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	Compare commits
	
		
			31 Commits
		
	
	
		
			v0.5.7-alp
			...
			v0.5.8
		
	
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					e28d4b1741 | 
							
								
								
									
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							@@ -5,4 +5,5 @@ upload
 | 
			
		||||
*.db
 | 
			
		||||
build
 | 
			
		||||
*.db-journal
 | 
			
		||||
logs
 | 
			
		||||
logs
 | 
			
		||||
data
 | 
			
		||||
@@ -189,6 +189,8 @@ If you encounter a blank page after deployment, refer to [#97](https://github.co
 | 
			
		||||
 | 
			
		||||
> Zeabur's servers are located overseas, automatically solving network issues, and the free quota is sufficient for personal usage.
 | 
			
		||||
 | 
			
		||||
[](https://zeabur.com/templates/7Q0KO3)
 | 
			
		||||
 | 
			
		||||
1. First, fork the code.
 | 
			
		||||
2. Go to [Zeabur](https://zeabur.com?referralCode=songquanpeng), log in, and enter the console.
 | 
			
		||||
3. Create a new project. In Service -> Add Service, select Marketplace, and choose MySQL. Note down the connection parameters (username, password, address, and port).
 | 
			
		||||
 
 | 
			
		||||
@@ -190,6 +190,8 @@ Please refer to the [environment variables](#environment-variables) section for
 | 
			
		||||
 | 
			
		||||
> Zeabur のサーバーは海外にあるため、ネットワークの問題は自動的に解決されます。
 | 
			
		||||
 | 
			
		||||
[](https://zeabur.com/templates/7Q0KO3)
 | 
			
		||||
 | 
			
		||||
1. まず、コードをフォークする。
 | 
			
		||||
2. [Zeabur](https://zeabur.com?referralCode=songquanpeng) にアクセスしてログインし、コンソールに入る。
 | 
			
		||||
3. 新しいプロジェクトを作成します。Service -> Add ServiceでMarketplace を選択し、MySQL を選択する。接続パラメータ(ユーザー名、パスワード、アドレス、ポート)をメモします。
 | 
			
		||||
 
 | 
			
		||||
							
								
								
									
										32
									
								
								README.md
									
									
									
									
									
								
							
							
						
						
									
										32
									
								
								README.md
									
									
									
									
									
								
							@@ -75,7 +75,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用 
 | 
			
		||||
   + [x] [腾讯混元大模型](https://cloud.tencent.com/document/product/1729)
 | 
			
		||||
2. 支持配置镜像以及众多第三方代理服务:
 | 
			
		||||
   + [x] [OpenAI-SB](https://openai-sb.com)
 | 
			
		||||
   + [x] [CloseAI](https://console.closeai-asia.com/r/2412)
 | 
			
		||||
   + [x] [CloseAI](https://referer.shadowai.xyz/r/2412)
 | 
			
		||||
   + [x] [API2D](https://api2d.com/r/197971)
 | 
			
		||||
   + [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf)
 | 
			
		||||
   + [x] [AI Proxy](https://aiproxy.io/?i=OneAPI) (邀请码:`OneAPI`)
 | 
			
		||||
@@ -92,15 +92,16 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用 
 | 
			
		||||
12. 支持**用户邀请奖励**。
 | 
			
		||||
13. 支持以美元为单位显示额度。
 | 
			
		||||
14. 支持发布公告,设置充值链接,设置新用户初始额度。
 | 
			
		||||
15. 支持模型映射,重定向用户的请求模型。
 | 
			
		||||
15. 支持模型映射,重定向用户的请求模型,如无必要请不要设置,设置之后会导致请求体被重新构造而非直接透传,会导致部分还未正式支持的字段无法传递成功。
 | 
			
		||||
16. 支持失败自动重试。
 | 
			
		||||
17. 支持绘图接口。
 | 
			
		||||
18. 支持丰富的**自定义**设置,
 | 
			
		||||
18. 支持 [Cloudflare AI Gateway](https://developers.cloudflare.com/ai-gateway/providers/openai/),渠道设置的代理部分填写 `https://gateway.ai.cloudflare.com/v1/ACCOUNT_TAG/GATEWAY/openai` 即可。
 | 
			
		||||
19. 支持丰富的**自定义**设置,
 | 
			
		||||
    1. 支持自定义系统名称,logo 以及页脚。
 | 
			
		||||
    2. 支持自定义首页和关于页面,可以选择使用 HTML & Markdown 代码进行自定义,或者使用一个单独的网页通过 iframe 嵌入。
 | 
			
		||||
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**:
 | 
			
		||||
20. 支持通过系统访问令牌访问管理 API(bearer token,用以替代 cookie,你可以自行抓包来查看 API 的用法)。
 | 
			
		||||
21. 支持 Cloudflare Turnstile 用户校验。
 | 
			
		||||
22. 支持用户管理,支持**多种用户登录注册方式**:
 | 
			
		||||
    + 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))。
 | 
			
		||||
@@ -159,6 +160,19 @@ sudo service nginx restart
 | 
			
		||||
 | 
			
		||||
初始账号用户名为 `root`,密码为 `123456`。
 | 
			
		||||
 | 
			
		||||
 | 
			
		||||
### 基于 Docker Compose 进行部署
 | 
			
		||||
 | 
			
		||||
> 仅启动方式不同,参数设置不变,请参考基于 Docker 部署部分
 | 
			
		||||
 | 
			
		||||
```shell
 | 
			
		||||
# 目前支持 MySQL 启动,数据存储在 ./data/mysql 文件夹内
 | 
			
		||||
docker-compose up -d
 | 
			
		||||
 | 
			
		||||
# 查看部署状态
 | 
			
		||||
docker-compose ps
 | 
			
		||||
```
 | 
			
		||||
 | 
			
		||||
### 手动部署
 | 
			
		||||
1. 从 [GitHub Releases](https://github.com/songquanpeng/one-api/releases/latest) 下载可执行文件或者从源码编译:
 | 
			
