Merge branch 'songquanpeng:main' into v1-models-response

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ckt 2023-08-10 15:29:12 +08:00 committed by GitHub
commit d4a783ab98
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31 changed files with 1360 additions and 192 deletions

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@ -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.
@ -175,7 +173,12 @@ If you encounter a blank page after deployment, refer to [#97](https://github.co
<summary><strong>Deploy on Sealos</strong></summary>
<div>
Please refer to [this tutorial](https://github.com/c121914yu/FastGPT/blob/main/docs/deploy/one-api/sealos.md).
> Sealos supports high concurrency, dynamic scaling, and stable operations for millions of users.
> Click the button below to deploy with one click.👇
[![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy?templateName=one-api)
</div>
</details>

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@ -63,9 +63,10 @@ _✨ 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] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.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)
@ -93,7 +94,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
19. 支持通过系统访问令牌访问管理 API。
20. 支持 Cloudflare Turnstile 用户校验。
21. 支持用户管理,支持**多种用户登录注册方式**
+ 邮箱登录注册以及通过邮箱进行密码重置。
+ 邮箱登录注册(支持注册邮箱白名单)以及通过邮箱进行密码重置。
+ [GitHub 开放授权](https://github.com/settings/applications/new)。
+ 微信公众号授权(需要额外部署 [WeChat Server](https://github.com/songquanpeng/wechat-server))。
@ -103,7 +104,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
如果上面的镜像无法拉取,可以尝试使用 GitHub 的 Docker 镜像,将上面的 `justsong/one-api` 替换为 `ghcr.io/songquanpeng/one-api` 即可。
如果你的并发量较大,推荐设置 `SQL_DSN`,详见下面[环境变量](#环境变量)一节。
如果你的并发量较大,**务必**设置 `SQL_DSN`,详见下面[环境变量](#环境变量)一节。
更新命令:`docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower -cR`
@ -210,9 +211,11 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope
<summary><strong>部署到 Sealos </strong></summary>
<div>
> Sealos 可视化部署,仅需 1 分钟
> Sealos 的服务器在国外,不需要额外处理网络问题,支持高并发 & 动态伸缩
参考这个[教程](https://github.com/c121914yu/FastGPT/blob/main/docs/deploy/one-api/sealos.md)中 1~5 步。
点击以下按钮一键部署(部署后访问出现 404 请等待 3~5 分钟):
[![Deploy-on-Sealos.svg](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy?templateName=one-api)
</div>
</details>
@ -313,6 +316,7 @@ https://openai.justsong.cn
+ 额度 = 分组倍率 * 模型倍率 * (提示 token 数 + 补全 token 数 * 补全倍率)
+ 其中补全倍率对于 GPT3.5 固定为 1.33GPT4 为 2与官方保持一致。
+ 如果是非流模式,官方接口会返回消耗的总 token但是你要注意提示和补全的消耗倍率不一样。
+ 注意One API 的默认倍率就是官方倍率,是已经调整过的。
2. 账户额度足够为什么提示额度不足?
+ 请检查你的令牌额度是否足够,这个和账户额度是分开的。
+ 令牌额度仅供用户设置最大使用量,用户可自由设置。

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@ -42,6 +42,19 @@ var WeChatAuthEnabled = false
var TurnstileCheckEnabled = false
var RegisterEnabled = true
var EmailDomainRestrictionEnabled = false
var EmailDomainWhitelist = []string{
"gmail.com",
"163.com",
"126.com",
"qq.com",
"outlook.com",
"hotmail.com",
"icloud.com",
"yahoo.com",
"foxmail.com",
}
var LogConsumeEnabled = true
var SMTPServer = ""
@ -156,6 +169,8 @@ const (
ChannelTypeAnthropic = 14
ChannelTypeBaidu = 15
ChannelTypeZhipu = 16
ChannelTypeAli = 17
ChannelTypeXunfei = 18
)
var ChannelBaseURLs = []string{
@ -176,4 +191,6 @@ var ChannelBaseURLs = []string{
"https://api.anthropic.com", // 14
"https://aip.baidubce.com", // 15
"https://open.bigmodel.cn", // 16
"https://dashscope.aliyuncs.com", // 17
"", // 18
}

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@ -42,10 +42,14 @@ 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
"SparkDesk": 0.8572, // TBD
}
func ModelRatio2JSONString() string {

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@ -23,6 +23,8 @@ func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIErr
case common.ChannelTypeBaidu:
fallthrough
case common.ChannelTypeZhipu:
fallthrough
case common.ChannelTypeXunfei:
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"

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@ -3,10 +3,12 @@ package controller
import (
"encoding/json"
"fmt"
"github.com/gin-gonic/gin"
"net/http"
"one-api/common"
"one-api/model"
"strings"
"github.com/gin-gonic/gin"
)
func GetStatus(c *gin.Context) {
@ -78,6 +80,22 @@ func SendEmailVerification(c *gin.Context) {
})
return
}
if common.EmailDomainRestrictionEnabled {
allowed := false
for _, domain := range common.EmailDomainWhitelist {
if strings.HasSuffix(email, "@"+domain) {
allowed = true
break
}
}
if !allowed {
c.JSON(http.StatusOK, gin.H{
"success": false,
"message": "管理员启用了邮箱域名白名单,您的邮箱地址的域名不在白名单中",
})
return
}
}
if model.IsEmailAlreadyTaken(email) {
c.JSON(http.StatusOK, gin.H{
"success": false,

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@ -289,6 +289,15 @@ 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",
@ -325,6 +334,33 @@ 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,
},
{
Id: "SparkDesk",
Object: "model",
Created: 1677649963,
OwnedBy: "xunfei",
Permission: permission,
Root: "SparkDesk",
Parent: nil,
},
}
openAIModelsMap = make(map[string]OpenAIModels)
for _, model := range openAIModels {

