refactor: refactor relay part (#935)

* add sqlite busy_timeout=3000

* chore: update impl

* fix: fix JSON tag in Log struct

* fix: 修复高并发下，高额度用户使用低额度令牌没有预扣费而导致令牌大额欠费

* Revert "fix: 修复高并发下，高额度用户使用低额度令牌没有预扣费而导致令牌大额欠费"

This reverts commit f0ffe14437.

* fix: remove wrong index

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>

.github/workflows/linux-release.yml

@@ -7,6 +7,11 @@ on:
     tags:
       - '*'
       - '!*-alpha*'
+  workflow_dispatch:
+    inputs:
+      name:
+        description: 'reason'
+        required: false
 jobs:
   release:
     runs-on: ubuntu-latest
@@ -18,13 +23,13 @@ jobs:
       - uses: actions/setup-node@v3
         with:
           node-version: 16
-      - name: Build Frontend
+      - name: Build Frontend (theme default)
         env:
           CI: ""
         run: |
           cd web
-          npm install
-          REACT_APP_VERSION=$(git describe --tags) npm run build
+          git describe --tags > VERSION
+          REACT_APP_VERSION=$(git describe --tags) chmod u+x ./build.sh && ./build.sh
           cd ..
       - name: Set up Go
         uses: actions/setup-go@v3

.github/workflows/macos-release.yml

@@ -7,6 +7,11 @@ on:
     tags:
       - '*'
       - '!*-alpha*'
+  workflow_dispatch:
+    inputs:
+      name:
+        description: 'reason'
+        required: false
 jobs:
   release:
     runs-on: macos-latest
@@ -18,13 +23,13 @@ jobs:
       - uses: actions/setup-node@v3
         with:
           node-version: 16
-      - name: Build Frontend
+      - name: Build Frontend (theme default)
         env:
           CI: ""
         run: |
           cd web
-          npm install
-          REACT_APP_VERSION=$(git describe --tags) npm run build
+          git describe --tags > VERSION
+          REACT_APP_VERSION=$(git describe --tags) chmod u+x ./build.sh && ./build.sh
           cd ..
       - name: Set up Go
         uses: actions/setup-go@v3

.github/workflows/windows-release.yml

@@ -7,6 +7,11 @@ on:
     tags:
       - '*'
       - '!*-alpha*'
+  workflow_dispatch:
+    inputs:
+      name:
+        description: 'reason'
+        required: false
 jobs:
   release:
     runs-on: windows-latest
@@ -21,14 +26,14 @@ jobs:
       - uses: actions/setup-node@v3
         with:
           node-version: 16
-      - name: Build Frontend
+      - name: Build Frontend (theme default)
         env:
           CI: ""
         run: |
-          cd web
+          cd web/default
           npm install
           REACT_APP_VERSION=$(git describe --tags) npm run build
-          cd ..
+          cd ../..
       - name: Set up Go
         uses: actions/setup-go@v3
         with:

Dockerfile

@@ -1,10 +1,15 @@
 FROM node:16 as builder
 
-WORKDIR /build
-COPY web/package.json .
-RUN npm install
-COPY ./web .
+WORKDIR /web
 COPY ./VERSION .
+COPY ./web .
+
+WORKDIR /web/default
+RUN npm install
+RUN DISABLE_ESLINT_PLUGIN='true' REACT_APP_VERSION=$(cat VERSION) npm run build
+
+WORKDIR /web/berry
+RUN npm install
 RUN DISABLE_ESLINT_PLUGIN='true' REACT_APP_VERSION=$(cat VERSION) npm run build
 
 FROM golang AS builder2
@@ -17,7 +22,7 @@ WORKDIR /build
 ADD go.mod go.sum ./
 RUN go mod download
 COPY . .
-COPY --from=builder /build/build ./web/build
+COPY --from=builder /web/build ./web/build
 RUN go build -ldflags "-s -w -X 'one-api/common.Version=$(cat VERSION)' -extldflags '-static'" -o one-api
 
 FROM alpine
@@ -30,4 +35,4 @@ RUN apk update \
 COPY --from=builder2 /build/one-api /
 EXPOSE 3000
 WORKDIR /data
-ENTRYPOINT ["/one-api"]
+ENTRYPOINT ["/one-api"]

README.en.md

@@ -3,7 +3,7 @@
 </p>
 
 <p align="center">
-  <a href="https://github.com/songquanpeng/one-api"><img src="https://raw.githubusercontent.com/songquanpeng/one-api/main/web/public/logo.png" width="150" height="150" alt="one-api logo"></a>
+  <a href="https://github.com/songquanpeng/one-api"><img src="https://raw.githubusercontent.com/songquanpeng/one-api/main/web/default/public/logo.png" width="150" height="150" alt="one-api logo"></a>
 </p>
 
 <div align="center">

README.ja.md

@@ -3,7 +3,7 @@
 </p>
 
 <p align="center">
-  <a href="https://github.com/songquanpeng/one-api"><img src="https://raw.githubusercontent.com/songquanpeng/one-api/main/web/public/logo.png" width="150" height="150" alt="one-api logo"></a>
+  <a href="https://github.com/songquanpeng/one-api"><img src="https://raw.githubusercontent.com/songquanpeng/one-api/main/web/default/public/logo.png" width="150" height="150" alt="one-api logo"></a>
 </p>
 
 <div align="center">

README.md

@@ -4,7 +4,7 @@
 
 
 <p align="center">
-  <a href="https://github.com/songquanpeng/one-api"><img src="https://raw.githubusercontent.com/songquanpeng/one-api/main/web/public/logo.png" width="150" height="150" alt="one-api logo"></a>
+  <a href="https://github.com/songquanpeng/one-api"><img src="https://raw.githubusercontent.com/songquanpeng/one-api/main/web/default/public/logo.png" width="150" height="150" alt="one-api logo"></a>
 </p>
 
 <div align="center">
@@ -99,6 +99,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
     + 邮箱登录注册（支持注册邮箱白名单）以及通过邮箱进行密码重置。
     + [GitHub 开放授权](https://github.com/settings/applications/new)。
     + 微信公众号授权（需要额外部署 [WeChat Server](https://github.com/songquanpeng/wechat-server)）。
+23. 支持主题切换，设置环境变量 `THEME` 即可，默认为 `default`，欢迎 PR 更多主题，具体参考[此处](./web/README.md)。
 
 ## 部署
 ### 基于 Docker 进行部署
@@ -366,6 +367,8 @@ graph LR
     + `DATA_GYM_CACHE_DIR`：目前该配置作用与 `TIKTOKEN_CACHE_DIR` 一致，但是优先级没有它高。
 15. `RELAY_TIMEOUT`：中继超时设置，单位为秒，默认不设置超时时间。
 16. `SQLITE_BUSY_TIMEOUT`：SQLite 锁等待超时设置，单位为毫秒，默认 `3000`。
+17. `GEMINI_SAFETY_SETTING`：Gemini 的安全设置，默认 `BLOCK_NONE`。
+18. `THEME`：系统的主题设置，默认为 `default`，具体可选值参考[此处](./web/README.md)。
 
 ### 命令行参数
 1. `--port <port_number>`: 指定服务器监听的端口号，默认为 `3000`。
@@ -411,6 +414,9 @@ https://openai.justsong.cn
 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。
+9. 手动修改数据库后报错：`数据库一致性已被破坏，请联系管理员`？
+   + 这是检测到 ability 表里有些记录的通道 id 是不存在的，这大概率是因为你删了 channel 表里的记录但是没有同步在 ability 表里清理无效的通道。
+   + 对于每一个通道，其所支持的模型都需要有一个专门的 ability 表的记录，表示该通道支持该模型。
 
 ## 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

@@ -98,6 +98,14 @@ var BatchUpdateInterval = GetOrDefault("BATCH_UPDATE_INTERVAL", 5)
 
 var RelayTimeout = GetOrDefault("RELAY_TIMEOUT", 0) // unit is second
 
+var GeminiSafetySetting = GetOrDefaultString("GEMINI_SAFETY_SETTING", "BLOCK_NONE")
+
+var Theme = GetOrDefaultString("THEME", "default")
+var ValidThemes = map[string]bool{
+	"default": true,
+	"berry":   true,
+}
+
 const (
 	RequestIdKey = "X-Oneapi-Request-Id"
 )

common/gin.go

@@ -31,3 +31,11 @@ func UnmarshalBodyReusable(c *gin.Context, v any) error {
 	c.Request.Body = io.NopCloser(bytes.NewBuffer(requestBody))
 	return nil
 }
+
+func SetEventStreamHeaders(c *gin.Context) {
+	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")
+}

common/image/image.go

@@ -1,6 +1,8 @@
 package image
 
 import (
+	"bytes"
+	"encoding/base64"
 	"image"
 	_ "image/gif"
 	_ "image/jpeg"
@@ -8,11 +10,30 @@ import (
 	"net/http"
 	"regexp"
 	"strings"
+	"sync"
 
 	_ "golang.org/x/image/webp"
 )
 
+// Regex to match data URL pattern
+var	dataURLPattern = regexp.MustCompile(`data:image/([^;]+);base64,(.*)`)
+
+func IsImageUrl(url string) (bool, error) {
+	resp, err := http.Head(url)
+	if err != nil {
+		return false, err
+	}
+	if !strings.HasPrefix(resp.Header.Get("Content-Type"), "image/") {
+		return false, nil
+	}
+	return true, nil
+}
+
 func GetImageSizeFromUrl(url string) (width int, height int, err error) {
+	isImage, err := IsImageUrl(url)
+	if !isImage {
+		return
+	}
 	resp, err := http.Get(url)
 	if err != nil {
 		return
@@ -25,17 +46,60 @@ func GetImageSizeFromUrl(url string) (width int, height int, err error) {
 	return img.Width, img.Height, nil
 }
 
+func GetImageFromUrl(url string) (mimeType string, data string, err error) {
+	// Check if the URL is a data URL
+	matches := dataURLPattern.FindStringSubmatch(url)
+	if len(matches) == 3 {
+		// URL is a data URL
+		mimeType = "image/" + matches[1]
+		data = matches[2]
+		return
+	}
+
+	isImage, err := IsImageUrl(url)
+	if !isImage {
+		return
+	}
+	resp, err := http.Get(url)
+	if err != nil {
+		return
+	}
+	defer resp.Body.Close()
+	buffer := bytes.NewBuffer(nil)
+	_, err = buffer.ReadFrom(resp.Body)
+	if err != nil {
+		return
+	}
+	mimeType = resp.Header.Get("Content-Type")
+	data = base64.StdEncoding.EncodeToString(buffer.Bytes())
+	return
+}
+
 var (
 	reg = regexp.MustCompile(`data:image/([^;]+);base64,`)
 )
 
+var readerPool = sync.Pool{
+	New: func() interface{} {
+		return &bytes.Reader{}
+	},
+}
+
 func GetImageSizeFromBase64(encoded string) (width int, height int, err error) {
-	encoded = strings.TrimPrefix(encoded, "data:image/png;base64,")
-	base64 := strings.NewReader(reg.ReplaceAllString(encoded, ""))
-	img, _, err := image.DecodeConfig(base64)
+	decoded, err := base64.StdEncoding.DecodeString(reg.ReplaceAllString(encoded, ""))
 	if err != nil {
-		return
+		return 0, 0, err
 	}
+
+	reader := readerPool.Get().(*bytes.Reader)
+	defer readerPool.Put(reader)
+	reader.Reset(decoded)
+
+	img, _, err := image.DecodeConfig(reader)
+	if err != nil {
+		return 0, 0, err
+	}
+
 	return img.Width, img.Height, nil
 }
 

common/image/image_test.go

@@ -152,3 +152,20 @@ func TestGetImageSize(t *testing.T) {
 		})
 	}
 }
+
+func TestGetImageSizeFromBase64(t *testing.T) {
+	for i, c := range cases {
+		t.Run("Decode:"+strconv.Itoa(i), func(t *testing.T) {
+			resp, err := http.Get(c.url)
+			assert.NoError(t, err)
+			defer resp.Body.Close()
+			data, err := io.ReadAll(resp.Body)
+			assert.NoError(t, err)
+			encoded := base64.StdEncoding.EncodeToString(data)
+			width, height, err := img.GetImageSizeFromBase64(encoded)
+			assert.NoError(t, err)
+			assert.Equal(t, c.width, width)
+			assert.Equal(t, c.height, height)
+		})
+	}
+}

common/init.go

@@ -36,7 +36,11 @@ func init() {
 	}
 
 	if os.Getenv("SESSION_SECRET") != "" {
-		SessionSecret = os.Getenv("SESSION_SECRET")
+		if os.Getenv("SESSION_SECRET") == "random_string" {
+			SysError("SESSION_SECRET is set to an example value, please change it to a random string.")
+		} else {
+			SessionSecret = os.Getenv("SESSION_SECRET")
+		}
 	}
 	if os.Getenv("SQLITE_PATH") != "" {
 		SQLitePath = os.Getenv("SQLITE_PATH")

common/model-ratio.go

@@ -52,6 +52,8 @@ var ModelRatio = map[string]float64{
 	"gpt-3.5-turbo-16k-0613":    1.5,
 	"gpt-3.5-turbo-instruct":    0.75, // $0.0015 / 1K tokens
 	"gpt-3.5-turbo-1106":        0.5,  // $0.001 / 1K tokens
+	"davinci-002":               1,    // $0.002 / 1K tokens
+	"babbage-002":               0.2,  // $0.0004 / 1K tokens
 	"text-ada-001":              0.2,
 	"text-babbage-001":          0.25,
 	"text-curie-001":            1,
@@ -84,6 +86,7 @@ var ModelRatio = map[string]float64{
 	"Embedding-V1":              0.1429, // ￥0.002 / 1k tokens
 	"PaLM-2":                    1,
 	"gemini-pro":                1,      // $0.00025 / 1k characters -> $0.001 / 1k tokens
+	"gemini-pro-vision":         1,      // $0.00025 / 1k characters -> $0.001 / 1k tokens
 	"chatglm_turbo":             0.3572, // ￥0.005 / 1k tokens
 	"chatglm_pro":               0.7143, // ￥0.01 / 1k tokens
 	"chatglm_std":               0.3572, // ￥0.005 / 1k tokens
@@ -115,6 +118,9 @@ func UpdateModelRatioByJSONString(jsonStr string) error {
 }
 
 func GetModelRatio(name string) float64 {
+	if strings.HasPrefix(name, "qwen-") && strings.HasSuffix(name, "-internet") {
+		name = strings.TrimSuffix(name, "-internet")
+	}
 	ratio, ok := ModelRatio[name]
 	if !ok {
 		SysError("model ratio not found: " + name)

common/utils.go

@@ -196,6 +196,13 @@ func GetOrDefault(env string, defaultValue int) int {
 	return num
 }
 
+func GetOrDefaultString(env string, defaultValue string) string {
+	if env == "" || os.Getenv(env) == "" {
+		return defaultValue
+	}
+	return os.Getenv(env)
+}
+
 func MessageWithRequestId(message string, id string) string {
 	return fmt.Sprintf("%s (request id: %s)", message, id)
 }

controller/billing.go

@@ -4,6 +4,7 @@ import (
 	"github.com/gin-gonic/gin"
 	"one-api/common"
 	"one-api/model"
+	"one-api/relay/channel/openai"
 )
 
 func GetSubscription(c *gin.Context) {
@@ -27,12 +28,12 @@ func GetSubscription(c *gin.Context) {
 		expiredTime = 0
 	}
 	if err != nil {
-		openAIError := OpenAIError{
+		Error := openai.Error{
 			Message: err.Error(),
 			Type:    "upstream_error",
 		}
 		c.JSON(200, gin.H{
-			"error": openAIError,
+			"error": Error,
 		})
 		return
 	}
@@ -69,12 +70,12 @@ func GetUsage(c *gin.Context) {
 		quota, err = model.GetUserUsedQuota(userId)
 	}
 	if err != nil {
-		openAIError := OpenAIError{
+		Error := openai.Error{
 			Message: err.Error(),
 			Type:    "one_api_error",
 		}
 		c.JSON(200, gin.H{
-			"error": openAIError,
+			"error": Error,
 		})
 		return
 	}

controller/channel-billing.go

@@ -8,6 +8,7 @@ import (
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+	"one-api/relay/util"
 	"strconv"
 	"time"
 
@@ -92,7 +93,7 @@ func GetResponseBody(method, url string, channel *model.Channel, headers http.He
 	for k := range headers {
 		req.Header.Add(k, headers.Get(k))
 	}
-	res, err := httpClient.Do(req)
+	res, err := util.HTTPClient.Do(req)
 	if err != nil {
 		return nil, err
 	}

controller/channel-test.go

@@ -9,6 +9,8 @@ import (
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+	"one-api/relay/channel/openai"
+	"one-api/relay/util"
 	"strconv"
 	"sync"
 	"time"
@@ -16,7 +18,7 @@ import (
 	"github.com/gin-gonic/gin"
 )
 
-func testChannel(channel *model.Channel, request ChatRequest) (err error, openaiErr *OpenAIError) {
+func testChannel(channel *model.Channel, request openai.ChatRequest) (err error, openaiErr *openai.Error) {
 	switch channel.Type {
 	case common.ChannelTypePaLM:
 		fallthrough
@@ -46,13 +48,13 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
 	}
 	requestURL := common.ChannelBaseURLs[channel.Type]
 	if channel.Type == common.ChannelTypeAzure {
-		requestURL = getFullRequestURL(channel.GetBaseURL(), fmt.Sprintf("/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", request.Model), channel.Type)
+		requestURL = util.GetFullRequestURL(channel.GetBaseURL(), fmt.Sprintf("/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", request.Model), channel.Type)
 	} else {
 		if baseURL := channel.GetBaseURL(); len(baseURL) > 0 {
 			requestURL = baseURL
 		}
 
-		requestURL = getFullRequestURL(requestURL, "/v1/chat/completions", channel.Type)
+		requestURL = util.GetFullRequestURL(requestURL, "/v1/chat/completions", channel.Type)
 	}
 	jsonData, err := json.Marshal(request)
 	if err != nil {
@@ -68,12 +70,12 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
 		req.Header.Set("Authorization", "Bearer "+channel.Key)
 	}
 	req.Header.Set("Content-Type", "application/json")
-	resp, err := httpClient.Do(req)
+	resp, err := util.HTTPClient.Do(req)
 	if err != nil {
 		return err, nil
 	}
 	defer resp.Body.Close()
-	var response TextResponse
+	var response openai.SlimTextResponse
 	body, err := io.ReadAll(resp.Body)
 	if err != nil {
 		return err, nil
@@ -91,12 +93,12 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
 	return nil, nil
 }
 
-func buildTestRequest() *ChatRequest {
-	testRequest := &ChatRequest{
+func buildTestRequest() *openai.ChatRequest {
+	testRequest := &openai.ChatRequest{
 		Model:     "", // this will be set later
 		MaxTokens: 1,
 	}
-	testMessage := Message{
+	testMessage := openai.Message{
 		Role:    "user",
 		Content: "hi",
 	}
@@ -204,10 +206,10 @@ func testAllChannels(notify bool) error {
 				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 isChannelEnabled && shouldDisableChannel(openaiErr, -1) {
+			if isChannelEnabled && util.ShouldDisableChannel(openaiErr, -1) {
 				disableChannel(channel.Id, channel.Name, err.Error())
 			}
-			if !isChannelEnabled && shouldEnableChannel(err, openaiErr) {
+			if !isChannelEnabled && util.ShouldEnableChannel(err, openaiErr) {
 				enableChannel(channel.Id, channel.Name)
 			}
 			channel.UpdateResponseTime(milliseconds)

controller/model.go

@@ -2,8 +2,8 @@ package controller
 
 import (
 	"fmt"
-
 	"github.com/gin-gonic/gin"
+	"one-api/relay/channel/openai"
 )
 
