Compare commits

...

16 Commits

Author SHA1 Message Date
JustSong
3e81d8af45 chore: update i18n 2023-07-29 19:50:29 +08:00
JustSong
b8cb86c2c1 chore: adjust ui 2023-07-29 19:32:06 +08:00
JustSong
f45d586400 fix: fix model mapping cannot be deleted 2023-07-29 19:17:26 +08:00
JustSong
50dec03ff3 fix: fix model mapping cannot be deleted 2023-07-29 19:16:42 +08:00
JustSong
f31d400b6f chore: automatically add related models when switch type 2023-07-29 12:24:23 +08:00
JustSong
130e6bfd83 feat: support baidu's embedding model (close #324) 2023-07-29 12:15:07 +08:00
JustSong
d1335ebc01 docs: update README 2023-07-28 23:47:36 +08:00
JustSong
e92da7928b feat: support ali's llm (close #326) 2023-07-28 23:45:08 +08:00
JustSong
d1b6f492b6 fix: convert system message to user message for zhipu 2023-07-27 23:32:00 +08:00
JustSong
b9f6461dd4 fix: convert system message to user message for claude 2023-07-27 23:26:56 +08:00
JustSong
0a39521a3d fix: convert system message to user message (close #328) 2023-07-27 23:16:11 +08:00
JustSong
c134604cee fix: use channel type to determine api type (close #321) 2023-07-24 23:34:14 +08:00
mrhaoji
929e43ef81 fix: baseURL not working in APITypePaLM (#317)
* fix: baseURL not working in APITypePaLM

* chore: use the same logic as claude

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>
2023-07-24 22:37:57 +08:00
mrhaoji
dce8bbe1ca fix: relay router typo for List models (#320)
via: https://platform.openai.com/docs/api-reference/models/list
2023-07-24 22:28:16 +08:00
JustSong
bc2f48b1f2 chore: send a notice to user indicating that the current channel type does not support testing 2023-07-23 23:23:56 +08:00
JustSong
889af8b2db fix: fix redemption can be used multiple times in some cases 2023-07-23 19:34:23 +08:00
21 changed files with 572 additions and 79 deletions

View File

@@ -57,15 +57,13 @@ _✨ Access all LLM through the standard OpenAI API format, easy to deploy & use
> **Note**: The latest image pulled from Docker may be an `alpha` release. Specify the version manually if you require stability.
## Features
1. Supports multiple API access channels:
+ [x] Official OpenAI channel (support proxy configuration)
+ [x] **Azure OpenAI API**
+ [x] [API Distribute](https://api.gptjk.top/register?aff=QGxj)
+ [x] [OpenAI-SB](https://openai-sb.com)
+ [x] [API2D](https://api2d.com/r/197971)
+ [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf)
+ [x] [AI Proxy](https://aiproxy.io/?i=OneAPI) (invitation code: `OneAPI`)
+ [x] Custom channel: Various third-party proxy services not included in the list
1. Support for multiple large models:
+ [x] [OpenAI ChatGPT Series Models](https://platform.openai.com/docs/guides/gpt/chat-completions-api) (Supports [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference))
+ [x] [Anthropic Claude Series Models](https://anthropic.com)
+ [x] [Google PaLM2 Series Models](https://developers.generativeai.google)
+ [x] [Baidu Wenxin Yiyuan Series Models](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+ [x] [Alibaba Tongyi Qianwen Series Models](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [Zhipu ChatGLM Series Models](https://bigmodel.cn)
2. Supports access to multiple channels through **load balancing**.
3. Supports **stream mode** that enables typewriter-like effect through stream transmission.
4. Supports **multi-machine deployment**. [See here](#multi-machine-deployment) for more details.

