feat: support zhipu's ChatGLM (close #289)

* feat: initial support of Dall-E

* fix: fix N not timed

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>
Co-authored-by: JustSong <39998050+songquanpeng@users.noreply.github.com>

README.en.md

@@ -285,6 +285,10 @@ If the channel ID is not provided, load balancing will be used to distribute the
 ## Note
 This project is an open-source project. Please use it in compliance with OpenAI's [Terms of Use](https://openai.com/policies/terms-of-use) and **applicable laws and regulations**. It must not be used for illegal purposes.
 
-This project is open-sourced under the MIT license. One must somehow retain the copyright information of One API.
+This project is released under the MIT license. Based on this, attribution and a link to this project must be included at the bottom of the page.
+
+The same applies to derivative projects based on this project.
+
+If you do not wish to include attribution, prior authorization must be obtained.
 
 According to the MIT license, users should bear the risk and responsibility of using this project, and the developer of this open-source project is not responsible for this.

README.md

@@ -51,6 +51,8 @@ _✨ All in one 的 OpenAI 接口，整合各种 API 访问方式，开箱即用
   <a href="https://iamazing.cn/page/reward">赞赏支持</a>
 </p>
 
+> **Note**：本项目为开源项目，使用者必须在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用，不得用于非法用途。
+
 > **Note**：使用 Docker 拉取的最新镜像可能是 `alpha` 版本，如果追求稳定性请手动指定版本。
 
 > **Warning**：从 `v0.3` 版本升级到 `v0.4` 版本需要手动迁移数据库，请手动执行[数据库迁移脚本](./bin/migration_v0.3-v0.4.sql)。
@@ -59,11 +61,16 @@ _✨ All in one 的 OpenAI 接口，整合各种 API 访问方式，开箱即用
 1. 支持多种 API 访问渠道：
    + [x] OpenAI 官方通道（支持配置镜像）
    + [x] **Azure OpenAI API**
+   + [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] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
    + [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) （邀请码：`OneAPI`）
+   + [x] [CloseAI](https://console.closeai-asia.com/r/2412)
    + [x] 自定义渠道：例如各种未收录的第三方代理服务
 2. 支持通过**负载均衡**的方式访问多个渠道。
 3. 支持 **stream 模式**，可以通过流式传输实现打字机效果。
@@ -78,21 +85,26 @@ _✨ All in one 的 OpenAI 接口，整合各种 API 访问方式，开箱即用
 12. 支持以美元为单位显示额度。
 13. 支持发布公告，设置充值链接，设置新用户初始额度。
 14. 支持模型映射，重定向用户的请求模型。
-15. 支持丰富的**自定义**设置，
+15. 支持失败自动重试。
+16. 支持绘图接口。
+17. 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。
-16. 支持通过系统访问令牌访问管理 API。
-17. 支持 Cloudflare Turnstile 用户校验。
-18. 支持用户管理，支持**多种用户登录注册方式**：
+18. 支持通过系统访问令牌访问管理 API。
+19. 支持 Cloudflare Turnstile 用户校验。
+20. 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。
     + [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)）。
-19. 未来其他大模型开放 API 后，将第一时间支持，并将其封装成同样的 API 访问方式。
 
 ## 部署
 ### 基于 Docker 进行部署
 部署命令：`docker run --name one-api -d --restart always -p 3000:3000 -e TZ=Asia/Shanghai -v /home/ubuntu/data/one-api:/data justsong/one-api`
 
+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。
+
 更新命令：`docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower -cR`
 
 `-p 3000:3000` 中的第一个 `3000` 是宿主机的端口，可以根据需要进行修改。
@@ -158,8 +170,8 @@ sudo service nginx restart
 ### 多机部署
 1. 所有服务器 `SESSION_SECRET` 设置一样的值。
 2. 必须设置 `SQL_DSN`，使用 MySQL 数据库而非 SQLite，所有服务器连接同一个数据库。
-3. 所有从服务器必须设置 `NODE_TYPE` 为 `slave`。
-4. 设置 `SYNC_FREQUENCY` 后服务器将定期从数据库同步配置。
+3. 所有从服务器必须设置 `NODE_TYPE` 为 `slave`，不设置则默认为主服务器。
+4. 设置 `SYNC_FREQUENCY` 后服务器将定期从数据库同步配置，在使用远程数据库的情况下，推荐设置该项并启用 Redis，无论主从。
 5. 从服务器可以选择设置 `FRONTEND_BASE_URL`，以重定向页面请求到主服务器。
 6. 从服务器上**分别**装好 Redis，设置好 `REDIS_CONN_STRING`，这样可以做到在缓存未过期的情况下数据库零访问，可以减少延迟。
 7. 如果主服务器访问数据库延迟也比较高，则也需要启用 Redis，并设置 `SYNC_FREQUENCY`，以定期从数据库同步配置。
@@ -182,7 +194,7 @@ sudo service nginx restart
 docker run --name chat-next-web -d -p 3001:3000 yidadaa/chatgpt-next-web
 ```
 
-注意修改端口号和 `BASE_URL`。
+注意修改端口号，之后在页面上设置接口地址（例如：https://openai.justsong.cn/ ）和 API Key 即可。
 
 #### ChatGPT Web
 项目主页：https://github.com/Chanzhaoyu/chatgpt-web
@@ -231,6 +243,8 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope
 
 等到系统启动后，使用 `root` 用户登录系统并做进一步的配置。
 
+**Note**：如果你不知道某个配置项的含义，可以临时删掉值以看到进一步的提示文字。
+
 ## 使用方法
 在`渠道`页面中添加你的 API Key，之后在`令牌`页面中新增访问令牌。
 
@@ -261,7 +275,10 @@ graph LR
    + 例子：`SESSION_SECRET=random_string`
 3. `SQL_DSN`：设置之后将使用指定数据库而非 SQLite，请使用 MySQL 8.0 版本。
    + 例子：`SQL_DSN=root:123456@tcp(localhost:3306)/oneapi`
-4. `FRONTEND_BASE_URL`：设置之后将使用指定的前端地址，而非后端地址，仅限从服务器设置。
+   + 注意需要提前建立数据库 `oneapi`，无需手动建表，程序将自动建表。
+   + 如果使用本地数据库：部署命令可添加 `--network="host"` 以使得容器内的程序可以访问到宿主机上的 MySQL。
+   + 如果使用云数据库：如果云服务器需要验证身份，需要在连接参数中添加 `?tls=skip-verify`。
+4. `FRONTEND_BASE_URL`：设置之后将重定向页面请求到指定的地址，仅限从服务器设置。
    + 例子：`FRONTEND_BASE_URL=https://openai.justsong.cn`
 5. `SYNC_FREQUENCY`：设置之后将定期与数据库同步配置，单位为秒，未设置则不进行同步。
    + 例子：`SYNC_FREQUENCY=60`
@@ -308,13 +325,16 @@ https://openai.justsong.cn
 5. ChatGPT Next Web 报错：`Failed to fetch`
    + 部署的时候不要设置 `BASE_URL`。
    + 检查你的接口地址和 API Key 有没有填对。
+6. 报错：`当前分组负载已饱和，请稍后再试`
+   + 上游通道 429 了。
 
 ## 相关项目
 [FastGPT](https://github.com/c121914yu/FastGPT): 三分钟搭建 AI 知识库
 
 ## 注意
-本项目为开源项目，请在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用，不得用于非法用途。
 
-本项目使用 MIT 协议进行开源，请以某种方式保留 One API 的版权信息。
+本项目使用 MIT 协议进行开源，**在此基础上**，必须在页面底部保留署名以及指向本项目的链接。如果不想保留署名，必须首先获得授权。
+
+同样适用于基于本项目的二开项目。
 
 依据 MIT 协议，使用者需自行承担使用本项目的风险与责任，本开源项目开发者与此无关。

bin/time_test.sh

@@ -1,13 +1,15 @@
 #!/bin/bash
 
-if [ $# -ne 3 ]; then
-  echo "Usage: time_test.sh <domain> <key> <count>"
+if [ $# -lt 3 ]; then
+  echo "Usage: time_test.sh <domain> <key> <count> [<model>]"
   exit 1
 fi
 
 domain=$1
 key=$2
 count=$3
+model=${4:-"gpt-3.5-turbo"} # 设置默认模型为 gpt-3.5-turbo
+
 total_time=0
 times=()
 
@@ -16,7 +18,7 @@ for ((i=1; i<=count; i++)); do
            https://"$domain"/v1/chat/completions \
            -H "Content-Type: application/json" \
            -H "Authorization: Bearer $key" \
-           -d '{"messages": [{"content": "echo hi", "role": "user"}], "model": "gpt-3.5-turbo", "stream": false, "max_tokens": 1}')
+           -d '{"messages": [{"content": "echo hi", "role": "user"}], "model": "'"$model"'", "stream": false, "max_tokens": 1}')
   http_code=$(echo "$result" | awk '{print $1}')
   time=$(echo "$result" | awk '{print $2}')
   echo "HTTP status code: $http_code, Time taken: $time"

common/constants.go

@@ -67,6 +67,8 @@ var ChannelDisableThreshold = 5.0
 var AutomaticDisableChannelEnabled = false
 var QuotaRemindThreshold = 1000
 var PreConsumedQuota = 500
+var ApproximateTokenEnabled = false
+var RetryTimes = 0
 
 var RootUserEmail = ""
 
@@ -148,6 +150,10 @@ const (
 	ChannelTypeAIProxy   = 10
 	ChannelTypePaLM      = 11
 	ChannelTypeAPI2GPT   = 12
+	ChannelTypeAIGC2D    = 13
+	ChannelTypeAnthropic = 14
+	ChannelTypeBaidu     = 15
+	ChannelTypeZhipu     = 16
 )
 
 var ChannelBaseURLs = []string{
@@ -155,7 +161,7 @@ var ChannelBaseURLs = []string{
 	"https://api.openai.com",        // 1
 	"https://oa.api2d.net",          // 2
 	"",                              // 3
-	"https://api.openai-proxy.org", // 4
+	"https://api.closeai-proxy.xyz", // 4
 	"https://api.openai-sb.com",     // 5
 	"https://api.openaimax.com",     // 6
 	"https://api.ohmygpt.com",       // 7
@@ -164,4 +170,8 @@ var ChannelBaseURLs = []string{
 	"https://api.aiproxy.io",        // 10
 	"",                              // 11
 	"https://api.api2gpt.com",       // 12
+	"https://api.aigc2d.com",        // 13
+	"https://api.anthropic.com",     // 14
+	"https://aip.baidubce.com",      // 15
+	"https://open.bigmodel.cn",      // 16
 }

common/model-ratio.go

@@ -4,9 +4,11 @@ import "encoding/json"
 
 // ModelRatio
 // https://platform.openai.com/docs/models/model-endpoint-compatibility
+// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
 // https://openai.com/pricing
 // TODO: when a new api is enabled, check the pricing here
 // 1 === $0.002 / 1K tokens
+// 1 === ￥0.014 / 1k tokens
 var ModelRatio = map[string]float64{
 	"gpt-4":                   15,
 	"gpt-4-0314":              15,
@@ -35,6 +37,15 @@ var ModelRatio = map[string]float64{
 	"text-search-ada-doc-001": 10,
 	"text-moderation-stable":  0.1,
 	"text-moderation-latest":  0.1,
+	"dall-e":                  8,
+	"claude-instant-1":        0.75,
+	"claude-2":                30,
+	"ERNIE-Bot":               0.8572, // ￥0.012 / 1k tokens
+	"ERNIE-Bot-turbo":         0.5715, // ￥0.008 / 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
 }
 
 func ModelRatio2JSONString() string {

controller/billing.go

@@ -7,16 +7,19 @@ import (
 )
 
 func GetSubscription(c *gin.Context) {
-	var quota int
+	var remainQuota int
+	var usedQuota int
 	var err error
 	var token *model.Token
 	if common.DisplayTokenStatEnabled {
 		tokenId := c.GetInt("token_id")
 		token, err = model.GetTokenById(tokenId)
-		quota = token.RemainQuota
+		remainQuota = token.RemainQuota
+		usedQuota = token.UsedQuota
 	} else {
 		userId := c.GetInt("id")
-		quota, err = model.GetUserQuota(userId)
+		remainQuota, err = model.GetUserQuota(userId)
+		usedQuota, err = model.GetUserUsedQuota(userId)
 	}
 	if err != nil {
 		openAIError := OpenAIError{
@@ -28,6 +31,7 @@ func GetSubscription(c *gin.Context) {
 		})
 		return
 	}
+	quota := remainQuota + usedQuota
 	amount := float64(quota)
 	if common.DisplayInCurrencyEnabled {
 		amount /= common.QuotaPerUnit

controller/channel-billing.go

@@ -32,6 +32,13 @@ type OpenAIUsageDailyCost struct {
 	}
 }
 
+type OpenAICreditGrants struct {
+	Object         string  `json:"object"`
+	TotalGranted   float64 `json:"total_granted"`
+	TotalUsed      float64 `json:"total_used"`
+	TotalAvailable float64 `json:"total_available"`
+}
+
 type OpenAIUsageResponse struct {
 	Object string `json:"object"`
 	//DailyCosts []OpenAIUsageDailyCost `json:"daily_costs"`
@@ -61,6 +68,14 @@ type API2GPTUsageResponse struct {
 	TotalRemaining float64 `json:"total_remaining"`
 }
 
+type APGC2DGPTUsageResponse struct {
+	//Grants         interface{} `json:"grants"`
+	Object         string  `json:"object"`
+	TotalAvailable float64 `json:"total_available"`
+	TotalGranted   float64 `json:"total_granted"`
+	TotalUsed      float64 `json:"total_used"`
+}
+
 // GetAuthHeader get auth header
 func GetAuthHeader(token string) http.Header {
 	h := http.Header{}
@@ -92,6 +107,22 @@ func GetResponseBody(method, url string, channel *model.Channel, headers http.He
 	return body, nil
 }
 
+func updateChannelCloseAIBalance(channel *model.Channel) (float64, error) {
+	url := fmt.Sprintf("%s/dashboard/billing/credit_grants", channel.BaseURL)
+	body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key))
+
+	if err != nil {
+		return 0, err
+	}
+	response := OpenAICreditGrants{}
+	err = json.Unmarshal(body, &response)
+	if err != nil {
+		return 0, err
+	}
+	channel.UpdateBalance(response.TotalAvailable)
+	return response.TotalAvailable, nil
+}
+
 func updateChannelOpenAISBBalance(channel *model.Channel) (float64, error) {
 	url := fmt.Sprintf("https://api.openai-sb.com/sb-api/user/status?api_key=%s", channel.Key)
 	body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key))
@@ -150,8 +181,26 @@ func updateChannelAPI2GPTBalance(channel *model.Channel) (float64, error) {
 	return response.TotalRemaining, nil
 }
 
+func updateChannelAIGC2DBalance(channel *model.Channel) (float64, error) {
+	url := "https://api.aigc2d.com/dashboard/billing/credit_grants"
+	body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key))
+	if err != nil {
+		return 0, err
+	}
+	response := APGC2DGPTUsageResponse{}
+	err = json.Unmarshal(body, &response)
+	if err != nil {
+		return 0, err
+	}
+	channel.UpdateBalance(response.TotalAvailable)
+	return response.TotalAvailable, nil
+}
+
 func updateChannelBalance(channel *model.Channel) (float64, error) {
 	baseURL := common.ChannelBaseURLs[channel.Type]
+	if channel.BaseURL == "" {
+		channel.BaseURL = baseURL
+	}
 	switch channel.Type {
 	case common.ChannelTypeOpenAI:
 		if channel.BaseURL != "" {
@@ -161,12 +210,16 @@ func updateChannelBalance(channel *model.Channel) (float64, error) {
 		return 0, errors.New("尚未实现")
 	case common.ChannelTypeCustom:
 		baseURL = channel.BaseURL
+	case common.ChannelTypeCloseAI:
+		return updateChannelCloseAIBalance(channel)
 	case common.ChannelTypeOpenAISB:
 		return updateChannelOpenAISBBalance(channel)