 // https://platform.openai.com/docs/api-reference/models/list
@@ -342,6 +342,24 @@ func init() {
 			Root:       "code-davinci-edit-001",
 			Parent:     nil,
 		},
+		{
+			Id:         "davinci-002",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "davinci-002",
+			Parent:     nil,
+		},
+		{
+			Id:         "babbage-002",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "babbage-002",
+			Parent:     nil,
+		},
 		{
 			Id:         "claude-instant-1",
 			Object:     "model",
@@ -418,7 +436,7 @@ func init() {
 			Id:         "PaLM-2",
 			Object:     "model",
 			Created:    1677649963,
-			OwnedBy:    "google",
+			OwnedBy:    "google palm",
 			Permission: permission,
 			Root:       "PaLM-2",
 			Parent:     nil,
@@ -427,11 +445,20 @@ func init() {
 			Id:         "gemini-pro",
 			Object:     "model",
 			Created:    1677649963,
-			OwnedBy:    "google",
+			OwnedBy:    "google gemini",
 			Permission: permission,
 			Root:       "gemini-pro",
 			Parent:     nil,
 		},
+		{
+			Id:         "gemini-pro-vision",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "google gemini",
+			Permission: permission,
+			Root:       "gemini-pro-vision",
+			Parent:     nil,
+		},
 		{
 			Id:         "chatglm_turbo",
 			Object:     "model",
@@ -586,14 +613,14 @@ func RetrieveModel(c *gin.Context) {
 	if model, ok := openAIModelsMap[modelId]; ok {
 		c.JSON(200, model)
 	} else {
-		openAIError := OpenAIError{
+		Error := openai.Error{
 			Message: fmt.Sprintf("The model '%s' does not exist", modelId),
 			Type:    "invalid_request_error",
 			Param:   "model",
 			Code:    "model_not_found",
 		}
 		c.JSON(200, gin.H{
-			"error": openAIError,
+			"error": Error,
 		})
 	}
 }

controller/option.go

@@ -42,6 +42,14 @@ func UpdateOption(c *gin.Context) {
 		return
 	}
 	switch option.Key {
+	case "Theme":
+		if !common.ValidThemes[option.Value] {
+			c.JSON(http.StatusOK, gin.H{
+				"success": false,
+				"message": "无效的主题",
+			})
+			return
+		}
 	case "GitHubOAuthEnabled":
 		if option.Value == "true" && common.GitHubClientId == "" {
 			c.JSON(http.StatusOK, gin.H{

controller/relay.go

@@ -4,291 +4,53 @@ import (
 	"fmt"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
+	"one-api/relay/controller"
+	"one-api/relay/util"
 	"strconv"
 	"strings"
 
 	"github.com/gin-gonic/gin"
 )
 
-type Message struct {
-	Role    string  `json:"role"`
-	Content any     `json:"content"`
-	Name    *string `json:"name,omitempty"`
-}
-
-type ImageURL struct {
-	Url    string `json:"url,omitempty"`
-	Detail string `json:"detail,omitempty"`
-}
-
-type TextContent struct {
-	Type string `json:"type,omitempty"`
-	Text string `json:"text,omitempty"`
-}
-
-type ImageContent struct {
-	Type     string    `json:"type,omitempty"`
-	ImageURL *ImageURL `json:"image_url,omitempty"`
-}
-
-func (m Message) StringContent() string {
-	content, ok := m.Content.(string)
-	if ok {
-		return content
-	}
-	contentList, ok := m.Content.([]any)
-	if ok {
-		var contentStr string
-		for _, contentItem := range contentList {
-			contentMap, ok := contentItem.(map[string]any)
-			if !ok {
-				continue
-			}
-			if contentMap["type"] == "text" {
-				if subStr, ok := contentMap["text"].(string); ok {
-					contentStr += subStr
-				}
-			}
-		}
-		return contentStr
-	}
-	return ""
-}
-
-const (
-	RelayModeUnknown = iota
-	RelayModeChatCompletions
-	RelayModeCompletions
-	RelayModeEmbeddings
-	RelayModeModerations
-	RelayModeImagesGenerations
-	RelayModeEdits
-	RelayModeAudioSpeech
-	RelayModeAudioTranscription
-	RelayModeAudioTranslation
-)
-
 // https://platform.openai.com/docs/api-reference/chat
 
-type ResponseFormat struct {
-	Type string `json:"type,omitempty"`
-}
-
-type GeneralOpenAIRequest struct {
-	Model            string          `json:"model,omitempty"`
-	Messages         []Message       `json:"messages,omitempty"`
-	Prompt           any             `json:"prompt,omitempty"`
-	Stream           bool            `json:"stream,omitempty"`
-	MaxTokens        int             `json:"max_tokens,omitempty"`
-	Temperature      float64         `json:"temperature,omitempty"`
-	TopP             float64         `json:"top_p,omitempty"`
-	N                int             `json:"n,omitempty"`
-	Input            any             `json:"input,omitempty"`
-	Instruction      string          `json:"instruction,omitempty"`
-	Size             string          `json:"size,omitempty"`
-	Functions        any             `json:"functions,omitempty"`
-	FrequencyPenalty float64         `json:"frequency_penalty,omitempty"`
-	PresencePenalty  float64         `json:"presence_penalty,omitempty"`
-	ResponseFormat   *ResponseFormat `json:"response_format,omitempty"`
-	Seed             float64         `json:"seed,omitempty"`
-	Tools            any             `json:"tools,omitempty"`
-	ToolChoice       any             `json:"tool_choice,omitempty"`
-	User             string          `json:"user,omitempty"`
-}
-
-func (r GeneralOpenAIRequest) ParseInput() []string {
-	if r.Input == nil {
-		return nil
-	}
-	var input []string
-	switch r.Input.(type) {
-	case string:
-		input = []string{r.Input.(string)}
-	case []any:
-		input = make([]string, 0, len(r.Input.([]any)))
-		for _, item := range r.Input.([]any) {
-			if str, ok := item.(string); ok {
-				input = append(input, str)
-			}
-		}
-	}
-	return input
-}
-
-type ChatRequest struct {
-	Model     string    `json:"model"`
-	Messages  []Message `json:"messages"`
-	MaxTokens int       `json:"max_tokens"`
-}
-
-type TextRequest struct {
-	Model     string    `json:"model"`
-	Messages  []Message `json:"messages"`
-	Prompt    string    `json:"prompt"`
-	MaxTokens int       `json:"max_tokens"`
-	//Stream   bool      `json:"stream"`
-}
-
-// ImageRequest docs: https://platform.openai.com/docs/api-reference/images/create
-type ImageRequest struct {
-	Model          string `json:"model"`
-	Prompt         string `json:"prompt" binding:"required"`
-	N              int    `json:"n,omitempty"`
-	Size           string `json:"size,omitempty"`
-	Quality        string `json:"quality,omitempty"`
-	ResponseFormat string `json:"response_format,omitempty"`
-	Style          string `json:"style,omitempty"`
-	User           string `json:"user,omitempty"`
-}
-
-type WhisperJSONResponse struct {
-	Text string `json:"text,omitempty"`
-}
-
-type WhisperVerboseJSONResponse struct {
-	Task     string    `json:"task,omitempty"`
-	Language string    `json:"language,omitempty"`
-	Duration float64   `json:"duration,omitempty"`
-	Text     string    `json:"text,omitempty"`
-	Segments []Segment `json:"segments,omitempty"`
-}
-
-type Segment struct {
-	Id               int     `json:"id"`
-	Seek             int     `json:"seek"`
-	Start            float64 `json:"start"`
-	End              float64 `json:"end"`
-	Text             string  `json:"text"`
-	Tokens           []int   `json:"tokens"`
-	Temperature      float64 `json:"temperature"`
-	AvgLogprob       float64 `json:"avg_logprob"`
-	CompressionRatio float64 `json:"compression_ratio"`
-	NoSpeechProb     float64 `json:"no_speech_prob"`
-}
-
-type TextToSpeechRequest struct {
-	Model          string  `json:"model" binding:"required"`
-	Input          string  `json:"input" binding:"required"`
-	Voice          string  `json:"voice" binding:"required"`
-	Speed          float64 `json:"speed"`
-	ResponseFormat string  `json:"response_format"`
-}
-
-type Usage struct {
-	PromptTokens     int `json:"prompt_tokens"`
-	CompletionTokens int `json:"completion_tokens"`
-	TotalTokens      int `json:"total_tokens"`
-}
-
-type OpenAIError struct {
-	Message string `json:"message"`
-	Type    string `json:"type"`
-	Param   string `json:"param"`
-	Code    any    `json:"code"`
-}
-
-type OpenAIErrorWithStatusCode struct {
-	OpenAIError
-	StatusCode int `json:"status_code"`
-}
-
-type TextResponse struct {
-	Choices []OpenAITextResponseChoice `json:"choices"`
-	Usage   `json:"usage"`
-	Error   OpenAIError `json:"error"`
-}
-
-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 OpenAIEmbeddingResponseItem struct {
-	Object    string    `json:"object"`
-	Index     int       `json:"index"`
-	Embedding []float64 `json:"embedding"`
-}
-
-type OpenAIEmbeddingResponse struct {
-	Object string                        `json:"object"`
-	Data   []OpenAIEmbeddingResponseItem `json:"data"`
-	Model  string                        `json:"model"`
-	Usage  `json:"usage"`
-}
-
-type ImageResponse struct {
-	Created int `json:"created"`
-	Data    []struct {
-		Url string `json:"url"`
-	}
-}
-
-type ChatCompletionsStreamResponseChoice struct {
-	Delta struct {
-		Content string `json:"content"`
-	} `json:"delta"`
-	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 {
-	Choices []struct {
-		Text         string `json:"text"`
-		FinishReason string `json:"finish_reason"`
-	} `json:"choices"`
-}
-
 func Relay(c *gin.Context) {
-	relayMode := RelayModeUnknown
+	relayMode := constant.RelayModeUnknown
 	if strings.HasPrefix(c.Request.URL.Path, "/v1/chat/completions") {
-		relayMode = RelayModeChatCompletions
+		relayMode = constant.RelayModeChatCompletions
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/completions") {
-		relayMode = RelayModeCompletions
+		relayMode = constant.RelayModeCompletions
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/embeddings") {
-		relayMode = RelayModeEmbeddings
+		relayMode = constant.RelayModeEmbeddings
 	} else if strings.HasSuffix(c.Request.URL.Path, "embeddings") {
-		relayMode = RelayModeEmbeddings
+		relayMode = constant.RelayModeEmbeddings
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/moderations") {
-		relayMode = RelayModeModerations
+		relayMode = constant.RelayModeModerations
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
-		relayMode = RelayModeImagesGenerations
+		relayMode = constant.RelayModeImagesGenerations
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/edits") {
-		relayMode = RelayModeEdits
+		relayMode = constant.RelayModeEdits
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/speech") {
-		relayMode = RelayModeAudioSpeech
+		relayMode = constant.RelayModeAudioSpeech
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
-		relayMode = RelayModeAudioTranscription
+		relayMode = constant.RelayModeAudioTranscription
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
-		relayMode = RelayModeAudioTranslation
+		relayMode = constant.RelayModeAudioTranslation
 	}
-	var err *OpenAIErrorWithStatusCode
+	var err *openai.ErrorWithStatusCode
 	switch relayMode {
-	case RelayModeImagesGenerations:
-		err = relayImageHelper(c, relayMode)
-	case RelayModeAudioSpeech:
+	case constant.RelayModeImagesGenerations:
+		err = controller.RelayImageHelper(c, relayMode)
+	case constant.RelayModeAudioSpeech:
 		fallthrough
-	case RelayModeAudioTranslation:
+	case constant.RelayModeAudioTranslation:
 		fallthrough
-	case RelayModeAudioTranscription:
-		err = relayAudioHelper(c, relayMode)
+	case constant.RelayModeAudioTranscription:
+		err = controller.RelayAudioHelper(c, relayMode)
 	default:
-		err = relayTextHelper(c, relayMode)
+		err = controller.RelayTextHelper(c, relayMode)
 	}
 	if err != nil {
 		requestId := c.GetString(common.RequestIdKey)
@@ -301,17 +63,17 @@ func Relay(c *gin.Context) {
 			c.Redirect(http.StatusTemporaryRedirect, fmt.Sprintf("%s?retry=%d", c.Request.URL.Path, retryTimes-1))
 		} else {
 			if err.StatusCode == http.StatusTooManyRequests {
-				err.OpenAIError.Message = "当前分组上游负载已饱和，请稍后再试"
+				err.Error.Message = "当前分组上游负载已饱和，请稍后再试"
 			}
-			err.OpenAIError.Message = common.MessageWithRequestId(err.OpenAIError.Message, requestId)
+			err.Error.Message = common.MessageWithRequestId(err.Error.Message, requestId)
 			c.JSON(err.StatusCode, gin.H{
-				"error": err.OpenAIError,
+				"error": err.Error,
 			})
 		}
 		channelId := c.GetInt("channel_id")
 		common.LogError(c.Request.Context(), fmt.Sprintf("relay error (channel #%d): %s", channelId, err.Message))
 		// https://platform.openai.com/docs/guides/error-codes/api-errors
-		if shouldDisableChannel(&err.OpenAIError, err.StatusCode) {
+		if util.ShouldDisableChannel(&err.Error, err.StatusCode) {
 			channelId := c.GetInt("channel_id")
 			channelName := c.GetString("channel_name")
 			disableChannel(channelId, channelName, err.Message)
@@ -320,7 +82,7 @@ func Relay(c *gin.Context) {
 }
 
 func RelayNotImplemented(c *gin.Context) {
-	err := OpenAIError{
+	err := openai.Error{
 		Message: "API not implemented",
 		Type:    "one_api_error",
 		Param:   "",
@@ -332,7 +94,7 @@ func RelayNotImplemented(c *gin.Context) {
 }
 
 func RelayNotFound(c *gin.Context) {
-	err := OpenAIError{
+	err := openai.Error{
 		Message: fmt.Sprintf("Invalid URL (%s %s)", c.Request.Method, c.Request.URL.Path),
 		Type:    "invalid_request_error",
 		Param:   "",

controller/user.go

@@ -7,6 +7,7 @@ import (
 	"one-api/common"
 	"one-api/model"
 	"strconv"
+	"time"
 
 	"github.com/gin-contrib/sessions"
 	"github.com/gin-gonic/gin"
@@ -248,6 +249,29 @@ func GetUser(c *gin.Context) {
 	return
 }
 
+func GetUserDashboard(c *gin.Context) {
+	id := c.GetInt("id")
+	now := time.Now()
+	startOfDay := now.Truncate(24*time.Hour).AddDate(0, 0, -6).Unix()
+	endOfDay := now.Truncate(24 * time.Hour).Add(24*time.Hour - time.Second).Unix()
+
+	dashboards, err := model.SearchLogsByDayAndModel(id, int(startOfDay), int(endOfDay))
+	if err != nil {
+		c.JSON(http.StatusOK, gin.H{
+			"success": false,
+			"message": "无法获取统计信息",
+			"data":    nil,
+		})
+		return
+	}
+	c.JSON(http.StatusOK, gin.H{
+		"success": true,
+		"message": "",
+		"data":    dashboards,
+	})
+	return
+}
+
 func GenerateAccessToken(c *gin.Context) {
 	id := c.GetInt("id")
 	user, err := model.GetUserById(id, true)

go.mod

@@ -16,7 +16,7 @@ require (
 	github.com/gorilla/websocket v1.5.0
 	github.com/pkoukk/tiktoken-go v0.1.5
 	github.com/stretchr/testify v1.8.3
-	golang.org/x/crypto v0.14.0
+	golang.org/x/crypto v0.17.0
 	golang.org/x/image v0.14.0
 	gorm.io/driver/mysql v1.4.3
 	gorm.io/driver/postgres v1.5.2
@@ -58,7 +58,7 @@ require (
 	github.com/ugorji/go/codec v1.2.11 // indirect
 	golang.org/x/arch v0.3.0 // indirect
 	golang.org/x/net v0.17.0 // indirect
-	golang.org/x/sys v0.13.0 // indirect
+	golang.org/x/sys v0.15.0 // indirect
 	golang.org/x/text v0.14.0 // indirect
 	google.golang.org/protobuf v1.30.0 // indirect
 	gopkg.in/yaml.v3 v3.0.1 // indirect

go.sum

@@ -150,8 +150,8 @@ golang.org/x/arch v0.0.0-20210923205945-b76863e36670/go.mod h1:5om86z9Hs0C8fWVUu
 golang.org/x/arch v0.3.0 h1:02VY4/ZcO/gBOH6PUaoiptASxtXU10jazRCP865E97k=
 golang.org/x/arch v0.3.0/go.mod h1:5om86z9Hs0C8fWVUuoMHwpExlXzs5Tkyp9hOrfG7pp8=
 golang.org/x/crypto v0.0.0-20210711020723-a769d52b0f97/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc=
-golang.org/x/crypto v0.14.0 h1:wBqGXzWJW6m1XrIKlAH0Hs1JJ7+9KBwnIO8v66Q9cHc=
-golang.org/x/crypto v0.14.0/go.mod h1:MVFd36DqK4CsrnJYDkBA3VC4m2GkXAM0PvzMCn4JQf4=
+golang.org/x/crypto v0.17.0 h1:r8bRNjWL3GshPW3gkd+RpvzWrZAwPS49OmTGZ/uhM4k=
+golang.org/x/crypto v0.17.0/go.mod h1:gCAAfMLgwOJRpTjQ2zCCt2OcSfYMTeZVSRtQlPC7Nq4=
 golang.org/x/image v0.14.0 h1:tNgSxAFe3jC4uYqvZdTr84SZoM1KfwdC9SKIFrLjFn4=
 golang.org/x/image v0.14.0/go.mod h1:HUYqC05R2ZcZ3ejNQsIHQDQiwWM4JBqmm6MKANTp4LE=
 golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
@@ -164,8 +164,8 @@ golang.org/x/sys v0.0.0-20210630005230-0f9fa26af87c/go.mod h1:oPkhp1MJrh7nUepCBc
 golang.org/x/sys v0.0.0-20210806184541-e5e7981a1069/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.0.0-20220704084225-05e143d24a9e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.13.0 h1:Af8nKPmuFypiUBjVoU9V20FiaFXOcuZI21p0ycVYYGE=
-golang.org/x/sys v0.13.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/sys v0.15.0 h1:h48lPFYpsTvQJZF4EKyI4aLHaev3CxivZmv7yZig9pc=
+golang.org/x/sys v0.15.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
 golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
 golang.org/x/text v0.3.2/go.mod h1:bEr9sfX3Q8Zfm5fL9x+3itogRgK3+ptLWKqgva+5dAk=
 golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=