View File

@@ -63,9 +63,9 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
+ [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] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
2. 支持配置镜像以及众多第三方代理服务:
+ [x] [API Distribute](https://api.gptjk.top/register?aff=QGxj)
+ [x] [OpenAI-SB](https://openai-sb.com)
+ [x] [API2D](https://api2d.com/r/197971)
+ [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf)

View File

@@ -156,24 +156,26 @@ const (
ChannelTypeAnthropic = 14
ChannelTypeBaidu = 15
ChannelTypeZhipu = 16
ChannelTypeAli = 17
)
var ChannelBaseURLs = []string{
"", // 0
"https://api.openai.com", // 1
"https://oa.api2d.net", // 2
"", // 3
"https://api.closeai-proxy.xyz", // 4
"https://api.openai-sb.com", // 5
"https://api.openaimax.com", // 6
"https://api.ohmygpt.com", // 7
"", // 8
"https://api.caipacity.com", // 9
"https://api.aiproxy.io", // 10
"", // 11
"https://api.api2gpt.com", // 12
"https://api.aigc2d.com", // 13
"https://api.anthropic.com", // 14
"https://aip.baidubce.com", // 15
"https://open.bigmodel.cn", // 16
"", // 0
"https://api.openai.com", // 1
"https://oa.api2d.net", // 2
"", // 3
"https://api.closeai-proxy.xyz", // 4
"https://api.openai-sb.com", // 5
"https://api.openaimax.com", // 6
"https://api.ohmygpt.com", // 7
"", // 8
"https://api.caipacity.com", // 9
"https://api.aiproxy.io", // 10
"", // 11
"https://api.api2gpt.com", // 12
"https://api.aigc2d.com", // 13
"https://api.anthropic.com", // 14
"https://aip.baidubce.com", // 15
"https://open.bigmodel.cn", // 16
"https://dashscope.aliyuncs.com", // 17
}

View File

@@ -42,10 +42,13 @@ var ModelRatio = map[string]float64{
"claude-2": 30,
"ERNIE-Bot": 0.8572, // ¥0.012 / 1k tokens
"ERNIE-Bot-turbo": 0.5715, // ¥0.008 / 1k tokens
"Embedding-V1": 0.1429, // ¥0.002 / 1k tokens
"PaLM-2": 1,
"chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
"chatglm_std": 0.3572, // ¥0.005 / 1k tokens
"chatglm_lite": 0.1429, // ¥0.002 / 1k tokens
"qwen-v1": 0.8572, // TBD: https://help.aliyun.com/document_detail/2399482.html?spm=a2c4g.2399482.0.0.1ad347feilAgag
"qwen-plus-v1": 0.5715, // Same as above
}
func ModelRatio2JSONString() string {

View File

@@ -16,6 +16,14 @@ import (
func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIError) {
switch channel.Type {
case common.ChannelTypePaLM:
fallthrough
case common.ChannelTypeAnthropic:
fallthrough
case common.ChannelTypeBaidu:
fallthrough
case common.ChannelTypeZhipu:
return errors.New("该渠道类型当前版本不支持测试,请手动测试"), nil
case common.ChannelTypeAzure:
request.Model = "gpt-35-turbo"
default:

View File

@@ -288,6 +288,15 @@ func init() {
Root: "ERNIE-Bot-turbo",
Parent: nil,
},
{
Id: "Embedding-V1",
Object: "model",
Created: 1677649963,
OwnedBy: "baidu",
Permission: permission,
Root: "Embedding-V1",
Parent: nil,
},
{
Id: "PaLM-2",
Object: "model",
@@ -324,6 +333,24 @@ func init() {
Root: "chatglm_lite",
Parent: nil,
},
{
Id: "qwen-v1",
Object: "model",
Created: 1677649963,
OwnedBy: "ali",
Permission: permission,
Root: "qwen-v1",
Parent: nil,
},
{
Id: "qwen-plus-v1",
Object: "model",
Created: 1677649963,
OwnedBy: "ali",
Permission: permission,
Root: "qwen-plus-v1",
Parent: nil,
},
}
openAIModelsMap = make(map[string]OpenAIModels)
for _, model := range openAIModels {