 	case common.ChannelTypeAIProxy:
 		return updateChannelAIProxyBalance(channel)
 	case common.ChannelTypeAPI2GPT:
 		return updateChannelAPI2GPTBalance(channel)
+	case common.ChannelTypeAIGC2D:
+		return updateChannelAIGC2DBalance(channel)
 	default:
 		return 0, errors.New("尚未实现")
 	}

controller/channel-test.go

@@ -14,7 +14,7 @@ import (
 	"time"
 )
 
-func testChannel(channel *model.Channel, request ChatRequest) error {
+func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIError) {
 	switch channel.Type {
 	case common.ChannelTypeAzure:
 		request.Model = "gpt-35-turbo"
@@ -33,11 +33,11 @@ func testChannel(channel *model.Channel, request ChatRequest) error {
 
 	jsonData, err := json.Marshal(request)
 	if err != nil {
-		return err
+		return err, nil
 	}
 	req, err := http.NewRequest("POST", requestURL, bytes.NewBuffer(jsonData))
 	if err != nil {
-		return err
+		return err, nil
 	}
 	if channel.Type == common.ChannelTypeAzure {
 		req.Header.Set("api-key", channel.Key)
@@ -48,18 +48,18 @@ func testChannel(channel *model.Channel, request ChatRequest) error {
 	client := &http.Client{}
 	resp, err := client.Do(req)
 	if err != nil {
-		return err
+		return err, nil
 	}
 	defer resp.Body.Close()
 	var response TextResponse
 	err = json.NewDecoder(resp.Body).Decode(&response)
 	if err != nil {
-		return err
+		return err, nil
 	}
 	if response.Usage.CompletionTokens == 0 {
-		return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message))
+		return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error
 	}
-	return nil
+	return nil, nil
 }
 
 func buildTestRequest() *ChatRequest {
@@ -94,7 +94,7 @@ func TestChannel(c *gin.Context) {
 	}
 	testRequest := buildTestRequest()
 	tik := time.Now()
-	err = testChannel(channel, *testRequest)
+	err, _ = testChannel(channel, *testRequest)
 	tok := time.Now()
 	milliseconds := tok.Sub(tik).Milliseconds()
 	go channel.UpdateResponseTime(milliseconds)
@@ -158,13 +158,14 @@ func testAllChannels(notify bool) error {
 				continue
 			}
 			tik := time.Now()
-			err := testChannel(channel, *testRequest)
+			err, openaiErr := testChannel(channel, *testRequest)
 			tok := time.Now()
 			milliseconds := tok.Sub(tik).Milliseconds()
-			if err != nil || milliseconds > disableThreshold {
 			if milliseconds > disableThreshold {
 				err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0))
+				disableChannel(channel.Id, channel.Name, err.Error())
 			}
+			if shouldDisableChannel(openaiErr) {
 				disableChannel(channel.Id, channel.Name, err.Error())
 			}
 			channel.UpdateResponseTime(milliseconds)

controller/model.go

@@ -2,6 +2,7 @@ package controller
 
 import (
 	"fmt"
+
 	"github.com/gin-gonic/gin"
 )
 
@@ -53,6 +54,15 @@ func init() {
 	})
 	// https://platform.openai.com/docs/models/model-endpoint-compatibility
 	openAIModels = []OpenAIModels{
+		{
+			Id:         "dall-e",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "dall-e",
+			Parent:     nil,
+		},
 		{
 			Id:         "gpt-3.5-turbo",
 			Object:     "model",
@@ -242,6 +252,78 @@ func init() {
 			Root:       "code-davinci-edit-001",
 			Parent:     nil,
 		},
+		{
+			Id:         "claude-instant-1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "anturopic",
+			Permission: permission,
+			Root:       "claude-instant-1",
+			Parent:     nil,
+		},
+		{
+			Id:         "claude-2",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "anturopic",
+			Permission: permission,
+			Root:       "claude-2",
+			Parent:     nil,
+		},
+		{
+			Id:         "ERNIE-Bot",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "baidu",
+			Permission: permission,
+			Root:       "ERNIE-Bot",
+			Parent:     nil,
+		},
+		{
+			Id:         "ERNIE-Bot-turbo",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "baidu",
+			Permission: permission,
+			Root:       "ERNIE-Bot-turbo",
+			Parent:     nil,
+		},
+		{
+			Id:         "PaLM-2",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "google",
+			Permission: permission,
+			Root:       "PaLM-2",
+			Parent:     nil,
+		},
+		{
+			Id:         "chatglm_pro",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "zhipu",
+			Permission: permission,
+			Root:       "chatglm_pro",
+			Parent:     nil,
+		},
+		{
+			Id:         "chatglm_std",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "zhipu",
+			Permission: permission,
+			Root:       "chatglm_std",
+			Parent:     nil,
+		},
+		{
+			Id:         "chatglm_lite",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "zhipu",
+			Permission: permission,
+			Root:       "chatglm_lite",
+			Parent:     nil,
+		},
 	}
 	openAIModelsMap = make(map[string]OpenAIModels)
 	for _, model := range openAIModels {

controller/relay-baidu.go

@@ -0,0 +1,203 @@
+package controller
+
+import (
+	"bufio"
+	"encoding/json"
+	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
+	"strings"
+)
+
+// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/flfmc9do2
+
+type BaiduTokenResponse struct {
+	RefreshToken  string `json:"refresh_token"`
+	ExpiresIn     int    `json:"expires_in"`
+	SessionKey    string `json:"session_key"`
+	AccessToken   string `json:"access_token"`
+	Scope         string `json:"scope"`
+	SessionSecret string `json:"session_secret"`
+}
+
+type BaiduMessage struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type BaiduChatRequest struct {
+	Messages []BaiduMessage `json:"messages"`
+	Stream   bool           `json:"stream"`
+	UserId   string         `json:"user_id,omitempty"`
+}
+
+type BaiduError struct {
+	ErrorCode int    `json:"error_code"`
+	ErrorMsg  string `json:"error_msg"`
+}
+
+type BaiduChatResponse struct {
+	Id               string `json:"id"`
+	Object           string `json:"object"`
+	Created          int64  `json:"created"`
+	Result           string `json:"result"`
+	IsTruncated      bool   `json:"is_truncated"`
+	NeedClearHistory bool   `json:"need_clear_history"`
+	Usage            Usage  `json:"usage"`
+	BaiduError
+}
+
+type BaiduChatStreamResponse struct {
+	BaiduChatResponse
+	SentenceId int  `json:"sentence_id"`
+	IsEnd      bool `json:"is_end"`
+}
+
+func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
+	messages := make([]BaiduMessage, 0, len(request.Messages))
+	for _, message := range request.Messages {
+		messages = append(messages, BaiduMessage{
+			Role:    message.Role,
+			Content: message.Content,
+		})
+	}
+	return &BaiduChatRequest{
+		Messages: messages,
+		Stream:   request.Stream,
+	}
+}
+
+func responseBaidu2OpenAI(response *BaiduChatResponse) *OpenAITextResponse {
+	choice := OpenAITextResponseChoice{
+		Index: 0,
+		Message: Message{
+			Role:    "assistant",
+			Content: response.Result,
+		},
+		FinishReason: "stop",
+	}
+	fullTextResponse := OpenAITextResponse{
+		Id:      response.Id,
+		Object:  "chat.completion",
+		Created: response.Created,
+		Choices: []OpenAITextResponseChoice{choice},
+		Usage:   response.Usage,
+	}
+	return &fullTextResponse
+}
+
+func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCompletionsStreamResponse {
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = baiduResponse.Result
+	choice.FinishReason = "stop"
+	response := ChatCompletionsStreamResponse{
+		Id:      baiduResponse.Id,
+		Object:  "chat.completion.chunk",
+		Created: baiduResponse.Created,
+		Model:   "ernie-bot",
+		Choices: []ChatCompletionsStreamResponseChoice{choice},
+	}
+	return &response
+}
+
+func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var usage Usage
+	scanner := bufio.NewScanner(resp.Body)
+	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
+		if atEOF && len(data) == 0 {
+			return 0, nil, nil
+		}
+		if i := strings.Index(string(data), "\n"); i >= 0 {
+			return i + 1, data[0:i], nil
+		}
+		if atEOF {
+			return len(data), data, nil
+		}
+		return 0, nil, nil
+	})
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		for scanner.Scan() {
+			data := scanner.Text()
+			if len(data) < 6 { // ignore blank line or wrong format
+				continue
+			}
+			data = data[6:]
+			dataChan <- data
+		}
+		stopChan <- true
+	}()
+	c.Writer.Header().Set("Content-Type", "text/event-stream")
+	c.Writer.Header().Set("Cache-Control", "no-cache")
+	c.Writer.Header().Set("Connection", "keep-alive")
+	c.Writer.Header().Set("Transfer-Encoding", "chunked")
+	c.Writer.Header().Set("X-Accel-Buffering", "no")
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			var baiduResponse BaiduChatStreamResponse
+			err := json.Unmarshal([]byte(data), &baiduResponse)
+			if err != nil {
+				common.SysError("error unmarshalling stream response: " + err.Error())
+				return true
+			}
+			usage.PromptTokens += baiduResponse.Usage.PromptTokens
+			usage.CompletionTokens += baiduResponse.Usage.CompletionTokens
+			usage.TotalTokens += baiduResponse.Usage.TotalTokens
+			response := streamResponseBaidu2OpenAI(&baiduResponse)
+			jsonResponse, err := json.Marshal(response)
+			if err != nil {
+				common.SysError("error marshalling stream response: " + err.Error())
+				return true
+			}
+			c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
+			return true
+		case <-stopChan:
+			c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
+			return false
+		}
+	})
+	err := resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	return nil, &usage
+}
+
+func baiduHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var baiduResponse BaiduChatResponse
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = json.Unmarshal(responseBody, &baiduResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if baiduResponse.ErrorMsg != "" {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: baiduResponse.ErrorMsg,
+				Type:    "baidu_error",
+				Param:   "",
+				Code:    baiduResponse.ErrorCode,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responseBaidu2OpenAI(&baiduResponse)
+	jsonResponse, err := json.Marshal(fullTextResponse)
+	if err != nil {
+		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	c.Writer.Header().Set("Content-Type", "application/json")
+	c.Writer.WriteHeader(resp.StatusCode)
+	_, err = c.Writer.Write(jsonResponse)
+	return nil, &fullTextResponse.Usage
+}

controller/relay-claude.go

@@ -0,0 +1,221 @@
+package controller
+
+import (
+	"bufio"
+	"encoding/json"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
+	"strings"
+)
+
+type ClaudeMetadata struct {
+	UserId string `json:"user_id"`
+}
+
+type ClaudeRequest struct {
+	Model             string   `json:"model"`
+	Prompt            string   `json:"prompt"`
+	MaxTokensToSample int      `json:"max_tokens_to_sample"`
+	StopSequences     []string `json:"stop_sequences,omitempty"`
+	Temperature       float64  `json:"temperature,omitempty"`
+	TopP              float64  `json:"top_p,omitempty"`
+	TopK              int      `json:"top_k,omitempty"`
+	//ClaudeMetadata    `json:"metadata,omitempty"`
+	Stream bool `json:"stream,omitempty"`
+}
+
+type ClaudeError struct {
+	Type    string `json:"type"`
+	Message string `json:"message"`
+}
+
+type ClaudeResponse struct {
+	Completion string      `json:"completion"`
+	StopReason string      `json:"stop_reason"`
+	Model      string      `json:"model"`
+	Error      ClaudeError `json:"error"`
+}
+
+func stopReasonClaude2OpenAI(reason string) string {
+	switch reason {
+	case "stop_sequence":
+		return "stop"
+	case "max_tokens":
+		return "length"
+	default:
+		return reason
+	}
+}
+
+func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest {
+	claudeRequest := ClaudeRequest{
+		Model:             textRequest.Model,
+		Prompt:            "",
+		MaxTokensToSample: textRequest.MaxTokens,
+		StopSequences:     nil,
+		Temperature:       textRequest.Temperature,
+		TopP:              textRequest.TopP,
+		Stream:            textRequest.Stream,
+	}
+	if claudeRequest.MaxTokensToSample == 0 {
+		claudeRequest.MaxTokensToSample = 1000000
+	}
+	prompt := ""
+	for _, message := range textRequest.Messages {
+		if message.Role == "user" {
+			prompt += fmt.Sprintf("\n\nHuman: %s", message.Content)
+		} else if message.Role == "assistant" {
+			prompt += fmt.Sprintf("\n\nAssistant: %s", message.Content)