i18n/en.json

@@ -86,6 +86,7 @@
   "该令牌已过期": "The token has expired",
   "该令牌额度已用尽": "The token quota has been used up",
   "无效的令牌": "Invalid token",
+  "令牌验证失败": "Token verification failed",
   "id 或 userId 为空！": "id or userId is empty!",
   "quota 不能为负数！": "quota cannot be negative!",
   "令牌额度不足": "Insufficient token quota",
@@ -458,6 +459,7 @@
   "使用明细（总消耗额度：{renderQuota(stat.quota)}）": "Usage Details (Total Consumption Quota: {renderQuota(stat.quota)})",
   "用户名称": "User Name",
   "令牌名称": "Token Name",
+  "默认令牌": "Default Token",
   "留空则查询全部用户": "Leave blank to query all users",
   "留空则查询全部令牌": "Leave blank to query all tokens",
   "模型名称": "Model Name",
@@ -526,5 +528,250 @@
   "模型版本": "Model version",
   "请输入星火大模型版本，注意是接口地址中的版本号，例如：v2.1": "Please enter the version of the Starfire model, note that it is the version number in the interface address, for example: v2.1",
   "点击查看": "click to view",
-  "请确保已在 Azure 上创建了 gpt-35-turbo 模型，并且 apiVersion 已正确填写！": "Please make sure that the gpt-35-turbo model has been created on Azure, and the apiVersion has been filled in correctly!"
+  "请确保已在 Azure 上创建了 gpt-35-turbo 模型，并且 apiVersion 已正确填写！": "Please make sure that the gpt-35-turbo model has been created on Azure, and the apiVersion has been filled in correctly!",
+  "处理中...": "Processing...",
+  "绑定成功！": "Binding successful!",
+  "登录成功！": "Login successful!",
+  "操作失败，重定向至登录界面中...": "Operation failed, redirecting to login screen...",
+  "出现错误，第 ${count} 次重试中...": "An error occurred, retrying ${count}...",
+  "首页": "Home",
+  "渠道": "Channel",
+  "令牌": "API Keys",
+  "兑换": "Redeem",
+  "充值": "Recharge",
+  "用户": "Users",
+  "日志": "Logs",
+  "设置": "Settings",
+  "关于": "About",
+  "聊天": "Chat",
+  "注销成功!": "Logout successful!",
+  "注销": "Log out",
+  "登录": "Log in",
+  "注册": "Sign up",
+  "加载{name}中...": "Loading {name}...",
+  "未登录或登录已过期，请重新登录！": "Not logged in or login has expired, please log in again!",
+  "请立刻修改默认密码！": "Please change the default password immediately!",
+  "欢迎回来": "Welcome back",
+  "没有账户？": "No account?",
+  "立刻注册": "Sign up now",
+  "用户名": "Username",
+  "密码": "Password",
+  "正在登录……": "Logging in...",
+  "忘记密码": "Forgot password",
+  "其他方式": "Other methods",
+  "微信扫码关注公众号，输入「验证码」获取验证码（三分钟内有效）": "Scan the QR code with WeChat, follow the official account and enter 'verification code' to get the verification code (valid within three minutes)",
+  "验证码": "Verification code",
+  "全部用户": "All users",
+  "当前用户": "Current user",
+  "全部": "All",
+  "消费": "Consumption",
+  "管理": "Management",
+  "系统": "System",
+  "未知": "Unknown",
+  "其他模型": "Other models",
+  "复制成功": "Copy successful",
+  "使用明细": "Usages",
+  "刷新": "Refresh",
+  "收起面板": "Collapse panel",
+  "展开面板": "Expand panel",
+  "显示查询选项": "Show search options",
+  "隐藏查询选项": "Hide search options",
+  "用户名称": "User name",
+  "可选值": "Optional values",
+  "渠道 ID": "Channel ID",
+  "令牌名称": "Key name",
+  "模型名称": "Model name",
+  "起始时间": "Start time",
+  "结束时间": "End time",
+  "查询": "Query",
+  "隐藏条形图": "Hide bar chart",
+  "显示条形图": "Show bar chart",
+  "折线条形图只展示最新50条数据": "Line and bar charts only show the latest 50 pieces of data",
+  "总消耗": "Total consumption",
+  "总共调用了 {payload[0].value} 次": "A total of {payload[0].value} calls were made",
+  "{model.name}: {model.value} 次": "{model.name}: {model.value} times",
+  "总共调用了 {payload[0].value} 次 {payload[0].name}": "A total of {payload[0].value} {payload[0].name} calls were made",
+  "总消耗额度": "Total consumption limit",
+  "暂无数据": "No data available",
+  "更多数据统计图形即将到来，敬请期待！": "More data statistics graphics are coming soon, stay tuned!",
+  "复制用户名": "Copy username",
+  "{`共 ${counts} 条数据`}": "{`A total of ${counts} pieces of data`}",
+  "共 0 条数据": "A total of 0 pieces of data",
+  "选择明细分类": "Select detail category",
+  "模型倍率": "model rate",
+  "分组倍率": "group rate",
+  "新密码已复制到剪贴板：": "New password has been copied to the clipboard:",
+  "密码重置确认": "Password reset confirmation",
+  "邮箱地址": "Email address",
+  "新密码": "New password",
+  "密码已复制到剪贴板：": "Password has been copied to the clipboard:",
+  "密码重置完成": "Password reset complete",
+  "提交": "Submit",
+  "返回登录": "Return to login",
+  "请稍后重试，浏览器环境检查未通过": "Please try again later, browser environment check failed",
+  "重置邮件发送成功，请检查邮箱！": "Reset email sent successfully, please check your email!",
+  "密码重置": "Password reset",
+  "重试": "Retry",
+  "组": "Group",
+  "令牌已重置并已复制到剪贴板": "Token has been reset and copied to the clipboard",
+  "邀请链接已复制到剪切板": "Invitation link has been copied to the clipboard",
+  "系统令牌已复制到剪切板": "System token has been copied to the clipboard",
+  "请输入你的账户名以确认删除！": "Please enter your account name to confirm deletion!",
+  "账户已删除！": "Account has been deleted!",
+  "微信账户绑定成功！": "WeChat account binding successful!",
+  "请稍后几秒重试，Turnstile 正在检查用户环境！": "Please try again in a few seconds, Turnstile is checking the user environment!",
+  "验证码发送成功，请检查邮箱！": "Verification code sent successfully, please check your email!",
+  "邮箱账户绑定成功！": "Email account binding successful!",
+  "个人信息": "Personal information",
+  "编辑个人信息": "Edit personal information",
+  "生成系统访问令牌": "Generate system access token",
+  "复制邀请链接": "Copy invitation link",
+  "删除个人帐户": "Delete personal account",
+  "普通用户": "Regular user",
+  "管理员": "Administrator",
+  "超级管理员": "Super administrator",
+  "显示名称": "Display name",
+  "GitHub 账号": "GitHub account",
+  "微信账号": "WeChat account",
+  "修改个人信息只允许在电脑端进行。生成的令牌用于系统管理，而非用于请求 OpenAI 相关的服务，请知悉。": "Modifying personal information is only allowed on a computer. The generated token is for system management, not for requesting OpenAI related services. Please be aware.",
+  "可用模型": "Available models",
+  "账号绑定": "Account binding",
+  "绑定微信": "Bind WeChat",
+  "绑定 GitHub": "Bind GitHub",
+  "绑定邮箱": "Bind Email",
+  "绑定": "Bind",
+  "绑定邮箱地址": "Bind email address",
+  "输入邮箱地址": "Enter email address",
+  "重新发送": "Resend",
+  "获取验证码": "Get verification code",
+  "确认绑定": "Confirm binding",
+  "取消": "Cancel",
+  "危险操作": "Dangerous operation",
+  "您正在删除自己的帐户，将清空所有数据且不可恢复": "You are deleting your own account, all data will be cleared and cannot be recovered",
+  "输入你的账户名": "Enter your account name",
+  "以确认删除": "To confirm deletion",
+  "确认删除": "Confirm deletion",
+  "未使用": "Not used",
+  "已禁用": "Disabled",
+  "已使用": "Used",
+  "未知状态": "Unknown status",
+  "操作成功完成！": "Operation successfully completed!",
+  "搜索兑换码的 ID 和名称 ...": "Search for the ID and name of the redemption code ...",
+  "名称": "Name",
+  "状态": "Status",
+  "额度": "Quota",
+  "创建时间": "Creation time",
+  "兑换时间": "Redemption time",
+  "操作": "Operation",
+  "尚未兑换": "Not yet redeemed",
+  "已复制到剪贴板！": "Copied to clipboard!",
+  "无法复制到剪贴板，请手动复制，已将兑换码填入搜索框。": "Unable to copy to clipboard, please copy manually. The redemption code has been filled in the search box.",
+  "复制": "Copy",
+  "删除": "Delete",
+  "禁用": "Disable",
+  "启用": "Enable",
+  "编辑": "Edit",
+  "添加新的兑换码": "Add new redemption code",
+  "密码长度不得小于 8 位！": "Password length must not be less than 8 characters!",
+  "两次输入的密码不一致": "The two passwords entered do not match",
+  "注册成功！": "Registration successful!",
+  "请填写注册邮箱！": "Please fill in the registration email!",
+  "请在${verificationTimeout}秒后再试": "Please try again after ${verificationTimeout} seconds",
+  "验证码发送成功，请检查你的邮箱！": "Verification code sent successfully, please check your email!",
+  "已有账户？": "Already have an account?",
+  "请输入用户名（最长 12 位）": "Please enter a username (up to 12 characters)",
+  "请输入密码（最短 8 位，最长 20 位）": "Please enter a password (minimum 8 characters, maximum 20 characters)",
+  "请再次输入密码": "Please enter the password again",
+  "请输入邮箱地址": "Please enter an email address",
+  "秒后可重发": "Can be resent after seconds",
+  "请输入邮箱验证码": "Please enter the email verification code",
+  "已过期": "Expired",
+  "已启用": "Enabled",
+  "已耗尽": "Exhausted",
+  "无": "None",
+  "令牌密钥": "API Key",
+  "令牌状态": "Key status",
+  "已用额度": "Used quota",
+  "剩余额度": "Remaining quota",
+  "过期时间": "Expiration time",
+  "你确定要删除这个令牌吗?": "Are you sure you want to delete this key?",
+  "无法复制到剪贴板，请手动复制，已将令牌密钥填入搜索框": "Unable to copy to clipboard, please copy manually. The key key has been filled in the search box.",
+  "无限制": "Unlimited",
+  "永不过期": "Never expires",
+  "使用 API 访问令牌进行服务鉴权和计费。": "Use API Key for service authentication and billing.",
+  "API 访问令牌关系到您的个人利益，请妥善留存，不要与其他人共享，也不要保存在客户端代码中。": "API Key is related to your personal interests. Please keep it properly. Do not share it with others or save it in client code.",
+  "创建令牌": "Create Key",
+  "什么都还没有，快去创建一个令牌开始使用吧！": "Nothing yet, go create a key to start using!",
+  "你确定要删除该令牌吗": "Are you sure you want to delete this key",
+  "导出令牌信息": "Export key information",
+  "错误：未登录或登录已过期，请重新登录！": "Error: Not logged in or login has expired, please log in again!",
+  "错误：请求次数过多，请稍后再试！": "Error: Too many requests, please try again later!",
+  "错误：服务器内部错误，请联系管理员！": "Error: Server internal error, please contact the online customer service!",
+  "本站仅作演示之用，无服务端！": "This site is for demonstration purposes only, no server!",
+  "错误：": "Error:",
+  "加载首页内容失败...": "Failed to load homepage content...",
+  "系统状况": "System status",
+  "系统信息": "System information",
+  "系统信息总览": "System information overview",
+  "名称：": "Name:",
+  "版本：": "Version:",
+  "源码：": "Source code:",
+  "启动时间：": "Startup time:",
+  "系统配置": "System configuration",
+  "系统配置总览": "System configuration overview",
+  "邮箱验证：": "Email verification:",
+  "未启用": "Not enabled",
+  "Turnstile 用户校验：": "Turnstile user verification:",
+  "页面不存在": "Page does not exist",
+  "请检查你的浏览器地址是否正确": "Please check if your browser address is correct",
+  "个人设置": "Personal settings",
+  "运营设置": "Operations settings",
+  "系统设置": "System settings",
+  "其他设置": "Other settings",
+  "默认令牌": "Default key",
+  "过期时间必须在当前时间之后！": "Expiration time must be after the current time!",
+  "额度必须大于等于 0！": "Quota must be greater than or equal to 0!",
+  "过期时间格式错误！": "Expiration time format error!",
+  "创建令牌数量必须大于等于 1！": "The number of keys to create must be greater than or equal to 1!",
+  "令牌修改成功": "API Key modification successful",
+  "令牌创建成功": "API Key creation successful",
+  "更新令牌信息": "Update key information",
+  "创建新的令牌": "Create a new key",
+  "请输入名称": "Please enter a name",
+  "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 unlimited",
+  "无限额度": "Unlimited quota",
+  "注意：启用无限额度后，已用额度将不再进行计算。": "Note: After enabling unlimited quota, the used quota will no longer be calculated.",
+  "等于": "Equals",
+  "请输入额度（单位：token）": "Please enter the quota (unit: token)",
+  "创建令牌数量": "Create key quantity",
+  "请输入令牌数量": "Please enter the number of keys",
+  "注意：令牌的额度仅用于限制令牌本身的最大额度使用量，实际的使用受到账户的剩余额度限制。": "Note: The quota of the key is only used to limit the maximum quota usage of the key itself, and the actual usage is subject to the remaining quota of the account.",
+  "我的令牌": "My keys",
+  "请输入额度兑换码！": "Please enter the redeem code!",
+  "充值成功！": "Recharge successful!",
+  "请求失败": "Request failed",
+  "超级管理员未设置充值链接！": "The super administrator did not set a recharge link!",
+  "充值额度": "Recharge quota",
+  "兑换中...": "Redeeming...",
+  "请点击充值以获取额度兑换码。": "Please click recharge to get the quota redemption code.",
+  "用户信息更新成功！": "User information updated successfully!",
+  "更新用户信息": "Update user information",
+  "请输入新的用户名": "Please enter a new username",
+  "请输入新的密码，最短 8 位": "Please enter a new password, at least 8 characters",
+  "请输入新的显示名称": "Please enter a new display name",
+  "分组": "Group",
+  "请选择分组": "Please select a group",
+  "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 rate on the system settings page to add a new group:",
+  "请输入新的剩余额度": "Please enter a new remaining quota",
+  "已绑定的 GitHub 账户": "Bound GitHub account",
+  "此项只读，需要用户通过个人设置页面的相关绑定按钮进行绑定，不可直接修改": "This item is read-only, users need to bind through the relevant binding button on the personal settings page, cannot be directly modified",
+  "已绑定的微信账户": "Bound WeChat account",
+  "已绑定的邮箱账户": "Bound email account",
+  "新版本可用：${data.version}，请使用快捷键 Shift + F5 刷新页面": "New version available: ${data.version}, please refresh the page using the shortcut key Shift + F5",
+  "无法正常连接至服务器！": "Unable to connect to the server normally!",
+  "提示：": "Input:",
+  "补全：": "Output:",
+  "搜索令牌名称": "Search key name",
+  "测试所有渠道": "Test all channels",
+  "更新已启用渠道余额": "Update the balance of enabled channels"
 }

main.go

@@ -10,20 +10,18 @@ import (
 	"one-api/controller"
 	"one-api/middleware"
 	"one-api/model"
+	"one-api/relay/channel/openai"
 	"one-api/router"
 	"os"
 	"strconv"
 )
 
-//go:embed web/build
+//go:embed web/build/*
 var buildFS embed.FS
 
-//go:embed web/build/index.html
-var indexPage []byte
-
 func main() {
 	common.SetupLogger()
-	common.SysLog("One API " + common.Version + " started")
+	common.SysLog(fmt.Sprintf("One API %s started", common.Version))
 	if os.Getenv("GIN_MODE") != "debug" {
 		gin.SetMode(gin.ReleaseMode)
 	}
@@ -50,6 +48,7 @@ func main() {
 
 	// Initialize options
 	model.InitOptionMap()
+	common.SysLog(fmt.Sprintf("using theme %s", common.Theme))
 	if common.RedisEnabled {
 		// for compatibility with old versions
 		common.MemoryCacheEnabled = true
@@ -82,7 +81,7 @@ func main() {
 		common.SysLog("batch update enabled with interval " + strconv.Itoa(common.BatchUpdateInterval) + "s")
 		model.InitBatchUpdater()
 	}
-	controller.InitTokenEncoders()
+	openai.InitTokenEncoders()
 
 	// Initialize HTTP server
 	server := gin.New()
@@ -95,7 +94,7 @@ func main() {
 	store := cookie.NewStore([]byte(common.SessionSecret))
 	server.Use(sessions.Sessions("session", store))
 
-	router.SetRouter(server, buildFS, indexPage)
+	router.SetRouter(server, buildFS)
 	var port = os.Getenv("PORT")
 	if port == "" {
 		port = strconv.Itoa(*common.Port)

middleware/recover.go

@@ -5,6 +5,7 @@ import (
 	"github.com/gin-gonic/gin"
 	"net/http"
 	"one-api/common"
+	"runtime/debug"
 )
 
 func RelayPanicRecover() gin.HandlerFunc {
@@ -12,6 +13,7 @@ func RelayPanicRecover() gin.HandlerFunc {
 		defer func() {
 			if err := recover(); err != nil {
 				common.SysError(fmt.Sprintf("panic detected: %v", err))
+				common.SysError(fmt.Sprintf("stacktrace from panic: %s", string(debug.Stack())))
 				c.JSON(http.StatusInternalServerError, gin.H{
 					"error": gin.H{
 						"message": fmt.Sprintf("Panic detected, error: %v. Please submit a issue here: https://github.com/songquanpeng/one-api", err),

model/log.go

@@ -3,14 +3,15 @@ package model
 import (
 	"context"
 	"fmt"
-	"gorm.io/gorm"
 	"one-api/common"
+
+	"gorm.io/gorm"
 )
 
 type Log struct {
-	Id               int    `json:"id;index:idx_created_at_id,priority:1"`
+	Id               int    `json:"id"`
 	UserId           int    `json:"user_id" gorm:"index"`
-	CreatedAt        int64  `json:"created_at" gorm:"bigint;index:idx_created_at_id,priority:2;index:idx_created_at_type"`
+	CreatedAt        int64  `json:"created_at" gorm:"bigint;index:idx_created_at_type"`
 	Type             int    `json:"type" gorm:"index:idx_created_at_type"`
 	Content          string `json:"content"`
 	Username         string `json:"username" gorm:"index:index_username_model_name,priority:2;default:''"`
@@ -182,3 +183,40 @@ func DeleteOldLog(targetTimestamp int64) (int64, error) {
 	result := DB.Where("created_at < ?", targetTimestamp).Delete(&Log{})
 	return result.RowsAffected, result.Error
 }
+
+type LogStatistic struct {
+	Day              string `gorm:"column:day"`
+	ModelName        string `gorm:"column:model_name"`
+	RequestCount     int    `gorm:"column:request_count"`
+	Quota            int    `gorm:"column:quota"`
+	PromptTokens     int    `gorm:"column:prompt_tokens"`
+	CompletionTokens int    `gorm:"column:completion_tokens"`
+}
+
+func SearchLogsByDayAndModel(userId, start, end int) (LogStatistics []*LogStatistic, err error) {
+	groupSelect := "DATE_FORMAT(FROM_UNIXTIME(created_at), '%Y-%m-%d') as day"
+
+	if common.UsingPostgreSQL {
+		groupSelect = "TO_CHAR(date_trunc('day', to_timestamp(created_at)), 'YYYY-MM-DD') as day"
+	}
+
+	if common.UsingSQLite {
+		groupSelect = "strftime('%Y-%m-%d', datetime(created_at, 'unixepoch')) as day"
+	}
+
+	err = DB.Raw(`
+		SELECT `+groupSelect+`,
+		model_name, count(1) as request_count,
+		sum(quota) as quota,
+		sum(prompt_tokens) as prompt_tokens,
+		sum(completion_tokens) as completion_tokens
+		FROM logs
+		WHERE type=2
+		AND user_id= ?
+		AND created_at BETWEEN ? AND ?
+		GROUP BY day, model_name
+		ORDER BY day, model_name
+	`, userId, start, end).Scan(&LogStatistics).Error
+
+	return LogStatistics, err
+}

model/main.go

@@ -16,7 +16,7 @@ var DB *gorm.DB
 
 func createRootAccountIfNeed() error {
 	var user User
-	//if user.Status != common.UserStatusEnabled {
+	//if user.Status != util.UserStatusEnabled {
 	if err := DB.First(&user).Error; err != nil {
 		common.SysLog("no user exists, create a root user for you: username is root, password is 123456")
 		hashedPassword, err := common.Password2Hash("123456")

model/option.go

@@ -72,6 +72,7 @@ func InitOptionMap() {
 	common.OptionMap["ChatLink"] = common.ChatLink
 	common.OptionMap["QuotaPerUnit"] = strconv.FormatFloat(common.QuotaPerUnit, 'f', -1, 64)
 	common.OptionMap["RetryTimes"] = strconv.Itoa(common.RetryTimes)
+	common.OptionMap["Theme"] = common.Theme
 	common.OptionMapRWMutex.Unlock()
 	loadOptionsFromDatabase()
 }
@@ -220,6 +221,8 @@ func updateOptionMap(key string, value string) (err error) {
 		common.ChannelDisableThreshold, _ = strconv.ParseFloat(value, 64)
 	case "QuotaPerUnit":
 		common.QuotaPerUnit, _ = strconv.ParseFloat(value, 64)
+	case "Theme":
+		common.Theme = value
 	}
 	return err
 }

