Merge branch 'main' into feat/zhipu_support_text_embedding

# Conflicts:
#	common/model-ratio.go
#	controller/model.go

README.md

@@ -59,6 +59,9 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
 > **Warning**
 > 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**
+> 使用 root 用户初次登录系统后，务必修改默认密码 `123456`！
+
 ## 功能
 1. 支持多种大模型：
    + [x] [OpenAI ChatGPT 系列模型](https://platform.openai.com/docs/guides/gpt/chat-completions-api)（支持 [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference)）
@@ -69,6 +72,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
    + [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
    + [x] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
    + [x] [360 智脑](https://ai.360.cn)
+   + [x] [腾讯混元大模型](https://cloud.tencent.com/document/product/1729)
 2. 支持配置镜像以及众多第三方代理服务：
    + [x] [OpenAI-SB](https://openai-sb.com)
    + [x] [CloseAI](https://console.closeai-asia.com/r/2412)
@@ -103,11 +107,17 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
 
 ## 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`
+```shell
+# 使用 SQLite 的部署命令：
+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
+# 使用 MySQL 的部署命令，在上面的基础上添加 `-e SQL_DSN="root:123456@tcp(localhost:3306)/oneapi"`，请自行修改数据库连接参数，不清楚如何修改请参见下面环境变量一节。
+# 例如：
+docker run --name one-api -d --restart always -p 3000:3000 -e SQL_DSN="root:123456@tcp(localhost:3306)/oneapi" -e TZ=Asia/Shanghai -v /home/ubuntu/data/one-api:/data justsong/one-api
+```
 
 其中，`-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。
 
-数据将会保存在宿主机的 `/home/ubuntu/data/one-api` 目录，请确保该目录存在且具有写入权限，或者更改为合适的目录。
+数据和日志将会保存在宿主机的 `/home/ubuntu/data/one-api` 目录，请确保该目录存在且具有写入权限，或者更改为合适的目录。
 
 如果启动失败，请添加 `--privileged=true`，具体参考 https://github.com/songquanpeng/one-api/issues/482 。
 
@@ -236,7 +246,7 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope
 <summary><strong>部署到 Zeabur</strong></summary>
 <div>
 
-> Zeabur 的服务器在国外，自动解决了网络的问题，同时免费的额度也足够个人使用。
+> Zeabur 的服务器在国外，自动解决了网络的问题，同时免费的额度也足够个人使用
 
 1. 首先 fork 一份代码。
 2. 进入 [Zeabur](https://zeabur.com?referralCode=songquanpeng)，登录，进入控制台。
@@ -251,6 +261,17 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope
 </div>
 </details>
 
+<details>
+<summary><strong>部署到 Render</strong></summary>
+<div>
+
+> Render 提供免费额度，绑卡后可以进一步提升额度
+
+Render 可以直接部署 docker 镜像，不需要 fork 仓库：https://dashboard.render.com
+
+</div>
+</details>
+
 ## 配置
 系统本身开箱即用。
 
@@ -278,10 +299,11 @@ OPENAI_API_BASE="https://<HOST>:<PORT>/v1"
 ```mermaid
 graph LR
     A(用户)
-    A --->|请求| B(One API)
+    A --->|使用 One API 分发的 key 进行请求| B(One API)
     B -->|中继请求| C(OpenAI)
     B -->|中继请求| D(Azure)
-    B -->|中继请求| E(其他下游渠道)
+    B -->|中继请求| E(其他 OpenAI API 格式下游渠道)
+    B -->|中继并修改请求体和返回体| F(非 OpenAI API 格式下游渠道)
 ```
 
 可以通过在令牌后面添加渠道 ID 的方式指定使用哪一个渠道处理本次请求，例如：`Authorization: Bearer ONE_API_KEY-CHANNEL_ID`。
@@ -309,22 +331,24 @@ graph LR
      + `SQL_CONN_MAX_LIFETIME`：连接的最大生命周期，默认为 `60`，单位分钟。
 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。
+5. `MEMORY_CACHE_ENABLED`：启用内存缓存，会导致用户额度的更新存在一定的延迟，可选值为 `true` 和 `false`，未设置则默认为 `false`。
+   + 例子：`MEMORY_CACHE_ENABLED=true`
+6. `SYNC_FREQUENCY`：在启用缓存的情况下与数据库同步配置的频率，单位为秒，默认为 `600` 秒。
    + 例子：`SYNC_FREQUENCY=60`
-6. `NODE_TYPE`：设置之后将指定节点类型，可选值为 `master` 和 `slave`，未设置则默认为 `master`。
+7. `NODE_TYPE`：设置之后将指定节点类型，可选值为 `master` 和 `slave`，未设置则默认为 `master`。
    + 例子：`NODE_TYPE=slave`
-7. `CHANNEL_UPDATE_FREQUENCY`：设置之后将定期更新渠道余额，单位为分钟，未设置则不进行更新。
+8. `CHANNEL_UPDATE_FREQUENCY`：设置之后将定期更新渠道余额，单位为分钟，未设置则不进行更新。
    + 例子：`CHANNEL_UPDATE_FREQUENCY=1440`
-8. `CHANNEL_TEST_FREQUENCY`：设置之后将定期检查渠道，单位为分钟，未设置则不进行检查。
+9. `CHANNEL_TEST_FREQUENCY`：设置之后将定期检查渠道，单位为分钟，未设置则不进行检查。
    + 例子：`CHANNEL_TEST_FREQUENCY=1440`
-9. `POLLING_INTERVAL`：批量更新渠道余额以及测试可用性时的请求间隔，单位为秒，默认无间隔。
+10. `POLLING_INTERVAL`：批量更新渠道余额以及测试可用性时的请求间隔，单位为秒，默认无间隔。
     + 例子：`POLLING_INTERVAL=5`
-10. `BATCH_UPDATE_ENABLED`：启用数据库批量更新聚合，会导致用户额度的更新存在一定的延迟可选值为 `true` 和 `false`，未设置则默认为 `false`。
+11. `BATCH_UPDATE_ENABLED`：启用数据库批量更新聚合，会导致用户额度的更新存在一定的延迟可选值为 `true` 和 `false`，未设置则默认为 `false`。
     + 例子：`BATCH_UPDATE_ENABLED=true`
     + 如果你遇到了数据库连接数过多的问题，可以尝试启用该选项。
-11. `BATCH_UPDATE_INTERVAL=5`：批量更新聚合的时间间隔，单位为秒，默认为 `5`。
+12. `BATCH_UPDATE_INTERVAL=5`：批量更新聚合的时间间隔，单位为秒，默认为 `5`。
     + 例子：`BATCH_UPDATE_INTERVAL=5`
-12. 请求频率限制：
+13. 请求频率限制：
     + `GLOBAL_API_RATE_LIMIT`：全局 API 速率限制（除中继请求外），单 ip 三分钟内的最大请求数，默认为 `180`。
     + `GLOBAL_WEB_RATE_LIMIT`：全局 Web 速率限制，单 ip 三分钟内的最大请求数，默认为 `60`。
 