		||||
   ```shell
 | 
			
		||||
@@ -248,6 +262,8 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope
 | 
			
		||||
 | 
			
		||||
> Zeabur 的服务器在国外,自动解决了网络的问题,同时免费的额度也足够个人使用
 | 
			
		||||
 | 
			
		||||
[](https://zeabur.com/templates/7Q0KO3)
 | 
			
		||||
 | 
			
		||||
1. 首先 fork 一份代码。
 | 
			
		||||
2. 进入 [Zeabur](https://zeabur.com?referralCode=songquanpeng),登录,进入控制台。
 | 
			
		||||
3. 新建一个 Project,在 Service -> Add Service 选择 Marketplace,选择 MySQL,并记下连接参数(用户名、密码、地址、端口)。
 | 
			
		||||
@@ -351,6 +367,10 @@ graph LR
 | 
			
		||||
13. 请求频率限制:
 | 
			
		||||
    + `GLOBAL_API_RATE_LIMIT`:全局 API 速率限制(除中继请求外),单 ip 三分钟内的最大请求数,默认为 `180`。
 | 
			
		||||
    + `GLOBAL_WEB_RATE_LIMIT`:全局 Web 速率限制,单 ip 三分钟内的最大请求数,默认为 `60`。
 | 
			
		||||
14. 编码器缓存设置:
 | 
			
		||||
    + `TIKTOKEN_CACHE_DIR`:默认程序启动时会联网下载一些通用的词元的编码,如:`gpt-3.5-turbo`,在一些网络环境不稳定,或者离线情况,可能会导致启动有问题,可以配置此目录缓存数据,可迁移到离线环境。
 | 
			
		||||
    + `DATA_GYM_CACHE_DIR`:目前该配置作用与 `TIKTOKEN_CACHE_DIR` 一致,但是优先级没有它高。
 | 
			
		||||
15. `RELAY_TIMEOUT`:中继超时设置,单位为秒,默认不设置超时时间。
 | 
			
		||||
 | 
			
		||||
### 命令行参数
 | 
			
		||||
1. `--port <port_number>`: 指定服务器监听的端口号,默认为 `3000`。
 | 
			
		||||
 
 | 
			
		||||
@@ -21,12 +21,9 @@ var QuotaPerUnit = 500 * 1000.0 // $0.002 / 1K tokens
 | 
			
		||||
var DisplayInCurrencyEnabled = true
 | 
			
		||||
var DisplayTokenStatEnabled = true
 | 
			
		||||
 | 
			
		||||
var UsingSQLite = false
 | 
			
		||||
 | 
			
		||||
// Any options with "Secret", "Token" in its key won't be return by GetOptions
 | 
			
		||||
 | 
			
		||||
var SessionSecret = uuid.New().String()
 | 
			
		||||
var SQLitePath = "one-api.db"
 | 
			
		||||
 | 
			
		||||
var OptionMap map[string]string
 | 
			
		||||
var OptionMapRWMutex sync.RWMutex
 | 
			
		||||
@@ -98,6 +95,8 @@ var SyncFrequency = GetOrDefault("SYNC_FREQUENCY", 10*60) // unit is second
 | 
			
		||||
var BatchUpdateEnabled = false
 | 
			
		||||
var BatchUpdateInterval = GetOrDefault("BATCH_UPDATE_INTERVAL", 5)
 | 
			
		||||
 | 
			
		||||
var RelayTimeout = GetOrDefault("RELAY_TIMEOUT", 0) // unit is second
 | 
			
		||||
 | 
			
		||||
const (
 | 
			
		||||
	RequestIdKey = "X-Oneapi-Request-Id"
 | 
			
		||||
)
 | 
			
		||||
 
 | 
			
		||||
							
								
								
									
										6
									
								
								common/database.go
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										6
									
								
								common/database.go
									
									
									
									
									
										Normal file
									
								
							@@ -0,0 +1,6 @@
 | 
			
		||||
package common
 | 
			
		||||
 | 
			
		||||
var UsingSQLite = false
 | 
			
		||||
var UsingPostgreSQL = false
 | 
			
		||||
 | 
			
		||||
var SQLitePath = "one-api.db"
 | 
			
		||||
@@ -5,6 +5,7 @@ import (
 | 
			
		||||
	"encoding/json"
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
	"io"
 | 
			
		||||
	"strings"
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
func UnmarshalBodyReusable(c *gin.Context, v any) error {
 | 
			
		||||
@@ -16,7 +17,13 @@ func UnmarshalBodyReusable(c *gin.Context, v any) error {
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return err
 | 
			
		||||
	}
 | 
			
		||||
	err = json.Unmarshal(requestBody, &v)
 | 
			
		||||
	contentType := c.Request.Header.Get("Content-Type")
 | 
			
		||||
	if strings.HasPrefix(contentType, "application/json") {
 | 
			
		||||
		err = json.Unmarshal(requestBody, &v)
 | 
			
		||||
	} else {
 | 
			
		||||
		// skip for now
 | 
			
		||||
		// TODO: someday non json request have variant model, we will need to implementation this
 | 
			
		||||
	}
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return err
 | 
			
		||||
	}
 | 
			
		||||
 
 | 
			
		||||
@@ -3,8 +3,32 @@ package common
 | 
			
		||||
import (
 | 
			
		||||
	"encoding/json"
 | 
			
		||||
	"strings"
 | 
			
		||||
	"time"
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
var DalleSizeRatios = map[string]map[string]float64{
 | 
			
		||||
	"dall-e-2": {
 | 
			
		||||
		"256x256":   1,
 | 
			
		||||
		"512x512":   1.125,
 | 
			
		||||
		"1024x1024": 1.25,
 | 
			
		||||
	},
 | 
			
		||||
	"dall-e-3": {
 | 
			
		||||
		"1024x1024": 1,
 | 
			
		||||
		"1024x1792": 2,
 | 
			
		||||
		"1792x1024": 2,
 | 
			
		||||
	},
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
var DalleGenerationImageAmounts = map[string][2]int{
 | 
			
		||||
	"dall-e-2": {1, 10},
 | 
			
		||||
	"dall-e-3": {1, 1}, // OpenAI allows n=1 currently.
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
var DalleImagePromptLengthLimitations = map[string]int{
 | 
			
		||||
	"dall-e-2": 1000,
 | 
			
		||||
	"dall-e-3": 4000,
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
// ModelRatio
 | 
			
		||||
// https://platform.openai.com/docs/models/model-endpoint-compatibility
 | 
			
		||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
 | 
			
		||||
@@ -19,12 +43,15 @@ var ModelRatio = map[string]float64{
 | 
			
		||||
	"gpt-4-32k":                 30,
 | 
			
		||||
	"gpt-4-32k-0314":            30,
 | 
			
		||||
	"gpt-4-32k-0613":            30,
 | 
			
		||||
	"gpt-4-1106-preview":        5,    // $0.01 / 1K tokens
 | 
			
		||||
	"gpt-4-vision-preview":      5,    // $0.01 / 1K tokens
 | 
			
		||||
	"gpt-3.5-turbo":             0.75, // $0.0015 / 1K tokens
 | 
			
		||||
	"gpt-3.5-turbo-0301":        0.75,
 | 
			
		||||
	"gpt-3.5-turbo-0613":        0.75,
 | 
			
		||||
	"gpt-3.5-turbo-16k":         1.5, // $0.003 / 1K tokens
 | 
			
		||||
	"gpt-3.5-turbo-16k-0613":    1.5,
 | 
			
		||||
	"gpt-3.5-turbo-instruct":    0.75, // $0.0015 / 1K tokens
 | 
			
		||||
	"gpt-3.5-turbo-1106":        0.5,  // $0.001 / 1K tokens
 | 
			
		||||
	"text-ada-001":              0.2,
 | 
			
		||||
	"text-babbage-001":          0.25,
 | 
			
		||||
	"text-curie-001":            1,
 | 
			
		||||
@@ -32,7 +59,11 @@ var ModelRatio = map[string]float64{
 | 
			
		||||
	"text-davinci-003":          10,
 | 
			
		||||
	"text-davinci-edit-001":     10,
 | 
			
		||||
	"code-davinci-edit-001":     10,
 | 
			
		||||
	"whisper-1":                 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
 | 
			
		||||
	"whisper-1":                 15,  // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
 | 
			
		||||
	"tts-1":                     7.5, // $0.015 / 1K characters
 | 
			
		||||
	"tts-1-1106":                7.5,
 | 
			
		||||
	"tts-1-hd":                  15, // $0.030 / 1K characters
 | 
			
		||||
	"tts-1-hd-1106":             15,
 | 
			
		||||
	"davinci":                   10,
 | 
			
		||||
	"curie":                     10,
 | 
			
		||||
	"babbage":                   10,
 | 
			
		||||
@@ -41,13 +72,16 @@ var ModelRatio = map[string]float64{
 | 
			
		||||
	"text-search-ada-doc-001":   10,
 | 
			
		||||
	"text-moderation-stable":    0.1,
 | 
			
		||||
	"text-moderation-latest":    0.1,
 | 
			
		||||
	"dall-e":                    8,
 | 
			
		||||
	"dall-e-2":                  8,      // $0.016 - $0.020 / image
 | 
			
		||||
	"dall-e-3":                  20,     // $0.040 - $0.120 / image
 | 
			
		||||
	"claude-instant-1":          0.815,  // $1.63 / 1M tokens
 | 
			
		||||
	"claude-2":                  5.51,   // $11.02 / 1M tokens
 | 
			
		||||
	"ERNIE-Bot":                 0.8572, // ¥0.012 / 1k tokens
 | 
			
		||||
	"ERNIE-Bot-turbo":           0.5715, // ¥0.008 / 1k tokens
 | 
			
		||||
	"ERNIE-Bot-4":               8.572,  // ¥0.12 / 1k tokens
 | 
			
		||||
	"Embedding-V1":              0.1429, // ¥0.002 / 1k tokens
 | 
			
		||||
	"PaLM-2":                    1,
 | 
			
		||||
	"chatglm_turbo":             0.3572, // ¥0.005 / 1k tokens
 | 
			
		||||
	"chatglm_pro":               0.7143, // ¥0.01 / 1k tokens
 | 
			
		||||
	"chatglm_std":               0.3572, // ¥0.005 / 1k tokens
 | 
			
		||||
	"chatglm_lite":              0.1429, // ¥0.002 / 1k tokens
 | 
			
		||||
@@ -86,9 +120,24 @@ func GetModelRatio(name string) float64 {
 | 
			
		||||
 | 
			
		||||
func GetCompletionRatio(name string) float64 {
 | 
			
		||||
	if strings.HasPrefix(name, "gpt-3.5") {
 | 
			
		||||
		if strings.HasSuffix(name, "1106") {
 | 
			
		||||
			return 2
 | 
			
		||||
		}
 | 
			
		||||
		if name == "gpt-3.5-turbo" || name == "gpt-3.5-turbo-16k" {
 | 
			
		||||
			// TODO: clear this after 2023-12-11
 | 
			
		||||
			now := time.Now()
 | 
			
		||||
			// https://platform.openai.com/docs/models/continuous-model-upgrades
 | 
			
		||||
			// if after 2023-12-11, use 2
 | 
			
		||||
			if now.After(time.Date(2023, 12, 11, 0, 0, 0, 0, time.UTC)) {
 | 
			
		||||
				return 2
 | 
			
		||||
			}
 | 
			
		||||
		}
 | 
			
		||||
		return 1.333333
 | 
			
		||||
	}
 | 
			
		||||
	if strings.HasPrefix(name, "gpt-4") {
 | 
			
		||||
		if strings.HasSuffix(name, "preview") {
 | 
			
		||||
			return 3
 | 
			
		||||
		}
 | 
			
		||||
		return 2
 | 
			
		||||
	}
 | 
			
		||||
	if strings.HasPrefix(name, "claude-instant-1") {
 | 
			
		||||
 
 | 
			
		||||
@@ -199,3 +199,11 @@ func GetOrDefault(env string, defaultValue int) int {
 | 
			
		||||
func MessageWithRequestId(message string, id string) string {
 | 
			
		||||
	return fmt.Sprintf("%s (request id: %s)", message, id)
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func String2Int(str string) int {
 | 
			
		||||
	num, err := strconv.Atoi(str)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return 0
 | 
			
		||||
	}
 | 
			
		||||
	return num
 | 
			
		||||
}
 | 
			
		||||
 
 | 
			
		||||
@@ -5,13 +5,15 @@ import (
 | 
			
		||||
	"encoding/json"
 | 
			
		||||
	"errors"
 | 
			
		||||
	"fmt"
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
	"io"
 | 
			
		||||
	"net/http"
 | 
			
		||||
	"one-api/common"
 | 
			
		||||
	"one-api/model"
 | 
			
		||||
	"strconv"
 | 
			
		||||
	"sync"
 | 
			
		||||
	"time"
 | 
			
		||||
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
func testChannel(channel *model.Channel, request ChatRequest) (err error, openaiErr *OpenAIError) {
 | 
			
		||||
@@ -42,14 +44,14 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
 | 
			
		||||
	}
 | 
			
		||||
	requestURL := common.ChannelBaseURLs[channel.Type]
 | 
			
		||||
	if channel.Type == common.ChannelTypeAzure {
 | 
			