model/token.go

@@ -38,39 +38,43 @@ func ValidateUserToken(key string) (token *Token, err error) {
 		return nil, errors.New("未提供令牌")
 	}
 	token, err = CacheGetTokenByKey(key)
-	if err == nil {
-		if token.Status == common.TokenStatusExhausted {
-			return nil, errors.New("该令牌额度已用尽")
-		} else if token.Status == common.TokenStatusExpired {
-			return nil, errors.New("该令牌已过期")
+	if err != nil {
+		common.SysError("CacheGetTokenByKey failed: " + err.Error())
+		if errors.Is(err, gorm.ErrRecordNotFound) {
+			return nil, errors.New("无效的令牌")
 		}
-		if token.Status != common.TokenStatusEnabled {
-			return nil, errors.New("该令牌状态不可用")
-		}
-		if token.ExpiredTime != -1 && token.ExpiredTime < common.GetTimestamp() {
-			if !common.RedisEnabled {
-				token.Status = common.TokenStatusExpired
-				err := token.SelectUpdate()
-				if err != nil {
-					common.SysError("failed to update token status" + err.Error())
-				}
-			}
-			return nil, errors.New("该令牌已过期")
-		}
-		if !token.UnlimitedQuota && token.RemainQuota <= 0 {
-			if !common.RedisEnabled {
-				// in this case, we can make sure the token is exhausted
-				token.Status = common.TokenStatusExhausted
-				err := token.SelectUpdate()
-				if err != nil {
-					common.SysError("failed to update token status" + err.Error())
-				}
-			}
-			return nil, errors.New("该令牌额度已用尽")
-		}
-		return token, nil
+		return nil, errors.New("令牌验证失败")
 	}
-	return nil, errors.New("无效的令牌")
+	if token.Status == common.TokenStatusExhausted {
+		return nil, errors.New("该令牌额度已用尽")
+	} else if token.Status == common.TokenStatusExpired {
+		return nil, errors.New("该令牌已过期")
+	}
+	if token.Status != common.TokenStatusEnabled {
+		return nil, errors.New("该令牌状态不可用")
+	}
+	if token.ExpiredTime != -1 && token.ExpiredTime < common.GetTimestamp() {
+		if !common.RedisEnabled {
+			token.Status = common.TokenStatusExpired
+			err := token.SelectUpdate()
+			if err != nil {
+				common.SysError("failed to update token status" + err.Error())
+			}
+		}
+		return nil, errors.New("该令牌已过期")
+	}
+	if !token.UnlimitedQuota && token.RemainQuota <= 0 {
+		if !common.RedisEnabled {
+			// in this case, we can make sure the token is exhausted
+			token.Status = common.TokenStatusExhausted
+			err := token.SelectUpdate()
+			if err != nil {
+				common.SysError("failed to update token status" + err.Error())
+			}
+		}
+		return nil, errors.New("该令牌额度已用尽")
+	}
+	return token, nil
 }
 
 func GetTokenByIds(id int, userId int) (*Token, error) {

model/user.go

@@ -15,7 +15,7 @@ type User struct {
 	Username         string `json:"username" gorm:"unique;index" validate:"max=12"`
 	Password         string `json:"password" gorm:"not null;" validate:"min=8,max=20"`
 	DisplayName      string `json:"display_name" gorm:"index" validate:"max=20"`
-	Role             int    `json:"role" gorm:"type:int;default:1"`   // admin, common
+	Role             int    `json:"role" gorm:"type:int;default:1"`   // admin, util
 	Status           int    `json:"status" gorm:"type:int;default:1"` // enabled, disabled
 	Email            string `json:"email" gorm:"index" validate:"max=50"`
 	GitHubId         string `json:"github_id" gorm:"column:github_id;index"`
@@ -42,7 +42,11 @@ func GetAllUsers(startIdx int, num int) (users []*User, err error) {
 }
 
 func SearchUsers(keyword string) (users []*User, err error) {
-	err = DB.Omit("password").Where("id = ? or username LIKE ? or email LIKE ? or display_name LIKE ?", keyword, keyword+"%", keyword+"%", keyword+"%").Find(&users).Error
+	if !common.UsingPostgreSQL {
+		err = DB.Omit("password").Where("id = ? or username LIKE ? or email LIKE ? or display_name LIKE ?", keyword, keyword+"%", keyword+"%", keyword+"%").Find(&users).Error
+	} else {
+		err = DB.Omit("password").Where("username LIKE ? or email LIKE ? or display_name LIKE ?", keyword+"%", keyword+"%", keyword+"%").Find(&users).Error
+	}
 	return users, err
 }
 
@@ -137,7 +141,15 @@ func (user *User) ValidateAndFill() (err error) {
 	if user.Username == "" || password == "" {
 		return errors.New("用户名或密码为空")
 	}
-	DB.Where(User{Username: user.Username}).First(user)
+	err = DB.Where("username = ?", user.Username).First(user).Error
+	if err != nil {
+		// we must make sure check username firstly
+		// consider this case: a malicious user set his username as other's email
+		err := DB.Where("email = ?", user.Username).First(user).Error
+		if err != nil {
+			return errors.New("用户名或密码错误，或用户已被封禁")
+		}
+	}
 	okay := common.ValidatePasswordAndHash(password, user.Password)
 	if !okay || user.Status != common.UserStatusEnabled {
 		return errors.New("用户名或密码错误，或用户已被封禁")

pull_request_template.md

@@ -1,3 +1,9 @@
+[//]: # (请按照以下格式关联 issue)
+[//]: # (请在提交 PR 前确认所提交的功能可用，附上截图即可，这将有助于项目维护者 review & merge 该 PR，谢谢)
+[//]: # (项目维护者一般仅在周末处理 PR，因此如若未能及时回复希望能理解)
+[//]: # (开发者交流群：910657413)
+[//]: # (请在提交 PR 之前删除上面的注释)
+
 close #issue_number
 
 我已确认该 PR 已自测通过，相关截图如下：

relay/channel/aiproxy/main.go

@@ -1,4 +1,4 @@
-package controller
+package aiproxy
 
 import (
 	"bufio"
@@ -8,56 +8,27 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
 	"strconv"
 	"strings"
 )
 
 // https://docs.aiproxy.io/dev/library#使用已经定制好的知识库进行对话问答
 
-type AIProxyLibraryRequest struct {
-	Model     string `json:"model"`
-	Query     string `json:"query"`
-	LibraryId string `json:"libraryId"`
-	Stream    bool   `json:"stream"`
-}
-
-type AIProxyLibraryError struct {
-	ErrCode int    `json:"errCode"`
-	Message string `json:"message"`
-}
-
-type AIProxyLibraryDocument struct {
-	Title string `json:"title"`
-	URL   string `json:"url"`
-}
-
-type AIProxyLibraryResponse struct {
-	Success   bool                     `json:"success"`
-	Answer    string                   `json:"answer"`
-	Documents []AIProxyLibraryDocument `json:"documents"`
-	AIProxyLibraryError
-}
-
-type AIProxyLibraryStreamResponse struct {
-	Content   string                   `json:"content"`
-	Finish    bool                     `json:"finish"`
-	Model     string                   `json:"model"`
-	Documents []AIProxyLibraryDocument `json:"documents"`
-}
-
-func requestOpenAI2AIProxyLibrary(request GeneralOpenAIRequest) *AIProxyLibraryRequest {
+func ConvertRequest(request openai.GeneralOpenAIRequest) *LibraryRequest {
 	query := ""
 	if len(request.Messages) != 0 {
 		query = request.Messages[len(request.Messages)-1].StringContent()
 	}
-	return &AIProxyLibraryRequest{
+	return &LibraryRequest{
 		Model:  request.Model,
 		Stream: request.Stream,
 		Query:  query,
 	}
 }
 
-func aiProxyDocuments2Markdown(documents []AIProxyLibraryDocument) string {
+func aiProxyDocuments2Markdown(documents []LibraryDocument) string {
 	if len(documents) == 0 {
 		return ""
 	}
@@ -68,52 +39,52 @@ func aiProxyDocuments2Markdown(documents []AIProxyLibraryDocument) string {
 	return content
 }
 
-func responseAIProxyLibrary2OpenAI(response *AIProxyLibraryResponse) *OpenAITextResponse {
+func responseAIProxyLibrary2OpenAI(response *LibraryResponse) *openai.TextResponse {
 	content := response.Answer + aiProxyDocuments2Markdown(response.Documents)
-	choice := OpenAITextResponseChoice{
+	choice := openai.TextResponseChoice{
 		Index: 0,
-		Message: Message{
+		Message: openai.Message{
 			Role:    "assistant",
 			Content: content,
 		},
 		FinishReason: "stop",
 	}
-	fullTextResponse := OpenAITextResponse{
+	fullTextResponse := openai.TextResponse{
 		Id:      common.GetUUID(),
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
-		Choices: []OpenAITextResponseChoice{choice},
+		Choices: []openai.TextResponseChoice{choice},
 	}
 	return &fullTextResponse
 }
 
-func documentsAIProxyLibrary(documents []AIProxyLibraryDocument) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func documentsAIProxyLibrary(documents []LibraryDocument) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = aiProxyDocuments2Markdown(documents)
-	choice.FinishReason = &stopFinishReason
-	return &ChatCompletionsStreamResponse{
+	choice.FinishReason = &constant.StopFinishReason
+	return &openai.ChatCompletionsStreamResponse{
 		Id:      common.GetUUID(),
 		Object:  "chat.completion.chunk",
 		Created: common.GetTimestamp(),
 		Model:   "",
-		Choices: []ChatCompletionsStreamResponseChoice{choice},
+		Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 	}
 }
 
-func streamResponseAIProxyLibrary2OpenAI(response *AIProxyLibraryStreamResponse) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func streamResponseAIProxyLibrary2OpenAI(response *LibraryStreamResponse) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = response.Content
-	return &ChatCompletionsStreamResponse{
+	return &openai.ChatCompletionsStreamResponse{
 		Id:      common.GetUUID(),
 		Object:  "chat.completion.chunk",
 		Created: common.GetTimestamp(),
 		Model:   response.Model,
-		Choices: []ChatCompletionsStreamResponseChoice{choice},
+		Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 	}
 }
 
-func aiProxyLibraryStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var usage Usage
+func StreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var usage openai.Usage
 	scanner := bufio.NewScanner(resp.Body)
 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
 		if atEOF && len(data) == 0 {
@@ -143,12 +114,12 @@ func aiProxyLibraryStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIEr
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
-	var documents []AIProxyLibraryDocument
+	common.SetEventStreamHeaders(c)
+	var documents []LibraryDocument
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
-			var AIProxyLibraryResponse AIProxyLibraryStreamResponse
+			var AIProxyLibraryResponse LibraryStreamResponse
 			err := json.Unmarshal([]byte(data), &AIProxyLibraryResponse)
 			if err != nil {
 				common.SysError("error unmarshalling stream response: " + err.Error())
@@ -179,28 +150,28 @@ func aiProxyLibraryStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIEr
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
 	return nil, &usage
 }
 
-func aiProxyLibraryHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var AIProxyLibraryResponse AIProxyLibraryResponse
+func Handler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var AIProxyLibraryResponse LibraryResponse
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
 	err = json.Unmarshal(responseBody, &AIProxyLibraryResponse)
 	if err != nil {
-		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if AIProxyLibraryResponse.ErrCode != 0 {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: AIProxyLibraryResponse.Message,
 				Type:    strconv.Itoa(AIProxyLibraryResponse.ErrCode),
 				Code:    AIProxyLibraryResponse.ErrCode,
@@ -211,7 +182,7 @@ func aiProxyLibraryHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWit
 	fullTextResponse := responseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)

relay/channel/aiproxy/model.go

@@ -0,0 +1,32 @@
+package aiproxy
+
+type LibraryRequest struct {
+	Model     string `json:"model"`
+	Query     string `json:"query"`
+	LibraryId string `json:"libraryId"`
+	Stream    bool   `json:"stream"`
+}
+
+type LibraryError struct {
+	ErrCode int    `json:"errCode"`
+	Message string `json:"message"`
+}
+
+type LibraryDocument struct {
+	Title string `json:"title"`
+	URL   string `json:"url"`
+}
+
+type LibraryResponse struct {
+	Success   bool              `json:"success"`
+	Answer    string            `json:"answer"`
+	Documents []LibraryDocument `json:"documents"`
+	LibraryError
+}
+
+type LibraryStreamResponse struct {
+	Content   string            `json:"content"`
+	Finish    bool              `json:"finish"`
+	Model     string            `json:"model"`
+	Documents []LibraryDocument `json:"documents"`
+}

relay/channel/ali/main.go

@@ -1,4 +1,4 @@
-package controller
+package ali
 
 import (
 	"bufio"
@@ -7,105 +7,43 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
 	"strings"
 )
 
 // https://help.aliyun.com/document_detail/613695.html?spm=a2c4g.2399480.0.0.1adb778fAdzP9w#341800c0f8w0r
 
-type AliMessage struct {
-	Content string `json:"content"`
-	Role    string `json:"role"`
-}
+const EnableSearchModelSuffix = "-internet"
 
-type AliInput struct {
-	//Prompt   string       `json:"prompt"`
-	Messages []AliMessage `json:"messages"`
-}
-
-type AliParameters struct {
-	TopP         float64 `json:"top_p,omitempty"`
-	TopK         int     `json:"top_k,omitempty"`
-	Seed         uint64  `json:"seed,omitempty"`
-	EnableSearch bool    `json:"enable_search,omitempty"`
-}
-
-type AliChatRequest struct {
-	Model      string        `json:"model"`
-	Input      AliInput      `json:"input"`
-	Parameters AliParameters `json:"parameters,omitempty"`
-}
-
-type AliEmbeddingRequest struct {
-	Model string `json:"model"`
-	Input struct {
-		Texts []string `json:"texts"`
-	} `json:"input"`
-	Parameters *struct {
-		TextType string `json:"text_type,omitempty"`
-	} `json:"parameters,omitempty"`
-}
-
-type AliEmbedding struct {
-	Embedding []float64 `json:"embedding"`
-	TextIndex int       `json:"text_index"`
-}
-
-type AliEmbeddingResponse struct {
-	Output struct {
-		Embeddings []AliEmbedding `json:"embeddings"`
-	} `json:"output"`
-	Usage AliUsage `json:"usage"`
-	AliError
-}
-
-type AliError struct {
-	Code      string `json:"code"`
-	Message   string `json:"message"`
-	RequestId string `json:"request_id"`
-}
-
-type AliUsage struct {
-	InputTokens  int `json:"input_tokens"`
-	OutputTokens int `json:"output_tokens"`
-	TotalTokens  int `json:"total_tokens"`
-}
-
-type AliOutput struct {
-	Text         string `json:"text"`
-	FinishReason string `json:"finish_reason"`
-}
-
-type AliChatResponse struct {
-	Output AliOutput `json:"output"`
-	Usage  AliUsage  `json:"usage"`
-	AliError
-}
-
-func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
-	messages := make([]AliMessage, 0, len(request.Messages))
+func ConvertRequest(request openai.GeneralOpenAIRequest) *ChatRequest {
+	messages := make([]Message, 0, len(request.Messages))
 	for i := 0; i < len(request.Messages); i++ {
 		message := request.Messages[i]
-		messages = append(messages, AliMessage{
+		messages = append(messages, Message{
 			Content: message.StringContent(),
 			Role:    strings.ToLower(message.Role),
 		})
 	}
-	return &AliChatRequest{
-		Model: request.Model,
-		Input: AliInput{
+	enableSearch := false
+	aliModel := request.Model
+	if strings.HasSuffix(aliModel, EnableSearchModelSuffix) {
+		enableSearch = true
+		aliModel = strings.TrimSuffix(aliModel, EnableSearchModelSuffix)
+	}
+	return &ChatRequest{
+		Model: aliModel,
+		Input: Input{
 			Messages: messages,
 		},
-		//Parameters: AliParameters{  // ChatGPT's parameters are not compatible with Ali's
-		//	TopP: request.TopP,
-		//	TopK: 50,
-		//	//Seed:         0,
-		//	//EnableSearch: false,
-		//},
+		Parameters: Parameters{
+			EnableSearch:      enableSearch,
+			IncrementalOutput: request.Stream,
+		},
 	}
 }
 
-func embeddingRequestOpenAI2Ali(request GeneralOpenAIRequest) *AliEmbeddingRequest {
-	return &AliEmbeddingRequest{
+func ConvertEmbeddingRequest(request openai.GeneralOpenAIRequest) *EmbeddingRequest {
+	return &EmbeddingRequest{
 		Model: "text-embedding-v1",
 		Input: struct {
 			Texts []string `json:"texts"`
@@ -115,21 +53,21 @@ func embeddingRequestOpenAI2Ali(request GeneralOpenAIRequest) *AliEmbeddingReque
 	}
 }
 
-func aliEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var aliResponse AliEmbeddingResponse
+func EmbeddingHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var aliResponse EmbeddingResponse
 	err := json.NewDecoder(resp.Body).Decode(&aliResponse)
 	if err != nil {
-		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 
 	err = resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
 
 	if aliResponse.Code != "" {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: aliResponse.Message,
 				Type:    aliResponse.Code,
 				Param:   aliResponse.RequestId,
@@ -142,7 +80,7 @@ func aliEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithS
 	fullTextResponse := embeddingResponseAli2OpenAI(&aliResponse)
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)
@@ -150,16 +88,16 @@ func aliEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithS
 	return nil, &fullTextResponse.Usage
 }
 
-func embeddingResponseAli2OpenAI(response *AliEmbeddingResponse) *OpenAIEmbeddingResponse {
-	openAIEmbeddingResponse := OpenAIEmbeddingResponse{
+func embeddingResponseAli2OpenAI(response *EmbeddingResponse) *openai.EmbeddingResponse {
+	openAIEmbeddingResponse := openai.EmbeddingResponse{
 		Object: "list",
-		Data:   make([]OpenAIEmbeddingResponseItem, 0, len(response.Output.Embeddings)),
+		Data:   make([]openai.EmbeddingResponseItem, 0, len(response.Output.Embeddings)),
 		Model:  "text-embedding-v1",
-		Usage:  Usage{TotalTokens: response.Usage.TotalTokens},
+		Usage:  openai.Usage{TotalTokens: response.Usage.TotalTokens},
 	}
 
 	for _, item := range response.Output.Embeddings {
-		openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, OpenAIEmbeddingResponseItem{
+		openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, openai.EmbeddingResponseItem{
 			Object:    `embedding`,
 			Index:     item.TextIndex,
 			Embedding: item.Embedding,
@@ -168,21 +106,21 @@ func embeddingResponseAli2OpenAI(response *AliEmbeddingResponse) *OpenAIEmbeddin
 	return &openAIEmbeddingResponse
 }
 
-func responseAli2OpenAI(response *AliChatResponse) *OpenAITextResponse {
-	choice := OpenAITextResponseChoice{
+func responseAli2OpenAI(response *ChatResponse) *openai.TextResponse {
+	choice := openai.TextResponseChoice{
 		Index: 0,
-		Message: Message{
+		Message: openai.Message{
 			Role:    "assistant",
 			Content: response.Output.Text,
 		},
 		FinishReason: response.Output.FinishReason,
 	}
-	fullTextResponse := OpenAITextResponse{
+	fullTextResponse := openai.TextResponse{
 		Id:      response.RequestId,
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
-		Choices: []OpenAITextResponseChoice{choice},
-		Usage: Usage{
+		Choices: []openai.TextResponseChoice{choice},
+		Usage: openai.Usage{
 			PromptTokens:     response.Usage.InputTokens,
 			CompletionTokens: response.Usage.OutputTokens,
 			TotalTokens:      response.Usage.InputTokens + response.Usage.OutputTokens,
@@ -191,25 +129,25 @@ func responseAli2OpenAI(response *AliChatResponse) *OpenAITextResponse {
 	return &fullTextResponse
 }
 
-func streamResponseAli2OpenAI(aliResponse *AliChatResponse) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func streamResponseAli2OpenAI(aliResponse *ChatResponse) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = aliResponse.Output.Text
 	if aliResponse.Output.FinishReason != "null" {
 		finishReason := aliResponse.Output.FinishReason
 		choice.FinishReason = &finishReason
 	}
-	response := ChatCompletionsStreamResponse{
+	response := openai.ChatCompletionsStreamResponse{
 		Id:      aliResponse.RequestId,
 		Object:  "chat.completion.chunk",
 		Created: common.GetTimestamp(),
-		Model:   "ernie-bot",
-		Choices: []ChatCompletionsStreamResponseChoice{choice},
+		Model:   "qwen",
+		Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 	}
 	return &response
 }
 