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@ -2,11 +2,12 @@ package controller
import (
"encoding/json"
"github.com/gin-gonic/gin"
"net/http"
"one-api/common"
"one-api/model"
"strings"
"github.com/gin-gonic/gin"
)
func GetOptions(c *gin.Context) {
@ -49,6 +50,14 @@ func UpdateOption(c *gin.Context) {
})
return
}
case "EmailDomainRestrictionEnabled":
if option.Value == "true" && len(common.EmailDomainWhitelist) == 0 {
c.JSON(http.StatusOK, gin.H{
"success": false,
"message": "无法启用邮箱域名限制,请先填入限制的邮箱域名!",
})
return
}
case "WeChatAuthEnabled":
if option.Value == "true" && common.WeChatServerAddress == "" {
c.JSON(http.StatusOK, gin.H{

240
controller/relay-ali.go Normal file
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@ -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
}

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@ -54,14 +54,44 @@ 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 {
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,
Stream: request.Stream,
@ -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
}

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@ -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:"
}
claudeRequest.Prompt = prompt
return &claudeRequest
}

View File

@ -34,6 +34,9 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
if len(data) < 6 { // ignore blank line or wrong format
continue
}
if data[:6] != "data: " && data[:6] != "[DONE]" {
continue
}
dataChan <- data
data = data[6:]
if !strings.HasPrefix(data, "[DONE]") {
@ -43,7 +46,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
err := json.Unmarshal([]byte(data), &streamResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
return
continue // just ignore the error
}
for _, choice := range streamResponse.Choices {
responseText += choice.Delta.Content
@ -53,7 +56,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
err := json.Unmarshal([]byte(data), &streamResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
return
continue
}
for _, choice := range streamResponse.Choices {
responseText += choice.Text
@ -89,7 +92,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
return nil, responseText
}
func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool) (*OpenAIErrorWithStatusCode, *Usage) {
func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
var textResponse TextResponse
if consumeQuota {
responseBody, err := io.ReadAll(resp.Body)
@ -129,5 +132,17 @@ func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool) (*Ope
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
}
if textResponse.Usage.TotalTokens == 0 {
completionTokens := 0
for _, choice := range textResponse.Choices {
completionTokens += countTokenText(choice.Message.Content, model)
}
textResponse.Usage = Usage{
PromptTokens: promptTokens,
CompletionTokens: completionTokens,
TotalTokens: promptTokens + completionTokens,
}
}
return nil, &textResponse.Usage
}

View File

@ -20,6 +20,8 @@ const (
APITypePaLM
APITypeBaidu
APITypeZhipu
APITypeAli
APITypeXunfei
)
var httpClient *http.Client
@ -73,7 +75,7 @@ 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 {
@ -94,6 +96,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
apiType = APITypePaLM
case common.ChannelTypeZhipu:
apiType = APITypeZhipu
case common.ChannelTypeAli:
apiType = APITypeAli
case common.ChannelTypeXunfei:
apiType = APITypeXunfei
}
baseURL := common.ChannelBaseURLs[channelType]
requestURL := c.Request.URL.String()
@ -135,6 +141,8 @@ 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 ")
@ -153,6 +161,8 @@ 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
@ -206,12 +216,20 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
}
requestBody = bytes.NewBuffer(jsonStr)
case APITypeBaidu:
var jsonData []byte
var err error
switch relayMode {
case RelayModeEmbeddings:
baiduEmbeddingRequest := embeddingRequestOpenAI2Baidu(textRequest)
jsonData, err = json.Marshal(baiduEmbeddingRequest)
default:
baiduRequest := requestOpenAI2Baidu(textRequest)
jsonStr, err := json.Marshal(baiduRequest)
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)
@ -226,8 +244,21 @@ 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)
}
req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
requestBody = bytes.NewBuffer(jsonStr)
}
var req *http.Request
var resp *http.Response
isStream := textRequest.Stream
if apiType != APITypeXunfei { // cause xunfei use websocket
req, err = http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
if err != nil {
return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
}
@ -250,11 +281,16 @@ 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"))
//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
resp, err := httpClient.Do(req)
resp, err = httpClient.Do(req)
if err != nil {
return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
}
@ -266,9 +302,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if err != nil {
return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
}
isStream = isStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
}
var textResponse TextResponse
isStream := strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
var streamResponseText string
defer func() {
if consumeQuota {
@ -280,16 +317,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if strings.HasPrefix(textRequest.Model, "gpt-4") {
completionRatio = 2
}
if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu {
completionTokens = countTokenText(streamResponseText, textRequest.Model)
} else {
promptTokens = textResponse.Usage.PromptTokens
completionTokens = textResponse.Usage.CompletionTokens
if apiType == APITypeZhipu {
// zhipu's API does not return prompt tokens & completion tokens
promptTokens = textResponse.Usage.TotalTokens
}
}
quota = promptTokens + int(float64(completionTokens)*completionRatio)
quota = int(float64(quota) * ratio)
if ratio != 0 && quota <= 0 {
@ -327,10 +358,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if err != nil {
return err
}
streamResponseText = responseText
textResponse.Usage.PromptTokens = promptTokens
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
return nil
} else {
err, usage := openaiHandler(c, resp, consumeQuota)
err, usage := openaiHandler(c, resp, consumeQuota, promptTokens, textRequest.Model)
if err != nil {
return err
}
@ -345,7 +377,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if err != nil {
return err
}
streamResponseText = responseText
textResponse.Usage.PromptTokens = promptTokens
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
return nil
} else {
err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
@ -368,7 +401,14 @@ 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
}
@ -383,7 +423,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if err != nil {
return err
}
streamResponseText = responseText
textResponse.Usage.PromptTokens = promptTokens
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
return nil
} else {
err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
@ -404,6 +445,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if usage != nil {
textResponse.Usage = *usage
}
// zhipu's API does not return prompt tokens & completion tokens
textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
return nil
} else {
err, usage := zhipuHandler(c, resp)
@ -413,8 +456,49 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if usage != nil {
textResponse.Usage = *usage
}
// zhipu's API does not return prompt tokens & completion tokens
textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
return nil
}
case APITypeAli:
if isStream {
err, usage := aliStreamHandler(c, resp)
if err != nil {
return err
}
if usage != nil {
textResponse.Usage = *usage
}
return nil
} else {
err, usage := aliHandler(c, resp)
if err != nil {
return err
}
if usage != nil {
textResponse.Usage = *usage
}
return nil
}
case APITypeXunfei:
if isStream {
auth := c.Request.Header.Get("Authorization")
auth = strings.TrimPrefix(auth, "Bearer ")
splits := strings.Split(auth, "|")
if len(splits) != 3 {
return errorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest)
}
err, usage := xunfeiStreamHandler(c, textRequest, splits[0], splits[1], splits[2])
if err != nil {
return err
}
if usage != nil {
textResponse.Usage = *usage
}
return nil
} else {
return errorWrapper(errors.New("xunfei api does not support non-stream mode"), "invalid_api_type", http.StatusBadRequest)
}
default:
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
}