		||||
		requestURL = fmt.Sprintf("%s/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", channel.GetBaseURL(), request.Model)
 | 
			
		||||
		requestURL = getFullRequestURL(channel.GetBaseURL(), fmt.Sprintf("/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", request.Model), channel.Type)
 | 
			
		||||
	} else {
 | 
			
		||||
		if channel.GetBaseURL() != "" {
 | 
			
		||||
			requestURL = channel.GetBaseURL()
 | 
			
		||||
		if baseURL := channel.GetBaseURL(); len(baseURL) > 0 {
 | 
			
		||||
			requestURL = baseURL
 | 
			
		||||
		}
 | 
			
		||||
		requestURL += "/v1/chat/completions"
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
		requestURL = getFullRequestURL(requestURL, "/v1/chat/completions", channel.Type)
 | 
			
		||||
	}
 | 
			
		||||
	jsonData, err := json.Marshal(request)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return err, nil
 | 
			
		||||
@@ -70,10 +72,14 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
 | 
			
		||||
	}
 | 
			
		||||
	defer resp.Body.Close()
 | 
			
		||||
	var response TextResponse
 | 
			
		||||
	err = json.NewDecoder(resp.Body).Decode(&response)
 | 
			
		||||
	body, err := io.ReadAll(resp.Body)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return err, nil
 | 
			
		||||
	}
 | 
			
		||||
	err = json.Unmarshal(body, &response)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return fmt.Errorf("Error: %s\nResp body: %s", err, body), nil
 | 
			
		||||
	}
 | 
			
		||||
	if response.Usage.CompletionTokens == 0 {
 | 
			
		||||
		return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error
 | 
			
		||||
	}
 | 
			
		||||
 
 | 
			
		||||
@@ -127,8 +127,8 @@ func DeleteChannel(c *gin.Context) {
 | 
			
		||||
	return
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func DeleteManuallyDisabledChannel(c *gin.Context) {
 | 
			
		||||
	rows, err := model.DeleteChannelByStatus(common.ChannelStatusManuallyDisabled)
 | 
			
		||||
func DeleteDisabledChannel(c *gin.Context) {
 | 
			
		||||
	rows, err := model.DeleteDisabledChannel()
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		c.JSON(http.StatusOK, gin.H{
 | 
			
		||||
			"success": false,
 | 
			
		||||
 
 | 
			
		||||
@@ -55,12 +55,21 @@ func init() {
 | 
			
		||||
	// https://platform.openai.com/docs/models/model-endpoint-compatibility
 | 
			
		||||
	openAIModels = []OpenAIModels{
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "dall-e",
 | 
			
		||||
			Id:         "dall-e-2",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "dall-e",
 | 
			
		||||
			Root:       "dall-e-2",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "dall-e-3",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "dall-e-3",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
@@ -72,6 +81,42 @@ func init() {
 | 
			
		||||
			Root:       "whisper-1",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "tts-1",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "tts-1",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "tts-1-1106",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "tts-1-1106",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "tts-1-hd",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "tts-1-hd",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "tts-1-hd-1106",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "tts-1-hd-1106",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "gpt-3.5-turbo",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
@@ -117,6 +162,15 @@ func init() {
 | 
			
		||||
			Root:       "gpt-3.5-turbo-16k-0613",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "gpt-3.5-turbo-1106",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1699593571,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "gpt-3.5-turbo-1106",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "gpt-3.5-turbo-instruct",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
@@ -180,6 +234,24 @@ func init() {
 | 
			
		||||
			Root:       "gpt-4-32k-0613",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "gpt-4-1106-preview",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1699593571,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "gpt-4-1106-preview",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "gpt-4-vision-preview",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1699593571,
 | 
			
		||||
			OwnedBy:    "openai",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "gpt-4-vision-preview",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "text-embedding-ada-002",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
@@ -274,7 +346,7 @@ func init() {
 | 
			
		||||
			Id:         "claude-instant-1",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "anturopic",
 | 
			
		||||
			OwnedBy:    "anthropic",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "claude-instant-1",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
@@ -283,7 +355,7 @@ func init() {
 | 
			
		||||
			Id:         "claude-2",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "anturopic",
 | 
			
		||||
			OwnedBy:    "anthropic",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "claude-2",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
@@ -306,6 +378,15 @@ func init() {
 | 
			
		||||
			Root:       "ERNIE-Bot-turbo",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "ERNIE-Bot-4",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "baidu",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "ERNIE-Bot-4",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "Embedding-V1",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
@@ -324,6 +405,15 @@ func init() {
 | 
			
		||||
			Root:       "PaLM-2",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "chatglm_turbo",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
			Created:    1677649963,
 | 
			
		||||
			OwnedBy:    "zhipu",
 | 
			
		||||
			Permission: permission,
 | 
			
		||||
			Root:       "chatglm_turbo",
 | 
			
		||||
			Parent:     nil,
 | 
			
		||||
		},
 | 
			
		||||
		{
 | 
			
		||||
			Id:         "chatglm_pro",
 | 
			
		||||
			Object:     "model",
 | 
			
		||||
 
 | 
			
		||||
@@ -48,7 +48,7 @@ type AIProxyLibraryStreamResponse struct {
 | 
			
		||||
func requestOpenAI2AIProxyLibrary(request GeneralOpenAIRequest) *AIProxyLibraryRequest {
 | 
			
		||||
	query := ""
 | 
			
		||||
	if len(request.Messages) != 0 {
 | 
			
		||||
		query = request.Messages[len(request.Messages)-1].Content
 | 
			
		||||
		query = request.Messages[len(request.Messages)-1].StringContent()
 | 
			
		||||
	}
 | 
			
		||||
	return &AIProxyLibraryRequest{
 | 
			
		||||
		Model:  request.Model,
 | 
			
		||||
 
 | 
			
		||||
@@ -88,18 +88,18 @@ func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
 | 
			
		||||
		message := request.Messages[i]
 | 
			
		||||
		if message.Role == "system" {
 | 
			
		||||
			messages = append(messages, AliMessage{
 | 
			
		||||
				User: message.Content,
 | 
			
		||||
				User: message.StringContent(),
 | 
			
		||||
				Bot:  "Okay",
 | 
			
		||||
			})
 | 
			
		||||
			continue
 | 
			
		||||
		} else {
 | 
			
		||||
			if i == len(request.Messages)-1 {
 | 
			
		||||
				prompt = message.Content
 | 
			
		||||
				prompt = message.StringContent()
 | 
			
		||||
				break
 | 
			
		||||
			}
 | 
			
		||||
			messages = append(messages, AliMessage{
 | 
			
		||||
				User: message.Content,
 | 
			
		||||
				Bot:  request.Messages[i+1].Content,
 | 
			
		||||
				User: message.StringContent(),
 | 
			
		||||
				Bot:  request.Messages[i+1].StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
			i++
 | 
			
		||||
		}
 | 
			
		||||
 
 | 
			
		||||
@@ -5,13 +5,11 @@ import (
 | 
			
		||||
	"context"
 | 
			
		||||
	"encoding/json"
 | 
			
		||||
	"errors"
 | 
			
		||||
	"fmt"
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
	"io"
 | 
			
		||||
	"net/http"
 | 
			
		||||
	"one-api/common"
 | 
			
		||||
	"one-api/model"
 | 
			
		||||
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 | 
			
		||||
@@ -22,6 +20,22 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 | 
			
		||||
	channelId := c.GetInt("channel_id")
 | 
			
		||||
	userId := c.GetInt("id")
 | 
			
		||||
	group := c.GetString("group")
 | 
			
		||||
	tokenName := c.GetString("token_name")
 | 
			
		||||
 | 
			
		||||
	var ttsRequest TextToSpeechRequest
 | 
			
		||||
	if relayMode == RelayModeAudioSpeech {
 | 
			
		||||
		// Read JSON
 | 
			
		||||
		err := common.UnmarshalBodyReusable(c, &ttsRequest)
 | 
			
		||||
		// Check if JSON is valid
 | 
			
		||||
		if err != nil {
 | 
			
		||||
			return errorWrapper(err, "invalid_json", http.StatusBadRequest)
 | 
			
		||||
		}
 | 
			
		||||
		audioModel = ttsRequest.Model
 | 
			
		||||
		// Check if text is too long 4096
 | 
			
		||||
		if len(ttsRequest.Input) > 4096 {
 | 
			
		||||
			return errorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	preConsumedTokens := common.PreConsumedQuota
 | 
			
		||||
	modelRatio := common.GetModelRatio(audioModel)
 | 
			
		||||
@@ -32,22 +46,32 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
 | 
			
		||||
	}
 | 
			
		||||
	if userQuota-preConsumedQuota < 0 {
 | 
			
		||||
		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
 | 
			
		||||
	}
 | 
			
		||||
	err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
 | 
			
		||||
	}
 | 
			
		||||
	if userQuota > 100*preConsumedQuota {
 | 
			
		||||
		// in this case, we do not pre-consume quota
 | 
			
		||||
		// because the user has enough quota
 | 
			
		||||
		preConsumedQuota = 0
 | 
			
		||||
	}
 | 
			
		||||
	if preConsumedQuota > 0 {
 | 
			
		||||
		err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
 | 
			
		||||
 | 
			
		||||
	quota := 0
 | 
			
		||||
	// Check if user quota is enough
 | 
			
		||||
	if relayMode == RelayModeAudioSpeech {
 | 
			
		||||
		quota = int(float64(len(ttsRequest.Input)) * modelRatio * groupRatio)
 | 
			
		||||
		if quota > userQuota {
 | 
			
		||||
			return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
 | 
			
		||||
		}
 | 
			
		||||
	} else {
 | 
			
		||||
		if userQuota-preConsumedQuota < 0 {
 | 
			
		||||
			return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