-func aliStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var usage Usage
+func StreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var usage openai.Usage
 	scanner := bufio.NewScanner(resp.Body)
 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
 		if atEOF && len(data) == 0 {
@@ -239,12 +177,12 @@ func aliStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStat
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
-	lastResponseText := ""
+	common.SetEventStreamHeaders(c)
+	//lastResponseText := ""
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
-			var aliResponse AliChatResponse
+			var aliResponse ChatResponse
 			err := json.Unmarshal([]byte(data), &aliResponse)
 			if err != nil {
 				common.SysError("error unmarshalling stream response: " + err.Error())
@@ -256,8 +194,8 @@ func aliStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStat
 				usage.TotalTokens = aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
 			}
 			response := streamResponseAli2OpenAI(&aliResponse)
-			response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
-			lastResponseText = aliResponse.Output.Text
+			//response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
+			//lastResponseText = aliResponse.Output.Text
 			jsonResponse, err := json.Marshal(response)
 			if err != nil {
 				common.SysError("error marshalling stream response: " + err.Error())
@@ -272,28 +210,28 @@ func aliStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStat
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
 	return nil, &usage
 }
 
-func aliHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var aliResponse AliChatResponse
+func Handler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var aliResponse ChatResponse
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
 	err = json.Unmarshal(responseBody, &aliResponse)
 	if err != nil {
-		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if aliResponse.Code != "" {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: aliResponse.Message,
 				Type:    aliResponse.Code,
 				Param:   aliResponse.RequestId,
@@ -303,9 +241,10 @@ func aliHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode
 		}, nil
 	}
 	fullTextResponse := responseAli2OpenAI(&aliResponse)
+	fullTextResponse.Model = "qwen"
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)

relay/channel/ali/model.go

@@ -0,0 +1,71 @@
+package ali
+
+type Message struct {
+	Content string `json:"content"`
+	Role    string `json:"role"`
+}
+
+type Input struct {
+	//Prompt   string       `json:"prompt"`
+	Messages []Message `json:"messages"`
+}
+
+type Parameters struct {
+	TopP              float64 `json:"top_p,omitempty"`
+	TopK              int     `json:"top_k,omitempty"`
+	Seed              uint64  `json:"seed,omitempty"`
+	EnableSearch      bool    `json:"enable_search,omitempty"`
+	IncrementalOutput bool    `json:"incremental_output,omitempty"`
+}
+
+type ChatRequest struct {
+	Model      string     `json:"model"`
+	Input      Input      `json:"input"`
+	Parameters Parameters `json:"parameters,omitempty"`
+}
+
+type EmbeddingRequest struct {
+	Model string `json:"model"`
+	Input struct {
+		Texts []string `json:"texts"`
+	} `json:"input"`
+	Parameters *struct {
+		TextType string `json:"text_type,omitempty"`
+	} `json:"parameters,omitempty"`
+}
+
+type Embedding struct {
+	Embedding []float64 `json:"embedding"`
+	TextIndex int       `json:"text_index"`
+}
+
+type EmbeddingResponse struct {
+	Output struct {
+		Embeddings []Embedding `json:"embeddings"`
+	} `json:"output"`
+	Usage Usage `json:"usage"`
+	Error
+}
+
+type Error struct {
+	Code      string `json:"code"`
+	Message   string `json:"message"`
+	RequestId string `json:"request_id"`
+}
+
+type Usage struct {
+	InputTokens  int `json:"input_tokens"`
+	OutputTokens int `json:"output_tokens"`
+	TotalTokens  int `json:"total_tokens"`
+}
+
+type Output struct {
+	Text         string `json:"text"`
+	FinishReason string `json:"finish_reason"`
+}
+
+type ChatResponse struct {
+	Output Output `json:"output"`
+	Usage  Usage  `json:"usage"`
+	Error
+}

relay/channel/anthropic/main.go

@@ -1,4 +1,4 @@
-package controller
+package anthropic
 
 import (
 	"bufio"
@@ -8,37 +8,10 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
 	"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":
@@ -50,8 +23,8 @@ func stopReasonClaude2OpenAI(reason string) string {
 	}
 }
 
-func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest {
-	claudeRequest := ClaudeRequest{
+func ConvertRequest(textRequest openai.GeneralOpenAIRequest) *Request {
+	claudeRequest := Request{
 		Model:             textRequest.Model,
 		Prompt:            "",
 		MaxTokensToSample: textRequest.MaxTokens,
@@ -80,40 +53,40 @@ func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest {
 	return &claudeRequest
 }
 
-func streamResponseClaude2OpenAI(claudeResponse *ClaudeResponse) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func streamResponseClaude2OpenAI(claudeResponse *Response) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = claudeResponse.Completion
 	finishReason := stopReasonClaude2OpenAI(claudeResponse.StopReason)
 	if finishReason != "null" {
 		choice.FinishReason = &finishReason
 	}
-	var response ChatCompletionsStreamResponse
+	var response openai.ChatCompletionsStreamResponse
 	response.Object = "chat.completion.chunk"
 	response.Model = claudeResponse.Model
-	response.Choices = []ChatCompletionsStreamResponseChoice{choice}
+	response.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
 	return &response
 }
 
-func responseClaude2OpenAI(claudeResponse *ClaudeResponse) *OpenAITextResponse {
-	choice := OpenAITextResponseChoice{
+func responseClaude2OpenAI(claudeResponse *Response) *openai.TextResponse {
+	choice := openai.TextResponseChoice{
 		Index: 0,
-		Message: Message{
+		Message: openai.Message{
 			Role:    "assistant",
 			Content: strings.TrimPrefix(claudeResponse.Completion, " "),
 			Name:    nil,
 		},
 		FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason),
 	}
-	fullTextResponse := OpenAITextResponse{
+	fullTextResponse := openai.TextResponse{
 		Id:      fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
-		Choices: []OpenAITextResponseChoice{choice},
+		Choices: []openai.TextResponseChoice{choice},
 	}
 	return &fullTextResponse
 }
 
-func claudeStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
+func StreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, string) {
 	responseText := ""
 	responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
 	createdTime := common.GetTimestamp()
@@ -143,13 +116,13 @@ func claudeStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithS
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
+	common.SetEventStreamHeaders(c)
 	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
+			var claudeResponse Response
 			err := json.Unmarshal([]byte(data), &claudeResponse)
 			if err != nil {
 				common.SysError("error unmarshalling stream response: " + err.Error())
@@ -173,28 +146,28 @@ func claudeStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithS
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+		return openai.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) {
+func Handler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*openai.ErrorWithStatusCode, *openai.Usage) {
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
-	var claudeResponse ClaudeResponse
+	var claudeResponse Response
 	err = json.Unmarshal(responseBody, &claudeResponse)
 	if err != nil {
-		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if claudeResponse.Error.Type != "" {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: claudeResponse.Error.Message,
 				Type:    claudeResponse.Error.Type,
 				Param:   "",
@@ -204,8 +177,9 @@ func claudeHandler(c *gin.Context, resp *http.Response, promptTokens int, model
 		}, nil
 	}
 	fullTextResponse := responseClaude2OpenAI(&claudeResponse)
-	completionTokens := countTokenText(claudeResponse.Completion, model)
-	usage := Usage{
+	fullTextResponse.Model = model
+	completionTokens := openai.CountTokenText(claudeResponse.Completion, model)
+	usage := openai.Usage{
 		PromptTokens:     promptTokens,
 		CompletionTokens: completionTokens,
 		TotalTokens:      promptTokens + completionTokens,
@@ -213,7 +187,7 @@ func claudeHandler(c *gin.Context, resp *http.Response, promptTokens int, model
 	fullTextResponse.Usage = usage
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)

relay/channel/anthropic/model.go

@@ -0,0 +1,29 @@
+package anthropic
+
+type Metadata struct {
+	UserId string `json:"user_id"`
+}
+
+type Request 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"`
+	//Metadata    `json:"metadata,omitempty"`
+	Stream bool `json:"stream,omitempty"`
+}
+
+type Error struct {
+	Type    string `json:"type"`
+	Message string `json:"message"`
+}
+
+type Response struct {
+	Completion string `json:"completion"`
+	StopReason string `json:"stop_reason"`
+	Model      string `json:"model"`
+	Error      Error  `json:"error"`
+}

relay/channel/baidu/main.go

@@ -1,4 +1,4 @@
-package controller
+package baidu
 
 import (
 	"bufio"
@@ -9,6 +9,9 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
+	"one-api/relay/util"
 	"strings"
 	"sync"
 	"time"
@@ -37,53 +40,9 @@ type BaiduError struct {
 	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"`
-}
-
-type BaiduEmbeddingRequest struct {
-	Input []string `json:"input"`
-}
-
-type BaiduEmbeddingData struct {
-	Object    string    `json:"object"`
-	Embedding []float64 `json:"embedding"`
-	Index     int       `json:"index"`
-}
-
-type BaiduEmbeddingResponse struct {
-	Id      string               `json:"id"`
-	Object  string               `json:"object"`
-	Created int64                `json:"created"`
-	Data    []BaiduEmbeddingData `json:"data"`
-	Usage   Usage                `json:"usage"`
-	BaiduError
-}
-
-type BaiduAccessToken struct {
-	AccessToken      string    `json:"access_token"`
-	Error            string    `json:"error,omitempty"`
-	ErrorDescription string    `json:"error_description,omitempty"`
-	ExpiresIn        int64     `json:"expires_in,omitempty"`
-	ExpiresAt        time.Time `json:"-"`
-}
-
 var baiduTokenStore sync.Map
 
-func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
+func ConvertRequest(request openai.GeneralOpenAIRequest) *BaiduChatRequest {
 	messages := make([]BaiduMessage, 0, len(request.Messages))
 	for _, message := range request.Messages {
 		if message.Role == "system" {
@@ -108,56 +67,56 @@ func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
 	}
 }
 
-func responseBaidu2OpenAI(response *BaiduChatResponse) *OpenAITextResponse {
-	choice := OpenAITextResponseChoice{
+func responseBaidu2OpenAI(response *ChatResponse) *openai.TextResponse {
+	choice := openai.TextResponseChoice{
 		Index: 0,
-		Message: Message{
+		Message: openai.Message{
 			Role:    "assistant",
 			Content: response.Result,
 		},
 		FinishReason: "stop",
 	}
-	fullTextResponse := OpenAITextResponse{
+	fullTextResponse := openai.TextResponse{
 		Id:      response.Id,
 		Object:  "chat.completion",
 		Created: response.Created,
-		Choices: []OpenAITextResponseChoice{choice},
+		Choices: []openai.TextResponseChoice{choice},
 		Usage:   response.Usage,
 	}
 	return &fullTextResponse
 }
 
-func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func streamResponseBaidu2OpenAI(baiduResponse *ChatStreamResponse) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = baiduResponse.Result
 	if baiduResponse.IsEnd {
-		choice.FinishReason = &stopFinishReason
+		choice.FinishReason = &constant.StopFinishReason
 	}
-	response := ChatCompletionsStreamResponse{
+	response := openai.ChatCompletionsStreamResponse{
 		Id:      baiduResponse.Id,
 		Object:  "chat.completion.chunk",
 		Created: baiduResponse.Created,
 		Model:   "ernie-bot",
-		Choices: []ChatCompletionsStreamResponseChoice{choice},
+		Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 	}
 	return &response
 }
 
-func embeddingRequestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduEmbeddingRequest {
-	return &BaiduEmbeddingRequest{
+func ConvertEmbeddingRequest(request openai.GeneralOpenAIRequest) *EmbeddingRequest {
+	return &EmbeddingRequest{
 		Input: request.ParseInput(),
 	}
 }
 
-func embeddingResponseBaidu2OpenAI(response *BaiduEmbeddingResponse) *OpenAIEmbeddingResponse {
-	openAIEmbeddingResponse := OpenAIEmbeddingResponse{
+func embeddingResponseBaidu2OpenAI(response *EmbeddingResponse) *openai.EmbeddingResponse {
+	openAIEmbeddingResponse := openai.EmbeddingResponse{
 		Object: "list",
-		Data:   make([]OpenAIEmbeddingResponseItem, 0, len(response.Data)),
+		Data:   make([]openai.EmbeddingResponseItem, 0, len(response.Data)),
 		Model:  "baidu-embedding",
 		Usage:  response.Usage,
 	}
 	for _, item := range response.Data {
-		openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, OpenAIEmbeddingResponseItem{
+		openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, openai.EmbeddingResponseItem{
 			Object:    item.Object,
 			Index:     item.Index,
 			Embedding: item.Embedding,
@@ -166,8 +125,8 @@ func embeddingResponseBaidu2OpenAI(response *BaiduEmbeddingResponse) *OpenAIEmbe
 	return &openAIEmbeddingResponse
 }
 
-func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var usage Usage
+func StreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var usage openai.Usage
 	scanner := bufio.NewScanner(resp.Body)
 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
 		if atEOF && len(data) == 0 {
@@ -194,11 +153,11 @@ func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
+	common.SetEventStreamHeaders(c)
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
-			var baiduResponse BaiduChatStreamResponse
+			var baiduResponse ChatStreamResponse
 			err := json.Unmarshal([]byte(data), &baiduResponse)
 			if err != nil {
 				common.SysError("error unmarshalling stream response: " + err.Error())
@@ -224,28 +183,28 @@ func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+func Handler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var baiduResponse ChatResponse
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.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
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if baiduResponse.ErrorMsg != "" {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: baiduResponse.ErrorMsg,
 				Type:    "baidu_error",
 				Param:   "",
@@ -255,9 +214,10 @@ func baiduHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCo
 		}, nil
 	}
 	fullTextResponse := responseBaidu2OpenAI(&baiduResponse)
+	fullTextResponse.Model = "ernie-bot"
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)
@@ -265,23 +225,23 @@ func baiduHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCo
 	return nil, &fullTextResponse.Usage
 }
 
-func baiduEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var baiduResponse BaiduEmbeddingResponse
+func EmbeddingHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var baiduResponse EmbeddingResponse
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.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
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if baiduResponse.ErrorMsg != "" {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: baiduResponse.ErrorMsg,
 				Type:    "baidu_error",
 				Param:   "",
@@ -293,7 +253,7 @@ func baiduEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWit
 	fullTextResponse := embeddingResponseBaidu2OpenAI(&baiduResponse)
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)
@@ -301,10 +261,10 @@ func baiduEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWit
 	return nil, &fullTextResponse.Usage
 }
 
-func getBaiduAccessToken(apiKey string) (string, error) {
+func GetAccessToken(apiKey string) (string, error) {
 	if val, ok := baiduTokenStore.Load(apiKey); ok {
-		var accessToken BaiduAccessToken
-		if accessToken, ok = val.(BaiduAccessToken); ok {
+		var accessToken AccessToken
+		if accessToken, ok = val.(AccessToken); ok {
 			// soon this will expire
 			if time.Now().Add(time.Hour).After(accessToken.ExpiresAt) {
 				go func() {
@@ -319,12 +279,12 @@ func getBaiduAccessToken(apiKey string) (string, error) {
 		return "", err
 	}
 	if accessToken == nil {
-		return "", errors.New("getBaiduAccessToken return a nil token")
+		return "", errors.New("GetAccessToken return a nil token")
 	}
 	return (*accessToken).AccessToken, nil
 }
 
-func getBaiduAccessTokenHelper(apiKey string) (*BaiduAccessToken, error) {
+func getBaiduAccessTokenHelper(apiKey string) (*AccessToken, error) {
 	parts := strings.Split(apiKey, "|")
 	if len(parts) != 2 {
 		return nil, errors.New("invalid baidu apikey")
@@ -336,13 +296,13 @@ func getBaiduAccessTokenHelper(apiKey string) (*BaiduAccessToken, error) {
 	}
 	req.Header.Add("Content-Type", "application/json")
 	req.Header.Add("Accept", "application/json")
-	res, err := impatientHTTPClient.Do(req)
+	res, err := util.ImpatientHTTPClient.Do(req)
 	if err != nil {
 		return nil, err
 	}
 	defer res.Body.Close()
 
-	var accessToken BaiduAccessToken
+	var accessToken AccessToken
 	err = json.NewDecoder(res.Body).Decode(&accessToken)
 	if err != nil {
 		return nil, err

relay/channel/baidu/model.go

@@ -0,0 +1,50 @@
+package baidu
+
+import (
+	"one-api/relay/channel/openai"
+	"time"
+)
+
+type ChatResponse 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            openai.Usage `json:"usage"`
+	BaiduError
+}
+
+type ChatStreamResponse struct {
+	ChatResponse
+	SentenceId int  `json:"sentence_id"`
+	IsEnd      bool `json:"is_end"`
+}
+
+type EmbeddingRequest struct {
+	Input []string `json:"input"`
+}
+
+type EmbeddingData struct {
+	Object    string    `json:"object"`
+	Embedding []float64 `json:"embedding"`
+	Index     int       `json:"index"`
+}
+
+type EmbeddingResponse struct {
+	Id      string          `json:"id"`
+	Object  string          `json:"object"`
+	Created int64           `json:"created"`
+	Data    []EmbeddingData `json:"data"`
+	Usage   openai.Usage    `json:"usage"`
+	BaiduError
+}
+
+type AccessToken struct {
+	AccessToken      string    `json:"access_token"`
+	Error            string    `json:"error,omitempty"`
+	ErrorDescription string    `json:"error_description,omitempty"`
+	ExpiresIn        int64     `json:"expires_in,omitempty"`
+	ExpiresAt        time.Time `json:"-"`
+}

relay/channel/google/gemini.go

@@ -1,4 +1,4 @@
-package controller
+package google
 
 import (
 	"bufio"
@@ -7,73 +7,42 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/common/image"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
 	"strings"
 
 	"github.com/gin-gonic/gin"
 )
 
-type GeminiChatRequest struct {
-	Contents         []GeminiChatContent        `json:"contents"`
-	SafetySettings   []GeminiChatSafetySettings `json:"safety_settings,omitempty"`
-	GenerationConfig GeminiChatGenerationConfig `json:"generation_config,omitempty"`
-	Tools            []GeminiChatTools          `json:"tools,omitempty"`
-}
+// https://ai.google.dev/docs/gemini_api_overview?hl=zh-cn
 
-type GeminiInlineData struct {
-	MimeType string `json:"mimeType"`
-	Data     string `json:"data"`
-}
-
-type GeminiPart struct {
-	Text       string            `json:"text,omitempty"`
-	InlineData *GeminiInlineData `json:"inlineData,omitempty"`
-}
-
-type GeminiChatContent struct {
-	Role  string       `json:"role,omitempty"`
-	Parts []GeminiPart `json:"parts"`
-}
-
-type GeminiChatSafetySettings struct {
-	Category  string `json:"category"`
-	Threshold string `json:"threshold"`
-}
-
-type GeminiChatTools struct {
-	FunctionDeclarations any `json:"functionDeclarations,omitempty"`
-}
-
-type GeminiChatGenerationConfig struct {
-	Temperature     float64  `json:"temperature,omitempty"`
-	TopP            float64  `json:"topP,omitempty"`
-	TopK            float64  `json:"topK,omitempty"`
-	MaxOutputTokens int      `json:"maxOutputTokens,omitempty"`
-	CandidateCount  int      `json:"candidateCount,omitempty"`
-	StopSequences   []string `json:"stopSequences,omitempty"`
-}
+const (
+	GeminiVisionMaxImageNum = 16
+)
 