+		} else {
+			// ignore other roles
+		}
+		prompt += "\n\nAssistant:"
+	}
+	claudeRequest.Prompt = prompt
+	return &claudeRequest
+}
+
+func streamResponseClaude2OpenAI(claudeResponse *ClaudeResponse) *ChatCompletionsStreamResponse {
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = claudeResponse.Completion
+	choice.FinishReason = stopReasonClaude2OpenAI(claudeResponse.StopReason)
+	var response ChatCompletionsStreamResponse
+	response.Object = "chat.completion.chunk"
+	response.Model = claudeResponse.Model
+	response.Choices = []ChatCompletionsStreamResponseChoice{choice}
+	return &response
+}
+
+func responseClaude2OpenAI(claudeResponse *ClaudeResponse) *OpenAITextResponse {
+	choice := OpenAITextResponseChoice{
+		Index: 0,
+		Message: Message{
+			Role:    "assistant",
+			Content: strings.TrimPrefix(claudeResponse.Completion, " "),
+			Name:    nil,
+		},
+		FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason),
+	}
+	fullTextResponse := OpenAITextResponse{
+		Id:      fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
+		Object:  "chat.completion",
+		Created: common.GetTimestamp(),
+		Choices: []OpenAITextResponseChoice{choice},
+	}
+	return &fullTextResponse
+}
+
+func claudeStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
+	responseText := ""
+	responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
+	createdTime := common.GetTimestamp()
+	scanner := bufio.NewScanner(resp.Body)
+	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
+		if atEOF && len(data) == 0 {
+			return 0, nil, nil
+		}
+		if i := strings.Index(string(data), "\r\n\r\n"); i >= 0 {
+			return i + 4, data[0:i], nil
+		}
+		if atEOF {
+			return len(data), data, nil
+		}
+		return 0, nil, nil
+	})
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		for scanner.Scan() {
+			data := scanner.Text()
+			if !strings.HasPrefix(data, "event: completion") {
+				continue
+			}
+			data = strings.TrimPrefix(data, "event: completion\r\ndata: ")
+			dataChan <- data
+		}
+		stopChan <- true
+	}()
+	c.Writer.Header().Set("Content-Type", "text/event-stream")
+	c.Writer.Header().Set("Cache-Control", "no-cache")
+	c.Writer.Header().Set("Connection", "keep-alive")
+	c.Writer.Header().Set("Transfer-Encoding", "chunked")
+	c.Writer.Header().Set("X-Accel-Buffering", "no")
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			// some implementations may add \r at the end of data
+			data = strings.TrimSuffix(data, "\r")
+			var claudeResponse ClaudeResponse
+			err := json.Unmarshal([]byte(data), &claudeResponse)
+			if err != nil {
+				common.SysError("error unmarshalling stream response: " + err.Error())
+				return true
+			}
+			responseText += claudeResponse.Completion
+			response := streamResponseClaude2OpenAI(&claudeResponse)
+			response.Id = responseId
+			response.Created = createdTime
+			jsonStr, err := json.Marshal(response)
+			if err != nil {
+				common.SysError("error marshalling stream response: " + err.Error())
+				return true
+			}
+			c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
+			return true
+		case <-stopChan:
+			c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
+			return false
+		}
+	})
+	err := resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+	}
+	return nil, responseText
+}
+
+func claudeHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	var claudeResponse ClaudeResponse
+	err = json.Unmarshal(responseBody, &claudeResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if claudeResponse.Error.Type != "" {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: claudeResponse.Error.Message,
+				Type:    claudeResponse.Error.Type,
+				Param:   "",
+				Code:    claudeResponse.Error.Type,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responseClaude2OpenAI(&claudeResponse)
+	completionTokens := countTokenText(claudeResponse.Completion, model)
+	usage := Usage{
+		PromptTokens:     promptTokens,
+		CompletionTokens: completionTokens,
+		TotalTokens:      promptTokens + completionTokens,
+	}
+	fullTextResponse.Usage = usage
+	jsonResponse, err := json.Marshal(fullTextResponse)
+	if err != nil {
+		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	c.Writer.Header().Set("Content-Type", "application/json")
+	c.Writer.WriteHeader(resp.StatusCode)
+	_, err = c.Writer.Write(jsonResponse)
+	return nil, &usage
+}

controller/relay-image.go

@@ -1,34 +1,181 @@
 package controller
 
 import (
-	"github.com/gin-gonic/gin"
+	"bytes"
+	"encoding/json"
+	"errors"
+	"fmt"
 	"io"
 	"net/http"
+	"one-api/common"
+	"one-api/model"
+
+	"github.com/gin-gonic/gin"
 )
 
 func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
-	// TODO: this part is not finished
-	req, err := http.NewRequest(c.Request.Method, c.Request.RequestURI, c.Request.Body)
+	imageModel := "dall-e"
+
+	tokenId := c.GetInt("token_id")
+	channelType := c.GetInt("channel")
+	userId := c.GetInt("id")
+	consumeQuota := c.GetBool("consume_quota")
+	group := c.GetString("group")
+
+	var imageRequest ImageRequest
+	if consumeQuota {
+		err := common.UnmarshalBodyReusable(c, &imageRequest)
+		if err != nil {
+			return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
+		}
+	}
+
+	// Prompt validation
+	if imageRequest.Prompt == "" {
+		return errorWrapper(errors.New("prompt is required"), "required_field_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)
+	}
+
+	// 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)
+	}
+
+	// map model name
+	modelMapping := c.GetString("model_mapping")
+	isModelMapped := false
+	if modelMapping != "" {
+		modelMap := make(map[string]string)
+		err := json.Unmarshal([]byte(modelMapping), &modelMap)
+		if err != nil {
+			return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
+		}
+		if modelMap[imageModel] != "" {
+			imageModel = modelMap[imageModel]
+			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)
+
+	var requestBody io.Reader
+	if isModelMapped {
+		jsonStr, err := json.Marshal(imageRequest)
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	} else {
+		requestBody = c.Request.Body
+	}
+
+	modelRatio := common.GetModelRatio(imageModel)
+	groupRatio := common.GetGroupRatio(group)
+	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
+
+	if consumeQuota && userQuota-quota < 0 {
+		return errorWrapper(err, "insufficient_user_quota", http.StatusForbidden)
+	}
+
+	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
+	if err != nil {
+		return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
+	}
+	req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
+
+	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
+	req.Header.Set("Accept", c.Request.Header.Get("Accept"))
+
 	client := &http.Client{}
 	resp, err := client.Do(req)
 	if err != nil {
-		return errorWrapper(err, "do_request_failed", http.StatusOK)
+		return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
 	}
+
 	err = req.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_request_body_failed", http.StatusOK)
+		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 	}
+	err = c.Request.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+	}
+	var textResponse ImageResponse
+
+	defer func() {
+		if consumeQuota {
+			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 {
+				tokenName := c.GetString("token_name")
+				logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
+				model.RecordConsumeLog(userId, 0, 0, imageModel, tokenName, quota, logContent)
+				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
+				channelId := c.GetInt("channel_id")
+				model.UpdateChannelUsedQuota(channelId, quota)
+			}
+		}
+	}()
+
+	if consumeQuota {
+		responseBody, err := io.ReadAll(resp.Body)
+
+		if err != nil {
+			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+		}
+		err = resp.Body.Close()
+		if err != nil {
+			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+		}
+		err = json.Unmarshal(responseBody, &textResponse)
+		if err != nil {
+			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
+		}
+
+		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
+	}
+
 	for k, v := range resp.Header {
 		c.Writer.Header().Set(k, v[0])
 	}
 	c.Writer.WriteHeader(resp.StatusCode)
+
 	_, err = io.Copy(c.Writer, resp.Body)
 	if err != nil {
-		return errorWrapper(err, "copy_response_body_failed", http.StatusOK)
+		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
 	}
 	err = resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusOK)
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
 	}
 	return nil
 }

controller/relay-openai.go

@@ -0,0 +1,133 @@
+package controller
+
+import (
+	"bufio"
+	"bytes"
+	"encoding/json"
+	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
+	"strings"
+)
+
+func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*OpenAIErrorWithStatusCode, string) {
+	responseText := ""
+	scanner := bufio.NewScanner(resp.Body)
+	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
+		if atEOF && len(data) == 0 {
+			return 0, nil, nil
+		}
+		if i := strings.Index(string(data), "\n"); i >= 0 {
+			return i + 1, data[0:i], nil
+		}
+		if atEOF {
+			return len(data), data, nil
+		}
+		return 0, nil, nil
+	})
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		for scanner.Scan() {
+			data := scanner.Text()
+			if len(data) < 6 { // ignore blank line or wrong format
+				continue
+			}
+			dataChan <- data
+			data = data[6:]
+			if !strings.HasPrefix(data, "[DONE]") {
+				switch relayMode {
+				case RelayModeChatCompletions:
+					var streamResponse ChatCompletionsStreamResponse
+					err := json.Unmarshal([]byte(data), &streamResponse)
+					if err != nil {
+						common.SysError("error unmarshalling stream response: " + err.Error())
+						return
+					}
+					for _, choice := range streamResponse.Choices {
+						responseText += choice.Delta.Content
+					}
+				case RelayModeCompletions:
+					var streamResponse CompletionsStreamResponse
+					err := json.Unmarshal([]byte(data), &streamResponse)
+					if err != nil {
+						common.SysError("error unmarshalling stream response: " + err.Error())
+						return
+					}
+					for _, choice := range streamResponse.Choices {
+						responseText += choice.Text
+					}
+				}
+			}
+		}
+		stopChan <- true
+	}()
+	c.Writer.Header().Set("Content-Type", "text/event-stream")
+	c.Writer.Header().Set("Cache-Control", "no-cache")
+	c.Writer.Header().Set("Connection", "keep-alive")
+	c.Writer.Header().Set("Transfer-Encoding", "chunked")
+	c.Writer.Header().Set("X-Accel-Buffering", "no")
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			if strings.HasPrefix(data, "data: [DONE]") {
+				data = data[:12]
+			}
+			// some implementations may add \r at the end of data
+			data = strings.TrimSuffix(data, "\r")
+			c.Render(-1, common.CustomEvent{Data: data})
+			return true
+		case <-stopChan:
+			return false
+		}
+	})
+	err := resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+	}
+	return nil, responseText
+}
+
+func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool) (*OpenAIErrorWithStatusCode, *Usage) {
+	var textResponse TextResponse
+	if consumeQuota {
+		responseBody, err := io.ReadAll(resp.Body)
+		if err != nil {
+			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		}
+		err = resp.Body.Close()
+		if err != nil {
+			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+		}
+		err = json.Unmarshal(responseBody, &textResponse)
+		if err != nil {
+			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+		}
+		if textResponse.Error.Type != "" {
+			return &OpenAIErrorWithStatusCode{
+				OpenAIError: textResponse.Error,
+				StatusCode:  resp.StatusCode,
+			}, nil
+		}
+		// Reset response body
+		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
+	}
+	// We shouldn't set the header before we parse the response body, because the parse part may fail.
+	// And then we will have to send an error response, but in this case, the header has already been set.
+	// So the client will be confused by the response.
+	// For example, Postman will report error, and we cannot check the response at all.