@@ -366,6 +390,12 @@ https://openai.justsong.cn
    + 检查是否启用了 HTTPS，浏览器会拦截 HTTPS 域名下的 HTTP 请求。
 6. 报错：`当前分组负载已饱和，请稍后再试`
    + 上游通道 429 了。
+7. 升级之后我的数据会丢失吗？
+   + 如果使用 MySQL，不会。
+   + 如果使用 SQLite，需要按照我所给的部署命令挂载 volume 持久化 one-api.db 数据库文件，否则容器重启后数据会丢失。
+8. 升级之前数据库需要做变更吗？
+   + 一般情况下不需要，系统将在初始化的时候自动调整。
+   + 如果需要的话，我会在更新日志中说明，并给出脚本。
 
 ## 相关项目
 * [FastGPT](https://github.com/labring/FastGPT): 基于 LLM 大语言模型的知识库问答系统

common/constants.go

@@ -56,6 +56,7 @@ var EmailDomainWhitelist = []string{
 }
 
 var DebugEnabled = os.Getenv("DEBUG") == "true"
+var MemoryCacheEnabled = os.Getenv("MEMORY_CACHE_ENABLED") == "true"
 
 var LogConsumeEnabled = true
 
@@ -92,7 +93,7 @@ var IsMasterNode = os.Getenv("NODE_TYPE") != "slave"
 var requestInterval, _ = strconv.Atoi(os.Getenv("POLLING_INTERVAL"))
 var RequestInterval = time.Duration(requestInterval) * time.Second
 
-var SyncFrequency = 10 * 60 // unit is second, will be overwritten by SYNC_FREQUENCY
+var SyncFrequency = GetOrDefault("SYNC_FREQUENCY", 10*60) // unit is second
 
 var BatchUpdateEnabled = false
 var BatchUpdateInterval = GetOrDefault("BATCH_UPDATE_INTERVAL", 5)
@@ -157,7 +158,8 @@ const (
 const (
 	ChannelStatusUnknown          = 0
 	ChannelStatusEnabled          = 1 // don't use 0, 0 is the default value!
-	ChannelStatusDisabled = 2 // also don't use 0
+	ChannelStatusManuallyDisabled = 2 // also don't use 0
+	ChannelStatusAutoDisabled     = 3
 )
 
 const (
@@ -184,6 +186,7 @@ const (
 	ChannelTypeOpenRouter     = 20
 	ChannelTypeAIProxyLibrary = 21
 	ChannelTypeFastGPT        = 22
+	ChannelTypeTencent        = 23
 )
 
 var ChannelBaseURLs = []string{
@@ -210,4 +213,5 @@ var ChannelBaseURLs = []string{
 	"https://openrouter.ai/api",         // 20
 	"https://api.aiproxy.io",            // 21
 	"https://fastgpt.run/api/openapi",   // 22
+	"https://hunyuan.cloud.tencent.com", //23
 }

common/model-ratio.go

@@ -24,6 +24,7 @@ var ModelRatio = map[string]float64{
 	"gpt-3.5-turbo-0613":        0.75,
 	"gpt-3.5-turbo-16k":         1.5, // $0.003 / 1K tokens
 	"gpt-3.5-turbo-16k-0613":    1.5,
+	"gpt-3.5-turbo-instruct":    0.75, // $0.0015 / 1K tokens
 	"text-ada-001":              0.2,
 	"text-babbage-001":          0.25,
 	"text-curie-001":            1,
@@ -51,15 +52,15 @@ var ModelRatio = map[string]float64{
 	"chatglm_std":               0.3572, // ￥0.005 / 1k tokens
 	"chatglm_lite":              0.1429, // ￥0.002 / 1k tokens
 	"text_embedding":            0.0357, // ￥0.0005 / 1k tokens
-	"qwen-v1":                   0.8572, // ￥0.012 / 1k tokens
+	"qwen-turbo":                0.8572, // ￥0.012 / 1k tokens
-	"qwen-plus-v1":              1,      // ￥0.014 / 1k tokens
+	"qwen-plus":                 10,     // ￥0.14 / 1k tokens
 	"text-embedding-v1":         0.05,   // ￥0.0007 / 1k tokens
 	"SparkDesk":                 1.2858, // ￥0.018 / 1k tokens
 	"360GPT_S2_V9":              0.8572, // ¥0.012 / 1k tokens
 	"embedding-bert-512-v1":     0.0715, // ¥0.001 / 1k tokens
 	"embedding_s1_v1":           0.0715, // ¥0.001 / 1k tokens
 	"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
-	"360GPT_S2_V9.4":            0.8572, // ¥0.012 / 1k tokens
+	"hunyuan":                   7.143,  // ¥0.1 / 1k tokens  // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
 }
 