 // Setting safety to the lowest possible values since Gemini is already powerless enough
-func requestOpenAI2Gemini(textRequest GeneralOpenAIRequest) *GeminiChatRequest {
+func ConvertGeminiRequest(textRequest openai.GeneralOpenAIRequest) *GeminiChatRequest {
 	geminiRequest := GeminiChatRequest{
 		Contents: make([]GeminiChatContent, 0, len(textRequest.Messages)),
-		//SafetySettings: []GeminiChatSafetySettings{
-		//	{
-		//		Category:  "HARM_CATEGORY_HARASSMENT",
-		//		Threshold: "BLOCK_ONLY_HIGH",
-		//	},
-		//	{
-		//		Category:  "HARM_CATEGORY_HATE_SPEECH",
-		//		Threshold: "BLOCK_ONLY_HIGH",
-		//	},
-		//	{
-		//		Category:  "HARM_CATEGORY_SEXUALLY_EXPLICIT",
-		//		Threshold: "BLOCK_ONLY_HIGH",
-		//	},
-		//	{
-		//		Category:  "HARM_CATEGORY_DANGEROUS_CONTENT",
-		//		Threshold: "BLOCK_ONLY_HIGH",
-		//	},
-		//},
+		SafetySettings: []GeminiChatSafetySettings{
+			{
+				Category:  "HARM_CATEGORY_HARASSMENT",
+				Threshold: common.GeminiSafetySetting,
+			},
+			{
+				Category:  "HARM_CATEGORY_HATE_SPEECH",
+				Threshold: common.GeminiSafetySetting,
+			},
+			{
+				Category:  "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+				Threshold: common.GeminiSafetySetting,
+			},
+			{
+				Category:  "HARM_CATEGORY_DANGEROUS_CONTENT",
+				Threshold: common.GeminiSafetySetting,
+			},
+		},
 		GenerationConfig: GeminiChatGenerationConfig{
 			Temperature:     textRequest.Temperature,
 			TopP:            textRequest.TopP,
@@ -97,6 +66,30 @@ func requestOpenAI2Gemini(textRequest GeneralOpenAIRequest) *GeminiChatRequest {
 				},
 			},
 		}
+		openaiContent := message.ParseContent()
+		var parts []GeminiPart
+		imageNum := 0
+		for _, part := range openaiContent {
+			if part.Type == openai.ContentTypeText {
+				parts = append(parts, GeminiPart{
+					Text: part.Text,
+				})
+			} else if part.Type == openai.ContentTypeImageURL {
+				imageNum += 1
+				if imageNum > GeminiVisionMaxImageNum {
+					continue
+				}
+				mimeType, data, _ := image.GetImageFromUrl(part.ImageURL.Url)
+				parts = append(parts, GeminiPart{
+					InlineData: &GeminiInlineData{
+						MimeType: mimeType,
+						Data:     data,
+					},
+				})
+			}
+		}
+		content.Parts = parts
+
 		// there's no assistant role in gemini and API shall vomit if Role is not user or model
 		if content.Role == "assistant" {
 			content.Role = "model"
@@ -156,21 +149,21 @@ type GeminiChatPromptFeedback struct {
 	SafetyRatings []GeminiChatSafetyRating `json:"safetyRatings"`
 }
 
-func responseGeminiChat2OpenAI(response *GeminiChatResponse) *OpenAITextResponse {
-	fullTextResponse := OpenAITextResponse{
+func responseGeminiChat2OpenAI(response *GeminiChatResponse) *openai.TextResponse {
+	fullTextResponse := openai.TextResponse{
 		Id:      fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
-		Choices: make([]OpenAITextResponseChoice, 0, len(response.Candidates)),
+		Choices: make([]openai.TextResponseChoice, 0, len(response.Candidates)),
 	}
 	for i, candidate := range response.Candidates {
-		choice := OpenAITextResponseChoice{
+		choice := openai.TextResponseChoice{
 			Index: i,
-			Message: Message{
+			Message: openai.Message{
 				Role:    "assistant",
 				Content: "",
 			},
-			FinishReason: stopFinishReason,
+			FinishReason: constant.StopFinishReason,
 		}
 		if len(candidate.Content.Parts) > 0 {
 			choice.Message.Content = candidate.Content.Parts[0].Text
@@ -180,18 +173,18 @@ func responseGeminiChat2OpenAI(response *GeminiChatResponse) *OpenAITextResponse
 	return &fullTextResponse
 }
 
-func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = geminiResponse.GetResponseText()
-	choice.FinishReason = &stopFinishReason
-	var response ChatCompletionsStreamResponse
+	choice.FinishReason = &constant.StopFinishReason
+	var response openai.ChatCompletionsStreamResponse
 	response.Object = "chat.completion.chunk"
 	response.Model = "gemini"
-	response.Choices = []ChatCompletionsStreamResponseChoice{choice}
+	response.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
 	return &response
 }
 
-func geminiChatStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
+func StreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, string) {
 	responseText := ""
 	dataChan := make(chan string)
 	stopChan := make(chan bool)
@@ -221,7 +214,7 @@ func geminiChatStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorW
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
+	common.SetEventStreamHeaders(c)
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
@@ -233,14 +226,14 @@ func geminiChatStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorW
 			var dummy dummyStruct
 			err := json.Unmarshal([]byte(data), &dummy)
 			responseText += dummy.Content
-			var choice ChatCompletionsStreamResponseChoice
+			var choice openai.ChatCompletionsStreamResponseChoice
 			choice.Delta.Content = dummy.Content
-			response := ChatCompletionsStreamResponse{
+			response := openai.ChatCompletionsStreamResponse{
 				Id:      fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
 				Object:  "chat.completion.chunk",
 				Created: common.GetTimestamp(),
 				Model:   "gemini-pro",
-				Choices: []ChatCompletionsStreamResponseChoice{choice},
+				Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 			}
 			jsonResponse, err := json.Marshal(response)
 			if err != nil {
@@ -256,28 +249,28 @@ func geminiChatStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorW
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
 	}
 	return nil, responseText
 }
 
-func geminiChatHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
+func GeminiHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*openai.ErrorWithStatusCode, *openai.Usage) {
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
 	var geminiResponse GeminiChatResponse
 	err = json.Unmarshal(responseBody, &geminiResponse)
 	if err != nil {
-		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if len(geminiResponse.Candidates) == 0 {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: "No candidates returned",
 				Type:    "server_error",
 				Param:   "",
@@ -287,8 +280,9 @@ func geminiChatHandler(c *gin.Context, resp *http.Response, promptTokens int, mo
 		}, nil
 	}
 	fullTextResponse := responseGeminiChat2OpenAI(&geminiResponse)
-	completionTokens := countTokenText(geminiResponse.GetResponseText(), model)
-	usage := Usage{
+	fullTextResponse.Model = model
+	completionTokens := openai.CountTokenText(geminiResponse.GetResponseText(), model)
+	usage := openai.Usage{
 		PromptTokens:     promptTokens,
 		CompletionTokens: completionTokens,
 		TotalTokens:      promptTokens + completionTokens,
@@ -296,7 +290,7 @@ func geminiChatHandler(c *gin.Context, resp *http.Response, promptTokens int, mo
 	fullTextResponse.Usage = usage
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)

relay/channel/google/model.go

@@ -0,0 +1,80 @@
+package google
+
+import (
+	"one-api/relay/channel/openai"
+)
+
+type GeminiChatRequest struct {
+	Contents         []GeminiChatContent        `json:"contents"`
+	SafetySettings   []GeminiChatSafetySettings `json:"safety_settings,omitempty"`
+	GenerationConfig GeminiChatGenerationConfig `json:"generation_config,omitempty"`
+	Tools            []GeminiChatTools          `json:"tools,omitempty"`
+}
+
+type GeminiInlineData struct {
+	MimeType string `json:"mimeType"`
+	Data     string `json:"data"`
+}
+
+type GeminiPart struct {
+	Text       string            `json:"text,omitempty"`
+	InlineData *GeminiInlineData `json:"inlineData,omitempty"`
+}
+
+type GeminiChatContent struct {
+	Role  string       `json:"role,omitempty"`
+	Parts []GeminiPart `json:"parts"`
+}
+
+type GeminiChatSafetySettings struct {
+	Category  string `json:"category"`
+	Threshold string `json:"threshold"`
+}
+
+type GeminiChatTools struct {
+	FunctionDeclarations any `json:"functionDeclarations,omitempty"`
+}
+
+type GeminiChatGenerationConfig struct {
+	Temperature     float64  `json:"temperature,omitempty"`
+	TopP            float64  `json:"topP,omitempty"`
+	TopK            float64  `json:"topK,omitempty"`
+	MaxOutputTokens int      `json:"maxOutputTokens,omitempty"`
+	CandidateCount  int      `json:"candidateCount,omitempty"`
+	StopSequences   []string `json:"stopSequences,omitempty"`
+}
+
+type PaLMChatMessage struct {
+	Author  string `json:"author"`
+	Content string `json:"content"`
+}
+
+type PaLMFilter struct {
+	Reason  string `json:"reason"`
+	Message string `json:"message"`
+}
+
+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"`
+}
+
+type PaLMChatResponse struct {
+	Candidates []PaLMChatMessage `json:"candidates"`
+	Messages   []openai.Message  `json:"messages"`
+	Filters    []PaLMFilter      `json:"filters"`
+	Error      PaLMError         `json:"error"`
+}

relay/channel/google/palm.go

@@ -1,4 +1,4 @@
-package controller
+package google
 
 import (
 	"encoding/json"
@@ -7,47 +7,14 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
 )
 
 // 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"`
-}
-
-type PaLMFilter struct {
-	Reason  string `json:"reason"`
-	Message string `json:"message"`
-}
-
-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"`
-}
-
-type PaLMChatResponse struct {
-	Candidates []PaLMChatMessage `json:"candidates"`
-	Messages   []Message         `json:"messages"`
-	Filters    []PaLMFilter      `json:"filters"`
-	Error      PaLMError         `json:"error"`
-}
-
-func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
+func ConvertPaLMRequest(textRequest openai.GeneralOpenAIRequest) *PaLMChatRequest {
 	palmRequest := PaLMChatRequest{
 		Prompt: PaLMPrompt{
 			Messages: make([]PaLMChatMessage, 0, len(textRequest.Messages)),
@@ -71,14 +38,14 @@ func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
 	return &palmRequest
 }
 
-func responsePaLM2OpenAI(response *PaLMChatResponse) *OpenAITextResponse {
-	fullTextResponse := OpenAITextResponse{
-		Choices: make([]OpenAITextResponseChoice, 0, len(response.Candidates)),
+func responsePaLM2OpenAI(response *PaLMChatResponse) *openai.TextResponse {
+	fullTextResponse := openai.TextResponse{
+		Choices: make([]openai.TextResponseChoice, 0, len(response.Candidates)),
 	}
 	for i, candidate := range response.Candidates {
-		choice := OpenAITextResponseChoice{
+		choice := openai.TextResponseChoice{
 			Index: i,
-			Message: Message{
+			Message: openai.Message{
 				Role:    "assistant",
 				Content: candidate.Content,
 			},
@@ -89,20 +56,20 @@ func responsePaLM2OpenAI(response *PaLMChatResponse) *OpenAITextResponse {
 	return &fullTextResponse
 }
 
-func streamResponsePaLM2OpenAI(palmResponse *PaLMChatResponse) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func streamResponsePaLM2OpenAI(palmResponse *PaLMChatResponse) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	if len(palmResponse.Candidates) > 0 {
 		choice.Delta.Content = palmResponse.Candidates[0].Content
 	}
-	choice.FinishReason = &stopFinishReason
-	var response ChatCompletionsStreamResponse
+	choice.FinishReason = &constant.StopFinishReason
+	var response openai.ChatCompletionsStreamResponse
 	response.Object = "chat.completion.chunk"
 	response.Model = "palm2"
-	response.Choices = []ChatCompletionsStreamResponseChoice{choice}
+	response.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
 	return &response
 }
 
-func palmStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
+func PaLMStreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, string) {
 	responseText := ""
 	responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
 	createdTime := common.GetTimestamp()
@@ -143,7 +110,7 @@ func palmStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSta
 		dataChan <- string(jsonResponse)
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
+	common.SetEventStreamHeaders(c)
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
@@ -156,28 +123,28 @@ func palmStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSta
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
 	}
 	return nil, responseText
 }
 
-func palmHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
+func PaLMHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*openai.ErrorWithStatusCode, *openai.Usage) {
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.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
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if palmResponse.Error.Code != 0 || len(palmResponse.Candidates) == 0 {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: palmResponse.Error.Message,
 				Type:    palmResponse.Error.Status,
 				Param:   "",
@@ -187,8 +154,9 @@ func palmHandler(c *gin.Context, resp *http.Response, promptTokens int, model st
 		}, nil
 	}
 	fullTextResponse := responsePaLM2OpenAI(&palmResponse)
-	completionTokens := countTokenText(palmResponse.Candidates[0].Content, model)
-	usage := Usage{
+	fullTextResponse.Model = model
+	completionTokens := openai.CountTokenText(palmResponse.Candidates[0].Content, model)
+	usage := openai.Usage{
 		PromptTokens:     promptTokens,
 		CompletionTokens: completionTokens,
 		TotalTokens:      promptTokens + completionTokens,
@@ -196,7 +164,7 @@ func palmHandler(c *gin.Context, resp *http.Response, promptTokens int, model st
 	fullTextResponse.Usage = usage
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)

relay/channel/openai/constant.go

@@ -0,0 +1,6 @@
+package openai
+
+const (
+	ContentTypeText     = "text"
+	ContentTypeImageURL = "image_url"
+)

relay/channel/openai/main.go

@@ -1,4 +1,4 @@
-package controller
+package openai
 
 import (
 	"bufio"
@@ -8,10 +8,11 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/constant"
 	"strings"
 )
 
-func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*OpenAIErrorWithStatusCode, string) {
+func StreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*ErrorWithStatusCode, string) {
 	responseText := ""
 	scanner := bufio.NewScanner(resp.Body)
 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
@@ -41,7 +42,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 			data = data[6:]
 			if !strings.HasPrefix(data, "[DONE]") {
 				switch relayMode {
-				case RelayModeChatCompletions:
+				case constant.RelayModeChatCompletions:
 					var streamResponse ChatCompletionsStreamResponse
 					err := json.Unmarshal([]byte(data), &streamResponse)
 					if err != nil {
@@ -51,7 +52,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 					for _, choice := range streamResponse.Choices {
 						responseText += choice.Delta.Content
 					}
-				case RelayModeCompletions:
+				case constant.RelayModeCompletions:
 					var streamResponse CompletionsStreamResponse
 					err := json.Unmarshal([]byte(data), &streamResponse)
 					if err != nil {
@@ -66,7 +67,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
+	common.SetEventStreamHeaders(c)
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
@@ -83,29 +84,29 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+		return ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
 	}
 	return nil, responseText
 }
 
-func openaiHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
-	var textResponse TextResponse
+func Handler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*ErrorWithStatusCode, *Usage) {
+	var textResponse SlimTextResponse
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), 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
+		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
+		return ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if textResponse.Error.Type != "" {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: textResponse.Error,
-			StatusCode:  resp.StatusCode,
+		return &ErrorWithStatusCode{
+			Error:      textResponse.Error,
+			StatusCode: resp.StatusCode,
 		}, nil
 	}
 	// Reset response body
@@ -113,7 +114,7 @@ func openaiHandler(c *gin.Context, resp *http.Response, promptTokens int, model
 
 	// 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 httpClient will be confused by the response.
+	// So the HTTPClient 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])
@@ -121,17 +122,17 @@ func openaiHandler(c *gin.Context, resp *http.Response, promptTokens int, model
 	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
+		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 ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
 
 	if textResponse.Usage.TotalTokens == 0 {
 		completionTokens := 0
 		for _, choice := range textResponse.Choices {
-			completionTokens += countTokenText(choice.Message.StringContent(), model)
+			completionTokens += CountTokenText(choice.Message.StringContent(), model)
 		}
 		textResponse.Usage = Usage{
 			PromptTokens:     promptTokens,

relay/channel/openai/model.go

@@ -0,0 +1,283 @@
+package openai
+
+type Message struct {
+	Role    string  `json:"role"`
+	Content any     `json:"content"`
+	Name    *string `json:"name,omitempty"`
+}
+
+type ImageURL struct {
+	Url    string `json:"url,omitempty"`
+	Detail string `json:"detail,omitempty"`
+}
+
+type TextContent struct {
+	Type string `json:"type,omitempty"`
+	Text string `json:"text,omitempty"`
+}
+
+type ImageContent struct {
+	Type     string    `json:"type,omitempty"`
+	ImageURL *ImageURL `json:"image_url,omitempty"`
+}
+
+type OpenAIMessageContent struct {
+	Type     string    `json:"type,omitempty"`
+	Text     string    `json:"text"`
+	ImageURL *ImageURL `json:"image_url,omitempty"`
+}
+
+func (m Message) IsStringContent() bool {
+	_, ok := m.Content.(string)
+	return ok
+}
+
+func (m Message) StringContent() string {
+	content, ok := m.Content.(string)
+	if ok {
+		return content
+	}
+	contentList, ok := m.Content.([]any)
+	if ok {
+		var contentStr string
+		for _, contentItem := range contentList {
+			contentMap, ok := contentItem.(map[string]any)
+			if !ok {
+				continue
+			}
+			if contentMap["type"] == ContentTypeText {
+				if subStr, ok := contentMap["text"].(string); ok {
+					contentStr += subStr
+				}
+			}
+		}
+		return contentStr
+	}
+	return ""
+}
+
+func (m Message) ParseContent() []OpenAIMessageContent {
+	var contentList []OpenAIMessageContent
+	content, ok := m.Content.(string)
+	if ok {
+		contentList = append(contentList, OpenAIMessageContent{
+			Type: ContentTypeText,
+			Text: content,
+		})
+		return contentList
+	}
+	anyList, ok := m.Content.([]any)
+	if ok {
+		for _, contentItem := range anyList {
+			contentMap, ok := contentItem.(map[string]any)
+			if !ok {
+				continue
+			}
+			switch contentMap["type"] {
+			case ContentTypeText:
+				if subStr, ok := contentMap["text"].(string); ok {
+					contentList = append(contentList, OpenAIMessageContent{
+						Type: ContentTypeText,
+						Text: subStr,
+					})
+				}
+			case ContentTypeImageURL:
+				if subObj, ok := contentMap["image_url"].(map[string]any); ok {
+					contentList = append(contentList, OpenAIMessageContent{
+						Type: ContentTypeImageURL,
+						ImageURL: &ImageURL{
+							Url: subObj["url"].(string),
+						},
+					})
+				}
+			}
+		}
+		return contentList
+	}
+	return nil
+}
+
+type ResponseFormat struct {
+	Type string `json:"type,omitempty"`
+}
+
+type GeneralOpenAIRequest struct {
+	Model            string          `json:"model,omitempty"`
+	Messages         []Message       `json:"messages,omitempty"`
+	Prompt           any             `json:"prompt,omitempty"`
+	Stream           bool            `json:"stream,omitempty"`
+	MaxTokens        int             `json:"max_tokens,omitempty"`
+	Temperature      float64         `json:"temperature,omitempty"`
+	TopP             float64         `json:"top_p,omitempty"`
+	N                int             `json:"n,omitempty"`
+	Input            any             `json:"input,omitempty"`
+	Instruction      string          `json:"instruction,omitempty"`
+	Size             string          `json:"size,omitempty"`
+	Functions        any             `json:"functions,omitempty"`
+	FrequencyPenalty float64         `json:"frequency_penalty,omitempty"`
+	PresencePenalty  float64         `json:"presence_penalty,omitempty"`
+	ResponseFormat   *ResponseFormat `json:"response_format,omitempty"`
+	Seed             float64         `json:"seed,omitempty"`
+	Tools            any             `json:"tools,omitempty"`
+	ToolChoice       any             `json:"tool_choice,omitempty"`
+	User             string          `json:"user,omitempty"`
+}
+
+func (r GeneralOpenAIRequest) ParseInput() []string {
+	if r.Input == nil {
+		return nil
+	}
+	var input []string
+	switch r.Input.(type) {
+	case string:
+		input = []string{r.Input.(string)}
+	case []any:
+		input = make([]string, 0, len(r.Input.([]any)))
+		for _, item := range r.Input.([]any) {
+			if str, ok := item.(string); ok {
+				input = append(input, str)
+			}
+		}
+	}
+	return input
+}
+
+type ChatRequest struct {
+	Model     string    `json:"model"`
+	Messages  []Message `json:"messages"`
+	MaxTokens int       `json:"max_tokens"`
+}
+
+type TextRequest struct {
+	Model     string    `json:"model"`
+	Messages  []Message `json:"messages"`
+	Prompt    string    `json:"prompt"`
+	MaxTokens int       `json:"max_tokens"`
+	//Stream   bool      `json:"stream"`
+}
+
+// ImageRequest docs: https://platform.openai.com/docs/api-reference/images/create
+type ImageRequest struct {
+	Model          string `json:"model"`
+	Prompt         string `json:"prompt" binding:"required"`
+	N              int    `json:"n,omitempty"`
+	Size           string `json:"size,omitempty"`
+	Quality        string `json:"quality,omitempty"`
+	ResponseFormat string `json:"response_format,omitempty"`
+	Style          string `json:"style,omitempty"`
+	User           string `json:"user,omitempty"`
+}
+
+type WhisperJSONResponse struct {
+	Text string `json:"text,omitempty"`
+}
+
+type WhisperVerboseJSONResponse struct {
+	Task     string    `json:"task,omitempty"`
+	Language string    `json:"language,omitempty"`
+	Duration float64   `json:"duration,omitempty"`
+	Text     string    `json:"text,omitempty"`
+	Segments []Segment `json:"segments,omitempty"`
+}
+
+type Segment struct {
+	Id               int     `json:"id"`
+	Seek             int     `json:"seek"`
+	Start            float64 `json:"start"`
+	End              float64 `json:"end"`
+	Text             string  `json:"text"`
+	Tokens           []int   `json:"tokens"`
+	Temperature      float64 `json:"temperature"`
+	AvgLogprob       float64 `json:"avg_logprob"`
+	CompressionRatio float64 `json:"compression_ratio"`
+	NoSpeechProb     float64 `json:"no_speech_prob"`
+}
+
+type TextToSpeechRequest struct {
+	Model          string  `json:"model" binding:"required"`
+	Input          string  `json:"input" binding:"required"`
+	Voice          string  `json:"voice" binding:"required"`
+	Speed          float64 `json:"speed"`
+	ResponseFormat string  `json:"response_format"`
+}
+
+type Usage struct {
+	PromptTokens     int `json:"prompt_tokens"`
+	CompletionTokens int `json:"completion_tokens"`
+	TotalTokens      int `json:"total_tokens"`
+}
+
+type Error struct {
+	Message string `json:"message"`
+	Type    string `json:"type"`
+	Param   string `json:"param"`
+	Code    any    `json:"code"`
+}
+
+type ErrorWithStatusCode struct {
+	Error
+	StatusCode int `json:"status_code"`
+}
+
+type SlimTextResponse struct {
+	Choices []TextResponseChoice `json:"choices"`
+	Usage   `json:"usage"`
+	Error   Error `json:"error"`
+}
+
+type TextResponseChoice struct {
+	Index        int `json:"index"`
+	Message      `json:"message"`
+	FinishReason string `json:"finish_reason"`
+}
+
+type TextResponse struct {
+	Id      string               `json:"id"`
+	Model   string               `json:"model,omitempty"`
+	Object  string               `json:"object"`
+	Created int64                `json:"created"`
+	Choices []TextResponseChoice `json:"choices"`
+	Usage   `json:"usage"`
+}
+
+type EmbeddingResponseItem struct {
+	Object    string    `json:"object"`
+	Index     int       `json:"index"`
+	Embedding []float64 `json:"embedding"`
+}
+
+type EmbeddingResponse struct {
+	Object string                  `json:"object"`
+	Data   []EmbeddingResponseItem `json:"data"`
+	Model  string                  `json:"model"`
+	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,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 {
+	Choices []struct {
+		Text         string `json:"text"`
+		FinishReason string `json:"finish_reason"`
+	} `json:"choices"`
+}