240
controller/relay-ali.go Normal file
View File

@@ -0,0 +1,240 @@
package controller
import (
"bufio"
"encoding/json"
"github.com/gin-gonic/gin"
"io"
"net/http"
"one-api/common"
"strings"
)
// https://help.aliyun.com/document_detail/613695.html?spm=a2c4g.2399480.0.0.1adb778fAdzP9w#341800c0f8w0r
type AliMessage struct {
User string `json:"user"`
Bot string `json:"bot"`
}
type AliInput struct {
Prompt string `json:"prompt"`
History []AliMessage `json:"history"`
}
type AliParameters struct {
TopP float64 `json:"top_p,omitempty"`
TopK int `json:"top_k,omitempty"`
Seed uint64 `json:"seed,omitempty"`
EnableSearch bool `json:"enable_search,omitempty"`
}
type AliChatRequest struct {
Model string `json:"model"`
Input AliInput `json:"input"`
Parameters AliParameters `json:"parameters,omitempty"`
}
type AliError struct {
Code string `json:"code"`
Message string `json:"message"`
RequestId string `json:"request_id"`
}
type AliUsage struct {
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
}
type AliOutput struct {
Text string `json:"text"`
FinishReason string `json:"finish_reason"`
}
type AliChatResponse struct {
Output AliOutput `json:"output"`
Usage AliUsage `json:"usage"`
AliError
}
func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
messages := make([]AliMessage, 0, len(request.Messages))
prompt := ""
for i := 0; i < len(request.Messages); i++ {
message := request.Messages[i]
if message.Role == "system" {
messages = append(messages, AliMessage{
User: message.Content,
Bot: "Okay",
})
continue
} else {
if i == len(request.Messages)-1 {
prompt = message.Content
break
}
messages = append(messages, AliMessage{
User: message.Content,
Bot: request.Messages[i+1].Content,
})
i++
}
}
return &AliChatRequest{
Model: request.Model,
Input: AliInput{
Prompt: prompt,
History: messages,
},
//Parameters: AliParameters{ // ChatGPT's parameters are not compatible with Ali's
// TopP: request.TopP,
// TopK: 50,
// //Seed: 0,
// //EnableSearch: false,
//},
}
}
func responseAli2OpenAI(response *AliChatResponse) *OpenAITextResponse {
choice := OpenAITextResponseChoice{
Index: 0,
Message: Message{
Role: "assistant",
Content: response.Output.Text,
},
FinishReason: response.Output.FinishReason,
}
fullTextResponse := OpenAITextResponse{
Id: response.RequestId,
Object: "chat.completion",
Created: common.GetTimestamp(),
Choices: []OpenAITextResponseChoice{choice},
Usage: Usage{
PromptTokens: response.Usage.InputTokens,
CompletionTokens: response.Usage.OutputTokens,
TotalTokens: response.Usage.InputTokens + response.Usage.OutputTokens,
},
}
return &fullTextResponse
}
func streamResponseAli2OpenAI(aliResponse *AliChatResponse) *ChatCompletionsStreamResponse {
var choice ChatCompletionsStreamResponseChoice
choice.Delta.Content = aliResponse.Output.Text
choice.FinishReason = aliResponse.Output.FinishReason
response := ChatCompletionsStreamResponse{
Id: aliResponse.RequestId,
Object: "chat.completion.chunk",
Created: common.GetTimestamp(),
Model: "ernie-bot",
Choices: []ChatCompletionsStreamResponseChoice{choice},
}
return &response
}
func aliStreamHandler(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) < 5 { // ignore blank line or wrong format
continue
}
if data[:5] != "data:" {
continue
}
data = data[5:]
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")
lastResponseText := ""
c.Stream(func(w io.Writer) bool {
select {
case data := <-dataChan:
var aliResponse AliChatResponse
err := json.Unmarshal([]byte(data), &aliResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
return true
}
usage.PromptTokens += aliResponse.Usage.InputTokens
usage.CompletionTokens += aliResponse.Usage.OutputTokens
usage.TotalTokens += aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
response := streamResponseAli2OpenAI(&aliResponse)
response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
lastResponseText = aliResponse.Output.Text
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 aliHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
var aliResponse AliChatResponse
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, &aliResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
}
if aliResponse.Code != "" {
return &OpenAIErrorWithStatusCode{
OpenAIError: OpenAIError{
Message: aliResponse.Message,
Type: aliResponse.Code,
Param: aliResponse.RequestId,
Code: aliResponse.Code,
},
StatusCode: resp.StatusCode,
}, nil
}
fullTextResponse := responseAli2OpenAI(&aliResponse)
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
}