 func ModelRatio2JSONString() string {

controller/channel-test.go

@@ -141,7 +141,7 @@ func disableChannel(channelId int, channelName string, reason string) {
 	if common.RootUserEmail == "" {
 		common.RootUserEmail = model.GetRootUserEmail()
 	}
-	model.UpdateChannelStatusById(channelId, common.ChannelStatusDisabled)
+	model.UpdateChannelStatusById(channelId, common.ChannelStatusAutoDisabled)
 	subject := fmt.Sprintf("通道「%s」（#%d）已被禁用", channelName, channelId)
 	content := fmt.Sprintf("通道「%s」（#%d）已被禁用，原因：%s", channelName, channelId, reason)
 	err := common.SendEmail(subject, common.RootUserEmail, content)

controller/channel.go

@@ -127,6 +127,23 @@ func DeleteChannel(c *gin.Context) {
 	return
 }
 
+func DeleteManuallyDisabledChannel(c *gin.Context) {
+	rows, err := model.DeleteChannelByStatus(common.ChannelStatusManuallyDisabled)
+	if err != nil {
+		c.JSON(http.StatusOK, gin.H{
+			"success": false,
+			"message": err.Error(),
+		})
+		return
+	}
+	c.JSON(http.StatusOK, gin.H{
+		"success": true,
+		"message": "",
+		"data":    rows,
+	})
+	return
+}
+
 func UpdateChannel(c *gin.Context) {
 	channel := model.Channel{}
 	err := c.ShouldBindJSON(&channel)

controller/model.go

@@ -117,6 +117,15 @@ func init() {
 			Root:       "gpt-3.5-turbo-16k-0613",
 			Parent:     nil,
 		},
+		{
+			Id:         "gpt-3.5-turbo-instruct",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "gpt-3.5-turbo-instruct",
+			Parent:     nil,
+		},
 		{
 			Id:         "gpt-4",
 			Object:     "model",
@@ -352,21 +361,21 @@ func init() {
 			Parent:     nil,
 		},
 		{
-			Id:         "qwen-v1",
+			Id:         "qwen-turbo",
 			Object:     "model",
 			Created:    1677649963,
 			OwnedBy:    "ali",
 			Permission: permission,
-			Root:       "qwen-v1",
+			Root:       "qwen-turbo",
 			Parent:     nil,
 		},
 		{
-			Id:         "qwen-plus-v1",
+			Id:         "qwen-plus",
 			Object:     "model",
 			Created:    1677649963,
 			OwnedBy:    "ali",
 			Permission: permission,
-			Root:       "qwen-plus-v1",
+			Root:       "qwen-plus",
 			Parent:     nil,
 		},
 		{
@@ -424,12 +433,12 @@ func init() {
 			Parent:     nil,
 		},
 		{
-			Id:         "360GPT_S2_V9.4",
+			Id:         "hunyuan",
 			Object:     "model",
 			Created:    1677649963,
-			OwnedBy:    "360",
+			OwnedBy:    "tencent",
 			Permission: permission,
-			Root:       "360GPT_S2_V9.4",
+			Root:       "hunyuan",
 			Parent:     nil,
 		},
 	}

controller/option.go

@@ -46,7 +46,7 @@ func UpdateOption(c *gin.Context) {
 		if option.Value == "true" && common.GitHubClientId == "" {
 			c.JSON(http.StatusOK, gin.H{
 				"success": false,
-				"message": "无法启用 GitHub OAuth，请先填入 GitHub Client ID 以及 GitHub Client Secret！",
+				"message": "无法启用 GitHub OAuth，请先填入 GitHub Client Id 以及 GitHub Client Secret！",
 			})
 			return
 		}

controller/relay-audio.go

@@ -4,6 +4,7 @@ import (
 	"bytes"
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"io"
 	"net/http"
@@ -31,6 +32,9 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if err != nil {
 		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
 	}
+	if userQuota-preConsumedQuota < 0 {
+		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+	}
 	err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
 	if err != nil {
 		return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)

controller/relay-image.go

@@ -99,7 +99,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	quota := int(ratio*sizeRatio*1000) * imageRequest.N
 
 	if consumeQuota && userQuota-quota < 0 {
-		return errorWrapper(err, "insufficient_user_quota", http.StatusForbidden)
+		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
 	}
 
 	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)

