OpenAI 官方通道(支持配置镜像)
|
||||
+ [x] **Azure OpenAI API**
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||||
+ [x] [Anthropic Claude 系列模型](https://anthropic.com)
|
||||
+ [x] [Google PaLM2 系列模型](https://developers.generativeai.google)
|
||||
+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
|
||||
+ [x] [API Distribute](https://api.gptjk.top/register?aff=QGxj)
|
||||
+ [x] [OpenAI-SB](https://openai-sb.com)
|
||||
+ [x] [API2D](https://api2d.com/r/197971)
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||||
|
@@ -151,6 +151,8 @@ const (
|
||||
ChannelTypePaLM = 11
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||||
ChannelTypeAPI2GPT = 12
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||||
ChannelTypeAIGC2D = 13
|
||||
ChannelTypeAnthropic = 14
|
||||
ChannelTypeBaidu = 15
|
||||
)
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||||
|
||||
var ChannelBaseURLs = []string{
|
||||
@@ -168,4 +170,6 @@ var ChannelBaseURLs = []string{
|
||||
"", // 11
|
||||
"https://api.api2gpt.com", // 12
|
||||
"https://api.aigc2d.com", // 13
|
||||
"https://api.anthropic.com", // 14
|
||||
"https://aip.baidubce.com", // 15
|
||||
}
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||||
|
@@ -4,6 +4,7 @@ import "encoding/json"
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||||
|
||||
// ModelRatio
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||||
// https://platform.openai.com/docs/models/model-endpoint-compatibility
|
||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
|
||||
// https://openai.com/pricing
|
||||
// TODO: when a new api is enabled, check the pricing here
|
||||
// 1 === $0.002 / 1K tokens
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||||
@@ -36,6 +37,11 @@ var ModelRatio = map[string]float64{
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||||
"text-moderation-stable": 0.1,
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||||
"text-moderation-latest": 0.1,
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||||
"dall-e": 8,
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||||
"claude-instant-1": 0.75,
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||||
"claude-2": 30,
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||||
"ERNIE-Bot": 1, // 0.012元/千tokens
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||||
"ERNIE-Bot-turbo": 0.67, // 0.008元/千tokens
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||||
"PaLM-2": 1,
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||||
}
|
||||
|
||||
func ModelRatio2JSONString() string {
|
||||
|
@@ -7,16 +7,19 @@ import (
|
||||
)
|
||||
|
||||
func GetSubscription(c *gin.Context) {
|
||||
var quota int
|
||||
var remainQuota int
|
||||
var usedQuota int
|
||||
var err error
|
||||
var token *model.Token
|
||||
if common.DisplayTokenStatEnabled {
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||||
tokenId := c.GetInt("token_id")
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||||
token, err = model.GetTokenById(tokenId)
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||||
quota = token.RemainQuota
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||||
remainQuota = token.RemainQuota
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||||
usedQuota = token.UsedQuota
|
||||
} else {
|
||||
userId := c.GetInt("id")
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||||
quota, err = model.GetUserQuota(userId)
|
||||
remainQuota, err = model.GetUserQuota(userId)
|
||||
usedQuota, err = model.GetUserUsedQuota(userId)
|
||||
}
|
||||
if err != nil {
|
||||
openAIError := OpenAIError{
|
||||
@@ -28,6 +31,7 @@ func GetSubscription(c *gin.Context) {
|
||||
})
|
||||
return
|
||||
}
|
||||
quota := remainQuota + usedQuota
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||||
amount := float64(quota)
|
||||
if common.DisplayInCurrencyEnabled {
|
||||
amount /= common.QuotaPerUnit
|
||||
|
@@ -14,7 +14,7 @@ import (
|
||||
"time"
|
||||
)
|
||||
|
||||
func testChannel(channel *model.Channel, request ChatRequest) error {
|
||||
func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIError) {
|
||||
switch channel.Type {
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||||
case common.ChannelTypeAzure:
|
||||
request.Model = "gpt-35-turbo"
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||||
@@ -33,11 +33,11 @@ func testChannel(channel *model.Channel, request ChatRequest) error {
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||||
|
||||
jsonData, err := json.Marshal(request)
|
||||
if err != nil {
|
||||
return err
|
||||
return err, nil
|