View File

@@ -54,13 +54,43 @@ type BaiduChatStreamResponse struct {
IsEnd bool `json:"is_end"`
}
type BaiduEmbeddingRequest struct {
Input []string `json:"input"`
}
type BaiduEmbeddingData struct {
Object string `json:"object"`
Embedding []float64 `json:"embedding"`
Index int `json:"index"`
}
type BaiduEmbeddingResponse struct {
Id string `json:"id"`
Object string `json:"object"`
Created int64 `json:"created"`
Data []BaiduEmbeddingData `json:"data"`
Usage Usage `json:"usage"`
BaiduError
}
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,
})
if message.Role == "system" {
messages = append(messages, BaiduMessage{
Role: "user",
Content: message.Content,
})
messages = append(messages, BaiduMessage{
Role: "assistant",
Content: "Okay",
})
} else {
messages = append(messages, BaiduMessage{
Role: message.Role,
Content: message.Content,
})
}
}
return &BaiduChatRequest{
Messages: messages,
@@ -101,6 +131,36 @@ func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCom
return &response
}
func embeddingRequestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduEmbeddingRequest {
baiduEmbeddingRequest := BaiduEmbeddingRequest{
Input: nil,
}
switch request.Input.(type) {
case string:
baiduEmbeddingRequest.Input = []string{request.Input.(string)}
case []string:
baiduEmbeddingRequest.Input = request.Input.([]string)
}
return &baiduEmbeddingRequest
}
func embeddingResponseBaidu2OpenAI(response *BaiduEmbeddingResponse) *OpenAIEmbeddingResponse {
openAIEmbeddingResponse := OpenAIEmbeddingResponse{
Object: "list",
Data: make([]OpenAIEmbeddingResponseItem, 0, len(response.Data)),
Model: "baidu-embedding",
Usage: response.Usage,
}
for _, item := range response.Data {
openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, OpenAIEmbeddingResponseItem{
Object: item.Object,
Index: item.Index,
Embedding: item.Embedding,
})
}
return &openAIEmbeddingResponse
}
func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
var usage Usage
scanner := bufio.NewScanner(resp.Body)
@@ -201,3 +261,39 @@ func baiduHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCo
_, err = c.Writer.Write(jsonResponse)
return nil, &fullTextResponse.Usage
}
func baiduEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
var baiduResponse BaiduEmbeddingResponse
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 := embeddingResponseBaidu2OpenAI(&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
}

View File

@@ -69,11 +69,11 @@ func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest {
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
} else if message.Role == "system" {
prompt += fmt.Sprintf("\n\nSystem: %s", message.Content)
}
prompt += "\n\nAssistant:"
}
prompt += "\n\nAssistant:"
claudeRequest.Prompt = prompt
return &claudeRequest
}