controller/relay-tencent.go

@@ -0,0 +1,287 @@
+package controller
+
+import (
+	"bufio"
+	"crypto/hmac"
+	"crypto/sha1"
+	"encoding/base64"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
+	"sort"
+	"strconv"
+	"strings"
+)
+
+// https://cloud.tencent.com/document/product/1729/97732
+
+type TencentMessage struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type TencentChatRequest struct {
+	AppId    int64  `json:"app_id"`    // 腾讯云账号的 APPID
+	SecretId string `json:"secret_id"` // 官网 SecretId
+	// Timestamp当前 UNIX 时间戳，单位为秒，可记录发起 API 请求的时间。
+	// 例如1529223702，如果与当前时间相差过大，会引起签名过期错误
+	Timestamp int64 `json:"timestamp"`
+	// Expired 签名的有效期，是一个符合 UNIX Epoch 时间戳规范的数值，
+	// 单位为秒；Expired 必须大于 Timestamp 且 Expired-Timestamp 小于90天
+	Expired int64  `json:"expired"`
+	QueryID string `json:"query_id"` //请求 Id，用于问题排查
+	// Temperature 较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定
+	// 默认 1.0，取值区间为[0.0,2.0]，非必要不建议使用,不合理的取值会影响效果
+	// 建议该参数和 top_p 只设置1个，不要同时更改 top_p
+	Temperature float64 `json:"temperature"`
+	// TopP 影响输出文本的多样性，取值越大，生成文本的多样性越强
+	// 默认1.0，取值区间为[0.0, 1.0]，非必要不建议使用, 不合理的取值会影响效果
+	// 建议该参数和 temperature 只设置1个，不要同时更改
+	TopP float64 `json:"top_p"`
+	// Stream 0：同步，1：流式 （默认，协议：SSE)
+	// 同步请求超时：60s，如果内容较长建议使用流式
+	Stream int `json:"stream"`
+	// Messages 会话内容, 长度最多为40, 按对话时间从旧到新在数组中排列
+	// 输入 content 总数最大支持 3000 token。
+	Messages []TencentMessage `json:"messages"`
+}
+
+type TencentError struct {
+	Code    int    `json:"code"`
+	Message string `json:"message"`
+}
+
+type TencentUsage struct {
+	InputTokens  int `json:"input_tokens"`
+	OutputTokens int `json:"output_tokens"`
+	TotalTokens  int `json:"total_tokens"`
+}
+
+type TencentResponseChoices struct {
+	FinishReason string         `json:"finish_reason,omitempty"` // 流式结束标志位，为 stop 则表示尾包
+	Messages     TencentMessage `json:"messages,omitempty"`      // 内容，同步模式返回内容，流模式为 null 输出 content 内容总数最多支持 1024token。
+	Delta        TencentMessage `json:"delta,omitempty"`         // 内容，流模式返回内容，同步模式为 null 输出 content 内容总数最多支持 1024token。
+}
+
+type TencentChatResponse struct {
+	Choices []TencentResponseChoices `json:"choices,omitempty"` // 结果
+	Created string                   `json:"created,omitempty"` // unix 时间戳的字符串
+	Id      string                   `json:"id,omitempty"`      // 会话 id
+	Usage   Usage                    `json:"usage,omitempty"`   // token 数量
+	Error   TencentError             `json:"error,omitempty"`   // 错误信息 注意：此字段可能返回 null，表示取不到有效值
+	Note    string                   `json:"note,omitempty"`    // 注释
+	ReqID   string                   `json:"req_id,omitempty"`  // 唯一请求 Id，每次请求都会返回。用于反馈接口入参
+}
+
+func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
+	messages := make([]TencentMessage, 0, len(request.Messages))
+	for i := 0; i < len(request.Messages); i++ {
+		message := request.Messages[i]
+		if message.Role == "system" {
+			messages = append(messages, TencentMessage{
+				Role:    "user",
+				Content: message.Content,
+			})
+			messages = append(messages, TencentMessage{
+				Role:    "assistant",
+				Content: "Okay",
+			})
+			continue
+		}
+		messages = append(messages, TencentMessage{
+			Content: message.Content,
+			Role:    message.Role,
+		})
+	}
+	stream := 0
+	if request.Stream {
+		stream = 1
+	}
+	return &TencentChatRequest{
+		Timestamp:   common.GetTimestamp(),
+		Expired:     common.GetTimestamp() + 24*60*60,
+		QueryID:     common.GetUUID(),
+		Temperature: request.Temperature,
+		TopP:        request.TopP,
+		Stream:      stream,
+		Messages:    messages,
+	}
+}
+
+func responseTencent2OpenAI(response *TencentChatResponse) *OpenAITextResponse {
+	fullTextResponse := OpenAITextResponse{
+		Object:  "chat.completion",
+		Created: common.GetTimestamp(),
+		Usage:   response.Usage,
+	}
+	if len(response.Choices) > 0 {
+		choice := OpenAITextResponseChoice{
+			Index: 0,
+			Message: Message{
+				Role:    "assistant",
+				Content: response.Choices[0].Messages.Content,
+			},
+			FinishReason: response.Choices[0].FinishReason,
+		}
+		fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
+	}
+	return &fullTextResponse
+}
+
+func streamResponseTencent2OpenAI(TencentResponse *TencentChatResponse) *ChatCompletionsStreamResponse {
+	response := ChatCompletionsStreamResponse{
+		Object:  "chat.completion.chunk",
+		Created: common.GetTimestamp(),
+		Model:   "tencent-hunyuan",
+	}
+	if len(TencentResponse.Choices) > 0 {
+		var choice ChatCompletionsStreamResponseChoice
+		choice.Delta.Content = TencentResponse.Choices[0].Delta.Content
+		if TencentResponse.Choices[0].FinishReason == "stop" {
+			choice.FinishReason = &stopFinishReason
+		}
+		response.Choices = append(response.Choices, choice)
+	}
+	return &response
+}
+
+func tencentStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
+	var responseText string
+	scanner := bufio.NewScanner(resp.Body)
+	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
+		if atEOF && len(data) == 0 {
+			return 0, nil, nil
+		}
+		if i := strings.Index(string(data), "\n"); i >= 0 {
+			return i + 1, data[0:i], nil
+		}
+		if atEOF {
+			return len(data), data, nil
+		}
+		return 0, nil, nil
+	})
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		for scanner.Scan() {
+			data := scanner.Text()
+			if len(data) < 5 { // ignore blank line or wrong format
+				continue
+			}
+			if data[:5] != "data:" {
+				continue
+			}
+			data = data[5:]
+			dataChan <- data
+		}
+		stopChan <- true
+	}()
+	setEventStreamHeaders(c)
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			var TencentResponse TencentChatResponse
+			err := json.Unmarshal([]byte(data), &TencentResponse)
+			if err != nil {
+				common.SysError("error unmarshalling stream response: " + err.Error())
+				return true
+			}
+			response := streamResponseTencent2OpenAI(&TencentResponse)
+			if len(response.Choices) != 0 {
+				responseText += response.Choices[0].Delta.Content
+			}
+			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), ""
+	}
+	return nil, responseText
+}
+
+func tencentHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var TencentResponse TencentChatResponse
+	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, &TencentResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if TencentResponse.Error.Code != 0 {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: TencentResponse.Error.Message,
+				Code:    TencentResponse.Error.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responseTencent2OpenAI(&TencentResponse)
+	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
+}
+
+func parseTencentConfig(config string) (appId int64, secretId string, secretKey string, err error) {
+	parts := strings.Split(config, "|")
+	if len(parts) != 3 {
+		err = errors.New("invalid tencent config")
+		return
+	}
+	appId, err = strconv.ParseInt(parts[0], 10, 64)
+	secretId = parts[1]
+	secretKey = parts[2]
+	return
+}
+
+func getTencentSign(req TencentChatRequest, secretKey string) string {
+	params := make([]string, 0)
+	params = append(params, "app_id="+strconv.FormatInt(req.AppId, 10))
+	params = append(params, "secret_id="+req.SecretId)
+	params = append(params, "timestamp="+strconv.FormatInt(req.Timestamp, 10))
+	params = append(params, "query_id="+req.QueryID)
+	params = append(params, "temperature="+strconv.FormatFloat(req.Temperature, 'f', -1, 64))
+	params = append(params, "top_p="+strconv.FormatFloat(req.TopP, 'f', -1, 64))
+	params = append(params, "stream="+strconv.Itoa(req.Stream))
+	params = append(params, "expired="+strconv.FormatInt(req.Expired, 10))
+
+	var messageStr string
+	for _, msg := range req.Messages {
+		messageStr += fmt.Sprintf(`{"role":"%s","content":"%s"},`, msg.Role, msg.Content)
+	}
+	messageStr = strings.TrimSuffix(messageStr, ",")
+	params = append(params, "messages=["+messageStr+"]")
+
+	sort.Sort(sort.StringSlice(params))
+	url := "hunyuan.cloud.tencent.com/hyllm/v1/chat/completions?" + strings.Join(params, "&")
+	mac := hmac.New(sha1.New, []byte(secretKey))
+	signURL := url
+	mac.Write([]byte(signURL))
+	sign := mac.Sum([]byte(nil))
+	return base64.StdEncoding.EncodeToString(sign)
+}