 | 
			
		||||
		}
 | 
			
		||||
		err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
 | 
			
		||||
		if err != nil {
 | 
			
		||||
			return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
 | 
			
		||||
			return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
 | 
			
		||||
		}
 | 
			
		||||
		if userQuota > 100*preConsumedQuota {
 | 
			
		||||
			// in this case, we do not pre-consume quota
 | 
			
		||||
			// because the user has enough quota
 | 
			
		||||
			preConsumedQuota = 0
 | 
			
		||||
		}
 | 
			
		||||
		if preConsumedQuota > 0 {
 | 
			
		||||
			err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
 | 
			
		||||
			if err != nil {
 | 
			
		||||
				return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
 | 
			
		||||
			}
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
@@ -66,12 +90,11 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 | 
			
		||||
 | 
			
		||||
	baseURL := common.ChannelBaseURLs[channelType]
 | 
			
		||||
	requestURL := c.Request.URL.String()
 | 
			
		||||
 | 
			
		||||
	if c.GetString("base_url") != "" {
 | 
			
		||||
		baseURL = c.GetString("base_url")
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
 | 
			
		||||
	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
 | 
			
		||||
	requestBody := c.Request.Body
 | 
			
		||||
 | 
			
		||||
	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
 | 
			
		||||
@@ -95,47 +118,32 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 | 
			
		||||
	}
 | 
			
		||||
	var audioResponse AudioResponse
 | 
			
		||||
 | 
			
		||||
	defer func(ctx context.Context) {
 | 
			
		||||
		go func() {
 | 
			
		||||
			quota := countTokenText(audioResponse.Text, audioModel)
 | 
			
		||||
	if relayMode == RelayModeAudioSpeech {
 | 
			
		||||
		defer func(ctx context.Context) {
 | 
			
		||||
			go postConsumeQuota(ctx, tokenId, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
 | 
			
		||||
		}(c.Request.Context())
 | 
			
		||||
	} else {
 | 
			
		||||
		responseBody, err := io.ReadAll(resp.Body)
 | 
			
		||||
		if err != nil {
 | 
			
		||||
			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
 | 
			
		||||
		}
 | 
			
		||||
		err = resp.Body.Close()
 | 
			
		||||
		if err != nil {
 | 
			
		||||
			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
 | 
			
		||||
		}
 | 
			
		||||
		var whisperResponse WhisperResponse
 | 
			
		||||
		err = json.Unmarshal(responseBody, &whisperResponse)
 | 
			
		||||
		if err != nil {
 | 
			
		||||
			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
 | 
			
		||||
		}
 | 
			
		||||
		defer func(ctx context.Context) {
 | 
			
		||||
			quota := countTokenText(whisperResponse.Text, audioModel)
 | 
			
		||||
			quotaDelta := quota - preConsumedQuota
 | 
			
		||||
			err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
 | 
			
		||||
			if err != nil {
 | 
			
		||||
				common.SysError("error consuming token remain quota: " + err.Error())
 | 
			
		||||
			}
 | 
			
		||||
			err = model.CacheUpdateUserQuota(userId)
 | 
			
		||||
			if err != nil {
 | 
			
		||||
				common.SysError("error update user quota cache: " + err.Error())
 | 
			
		||||
			}
 | 
			
		||||
			if quota != 0 {
 | 
			
		||||
				tokenName := c.GetString("token_name")
 | 
			
		||||
				logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
 | 
			
		||||
				model.RecordConsumeLog(ctx, userId, channelId, 0, 0, audioModel, tokenName, quota, logContent)
 | 
			
		||||
				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
 | 
			
		||||
				channelId := c.GetInt("channel_id")
 | 
			
		||||
				model.UpdateChannelUsedQuota(channelId, quota)
 | 
			
		||||
			}
 | 
			
		||||
		}()
 | 
			
		||||
	}(c.Request.Context())
 | 
			
		||||
 | 
			
		||||
	responseBody, err := io.ReadAll(resp.Body)
 | 
			
		||||
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
 | 
			
		||||
			go postConsumeQuota(ctx, tokenId, quotaDelta, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
 | 
			
		||||
		}(c.Request.Context())
 | 
			
		||||
		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
 | 
			
		||||
	}
 | 
			
		||||
	err = resp.Body.Close()
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
 | 
			
		||||
	}
 | 
			
		||||
	err = json.Unmarshal(responseBody, &audioResponse)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
 | 
			
		||||
 | 
			
		||||
	for k, v := range resp.Header {
 | 
			
		||||
		c.Writer.Header().Set(k, v[0])
 | 
			
		||||
	}
 | 
			
		||||
 
 | 
			
		||||
@@ -89,7 +89,7 @@ func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
 | 
			
		||||
		if message.Role == "system" {
 | 
			
		||||
			messages = append(messages, BaiduMessage{
 | 
			
		||||
				Role:    "user",
 | 
			
		||||
				Content: message.Content,
 | 
			
		||||
				Content: message.StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
			messages = append(messages, BaiduMessage{
 | 
			
		||||
				Role:    "assistant",
 | 
			
		||||
@@ -98,7 +98,7 @@ func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
 | 
			
		||||
		} else {
 | 
			
		||||
			messages = append(messages, BaiduMessage{
 | 
			
		||||
				Role:    message.Role,
 | 
			
		||||
				Content: message.Content,
 | 
			
		||||
				Content: message.StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 
 | 
			
		||||
@@ -14,8 +14,20 @@ import (
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
func isWithinRange(element string, value int) bool {
 | 
			
		||||
	if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
 | 
			
		||||
		return false
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	min := common.DalleGenerationImageAmounts[element][0]
 | 
			
		||||
	max := common.DalleGenerationImageAmounts[element][1]
 | 
			
		||||
 | 
			
		||||
	return value >= min && value <= max
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 | 
			
		||||
	imageModel := "dall-e"
 | 
			
		||||
	imageModel := "dall-e-2"
 | 
			
		||||
	imageSize := "1024x1024"
 | 
			
		||||
 | 
			
		||||
	tokenId := c.GetInt("token_id")
 | 
			
		||||
	channelType := c.GetInt("channel")
 | 
			
		||||
@@ -32,19 +44,44 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	// Size validation
 | 
			
		||||
	if imageRequest.Size != "" {
 | 
			
		||||
		imageSize = imageRequest.Size
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	// Model validation
 | 
			
		||||
	if imageRequest.Model != "" {
 | 
			
		||||
		imageModel = imageRequest.Model
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	imageCostRatio, hasValidSize := common.DalleSizeRatios[imageModel][imageSize]
 | 
			
		||||
 | 
			
		||||
	// Check if model is supported
 | 
			
		||||
	if hasValidSize {
 | 
			
		||||
		if imageRequest.Quality == "hd" && imageModel == "dall-e-3" {
 | 
			
		||||
			if imageSize == "1024x1024" {
 | 
			
		||||
				imageCostRatio *= 2
 | 
			
		||||
			} else {
 | 
			
		||||
				imageCostRatio *= 1.5
 | 
			
		||||
			}
 | 
			
		||||
		}
 | 
			
		||||
	} else {
 | 
			
		||||
		return errorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	// Prompt validation
 | 
			
		||||
	if imageRequest.Prompt == "" {
 | 
			
		||||
		return errorWrapper(errors.New("prompt is required"), "required_field_missing", http.StatusBadRequest)
 | 
			
		||||
		return errorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	// Not "256x256", "512x512", or "1024x1024"
 | 
			
		||||
	if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
 | 
			
		||||
		return errorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024"), "invalid_field_value", http.StatusBadRequest)
 | 
			
		||||
	// Check prompt length
 | 
			
		||||
	if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
 | 
			
		||||
		return errorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	// N should between 1 and 10
 | 
			
		||||
	if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
 | 
			
		||||
		return errorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
 | 
			
		||||
	// Number of generated images validation
 | 
			
		||||
	if isWithinRange(imageModel, imageRequest.N) == false {
 | 
			
		||||
		return errorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	// map model name
 | 
			
		||||
@@ -61,16 +98,12 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 | 
			
		||||
			isModelMapped = true
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	baseURL := common.ChannelBaseURLs[channelType]
 | 
			
		||||
	requestURL := c.Request.URL.String()
 | 
			
		||||
 | 
			
		||||
	if c.GetString("base_url") != "" {
 | 
			
		||||
		baseURL = c.GetString("base_url")
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
 | 
			
		||||
 | 
			
		||||
	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
 | 
			
		||||
	var requestBody io.Reader
 | 
			
		||||
	if isModelMapped {
 | 
			
		||||
		jsonStr, err := json.Marshal(imageRequest)
 | 
			
		||||
@@ -87,16 +120,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 | 
			
		||||
	ratio := modelRatio * groupRatio
 | 
			
		||||
	userQuota, err := model.CacheGetUserQuota(userId)
 | 
			
		||||
 | 
			
		||||
	sizeRatio := 1.0
 | 
			
		||||
	// Size
 | 
			
		||||
	if imageRequest.Size == "256x256" {
 | 
			
		||||
		sizeRatio = 1
 | 
			
		||||
	} else if imageRequest.Size == "512x512" {
 | 
			
		||||
		sizeRatio = 1.125
 | 
			
		||||
	} else if imageRequest.Size == "1024x1024" {
 | 
			
		||||
		sizeRatio = 1.25
 | 
			
		||||
	}
 | 
			
		||||
	quota := int(ratio*sizeRatio*1000) * imageRequest.N
 | 
			
		||||
	quota := int(ratio*imageCostRatio*1000) * imageRequest.N
 | 
			
		||||
 | 
			
		||||
	if consumeQuota && userQuota-quota < 0 {
 | 
			
		||||
		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
 | 
			
		||||
 
 | 
			
		||||
@@ -132,7 +132,7 @@ func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promp
 | 
			
		||||
	if textResponse.Usage.TotalTokens == 0 {
 | 
			
		||||
		completionTokens := 0
 | 
			
		||||
		for _, choice := range textResponse.Choices {
 | 
			
		||||
			completionTokens += countTokenText(choice.Message.Content, model)
 | 
			
		||||
			completionTokens += countTokenText(choice.Message.StringContent(), model)
 | 
			
		||||
		}