||||
}
|
||||
req, err := http.NewRequest("POST", requestURL, bytes.NewBuffer(jsonData))
|
||||
if err != nil {
|
||||
return err
|
||||
return err, nil
|
||||
}
|
||||
if channel.Type == common.ChannelTypeAzure {
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req.Header.Set("api-key", channel.Key)
|
||||
@@ -48,18 +48,18 @@ func testChannel(channel *model.Channel, request ChatRequest) error {
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client := &http.Client{}
|
||||
resp, err := client.Do(req)
|
||||
if err != nil {
|
||||
return err
|
||||
return err, nil
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
var response TextResponse
|
||||
err = json.NewDecoder(resp.Body).Decode(&response)
|
||||
if err != nil {
|
||||
return err
|
||||
return err, nil
|
||||
}
|
||||
if response.Usage.CompletionTokens == 0 {
|
||||
return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message))
|
||||
return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error
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||||
}
|
||||
return nil
|
||||
return nil, nil
|
||||
}
|
||||
|
||||
func buildTestRequest() *ChatRequest {
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||||
@@ -94,7 +94,7 @@ func TestChannel(c *gin.Context) {
|
||||
}
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testRequest := buildTestRequest()
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tik := time.Now()
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err = testChannel(channel, *testRequest)
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err, _ = testChannel(channel, *testRequest)
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||||
tok := time.Now()
|
||||
milliseconds := tok.Sub(tik).Milliseconds()
|
||||
go channel.UpdateResponseTime(milliseconds)
|
||||
@@ -158,13 +158,14 @@ func testAllChannels(notify bool) error {
|
||||
continue
|
||||
}
|
||||
tik := time.Now()
|
||||
err := testChannel(channel, *testRequest)
|
||||
err, openaiErr := testChannel(channel, *testRequest)
|
||||
tok := time.Now()
|
||||
milliseconds := tok.Sub(tik).Milliseconds()
|
||||
if err != nil || milliseconds > disableThreshold {
|
||||
if milliseconds > disableThreshold {
|
||||
err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0))
|
||||
}
|
||||
if milliseconds > disableThreshold {
|
||||
err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0))
|
||||
disableChannel(channel.Id, channel.Name, err.Error())
|
||||
}
|
||||
if shouldDisableChannel(openaiErr) {
|
||||
disableChannel(channel.Id, channel.Name, err.Error())
|
||||
}
|
||||
channel.UpdateResponseTime(milliseconds)
|
||||
|
@@ -270,6 +270,51 @@ func init() {
|
||||
Root: "ChatGLM2",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "claude-instant-1",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "anturopic",
|
||||
Permission: permission,
|
||||
Root: "claude-instant-1",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "claude-2",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "anturopic",
|
||||
Permission: permission,
|
||||
Root: "claude-2",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "ERNIE-Bot",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "baidu",
|
||||
Permission: permission,
|
||||
Root: "ERNIE-Bot",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "ERNIE-Bot-turbo",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "baidu",
|
||||
Permission: permission,
|
||||
Root: "ERNIE-Bot-turbo",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "PaLM-2",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "google",
|
||||
Permission: permission,
|
||||
Root: "PaLM-2",
|
||||
Parent: nil,
|
||||
},
|
||||
}
|
||||
openAIModelsMap = make(map[string]OpenAIModels)
|
||||
for _, model := range openAIModels {
|
||||
|
203
controller/relay-baidu.go
Normal file
203
controller/relay-baidu.go
Normal file
@@ -0,0 +1,203 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/flfmc9do2
|
||||
|
||||
type BaiduTokenResponse struct {
|
||||
RefreshToken string `json:"refresh_token"`
|
||||
ExpiresIn int `json:"expires_in"`
|
||||
SessionKey string `json:"session_key"`
|
||||
AccessToken string `json:"access_token"`
|
||||
Scope string `json:"scope"`
|
||||
SessionSecret string `json:"session_secret"`
|
||||
}
|
||||
|
||||
type BaiduMessage struct {
|
||||
Role string `json:"role"`
|
||||
Content string `json:"content"`
|
||||
}
|
||||
|
||||
type BaiduChatRequest struct {
|
||||
Messages []BaiduMessage `json:"messages"`
|
||||
Stream bool `json:"stream"`
|
||||
UserId string `json:"user_id,omitempty"`
|
||||
}
|
||||
|