278
controller/relay-xunfei.go Normal file
View File

@ -0,0 +1,278 @@
package controller
import (
"crypto/hmac"
"crypto/sha256"
"encoding/base64"
"encoding/json"
"fmt"
"github.com/gin-gonic/gin"
"github.com/gorilla/websocket"
"io"
"net/http"
"net/url"
"one-api/common"
"strings"
"time"
)
// https://console.xfyun.cn/services/cbm
// https://www.xfyun.cn/doc/spark/Web.html
type XunfeiMessage struct {
Role string `json:"role"`
Content string `json:"content"`
}
type XunfeiChatRequest struct {
Header struct {
AppId string `json:"app_id"`
} `json:"header"`
Parameter struct {
Chat struct {
Domain string `json:"domain,omitempty"`
Temperature float64 `json:"temperature,omitempty"`
TopK int `json:"top_k,omitempty"`
MaxTokens int `json:"max_tokens,omitempty"`
Auditing bool `json:"auditing,omitempty"`
} `json:"chat"`
} `json:"parameter"`
Payload struct {
Message struct {
Text []XunfeiMessage `json:"text"`
} `json:"message"`
} `json:"payload"`
}
type XunfeiChatResponseTextItem struct {
Content string `json:"content"`
Role string `json:"role"`
Index int `json:"index"`
}
type XunfeiChatResponse struct {
Header struct {
Code int `json:"code"`
Message string `json:"message"`
Sid string `json:"sid"`
Status int `json:"status"`
} `json:"header"`
Payload struct {
Choices struct {
Status int `json:"status"`
Seq int `json:"seq"`
Text []XunfeiChatResponseTextItem `json:"text"`
} `json:"choices"`
Usage struct {
//Text struct {
// QuestionTokens string `json:"question_tokens"`
// PromptTokens string `json:"prompt_tokens"`
// CompletionTokens string `json:"completion_tokens"`
// TotalTokens string `json:"total_tokens"`
//} `json:"text"`
Text Usage `json:"text"`
} `json:"usage"`
} `json:"payload"`
}
func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string) *XunfeiChatRequest {
messages := make([]XunfeiMessage, 0, len(request.Messages))
for _, message := range request.Messages {
if message.Role == "system" {
messages = append(messages, XunfeiMessage{
Role: "user",
Content: message.Content,
})
messages = append(messages, XunfeiMessage{
Role: "assistant",
Content: "Okay",
})
} else {
messages = append(messages, XunfeiMessage{
Role: message.Role,
Content: message.Content,
})
}
}
xunfeiRequest := XunfeiChatRequest{}
xunfeiRequest.Header.AppId = xunfeiAppId
xunfeiRequest.Parameter.Chat.Domain = "general"
xunfeiRequest.Parameter.Chat.Temperature = request.Temperature
xunfeiRequest.Parameter.Chat.TopK = request.N
xunfeiRequest.Parameter.Chat.MaxTokens = request.MaxTokens
xunfeiRequest.Payload.Message.Text = messages
return &xunfeiRequest
}
func responseXunfei2OpenAI(response *XunfeiChatResponse) *OpenAITextResponse {
if len(response.Payload.Choices.Text) == 0 {
response.Payload.Choices.Text = []XunfeiChatResponseTextItem{
{
Content: "",
},
}
}
choice := OpenAITextResponseChoice{
Index: 0,
Message: Message{
Role: "assistant",
Content: response.Payload.Choices.Text[0].Content,
},
}
fullTextResponse := OpenAITextResponse{
Object: "chat.completion",
Created: common.GetTimestamp(),
Choices: []OpenAITextResponseChoice{choice},
Usage: response.Payload.Usage.Text,
}
return &fullTextResponse
}
func streamResponseXunfei2OpenAI(xunfeiResponse *XunfeiChatResponse) *ChatCompletionsStreamResponse {
if len(xunfeiResponse.Payload.Choices.Text) == 0 {
xunfeiResponse.Payload.Choices.Text = []XunfeiChatResponseTextItem{
{
Content: "",
},
}
}
var choice ChatCompletionsStreamResponseChoice
choice.Delta.Content = xunfeiResponse.Payload.Choices.Text[0].Content
response := ChatCompletionsStreamResponse{
Object: "chat.completion.chunk",
Created: common.GetTimestamp(),
Model: "SparkDesk",
Choices: []ChatCompletionsStreamResponseChoice{choice},
}
return &response
}
func buildXunfeiAuthUrl(hostUrl string, apiKey, apiSecret string) string {
HmacWithShaToBase64 := func(algorithm, data, key string) string {
mac := hmac.New(sha256.New, []byte(key))
mac.Write([]byte(data))
encodeData := mac.Sum(nil)
return base64.StdEncoding.EncodeToString(encodeData)
}
ul, err := url.Parse(hostUrl)
if err != nil {
fmt.Println(err)
}
date := time.Now().UTC().Format(time.RFC1123)
signString := []string{"host: " + ul.Host, "date: " + date, "GET " + ul.Path + " HTTP/1.1"}
sign := strings.Join(signString, "\n")
sha := HmacWithShaToBase64("hmac-sha256", sign, apiSecret)
authUrl := fmt.Sprintf("hmac username=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"", apiKey,
"hmac-sha256", "host date request-line", sha)
authorization := base64.StdEncoding.EncodeToString([]byte(authUrl))
v := url.Values{}
v.Add("host", ul.Host)
v.Add("date", date)
v.Add("authorization", authorization)
callUrl := hostUrl + "?" + v.Encode()
return callUrl
}
func xunfeiStreamHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*OpenAIErrorWithStatusCode, *Usage) {
var usage Usage
d := websocket.Dialer{
HandshakeTimeout: 5 * time.Second,
}
hostUrl := "wss://aichat.xf-yun.com/v1/chat"
conn, resp, err := d.Dial(buildXunfeiAuthUrl(hostUrl, apiKey, apiSecret), nil)
if err != nil || resp.StatusCode != 101 {
return errorWrapper(err, "dial_failed", http.StatusInternalServerError), nil
}
data := requestOpenAI2Xunfei(textRequest, appId)
err = conn.WriteJSON(data)
if err != nil {
return errorWrapper(err, "write_json_failed", http.StatusInternalServerError), nil
}
dataChan := make(chan XunfeiChatResponse)
stopChan := make(chan bool)
go func() {
for {
_, msg, err := conn.ReadMessage()
if err != nil {
common.SysError("error reading stream response: " + err.Error())
break
}
var response XunfeiChatResponse
err = json.Unmarshal(msg, &response)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
break
}
dataChan <- response
if response.Payload.Choices.Status == 2 {
err := conn.Close()
if err != nil {
common.SysError("error closing websocket connection: " + err.Error())
}
break
}
}
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 xunfeiResponse := <-dataChan:
usage.PromptTokens += xunfeiResponse.Payload.Usage.Text.PromptTokens
usage.CompletionTokens += xunfeiResponse.Payload.Usage.Text.CompletionTokens
usage.TotalTokens += xunfeiResponse.Payload.Usage.Text.TotalTokens
response := streamResponseXunfei2OpenAI(&xunfeiResponse)
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
}
})
return nil, &usage
}
func xunfeiHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
var xunfeiResponse XunfeiChatResponse
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, &xunfeiResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
}
if xunfeiResponse.Header.Code != 0 {
return &OpenAIErrorWithStatusCode{
OpenAIError: OpenAIError{
Message: xunfeiResponse.Header.Message,
Type: "xunfei_error",
Param: "",
Code: xunfeiResponse.Header.Code,
},
StatusCode: resp.StatusCode,
}, nil
}
fullTextResponse := responseXunfei2OpenAI(&xunfeiResponse)
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