 | 
			
		||||
		textResponse.Usage = Usage{
 | 
			
		||||
			PromptTokens:     promptTokens,
 | 
			
		||||
 
 | 
			
		||||
@@ -59,7 +59,7 @@ func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
 | 
			
		||||
	}
 | 
			
		||||
	for _, message := range textRequest.Messages {
 | 
			
		||||
		palmMessage := PaLMChatMessage{
 | 
			
		||||
			Content: message.Content,
 | 
			
		||||
			Content: message.StringContent(),
 | 
			
		||||
		}
 | 
			
		||||
		if message.Role == "user" {
 | 
			
		||||
			palmMessage.Author = "0"
 | 
			
		||||
 
 | 
			
		||||
@@ -84,7 +84,7 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
 | 
			
		||||
		if message.Role == "system" {
 | 
			
		||||
			messages = append(messages, TencentMessage{
 | 
			
		||||
				Role:    "user",
 | 
			
		||||
				Content: message.Content,
 | 
			
		||||
				Content: message.StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
			messages = append(messages, TencentMessage{
 | 
			
		||||
				Role:    "assistant",
 | 
			
		||||
@@ -93,7 +93,7 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
 | 
			
		||||
			continue
 | 
			
		||||
		}
 | 
			
		||||
		messages = append(messages, TencentMessage{
 | 
			
		||||
			Content: message.Content,
 | 
			
		||||
			Content: message.StringContent(),
 | 
			
		||||
			Role:    message.Role,
 | 
			
		||||
		})
 | 
			
		||||
	}
 | 
			
		||||
 
 | 
			
		||||
@@ -6,13 +6,15 @@ import (
 | 
			
		||||
	"encoding/json"
 | 
			
		||||
	"errors"
 | 
			
		||||
	"fmt"
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
	"io"
 | 
			
		||||
	"math"
 | 
			
		||||
	"net/http"
 | 
			
		||||
	"one-api/common"
 | 
			
		||||
	"one-api/model"
 | 
			
		||||
	"strings"
 | 
			
		||||
	"time"
 | 
			
		||||
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
const (
 | 
			
		||||
@@ -31,7 +33,14 @@ var httpClient *http.Client
 | 
			
		||||
var impatientHTTPClient *http.Client
 | 
			
		||||
 | 
			
		||||
func init() {
 | 
			
		||||
	httpClient = &http.Client{}
 | 
			
		||||
	if common.RelayTimeout == 0 {
 | 
			
		||||
		httpClient = &http.Client{}
 | 
			
		||||
	} else {
 | 
			
		||||
		httpClient = &http.Client{
 | 
			
		||||
			Timeout: time.Duration(common.RelayTimeout) * time.Second,
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	impatientHTTPClient = &http.Client{
 | 
			
		||||
		Timeout: 5 * time.Second,
 | 
			
		||||
	}
 | 
			
		||||
@@ -118,7 +127,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 | 
			
		||||
	if c.GetString("base_url") != "" {
 | 
			
		||||
		baseURL = c.GetString("base_url")
 | 
			
		||||
	}
 | 
			
		||||
	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
 | 
			
		||||
	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
 | 
			
		||||
	switch apiType {
 | 
			
		||||
	case APITypeOpenAI:
 | 
			
		||||
		if channelType == common.ChannelTypeAzure {
 | 
			
		||||
@@ -138,7 +147,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 | 
			
		||||
			model_ = strings.TrimSuffix(model_, "-0301")
 | 
			
		||||
			model_ = strings.TrimSuffix(model_, "-0314")
 | 
			
		||||
			model_ = strings.TrimSuffix(model_, "-0613")
 | 
			
		||||
			fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task)
 | 
			
		||||
 | 
			
		||||
			requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
 | 
			
		||||
			fullRequestURL = getFullRequestURL(baseURL, requestURL, channelType)
 | 
			
		||||
		}
 | 
			
		||||
	case APITypeClaude:
 | 
			
		||||
		fullRequestURL = "https://api.anthropic.com/v1/complete"
 | 
			
		||||
@@ -151,6 +162,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 | 
			
		||||
			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions"
 | 
			
		||||
		case "ERNIE-Bot-turbo":
 | 
			
		||||
			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant"
 | 
			
		||||
		case "ERNIE-Bot-4":
 | 
			
		||||
			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro"
 | 
			
		||||
		case "BLOOMZ-7B":
 | 
			
		||||
			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/bloomz_7b1"
 | 
			
		||||
		case "Embedding-V1":
 | 
			
		||||
@@ -356,11 +369,16 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 | 
			
		||||
			}
 | 
			
		||||
		case APITypeTencent:
 | 
			
		||||
			req.Header.Set("Authorization", apiKey)
 | 
			
		||||
		case APITypePaLM:
 | 
			
		||||
			// do not set Authorization header
 | 
			
		||||
		default:
 | 
			
		||||
			req.Header.Set("Authorization", "Bearer "+apiKey)
 | 
			
		||||
		}
 | 
			
		||||
		req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
 | 
			
		||||
		req.Header.Set("Accept", c.Request.Header.Get("Accept"))
 | 
			
		||||
		if isStream && c.Request.Header.Get("Accept") == "" {
 | 
			
		||||
			req.Header.Set("Accept", "text/event-stream")
 | 
			
		||||
		}
 | 
			
		||||
		//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
 | 
			
		||||
		resp, err = httpClient.Do(req)
 | 
			
		||||
		if err != nil {
 | 
			
		||||
@@ -401,9 +419,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 | 
			
		||||
				completionRatio := common.GetCompletionRatio(textRequest.Model)
 | 
			
		||||
				promptTokens = textResponse.Usage.PromptTokens
 | 
			
		||||
				completionTokens = textResponse.Usage.CompletionTokens
 | 
			
		||||
 | 
			
		||||
				quota = promptTokens + int(float64(completionTokens)*completionRatio)
 | 
			
		||||
				quota = int(float64(quota) * ratio)
 | 
			
		||||
				quota = int(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))
 | 
			
		||||
				if ratio != 0 && quota <= 0 {
 | 
			
		||||
					quota = 1
 | 
			
		||||
				}
 | 
			
		||||
 
 | 
			
		||||
@@ -1,15 +1,18 @@
 | 
			
		||||
package controller
 | 
			
		||||
 | 
			
		||||
import (
 | 
			
		||||
	"context"
 | 
			
		||||
	"encoding/json"
 | 
			
		||||
	"fmt"
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
	"github.com/pkoukk/tiktoken-go"
 | 
			
		||||
	"io"
 | 
			
		||||
	"net/http"
 | 
			
		||||
	"one-api/common"
 | 
			
		||||
	"one-api/model"
 | 
			
		||||
	"strconv"
 | 
			
		||||
	"strings"
 | 
			
		||||
 | 
			
		||||
	"github.com/gin-gonic/gin"
 | 
			
		||||
	"github.com/pkoukk/tiktoken-go"
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
var stopFinishReason = "stop"
 | 
			
		||||
@@ -84,7 +87,7 @@ func countTokenMessages(messages []Message, model string) int {
 | 
			
		||||
	tokenNum := 0
 | 
			
		||||
	for _, message := range messages {
 | 
			
		||||
		tokenNum += tokensPerMessage
 | 
			
		||||
		tokenNum += getTokenNum(tokenEncoder, message.Content)
 | 
			
		||||
		tokenNum += getTokenNum(tokenEncoder, message.StringContent())
 | 
			
		||||
		tokenNum += getTokenNum(tokenEncoder, message.Role)
 | 
			
		||||
		if message.Name != nil {
 | 
			
		||||
			tokenNum += tokensPerName
 | 
			
		||||
@@ -176,3 +179,35 @@ func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIEr
 | 
			
		||||
	openAIErrorWithStatusCode.OpenAIError = textResponse.Error
 | 
			
		||||
	return
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func getFullRequestURL(baseURL string, requestURL string, channelType int) string {
 | 
			
		||||
	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
 | 
			
		||||
 | 
			
		||||
	if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
 | 
			
		||||
		switch channelType {
 | 
			
		||||
		case common.ChannelTypeOpenAI:
 | 
			
		||||
			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/v1"))
 | 
			
		||||
		case common.ChannelTypeAzure:
 | 
			
		||||
			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/openai/deployments"))
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	return fullRequestURL
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func postConsumeQuota(ctx context.Context, tokenId int, quota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
 | 
			
		||||
	err := model.PostConsumeTokenQuota(tokenId, quota)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		common.SysError("error consuming token remain quota: " + err.Error())
 | 
			
		||||
	}
 | 
			
		||||
	err = model.CacheUpdateUserQuota(userId)
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		common.SysError("error update user quota cache: " + err.Error())
 | 
			
		||||
	}
 | 
			
		||||
	if quota != 0 {
 | 
			
		||||
		logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
 | 
			
		||||
		model.RecordConsumeLog(ctx, userId, channelId, 0, 0, modelName, tokenName, quota, logContent)
 | 
			
		||||
		model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
 | 
			
		||||
		model.UpdateChannelUsedQuota(channelId, quota)
 | 
			
		||||
	}
 | 
			
		||||
}
 | 
			
		||||
 
 | 
			
		||||
@@ -81,7 +81,7 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, doma
 | 
			
		||||
		if message.Role == "system" {
 | 
			
		||||
			messages = append(messages, XunfeiMessage{
 | 
			
		||||
				Role:    "user",
 | 
			
		||||
				Content: message.Content,
 | 
			
		||||
				Content: message.StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
			messages = append(messages, XunfeiMessage{
 | 
			
		||||
				Role:    "assistant",
 | 
			
		||||
@@ -90,7 +90,7 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, doma
 | 
			
		||||
		} else {
 | 
			
		||||
			messages = append(messages, XunfeiMessage{
 | 
			
		||||
				Role:    message.Role,
 | 
			
		||||
				Content: message.Content,
 | 
			
		||||
				Content: message.StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
@@ -220,6 +220,9 @@ func xunfeiHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId strin
 | 
			
		||||
	for !stop {
 | 
			
		||||
		select {
 | 
			
		||||
		case xunfeiResponse = <-dataChan:
 | 
			
		||||
			if len(xunfeiResponse.Payload.Choices.Text) == 0 {
 | 
			
		||||
				continue
 | 
			
		||||
			}
 | 
			
		||||
			content += xunfeiResponse.Payload.Choices.Text[0].Content
 | 
			
		||||
			usage.PromptTokens += xunfeiResponse.Payload.Usage.Text.PromptTokens
 | 
			
		||||
			usage.CompletionTokens += xunfeiResponse.Payload.Usage.Text.CompletionTokens
 | 
			
		||||
@@ -295,8 +298,8 @@ func getXunfeiAuthUrl(c *gin.Context, apiKey string, apiSecret string) (string,
 | 
			
		||||
		common.SysLog("api_version not found, use default: " + apiVersion)
 | 
			
		||||
	}
 | 
			