||||
type BaiduError struct {
|
||||
ErrorCode int `json:"error_code"`
|
||||
ErrorMsg string `json:"error_msg"`
|
||||
}
|
||||
|
||||
type BaiduChatResponse struct {
|
||||
Id string `json:"id"`
|
||||
Object string `json:"object"`
|
||||
Created int64 `json:"created"`
|
||||
Result string `json:"result"`
|
||||
IsTruncated bool `json:"is_truncated"`
|
||||
NeedClearHistory bool `json:"need_clear_history"`
|
||||
Usage Usage `json:"usage"`
|
||||
BaiduError
|
||||
}
|
||||
|
||||
type BaiduChatStreamResponse struct {
|
||||
BaiduChatResponse
|
||||
SentenceId int `json:"sentence_id"`
|
||||
IsEnd bool `json:"is_end"`
|
||||
}
|
||||
|
||||
func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
|
||||
messages := make([]BaiduMessage, 0, len(request.Messages))
|
||||
for _, message := range request.Messages {
|
||||
messages = append(messages, BaiduMessage{
|
||||
Role: message.Role,
|
||||
Content: message.Content,
|
||||
})
|
||||
}
|
||||
return &BaiduChatRequest{
|
||||
Messages: messages,
|
||||
Stream: request.Stream,
|
||||
}
|
||||
}
|
||||
|
||||
func responseBaidu2OpenAI(response *BaiduChatResponse) *OpenAITextResponse {
|
||||
choice := OpenAITextResponseChoice{
|
||||
Index: 0,
|
||||
Message: Message{
|
||||
Role: "assistant",
|
||||
Content: response.Result,
|
||||
},
|
||||
FinishReason: "stop",
|
||||
}
|
||||
fullTextResponse := OpenAITextResponse{
|
||||
Id: response.Id,
|
||||
Object: "chat.completion",
|
||||
Created: response.Created,
|
||||
Choices: []OpenAITextResponseChoice{choice},
|
||||
Usage: response.Usage,
|
||||
}
|
||||
return &fullTextResponse
|
||||
}
|
||||
|
||||
func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCompletionsStreamResponse {
|
||||
var choice ChatCompletionsStreamResponseChoice
|
||||
choice.Delta.Content = baiduResponse.Result
|
||||
choice.FinishReason = "stop"
|
||||
response := ChatCompletionsStreamResponse{
|
||||
Id: baiduResponse.Id,
|
||||
Object: "chat.completion.chunk",
|
||||
Created: baiduResponse.Created,
|
||||
Model: "ernie-bot",
|
||||
Choices: []ChatCompletionsStreamResponseChoice{choice},
|
||||
}
|
||||
return &response
|
||||
}
|
||||
|
||||
func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
var usage Usage
|
||||
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
|
||||
}
|
||||
data = data[6:]
|
||||
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:
|
||||
var baiduResponse BaiduChatStreamResponse
|
||||
err := json.Unmarshal([]byte(data), &baiduResponse)
|
||||
if err != nil {
|
||||
common.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
usage.PromptTokens += baiduResponse.Usage.PromptTokens
|
||||
usage.CompletionTokens += baiduResponse.Usage.CompletionTokens
|
||||
usage.TotalTokens += baiduResponse.Usage.TotalTokens
|
||||
response := streamResponseBaidu2OpenAI(&baiduResponse)
|
||||
jsonResponse, 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(jsonResponse)})
|
||||
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), nil
|
||||
}
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
func baiduHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
var baiduResponse BaiduChatResponse
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &baiduResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if baiduResponse.ErrorMsg != "" {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: OpenAIError{
|
||||
Message: baiduResponse.ErrorMsg,
|
||||
Type: "baidu_error",
|
||||
Param: "",
|
||||
Code: baiduResponse.ErrorCode,
|
||||
},
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
fullTextResponse := responseBaidu2OpenAI(&baiduResponse)
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
return nil, &fullTextResponse.Usage
|
||||
}
|
221
controller/relay-claude.go
Normal file
221
controller/relay-claude.go
Normal file
@@ -0,0 +1,221 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"strings"
|
||||
)
|
||||
|
||||
type ClaudeMetadata struct {
|
||||
UserId string `json:"user_id"`
|
||||
}
|
||||
|
||||
type ClaudeRequest struct {
|
||||
Model string `json:"model"`
|
||||
Prompt string `json:"prompt"`
|
||||
MaxTokensToSample int `json:"max_tokens_to_sample"`
|
||||
StopSequences []string `json:"stop_sequences,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
//ClaudeMetadata `json:"metadata,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
}
|
||||
|
||||
type ClaudeError struct {
|
||||
Type string `json:"type"`
|
||||
Message string `json:"message"`
|
||||
}
|
||||
|
||||
type ClaudeResponse struct {
|
||||
Completion string `json:"completion"`
|
||||
StopReason string `json:"stop_reason"`