@ -111,11 +111,22 @@ func getZhipuToken(apikey string) string {
func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
messages := make([]ZhipuMessage, 0, len(request.Messages))
for _, message := range request.Messages {
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,
Temperature: request.Temperature,
@ -183,8 +194,8 @@ func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
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 i := strings.Index(string(data), "\n\n"); i >= 0 && strings.Index(string(data), ":") >= 0 {
return i + 2, data[0:i], nil
}
if atEOF {
return len(data), data, nil
@ -197,14 +208,19 @@ func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
go func() {
for scanner.Scan() {
data := scanner.Text()
data = strings.Trim(data, "\"")
if len(data) < 5 { // ignore blank line or wrong format
lines := strings.Split(data, "\n")
for i, line := range lines {
if len(line) < 5 {
continue
}
if data[:5] == "data:" {
dataChan <- data[5:]
} else if data[:5] == "meta:" {
metaChan <- data[5:]
if line[:5] == "data:" {
dataChan <- line[5:]
if i != len(lines)-1 {
dataChan <- "\n"
}
} else if line[:5] == "meta:" {
metaChan <- line[5:]
}
}
}
stopChan <- true

View File

@ -81,6 +81,7 @@ type OpenAIErrorWithStatusCode struct {
}
type TextResponse struct {
Choices []OpenAITextResponseChoice `json:"choices"`
Usage `json:"usage"`
Error OpenAIError `json:"error"`
}
@ -99,6 +100,19 @@ 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 {

1
go.mod
View File

@ -13,6 +13,7 @@ require (
github.com/go-redis/redis/v8 v8.11.5
github.com/golang-jwt/jwt v3.2.2+incompatible
github.com/google/uuid v1.3.0
github.com/gorilla/websocket v1.5.0
github.com/pkoukk/tiktoken-go v0.1.1
golang.org/x/crypto v0.9.0
gorm.io/driver/mysql v1.4.3

2
go.sum
View File

@ -67,6 +67,8 @@ github.com/gorilla/securecookie v1.1.1 h1:miw7JPhV+b/lAHSXz4qd/nN9jRiAFV5FwjeKyC
github.com/gorilla/securecookie v1.1.1/go.mod h1:ra0sb63/xPlUeL+yeDciTfxMRAA+MP+HVt/4epWDjd4=
github.com/gorilla/sessions v1.2.1 h1:DHd3rPN5lE3Ts3D8rKkQ8x/0kqfeNmBAaiSi+o7FsgI=
github.com/gorilla/sessions v1.2.1/go.mod h1:dk2InVEVJ0sfLlnXv9EAgkf6ecYs/i80K/zI+bUmuGM=
github.com/gorilla/websocket v1.5.0 h1:PPwGk2jz7EePpoHN/+ClbZu8SPxiqlu12wZP/3sWmnc=
github.com/gorilla/websocket v1.5.0/go.mod h1:YR8l580nyteQvAITg2hZ9XVh4b55+EU/adAjf1fMHhE=
github.com/jinzhu/inflection v1.0.0 h1:K317FqzuhWc8YvSVlFMCCUb36O/S9MCKRDI7QkRKD/E=
github.com/jinzhu/inflection v1.0.0/go.mod h1:h+uFLlag+Qp1Va5pdKtLDYj+kHp5pxUVkryuEj+Srlc=
github.com/jinzhu/now v1.1.4/go.mod h1:d3SSVoowX0Lcu0IBviAWJpolVfI5UJVZZ7cO71lE/z8=