		||||
	domain := "general"
 | 
			
		||||
	if apiVersion == "v2.1" {
 | 
			
		||||
		domain = "generalv2"
 | 
			
		||||
	if apiVersion != "v1.1" {
 | 
			
		||||
		domain += strings.Split(apiVersion, ".")[0]
 | 
			
		||||
	}
 | 
			
		||||
	authUrl := buildXunfeiAuthUrl(fmt.Sprintf("wss://spark-api.xf-yun.com/%s/chat", apiVersion), apiKey, apiSecret)
 | 
			
		||||
	return domain, authUrl
 | 
			
		||||
 
 | 
			
		||||
@@ -114,7 +114,7 @@ func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
 | 
			
		||||
		if message.Role == "system" {
 | 
			
		||||
			messages = append(messages, ZhipuMessage{
 | 
			
		||||
				Role:    "system",
 | 
			
		||||
				Content: message.Content,
 | 
			
		||||
				Content: message.StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
			messages = append(messages, ZhipuMessage{
 | 
			
		||||
				Role:    "user",
 | 
			
		||||
@@ -123,7 +123,7 @@ func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
 | 
			
		||||
		} else {
 | 
			
		||||
			messages = append(messages, ZhipuMessage{
 | 
			
		||||
				Role:    message.Role,
 | 
			
		||||
				Content: message.Content,
 | 
			
		||||
				Content: message.StringContent(),
 | 
			
		||||
			})
 | 
			
		||||
		}
 | 
			
		||||
	}
 | 
			
		||||
 
 | 
			
		||||
@@ -12,10 +12,49 @@ import (
 | 
			
		||||
 | 
			
		||||
type Message struct {
 | 
			
		||||
	Role    string  `json:"role"`
 | 
			
		||||
	Content string  `json:"content"`
 | 
			
		||||
	Content any     `json:"content"`
 | 
			
		||||
	Name    *string `json:"name,omitempty"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
type ImageURL struct {
 | 
			
		||||
	Url    string `json:"url,omitempty"`
 | 
			
		||||
	Detail string `json:"detail,omitempty"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
type TextContent struct {
 | 
			
		||||
	Type string `json:"type,omitempty"`
 | 
			
		||||
	Text string `json:"text,omitempty"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
type ImageContent struct {
 | 
			
		||||
	Type     string    `json:"type,omitempty"`
 | 
			
		||||
	ImageURL *ImageURL `json:"image_url,omitempty"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func (m Message) StringContent() string {
 | 
			
		||||
	content, ok := m.Content.(string)
 | 
			
		||||
	if ok {
 | 
			
		||||
		return content
 | 
			
		||||
	}
 | 
			
		||||
	contentList, ok := m.Content.([]any)
 | 
			
		||||
	if ok {
 | 
			
		||||
		var contentStr string
 | 
			
		||||
		for _, contentItem := range contentList {
 | 
			
		||||
			contentMap, ok := contentItem.(map[string]any)
 | 
			
		||||
			if !ok {
 | 
			
		||||
				continue
 | 
			
		||||
			}
 | 
			
		||||
			if contentMap["type"] == "text" {
 | 
			
		||||
				if subStr, ok := contentMap["text"].(string); ok {
 | 
			
		||||
					contentStr += subStr
 | 
			
		||||
				}
 | 
			
		||||
			}
 | 
			
		||||
		}
 | 
			
		||||
		return contentStr
 | 
			
		||||
	}
 | 
			
		||||
	return ""
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
const (
 | 
			
		||||
	RelayModeUnknown = iota
 | 
			
		||||
	RelayModeChatCompletions
 | 
			
		||||
@@ -24,24 +63,37 @@ const (
 | 
			
		||||
	RelayModeModerations
 | 
			
		||||
	RelayModeImagesGenerations
 | 
			
		||||
	RelayModeEdits
 | 
			
		||||
	RelayModeAudio
 | 
			
		||||
	RelayModeAudioSpeech
 | 
			
		||||
	RelayModeAudioTranscription
 | 
			
		||||
	RelayModeAudioTranslation
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
// https://platform.openai.com/docs/api-reference/chat
 | 
			
		||||
 | 
			
		||||
type ResponseFormat struct {
 | 
			
		||||
	Type string `json:"type,omitempty"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
type GeneralOpenAIRequest struct {
 | 
			
		||||
	Model       string    `json:"model,omitempty"`
 | 
			
		||||
	Messages    []Message `json:"messages,omitempty"`
 | 
			
		||||
	Prompt      any       `json:"prompt,omitempty"`
 | 
			
		||||
	Stream      bool      `json:"stream,omitempty"`
 | 
			
		||||
	MaxTokens   int       `json:"max_tokens,omitempty"`
 | 
			
		||||
	Temperature float64   `json:"temperature,omitempty"`
 | 
			
		||||
	TopP        float64   `json:"top_p,omitempty"`
 | 
			
		||||
	N           int       `json:"n,omitempty"`
 | 
			
		||||
	Input       any       `json:"input,omitempty"`
 | 
			
		||||
	Instruction string    `json:"instruction,omitempty"`
 | 
			
		||||
	Size        string    `json:"size,omitempty"`
 | 
			
		||||
	Functions   any       `json:"functions,omitempty"`
 | 
			
		||||
	Model            string          `json:"model,omitempty"`
 | 
			
		||||
	Messages         []Message       `json:"messages,omitempty"`
 | 
			
		||||
	Prompt           any             `json:"prompt,omitempty"`
 | 
			
		||||
	Stream           bool            `json:"stream,omitempty"`
 | 
			
		||||
	MaxTokens        int             `json:"max_tokens,omitempty"`
 | 
			
		||||
	Temperature      float64         `json:"temperature,omitempty"`
 | 
			
		||||
	TopP             float64         `json:"top_p,omitempty"`
 | 
			
		||||
	N                int             `json:"n,omitempty"`
 | 
			
		||||
	Input            any             `json:"input,omitempty"`
 | 
			
		||||
	Instruction      string          `json:"instruction,omitempty"`
 | 
			
		||||
	Size             string          `json:"size,omitempty"`
 | 
			
		||||
	Functions        any             `json:"functions,omitempty"`
 | 
			
		||||
	FrequencyPenalty float64         `json:"frequency_penalty,omitempty"`
 | 
			
		||||
	PresencePenalty  float64         `json:"presence_penalty,omitempty"`
 | 
			
		||||
	ResponseFormat   *ResponseFormat `json:"response_format,omitempty"`
 | 
			
		||||
	Seed             float64         `json:"seed,omitempty"`
 | 
			
		||||
	Tools            any             `json:"tools,omitempty"`
 | 
			
		||||
	ToolChoice       any             `json:"tool_choice,omitempty"`
 | 
			
		||||
	User             string          `json:"user,omitempty"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func (r GeneralOpenAIRequest) ParseInput() []string {
 | 
			
		||||
@@ -77,16 +129,30 @@ type TextRequest struct {
 | 
			
		||||
	//Stream   bool      `json:"stream"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
// ImageRequest docs: https://platform.openai.com/docs/api-reference/images/create
 | 
			
		||||
type ImageRequest struct {
 | 
			
		||||
	Prompt string `json:"prompt"`
 | 
			
		||||
	N      int    `json:"n"`
 | 
			
		||||
	Size   string `json:"size"`
 | 
			
		||||
	Model          string `json:"model"`
 | 
			
		||||
	Prompt         string `json:"prompt" binding:"required"`
 | 
			
		||||
	N              int    `json:"n"`
 | 
			
		||||
	Size           string `json:"size"`
 | 
			
		||||
	Quality        string `json:"quality"`
 | 
			
		||||
	ResponseFormat string `json:"response_format"`
 | 
			
		||||
	Style          string `json:"style"`
 | 
			
		||||
	User           string `json:"user"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
type AudioResponse struct {
 | 
			
		||||
type WhisperResponse struct {
 | 
			
		||||
	Text string `json:"text,omitempty"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
type TextToSpeechRequest struct {
 | 
			
		||||
	Model          string  `json:"model" binding:"required"`
 | 
			
		||||
	Input          string  `json:"input" binding:"required"`
 | 
			
		||||
	Voice          string  `json:"voice" binding:"required"`
 | 
			
		||||
	Speed          float64 `json:"speed"`
 | 
			
		||||
	ResponseFormat string  `json:"response_format"`
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
type Usage struct {
 | 
			
		||||
	PromptTokens     int `json:"prompt_tokens"`
 | 
			
		||||
	CompletionTokens int `json:"completion_tokens"`
 | 
			
		||||
@@ -183,14 +249,22 @@ func Relay(c *gin.Context) {
 | 
			
		||||
		relayMode = RelayModeImagesGenerations
 | 
			
		||||
	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/edits") {
 | 
			
		||||
		relayMode = RelayModeEdits
 | 
			
		||||
	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
 | 
			
		||||
		relayMode = RelayModeAudio
 | 
			
		||||
	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/speech") {
 | 
			
		||||
		relayMode = RelayModeAudioSpeech
 | 
			
		||||
	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
 | 
			
		||||
		relayMode = RelayModeAudioTranscription
 | 
			
		||||
	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
 | 
			
		||||
		relayMode = RelayModeAudioTranslation
 | 
			
		||||
	}
 | 
			
		||||
	var err *OpenAIErrorWithStatusCode
 | 
			
		||||
	switch relayMode {
 | 
			
		||||
	case RelayModeImagesGenerations:
 | 
			
		||||
		err = relayImageHelper(c, relayMode)
 | 
			
		||||
	case RelayModeAudio:
 | 
			
		||||
	case RelayModeAudioSpeech:
 | 
			
		||||
		fallthrough
 | 
			
		||||
	case RelayModeAudioTranslation:
 | 
			
		||||
		fallthrough
 | 
			
		||||
	case RelayModeAudioTranscription:
 | 
			
		||||
		err = relayAudioHelper(c, relayMode)
 | 
			
		||||
	default:
 | 
			
		||||
		err = relayTextHelper(c, relayMode)
 | 
			
		||||
 
 | 
			
		||||
@@ -9,21 +9,21 @@ services:
 | 
			
		||||
    ports:
 | 
			
		||||
      - "3000:3000"
 | 
			
		||||
    volumes:
 | 
			
		||||
      - ./data:/data
 | 
			
		||||
      - ./data/oneapi:/data
 | 
			
		||||
      - ./logs:/app/logs
 | 
			
		||||
    environment:
 | 
			
		||||
      - SQL_DSN=root:123456@tcp(host.docker.internal:3306)/one-api  # 修改此行,或注释掉以使用 SQLite 作为数据库
 | 
			
		||||
      - SQL_DSN=oneapi:123456@tcp(db:3306)/one-api  # 修改此行,或注释掉以使用 SQLite 作为数据库
 | 
			
		||||
      - REDIS_CONN_STRING=redis://redis
 | 
			
		||||
      - SESSION_SECRET=random_string  # 修改为随机字符串
 | 
			
		||||
      - TZ=Asia/Shanghai
 | 
			
		||||
#      - NODE_TYPE=slave  # 多机部署时从节点取消注释该行
 | 
			
		||||
#      - SYNC_FREQUENCY=60  # 需要定期从数据库加载数据时取消注释该行
 | 
			
		||||
#      - FRONTEND_BASE_URL=https://openai.justsong.cn  # 多机部署时从节点取消注释该行
 | 
			
		||||
 | 
			
		||||
    depends_on:
 | 
			
		||||
      - redis
 | 
			
		||||
      - db
 | 
			
		||||
    healthcheck:
 | 
			
		||||
      test: [ "CMD-SHELL", "curl -s http://localhost:3000/api/status | grep -o '\"success\":\\s*true' | awk '{print $2}' | grep 'true'" ]
 | 
			
		||||