controller/relay-text.go

@@ -24,6 +24,7 @@ const (
 	APITypeAli
 	APITypeXunfei
 	APITypeAIProxyLibrary
+	APITypeTencent
 )
 
 var httpClient *http.Client
@@ -109,6 +110,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		apiType = APITypeXunfei
 	case common.ChannelTypeAIProxyLibrary:
 		apiType = APITypeAIProxyLibrary
+	case common.ChannelTypeTencent:
+		apiType = APITypeTencent
 	}
 	baseURL := common.ChannelBaseURLs[channelType]
 	requestURL := c.Request.URL.String()
@@ -182,6 +185,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		if relayMode == RelayModeEmbeddings {
 			fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding"
 		}
+	case APITypeTencent:
+		fullRequestURL = "https://hunyuan.cloud.tencent.com/hyllm/v1/chat/completions"
 	case APITypeAIProxyLibrary:
 		fullRequestURL = fmt.Sprintf("%s/api/library/ask", baseURL)
 	}
@@ -207,6 +212,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	if err != nil {
 		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
 	}
+	if userQuota-preConsumedQuota < 0 {
+		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+	}
 	err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
 	if err != nil {
 		return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
@@ -293,6 +301,23 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeTencent:
+		apiKey := c.Request.Header.Get("Authorization")
+		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
+		appId, secretId, secretKey, err := parseTencentConfig(apiKey)
+		if err != nil {
+			return errorWrapper(err, "invalid_tencent_config", http.StatusInternalServerError)
+		}
+		tencentRequest := requestOpenAI2Tencent(textRequest)
+		tencentRequest.AppId = appId
+		tencentRequest.SecretId = secretId
+		jsonStr, err := json.Marshal(tencentRequest)
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		sign := getTencentSign(*tencentRequest, secretKey)
+		c.Request.Header.Set("Authorization", sign)
+		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeAIProxyLibrary:
 		aiProxyLibraryRequest := requestOpenAI2AIProxyLibrary(textRequest)
 		aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
@@ -340,6 +365,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if textRequest.Stream {
 				req.Header.Set("X-DashScope-SSE", "enable")
 			}
+		case APITypeTencent:
+			req.Header.Set("Authorization", apiKey)
 		default:
 			req.Header.Set("Authorization", "Bearer "+apiKey)
 		}
@@ -599,6 +626,25 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 			return nil
 		}
+	case APITypeTencent:
+		if isStream {
+			err, responseText := tencentStreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
+			return nil
+		} else {
+			err, usage := tencentHandler(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

@@ -9,45 +9,54 @@ import (
 	"net/http"
 	"one-api/common"
 	"strconv"
+	"strings"
 )
 
 var stopFinishReason = "stop"
 