|
||||
Model string `json:"model"`
|
||||
Error ClaudeError `json:"error"`
|
||||
}
|
||||
|
||||
func stopReasonClaude2OpenAI(reason string) string {
|
||||
switch reason {
|
||||
case "stop_sequence":
|
||||
return "stop"
|
||||
case "max_tokens":
|
||||
return "length"
|
||||
default:
|
||||
return reason
|
||||
}
|
||||
}
|
||||
|
||||
func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest {
|
||||
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
|
||||
return &claudeRequest
|
||||
}
|
||||
|
||||
func streamResponseClaude2OpenAI(claudeResponse *ClaudeResponse) *ChatCompletionsStreamResponse {
|
||||
var choice ChatCompletionsStreamResponseChoice
|
||||
choice.Delta.Content = claudeResponse.Completion
|
||||
choice.FinishReason = stopReasonClaude2OpenAI(claudeResponse.StopReason)
|
||||
var response ChatCompletionsStreamResponse
|
||||
response.Object = "chat.completion.chunk"
|
||||
response.Model = claudeResponse.Model
|
||||
response.Choices = []ChatCompletionsStreamResponseChoice{choice}
|
||||
return &response
|
||||
}
|
||||
|
||||
func responseClaude2OpenAI(claudeResponse *ClaudeResponse) *OpenAITextResponse {
|
||||
choice := OpenAITextResponseChoice{
|
||||
Index: 0,
|
||||
Message: Message{
|
||||
Role: "assistant",
|
||||
Content: strings.TrimPrefix(claudeResponse.Completion, " "),
|
||||
Name: nil,
|
||||
},
|
||||
FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason),
|
||||
}
|
||||
fullTextResponse := OpenAITextResponse{
|
||||
Id: fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
|
||||
Object: "chat.completion",
|
||||
Created: common.GetTimestamp(),
|
||||
Choices: []OpenAITextResponseChoice{choice},
|
||||
}
|
||||
return &fullTextResponse
|
||||
}
|
||||
|
||||
func claudeStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
|
||||
responseText := ""
|
||||
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
|
||||
}
|
||||
responseText += claudeResponse.Completion
|
||||
response := streamResponseClaude2OpenAI(&claudeResponse)
|
||||
response.Id = responseId
|
||||
response.Created = createdTime
|
||||
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, responseText
|
||||
}
|
||||
|
||||
func claudeHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
var claudeResponse ClaudeResponse
|
||||
err = json.Unmarshal(responseBody, &claudeResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if claudeResponse.Error.Type != "" {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: OpenAIError{
|
||||
Message: claudeResponse.Error.Message,
|
||||
Type: claudeResponse.Error.Type,
|
||||
Param: "",
|
||||
Code: claudeResponse.Error.Type,
|
||||
},
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
fullTextResponse := responseClaude2OpenAI(&claudeResponse)
|
||||
completionTokens := countTokenText(claudeResponse.Completion, model)
|
||||
usage := Usage{
|
||||
PromptTokens: promptTokens,
|
||||
CompletionTokens: completionTokens,
|
||||
TotalTokens: promptTokens + completionTokens,
|
||||
}
|
||||
fullTextResponse.Usage = usage
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
return nil, &usage
|
||||
}
|
133
controller/relay-openai.go
Normal file
133
controller/relay-openai.go
Normal file
@@ -0,0 +1,133 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"strings"
|
||||
)
|
||||
|
||||
func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*OpenAIErrorWithStatusCode, string) {
|
||||
responseText := ""
|
||||
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 {
|
||||
responseText += 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 {
|
||||
responseText += 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, responseText
|
||||
}
|
||||
|
||||
func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
var textResponse TextResponse
|
||||
if consumeQuota {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if textResponse.Error.Type != "" {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: textResponse.Error,
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
// 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), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
return nil, &textResponse.Usage
|
||||
}
|
@@ -1,10 +1,17 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
)
|
||||
|
||||
// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
|
||||
// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
|
||||
|
||||
type PaLMChatMessage struct {
|
||||
Author string `json:"author"`
|
||||
Content string `json:"content"`
|
||||
@@ -15,45 +22,188 @@ type PaLMFilter struct {
|
||||
Message string `json:"message"`