+	for k, v := range resp.Header {
+		c.Writer.Header().Set(k, v[0])
+	}
+	c.Writer.WriteHeader(resp.StatusCode)
+	_, err := io.Copy(c.Writer, resp.Body)
+	if err != nil {
+		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	return nil, &textResponse.Usage
+}

controller/relay-palm.go

@@ -1,10 +1,17 @@
 package controller
 
 import (
+	"encoding/json"
 	"fmt"
 	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
 )
 
+// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
+// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
+
 type PaLMChatMessage struct {
 	Author  string `json:"author"`
 	Content string `json:"content"`
@@ -15,45 +22,188 @@ type PaLMFilter struct {
 	Message string `json:"message"`
 }
 
-// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
-type PaLMChatRequest struct {
-	Prompt         []Message `json:"prompt"`
-	Temperature    float64   `json:"temperature"`
-	CandidateCount int       `json:"candidateCount"`
-	TopP           float64   `json:"topP"`
-	TopK           int       `json:"topK"`
+type PaLMPrompt struct {
+	Messages []PaLMChatMessage `json:"messages"`
+}
+
+type PaLMChatRequest struct {
+	Prompt         PaLMPrompt `json:"prompt"`
+	Temperature    float64    `json:"temperature,omitempty"`
+	CandidateCount int        `json:"candidateCount,omitempty"`
+	TopP           float64    `json:"topP,omitempty"`
+	TopK           int        `json:"topK,omitempty"`
+}
+
+type PaLMError struct {
+	Code    int    `json:"code"`
+	Message string `json:"message"`
+	Status  string `json:"status"`
 }
 
-// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
 type PaLMChatResponse struct {
-	Candidates []Message    `json:"candidates"`
+	Candidates []PaLMChatMessage `json:"candidates"`
 	Messages   []Message         `json:"messages"`
 	Filters    []PaLMFilter      `json:"filters"`
+	Error      PaLMError         `json:"error"`
 }
 
-func relayPaLM(openAIRequest GeneralOpenAIRequest, c *gin.Context) *OpenAIErrorWithStatusCode {
-	// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage
-	messages := make([]PaLMChatMessage, 0, len(openAIRequest.Messages))
-	for _, message := range openAIRequest.Messages {
-		var author string
-		if message.Role == "user" {
-			author = "0"
-		} else {
-			author = "1"
+func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
+	palmRequest := PaLMChatRequest{
+		Prompt: PaLMPrompt{
+			Messages: make([]PaLMChatMessage, 0, len(textRequest.Messages)),
+		},
+		Temperature:    textRequest.Temperature,
+		CandidateCount: textRequest.N,
+		TopP:           textRequest.TopP,
+		TopK:           textRequest.MaxTokens,
 	}
-		messages = append(messages, PaLMChatMessage{
-			Author:  author,
+	for _, message := range textRequest.Messages {
+		palmMessage := PaLMChatMessage{
 			Content: message.Content,
+		}
+		if message.Role == "user" {
+			palmMessage.Author = "0"
+		} else {
+			palmMessage.Author = "1"
+		}
+		palmRequest.Prompt.Messages = append(palmRequest.Prompt.Messages, palmMessage)
+	}
+	return &palmRequest
+}
+
+func responsePaLM2OpenAI(response *PaLMChatResponse) *OpenAITextResponse {
+	fullTextResponse := OpenAITextResponse{
+		Choices: make([]OpenAITextResponseChoice, 0, len(response.Candidates)),
+	}
+	for i, candidate := range response.Candidates {
+		choice := OpenAITextResponseChoice{
+			Index: i,
+			Message: Message{
+				Role:    "assistant",
+				Content: candidate.Content,
+			},
+			FinishReason: "stop",
+		}
+		fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
+	}
+	return &fullTextResponse
+}
+
+func streamResponsePaLM2OpenAI(palmResponse *PaLMChatResponse) *ChatCompletionsStreamResponse {
+	var choice ChatCompletionsStreamResponseChoice
+	if len(palmResponse.Candidates) > 0 {
+		choice.Delta.Content = palmResponse.Candidates[0].Content
+	}
+	choice.FinishReason = "stop"
+	var response ChatCompletionsStreamResponse
+	response.Object = "chat.completion.chunk"
+	response.Model = "palm2"
+	response.Choices = []ChatCompletionsStreamResponseChoice{choice}
+	return &response
+}
+
+func palmStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
+	responseText := ""
+	responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
+	createdTime := common.GetTimestamp()
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		responseBody, err := io.ReadAll(resp.Body)
+		if err != nil {
+			common.SysError("error reading stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		err = resp.Body.Close()
+		if err != nil {
+			common.SysError("error closing stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		var palmResponse PaLMChatResponse
+		err = json.Unmarshal(responseBody, &palmResponse)
+		if err != nil {
+			common.SysError("error unmarshalling stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse)
+		fullTextResponse.Id = responseId
+		fullTextResponse.Created = createdTime
+		if len(palmResponse.Candidates) > 0 {
+			responseText = palmResponse.Candidates[0].Content
+		}
+		jsonResponse, err := json.Marshal(fullTextResponse)
+		if err != nil {
+			common.SysError("error marshalling stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		dataChan <- string(jsonResponse)
+		stopChan <- true
+	}()
+	c.Writer.Header().Set("Content-Type", "text/event-stream")
+	c.Writer.Header().Set("Cache-Control", "no-cache")
+	c.Writer.Header().Set("Connection", "keep-alive")
+	c.Writer.Header().Set("Transfer-Encoding", "chunked")
+	c.Writer.Header().Set("X-Accel-Buffering", "no")
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			c.Render(-1, common.CustomEvent{Data: "data: " + data})
+			return true
+		case <-stopChan:
+			c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
+			return false
+		}
 	})
+	err := resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
 	}
-	request := PaLMChatRequest{
-		Prompt:         nil,
-		Temperature:    openAIRequest.Temperature,
-		CandidateCount: openAIRequest.N,
-		TopP:           openAIRequest.TopP,
-		TopK:           openAIRequest.MaxTokens,
+	return nil, responseText
 }
-	// TODO: forward request to PaLM & convert response
-	fmt.Print(request)
-	return nil
+
+func palmHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	var palmResponse PaLMChatResponse
+	err = json.Unmarshal(responseBody, &palmResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if palmResponse.Error.Code != 0 || len(palmResponse.Candidates) == 0 {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: palmResponse.Error.Message,
+				Type:    palmResponse.Error.Status,
+				Param:   "",
+				Code:    palmResponse.Error.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responsePaLM2OpenAI(&palmResponse)
+	completionTokens := countTokenText(palmResponse.Candidates[0].Content, model)
+	usage := Usage{
+		PromptTokens:     promptTokens,
+		CompletionTokens: completionTokens,
+		TotalTokens:      promptTokens + completionTokens,
+	}
+	fullTextResponse.Usage = usage
+	jsonResponse, err := json.Marshal(fullTextResponse)
+	if err != nil {
+		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	c.Writer.Header().Set("Content-Type", "application/json")
+	c.Writer.WriteHeader(resp.StatusCode)
+	_, err = c.Writer.Write(jsonResponse)
+	return nil, &usage
 }

controller/relay-text.go

@@ -1,17 +1,25 @@
 package controller
 
 import (
-	"bufio"
 	"bytes"
 	"encoding/json"
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
 	"strings"
+
+	"github.com/gin-gonic/gin"
+)
+
+const (
+	APITypeOpenAI = iota
+	APITypeClaude
+	APITypePaLM
+	APITypeBaidu
+	APITypeZhipu
 )
 
 func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
@@ -30,6 +38,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	if relayMode == RelayModeModerations && textRequest.Model == "" {
 		textRequest.Model = "text-moderation-latest"
 	}
+	if relayMode == RelayModeEmbeddings && textRequest.Model == "" {
+		textRequest.Model = c.Param("model")
+	}
 	// request validation
 	if textRequest.Model == "" {
 		return errorWrapper(errors.New("model is required"), "required_field_missing", http.StatusBadRequest)
@@ -67,12 +78,24 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			isModelMapped = true
 		}
 	}
+	apiType := APITypeOpenAI
+	if strings.HasPrefix(textRequest.Model, "claude") {
+		apiType = APITypeClaude
+	} else if strings.HasPrefix(textRequest.Model, "ERNIE") {
+		apiType = APITypeBaidu
+	} else if strings.HasPrefix(textRequest.Model, "PaLM") {
+		apiType = APITypePaLM
+	} else if strings.HasPrefix(textRequest.Model, "chatglm_") {
+		apiType = APITypeZhipu
+	}
 	baseURL := common.ChannelBaseURLs[channelType]
 	requestURL := c.Request.URL.String()
 	if c.GetString("base_url") != "" {
 		baseURL = c.GetString("base_url")
 	}
 	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
+	switch apiType {
+	case APITypeOpenAI:
 		if channelType == common.ChannelTypeAzure {
 			// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api
 			query := c.Request.URL.Query()
@@ -91,9 +114,35 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			model_ = strings.TrimSuffix(model_, "-0314")
 			model_ = strings.TrimSuffix(model_, "-0613")
 			fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task)
-	} else if channelType == common.ChannelTypePaLM {
-		err := relayPaLM(textRequest, c)
-		return err
+		}
+	case APITypeClaude:
+		fullRequestURL = "https://api.anthropic.com/v1/complete"
+		if baseURL != "" {
+			fullRequestURL = fmt.Sprintf("%s/v1/complete", baseURL)
+		}
+	case APITypeBaidu:
+		switch textRequest.Model {
+		case "ERNIE-Bot":
+			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions"
+		case "ERNIE-Bot-turbo":
+			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant"
+		case "BLOOMZ-7B":
+			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/bloomz_7b1"
+		}
+		apiKey := c.Request.Header.Get("Authorization")
+		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
+		fullRequestURL += "?access_token=" + apiKey // TODO: access token expire in 30 days
+	case APITypePaLM:
+		fullRequestURL = "https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage"
+		apiKey := c.Request.Header.Get("Authorization")
+		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
+		fullRequestURL += "?key=" + apiKey
+	case APITypeZhipu:
+		method := "invoke"
+		if textRequest.Stream {
+			method = "sse-invoke"
+		}
+		fullRequestURL = fmt.Sprintf("https://open.bigmodel.cn/api/paas/v3/model-api/%s/%s", textRequest.Model, method)
 	}
 	var promptTokens int
 	var completionTokens int
@@ -138,20 +187,63 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	} else {
 		requestBody = c.Request.Body
 	}
+	switch apiType {
+	case APITypeClaude:
+		claudeRequest := requestOpenAI2Claude(textRequest)
+		jsonStr, err := json.Marshal(claudeRequest)
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeBaidu:
+		baiduRequest := requestOpenAI2Baidu(textRequest)
+		jsonStr, err := json.Marshal(baiduRequest)
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypePaLM:
+		palmRequest := requestOpenAI2PaLM(textRequest)
+		jsonStr, err := json.Marshal(palmRequest)
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeZhipu:
+		zhipuRequest := requestOpenAI2Zhipu(textRequest)
+		jsonStr, err := json.Marshal(zhipuRequest)
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	}
 	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
 	if err != nil {
 		return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
 	}
+	apiKey := c.Request.Header.Get("Authorization")
+	apiKey = strings.TrimPrefix(apiKey, "Bearer ")
+	switch apiType {
+	case APITypeOpenAI:
 		if channelType == common.ChannelTypeAzure {
-		key := c.Request.Header.Get("Authorization")
-		key = strings.TrimPrefix(key, "Bearer ")
-		req.Header.Set("api-key", key)
+			req.Header.Set("api-key", apiKey)
 		} else {
 			req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
 		}
+	case APITypeClaude:
+		req.Header.Set("x-api-key", apiKey)
+		anthropicVersion := c.Request.Header.Get("anthropic-version")
+		if anthropicVersion == "" {
+			anthropicVersion = "2023-06-01"
+		}
+		req.Header.Set("anthropic-version", anthropicVersion)
+	case APITypeZhipu:
+		token := getZhipuToken(apiKey)
+		req.Header.Set("Authorization", token)
+	}
 	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"))
+	//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
 	client := &http.Client{}
 	resp, err := client.Do(req)
 	if err != nil {
@@ -179,11 +271,15 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if strings.HasPrefix(textRequest.Model, "gpt-4") {
 				completionRatio = 2
 			}
-			if isStream {
+			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)
@@ -215,123 +311,102 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 		}
 	}()
-
+	switch apiType {
+	case APITypeOpenAI:
 		if isStream {
-		scanner := bufio.NewScanner(resp.Body)
-		scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
-			if atEOF && len(data) == 0 {
-				return 0, nil, nil
-			}
-
-			if i := strings.Index(string(data), "\n\n"); i >= 0 {
-				return i + 2, data[0:i], nil
-			}
-
-			if atEOF {
-				return len(data), data, nil
-			}
-
-			return 0, nil, nil
-		})
-		dataChan := make(chan string)
-		stopChan := make(chan bool)
-		go func() {
-			for scanner.Scan() {
-				data := scanner.Text()
-				if len(data) < 6 { // must be something wrong!