+// tokenEncoderMap won't grow after initialization
 var tokenEncoderMap = map[string]*tiktoken.Tiktoken{}
+var defaultTokenEncoder *tiktoken.Tiktoken
 
 func InitTokenEncoders() {
 	common.SysLog("initializing token encoders")
-	fallbackTokenEncoder, err := tiktoken.EncodingForModel("gpt-3.5-turbo")
+	gpt35TokenEncoder, err := tiktoken.EncodingForModel("gpt-3.5-turbo")
 	if err != nil {
-		common.FatalLog(fmt.Sprintf("failed to get fallback token encoder: %s", err.Error()))
+		common.FatalLog(fmt.Sprintf("failed to get gpt-3.5-turbo token encoder: %s", err.Error()))
+	}
+	defaultTokenEncoder = gpt35TokenEncoder
+	gpt4TokenEncoder, err := tiktoken.EncodingForModel("gpt-4")
+	if err != nil {
+		common.FatalLog(fmt.Sprintf("failed to get gpt-4 token encoder: %s", err.Error()))
 	}
 	for model, _ := range common.ModelRatio {
-		tokenEncoder, err := tiktoken.EncodingForModel(model)
+		if strings.HasPrefix(model, "gpt-3.5") {
-		if err != nil {
+			tokenEncoderMap[model] = gpt35TokenEncoder
-			common.SysError(fmt.Sprintf("using fallback encoder for model %s", model))
+		} else if strings.HasPrefix(model, "gpt-4") {
-			tokenEncoderMap[model] = fallbackTokenEncoder
+			tokenEncoderMap[model] = gpt4TokenEncoder
-			continue
+		} else {
+			tokenEncoderMap[model] = nil
 		}
-		tokenEncoderMap[model] = tokenEncoder
 	}
 	common.SysLog("token encoders initialized")
 }
 
 func getTokenEncoder(model string) *tiktoken.Tiktoken {
-	if tokenEncoder, ok := tokenEncoderMap[model]; ok {
+	tokenEncoder, ok := tokenEncoderMap[model]
+	if ok && tokenEncoder != nil {
 		return tokenEncoder
 	}
+	if ok {
 		tokenEncoder, err := tiktoken.EncodingForModel(model)
 		if err != nil {
 			common.SysError(fmt.Sprintf("failed to get token encoder for model %s: %s, using encoder for gpt-3.5-turbo", model, err.Error()))
-		tokenEncoder, err = tiktoken.EncodingForModel("gpt-3.5-turbo")
+			tokenEncoder = defaultTokenEncoder
-		if err != nil {
-			common.FatalLog(fmt.Sprintf("failed to get token encoder for model gpt-3.5-turbo: %s", err.Error()))
-		}
 		}
 		tokenEncoderMap[model] = tokenEncoder
 		return tokenEncoder
 	}
+	return defaultTokenEncoder
+}
 
 func getTokenNum(tokenEncoder *tiktoken.Tiktoken, text string) int {
 	if common.ApproximateTokenEnabled {

main.go

@@ -2,6 +2,7 @@ package main
 
 import (
 	"embed"
+	"fmt"
 	"github.com/gin-contrib/sessions"
 	"github.com/gin-contrib/sessions/cookie"
 	"github.com/gin-gonic/gin"
@@ -50,18 +51,17 @@ func main() {
 	// Initialize options
 	model.InitOptionMap()
 	if common.RedisEnabled {
+		// for compatibility with old versions
+		common.MemoryCacheEnabled = true
+	}
+	if common.MemoryCacheEnabled {
+		common.SysLog("memory cache enabled")
+		common.SysError(fmt.Sprintf("sync frequency: %d seconds", common.SyncFrequency))
 		model.InitChannelCache()
 	}
-	if os.Getenv("SYNC_FREQUENCY") != "" {
+	if common.MemoryCacheEnabled {
-		frequency, err := strconv.Atoi(os.Getenv("SYNC_FREQUENCY"))
+		go model.SyncOptions(common.SyncFrequency)
-		if err != nil {
+		go model.SyncChannelCache(common.SyncFrequency)
-			common.FatalLog("failed to parse SYNC_FREQUENCY: " + err.Error())
-		}
-		common.SyncFrequency = frequency
-		go model.SyncOptions(frequency)
-		if common.RedisEnabled {
-			go model.SyncChannelCache(frequency)
-		}
 	}
 	if os.Getenv("CHANNEL_UPDATE_FREQUENCY") != "" {
 		frequency, err := strconv.Atoi(os.Getenv("CHANNEL_UPDATE_FREQUENCY"))

middleware/auth.go

@@ -94,7 +94,7 @@ func TokenAuth() func(c *gin.Context) {
 			abortWithMessage(c, http.StatusUnauthorized, err.Error())
 			return
 		}
-		userEnabled, err := model.IsUserEnabled(token.UserId)
+		userEnabled, err := model.CacheIsUserEnabled(token.UserId)
 		if err != nil {
 			abortWithMessage(c, http.StatusInternalServerError, err.Error())
 			return

middleware/distributor.go

@@ -25,12 +25,12 @@ func Distribute() func(c *gin.Context) {
 		if ok {
 			id, err := strconv.Atoi(channelId.(string))
 			if err != nil {
-				abortWithMessage(c, http.StatusBadRequest, "无效的渠道 ID")
+				abortWithMessage(c, http.StatusBadRequest, "无效的渠道 Id")
 				return
 			}
 			channel, err = model.GetChannelById(id, true)
 			if err != nil {
-				abortWithMessage(c, http.StatusBadRequest, "无效的渠道 ID")
+				abortWithMessage(c, http.StatusBadRequest, "无效的渠道 Id")
 				return
 			}
 			if channel.Status != common.ChannelStatusEnabled {

model/cache.go

@@ -186,7 +186,7 @@ func SyncChannelCache(frequency int) {
 }
 
 func CacheGetRandomSatisfiedChannel(group string, model string) (*Channel, error) {
-	if !common.RedisEnabled {
+	if !common.MemoryCacheEnabled {
 		return GetRandomSatisfiedChannel(group, model)
 	}
 	channelSyncLock.RLock()