|
||||
}
|
||||
|
||||
// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
|
||||
type PaLMPrompt struct {
|
||||
Messages []PaLMChatMessage `json:"messages"`
|
||||
}
|
||||
|
||||
type PaLMChatRequest struct {
|
||||
Prompt []Message `json:"prompt"`
|
||||
Temperature float64 `json:"temperature"`
|
||||
CandidateCount int `json:"candidateCount"`
|
||||
TopP float64 `json:"topP"`
|
||||
TopK int `json:"topK"`
|
||||
Prompt PaLMPrompt `json:"prompt"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
CandidateCount int `json:"candidateCount,omitempty"`
|
||||
TopP float64 `json:"topP,omitempty"`
|
||||
TopK int `json:"topK,omitempty"`
|
||||
}
|
||||
|
||||
type PaLMError struct {
|
||||
Code int `json:"code"`
|
||||
Message string `json:"message"`
|
||||
Status string `json:"status"`
|
||||
}
|
||||
|
||||
// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
|
||||
type PaLMChatResponse struct {
|
||||
Candidates []Message `json:"candidates"`
|
||||
Messages []Message `json:"messages"`
|
||||
Filters []PaLMFilter `json:"filters"`
|
||||
Candidates []PaLMChatMessage `json:"candidates"`
|
||||
Messages []Message `json:"messages"`
|
||||
Filters []PaLMFilter `json:"filters"`
|
||||
Error PaLMError `json:"error"`
|
||||
}
|
||||
|
||||
func relayPaLM(openAIRequest GeneralOpenAIRequest, c *gin.Context) *OpenAIErrorWithStatusCode {
|
||||
// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage
|
||||
messages := make([]PaLMChatMessage, 0, len(openAIRequest.Messages))
|
||||
for _, message := range openAIRequest.Messages {
|
||||
var author string
|
||||
if message.Role == "user" {
|
||||
author = "0"
|
||||
} else {
|
||||
author = "1"
|
||||
}
|
||||
messages = append(messages, PaLMChatMessage{
|
||||
Author: author,
|
||||
func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
|
||||
palmRequest := PaLMChatRequest{
|
||||
Prompt: PaLMPrompt{
|
||||
Messages: make([]PaLMChatMessage, 0, len(textRequest.Messages)),
|
||||
},
|
||||
Temperature: textRequest.Temperature,
|
||||
CandidateCount: textRequest.N,
|
||||
TopP: textRequest.TopP,
|
||||
TopK: textRequest.MaxTokens,
|
||||
}
|
||||
for _, message := range textRequest.Messages {
|
||||
palmMessage := PaLMChatMessage{
|
||||
Content: message.Content,
|
||||
})
|
||||
}
|
||||
if message.Role == "user" {
|
||||
palmMessage.Author = "0"
|
||||
} else {
|
||||
palmMessage.Author = "1"
|
||||
}
|
||||
palmRequest.Prompt.Messages = append(palmRequest.Prompt.Messages, palmMessage)
|
||||
}
|
||||
request := PaLMChatRequest{
|
||||
Prompt: nil,
|
||||
Temperature: openAIRequest.Temperature,
|
||||
CandidateCount: openAIRequest.N,
|
||||
TopP: openAIRequest.TopP,
|
||||
TopK: openAIRequest.MaxTokens,
|
||||
}
|
||||
// TODO: forward request to PaLM & convert response
|
||||
fmt.Print(request)
|
||||
return nil
|
||||
return &palmRequest
|
||||
}
|
||||
|
||||
func responsePaLM2OpenAI(response *PaLMChatResponse) *OpenAITextResponse {
|
||||
fullTextResponse := OpenAITextResponse{
|
||||
Choices: make([]OpenAITextResponseChoice, 0, len(response.Candidates)),
|
||||
}
|
||||
for i, candidate := range response.Candidates {
|
||||
choice := OpenAITextResponseChoice{
|
||||
Index: i,
|
||||
Message: Message{
|
||||
Role: "assistant",
|
||||
Content: candidate.Content,
|
||||
},
|
||||
FinishReason: "stop",
|
||||
}
|
||||
fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
|
||||
}
|
||||
return &fullTextResponse
|
||||
}
|
||||
|
||||
func streamResponsePaLM2OpenAI(palmResponse *PaLMChatResponse) *ChatCompletionsStreamResponse {
|
||||
var choice ChatCompletionsStreamResponseChoice
|
||||
if len(palmResponse.Candidates) > 0 {
|
||||
choice.Delta.Content = palmResponse.Candidates[0].Content
|
||||
}
|
||||
choice.FinishReason = "stop"
|
||||
var response ChatCompletionsStreamResponse
|
||||
response.Object = "chat.completion.chunk"
|
||||
response.Model = "palm2"
|
||||
response.Choices = []ChatCompletionsStreamResponseChoice{choice}
|
||||
return &response
|
||||
}
|
||||
|
||||
func palmStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
|
||||
responseText := ""
|
||||
responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
|
||||
createdTime := common.GetTimestamp()
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
common.SysError("error reading stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
common.SysError("error closing stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
var palmResponse PaLMChatResponse
|
||||
err = json.Unmarshal(responseBody, &palmResponse)
|
||||
if err != nil {
|
||||