      test: [ "CMD-SHELL", "wget -q -O - http://localhost:3000/api/status | grep -o '\"success\":\\s*true' | awk -F: '{print $2}'" ]
 | 
			
		||||
      interval: 30s
 | 
			
		||||
      timeout: 10s
 | 
			
		||||
      retries: 3
 | 
			
		||||
@@ -32,3 +32,18 @@ services:
 | 
			
		||||
    image: redis:latest
 | 
			
		||||
    container_name: redis
 | 
			
		||||
    restart: always
 | 
			
		||||
 | 
			
		||||
  db:
 | 
			
		||||
    image: mysql:8.2.0
 | 
			
		||||
    restart: always
 | 
			
		||||
    container_name: mysql
 | 
			
		||||
    volumes:
 | 
			
		||||
      - ./data/mysql:/var/lib/mysql  # 挂载目录,持久化存储
 | 
			
		||||
    ports:
 | 
			
		||||
      - '3306:3306'
 | 
			
		||||
    environment:
 | 
			
		||||
      TZ: Asia/Shanghai   # 设置时区
 | 
			
		||||
      MYSQL_ROOT_PASSWORD: 'OneAPI@justsong' # 设置 root 用户的密码
 | 
			
		||||
      MYSQL_USER: oneapi   # 创建专用用户
 | 
			
		||||
      MYSQL_PASSWORD: '123456'    # 设置专用用户密码
 | 
			
		||||
      MYSQL_DATABASE: one-api   # 自动创建数据库
 | 
			
		||||
@@ -40,10 +40,7 @@ func Distribute() func(c *gin.Context) {
 | 
			
		||||
		} else {
 | 
			
		||||
			// Select a channel for the user
 | 
			
		||||
			var modelRequest ModelRequest
 | 
			
		||||
			var err error
 | 
			
		||||
			if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
 | 
			
		||||
				err = common.UnmarshalBodyReusable(c, &modelRequest)
 | 
			
		||||
			}
 | 
			
		||||
			err := common.UnmarshalBodyReusable(c, &modelRequest)
 | 
			
		||||
			if err != nil {
 | 
			
		||||
				abortWithMessage(c, http.StatusBadRequest, "无效的请求")
 | 
			
		||||
				return
 | 
			
		||||
@@ -60,10 +57,10 @@ func Distribute() func(c *gin.Context) {
 | 
			
		||||
			}
 | 
			
		||||
			if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
 | 
			
		||||
				if modelRequest.Model == "" {
 | 
			
		||||
					modelRequest.Model = "dall-e"
 | 
			
		||||
					modelRequest.Model = "dall-e-2"
 | 
			
		||||
				}
 | 
			
		||||
			}
 | 
			
		||||
			if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
 | 
			
		||||
			if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") || strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
 | 
			
		||||
				if modelRequest.Model == "" {
 | 
			
		||||
					modelRequest.Model = "whisper-1"
 | 
			
		||||
				}
 | 
			
		||||
 
 | 
			
		||||
@@ -15,10 +15,17 @@ type Ability struct {
 | 
			
		||||
 | 
			
		||||
func GetRandomSatisfiedChannel(group string, model string) (*Channel, error) {
 | 
			
		||||
	ability := Ability{}
 | 
			
		||||
	groupCol := "`group`"
 | 
			
		||||
	trueVal := "1"
 | 
			
		||||
	if common.UsingPostgreSQL {
 | 
			
		||||
		groupCol = `"group"`
 | 
			
		||||
		trueVal = "true"
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	var err error = nil
 | 
			
		||||
	maxPrioritySubQuery := DB.Model(&Ability{}).Select("MAX(priority)").Where("`group` = ? and model = ? and enabled = 1", group, model)
 | 
			
		||||
	channelQuery := DB.Where("`group` = ? and model = ? and enabled = 1 and priority = (?)", group, model, maxPrioritySubQuery)
 | 
			
		||||
	if common.UsingSQLite {
 | 
			
		||||
	maxPrioritySubQuery := DB.Model(&Ability{}).Select("MAX(priority)").Where(groupCol+" = ? and model = ? and enabled = "+trueVal, group, model)
 | 
			
		||||
	channelQuery := DB.Where(groupCol+" = ? and model = ? and enabled = "+trueVal+" and priority = (?)", group, model, maxPrioritySubQuery)
 | 
			
		||||
	if common.UsingSQLite || common.UsingPostgreSQL {
 | 
			
		||||
		err = channelQuery.Order("RANDOM()").First(&ability).Error
 | 
			
		||||
	} else {
 | 
			
		||||
		err = channelQuery.Order("RAND()").First(&ability).Error
 | 
			
		||||
 
 | 
			
		||||
@@ -21,14 +21,18 @@ var (
 | 
			
		||||
)
 | 
			
		||||
 | 
			
		||||
func CacheGetTokenByKey(key string) (*Token, error) {
 | 
			
		||||
	keyCol := "`key`"
 | 
			
		||||
	if common.UsingPostgreSQL {
 | 
			
		||||
		keyCol = `"key"`
 | 
			
		||||
	}
 | 
			
		||||
	var token Token
 | 
			
		||||
	if !common.RedisEnabled {
 | 
			
		||||
		err := DB.Where("`key` = ?", key).First(&token).Error
 | 
			
		||||
		err := DB.Where(keyCol+" = ?", key).First(&token).Error
 | 
			
		||||
		return &token, err
 | 
			
		||||
	}
 | 
			
		||||
	tokenObjectString, err := common.RedisGet(fmt.Sprintf("token:%s", key))
 | 
			
		||||
	if err != nil {
 | 
			
		||||
		err := DB.Where("`key` = ?", key).First(&token).Error
 | 
			
		||||
		err := DB.Where(keyCol+" = ?", key).First(&token).Error
 | 
			
		||||
		if err != nil {
 | 
			
		||||
			return nil, err
 | 
			
		||||
		}
 | 
			
		||||
 
 | 
			
		||||
@@ -38,7 +38,11 @@ func GetAllChannels(startIdx int, num int, selectAll bool) ([]*Channel, error) {
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func SearchChannels(keyword string) (channels []*Channel, err error) {
 | 
			
		||||
	err = DB.Omit("key").Where("id = ? or name LIKE ? or `key` = ?", keyword, keyword+"%", keyword).Find(&channels).Error
 | 
			
		||||
	keyCol := "`key`"
 | 
			
		||||
	if common.UsingPostgreSQL {
 | 
			
		||||
		keyCol = `"key"`
 | 
			
		||||
	}
 | 
			
		||||
	err = DB.Omit("key").Where("id = ? or name LIKE ? or "+keyCol+" = ?", common.String2Int(keyword), keyword+"%", keyword).Find(&channels).Error
 | 
			
		||||
	return channels, err
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
@@ -53,17 +57,6 @@ func GetChannelById(id int, selectAll bool) (*Channel, error) {
 | 
			
		||||
	return &channel, err
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func GetRandomChannel() (*Channel, error) {
 | 
			
		||||
	channel := Channel{}
 | 
			
		||||
	var err error = nil
 | 
			
		||||
	if common.UsingSQLite {
 | 
			
		||||
		err = DB.Where("status = ? and `group` = ?", common.ChannelStatusEnabled, "default").Order("RANDOM()").Limit(1).First(&channel).Error
 | 
			
		||||
	} else {
 | 
			
		||||
		err = DB.Where("status = ? and `group` = ?", common.ChannelStatusEnabled, "default").Order("RAND()").Limit(1).First(&channel).Error
 | 
			
		||||
	}
 | 
			
		||||
	return &channel, err
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func BatchInsertChannels(channels []Channel) error {
 | 
			
		||||
	var err error
 | 
			
		||||
	err = DB.Create(&channels).Error
 | 
			
		||||
@@ -181,3 +174,8 @@ func DeleteChannelByStatus(status int64) (int64, error) {
 | 
			
		||||
	result := DB.Where("status = ?", status).Delete(&Channel{})
 | 
			
		||||
	return result.RowsAffected, result.Error
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func DeleteDisabledChannel() (int64, error) {
 | 
			
		||||
	result := DB.Where("status = ? or status = ?", common.ChannelStatusAutoDisabled, common.ChannelStatusManuallyDisabled).Delete(&Channel{})
 | 
			
		||||
	return result.RowsAffected, result.Error
 | 
			
		||||
}
 | 
			
		||||
 
 | 
			
		||||
@@ -94,7 +94,7 @@ func GetAllLogs(logType int, startTimestamp int64, endTimestamp int64, modelName
 | 
			
		||||
		tx = tx.Where("created_at <= ?", endTimestamp)
 | 
			
		||||
	}
 | 
			
		||||
	if channel != 0 {
 | 
			
		||||
		tx = tx.Where("channel = ?", channel)
 | 
			
		||||
		tx = tx.Where("channel_id = ?", channel)
 | 
			
		||||
	}
 | 
			
		||||
	err = tx.Order("id desc").Limit(num).Offset(startIdx).Find(&logs).Error
 | 
			
		||||
	return logs, err
 | 
			
		||||
@@ -151,7 +151,7 @@ func SumUsedQuota(logType int, startTimestamp int64, endTimestamp int64, modelNa
 | 
			
		||||
		tx = tx.Where("model_name = ?", modelName)
 | 
			
		||||
	}
 | 
			
		||||
	if channel != 0 {
 | 
			
		||||
		tx = tx.Where("channel = ?", channel)
 | 
			
		||||
		tx = tx.Where("channel_id = ?", channel)
 | 
			
		||||
	}
 | 
			
		||||
	tx.Where("type = ?", LogTypeConsume).Scan("a)
 | 
			
		||||
	return quota
 | 
			
		||||
 
 | 
			
		||||
@@ -42,6 +42,7 @@ func chooseDB() (*gorm.DB, error) {
 | 
			
		||||
		if strings.HasPrefix(dsn, "postgres://") {
 | 
			
		||||
			// Use PostgreSQL
 | 
			
		||||
			common.SysLog("using PostgreSQL as database")
 | 
			
		||||
			common.UsingPostgreSQL = true
 | 
			
		||||
			return gorm.Open(postgres.New(postgres.Config{
 | 
			
		||||
				DSN:                  dsn,
 | 
			
		||||
				PreferSimpleProtocol: true, // disables implicit prepared statement usage
 | 
			
		||||
 
 | 
			
		||||
@@ -50,8 +50,13 @@ func Redeem(key string, userId int) (quota int, err error) {
 | 
			
		||||
	}
 | 
			
		||||
	redemption := &Redemption{}
 | 
			
		||||
 | 
			
		||||
	keyCol := "`key`"
 | 
			
		||||
	if common.UsingPostgreSQL {
 | 
			
		||||
		keyCol = `"key"`
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	err = DB.Transaction(func(tx *gorm.DB) error {
 | 
			
		||||
		err := tx.Set("gorm:query_option", "FOR UPDATE").Where("`key` = ?", key).First(redemption).Error
 | 
			
		||||
		err := tx.Set("gorm:query_option", "FOR UPDATE").Where(keyCol+" = ?", key).First(redemption).Error
 | 
			
		||||
		if err != nil {
 | 
			
		||||
			return errors.New("无效的兑换码")
 | 
			
		||||
		}
 | 
			
		||||
 
 | 
			
		||||
@@ -266,7 +266,12 @@ func GetUserEmail(id int) (email string, err error) {
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
func GetUserGroup(id int) (group string, err error) {
 | 
			
		||||
	err = DB.Model(&User{}).Where("id = ?", id).Select("`group`").Find(&group).Error
 | 
			
		||||
	groupCol := "`group`"
 | 
			
		||||
	if common.UsingPostgreSQL {
 | 
			
		||||
		groupCol = `"group"`
 | 
			
		||||
	}
 | 
			
		||||
 | 
			
		||||
	err = DB.Model(&User{}).Where("id = ?", id).Select(groupCol).Find(&group).Error
 | 
			
		||||
	return group, err
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
 
 | 
			
		||||
@@ -74,7 +74,7 @@ func SetApiRouter(router *gin.Engine) {
 | 
			
		||||
			channelRoute.GET("/update_balance/:id", controller.UpdateChannelBalance)
 | 
			
		||||
			channelRoute.POST("/", controller.AddChannel)
 | 
			
		||||
			channelRoute.PUT("/", controller.UpdateChannel)
 | 
			
		||||
			channelRoute.DELETE("/manually_disabled", controller.DeleteManuallyDisabledChannel)
 | 
			
		||||
			channelRoute.DELETE("/disabled", controller.DeleteDisabledChannel)
 | 
			
		||||
			channelRoute.DELETE("/:id", controller.DeleteChannel)
 | 
			
		||||
		}
 | 
			
		||||