View File

@@ -20,6 +20,7 @@ const (
APITypePaLM
APITypeBaidu
APITypeZhipu
APITypeAli
)
var httpClient *http.Client
@@ -73,7 +74,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
// map model name
modelMapping := c.GetString("model_mapping")
isModelMapped := false
if modelMapping != "" {
if modelMapping != "" && modelMapping != "{}" {
modelMap := make(map[string]string)
err := json.Unmarshal([]byte(modelMapping), &modelMap)
if err != nil {
@@ -85,14 +86,18 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
}
}
apiType := APITypeOpenAI
if strings.HasPrefix(textRequest.Model, "claude") {
switch channelType {
case common.ChannelTypeAnthropic:
apiType = APITypeClaude
} else if strings.HasPrefix(textRequest.Model, "ERNIE") {
case common.ChannelTypeBaidu:
apiType = APITypeBaidu
} else if strings.HasPrefix(textRequest.Model, "PaLM") {
case common.ChannelTypePaLM:
apiType = APITypePaLM
} else if strings.HasPrefix(textRequest.Model, "chatglm_") {
case common.ChannelTypeZhipu:
apiType = APITypeZhipu
case common.ChannelTypeAli:
apiType = APITypeAli
}
baseURL := common.ChannelBaseURLs[channelType]
requestURL := c.Request.URL.String()
@@ -134,12 +139,17 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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 ")
fullRequestURL += "?access_token=" + apiKey // TODO: access token expire in 30 days
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
@@ -149,6 +159,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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
@@ -202,12 +214,20 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
}
requestBody = bytes.NewBuffer(jsonStr)
case APITypeBaidu:
baiduRequest := requestOpenAI2Baidu(textRequest)
jsonStr, err := json.Marshal(baiduRequest)
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(jsonStr)
requestBody = bytes.NewBuffer(jsonData)
case APITypePaLM:
palmRequest := requestOpenAI2PaLM(textRequest)
jsonStr, err := json.Marshal(palmRequest)
@@ -222,6 +242,13 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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)
}
req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
if err != nil {
@@ -246,6 +273,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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"))
@@ -276,7 +308,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if strings.HasPrefix(textRequest.Model, "gpt-4") {
completionRatio = 2
}
if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu {
if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu && apiType != APITypeAli {
completionTokens = countTokenText(streamResponseText, textRequest.Model)
} else {
promptTokens = textResponse.Usage.PromptTokens
@@ -364,7 +396,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
}
return nil
} else {
err, usage := baiduHandler(c, resp)
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
}
@@ -411,6 +450,26 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
}
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
}
default:
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
}

View File

@@ -111,10 +111,21 @@ func getZhipuToken(apikey string) string {
func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
messages := make([]ZhipuMessage, 0, len(request.Messages))
for _, message := range request.Messages {
messages = append(messages, ZhipuMessage{
Role: message.Role,
Content: message.Content,
})
if message.Role == "system" {
messages = append(messages, ZhipuMessage{
Role: "system",
Content: message.Content,
})
messages = append(messages, ZhipuMessage{
Role: "user",
Content: "Okay",
})
} else {
messages = append(messages, ZhipuMessage{
Role: message.Role,
Content: message.Content,
})
}
}
return &ZhipuRequest{
Prompt: messages,

View File

@@ -99,6 +99,19 @@ type OpenAITextResponse struct {
Usage `json:"usage"`
}
type OpenAIEmbeddingResponseItem struct {
Object string `json:"object"`
Index int `json:"index"`
Embedding []float64 `json:"embedding"`
}
type OpenAIEmbeddingResponse struct {
Object string `json:"object"`
Data []OpenAIEmbeddingResponseItem `json:"data"`
Model string `json:"model"`
Usage `json:"usage"`
}
type ImageResponse struct {
Created int `json:"created"`
Data []struct {

View File

@@ -503,5 +503,12 @@
"请输入 AZURE_OPENAI_ENDPOINT": "Please enter AZURE_OPENAI_ENDPOINT",
"请输入自定义渠道的 Base URL": "Please enter the Base URL of the custom channel",
"Homepage URL 填": "Fill in the Homepage URL",
"Authorization callback URL 填": "Fill in the Authorization callback URL"
"Authorization callback URL 填": "Fill in the Authorization callback URL",
"请为通道命名": "Please name the channel",
"此项可选,用于修改请求体中的模型名称,为一个 JSON 字符串,键为请求中模型名称,值为要替换的模型名称,例如:": "This is optional, used to modify the model name in the request body, it's a JSON string, the key is the model name in the request, and the value is the model name to be replaced, for example:",
"模型重定向": "Model redirection",
"请输入渠道对应的鉴权密钥": "Please enter the authentication key corresponding to the channel",
"注意,": "Note that, ",
",图片演示。": "related image demo.",
"令牌创建成功,请在列表页面点击复制获取令牌!": "Token created successfully, please click copy on the list page to get the token!"
}