-					common.SysError("invalid stream response: " + data)
-					continue
-				}
-				dataChan <- data
-				data = data[6:]
-				if !strings.HasPrefix(data, "[DONE]") {
-					switch relayMode {
-					case RelayModeChatCompletions:
-						var streamResponse ChatCompletionsStreamResponse
-						err = json.Unmarshal([]byte(data), &streamResponse)
+			err, responseText := openaiStreamHandler(c, resp, relayMode)
 			if err != nil {
-							common.SysError("error unmarshalling stream response: " + err.Error())
-							return
+				return err
 			}
-						for _, choice := range streamResponse.Choices {
-							streamResponseText += choice.Delta.Content
-						}
-					case RelayModeCompletions:
-						var streamResponse CompletionsStreamResponse
-						err = json.Unmarshal([]byte(data), &streamResponse)
+			streamResponseText = responseText
+			return nil
+		} else {
+			err, usage := openaiHandler(c, resp, consumeQuota)
 			if err != nil {
-							common.SysError("error unmarshalling stream response: " + err.Error())
-							return
+				return err
 			}
-						for _, choice := range streamResponse.Choices {
-							streamResponseText += choice.Text
+			if usage != nil {
+				textResponse.Usage = *usage
 			}
+			return nil
 		}
-				}
-			}
-			stopChan <- true
-		}()
-		c.Writer.Header().Set("Content-Type", "text/event-stream")
-		c.Writer.Header().Set("Cache-Control", "no-cache")
-		c.Writer.Header().Set("Connection", "keep-alive")
-		c.Writer.Header().Set("Transfer-Encoding", "chunked")
-		c.Writer.Header().Set("X-Accel-Buffering", "no")
-		c.Stream(func(w io.Writer) bool {
-			select {
-			case data := <-dataChan:
-				if strings.HasPrefix(data, "data: [DONE]") {
-					data = data[:12]
-				}
-				c.Render(-1, common.CustomEvent{Data: data})
-				return true
-			case <-stopChan:
-				return false
-			}
-		})
-		err = resp.Body.Close()
+	case APITypeClaude:
+		if isStream {
+			err, responseText := claudeStreamHandler(c, resp)
 			if err != nil {
-			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+				return err
+			}
+			streamResponseText = responseText
+			return nil
+		} else {
+			err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeBaidu:
+		if isStream {
+			err, usage := baiduStreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
 			}
 			return nil
 		} else {
-		if consumeQuota {
-			responseBody, err := io.ReadAll(resp.Body)
+			err, usage := baiduHandler(c, resp)
 			if err != nil {
-				return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+				return err
 			}
-			err = resp.Body.Close()
-			if err != nil {
-				return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
-			}
-			err = json.Unmarshal(responseBody, &textResponse)
-			if err != nil {
-				return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
-			}
-			if textResponse.Error.Type != "" {
-				return &OpenAIErrorWithStatusCode{
-					OpenAIError: textResponse.Error,
-					StatusCode:  resp.StatusCode,
-				}
-			}
-			// Reset response body
-			resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
-		}
-		// We shouldn't set the header before we parse the response body, because the parse part may fail.
-		// And then we will have to send an error response, but in this case, the header has already been set.
-		// So the client will be confused by the response.
-		// For example, Postman will report error, and we cannot check the response at all.
-		for k, v := range resp.Header {
-			c.Writer.Header().Set(k, v[0])
-		}
-		c.Writer.WriteHeader(resp.StatusCode)
-		_, err = io.Copy(c.Writer, resp.Body)
-		if err != nil {
-			return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
-		}
-		err = resp.Body.Close()
-		if err != nil {
-			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+			if usage != nil {
+				textResponse.Usage = *usage
 			}
 			return nil
 		}
+	case APITypePaLM:
+		if textRequest.Stream { // PaLM2 API does not support stream
+			err, responseText := palmStreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			streamResponseText = responseText
+			return nil
+		} else {
+			err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeZhipu:
+		if isStream {
+			err, usage := zhipuStreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		} else {
+			err, usage := zhipuHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	default:
+		return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
+	}
 }

controller/relay-utils.go

@@ -4,7 +4,6 @@ import (
 	"fmt"
 	"github.com/pkoukk/tiktoken-go"
 	"one-api/common"
-	"strings"
 )
 
 var tokenEncoderMap = map[string]*tiktoken.Tiktoken{}
@@ -25,6 +24,13 @@ func getTokenEncoder(model string) *tiktoken.Tiktoken {
 	return tokenEncoder
 }
 
+func getTokenNum(tokenEncoder *tiktoken.Tiktoken, text string) int {
+	if common.ApproximateTokenEnabled {
+		return int(float64(len(text)) * 0.38)
+	}
+	return len(tokenEncoder.Encode(text, nil, nil))
+}
+
 func countTokenMessages(messages []Message, model string) int {
 	tokenEncoder := getTokenEncoder(model)
 	// Reference:
@@ -34,12 +40,9 @@ func countTokenMessages(messages []Message, model string) int {
 	// Every message follows <|start|>{role/name}\n{content}<|end|>\n
 	var tokensPerMessage int
 	var tokensPerName int
-	if strings.HasPrefix(model, "gpt-3.5") {
+	if model == "gpt-3.5-turbo-0301" {
 		tokensPerMessage = 4
 		tokensPerName = -1 // If there's a name, the role is omitted
-	} else if strings.HasPrefix(model, "gpt-4") {
-		tokensPerMessage = 3
-		tokensPerName = 1
 	} else {
 		tokensPerMessage = 3
 		tokensPerName = 1
@@ -47,11 +50,11 @@ func countTokenMessages(messages []Message, model string) int {
 	tokenNum := 0
 	for _, message := range messages {
 		tokenNum += tokensPerMessage
-		tokenNum += len(tokenEncoder.Encode(message.Content, nil, nil))
-		tokenNum += len(tokenEncoder.Encode(message.Role, nil, nil))
+		tokenNum += getTokenNum(tokenEncoder, message.Content)
+		tokenNum += getTokenNum(tokenEncoder, message.Role)
 		if message.Name != nil {
 			tokenNum += tokensPerName
-			tokenNum += len(tokenEncoder.Encode(*message.Name, nil, nil))
+			tokenNum += getTokenNum(tokenEncoder, *message.Name)
 		}
 	}
 	tokenNum += 3 // Every reply is primed with <|start|>assistant<|message|>
@@ -74,8 +77,7 @@ func countTokenInput(input any, model string) int {
 
 func countTokenText(text string, model string) int {
 	tokenEncoder := getTokenEncoder(model)
-	token := tokenEncoder.Encode(text, nil, nil)
-	return len(token)
+	return getTokenNum(tokenEncoder, text)
 }
 
 func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatusCode {
@@ -89,3 +91,16 @@ func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatus
 		StatusCode:  statusCode,
 	}
 }
+
+func shouldDisableChannel(err *OpenAIError) bool {
+	if !common.AutomaticDisableChannelEnabled {
+		return false
+	}
+	if err == nil {
+		return false
+	}
+	if err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated" {
+		return true
+	}
+	return false
+}

controller/relay-zhipu.go

@@ -0,0 +1,290 @@
+package controller
+
+import (
+	"bufio"
+	"encoding/json"
+	"github.com/gin-gonic/gin"
+	"github.com/golang-jwt/jwt"
+	"io"
+	"net/http"
+	"one-api/common"
+	"strings"
+	"sync"
+	"time"
+)
+
+// https://open.bigmodel.cn/doc/api#chatglm_std
+// chatglm_std, chatglm_lite
+// https://open.bigmodel.cn/api/paas/v3/model-api/chatglm_std/invoke
+// https://open.bigmodel.cn/api/paas/v3/model-api/chatglm_std/sse-invoke
+
+type ZhipuMessage struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type ZhipuRequest struct {
+	Prompt      []ZhipuMessage `json:"prompt"`
+	Temperature float64        `json:"temperature,omitempty"`
+	TopP        float64        `json:"top_p,omitempty"`
+	RequestId   string         `json:"request_id,omitempty"`
+	Incremental bool           `json:"incremental,omitempty"`
+}
+
+type ZhipuResponseData struct {
+	TaskId     string         `json:"task_id"`
+	RequestId  string         `json:"request_id"`
+	TaskStatus string         `json:"task_status"`
+	Choices    []ZhipuMessage `json:"choices"`
+	Usage      `json:"usage"`
+}
+
+type ZhipuResponse struct {
+	Code    int               `json:"code"`
+	Msg     string            `json:"msg"`
+	Success bool              `json:"success"`
+	Data    ZhipuResponseData `json:"data"`
+}
+
+type ZhipuStreamMetaResponse struct {
+	RequestId  string `json:"request_id"`
+	TaskId     string `json:"task_id"`
+	TaskStatus string `json:"task_status"`
+	Usage      `json:"usage"`
+}
+
+type zhipuTokenData struct {
+	Token      string
+	ExpiryTime time.Time
+}
+
+var zhipuTokens sync.Map
+var expSeconds int64 = 24 * 3600
+
+func getZhipuToken(apikey string) string {
+	data, ok := zhipuTokens.Load(apikey)
+	if ok {
+		tokenData := data.(zhipuTokenData)
+		if time.Now().Before(tokenData.ExpiryTime) {
+			return tokenData.Token
+		}
+	}
+
+	split := strings.Split(apikey, ".")
+	if len(split) != 2 {
+		common.SysError("invalid zhipu key: " + apikey)
+		return ""
+	}
+
+	id := split[0]
+	secret := split[1]
+
+	expMillis := time.Now().Add(time.Duration(expSeconds)*time.Second).UnixNano() / 1e6
+	expiryTime := time.Now().Add(time.Duration(expSeconds) * time.Second)
+
+	timestamp := time.Now().UnixNano() / 1e6
+
+	payload := jwt.MapClaims{
+		"api_key":   id,
+		"exp":       expMillis,
+		"timestamp": timestamp,
+	}
+
+	token := jwt.NewWithClaims(jwt.SigningMethodHS256, payload)
+
+	token.Header["alg"] = "HS256"
+	token.Header["sign_type"] = "SIGN"
+
+	tokenString, err := token.SignedString([]byte(secret))
+	if err != nil {
+		return ""
+	}
+
+	zhipuTokens.Store(apikey, zhipuTokenData{
+		Token:      tokenString,
+		ExpiryTime: expiryTime,
+	})
+
+	return tokenString
+}
+
+func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
+	messages := make([]ZhipuMessage, 0, len(request.Messages))
+	for _, message := range request.Messages {
+		messages = append(messages, ZhipuMessage{
+			Role:    message.Role,
+			Content: message.Content,
+		})
+	}
+	return &ZhipuRequest{
+		Prompt:      messages,
+		Temperature: request.Temperature,
+		TopP:        request.TopP,
+		Incremental: false,
+	}
+}
+
+func responseZhipu2OpenAI(response *ZhipuResponse) *OpenAITextResponse {
+	fullTextResponse := OpenAITextResponse{
+		Id:      response.Data.TaskId,
+		Object:  "chat.completion",
+		Created: common.GetTimestamp(),
+		Choices: make([]OpenAITextResponseChoice, 0, len(response.Data.Choices)),
+		Usage:   response.Data.Usage,
+	}
+	for i, choice := range response.Data.Choices {
+		openaiChoice := OpenAITextResponseChoice{
+			Index: i,
+			Message: Message{
+				Role:    choice.Role,
+				Content: strings.Trim(choice.Content, "\""),
+			},
+			FinishReason: "",
+		}
+		if i == len(response.Data.Choices)-1 {
+			openaiChoice.FinishReason = "stop"
+		}
+		fullTextResponse.Choices = append(fullTextResponse.Choices, openaiChoice)
+	}
+	return &fullTextResponse
+}
+
+func streamResponseZhipu2OpenAI(zhipuResponse string) *ChatCompletionsStreamResponse {
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = zhipuResponse
+	choice.FinishReason = ""
+	response := ChatCompletionsStreamResponse{
+		Object:  "chat.completion.chunk",
+		Created: common.GetTimestamp(),
+		Model:   "chatglm",
+		Choices: []ChatCompletionsStreamResponseChoice{choice},
+	}
+	return &response
+}
+
+func streamMetaResponseZhipu2OpenAI(zhipuResponse *ZhipuStreamMetaResponse) (*ChatCompletionsStreamResponse, *Usage) {
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = ""
+	choice.FinishReason = "stop"
+	response := ChatCompletionsStreamResponse{
+		Id:      zhipuResponse.RequestId,
+		Object:  "chat.completion.chunk",
+		Created: common.GetTimestamp(),
+		Model:   "chatglm",
+		Choices: []ChatCompletionsStreamResponseChoice{choice},
+	}
+	return &response, &zhipuResponse.Usage
+}
+
+func zhipuStreamHandler(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)
+	metaChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		for scanner.Scan() {