common.SysError("error unmarshalling stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse)
|
||||
fullTextResponse.Id = responseId
|
||||
fullTextResponse.Created = createdTime
|
||||
if len(palmResponse.Candidates) > 0 {
|
||||
responseText = palmResponse.Candidates[0].Content
|
||||
}
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
common.SysError("error marshalling stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
dataChan <- string(jsonResponse)
|
||||
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:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + data})
|
||||
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, responseText
|
||||
}
|
||||
|
||||
func palmHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
var palmResponse PaLMChatResponse
|
||||
err = json.Unmarshal(responseBody, &palmResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if palmResponse.Error.Code != 0 || len(palmResponse.Candidates) == 0 {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: OpenAIError{
|
||||
Message: palmResponse.Error.Message,
|
||||
Type: palmResponse.Error.Status,
|
||||
Param: "",
|
||||
Code: palmResponse.Error.Code,
|
||||
},
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
fullTextResponse := responsePaLM2OpenAI(&palmResponse)
|
||||
completionTokens := countTokenText(palmResponse.Candidates[0].Content, model)
|
||||
usage := Usage{
|
||||
PromptTokens: promptTokens,
|
||||
CompletionTokens: completionTokens,
|
||||
TotalTokens: promptTokens + completionTokens,
|
||||
}
|
||||
fullTextResponse.Usage = usage
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
return nil, &usage
|
||||
}
|
||||
|
@@ -1,7 +1,6 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
@@ -15,6 +14,13 @@ import (
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
const (
|
||||
APITypeOpenAI = iota
|
||||
APITypeClaude
|
||||
APITypePaLM
|
||||
APITypeBaidu
|
||||
)
|
||||
|
||||
func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
channelType := c.GetInt("channel")
|
||||
tokenId := c.GetInt("token_id")
|
||||
@@ -71,33 +77,63 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
isModelMapped = true
|
||||
}
|
||||
}
|
||||
apiType := APITypeOpenAI
|
||||
if strings.HasPrefix(textRequest.Model, "claude") {
|
||||
apiType = APITypeClaude
|
||||
} else if strings.HasPrefix(textRequest.Model, "ERNIE") {
|
||||
apiType = APITypeBaidu
|
||||
} else if strings.HasPrefix(textRequest.Model, "PaLM") {
|
||||
apiType = APITypePaLM
|
||||
}
|
||||
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)
|
||||
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")
|
||||
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)
|
||||
}
|
||||
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)
|
||||
} else if channelType == common.ChannelTypePaLM {
|
||||
err := relayPaLM(textRequest, c)
|
||||
return err
|
||||
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"
|
||||
}
|
||||
apiKey := c.Request.Header.Get("Authorization")
|
||||
apiKey = strings.TrimPrefix(apiKey, "Bearer ")
|
||||
fullRequestURL += "?access_token=" + apiKey // TODO: access token expire in 30 days
|
||||
case APITypePaLM:
|
||||
fullRequestURL = "https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage"
|
||||
apiKey := c.Request.Header.Get("Authorization")
|
||||
apiKey = strings.TrimPrefix(apiKey, "Bearer ")
|
||||
fullRequestURL += "?key=" + apiKey
|
||||
}
|
||||
var promptTokens int
|
||||
var completionTokens int
|
||||
@@ -142,16 +178,49 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
} 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:
|
||||
baiduRequest := requestOpenAI2Baidu(textRequest)
|
||||
jsonStr, err := json.Marshal(baiduRequest)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
requestBody = bytes.NewBuffer(jsonStr)
|
||||
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)
|
||||
}
|
||||
req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
if channelType == common.ChannelTypeAzure {
|
||||
key := c.Request.Header.Get("Authorization")
|
||||
key = strings.TrimPrefix(key, "Bearer ")
|
||||
req.Header.Set("api-key", key)
|
||||
} else {
|
||||
req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
|
||||
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"))
|
||||
@@ -183,7 +252,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if strings.HasPrefix(textRequest.Model, "gpt-4") {
|
||||
completionRatio = 2
|
||||
}
|
||||
if isStream {
|
||||
if isStream && apiType != APITypeBaidu {
|
||||
completionTokens = countTokenText(streamResponseText, textRequest.Model)
|
||||
} else {
|
||||