View File

@ -3,6 +3,11 @@
"%d 点额度": "%d point quota",
"尚未实现": "Not yet implemented",
"余额不足": "Insufficient balance",
"危险操作": "Hazardous operations",
"输入你的账户名": "Enter your account name",
"确认删除": "Confirm Delete",
"确认绑定": "Confirm Binding",
"您正在删除自己的帐户,将清空所有数据且不可恢复": "You are deleting your account, all data will be cleared and unrecoverable.",
"\"通道「%s」#%d已被禁用\"": "\"Channel %s (#%d) has been disabled\"",
"通道「%s」#%d已被禁用原因%s": "Channel %s (#%d) has been disabled, reason: %s",
"测试已在运行中": "Test is already running",
@ -427,7 +432,7 @@
"一分钟后过期": "Expires after one minute",
"创建新的令牌": "Create New Token",
"注意,令牌的额度仅用于限制令牌本身的最大额度使用量,实际的使用受到账户的剩余额度限制。": "Note that the quota of the token is only used to limit the maximum quota usage of the token itself, and the actual usage is limited by the remaining quota of the account.",
"设为无限额度": "Set to unlimited quota",
"设为无限额度": "Set to unlimited quota",
"更新令牌信息": "Update Token Information",
"请输入充值码!": "Please enter the recharge code!",
"请输入名称": "Please enter a name",
@ -493,6 +498,7 @@
"参数替换为你的部署名称(模型名称中的点会被剔除)": "Replace the parameter with your deployment name (dots in the model name will be removed)",
"模型映射必须是合法的 JSON 格式!": "Model mapping must be in valid JSON format!",
"取消无限额度": "Cancel unlimited quota",
"取消": "Cancel",
"请输入新的剩余额度": "Please enter the new remaining quota",
"请输入单个兑换码中包含的额度": "Please enter the quota included in a single redemption code",
"请输入用户名": "Please enter username",
@ -503,5 +509,14 @@
"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!",
"代理": "Proxy",
"此项可选,用于通过代理站来进行 API 调用请输入代理站地址格式为https://domain.com": "This is optional, used to make API calls through the proxy site, please enter the proxy site address, the format is: https://domain.com"
}

View File

@ -39,6 +39,8 @@ func InitOptionMap() {
common.OptionMap["DisplayInCurrencyEnabled"] = strconv.FormatBool(common.DisplayInCurrencyEnabled)
common.OptionMap["DisplayTokenStatEnabled"] = strconv.FormatBool(common.DisplayTokenStatEnabled)
common.OptionMap["ChannelDisableThreshold"] = strconv.FormatFloat(common.ChannelDisableThreshold, 'f', -1, 64)
common.OptionMap["EmailDomainRestrictionEnabled"] = strconv.FormatBool(common.EmailDomainRestrictionEnabled)
common.OptionMap["EmailDomainWhitelist"] = strings.Join(common.EmailDomainWhitelist, ",")
common.OptionMap["SMTPServer"] = ""
common.OptionMap["SMTPFrom"] = ""
common.OptionMap["SMTPPort"] = strconv.Itoa(common.SMTPPort)
@ -141,6 +143,8 @@ func updateOptionMap(key string, value string) (err error) {
common.TurnstileCheckEnabled = boolValue
case "RegisterEnabled":
common.RegisterEnabled = boolValue
case "EmailDomainRestrictionEnabled":
common.EmailDomainRestrictionEnabled = boolValue
case "AutomaticDisableChannelEnabled":
common.AutomaticDisableChannelEnabled = boolValue
case "ApproximateTokenEnabled":
@ -154,6 +158,8 @@ func updateOptionMap(key string, value string) (err error) {
}
}
switch key {
case "EmailDomainWhitelist":
common.EmailDomainWhitelist = strings.Split(value, ",")
case "SMTPServer":
common.SMTPServer = value
case "SMTPPort":

View File

@ -36,7 +36,7 @@ func SetApiRouter(router *gin.Engine) {
{
selfRoute.GET("/self", controller.GetSelf)
selfRoute.PUT("/self", controller.UpdateSelf)
selfRoute.DELETE("/self", middleware.TurnstileCheck(), controller.DeleteSelf)
selfRoute.DELETE("/self", controller.DeleteSelf)
selfRoute.GET("/token", controller.GenerateAccessToken)
selfRoute.GET("/aff", controller.GetAffCode)
selfRoute.POST("/topup", controller.TopUp)