		tokenRoute := apiRouter.Group("/token")
 | 
			
		||||
 
 | 
			
		||||
@@ -29,6 +29,7 @@ func SetRelayRouter(router *gin.Engine) {
 | 
			
		||||
		relayV1Router.POST("/engines/:model/embeddings", controller.Relay)
 | 
			
		||||
		relayV1Router.POST("/audio/transcriptions", controller.Relay)
 | 
			
		||||
		relayV1Router.POST("/audio/translations", controller.Relay)
 | 
			
		||||
		relayV1Router.POST("/audio/speech", controller.Relay)
 | 
			
		||||
		relayV1Router.GET("/files", controller.RelayNotImplemented)
 | 
			
		||||
		relayV1Router.POST("/files", controller.RelayNotImplemented)
 | 
			
		||||
		relayV1Router.DELETE("/files/:id", controller.RelayNotImplemented)
 | 
			
		||||
 
 | 
			
		||||
@@ -1,7 +1,7 @@
 | 
			
		||||
import React, { useEffect, useState } from 'react';
 | 
			
		||||
import { Button, Form, Input, Label, Pagination, Popup, Table } from 'semantic-ui-react';
 | 
			
		||||
import { Button, Form, Input, Label, Message, Pagination, Popup, Table } from 'semantic-ui-react';
 | 
			
		||||
import { Link } from 'react-router-dom';
 | 
			
		||||
import { API, showError, showInfo, showNotice, showSuccess, timestamp2string } from '../helpers';
 | 
			
		||||
import { API, setPromptShown, shouldShowPrompt, showError, showInfo, showSuccess, timestamp2string } from '../helpers';
 | 
			
		||||
 | 
			
		||||
import { CHANNEL_OPTIONS, ITEMS_PER_PAGE } from '../constants';
 | 
			
		||||
import { renderGroup, renderNumber } from '../helpers/render';
 | 
			
		||||
@@ -55,6 +55,7 @@ const ChannelsTable = () => {
 | 
			
		||||
  const [searchKeyword, setSearchKeyword] = useState('');
 | 
			
		||||
  const [searching, setSearching] = useState(false);
 | 
			
		||||
  const [updatingBalance, setUpdatingBalance] = useState(false);
 | 
			
		||||
  const [showPrompt, setShowPrompt] = useState(shouldShowPrompt("channel-test"));
 | 
			
		||||
 | 
			
		||||
  const loadChannels = async (startIdx) => {
 | 
			
		||||
    const res = await API.get(`/api/channel/?p=${startIdx}`);
 | 
			
		||||
@@ -226,7 +227,6 @@ const ChannelsTable = () => {
 | 
			
		||||
      showInfo(`通道 ${name} 测试成功,耗时 ${time.toFixed(2)} 秒。`);
 | 
			
		||||
    } else {
 | 
			
		||||
      showError(message);
 | 
			
		||||
      showNotice('当前版本测试是通过按照 OpenAI API 格式使用 gpt-3.5-turbo 模型进行非流式请求实现的,因此测试报错并不一定代表通道不可用,该功能后续会修复。');
 | 
			
		||||
    }
 | 
			
		||||
  };
 | 
			
		||||
 | 
			
		||||
@@ -240,11 +240,11 @@ const ChannelsTable = () => {
 | 
			
		||||
    }
 | 
			
		||||
  };
 | 
			
		||||
 | 
			
		||||
  const deleteAllManuallyDisabledChannels = async () => {
 | 
			
		||||
    const res = await API.delete(`/api/channel/manually_disabled`);
 | 
			
		||||
  const deleteAllDisabledChannels = async () => {
 | 
			
		||||
    const res = await API.delete(`/api/channel/disabled`);
 | 
			
		||||
    const { success, message, data } = res.data;
 | 
			
		||||
    if (success) {
 | 
			
		||||
      showSuccess(`已删除所有手动禁用渠道,共计 ${data} 个`);
 | 
			
		||||
      showSuccess(`已删除所有禁用渠道,共计 ${data} 个`);
 | 
			
		||||
      await refresh();
 | 
			
		||||
    } else {
 | 
			
		||||
      showError(message);
 | 
			
		||||
@@ -286,17 +286,15 @@ const ChannelsTable = () => {
 | 
			
		||||
    if (channels.length === 0) return;
 | 
			
		||||
    setLoading(true);
 | 
			
		||||
    let sortedChannels = [...channels];
 | 
			
		||||
    if (typeof sortedChannels[0][key] === 'string') {
 | 
			
		||||
      sortedChannels.sort((a, b) => {
 | 
			
		||||
    sortedChannels.sort((a, b) => {
 | 
			
		||||
      if (!isNaN(a[key])) {
 | 
			
		||||
        // If the value is numeric, subtract to sort
 | 
			
		||||
        return a[key] - b[key];
 | 
			
		||||
      } else {
 | 
			
		||||
        // If the value is not numeric, sort as strings
 | 
			
		||||
        return ('' + a[key]).localeCompare(b[key]);
 | 
			
		||||
      });
 | 
			
		||||
    } else {
 | 
			
		||||
      sortedChannels.sort((a, b) => {
 | 
			
		||||
        if (a[key] === b[key]) return 0;
 | 
			
		||||
        if (a[key] > b[key]) return -1;
 | 
			
		||||
        if (a[key] < b[key]) return 1;
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
      }
 | 
			
		||||
    });
 | 
			
		||||
    if (sortedChannels[0].id === channels[0].id) {
 | 
			
		||||
      sortedChannels.reverse();
 | 
			
		||||
    }
 | 
			
		||||
@@ -304,6 +302,7 @@ const ChannelsTable = () => {
 | 
			
		||||
    setLoading(false);
 | 
			
		||||
  };
 | 
			
		||||
 | 
			
		||||
 | 
			
		||||
  return (
 | 
			
		||||
    <>
 | 
			
		||||
      <Form onSubmit={searchChannels}>
 | 
			
		||||
@@ -317,7 +316,19 @@ const ChannelsTable = () => {
 | 
			
		||||
          onChange={handleKeywordChange}
 | 
			
		||||
        />
 | 
			
		||||
      </Form>
 | 
			
		||||
      {
 | 
			
		||||
        showPrompt && (
 | 
			
		||||
          <Message onDismiss={() => {
 | 
			
		||||
            setShowPrompt(false);
 | 
			
		||||
            setPromptShown("channel-test");
 | 
			
		||||
          }}>
 | 
			
		||||
            当前版本测试是通过按照 OpenAI API 格式使用 gpt-3.5-turbo
 | 
			
		||||
            模型进行非流式请求实现的,因此测试报错并不一定代表通道不可用,该功能后续会修复。
 | 
			
		||||
 | 
			
		||||
            另外,OpenAI 渠道已经不再支持通过 key 获取余额,因此余额显示为 0。对于支持的渠道类型,请点击余额进行刷新。
 | 
			
		||||
          </Message>
 | 
			
		||||
        )
 | 
			
		||||
      }
 | 
			
		||||
      <Table basic compact size='small'>
 | 
			
		||||
        <Table.Header>
 | 
			
		||||
          <Table.Row>
 | 
			
		||||
@@ -519,14 +530,14 @@ const ChannelsTable = () => {
 | 
			
		||||
              <Popup
 | 
			
		||||
                trigger={
 | 
			
		||||
                  <Button size='small' loading={loading}>
 | 
			
		||||
                    删除所有手动禁用渠道
 | 
			
		||||
                    删除禁用渠道
 | 
			
		||||
                  </Button>
 | 
			
		||||
                }
 | 
			
		||||
                on='click'
 | 
			
		||||
                flowing
 | 
			
		||||
                hoverable
 | 
			
		||||
              >
 | 
			
		||||
                <Button size='small' loading={loading} negative onClick={deleteAllManuallyDisabledChannels}>
 | 
			
		||||
                <Button size='small' loading={loading} negative onClick={deleteAllDisabledChannels}>
 | 
			
		||||
                  确认删除
 | 
			
		||||
                </Button>
 | 
			
		||||
              </Popup>
 | 
			
		||||
 
 | 
			
		||||
@@ -130,7 +130,13 @@ const RedemptionsTable = () => {
 | 
			
		||||
    setLoading(true);
 | 
			
		||||
    let sortedRedemptions = [...redemptions];
 | 
			
		||||
    sortedRedemptions.sort((a, b) => {
 | 
			
		||||
      return ('' + a[key]).localeCompare(b[key]);
 | 
			
		||||
      if (!isNaN(a[key])) {
 | 
			
		||||
        // If the value is numeric, subtract to sort
 | 
			
		||||
        return a[key] - b[key];
 | 
			
		||||
      } else {
 | 
			
		||||
        // If the value is not numeric, sort as strings
 | 
			
		||||
        return ('' + a[key]).localeCompare(b[key]);
 | 
			
		||||
      }
 | 
			
		||||
    });
 | 
			
		||||
    if (sortedRedemptions[0].id === redemptions[0].id) {
 | 
			
		||||
      sortedRedemptions.reverse();
 | 
			
		||||
 
 | 
			
		||||
@@ -228,7 +228,13 @@ const TokensTable = () => {
 | 
			
		||||
    setLoading(true);
 | 
			
		||||
    let sortedTokens = [...tokens];
 | 
			
		||||
    sortedTokens.sort((a, b) => {
 | 
			
		||||
      return ('' + a[key]).localeCompare(b[key]);
 | 
			
		||||
      if (!isNaN(a[key])) {
 | 
			
		||||
        // If the value is numeric, subtract to sort
 | 
			
		||||
        return a[key] - b[key];
 | 
			
		||||
      } else {
 | 
			
		||||
        // If the value is not numeric, sort as strings
 | 
			
		||||
        return ('' + a[key]).localeCompare(b[key]);
 | 
			
		||||
      }
 | 
			
		||||
    });
 | 
			
		||||
    if (sortedTokens[0].id === tokens[0].id) {
 | 
			
		||||
      sortedTokens.reverse();
 | 
			
		||||
 
 | 
			
		||||
@@ -133,7 +133,13 @@ const UsersTable = () => {
 | 
			
		||||
    setLoading(true);
 | 
			
		||||
    let sortedUsers = [...users];
 | 
			
		||||
    sortedUsers.sort((a, b) => {
 | 
			
		||||
      return ('' + a[key]).localeCompare(b[key]);
 | 
			
		||||
      if (!isNaN(a[key])) {
 | 
			
		||||
        // If the value is numeric, subtract to sort
 | 
			
		||||
        return a[key] - b[key];
 | 
			
		||||
      } else {
 | 
			
		||||
        // If the value is not numeric, sort as strings
 | 
			
		||||
        return ('' + a[key]).localeCompare(b[key]);
 | 
			
		||||
      }
 | 
			
		||||
    });
 | 
			
		||||
    if (sortedUsers[0].id === users[0].id) {
 | 
			
		||||
      sortedUsers.reverse();
 | 
			
		||||
 
 | 
			
		||||
@@ -186,4 +186,14 @@ export const verifyJSON = (str) => {
 | 
			
		||||
    return false;
 | 
			
		||||
  }
 | 
			
		||||
  return true;
 | 
			
		||||
};
 | 
			
		||||
};
 | 
			
		||||
 | 
			
		||||
export function shouldShowPrompt(id) {
 | 
			
		||||
  let prompt = localStorage.getItem(`prompt-${id}`);
 | 
			
		||||
  return !prompt;
 | 
			
		||||
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
export function setPromptShown(id) {
 | 
			
		||||
  localStorage.setItem(`prompt-${id}`, 'true');
 | 
			
		||||
}
 | 
			
		||||
@@ -66,13 +66,13 @@ const EditChannel = () => {
 | 
			
		||||
          localModels = ['PaLM-2'];
 | 
			
		||||
          break;
 | 
			
		||||
        case 15:
 | 
			
		||||
          localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'Embedding-V1'];
 | 
			
		||||
          localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'ERNIE-Bot-4', 'Embedding-V1'];
 | 
			
		||||
          break;
 | 
			
		||||
        case 17:
 | 
			
		||||
          localModels = ['qwen-turbo', 'qwen-plus', 'text-embedding-v1'];
 | 
			
		||||
          break;
 | 
			
		||||
        case 16:
 | 
			
		||||
          localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
 | 
			
		||||
          localModels = ['chatglm_turbo', 'chatglm_pro', 'chatglm_std', 'chatglm_lite'];
 | 
			
		||||
          break;
 | 
			
		||||
        case 18:
 | 
			
		||||
          localModels = ['SparkDesk'];
 | 
			
		||||
 
 | 
			
		||||
		Reference in New Issue
	
	Block a user