+			data := scanner.Text()
+			data = strings.Trim(data, "\"")
+			if len(data) < 5 { // ignore blank line or wrong format
+				continue
+			}
+			if data[:5] == "data:" {
+				dataChan <- data[5:]
+			} else if data[:5] == "meta:" {
+				metaChan <- data[5:]
+			}
+		}
+		stopChan <- true
+	}()
+	c.Writer.Header().Set("Content-Type", "text/event-stream")
+	c.Writer.Header().Set("Cache-Control", "no-cache")
+	c.Writer.Header().Set("Connection", "keep-alive")
+	c.Writer.Header().Set("Transfer-Encoding", "chunked")
+	c.Writer.Header().Set("X-Accel-Buffering", "no")
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			response := streamResponseZhipu2OpenAI(data)
+			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 data := <-metaChan:
+			var zhipuResponse ZhipuStreamMetaResponse
+			err := json.Unmarshal([]byte(data), &zhipuResponse)
+			if err != nil {
+				common.SysError("error unmarshalling stream response: " + err.Error())
+				return true
+			}
+			response, zhipuUsage := streamMetaResponseZhipu2OpenAI(&zhipuResponse)
+			jsonResponse, err := json.Marshal(response)
+			if err != nil {
+				common.SysError("error marshalling stream response: " + err.Error())
+				return true
+			}
+			usage = zhipuUsage
+			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 zhipuHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var zhipuResponse ZhipuResponse
+	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, &zhipuResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if !zhipuResponse.Success {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: zhipuResponse.Msg,
+				Type:    "zhipu_error",
+				Param:   "",
+				Code:    zhipuResponse.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responseZhipu2OpenAI(&zhipuResponse)
+	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
+}

controller/relay.go

@@ -2,10 +2,12 @@ package controller
 
 import (
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"net/http"
 	"one-api/common"
+	"strconv"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Message struct {
@@ -37,6 +39,7 @@ type GeneralOpenAIRequest struct {
 	N           int       `json:"n,omitempty"`
 	Input       any       `json:"input,omitempty"`
 	Instruction string    `json:"instruction,omitempty"`
+	Size        string    `json:"size,omitempty"`
 }
 
 type ChatRequest struct {
@@ -53,6 +56,12 @@ type TextRequest struct {
 	//Stream   bool      `json:"stream"`
 }
 
+type ImageRequest struct {
+	Prompt string `json:"prompt"`
+	N      int    `json:"n"`
+	Size   string `json:"size"`
+}
+
 type Usage struct {
 	PromptTokens     int `json:"prompt_tokens"`
 	CompletionTokens int `json:"completion_tokens"`
@@ -76,13 +85,40 @@ type TextResponse struct {
 	Error OpenAIError `json:"error"`
 }
 
-type ChatCompletionsStreamResponse struct {
-	Choices []struct {
+type OpenAITextResponseChoice struct {
+	Index        int `json:"index"`
+	Message      `json:"message"`
+	FinishReason string `json:"finish_reason"`
+}
+
+type OpenAITextResponse struct {
+	Id      string                     `json:"id"`
+	Object  string                     `json:"object"`
+	Created int64                      `json:"created"`
+	Choices []OpenAITextResponseChoice `json:"choices"`
+	Usage   `json:"usage"`
+}
+
+type ImageResponse struct {
+	Created int `json:"created"`
+	Data    []struct {
+		Url string `json:"url"`
+	}
+}
+
+type ChatCompletionsStreamResponseChoice struct {
 	Delta struct {
 		Content string `json:"content"`
 	} `json:"delta"`
-		FinishReason string `json:"finish_reason"`
-	} `json:"choices"`
+	FinishReason string `json:"finish_reason,omitempty"`
+}
+
+type ChatCompletionsStreamResponse struct {
+	Id      string                                `json:"id"`
+	Object  string                                `json:"object"`
+	Created int64                                 `json:"created"`
+	Model   string                                `json:"model"`
+	Choices []ChatCompletionsStreamResponseChoice `json:"choices"`
 }
 
 type CompletionsStreamResponse struct {
@@ -100,6 +136,8 @@ func Relay(c *gin.Context) {
 		relayMode = RelayModeCompletions
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/embeddings") {
 		relayMode = RelayModeEmbeddings
+	} else if strings.HasSuffix(c.Request.URL.Path, "embeddings") {
+		relayMode = RelayModeEmbeddings
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/moderations") {
 		relayMode = RelayModeModerations
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
@@ -115,16 +153,25 @@ func Relay(c *gin.Context) {
 		err = relayTextHelper(c, relayMode)
 	}
 	if err != nil {
+		retryTimesStr := c.Query("retry")
+		retryTimes, _ := strconv.Atoi(retryTimesStr)
+		if retryTimesStr == "" {
+			retryTimes = common.RetryTimes
+		}
+		if retryTimes > 0 {
+			c.Redirect(http.StatusTemporaryRedirect, fmt.Sprintf("%s?retry=%d", c.Request.URL.Path, retryTimes-1))
+		} else {
 			if err.StatusCode == http.StatusTooManyRequests {
 				err.OpenAIError.Message = "当前分组负载已饱和，请稍后再试，或升级账户以提升服务质量。"
 			}
 			c.JSON(err.StatusCode, gin.H{
 				"error": err.OpenAIError,
 			})
+		}
 		channelId := c.GetInt("channel_id")
 		common.SysError(fmt.Sprintf("relay error (channel #%d): %s", channelId, err.Message))
 		// https://platform.openai.com/docs/guides/error-codes/api-errors
-		if common.AutomaticDisableChannelEnabled && (err.Type == "insufficient_quota" || err.Code == "invalid_api_key") {
+		if shouldDisableChannel(&err.OpenAIError) {
 			channelId := c.GetInt("channel_id")
 			channelName := c.GetString("channel_name")
 			disableChannel(channelId, channelName, err.Message)

controller/token.go

@@ -180,10 +180,10 @@ func UpdateToken(c *gin.Context) {
 		return
 	}
 	if token.Status == common.TokenStatusEnabled {
-		if cleanToken.Status == common.TokenStatusExpired && cleanToken.ExpiredTime <= common.GetTimestamp() {
+		if cleanToken.Status == common.TokenStatusExpired && cleanToken.ExpiredTime <= common.GetTimestamp() && cleanToken.ExpiredTime != -1 {
 			c.JSON(http.StatusOK, gin.H{
 				"success": false,
-				"message": "令牌已过期，无法启用，请先修改令牌过期时间",
+				"message": "令牌已过期，无法启用，请先修改令牌过期时间，或者设置为永不过期",
 			})
 			return
 		}

go.mod

@@ -11,6 +11,7 @@ require (
 	github.com/gin-gonic/gin v1.9.1
 	github.com/go-playground/validator/v10 v10.14.0
 	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/pkoukk/tiktoken-go v0.1.1
 	golang.org/x/crypto v0.9.0
@@ -20,7 +21,6 @@ require (
 )
 
 require (
-	github.com/boj/redistore v0.0.0-20180917114910-cd5dcc76aeff // indirect
 	github.com/bytedance/sonic v1.9.1 // indirect
 	github.com/cespare/xxhash/v2 v2.1.2 // indirect
 	github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 // indirect
@@ -32,7 +32,6 @@ require (
 	github.com/go-playground/universal-translator v0.18.1 // indirect
 	github.com/go-sql-driver/mysql v1.6.0 // indirect
 	github.com/goccy/go-json v0.10.2 // indirect
-	github.com/gomodule/redigo v2.0.0+incompatible // indirect
 	github.com/gorilla/context v1.1.1 // indirect
 	github.com/gorilla/securecookie v1.1.1 // indirect
 	github.com/gorilla/sessions v1.2.1 // indirect

go.sum

@@ -1,5 +1,3 @@
-github.com/boj/redistore v0.0.0-20180917114910-cd5dcc76aeff h1:RmdPFa+slIr4SCBg4st/l/vZWVe9QJKMXGO60Bxbe04=
-github.com/boj/redistore v0.0.0-20180917114910-cd5dcc76aeff/go.mod h1:+RTT1BOk5P97fT2CiHkbFQwkK3mjsFAP6zCYV2aXtjw=
 github.com/bytedance/sonic v1.5.0/go.mod h1:ED5hyg4y6t3/9Ku1R6dU/4KyJ48DZ4jPhfY1O2AihPM=
 github.com/bytedance/sonic v1.9.1 h1:6iJ6NqdoxCDr6mbY8h18oSO+cShGSMRGCEo7F2h0x8s=
 github.com/bytedance/sonic v1.9.1/go.mod h1:i736AoUSYt75HyZLoJW9ERYxcy6eaN6h4BZXU064P/U=
@@ -54,10 +52,10 @@ github.com/go-sql-driver/mysql v1.6.0/go.mod h1:DCzpHaOWr8IXmIStZouvnhqoel9Qv2LB
 github.com/goccy/go-json v0.9.7/go.mod h1:6MelG93GURQebXPDq3khkgXZkazVtN9CRI+MGFi0w8I=
 github.com/goccy/go-json v0.10.2 h1:CrxCmQqYDkv1z7lO7Wbh2HN93uovUHgrECaO5ZrCXAU=
 github.com/goccy/go-json v0.10.2/go.mod h1:6MelG93GURQebXPDq3khkgXZkazVtN9CRI+MGFi0w8I=
+github.com/golang-jwt/jwt v3.2.2+incompatible h1:IfV12K8xAKAnZqdXVzCZ+TOjboZ2keLg81eXfW3O+oY=
+github.com/golang-jwt/jwt v3.2.2+incompatible/go.mod h1:8pz2t5EyA70fFQQSrl6XZXzqecmYZeUEB8OUGHkxJ+I=
 github.com/golang/protobuf v1.3.3/go.mod h1:vzj43D7+SQXF/4pzW/hwtAqwc6iTitCiVSaWz5lYuqw=
 github.com/golang/protobuf v1.5.0/go.mod h1:FsONVRAS9T7sI+LIUmWTfcYkHO4aIWwzhcaSAoJOfIk=
-github.com/gomodule/redigo v2.0.0+incompatible h1:K/R+8tc58AaqLkqG2Ol3Qk+DR/TlNuhuh457pBFPtt0=
-github.com/gomodule/redigo v2.0.0+incompatible/go.mod h1:B4C85qUVwatsJoIUNIfCRsp7qO0iAmpGFZ4EELWSbC4=
 github.com/google/go-cmp v0.5.5 h1:Khx7svrCpmxxtHBq5j2mp/xVjsi8hQMfNLvJFAlrGgU=
 github.com/google/go-cmp v0.5.5/go.mod h1:v8dTdLbMG2kIc/vJvl+f65V22dbkXbowE6jgT/gNBxE=
 github.com/google/gofuzz v1.0.0/go.mod h1:dBl0BpW6vV/+mYPU4Po3pmUjxk6FQPldtuIdl/M65Eg=
@@ -67,7 +65,6 @@ github.com/gorilla/context v1.1.1 h1:AWwleXJkX/nhcU9bZSnZoi3h/qGYqQAGhq6zZe/aQW8
 github.com/gorilla/context v1.1.1/go.mod h1:kBGZzfjB9CEq2AlWe17Uuf7NDRt0dE0s8S51q0aT7Yg=
 github.com/gorilla/securecookie v1.1.1 h1:miw7JPhV+b/lAHSXz4qd/nN9jRiAFV5FwjeKyCS8BvQ=
 github.com/gorilla/securecookie v1.1.1/go.mod h1:ra0sb63/xPlUeL+yeDciTfxMRAA+MP+HVt/4epWDjd4=
-github.com/gorilla/sessions v1.1.1/go.mod h1:8KCfur6+4Mqcc6S0FEfKuN15Vl5MgXW92AE8ovaJD0w=
 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/jinzhu/inflection v1.0.0 h1:K317FqzuhWc8YvSVlFMCCUb36O/S9MCKRDI7QkRKD/E=

i18n/en.json

@@ -36,7 +36,7 @@
   "通过令牌「%s」使用模型 %s 消耗 %s（模型倍率 %.2f，分组倍率 %.2f）": "Using model %s with token %s consumes %s (model rate %.2f, group rate %.2f)",
   "当前分组负载已饱和，请稍后再试，或升级账户以提升服务质量。": "The current group load is saturated, please try again later, or upgrade your account to improve service quality.",
   "令牌名称长度必须在1-20之间": "The length of the token name must be between 1-20",
-  "令牌已过期，无法启用，请先修改令牌过期时间": "The token has expired and cannot be enabled. Please modify the token expiration time first",
+  "令牌已过期，无法启用，请先修改令牌过期时间，或者设置为永不过期": "The token has expired and cannot be enabled. Please modify the expiration time of the token, or set it to never expire.",
   "令牌可用额度已用尽，无法启用，请先修改令牌剩余额度，或者设置为无限额度": "The available quota of the token has been used up and cannot be enabled. Please modify the remaining quota of the token, or set it to unlimited quota",
   "管理员关闭了密码登录": "The administrator has turned off password login",
   "无法保存会话信息，请重试": "Unable to save session information, please try again",
@@ -107,6 +107,11 @@
   "已禁用": "Disabled",
   "未知状态": "Unknown status",
   " 秒": "s",
+  " 分钟 ": " m ",
+  " 小时 ": " h ",
+  " 天 ": " d ",
+  " 个月 ": " M ",
+  " 年 ": " y ",
   "未测试": "Not tested",
   "通道 ${name} 测试成功，耗时 ${time.toFixed(2)} 秒。": "Channel ${name} test succeeded, time consumed ${time.toFixed(2)} s.",
   "已成功开始测试所有已启用通道，请刷新页面查看结果。": "All enabled channels have been successfully tested, please refresh the page to view the results.",
@@ -458,5 +463,45 @@
   "消耗额度": "Used Quota",
   "可选值": "Optional Values",
   "渠道不存在：%d": "Channel does not exist: %d",
-  "数据库一致性已被破坏，请联系管理员": "Database consistency has been broken, please contact the administrator"
+  "数据库一致性已被破坏，请联系管理员": "Database consistency has been broken, please contact the administrator",
+  "使用近似的方式估算 token 数以减少计算量": "Estimate the number of tokens in an approximate way to reduce computational load",
+  "请填写ChannelName和ChannelKey！": "Please fill in the ChannelName and ChannelKey!",
+  "请至少选择一个Model！": "Please select at least one Model!",
+  "加载首页内容失败": "Failed to load the homepage content",
+  "加载关于内容失败": "Failed to load the About content",
+  "兑换码更新成功！": "Redemption code updated successfully!",
+  "兑换码创建成功！": "Redemption code created successfully!",
+  "用户账户创建成功！": "User account created successfully!",
+  "生成数量": "Generate quantity",
+  "请输入生成数量": "Please enter the quantity to generate",
+  "创建新用户账户": "Create new user account",
+  "渠道更新成功！": "Channel updated successfully!",
+  "渠道创建成功！": "Channel created successfully!",
+  "请选择分组": "Please select a group",