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

@ -25,6 +25,8 @@ const PersonalSetting = () => {
const [loading, setLoading] = useState(false);
const [disableButton, setDisableButton] = useState(false);
const [countdown, setCountdown] = useState(30);
const [affLink, setAffLink] = useState("");
const [systemToken, setSystemToken] = useState("");
useEffect(() => {
let status = localStorage.getItem('status');
@ -59,8 +61,10 @@ const PersonalSetting = () => {
const res = await API.get('/api/user/token');
const { success, message, data } = res.data;
if (success) {
setSystemToken(data);
setAffLink("");
await copy(data);
showSuccess(`令牌已重置并已复制到剪贴板:${data}`);
showSuccess(`令牌已重置并已复制到剪贴板`);
} else {
showError(message);
}
@ -71,13 +75,27 @@ const PersonalSetting = () => {
const { success, message, data } = res.data;
if (success) {
let link = `${window.location.origin}/register?aff=${data}`;
setAffLink(link);
setSystemToken("");
await copy(link);
showNotice(`邀请链接已复制到剪切板:${link}`);
showSuccess(`邀请链接已复制到剪切板`);
} else {
showError(message);
}
};
const handleAffLinkClick = async (e) => {
e.target.select();
await copy(e.target.value);
showSuccess(`邀请链接已复制到剪切板`);
};
const handleSystemTokenClick = async (e) => {
e.target.select();
await copy(e.target.value);
showSuccess(`系统令牌已复制到剪切板`);
};
const deleteAccount = async () => {
if (inputs.self_account_deletion_confirmation !== userState.user.username) {
showError('请输入你的账户名以确认删除!');
@ -168,6 +186,25 @@ const PersonalSetting = () => {
<Button onClick={() => {
setShowAccountDeleteModal(true);
}}>删除个人账户</Button>
{systemToken && (
<Form.Input
fluid
readOnly
value={systemToken}
onClick={handleSystemTokenClick}
style={{ marginTop: '10px' }}
/>
)}
{affLink && (
<Form.Input
fluid
readOnly
value={affLink}
onClick={handleAffLinkClick}
style={{ marginTop: '10px' }}
/>
)}
<Divider />
<Header as='h3'>账号绑定</Header>
{
@ -262,6 +299,7 @@ const PersonalSetting = () => {
) : (
<></>
)}
<div style={{ display: 'flex', justifyContent: 'space-between', marginTop: '1rem' }}>
<Button
color=''
fluid
@ -269,8 +307,17 @@ const PersonalSetting = () => {
onClick={bindEmail}
loading={loading}
>
绑定
确认绑定
</Button>
<div style={{ width: '1rem' }}></div>
<Button
fluid
size='large'
onClick={() => setShowEmailBindModal(false)}
>
取消
</Button>
</div>
</Form>
</Modal.Description>
</Modal.Content>
@ -282,8 +329,9 @@ const PersonalSetting = () => {
size={'tiny'}
style={{ maxWidth: '450px' }}
>
<Modal.Header>确认删除自己的帐户</Modal.Header>
<Modal.Header>危险操作</Modal.Header>
<Modal.Content>
<Message>您正在删除自己的帐户将清空所有数据且不可恢复</Message>
<Modal.Description>
<Form size='large'>
<Form.Input
@ -303,6 +351,7 @@ const PersonalSetting = () => {
) : (
<></>
)}
<div style={{ display: 'flex', justifyContent: 'space-between', marginTop: '1rem' }}>
<Button
color='red'
fluid
@ -310,8 +359,17 @@ const PersonalSetting = () => {
onClick={deleteAccount}
loading={loading}
>
删除
确认删除
</Button>
<div style={{ width: '1rem' }}></div>
<Button
fluid
size='large'
onClick={() => setShowAccountDeleteModal(false)}
>
取消
</Button>
</div>
</Form>
</Modal.Description>
</Modal.Content>