promptTokens = textResponse.Usage.PromptTokens
|
||||
@@ -219,124 +288,72 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
}
|
||||
}
|
||||
}()
|
||||
|
||||
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)
|
||||
switch apiType {
|
||||
case APITypeOpenAI:
|
||||
if isStream {
|
||||
err, responseText := openaiStreamHandler(c, resp, relayMode)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
|
||||
return err
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
streamResponseText = responseText
|
||||
return nil
|
||||
} else {
|
||||
err, usage := openaiHandler(c, resp, consumeQuota)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
return err
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
textResponse.Usage = *usage
|
||||
return nil
|
||||
}
|
||||
case APITypeClaude:
|
||||
if isStream {
|
||||
err, responseText := claudeStreamHandler(c, resp)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
|
||||
return err
|
||||
}
|
||||
if textResponse.Error.Type != "" {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: textResponse.Error,
|
||||
StatusCode: resp.StatusCode,
|
||||
}
|
||||
streamResponseText = responseText
|
||||
return nil
|
||||
} else {
|
||||
err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
// Reset response body
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
textResponse.Usage = *usage
|
||||
return nil
|
||||
}
|
||||
// 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])
|
||||
case APITypeBaidu:
|
||||
if isStream {
|
||||
err, usage := baiduStreamHandler(c, resp)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
textResponse.Usage = *usage
|
||||
return nil
|
||||
} else {
|
||||
err, usage := baiduHandler(c, resp)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
textResponse.Usage = *usage
|
||||
return nil
|
||||
}
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = io.Copy(c.Writer, resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
|
||||
case APITypePaLM:
|
||||
if textRequest.Stream { // PaLM2 API does not support stream
|
||||
err, responseText := palmStreamHandler(c, resp)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
streamResponseText = responseText
|
||||
return nil
|
||||
} else {
|
||||
err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
textResponse.Usage = *usage
|
||||
return nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
return nil
|
||||
default:
|
||||
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
|
||||
}
|
||||
}
|
||||
|
@@ -91,3 +91,16 @@ func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatus
|
||||
StatusCode: statusCode,
|
||||
}
|
||||
}
|
||||
|
||||
func shouldDisableChannel(err *OpenAIError) bool {
|
||||
if !common.AutomaticDisableChannelEnabled {
|
||||
return false
|
||||
}
|
||||
if err == nil {
|
||||
return false
|
||||
}
|
||||
if err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated" {
|
||||
return true
|
||||
}
|
||||
return false
|
||||
}
|
||||
|
@@ -85,6 +85,20 @@ type TextResponse struct {
|
||||
Error OpenAIError `json:"error"`
|
||||
}
|
||||
|
||||
type OpenAITextResponseChoice struct {
|
||||
Index int `json:"index"`
|
||||
Message `json:"message"`
|
||||
FinishReason string `json:"finish_reason"`
|
||||
}
|
||||
|
||||
type OpenAITextResponse struct {
|
||||
Id string `json:"id"`
|
||||
Object string `json:"object"`
|
||||
Created int64 `json:"created"`
|
||||
Choices []OpenAITextResponseChoice `json:"choices"`
|
||||
Usage `json:"usage"`
|
||||
}
|
||||
|
||||
type ImageResponse struct {
|
||||
Created int `json:"created"`
|
||||
Data []struct {
|
||||
@@ -92,13 +106,19 @@ type ImageResponse struct {
|
||||
}
|
||||
}
|
||||
|
||||
type ChatCompletionsStreamResponseChoice struct {
|
||||
Delta struct {
|
||||
Content string `json:"content"`
|
||||
} `json:"delta"`
|
||||
FinishReason string `json:"finish_reason,omitempty"`
|
||||
}
|
||||
|
||||
type ChatCompletionsStreamResponse struct {
|
||||
Choices []struct {
|
||||
Delta struct {
|
||||
Content string `json:"content"`
|
||||
} `json:"delta"`
|
||||
FinishReason string `json:"finish_reason"`
|
||||
} `json:"choices"`
|
||||
Id string `json:"id"`
|
||||
Object string `json:"object"`
|
||||
Created int64 `json:"created"`
|
||||
Model string `json:"model"`
|
||||
Choices []ChatCompletionsStreamResponseChoice `json:"choices"`
|
||||
}
|
||||
|
||||
type CompletionsStreamResponse struct {
|
||||
@@ -151,7 +171,7 @@ func Relay(c *gin.Context) {
|
||||
channelId := c.GetInt("channel_id")
|
||||
common.SysError(fmt.Sprintf("relay error (channel #%d): %s", channelId, err.Message))
|
||||