model/channel.go

@@ -11,7 +11,7 @@ type Channel struct {
 	Key                string  `json:"key" gorm:"not null;index"`
 	Status             int     `json:"status" gorm:"default:1"`
 	Name               string  `json:"name" gorm:"index"`
-	Weight             int     `json:"weight"`
+	Weight             *uint   `json:"weight" gorm:"default:0"`
 	CreatedTime        int64   `json:"created_time" gorm:"bigint"`
 	TestTime           int64   `json:"test_time" gorm:"bigint"`
 	ResponseTime       int     `json:"response_time"` // in milliseconds
@@ -176,3 +176,8 @@ func updateChannelUsedQuota(id int, quota int) {
 		common.SysError("failed to update channel used quota: " + err.Error())
 	}
 }
+
+func DeleteChannelByStatus(status int64) (int64, error) {
+	result := DB.Where("status = ?", status).Delete(&Channel{})
+	return result.RowsAffected, result.Error
+}

model/log.go

@@ -8,18 +8,18 @@ import (
 )
 
 type Log struct {
-	Id               int    `json:"id"`
+	Id               int    `json:"id;index:idx_created_at_id,priority:1"`
-	UserId           int    `json:"user_id"`
+	UserId           int    `json:"user_id" gorm:"index"`
-	CreatedAt        int64  `json:"created_at" gorm:"bigint;index"`
+	CreatedAt        int64  `json:"created_at" gorm:"bigint;index:idx_created_at_id,priority:2;index:idx_created_at_type"`
-	Type             int    `json:"type" gorm:"index"`
+	Type             int    `json:"type" gorm:"index:idx_created_at_type"`
 	Content          string `json:"content"`
-	Username         string `json:"username" gorm:"index;default:''"`
+	Username         string `json:"username" gorm:"index:index_username_model_name,priority:2;default:''"`
 	TokenName        string `json:"token_name" gorm:"index;default:''"`
-	ModelName        string `json:"model_name" gorm:"index;default:''"`
+	ModelName        string `json:"model_name" gorm:"index;index:index_username_model_name,priority:1;default:''"`
 	Quota            int    `json:"quota" gorm:"default:0"`
 	PromptTokens     int    `json:"prompt_tokens" gorm:"default:0"`
 	CompletionTokens int    `json:"completion_tokens" gorm:"default:0"`
-	Channel          int    `json:"channel" gorm:"default:0"`
+	ChannelId        int    `json:"channel" gorm:"index"`
 }
 
 const (
@@ -47,7 +47,6 @@ func RecordLog(userId int, logType int, content string) {
 	}
 }
 
-
 func RecordConsumeLog(ctx context.Context, userId int, channelId int, promptTokens int, completionTokens int, modelName string, tokenName string, quota int, content string) {
 	common.LogInfo(ctx, fmt.Sprintf("record consume log: userId=%d, channelId=%d, promptTokens=%d, completionTokens=%d, modelName=%s, tokenName=%s, quota=%d, content=%s", userId, channelId, promptTokens, completionTokens, modelName, tokenName, quota, content))
 	if !common.LogConsumeEnabled {
@@ -64,7 +63,7 @@ func RecordConsumeLog(ctx context.Context, userId int, channelId int, promptToke
 		TokenName:        tokenName,
 		ModelName:        modelName,
 		Quota:            quota,
-		Channel:          channelId,
+		ChannelId:        channelId,
 	}
 	err := DB.Create(log).Error
 	if err != nil {

model/main.go

@@ -81,6 +81,7 @@ func InitDB() (err error) {
 		if !common.IsMasterNode {
 			return nil
 		}
+		common.SysLog("database migration started")
 		err = db.AutoMigrate(&Channel{})
 		if err != nil {
 			return err

router/api-router.go

@@ -74,6 +74,7 @@ func SetApiRouter(router *gin.Engine) {
 			channelRoute.GET("/update_balance/:id", controller.UpdateChannelBalance)
 			channelRoute.POST("/", controller.AddChannel)
 			channelRoute.PUT("/", controller.UpdateChannel)
+			channelRoute.DELETE("/manually_disabled", controller.DeleteManuallyDisabledChannel)
 			channelRoute.DELETE("/:id", controller.DeleteChannel)
 		}
 		tokenRoute := apiRouter.Group("/token")

web/src/components/ChannelsTable.js

@@ -96,7 +96,7 @@ const ChannelsTable = () => {
       });
   }, []);
 
-  const manageChannel = async (id, action, idx, priority) => {
+  const manageChannel = async (id, action, idx, value) => {
     let data = { id };
     let res;
     switch (action) {
@@ -112,10 +112,20 @@ const ChannelsTable = () => {
         res = await API.put('/api/channel/', data);
         break;
       case 'priority':
-        if (priority === '') {
+        if (value === '') {
           return;
         }
-        data.priority = parseInt(priority);
+        data.priority = parseInt(value);
+        res = await API.put('/api/channel/', data);
+        break;
+      case 'weight':
+        if (value === '') {
+          return;
+        }
+        data.weight = parseInt(value);
+        if (data.weight < 0) {
+          data.weight = 0;
+        }
         res = await API.put('/api/channel/', data);
         break;
     }
@@ -142,9 +152,23 @@ const ChannelsTable = () => {
         return <Label basic color='green'>已启用</Label>;
       case 2:
         return (
-          <Label basic color='red'>
+          <Popup
+            trigger={<Label basic color='red'>
               已禁用
-          </Label>
+            </Label>}
+            content='本渠道被手动禁用'
+            basic
+          />
+        );
+      case 3:
+        return (
+          <Popup
+            trigger={<Label basic color='yellow'>
+              已禁用
+            </Label>}
+            content='本渠道被程序自动禁用'
+            basic
+          />
         );
       default:
         return (
@@ -202,7 +226,7 @@ const ChannelsTable = () => {
       showInfo(`通道 ${name} 测试成功，耗时 ${time.toFixed(2)} 秒。`);
     } else {
       showError(message);
-      showNotice("当前版本测试是通过按照 OpenAI API 格式使用 gpt-3.5-turbo 模型进行非流式请求实现的，因此测试报错并不一定代表通道不可用，该功能后续会修复。")
+      showNotice('当前版本测试是通过按照 OpenAI API 格式使用 gpt-3.5-turbo 模型进行非流式请求实现的，因此测试报错并不一定代表通道不可用，该功能后续会修复。');
     }
   };
 