View File

@ -1,6 +1,6 @@
import React, { useEffect, useState } from 'react';
import { Divider, Form, Grid, Header, Message } from 'semantic-ui-react';
import { API, removeTrailingSlash, showError, verifyJSON } from '../helpers';
import { Button, Divider, Form, Grid, Header, Input, Message } from 'semantic-ui-react';
import { API, removeTrailingSlash, showError } from '../helpers';
const SystemSetting = () => {
let [inputs, setInputs] = useState({
@ -26,9 +26,13 @@ const SystemSetting = () => {
TurnstileSiteKey: '',
TurnstileSecretKey: '',
RegisterEnabled: '',
EmailDomainRestrictionEnabled: '',
EmailDomainWhitelist: ''
});
const [originInputs, setOriginInputs] = useState({});
let [loading, setLoading] = useState(false);
const [EmailDomainWhitelist, setEmailDomainWhitelist] = useState([]);
const [restrictedDomainInput, setRestrictedDomainInput] = useState('');
const getOptions = async () => {
const res = await API.get('/api/option/');
@ -38,8 +42,15 @@ const SystemSetting = () => {
data.forEach((item) => {
newInputs[item.key] = item.value;
});
setInputs(newInputs);
setInputs({
...newInputs,
EmailDomainWhitelist: newInputs.EmailDomainWhitelist.split(',')
});
setOriginInputs(newInputs);
setEmailDomainWhitelist(newInputs.EmailDomainWhitelist.split(',').map((item) => {
return { key: item, text: item, value: item };
}));
} else {
showError(message);
}
@ -58,6 +69,7 @@ const SystemSetting = () => {
case 'GitHubOAuthEnabled':
case 'WeChatAuthEnabled':
case 'TurnstileCheckEnabled':
case 'EmailDomainRestrictionEnabled':
case 'RegisterEnabled':
value = inputs[key] === 'true' ? 'false' : 'true';
break;
@ -70,7 +82,12 @@ const SystemSetting = () => {
});
const { success, message } = res.data;
if (success) {
setInputs((inputs) => ({ ...inputs, [key]: value }));
if (key === 'EmailDomainWhitelist') {
value = value.split(',');
}
setInputs((inputs) => ({
...inputs, [key]: value
}));
} else {
showError(message);
}
@ -88,7 +105,8 @@ const SystemSetting = () => {
name === 'WeChatServerToken' ||
name === 'WeChatAccountQRCodeImageURL' ||
name === 'TurnstileSiteKey' ||
name === 'TurnstileSecretKey'
name === 'TurnstileSecretKey' ||
name === 'EmailDomainWhitelist'
) {
setInputs((inputs) => ({ ...inputs, [name]: value }));
} else {
@ -125,6 +143,16 @@ const SystemSetting = () => {
}
};
const submitEmailDomainWhitelist = async () => {
if (
originInputs['EmailDomainWhitelist'] !== inputs.EmailDomainWhitelist.join(',') &&
inputs.SMTPToken !== ''
) {
await updateOption('EmailDomainWhitelist', inputs.EmailDomainWhitelist.join(','));
}
};
const submitWeChat = async () => {
if (originInputs['WeChatServerAddress'] !== inputs.WeChatServerAddress) {
await updateOption(
@ -173,6 +201,22 @@ const SystemSetting = () => {
}
};
const submitNewRestrictedDomain = () => {
const localDomainList = inputs.EmailDomainWhitelist;
if (restrictedDomainInput !== '' && !localDomainList.includes(restrictedDomainInput)) {
setRestrictedDomainInput('');
setInputs({
...inputs,
EmailDomainWhitelist: [...localDomainList, restrictedDomainInput],
});
setEmailDomainWhitelist([...EmailDomainWhitelist, {
key: restrictedDomainInput,
text: restrictedDomainInput,
value: restrictedDomainInput,
}]);
}
}
return (
<Grid columns={1}>
<Grid.Column>
@ -239,6 +283,54 @@ const SystemSetting = () => {
/>
</Form.Group>
<Divider />
<Header as='h3'>
配置邮箱域名白名单
<Header.Subheader>用以防止恶意用户利用临时邮箱批量注册</Header.Subheader>
</Header>
<Form.Group widths={3}>
<Form.Checkbox
label='启用邮箱域名白名单'
name='EmailDomainRestrictionEnabled'
onChange={handleInputChange}
checked={inputs.EmailDomainRestrictionEnabled === 'true'}
/>
</Form.Group>
<Form.Group widths={2}>
<Form.Dropdown
label='允许的邮箱域名'
placeholder='允许的邮箱域名'
name='EmailDomainWhitelist'
required
fluid
multiple
selection
onChange={handleInputChange}
value={inputs.EmailDomainWhitelist}
autoComplete='new-password'
options={EmailDomainWhitelist}
/>
<Form.Input
label='添加新的允许的邮箱域名'
action={
<Button type='button' onClick={() => {
submitNewRestrictedDomain();
}}>填入</Button>
}
onKeyDown={(e) => {
if (e.key === 'Enter') {
submitNewRestrictedDomain();
}
}}
autoComplete='new-password'
placeholder='输入新的允许的邮箱域名'
value={restrictedDomainInput}
onChange={(e, { value }) => {
setRestrictedDomainInput(value);
}}
/>
</Form.Group>
<Form.Button onClick={submitEmailDomainWhitelist}>保存邮箱域名白名单设置</Form.Button>
<Divider />
<Header as='h3'>
配置 SMTP
<Header.Subheader>用以支持系统的邮件发送</Header.Subheader>
@ -284,7 +376,7 @@ const SystemSetting = () => {
onChange={handleInputChange}
type='password'
autoComplete='new-password'
value={inputs.SMTPToken}
checked={inputs.RegisterEnabled === 'true'}
placeholder='敏感信息不会发送到前端显示'
/>
</Form.Group>

View File

@ -1,11 +1,22 @@
import React, { useEffect, useState } from 'react';
import { Button, Form, Label, Modal, Pagination, Popup, Table } from 'semantic-ui-react';
import { Button, Dropdown, Form, Label, Pagination, Popup, Table } from 'semantic-ui-react';
import { Link } from 'react-router-dom';
import { API, copy, showError, showSuccess, showWarning, timestamp2string } from '../helpers';
import { ITEMS_PER_PAGE } from '../constants';
import { renderQuota } from '../helpers/render';
const COPY_OPTIONS = [
{ key: 'next', text: 'ChatGPT Next Web', value: 'next' },
{ key: 'ama', text: 'AMA 问天', value: 'ama' },
{ key: 'opencat', text: 'OpenCat', value: 'opencat' },
];
const OPEN_LINK_OPTIONS = [
{ key: 'ama', text: 'AMA 问天', value: 'ama' },
{ key: 'opencat', text: 'OpenCat', value: 'opencat' },
];
function renderTimestamp(timestamp) {
return (
<>
@ -68,6 +79,84 @@ const TokensTable = () => {
const refresh = async () => {
setLoading(true);
await loadTokens(activePage - 1);
};
const onCopy = async (type, key) => {
let status = localStorage.getItem('status');
let serverAddress = '';
if (status) {
status = JSON.parse(status);
serverAddress = status.server_address;
}
if (serverAddress === '') {
serverAddress = window.location.origin;
}
let encodedServerAddress = encodeURIComponent(serverAddress);
const nextLink = localStorage.getItem('chat_link');
let nextUrl;
if (nextLink) {
nextUrl = nextLink + `/#/?settings={"key":"sk-${key}"}`;
} else {
nextUrl = `https://chat.oneapi.pro/#/?settings={"key":"sk-${key}","url":"${serverAddress}"}`;
}
let url;
switch (type) {
case 'ama':
url = `ama://set-api-key?server=${encodedServerAddress}&key=sk-${key}`;
break;
case 'opencat':
url = `opencat://team/join?domain=${encodedServerAddress}&token=sk-${key}`;
break;
case 'next':
url = nextUrl;
break;
default:
url = `sk-${key}`;
}
if (await copy(url)) {
showSuccess('已复制到剪贴板!');
} else {
showWarning('无法复制到剪贴板,请手动复制,已将令牌填入搜索框。');
setSearchKeyword(url);
}
};
const onOpenLink = async (type, key) => {
let status = localStorage.getItem('status');
let serverAddress = '';
if (status) {
status = JSON.parse(status);
serverAddress = status.server_address;
}
if (serverAddress === '') {
serverAddress = window.location.origin;
}
let encodedServerAddress = encodeURIComponent(serverAddress);
const chatLink = localStorage.getItem('chat_link');
let defaultUrl;
if (chatLink) {
defaultUrl = chatLink + `/#/?settings={"key":"sk-${key}"}`;
} else {
defaultUrl = `https://chat.oneapi.pro/#/?settings={"key":"sk-${key}","url":"${serverAddress}"}`;
}
let url;
switch (type) {
case 'ama':
url = `ama://set-api-key?server=${encodedServerAddress}&key=sk-${key}`;
break;
case 'opencat':
url = `opencat://team/join?domain=${encodedServerAddress}&token=sk-${key}`;
break;
default:
url = defaultUrl;
}
window.open(url, '_blank');
}
useEffect(() => {
@ -235,21 +324,51 @@ const TokensTable = () => {
<Table.Cell>{token.expired_time === -1 ? '永不过期' : renderTimestamp(token.expired_time)}</Table.Cell>
<Table.Cell>
<div>
<Button.Group color='green' size={'small'}>
<Button
size={'small'}
positive
onClick={async () => {
let key = "sk-" + token.key;
if (await copy(key)) {
showSuccess('已复制到剪贴板!');
} else {
showWarning('无法复制到剪贴板,请手动复制,已将令牌填入搜索框。');
setSearchKeyword(key);
}
await onCopy('', token.key);
}}
>
复制
</Button>
<Dropdown
className='button icon'
floating
options={COPY_OPTIONS.map(option => ({
...option,
onClick: async () => {
await onCopy(option.value, token.key);
}
}))}
trigger={<></>}
/>
</Button.Group>
{' '}
<Button.Group color='blue' size={'small'}>
<Button
size={'small'}
positive
onClick={() => {
onOpenLink('', token.key);
}}>
聊天
</Button>
<Dropdown
className="button icon"
floating
options={OPEN_LINK_OPTIONS.map(option => ({
...option,
onClick: async () => {
await onOpenLink(option.value, token.key);
}
}))}
trigger={<></>}
/>
</Button.Group>
{' '}
<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 +4,8 @@ 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: 18, text: '讯飞星火认知', value: 18, color: 'blue' },
{ 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' },