View File

@@ -51,20 +51,21 @@ func Redeem(key string, userId int) (quota int, err error) {
redemption := &Redemption{}
err = DB.Transaction(func(tx *gorm.DB) error {
err := DB.Where("`key` = ?", key).First(redemption).Error
err := tx.Set("gorm:query_option", "FOR UPDATE").Where("`key` = ?", key).First(redemption).Error
if err != nil {
return errors.New("无效的兑换码")
}
if redemption.Status != common.RedemptionCodeStatusEnabled {
return errors.New("该兑换码已被使用")
}
err = DB.Model(&User{}).Where("id = ?", userId).Update("quota", gorm.Expr("quota + ?", redemption.Quota)).Error
err = tx.Model(&User{}).Where("id = ?", userId).Update("quota", gorm.Expr("quota + ?", redemption.Quota)).Error
if err != nil {
return err
}
redemption.RedeemedTime = common.GetTimestamp()
redemption.Status = common.RedemptionCodeStatusUsed
return redemption.SelectUpdate()
err = tx.Save(redemption).Error
return err
})
if err != nil {
return 0, errors.New("兑换失败," + err.Error())

View File

@@ -12,7 +12,7 @@ func SetRelayRouter(router *gin.Engine) {
modelsRouter := router.Group("/v1/models")
modelsRouter.Use(middleware.TokenAuth())
{
modelsRouter.GET("/", controller.ListModels)
modelsRouter.GET("", controller.ListModels)
modelsRouter.GET("/:model", controller.RetrieveModel)
}
relayV1Router := router.Group("/v1")

View File

@@ -363,9 +363,12 @@ const ChannelsTable = () => {
</Table.Cell>
<Table.Cell>
<Popup
content={channel.balance_updated_time ? renderTimestamp(channel.balance_updated_time) : '未更新'}
key={channel.id}
trigger={renderBalance(channel.type, channel.balance)}
trigger={<span onClick={() => {
updateChannelBalance(channel.id, channel.name, idx);
}} style={{ cursor: 'pointer' }}>
{renderBalance(channel.type, channel.balance)}
</span>}
content="点击更新"
basic
/>
</Table.Cell>
@@ -380,16 +383,16 @@ const ChannelsTable = () => {
>
测试
</Button>
<Button
size={'small'}
positive
loading={updatingBalance}
onClick={() => {
updateChannelBalance(channel.id, channel.name, idx);
}}
>
更新余额
</Button>
{/*<Button*/}
{/* size={'small'}*/}
{/* positive*/}
{/* loading={updatingBalance}*/}
{/* onClick={() => {*/}
{/* updateChannelBalance(channel.id, channel.name, idx);*/}
{/* }}*/}
{/*>*/}
{/* 更新余额*/}
{/*</Button>*/}
<Popup
trigger={
<Button size='small' negative>

View File

@@ -227,7 +227,7 @@ const UsersTable = () => {
content={user.email ? user.email : '未绑定邮箱地址'}
key={user.username}
header={user.display_name ? user.display_name : user.username}
trigger={<span>{renderText(user.username, 10)}</span>}
trigger={<span>{renderText(user.username, 15)}</span>}
hoverable
/>
</Table.Cell>

View File

@@ -4,6 +4,7 @@ export const CHANNEL_OPTIONS = [
{ key: 3, text: 'Azure OpenAI', value: 3, color: 'olive' },
{ key: 11, text: 'Google PaLM2', value: 11, color: 'orange' },
{ key: 15, text: '百度文心千帆', value: 15, color: 'blue' },
{ key: 17, text: '阿里通义千问', value: 17, color: 'orange' },
{ key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
{ key: 8, text: '自定义渠道', value: 8, color: 'pink' },
{ key: 2, text: '代理API2D', value: 2, color: 'blue' },
@@ -14,5 +15,5 @@ export const CHANNEL_OPTIONS = [
{ key: 6, text: '代理OpenAI Max', value: 6, color: 'violet' },
{ key: 9, text: '代理AI.LS', value: 9, color: 'yellow' },
{ key: 12, text: '代理API2GPT', value: 12, color: 'blue' },
{ key: 13, text: '代理AIGC2D', value: 13, color: 'purple' }
{ key: 13, text: '代理AIGC2D', value: 13, color: 'purple' },
];