@@ -216,6 +240,17 @@ const ChannelsTable = () => {
     }
   };
 
+  const deleteAllManuallyDisabledChannels = async () => {
+    const res = await API.delete(`/api/channel/manually_disabled`);
+    const { success, message, data } = res.data;
+    if (success) {
+      showSuccess(`已删除所有手动禁用渠道，共计 ${data} 个`);
+      await refresh();
+    } else {
+      showError(message);
+    }
+  };
+
   const updateChannelBalance = async (id, name, idx) => {
     const res = await API.get(`/api/channel/update_balance/${id}/`);
     const { success, message, balance } = res.data;
@@ -390,12 +425,12 @@ const ChannelsTable = () => {
                   </Table.Cell>
                   <Table.Cell>
                     <Popup
-                        trigger={<Input type="number"  defaultValue={channel.priority} onBlur={(event) => {
+                      trigger={<Input type='number' defaultValue={channel.priority} onBlur={(event) => {
                         manageChannel(
                           channel.id,
                           'priority',
                           idx,
-                              event.target.value,
+                          event.target.value
                         );
                       }}>
                         <input style={{ maxWidth: '60px' }} />
@@ -481,6 +516,20 @@ const ChannelsTable = () => {
               </Button>
               <Button size='small' onClick={updateAllChannelsBalance}
                       loading={loading || updatingBalance}>更新所有已启用通道余额</Button>
+              <Popup
+                trigger={
+                  <Button size='small' loading={loading}>
+                    删除所有手动禁用渠道
+                  </Button>
+                }
+                on='click'
+                flowing
+                hoverable
+              >
+                <Button size='small' loading={loading} negative onClick={deleteAllManuallyDisabledChannels}>
+                  确认删除
+                </Button>
+              </Popup>
               <Pagination
                 floated='right'
                 activePage={activePage}

web/src/components/LoginForm.js

@@ -2,8 +2,8 @@ import React, { useContext, useEffect, useState } from 'react';
 import { Button, Divider, Form, Grid, Header, Image, Message, Modal, Segment } 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, showWarning } from '../helpers';
-import { getOAuthState, onGitHubOAuthClicked } from './utils';
+import { onGitHubOAuthClicked } from './utils';
 
 const LoginForm = () => {
   const [inputs, setInputs] = useState({
@@ -68,8 +68,14 @@ const LoginForm = () => {
       if (success) {
         userDispatch({ type: 'login', payload: data });
         localStorage.setItem('user', JSON.stringify(data));
-        navigate('/');
+        if (username === 'root' && password === '123456') {
+          navigate('/user/edit');
           showSuccess('登录成功！');
+          showWarning('请立刻修改默认密码！');
+        } else {
+          navigate('/token');
+          showSuccess('登录成功！');
+        }
       } else {
         showError(message);
       }

web/src/constants/channel.constants.js

@@ -8,6 +8,7 @@ export const CHANNEL_OPTIONS = [
   { key: 18, text: '讯飞星火认知', value: 18, color: 'blue' },
   { key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
   { key: 19, text: '360 智脑', value: 19, color: 'blue' },
+  { key: 23, text: '腾讯混元', value: 23, color: 'teal' },
   { key: 8, text: '自定义渠道', value: 8, color: 'pink' },
   { key: 22, text: '知识库：FastGPT', value: 22, color: 'blue' },
   { key: 21, text: '知识库：AI Proxy', value: 21, color: 'purple' },

web/src/pages/Channel/EditChannel.js

@@ -19,6 +19,8 @@ function type2secretPrompt(type) {
       return '按照如下格式输入：APPID|APISecret|APIKey';
     case 22:
       return '按照如下格式输入：APIKey-AppId，例如：fastgpt-0sp2gtvfdgyi4k30jwlgwf1i-64f335d84283f05518e9e041';
+    case 23:
+      return '按照如下格式输入：AppId|SecretId|SecretKey';
     default:
       return '请输入渠道对应的鉴权密钥';
   }
@@ -67,7 +69,7 @@ const EditChannel = () => {
           localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'Embedding-V1'];
           break;
         case 17:
-          localModels = ['qwen-v1', 'qwen-plus-v1', 'text-embedding-v1'];
+          localModels = ['qwen-turbo', 'qwen-plus', 'text-embedding-v1'];
           break;
         case 16:
           localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite', 'text_embedding'];
@@ -76,7 +78,10 @@ const EditChannel = () => {
           localModels = ['SparkDesk'];
           break;
         case 19:
-          localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1', '360GPT_S2_V9.4'];
+          localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1'];
+          break;
+        case 23:
+          localModels = ['hunyuan'];
           break;
       }
       setInputs((inputs) => ({ ...inputs, models: localModels }));

web/src/pages/User/EditUser.js

@@ -102,7 +102,7 @@ const EditUser = () => {
               label='密码'
               name='password'
               type={'password'}
-              placeholder={'请输入新的密码'}
+              placeholder={'请输入新的密码，最短 8 位'}
               onChange={handleInputChange}
               value={password}
               autoComplete='new-password'