+  "更新兑换码信息": "Update redemption code information",
+  "创建新的兑换码": "Create a new redemption code",
+  "请在系统设置页面编辑分组倍率以添加新的分组：": "Please edit the group ratio in the system settings page to add a new group:",
+  "未找到所请求的页面": "The requested page was not found",
+  "过期时间格式错误！": "Expiration time format error!",
+  "请输入过期时间，格式为 yyyy-MM-dd HH:mm:ss，-1 表示无限制": "Please enter the expiration time, the format is yyyy-MM-dd HH:mm:ss, -1 means no limit",
+  "此项可选，为一个 JSON 文本，键为用户请求的模型名称，值为要替换的模型名称，例如：": "This is optional, it's a JSON text, the key is the model name requested by the user, and the value is the model name to be replaced, for example:",
+  "此项可选，输入镜像站地址，格式为：": "This is optional, enter the mirror site address, the format is:",
+  "模型映射": "Model mapping",
+  "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": "Please enter the default API version, for example: 2023-03-15-preview, this configuration can be overridden by the actual request query parameters",
+  "默认": "Default",
+  "图片演示": "Image demo",
+  "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",
+  "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",
+  "请输入显示名称": "Please enter display name",
+  "请输入密码": "Please enter password",
+  "模型部署名称必须和模型名称保持一致": "The model deployment name must be consistent with the model name",
+  "，因为 One API 会把请求体中的 model": ", because One API will take the model in the request body",
+  "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"
 }

middleware/distributor.go

@@ -2,12 +2,13 @@ package middleware
 
 import (
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
 	"strconv"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type ModelRequest struct {
@@ -73,9 +74,19 @@ func Distribute() func(c *gin.Context) {
 					modelRequest.Model = "text-moderation-stable"
 				}
 			}
+			if strings.HasSuffix(c.Request.URL.Path, "embeddings") {
+				if modelRequest.Model == "" {
+					modelRequest.Model = c.Param("model")
+				}
+			}
+			if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
+				if modelRequest.Model == "" {
+					modelRequest.Model = "dall-e"
+				}
+			}
 			channel, err = model.CacheGetRandomSatisfiedChannel(userGroup, modelRequest.Model)
 			if err != nil {
-				message := "无可用渠道"
+				message := fmt.Sprintf("当前分组 %s 下对于模型 %s 无可用渠道", userGroup, modelRequest.Model)
 				if channel != nil {
 					common.SysError(fmt.Sprintf("渠道不存在：%d", channel.Id))
 					message = "数据库一致性已被破坏，请联系管理员"

model/channel.go

@@ -37,7 +37,7 @@ 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
+	err = DB.Omit("key").Where("id = ? or name LIKE ? or `key` = ?", keyword, keyword+"%", keyword).Find(&channels).Error
 	return channels, err
 }
 

model/option.go

@@ -34,6 +34,7 @@ func InitOptionMap() {
 	common.OptionMap["TurnstileCheckEnabled"] = strconv.FormatBool(common.TurnstileCheckEnabled)
 	common.OptionMap["RegisterEnabled"] = strconv.FormatBool(common.RegisterEnabled)
 	common.OptionMap["AutomaticDisableChannelEnabled"] = strconv.FormatBool(common.AutomaticDisableChannelEnabled)
+	common.OptionMap["ApproximateTokenEnabled"] = strconv.FormatBool(common.ApproximateTokenEnabled)
 	common.OptionMap["LogConsumeEnabled"] = strconv.FormatBool(common.LogConsumeEnabled)
 	common.OptionMap["DisplayInCurrencyEnabled"] = strconv.FormatBool(common.DisplayInCurrencyEnabled)
 	common.OptionMap["DisplayTokenStatEnabled"] = strconv.FormatBool(common.DisplayTokenStatEnabled)
@@ -67,6 +68,7 @@ func InitOptionMap() {
 	common.OptionMap["TopUpLink"] = common.TopUpLink
 	common.OptionMap["ChatLink"] = common.ChatLink
 	common.OptionMap["QuotaPerUnit"] = strconv.FormatFloat(common.QuotaPerUnit, 'f', -1, 64)
+	common.OptionMap["RetryTimes"] = strconv.Itoa(common.RetryTimes)
 	common.OptionMapRWMutex.Unlock()
 	loadOptionsFromDatabase()
 }
@@ -141,6 +143,8 @@ func updateOptionMap(key string, value string) (err error) {
 			common.RegisterEnabled = boolValue
 		case "AutomaticDisableChannelEnabled":
 			common.AutomaticDisableChannelEnabled = boolValue
+		case "ApproximateTokenEnabled":
+			common.ApproximateTokenEnabled = boolValue
 		case "LogConsumeEnabled":
 			common.LogConsumeEnabled = boolValue
 		case "DisplayInCurrencyEnabled":
@@ -193,6 +197,8 @@ func updateOptionMap(key string, value string) (err error) {
 		common.QuotaRemindThreshold, _ = strconv.Atoi(value)
 	case "PreConsumedQuota":
 		common.PreConsumedQuota, _ = strconv.Atoi(value)
+	case "RetryTimes":
+		common.RetryTimes, _ = strconv.Atoi(value)
 	case "ModelRatio":
 		err = common.UpdateModelRatioByJSONString(value)
 	case "GroupRatio":

model/redemption.go

@@ -3,6 +3,7 @@ package model
 import (
 	"errors"
 	"fmt"
+	"gorm.io/gorm"
 	"one-api/common"
 )
 
@@ -48,26 +49,27 @@ func Redeem(key string, userId int) (quota int, err error) {
 		return 0, errors.New("无效的 user id")
 	}
 	redemption := &Redemption{}
-	err = DB.Where("`key` = ?", key).First(redemption).Error
+
+	err = DB.Transaction(func(tx *gorm.DB) error {
+		err := DB.Where("`key` = ?", key).First(redemption).Error
 		if err != nil {
-		return 0, errors.New("无效的兑换码")
+			return errors.New("无效的兑换码")
 		}
 		if redemption.Status != common.RedemptionCodeStatusEnabled {
-		return 0, errors.New("该兑换码已被使用")
+			return errors.New("该兑换码已被使用")
 		}
-	err = IncreaseUserQuota(userId, redemption.Quota)
+		err = DB.Model(&User{}).Where("id = ?", userId).Update("quota", gorm.Expr("quota + ?", redemption.Quota)).Error
 		if err != nil {
-		return 0, err
+			return err
 		}
-	go func() {
 		redemption.RedeemedTime = common.GetTimestamp()
 		redemption.Status = common.RedemptionCodeStatusUsed
-		err := redemption.SelectUpdate()
+		return redemption.SelectUpdate()
+	})
 	if err != nil {
-			common.SysError("failed to update redemption status: " + err.Error())
+		return 0, errors.New("兑换失败，" + err.Error())
 	}
 	RecordLog(userId, LogTypeTopup, fmt.Sprintf("通过兑换码充值 %s", common.LogQuota(redemption.Quota)))
-	}()
 	return redemption.Quota, nil
 }
 

router/api-router.go

@@ -1,10 +1,11 @@
 package router
 
 import (
-	"github.com/gin-contrib/gzip"
-	"github.com/gin-gonic/gin"
 	"one-api/controller"
 	"one-api/middleware"
+
+	"github.com/gin-contrib/gzip"
+	"github.com/gin-gonic/gin"
 )
 
 func SetApiRouter(router *gin.Engine) {

router/main.go

@@ -5,6 +5,7 @@ import (
 	"fmt"
 	"github.com/gin-gonic/gin"
 	"net/http"
+	"one-api/common"
 	"os"
 	"strings"
 )
@@ -14,6 +15,10 @@ func SetRouter(router *gin.Engine, buildFS embed.FS, indexPage []byte) {
 	SetDashboardRouter(router)
 	SetRelayRouter(router)
 	frontendBaseUrl := os.Getenv("FRONTEND_BASE_URL")
+	if common.IsMasterNode && frontendBaseUrl != "" {
+		frontendBaseUrl = ""
+		common.SysLog("FRONTEND_BASE_URL is ignored on master node")
+	}
 	if frontendBaseUrl == "" {
 		SetWebRouter(router, buildFS, indexPage)
 	} else {

router/relay-router.go

@@ -1,9 +1,10 @@
 package router
 
 import (
-	"github.com/gin-gonic/gin"
 	"one-api/controller"
 	"one-api/middleware"
+
+	"github.com/gin-gonic/gin"
 )
 
 func SetRelayRouter(router *gin.Engine) {
@@ -20,10 +21,11 @@ func SetRelayRouter(router *gin.Engine) {
 		relayV1Router.POST("/completions", controller.Relay)
 		relayV1Router.POST("/chat/completions", controller.Relay)
 		relayV1Router.POST("/edits", controller.Relay)
-		relayV1Router.POST("/images/generations", controller.RelayNotImplemented)
+		relayV1Router.POST("/images/generations", controller.Relay)
 		relayV1Router.POST("/images/edits", controller.RelayNotImplemented)
 		relayV1Router.POST("/images/variations", controller.RelayNotImplemented)
 		relayV1Router.POST("/embeddings", controller.Relay)
+		relayV1Router.POST("/engines/:model/embeddings", controller.Relay)
 		relayV1Router.POST("/audio/transcriptions", controller.RelayNotImplemented)
 		relayV1Router.POST("/audio/translations", controller.RelayNotImplemented)
 		relayV1Router.GET("/files", controller.RelayNotImplemented)

web/src/components/ChannelsTable.js

@@ -30,6 +30,9 @@ function renderType(type) {
 function renderBalance(type, balance) {
   switch (type) {
     case 1: // OpenAI
+      return <span>${balance.toFixed(2)}</span>;
+    case 4: // CloseAI
+      return <span>¥{balance.toFixed(2)}</span>;
     case 8: // 自定义
       return <span>${balance.toFixed(2)}</span>;
     case 5: // OpenAI-SB
@@ -38,6 +41,8 @@ function renderBalance(type, balance) {
       return <span>{renderNumber(balance)}</span>;
     case 12: // API2GPT
       return <span>¥{balance.toFixed(2)}</span>;
+    case 13: // AIGC2D
+      return <span>{renderNumber(balance)}</span>;
     default:
       return <span>不支持</span>;
   }
@@ -58,8 +63,8 @@ const ChannelsTable = () => {
       if (startIdx === 0) {
         setChannels(data);
       } else {
-        let newChannels = channels;
-        newChannels.push(...data);
+        let newChannels = [...channels];
+        newChannels.splice(startIdx * ITEMS_PER_PAGE, data.length, ...data);
         setChannels(newChannels);
       }
     } else {
@@ -80,7 +85,7 @@ const ChannelsTable = () => {
 
   const refresh = async () => {
     setLoading(true);
-    await loadChannels(0);
+    await loadChannels(activePage - 1);
   };
 
   useEffect(() => {

web/src/components/LoginForm.js

@@ -12,7 +12,7 @@ import {
 } from 'semantic-ui-react';
 import { Link, useNavigate, useSearchParams } from 'react-router-dom';
 import { UserContext } from '../context/User';
-import { API, getLogo, showError, showSuccess } from '../helpers';
+import { API, getLogo, showError, showSuccess, showInfo } from '../helpers';
 
 const LoginForm = () => {
   const [inputs, setInputs] = useState({
@@ -76,7 +76,7 @@ const LoginForm = () => {
   async function handleSubmit(e) {
     setSubmitted(true);
     if (username && password) {
-      const res = await API.post('/api/user/login', {
+      const res = await API.post(`/api/user/login`, {
         username,
         password,
       });

web/src/components/LogsTable.js

@@ -108,7 +108,7 @@ const LogsTable = () => {
         setLogs(data);
       } else {
         let newLogs = [...logs];
-        newLogs.push(...data);
+        newLogs.splice(startIdx * ITEMS_PER_PAGE, data.length, ...data);
         setLogs(newLogs);
       }
     } else {

web/src/components/OperationSetting.js

@@ -18,7 +18,9 @@ const OperationSetting = () => {
     ChannelDisableThreshold: 0,
     LogConsumeEnabled: '',
     DisplayInCurrencyEnabled: '',
-    DisplayTokenStatEnabled: ''
+    DisplayTokenStatEnabled: '',
+    ApproximateTokenEnabled: '',
+    RetryTimes: 0,
   });
   const [originInputs, setOriginInputs] = useState({});
   let [loading, setLoading] = useState(false);
@@ -121,6 +123,9 @@ const OperationSetting = () => {
         if (originInputs['QuotaPerUnit'] !== inputs.QuotaPerUnit) {
           await updateOption('QuotaPerUnit', inputs.QuotaPerUnit);
         }
+        if (originInputs['RetryTimes'] !== inputs.RetryTimes) {
+          await updateOption('RetryTimes', inputs.RetryTimes);
+        }
         break;
     }
   };
@@ -132,7 +137,7 @@ const OperationSetting = () => {
           <Header as='h3'>
             通用设置
           </Header>
-          <Form.Group widths={3}>
+          <Form.Group widths={4}>
             <Form.Input
               label='充值链接'
               name='TopUpLink'
@@ -161,6 +166,17 @@ const OperationSetting = () => {
               step='0.01'
               placeholder='一单位货币能兑换的额度'
             />
+            <Form.Input
+              label='失败重试次数'
+              name='RetryTimes'
+              type={'number'}
+              step='1'
+              min='0'
+              onChange={handleInputChange}
+              autoComplete='new-password'
+              value={inputs.RetryTimes}
+              placeholder='失败重试次数'
+            />
           </Form.Group>
           <Form.Group inline>
             <Form.Checkbox
@@ -181,6 +197,12 @@ const OperationSetting = () => {
               name='DisplayTokenStatEnabled'