relay/channel/openai/token.go

@@ -1,25 +1,15 @@
-package controller
+package openai
 
 import (
-	"context"
-	"encoding/json"
 	"errors"
 	"fmt"
-	"io"
+	"github.com/pkoukk/tiktoken-go"
 	"math"
-	"net/http"
 	"one-api/common"
 	"one-api/common/image"
-	"one-api/model"
-	"strconv"
 	"strings"
-
-	"github.com/gin-gonic/gin"
-	"github.com/pkoukk/tiktoken-go"
 )
 
-var stopFinishReason = "stop"
-
 // tokenEncoderMap won't grow after initialization
 var tokenEncoderMap = map[string]*tiktoken.Tiktoken{}
 var defaultTokenEncoder *tiktoken.Tiktoken
@@ -71,7 +61,7 @@ func getTokenNum(tokenEncoder *tiktoken.Tiktoken, text string) int {
 	return len(tokenEncoder.Encode(text, nil, nil))
 }
 
-func countTokenMessages(messages []Message, model string) int {
+func CountTokenMessages(messages []Message, model string) int {
 	tokenEncoder := getTokenEncoder(model)
 	// Reference:
 	// https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
@@ -195,191 +185,21 @@ func countImageTokens(url string, detail string) (_ int, err error) {
 	}
 }
 
-func countTokenInput(input any, model string) int {
+func CountTokenInput(input any, model string) int {
 	switch v := input.(type) {
 	case string:
-		return countTokenText(v, model)
+		return CountTokenText(v, model)
 	case []string:
 		text := ""
 		for _, s := range v {
 			text += s
 		}
-		return countTokenText(text, model)
+		return CountTokenText(text, model)
 	}
 	return 0
 }
 
-func countTokenText(text string, model string) int {
+func CountTokenText(text string, model string) int {
 	tokenEncoder := getTokenEncoder(model)
 	return getTokenNum(tokenEncoder, text)
 }
-
-func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatusCode {
-	openAIError := OpenAIError{
-		Message: err.Error(),
-		Type:    "one_api_error",
-		Code:    code,
-	}
-	return &OpenAIErrorWithStatusCode{
-		OpenAIError: openAIError,
-		StatusCode:  statusCode,
-	}
-}
-
-func shouldDisableChannel(err *OpenAIError, statusCode int) bool {
-	if !common.AutomaticDisableChannelEnabled {
-		return false
-	}
-	if err == nil {
-		return false
-	}
-	if statusCode == http.StatusUnauthorized {
-		return true
-	}
-	if err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated" {
-		return true
-	}
-	return false
-}
-
-func shouldEnableChannel(err error, openAIErr *OpenAIError) bool {
-	if !common.AutomaticEnableChannelEnabled {
-		return false
-	}
-	if err != nil {
-		return false
-	}
-	if openAIErr != nil {
-		return false
-	}
-	return true
-}
-
-func setEventStreamHeaders(c *gin.Context) {
-	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")
-}
-
-type GeneralErrorResponse struct {
-	Error    OpenAIError `json:"error"`
-	Message  string      `json:"message"`
-	Msg      string      `json:"msg"`
-	Err      string      `json:"err"`
-	ErrorMsg string      `json:"error_msg"`
-	Header   struct {
-		Message string `json:"message"`
-	} `json:"header"`
-	Response struct {
-		Error struct {
-			Message string `json:"message"`
-		} `json:"error"`
-	} `json:"response"`
-}
-
-func (e GeneralErrorResponse) ToMessage() string {
-	if e.Error.Message != "" {
-		return e.Error.Message
-	}
-	if e.Message != "" {
-		return e.Message
-	}
-	if e.Msg != "" {
-		return e.Msg
-	}
-	if e.Err != "" {
-		return e.Err
-	}
-	if e.ErrorMsg != "" {
-		return e.ErrorMsg
-	}
-	if e.Header.Message != "" {
-		return e.Header.Message
-	}
-	if e.Response.Error.Message != "" {
-		return e.Response.Error.Message
-	}
-	return ""
-}
-
-func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIErrorWithStatusCode) {
-	openAIErrorWithStatusCode = &OpenAIErrorWithStatusCode{
-		StatusCode: resp.StatusCode,
-		OpenAIError: OpenAIError{
-			Message: "",
-			Type:    "upstream_error",
-			Code:    "bad_response_status_code",
-			Param:   strconv.Itoa(resp.StatusCode),
-		},
-	}
-	responseBody, err := io.ReadAll(resp.Body)
-	if err != nil {
-		return
-	}
-	err = resp.Body.Close()
-	if err != nil {
-		return
-	}
-	var errResponse GeneralErrorResponse
-	err = json.Unmarshal(responseBody, &errResponse)
-	if err != nil {
-		return
-	}
-	if errResponse.Error.Message != "" {
-		// OpenAI format error, so we override the default one
-		openAIErrorWithStatusCode.OpenAIError = errResponse.Error
-	} else {
-		openAIErrorWithStatusCode.OpenAIError.Message = errResponse.ToMessage()
-	}
-	if openAIErrorWithStatusCode.OpenAIError.Message == "" {
-		openAIErrorWithStatusCode.OpenAIError.Message = fmt.Sprintf("bad response status code %d", resp.StatusCode)
-	}
-	return
-}
-
-func getFullRequestURL(baseURL string, requestURL string, channelType int) string {
-	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
-
-	if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
-		switch channelType {
-		case common.ChannelTypeOpenAI:
-			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/v1"))
-		case common.ChannelTypeAzure:
-			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/openai/deployments"))
-		}
-	}
-	return fullRequestURL
-}
-
-func postConsumeQuota(ctx context.Context, tokenId int, quotaDelta int, totalQuota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
-	// quotaDelta is remaining quota to be consumed
-	err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
-	if err != nil {
-		common.SysError("error consuming token remain quota: " + err.Error())
-	}
-	err = model.CacheUpdateUserQuota(userId)
-	if err != nil {
-		common.SysError("error update user quota cache: " + err.Error())
-	}
-	// totalQuota is total quota consumed
-	if totalQuota != 0 {
-		logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
-		model.RecordConsumeLog(ctx, userId, channelId, totalQuota, 0, modelName, tokenName, totalQuota, logContent)
-		model.UpdateUserUsedQuotaAndRequestCount(userId, totalQuota)
-		model.UpdateChannelUsedQuota(channelId, totalQuota)
-	}
-	if totalQuota <= 0 {
-		common.LogError(ctx, fmt.Sprintf("totalQuota consumed is %d, something is wrong", totalQuota))
-	}
-}
-
-func GetAPIVersion(c *gin.Context) string {
-	query := c.Request.URL.Query()
-	apiVersion := query.Get("api-version")
-	if apiVersion == "" {
-		apiVersion = c.GetString("api_version")
-	}
-	return apiVersion
-}

relay/channel/openai/util.go

@@ -0,0 +1,13 @@
+package openai
+
+func ErrorWrapper(err error, code string, statusCode int) *ErrorWithStatusCode {
+	Error := Error{
+		Message: err.Error(),
+		Type:    "one_api_error",
+		Code:    code,
+	}
+	return &ErrorWithStatusCode{
+		Error:      Error,
+		StatusCode: statusCode,
+	}
+}

relay/channel/tencent/main.go

@@ -1,4 +1,4 @@
-package controller
+package tencent
 
 import (
 	"bufio"
@@ -12,6 +12,8 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
 	"sort"
 	"strconv"
 	"strings"
@@ -19,80 +21,22 @@ import (
 
 // 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))
+func ConvertRequest(request openai.GeneralOpenAIRequest) *ChatRequest {
+	messages := make([]Message, 0, len(request.Messages))
 	for i := 0; i < len(request.Messages); i++ {
 		message := request.Messages[i]
 		if message.Role == "system" {
-			messages = append(messages, TencentMessage{
+			messages = append(messages, Message{
 				Role:    "user",
 				Content: message.StringContent(),
 			})
-			messages = append(messages, TencentMessage{
+			messages = append(messages, Message{
 				Role:    "assistant",
 				Content: "Okay",
 			})
 			continue
 		}
-		messages = append(messages, TencentMessage{
+		messages = append(messages, Message{
 			Content: message.StringContent(),
 			Role:    message.Role,
 		})
@@ -101,7 +45,7 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
 	if request.Stream {
 		stream = 1
 	}
-	return &TencentChatRequest{
+	return &ChatRequest{
 		Timestamp:   common.GetTimestamp(),
 		Expired:     common.GetTimestamp() + 24*60*60,
 		QueryID:     common.GetUUID(),
@@ -112,16 +56,16 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
 	}
 }
 
-func responseTencent2OpenAI(response *TencentChatResponse) *OpenAITextResponse {
-	fullTextResponse := OpenAITextResponse{
+func responseTencent2OpenAI(response *ChatResponse) *openai.TextResponse {
+	fullTextResponse := openai.TextResponse{
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
 		Usage:   response.Usage,
 	}
 	if len(response.Choices) > 0 {
-		choice := OpenAITextResponseChoice{
+		choice := openai.TextResponseChoice{
 			Index: 0,
-			Message: Message{
+			Message: openai.Message{
 				Role:    "assistant",
 				Content: response.Choices[0].Messages.Content,
 			},
@@ -132,24 +76,24 @@ func responseTencent2OpenAI(response *TencentChatResponse) *OpenAITextResponse {
 	return &fullTextResponse
 }
 
-func streamResponseTencent2OpenAI(TencentResponse *TencentChatResponse) *ChatCompletionsStreamResponse {
-	response := ChatCompletionsStreamResponse{
+func streamResponseTencent2OpenAI(TencentResponse *ChatResponse) *openai.ChatCompletionsStreamResponse {
+	response := openai.ChatCompletionsStreamResponse{
 		Object:  "chat.completion.chunk",
 		Created: common.GetTimestamp(),
 		Model:   "tencent-hunyuan",
 	}
 	if len(TencentResponse.Choices) > 0 {
-		var choice ChatCompletionsStreamResponseChoice
+		var choice openai.ChatCompletionsStreamResponseChoice
 		choice.Delta.Content = TencentResponse.Choices[0].Delta.Content
 		if TencentResponse.Choices[0].FinishReason == "stop" {
-			choice.FinishReason = &stopFinishReason
+			choice.FinishReason = &constant.StopFinishReason
 		}
 		response.Choices = append(response.Choices, choice)
 	}
 	return &response
 }
 
-func tencentStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
+func StreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, string) {
 	var responseText string
 	scanner := bufio.NewScanner(resp.Body)
 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
@@ -180,11 +124,11 @@ func tencentStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWith
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
+	common.SetEventStreamHeaders(c)
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
-			var TencentResponse TencentChatResponse
+			var TencentResponse ChatResponse
 			err := json.Unmarshal([]byte(data), &TencentResponse)
 			if err != nil {
 				common.SysError("error unmarshalling stream response: " + err.Error())
@@ -208,28 +152,28 @@ func tencentStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWith
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
 	}
 	return nil, responseText
 }
 
-func tencentHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var TencentResponse TencentChatResponse
+func Handler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var TencentResponse ChatResponse
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.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
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if TencentResponse.Error.Code != 0 {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: TencentResponse.Error.Message,
 				Code:    TencentResponse.Error.Code,
 			},
@@ -237,9 +181,10 @@ func tencentHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatus
 		}, nil
 	}
 	fullTextResponse := responseTencent2OpenAI(&TencentResponse)
+	fullTextResponse.Model = "hunyuan"
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)
@@ -247,7 +192,7 @@ func tencentHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatus
 	return nil, &fullTextResponse.Usage
 }
 
-func parseTencentConfig(config string) (appId int64, secretId string, secretKey string, err error) {
+func ParseConfig(config string) (appId int64, secretId string, secretKey string, err error) {
 	parts := strings.Split(config, "|")
 	if len(parts) != 3 {
 		err = errors.New("invalid tencent config")
@@ -259,7 +204,7 @@ func parseTencentConfig(config string) (appId int64, secretId string, secretKey
 	return
 }
 
-func getTencentSign(req TencentChatRequest, secretKey string) string {
+func GetSign(req ChatRequest, secretKey string) string {
 	params := make([]string, 0)
 	params = append(params, "app_id="+strconv.FormatInt(req.AppId, 10))
 	params = append(params, "secret_id="+req.SecretId)

relay/channel/tencent/model.go

@@ -0,0 +1,63 @@
+package tencent
+
+import (
+	"one-api/relay/channel/openai"
+)
+
+type Message struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type ChatRequest 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 []Message `json:"messages"`
+}
+
+type Error struct {
+	Code    int    `json:"code"`
+	Message string `json:"message"`
+}
+
+type Usage struct {
+	InputTokens  int `json:"input_tokens"`
+	OutputTokens int `json:"output_tokens"`
+	TotalTokens  int `json:"total_tokens"`
+}
+
+type ResponseChoices struct {
+	FinishReason string  `json:"finish_reason,omitempty"` // 流式结束标志位，为 stop 则表示尾包
+	Messages     Message `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        Message `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 ChatResponse struct {
+	Choices []ResponseChoices `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   openai.Usage      `json:"usage,omitempty"`   // token 数量
+	Error   Error             `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
+}

relay/channel/xunfei/main.go

@@ -1,4 +1,4 @@
-package controller
+package xunfei
 
 import (
 	"crypto/hmac"
@@ -12,6 +12,8 @@ import (
 	"net/http"
 	"net/url"
 	"one-api/common"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
 	"strings"
 	"time"
 )
@@ -19,82 +21,26 @@ import (
 // https://console.xfyun.cn/services/cbm
 // https://www.xfyun.cn/doc/spark/Web.html
 
-type XunfeiMessage struct {
-	Role    string `json:"role"`
-	Content string `json:"content"`
-}
-
-type XunfeiChatRequest struct {
-	Header struct {
-		AppId string `json:"app_id"`
-	} `json:"header"`
-	Parameter struct {
-		Chat struct {
-			Domain      string  `json:"domain,omitempty"`
-			Temperature float64 `json:"temperature,omitempty"`
-			TopK        int     `json:"top_k,omitempty"`
-			MaxTokens   int     `json:"max_tokens,omitempty"`
-			Auditing    bool    `json:"auditing,omitempty"`
-		} `json:"chat"`
-	} `json:"parameter"`
-	Payload struct {
-		Message struct {
-			Text []XunfeiMessage `json:"text"`
-		} `json:"message"`
-	} `json:"payload"`
-}
-
-type XunfeiChatResponseTextItem struct {
-	Content string `json:"content"`
-	Role    string `json:"role"`
-	Index   int    `json:"index"`
-}
-
-type XunfeiChatResponse struct {
-	Header struct {
-		Code    int    `json:"code"`
-		Message string `json:"message"`
-		Sid     string `json:"sid"`
-		Status  int    `json:"status"`
-	} `json:"header"`
-	Payload struct {
-		Choices struct {
-			Status int                          `json:"status"`
-			Seq    int                          `json:"seq"`
-			Text   []XunfeiChatResponseTextItem `json:"text"`
-		} `json:"choices"`
-		Usage struct {
-			//Text struct {
-			//	QuestionTokens   string `json:"question_tokens"`
-			//	PromptTokens     string `json:"prompt_tokens"`
-			//	CompletionTokens string `json:"completion_tokens"`
-			//	TotalTokens      string `json:"total_tokens"`
-			//} `json:"text"`
-			Text Usage `json:"text"`
-		} `json:"usage"`
-	} `json:"payload"`
-}
-
-func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, domain string) *XunfeiChatRequest {
-	messages := make([]XunfeiMessage, 0, len(request.Messages))
+func requestOpenAI2Xunfei(request openai.GeneralOpenAIRequest, xunfeiAppId string, domain string) *ChatRequest {
+	messages := make([]Message, 0, len(request.Messages))
 	for _, message := range request.Messages {
 		if message.Role == "system" {
-			messages = append(messages, XunfeiMessage{
+			messages = append(messages, Message{
 				Role:    "user",
 				Content: message.StringContent(),
 			})
-			messages = append(messages, XunfeiMessage{
+			messages = append(messages, Message{
 				Role:    "assistant",
 				Content: "Okay",
 			})
 		} else {
-			messages = append(messages, XunfeiMessage{
+			messages = append(messages, Message{
 				Role:    message.Role,
 				Content: message.StringContent(),
 			})
 		}
 	}
-	xunfeiRequest := XunfeiChatRequest{}
+	xunfeiRequest := ChatRequest{}
 	xunfeiRequest.Header.AppId = xunfeiAppId
 	xunfeiRequest.Parameter.Chat.Domain = domain
 	xunfeiRequest.Parameter.Chat.Temperature = request.Temperature
@@ -104,49 +50,49 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, doma
 	return &xunfeiRequest
 }
 
-func responseXunfei2OpenAI(response *XunfeiChatResponse) *OpenAITextResponse {
+func responseXunfei2OpenAI(response *ChatResponse) *openai.TextResponse {
 	if len(response.Payload.Choices.Text) == 0 {
-		response.Payload.Choices.Text = []XunfeiChatResponseTextItem{
+		response.Payload.Choices.Text = []ChatResponseTextItem{
 			{
 				Content: "",
 			},
 		}
 	}
-	choice := OpenAITextResponseChoice{
+	choice := openai.TextResponseChoice{
 		Index: 0,
-		Message: Message{
+		Message: openai.Message{
 			Role:    "assistant",
 			Content: response.Payload.Choices.Text[0].Content,
 		},
-		FinishReason: stopFinishReason,
+		FinishReason: constant.StopFinishReason,
 	}
-	fullTextResponse := OpenAITextResponse{
+	fullTextResponse := openai.TextResponse{
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
-		Choices: []OpenAITextResponseChoice{choice},
+		Choices: []openai.TextResponseChoice{choice},
 		Usage:   response.Payload.Usage.Text,
 	}
 	return &fullTextResponse
 }
 