// https://platform.openai.com/docs/guides/error-codes/api-errors
|
||||
if common.AutomaticDisableChannelEnabled && (err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated") {
|
||||
if shouldDisableChannel(&err.OpenAIError) {
|
||||
channelId := c.GetInt("channel_id")
|
||||
channelName := c.GetString("channel_name")
|
||||
disableChannel(channelId, channelName, err.Message)
|
||||
|
@@ -1,7 +1,10 @@
|
||||
export const CHANNEL_OPTIONS = [
|
||||
{ key: 1, text: 'OpenAI', value: 1, color: 'green' },
|
||||
{ key: 14, text: 'Anthropic', value: 14, color: 'black' },
|
||||
{ key: 8, text: '自定义', value: 8, color: 'pink' },
|
||||
{ key: 3, text: 'Azure', value: 3, color: 'olive' },
|
||||
{ key: 11, text: 'PaLM', value: 11, color: 'orange' },
|
||||
{ key: 15, text: 'Baidu', value: 15, color: 'blue' },
|
||||
{ key: 2, text: 'API2D', value: 2, color: 'blue' },
|
||||
{ key: 4, text: 'CloseAI', value: 4, color: 'teal' },
|
||||
{ key: 5, text: 'OpenAI-SB', value: 5, color: 'brown' },
|
||||
|
@@ -27,6 +27,7 @@ const EditChannel = () => {
|
||||
};
|
||||
const [batch, setBatch] = useState(false);
|
||||
const [inputs, setInputs] = useState(originInputs);
|
||||
const [originModelOptions, setOriginModelOptions] = useState([]);
|
||||
const [modelOptions, setModelOptions] = useState([]);
|
||||
const [groupOptions, setGroupOptions] = useState([]);
|
||||
const [basicModels, setBasicModels] = useState([]);
|
||||
@@ -44,19 +45,6 @@ const EditChannel = () => {
|
||||
data.models = [];
|
||||
} else {
|
||||
data.models = data.models.split(',');
|
||||
setTimeout(() => {
|
||||
let localModelOptions = [...modelOptions];
|
||||
data.models.forEach((model) => {
|
||||
if (!localModelOptions.find((option) => option.key === model)) {
|
||||
localModelOptions.push({
|
||||
key: model,
|
||||
text: model,
|
||||
value: model
|
||||
});
|
||||
}
|
||||
});
|
||||
setModelOptions(localModelOptions);
|
||||
}, 1000);
|
||||
}
|
||||
if (data.group === '') {
|
||||
data.groups = [];
|
||||
@@ -76,13 +64,16 @@ const EditChannel = () => {
|
||||
const fetchModels = async () => {
|
||||
try {
|
||||
let res = await API.get(`/api/channel/models`);
|
||||
setModelOptions(res.data.data.map((model) => ({
|
||||
let localModelOptions = res.data.data.map((model) => ({
|
||||
key: model.id,
|
||||
text: model.id,
|
||||
value: model.id
|
||||
})));
|
||||
}));
|
||||
setOriginModelOptions(localModelOptions);
|
||||
setFullModels(res.data.data.map((model) => model.id));
|
||||
setBasicModels(res.data.data.filter((model) => !model.id.startsWith('gpt-4')).map((model) => model.id));
|
||||
setBasicModels(res.data.data.filter((model) => {
|
||||
return model.id.startsWith('gpt-3') || model.id.startsWith('text-');
|
||||
}).map((model) => model.id));
|
||||
} catch (error) {
|
||||
showError(error.message);
|
||||
}
|
||||
@@ -101,6 +92,20 @@ const EditChannel = () => {
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
let localModelOptions = [...originModelOptions];
|
||||
inputs.models.forEach((model) => {
|
||||
if (!localModelOptions.find((option) => option.key === model)) {
|
||||
localModelOptions.push({
|
||||
key: model,
|
||||
text: model,
|
||||
value: model
|
||||
});
|
||||
}
|
||||
});
|
||||
setModelOptions(localModelOptions);
|
||||
}, [originModelOptions, inputs.models]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isEdit) {
|
||||
loadChannel().then();
|
||||
@@ -280,15 +285,20 @@ const EditChannel = () => {
|
||||
<Input
|
||||
action={
|
||||
<Button type={'button'} onClick={()=>{
|
||||
if (customModel.trim() === "") return;
|
||||
if (inputs.models.includes(customModel)) return;
|
||||
let localModels = [...inputs.models];
|
||||
localModels.push(customModel);
|
||||
let localModelOptions = [...modelOptions];
|
||||
let localModelOptions = [];
|
||||
localModelOptions.push({
|
||||
key: customModel,
|
||||
text: customModel,
|
||||
value: customModel,
|
||||
});
|
||||
setModelOptions(localModelOptions);
|
||||
setModelOptions(modelOptions=>{
|
||||
return [...modelOptions, ...localModelOptions];
|
||||
});
|
||||
setCustomModel('');
|
||||
handleInputChange(null, { name: 'models', value: localModels });
|
||||
}}>填入</Button>
|
||||
}
|
||||
@@ -327,7 +337,7 @@ const EditChannel = () => {
|
||||
label='密钥'
|
||||
name='key'
|
||||
required
|
||||
placeholder={'请输入密钥'}
|
||||
placeholder={inputs.type === 15 ? "请输入 access token,当前版本暂不支持自动刷新,请每 30 天更新一次" : '请输入密钥'}
|
||||
onChange={handleInputChange}
|
||||
value={inputs.key}
|
||||
autoComplete='new-password'
|
||||
|
Reference in New Issue
Block a user