View File

@@ -1,5 +1,5 @@
export const toastConstants = {
SUCCESS_TIMEOUT: 500,
SUCCESS_TIMEOUT: 1500,
INFO_TIMEOUT: 3000,
ERROR_TIMEOUT: 5000,
WARNING_TIMEOUT: 10000,

View File

@@ -35,6 +35,27 @@ const EditChannel = () => {
const [customModel, setCustomModel] = useState('');
const handleInputChange = (e, { name, value }) => {
setInputs((inputs) => ({ ...inputs, [name]: value }));
if (name === 'type' && inputs.models.length === 0) {
let localModels = [];
switch (value) {
case 14:
localModels = ['claude-instant-1', 'claude-2'];
break;
case 11:
localModels = ['PaLM-2'];
break;
case 15:
localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'Embedding-V1'];
break;
case 17:
localModels = ['qwen-v1', 'qwen-plus-v1'];
break;
case 16:
localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
break;
}
setInputs((inputs) => ({ ...inputs, models: localModels }));
}
};
const loadChannel = async () => {
@@ -132,7 +153,10 @@ const EditChannel = () => {
localInputs.base_url = localInputs.base_url.slice(0, localInputs.base_url.length - 1);
}
if (localInputs.type === 3 && localInputs.other === '') {
localInputs.other = '2023-03-15-preview';
localInputs.other = '2023-06-01-preview';
}
if (localInputs.model_mapping === '') {
localInputs.model_mapping = '{}';
}
let res;
localInputs.models = localInputs.models.join(',');
@@ -192,7 +216,7 @@ const EditChannel = () => {
<Form.Input
label='默认 API 版本'
name='other'
placeholder={'请输入默认 API 版本例如2023-03-15-preview该配置可以被实际的请求查询参数所覆盖'}
placeholder={'请输入默认 API 版本例如2023-06-01-preview该配置可以被实际的请求查询参数所覆盖'}
onChange={handleInputChange}
value={inputs.other}
autoComplete='new-password'
@@ -270,8 +294,8 @@ const EditChannel = () => {
}}>清除所有模型</Button>
<Input
action={
<Button type={'button'} onClick={()=>{
if (customModel.trim() === "") return;
<Button type={'button'} onClick={() => {
if (customModel.trim() === '') return;
if (inputs.models.includes(customModel)) return;
let localModels = [...inputs.models];
localModels.push(customModel);
@@ -279,9 +303,9 @@ const EditChannel = () => {
localModelOptions.push({
key: customModel,
text: customModel,
value: customModel,
value: customModel
});
setModelOptions(modelOptions=>{
setModelOptions(modelOptions => {
return [...modelOptions, ...localModelOptions];
});
setCustomModel('');
@@ -297,7 +321,7 @@ const EditChannel = () => {
</div>
<Form.Field>
<Form.TextArea
label='模型映射'
label='模型重定向'
placeholder={`此项可选,用于修改请求体中的模型名称,为一个 JSON 字符串,键为请求中模型名称,值为要替换的模型名称,例如:\n${JSON.stringify(MODEL_MAPPING_EXAMPLE, null, 2)}`}
name='model_mapping'
onChange={handleInputChange}
@@ -323,7 +347,7 @@ const EditChannel = () => {
label='密钥'
name='key'
required
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" : '请输入渠道对应的鉴权密钥'}
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' : '请输入渠道对应的鉴权密钥'}
onChange={handleInputChange}
value={inputs.key}
autoComplete='new-password'
@@ -354,7 +378,7 @@ const EditChannel = () => {
</Form.Field>
)
}
<Button type={isEdit ? "button" : "submit"} positive onClick={submit}>提交</Button>
<Button type={isEdit ? 'button' : 'submit'} positive onClick={submit}>提交</Button>
</Form>
</Segment>
</>

View File

@@ -83,7 +83,7 @@ const EditToken = () => {
if (isEdit) {
showSuccess('令牌更新成功!');
} else {
showSuccess('令牌创建成功!');
showSuccess('令牌创建成功,请在列表页面点击复制获取令牌');
setInputs(originInputs);
}
} else {