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 +35,30 @@ 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;
case 18:
localModels = ['SparkDesk'];
break;
}
setInputs((inputs) => ({ ...inputs, models: localModels }));
}
};
const loadChannel = async () => {
@ -132,7 +156,10 @@ 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 +219,7 @@ 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 +297,8 @@ 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 +306,9 @@ const EditChannel = () => {
localModelOptions.push({
key: customModel,
text: customModel,
value: customModel,
value: customModel
});
setModelOptions(modelOptions=>{
setModelOptions(modelOptions => {
return [...modelOptions, ...localModelOptions];
});
setCustomModel('');
@ -297,7 +324,7 @@ 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 +350,7 @@ 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' : (inputs.type === 18 ? '按照如下格式输入APPID|APISecret|APIKey' : '请输入渠道对应的鉴权密钥')}
onChange={handleInputChange}
value={inputs.key}
autoComplete='new-password'
@ -344,9 +371,9 @@ const EditChannel = () => {
inputs.type !== 3 && inputs.type !== 8 && (
<Form.Field>
<Form.Input
label='镜像'
label='代理'
name='base_url'
placeholder={'此项可选,用于通过镜像站来进行 API 调用,请输入镜像站地址格式为https://domain.com'}
placeholder={'此项可选,用于通过代理站来进行 API 调用,请输入代理站地址格式为https://domain.com'}
onChange={handleInputChange}
value={inputs.base_url}
autoComplete='new-password'
@ -354,7 +381,7 @@ 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

@ -1,6 +1,6 @@
import React, { useEffect, useState } from 'react';
import { Button, Form, Header, Message, Segment } from 'semantic-ui-react';
import { useParams } from 'react-router-dom';
import { useParams, useNavigate } from 'react-router-dom';
import { API, showError, showSuccess, timestamp2string } from '../../helpers';
import { renderQuota, renderQuotaWithPrompt } from '../../helpers/render';
@ -17,11 +17,13 @@ const EditToken = () => {
};
const [inputs, setInputs] = useState(originInputs);
const { name, remain_quota, expired_time, unlimited_quota } = inputs;
const navigate = useNavigate();
const handleInputChange = (e, { name, value }) => {
setInputs((inputs) => ({ ...inputs, [name]: value }));
};
const handleCancel = () => {
navigate("/token");
}
const setExpiredTime = (month, day, hour, minute) => {
let now = new Date();
let timestamp = now.getTime() / 1000;
@ -83,7 +85,7 @@ 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 {
@ -150,8 +152,9 @@ const EditToken = () => {
</Form.Field>
<Button type={'button'} onClick={() => {
setUnlimitedQuota();
}}>{unlimited_quota ? '取消无限额度' : '设置为无限额度'}</Button>
<Button positive onClick={submit}>提交</Button>
}}>{unlimited_quota ? '取消无限额度' : '设为无限额度'}</Button>
<Button floated='right' positive onClick={submit}>提交</Button>
<Button floated='right' onClick={handleCancel}>取消</Button>
</Form>
</Segment>
</>

View File

@ -1,6 +1,6 @@
import React, { useEffect, useState } from 'react';
import { Button, Form, Header, Segment } from 'semantic-ui-react';
import { useParams } from 'react-router-dom';
import { useParams, useNavigate } from 'react-router-dom';
import { API, showError, showSuccess } from '../../helpers';
import { renderQuota, renderQuotaWithPrompt } from '../../helpers/render';
@ -36,7 +36,10 @@ const EditUser = () => {
showError(error.message);
}
};
const navigate = useNavigate();
const handleCancel = () => {
navigate("/setting");
}
const loadUser = async () => {
let res = undefined;
if (userId) {
@ -176,6 +179,7 @@ const EditUser = () => {
readOnly
/>
</Form.Field>
<Button onClick={handleCancel}>取消</Button>
<Button positive onClick={submit}>提交</Button>
</Form>
</Segment>