               onChange={handleInputChange}
             />
+            <Form.Checkbox
+              checked={inputs.ApproximateTokenEnabled === 'true'}
+              label='使用近似的方式估算 token 数以减少计算量'
+              name='ApproximateTokenEnabled'
+              onChange={handleInputChange}
+            />
           </Form.Group>
           <Form.Button onClick={() => {
             submitConfig('general').then();

web/src/components/TokensTable.js

@@ -45,8 +45,8 @@ const TokensTable = () => {
       if (startIdx === 0) {
         setTokens(data);
       } else {
-        let newTokens = tokens;
-        newTokens.push(...data);
+        let newTokens = [...tokens];
+        newTokens.splice(startIdx * ITEMS_PER_PAGE, data.length, ...data);
         setTokens(newTokens);
       }
     } else {
@@ -67,7 +67,7 @@ const TokensTable = () => {
 
   const refresh = async () => {
     setLoading(true);
-    await loadTokens(0);
+    await loadTokens(activePage - 1);
   }
 
   useEffect(() => {

web/src/components/UsersTable.js

@@ -183,14 +183,6 @@ const UsersTable = () => {
             >
               分组
             </Table.HeaderCell>
-            <Table.HeaderCell
-              style={{ cursor: 'pointer' }}
-              onClick={() => {
-                sortUser('email');
-              }}
-            >
-              邮箱地址
-            </Table.HeaderCell>
             <Table.HeaderCell
               style={{ cursor: 'pointer' }}
               onClick={() => {
@@ -233,20 +225,20 @@ const UsersTable = () => {
                   <Table.Cell>
                     <Popup
                       content={user.email ? user.email : '未绑定邮箱地址'}
-                      key={user.display_name}
+                      key={user.username}
                       header={user.display_name ? user.display_name : user.username}
                       trigger={<span>{renderText(user.username, 10)}</span>}
                       hoverable
                     />
                   </Table.Cell>
                   <Table.Cell>{renderGroup(user.group)}</Table.Cell>
+                  {/*<Table.Cell>*/}
+                  {/*  {user.email ? <Popup hoverable content={user.email} trigger={<span>{renderText(user.email, 24)}</span>} /> : '无'}*/}
+                  {/*</Table.Cell>*/}
                   <Table.Cell>
-                    {user.email ? <Popup hoverable content={user.email} trigger={<span>{renderText(user.email, 24)}</span>} /> : '无'}
-                  </Table.Cell>
-                  <Table.Cell>
-                    <Popup content='剩余额度' trigger={<Label>{renderQuota(user.quota)}</Label>} />
-                    <Popup content='已用额度' trigger={<Label>{renderQuota(user.used_quota)}</Label>} />
-                    <Popup content='请求次数' trigger={<Label>{renderNumber(user.request_count)}</Label>} />
+                    <Popup content='剩余额度' trigger={<Label basic>{renderQuota(user.quota)}</Label>} />
+                    <Popup content='已用额度' trigger={<Label basic>{renderQuota(user.used_quota)}</Label>} />
+                    <Popup content='请求次数' trigger={<Label basic>{renderNumber(user.request_count)}</Label>} />
                   </Table.Cell>
                   <Table.Cell>{renderRole(user.role)}</Table.Cell>
                   <Table.Cell>{renderStatus(user.status)}</Table.Cell>
@@ -320,7 +312,7 @@ const UsersTable = () => {
 
         <Table.Footer>
           <Table.Row>
-            <Table.HeaderCell colSpan='8'>
+            <Table.HeaderCell colSpan='7'>
               <Button size='small' as={Link} to='/user/add' loading={loading}>
                 添加新的用户
               </Button>

web/src/constants/channel.constants.js

@@ -1,13 +1,18 @@
 export const CHANNEL_OPTIONS = [
   { key: 1, text: 'OpenAI', value: 1, color: 'green' },
-  { key: 8, text: '自定义', value: 8, color: 'pink' },
-  { key: 3, text: 'Azure', value: 3, color: 'olive' },
-  { key: 2, text: 'API2D', value: 2, color: 'blue' },
-  { key: 4, text: 'CloseAI', value: 4, color: 'teal' },
-  { key: 5, text: 'OpenAI-SB', value: 5, color: 'brown' },
-  { key: 6, text: 'OpenAI Max', value: 6, color: 'violet' },
-  { key: 7, text: 'OhMyGPT', value: 7, color: 'purple' },
-  { key: 9, text: 'AI.LS', value: 9, color: 'yellow' },
-  { key: 10, text: 'AI Proxy', value: 10, color: 'purple' },
-  { key: 12, text: 'API2GPT', value: 12, color: 'blue' }
+  { key: 14, text: 'Anthropic Claude', value: 14, color: 'black' },
+  { 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: 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' },
+  { key: 5, text: '代理：OpenAI-SB', value: 5, color: 'brown' },
+  { key: 7, text: '代理：OhMyGPT', value: 7, color: 'purple' },
+  { key: 10, text: '代理：AI Proxy', value: 10, color: 'purple' },
+  { key: 4, text: '代理：CloseAI', value: 4, color: 'teal' },
+  { key: 6, text: '代理：OpenAI Max', value: 6, color: 'violet' },
+  { key: 9, text: '代理：AI.LS', value: 9, color: 'yellow' },
+  { key: 12, text: '代理：API2GPT', value: 12, color: 'blue' },
+  { key: 13, text: '代理：AIGC2D', value: 13, color: 'purple' }
 ];

web/src/pages/Channel/EditChannel.js

@@ -1,5 +1,5 @@
 import React, { useEffect, useState } from 'react';
-import { Button, Form, Header, Message, Segment } from 'semantic-ui-react';
+import { Button, Form, Header, Input, Message, Segment } from 'semantic-ui-react';
 import { useParams } from 'react-router-dom';
 import { API, showError, showInfo, showSuccess, verifyJSON } from '../../helpers';
 import { CHANNEL_OPTIONS } from '../../constants';
@@ -27,10 +27,12 @@ const EditChannel = () => {
   };
   const [batch, setBatch] = useState(false);
   const [inputs, setInputs] = useState(originInputs);
+  const [originModelOptions, setOriginModelOptions] = useState([]);
   const [modelOptions, setModelOptions] = useState([]);
   const [groupOptions, setGroupOptions] = useState([]);
   const [basicModels, setBasicModels] = useState([]);
   const [fullModels, setFullModels] = useState([]);
+  const [customModel, setCustomModel] = useState('');
   const handleInputChange = (e, { name, value }) => {
     setInputs((inputs) => ({ ...inputs, [name]: value }));
   };
@@ -62,13 +64,16 @@ const EditChannel = () => {
   const fetchModels = async () => {
     try {
       let res = await API.get(`/api/channel/models`);
-      setModelOptions(res.data.data.map((model) => ({
+      let localModelOptions = res.data.data.map((model) => ({
         key: model.id,
         text: model.id,
         value: model.id
-      })));
+      }));
+      setOriginModelOptions(localModelOptions);
       setFullModels(res.data.data.map((model) => model.id));
-      setBasicModels(res.data.data.filter((model) => !model.id.startsWith('gpt-4')).map((model) => model.id));
+      setBasicModels(res.data.data.filter((model) => {
+        return model.id.startsWith('gpt-3') || model.id.startsWith('text-');
+      }).map((model) => model.id));
     } catch (error) {
       showError(error.message);
     }
@@ -87,6 +92,20 @@ const EditChannel = () => {
     }
   };
 
+  useEffect(() => {
+    let localModelOptions = [...originModelOptions];
+    inputs.models.forEach((model) => {
+      if (!localModelOptions.find((option) => option.key === model)) {
+        localModelOptions.push({
+          key: model,
+          text: model,
+          value: model
+        });
+      }
+    });
+    setModelOptions(localModelOptions);
+  }, [originModelOptions, inputs.models]);
+
   useEffect(() => {
     if (isEdit) {
       loadChannel().then();
@@ -145,6 +164,7 @@ const EditChannel = () => {
             <Form.Select
               label='类型'
               name='type'
+              required
               options={CHANNEL_OPTIONS}
               value={inputs.type}
               onChange={handleInputChange}
@@ -201,7 +221,7 @@ const EditChannel = () => {
                 <Form.Input
                   label='镜像'
                   name='base_url'
-                  placeholder={'请输入镜像站地址，格式为：https://domain.com，可不填，不填则使用渠道默认值'}
+                  placeholder={'此项可选，输入镜像站地址，格式为：https://domain.com'}
                   onChange={handleInputChange}
                   value={inputs.base_url}
                   autoComplete='new-password'
@@ -212,6 +232,7 @@ const EditChannel = () => {
           <Form.Field>
             <Form.Input
               label='名称'
+              required
               name='name'
               placeholder={'请输入名称'}
               onChange={handleInputChange}
@@ -224,6 +245,7 @@ const EditChannel = () => {
               label='分组'
               placeholder={'请选择分组'}
               name='groups'
+              required
               fluid
               multiple
               selection
@@ -240,6 +262,7 @@ const EditChannel = () => {
               label='模型'
               placeholder={'请选择该通道所支持的模型'}
               name='models'
+              required
               fluid
               multiple
               selection
@@ -259,11 +282,37 @@ const EditChannel = () => {
             <Button type={'button'} onClick={() => {
               handleInputChange(null, { name: 'models', value: [] });
             }}>清除所有模型</Button>
+            <Input
+              action={
+                <Button type={'button'} onClick={()=>{
+                  if (customModel.trim() === "") return;
+                  if (inputs.models.includes(customModel)) return;
+                  let localModels = [...inputs.models];
+                  localModels.push(customModel);
+                  let localModelOptions = [];
+                  localModelOptions.push({
+                    key: customModel,
+                    text: customModel,
+                    value: customModel,
+                  });
+                  setModelOptions(modelOptions=>{
+                    return [...modelOptions, ...localModelOptions];
+                  });
+                  setCustomModel('');
+                  handleInputChange(null, { name: 'models', value: localModels });
+                }}>填入</Button>
+              }
+              placeholder='输入自定义模型名称'
+              value={customModel}
+              onChange={(e, { value }) => {
+                setCustomModel(value);
+              }}
+            />
           </div>
           <Form.Field>
             <Form.TextArea
               label='模型映射'
-              placeholder={`为一个 JSON 文本，键为用户请求的模型名称，值为要替换的模型名称，例如：\n${JSON.stringify(MODEL_MAPPING_EXAMPLE, null, 2)}`}
+              placeholder={`此项可选，为一个 JSON 文本，键为用户请求的模型名称，值为要替换的模型名称，例如：\n${JSON.stringify(MODEL_MAPPING_EXAMPLE, null, 2)}`}
               name='model_mapping'
               onChange={handleInputChange}
               value={inputs.model_mapping}
@@ -276,6 +325,7 @@ const EditChannel = () => {
               <Form.TextArea
                 label='密钥'
                 name='key'
+                required
                 placeholder={'请输入密钥，一行一个'}
                 onChange={handleInputChange}
                 value={inputs.key}
@@ -286,7 +336,8 @@ const EditChannel = () => {
               <Form.Input
                 label='密钥'
                 name='key'
-                placeholder={'请输入密钥'}
+                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" : '请输入密钥'}
                 onChange={handleInputChange}
                 value={inputs.key}
                 autoComplete='new-password'
@@ -303,7 +354,7 @@ const EditChannel = () => {
               />
             )
           }
-          <Button positive onClick={submit}>提交</Button>
+          <Button type={isEdit ? "button" : "submit"} positive onClick={submit}>提交</Button>
         </Form>
       </Segment>
     </>

web/src/pages/Token/EditToken.js

@@ -11,7 +11,7 @@ const EditToken = () => {
   const [loading, setLoading] = useState(isEdit);
   const originInputs = {
     name: '',
-    remain_quota: 0,
+    remain_quota: isEdit ? 0 : 500000,
     expired_time: -1,
     unlimited_quota: false
   };