-func streamResponseXunfei2OpenAI(xunfeiResponse *XunfeiChatResponse) *ChatCompletionsStreamResponse {
+func streamResponseXunfei2OpenAI(xunfeiResponse *ChatResponse) *openai.ChatCompletionsStreamResponse {
 	if len(xunfeiResponse.Payload.Choices.Text) == 0 {
-		xunfeiResponse.Payload.Choices.Text = []XunfeiChatResponseTextItem{
+		xunfeiResponse.Payload.Choices.Text = []ChatResponseTextItem{
 			{
 				Content: "",
 			},
 		}
 	}
-	var choice ChatCompletionsStreamResponseChoice
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = xunfeiResponse.Payload.Choices.Text[0].Content
 	if xunfeiResponse.Payload.Choices.Status == 2 {
-		choice.FinishReason = &stopFinishReason
+		choice.FinishReason = &constant.StopFinishReason
 	}
-	response := ChatCompletionsStreamResponse{
+	response := openai.ChatCompletionsStreamResponse{
 		Object:  "chat.completion.chunk",
 		Created: common.GetTimestamp(),
 		Model:   "SparkDesk",
-		Choices: []ChatCompletionsStreamResponseChoice{choice},
+		Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 	}
 	return &response
 }
@@ -177,14 +123,14 @@ func buildXunfeiAuthUrl(hostUrl string, apiKey, apiSecret string) string {
 	return callUrl
 }
 
-func xunfeiStreamHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*OpenAIErrorWithStatusCode, *Usage) {
+func StreamHandler(c *gin.Context, textRequest openai.GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*openai.ErrorWithStatusCode, *openai.Usage) {
 	domain, authUrl := getXunfeiAuthUrl(c, apiKey, apiSecret)
 	dataChan, stopChan, err := xunfeiMakeRequest(textRequest, domain, authUrl, appId)
 	if err != nil {
-		return errorWrapper(err, "make xunfei request err", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "make xunfei request err", http.StatusInternalServerError), nil
 	}
-	setEventStreamHeaders(c)
-	var usage Usage
+	common.SetEventStreamHeaders(c)
+	var usage openai.Usage
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case xunfeiResponse := <-dataChan:
@@ -207,15 +153,15 @@ func xunfeiStreamHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId
 	return nil, &usage
 }
 
-func xunfeiHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*OpenAIErrorWithStatusCode, *Usage) {
+func Handler(c *gin.Context, textRequest openai.GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*openai.ErrorWithStatusCode, *openai.Usage) {
 	domain, authUrl := getXunfeiAuthUrl(c, apiKey, apiSecret)
 	dataChan, stopChan, err := xunfeiMakeRequest(textRequest, domain, authUrl, appId)
 	if err != nil {
-		return errorWrapper(err, "make xunfei request err", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "make xunfei request err", http.StatusInternalServerError), nil
 	}
-	var usage Usage
+	var usage openai.Usage
 	var content string
-	var xunfeiResponse XunfeiChatResponse
+	var xunfeiResponse ChatResponse
 	stop := false
 	for !stop {
 		select {
@@ -231,7 +177,7 @@ func xunfeiHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId strin
 		}
 	}
 	if len(xunfeiResponse.Payload.Choices.Text) == 0 {
-		xunfeiResponse.Payload.Choices.Text = []XunfeiChatResponseTextItem{
+		xunfeiResponse.Payload.Choices.Text = []ChatResponseTextItem{
 			{
 				Content: "",
 			},
@@ -242,14 +188,14 @@ func xunfeiHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId strin
 	response := responseXunfei2OpenAI(&xunfeiResponse)
 	jsonResponse, err := json.Marshal(response)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	_, _ = c.Writer.Write(jsonResponse)
 	return nil, &usage
 }
 
-func xunfeiMakeRequest(textRequest GeneralOpenAIRequest, domain, authUrl, appId string) (chan XunfeiChatResponse, chan bool, error) {
+func xunfeiMakeRequest(textRequest openai.GeneralOpenAIRequest, domain, authUrl, appId string) (chan ChatResponse, chan bool, error) {
 	d := websocket.Dialer{
 		HandshakeTimeout: 5 * time.Second,
 	}
@@ -263,7 +209,7 @@ func xunfeiMakeRequest(textRequest GeneralOpenAIRequest, domain, authUrl, appId
 		return nil, nil, err
 	}
 
-	dataChan := make(chan XunfeiChatResponse)
+	dataChan := make(chan ChatResponse)
 	stopChan := make(chan bool)
 	go func() {
 		for {
@@ -272,7 +218,7 @@ func xunfeiMakeRequest(textRequest GeneralOpenAIRequest, domain, authUrl, appId
 				common.SysError("error reading stream response: " + err.Error())
 				break
 			}
-			var response XunfeiChatResponse
+			var response ChatResponse
 			err = json.Unmarshal(msg, &response)
 			if err != nil {
 				common.SysError("error unmarshalling stream response: " + err.Error())

relay/channel/xunfei/model.go

@@ -0,0 +1,61 @@
+package xunfei
+
+import (
+	"one-api/relay/channel/openai"
+)
+
+type Message struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type ChatRequest struct {
+	Header struct {
+		AppId string `json:"app_id"`
+	} `json:"header"`
+	Parameter struct {
+		Chat struct {
+			Domain      string  `json:"domain,omitempty"`
+			Temperature float64 `json:"temperature,omitempty"`
+			TopK        int     `json:"top_k,omitempty"`
+			MaxTokens   int     `json:"max_tokens,omitempty"`
+			Auditing    bool    `json:"auditing,omitempty"`
+		} `json:"chat"`
+	} `json:"parameter"`
+	Payload struct {
+		Message struct {
+			Text []Message `json:"text"`
+		} `json:"message"`
+	} `json:"payload"`
+}
+
+type ChatResponseTextItem struct {
+	Content string `json:"content"`
+	Role    string `json:"role"`
+	Index   int    `json:"index"`
+}
+
+type ChatResponse struct {
+	Header struct {
+		Code    int    `json:"code"`
+		Message string `json:"message"`
+		Sid     string `json:"sid"`
+		Status  int    `json:"status"`
+	} `json:"header"`
+	Payload struct {
+		Choices struct {
+			Status int                    `json:"status"`
+			Seq    int                    `json:"seq"`
+			Text   []ChatResponseTextItem `json:"text"`
+		} `json:"choices"`
+		Usage struct {
+			//Text struct {
+			//	QuestionTokens   string `json:"question_tokens"`
+			//	PromptTokens     string `json:"prompt_tokens"`
+			//	CompletionTokens string `json:"completion_tokens"`
+			//	TotalTokens      string `json:"total_tokens"`
+			//} `json:"text"`
+			Text openai.Usage `json:"text"`
+		} `json:"usage"`
+	} `json:"payload"`
+}

relay/channel/zhipu/main.go

@@ -1,4 +1,4 @@
-package controller
+package zhipu
 
 import (
 	"bufio"
@@ -8,6 +8,8 @@ import (
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
 	"strings"
 	"sync"
 	"time"
@@ -18,53 +20,13 @@ import (
 // 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 {
+func GetToken(apikey string) string {
 	data, ok := zhipuTokens.Load(apikey)
 	if ok {
-		tokenData := data.(zhipuTokenData)
+		tokenData := data.(tokenData)
 		if time.Now().Before(tokenData.ExpiryTime) {
 			return tokenData.Token
 		}
@@ -100,7 +62,7 @@ func getZhipuToken(apikey string) string {
 		return ""
 	}
 
-	zhipuTokens.Store(apikey, zhipuTokenData{
+	zhipuTokens.Store(apikey, tokenData{
 		Token:      tokenString,
 		ExpiryTime: expiryTime,
 	})
@@ -108,26 +70,26 @@ func getZhipuToken(apikey string) string {
 	return tokenString
 }
 
-func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
-	messages := make([]ZhipuMessage, 0, len(request.Messages))
+func ConvertRequest(request openai.GeneralOpenAIRequest) *Request {
+	messages := make([]Message, 0, len(request.Messages))
 	for _, message := range request.Messages {
 		if message.Role == "system" {
-			messages = append(messages, ZhipuMessage{
+			messages = append(messages, Message{
 				Role:    "system",
 				Content: message.StringContent(),
 			})
-			messages = append(messages, ZhipuMessage{
+			messages = append(messages, Message{
 				Role:    "user",
 				Content: "Okay",
 			})
 		} else {
-			messages = append(messages, ZhipuMessage{
+			messages = append(messages, Message{
 				Role:    message.Role,
 				Content: message.StringContent(),
 			})
 		}
 	}
-	return &ZhipuRequest{
+	return &Request{
 		Prompt:      messages,
 		Temperature: request.Temperature,
 		TopP:        request.TopP,
@@ -135,18 +97,18 @@ func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
 	}
 }
 
-func responseZhipu2OpenAI(response *ZhipuResponse) *OpenAITextResponse {
-	fullTextResponse := OpenAITextResponse{
+func responseZhipu2OpenAI(response *Response) *openai.TextResponse {
+	fullTextResponse := openai.TextResponse{
 		Id:      response.Data.TaskId,
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
-		Choices: make([]OpenAITextResponseChoice, 0, len(response.Data.Choices)),
+		Choices: make([]openai.TextResponseChoice, 0, len(response.Data.Choices)),
 		Usage:   response.Data.Usage,
 	}
 	for i, choice := range response.Data.Choices {
-		openaiChoice := OpenAITextResponseChoice{
+		openaiChoice := openai.TextResponseChoice{
 			Index: i,
-			Message: Message{
+			Message: openai.Message{
 				Role:    choice.Role,
 				Content: strings.Trim(choice.Content, "\""),
 			},
@@ -160,34 +122,34 @@ func responseZhipu2OpenAI(response *ZhipuResponse) *OpenAITextResponse {
 	return &fullTextResponse
 }
 
-func streamResponseZhipu2OpenAI(zhipuResponse string) *ChatCompletionsStreamResponse {
-	var choice ChatCompletionsStreamResponseChoice
+func streamResponseZhipu2OpenAI(zhipuResponse string) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = zhipuResponse
-	response := ChatCompletionsStreamResponse{
+	response := openai.ChatCompletionsStreamResponse{
 		Object:  "chat.completion.chunk",
 		Created: common.GetTimestamp(),
 		Model:   "chatglm",
-		Choices: []ChatCompletionsStreamResponseChoice{choice},
+		Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 	}
 	return &response
 }
 
-func streamMetaResponseZhipu2OpenAI(zhipuResponse *ZhipuStreamMetaResponse) (*ChatCompletionsStreamResponse, *Usage) {
-	var choice ChatCompletionsStreamResponseChoice
+func streamMetaResponseZhipu2OpenAI(zhipuResponse *StreamMetaResponse) (*openai.ChatCompletionsStreamResponse, *openai.Usage) {
+	var choice openai.ChatCompletionsStreamResponseChoice
 	choice.Delta.Content = ""
-	choice.FinishReason = &stopFinishReason
-	response := ChatCompletionsStreamResponse{
+	choice.FinishReason = &constant.StopFinishReason
+	response := openai.ChatCompletionsStreamResponse{
 		Id:      zhipuResponse.RequestId,
 		Object:  "chat.completion.chunk",
 		Created: common.GetTimestamp(),
 		Model:   "chatglm",
-		Choices: []ChatCompletionsStreamResponseChoice{choice},
+		Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
 	}
 	return &response, &zhipuResponse.Usage
 }
 
-func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
-	var usage *Usage
+func StreamHandler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var usage *openai.Usage
 	scanner := bufio.NewScanner(resp.Body)
 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
 		if atEOF && len(data) == 0 {
@@ -224,7 +186,7 @@ func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
 		}
 		stopChan <- true
 	}()
-	setEventStreamHeaders(c)
+	common.SetEventStreamHeaders(c)
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case data := <-dataChan:
@@ -237,7 +199,7 @@ func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
 			c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
 			return true
 		case data := <-metaChan:
-			var zhipuResponse ZhipuStreamMetaResponse
+			var zhipuResponse StreamMetaResponse
 			err := json.Unmarshal([]byte(data), &zhipuResponse)
 			if err != nil {
 				common.SysError("error unmarshalling stream response: " + err.Error())
@@ -259,28 +221,28 @@ func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
 	})
 	err := resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+func Handler(c *gin.Context, resp *http.Response) (*openai.ErrorWithStatusCode, *openai.Usage) {
+	var zhipuResponse Response
 	responseBody, err := io.ReadAll(resp.Body)
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+		return openai.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
+		return openai.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
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	if !zhipuResponse.Success {
-		return &OpenAIErrorWithStatusCode{
-			OpenAIError: OpenAIError{
+		return &openai.ErrorWithStatusCode{
+			Error: openai.Error{
 				Message: zhipuResponse.Msg,
 				Type:    "zhipu_error",
 				Param:   "",
@@ -290,9 +252,10 @@ func zhipuHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCo
 		}, nil
 	}
 	fullTextResponse := responseZhipu2OpenAI(&zhipuResponse)
+	fullTextResponse.Model = "chatglm"
 	jsonResponse, err := json.Marshal(fullTextResponse)
 	if err != nil {
-		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
 	}
 	c.Writer.Header().Set("Content-Type", "application/json")
 	c.Writer.WriteHeader(resp.StatusCode)

relay/channel/zhipu/model.go

@@ -0,0 +1,46 @@
+package zhipu
+
+import (
+	"one-api/relay/channel/openai"
+	"time"
+)
+
+type Message struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type Request struct {
+	Prompt      []Message `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 ResponseData struct {
+	TaskId       string    `json:"task_id"`
+	RequestId    string    `json:"request_id"`
+	TaskStatus   string    `json:"task_status"`
+	Choices      []Message `json:"choices"`
+	openai.Usage `json:"usage"`
+}
+
+type Response struct {
+	Code    int          `json:"code"`
+	Msg     string       `json:"msg"`
+	Success bool         `json:"success"`
+	Data    ResponseData `json:"data"`
+}
+
+type StreamMetaResponse struct {
+	RequestId    string `json:"request_id"`
+	TaskId       string `json:"task_id"`
+	TaskStatus   string `json:"task_status"`
+	openai.Usage `json:"usage"`
+}
+
+type tokenData struct {
+	Token      string
+	ExpiryTime time.Time
+}

relay/constant/main.go

@@ -0,0 +1,16 @@
+package constant
+
+const (
+	RelayModeUnknown = iota
+	RelayModeChatCompletions
+	RelayModeCompletions
+	RelayModeEmbeddings
+	RelayModeModerations
+	RelayModeImagesGenerations
+	RelayModeEdits
+	RelayModeAudioSpeech
+	RelayModeAudioTranscription
+	RelayModeAudioTranslation
+)
+
+var StopFinishReason = "stop"

relay/controller/audio.go

@@ -12,10 +12,13 @@ import (
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
+	"one-api/relay/util"
 	"strings"
 )
 
-func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
+func RelayAudioHelper(c *gin.Context, relayMode int) *openai.ErrorWithStatusCode {
 	audioModel := "whisper-1"
 
 	tokenId := c.GetInt("token_id")
@@ -25,18 +28,18 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	group := c.GetString("group")
 	tokenName := c.GetString("token_name")
 
-	var ttsRequest TextToSpeechRequest
-	if relayMode == RelayModeAudioSpeech {
+	var ttsRequest openai.TextToSpeechRequest
+	if relayMode == constant.RelayModeAudioSpeech {
 		// Read JSON
 		err := common.UnmarshalBodyReusable(c, &ttsRequest)
 		// Check if JSON is valid
 		if err != nil {
-			return errorWrapper(err, "invalid_json", http.StatusBadRequest)
+			return openai.ErrorWrapper(err, "invalid_json", http.StatusBadRequest)
 		}
 		audioModel = ttsRequest.Model
 		// Check if text is too long 4096
 		if len(ttsRequest.Input) > 4096 {
-			return errorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
+			return openai.ErrorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
 		}
 	}
 
@@ -46,7 +49,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	var quota int
 	var preConsumedQuota int
 	switch relayMode {
-	case RelayModeAudioSpeech:
+	case constant.RelayModeAudioSpeech:
 		preConsumedQuota = int(float64(len(ttsRequest.Input)) * ratio)
 		quota = preConsumedQuota
 	default:
@@ -54,16 +57,16 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	}
 	userQuota, err := model.CacheGetUserQuota(userId)
 	if err != nil {
-		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
 	}
 
 	// Check if user quota is enough
 	if userQuota-preConsumedQuota < 0 {
-		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+		return openai.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)
+		return openai.ErrorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
 	}
 	if userQuota > 100*preConsumedQuota {
 		// in this case, we do not pre-consume quota
@@ -73,7 +76,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if preConsumedQuota > 0 {
 		err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
 		if err != nil {
-			return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
+			return openai.ErrorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
 		}
 	}
 
@@ -83,7 +86,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 		modelMap := make(map[string]string)
 		err := json.Unmarshal([]byte(modelMapping), &modelMap)
 		if err != nil {
-			return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
 		}
 		if modelMap[audioModel] != "" {
 			audioModel = modelMap[audioModel]
@@ -96,27 +99,27 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 		baseURL = c.GetString("base_url")
 	}
 
-	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
-	if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
+	fullRequestURL := util.GetFullRequestURL(baseURL, requestURL, channelType)
+	if relayMode == constant.RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
 		// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
-		apiVersion := GetAPIVersion(c)
+		apiVersion := util.GetAPIVersion(c)
 		fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, audioModel, apiVersion)
 	}
 
 	requestBody := &bytes.Buffer{}
 	_, err = io.Copy(requestBody, c.Request.Body)
 	if err != nil {
-		return errorWrapper(err, "new_request_body_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "new_request_body_failed", http.StatusInternalServerError)
 	}
 	c.Request.Body = io.NopCloser(bytes.NewBuffer(requestBody.Bytes()))
 	responseFormat := c.DefaultPostForm("response_format", "json")
 
 	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
 	if err != nil {
-		return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
 	}
 
-	if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
+	if relayMode == constant.RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
 		// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
 		apiKey := c.Request.Header.Get("Authorization")
 		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
@@ -128,34 +131,34 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
 	req.Header.Set("Accept", c.Request.Header.Get("Accept"))
 
-	resp, err := httpClient.Do(req)
+	resp, err := util.HTTPClient.Do(req)
 	if err != nil {
-		return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
 	}
 
 	err = req.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+		return openai.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)
+		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 	}
 
-	if relayMode != RelayModeAudioSpeech {
+	if relayMode != constant.RelayModeAudioSpeech {
 		responseBody, err := io.ReadAll(resp.Body)
 		if err != nil {
-			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
 		}
 		err = resp.Body.Close()
 		if err != nil {
-			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
 		}
 
-		var openAIErr TextResponse
+		var openAIErr openai.SlimTextResponse
 		if err = json.Unmarshal(responseBody, &openAIErr); err == nil {
 			if openAIErr.Error.Message != "" {
-				return errorWrapper(fmt.Errorf("type %s, code %v, message %s", openAIErr.Error.Type, openAIErr.Error.Code, openAIErr.Error.Message), "request_error", http.StatusInternalServerError)
+				return openai.ErrorWrapper(fmt.Errorf("type %s, code %v, message %s", openAIErr.Error.Type, openAIErr.Error.Code, openAIErr.Error.Message), "request_error", http.StatusInternalServerError)
 			}
 		}
 
@@ -172,12 +175,12 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 		case "vtt":
 			text, err = getTextFromVTT(responseBody)
 		default:
-			return errorWrapper(errors.New("unexpected_response_format"), "unexpected_response_format", http.StatusInternalServerError)
+			return openai.ErrorWrapper(errors.New("unexpected_response_format"), "unexpected_response_format", http.StatusInternalServerError)
 		}
 		if err != nil {
-			return errorWrapper(err, "get_text_from_body_err", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "get_text_from_body_err", http.StatusInternalServerError)
 		}
-		quota = countTokenText(text, audioModel)
+		quota = openai.CountTokenText(text, audioModel)
 		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
 	}
 	if resp.StatusCode != http.StatusOK {
@@ -193,11 +196,11 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 				}()
 			}(c.Request.Context())
 		}
-		return relayErrorHandler(resp)
+		return util.RelayErrorHandler(resp)
 	}
 	quotaDelta := quota - preConsumedQuota
 	defer func(ctx context.Context) {
-		go postConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
+		go util.PostConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
 	}(c.Request.Context())
 
 	for k, v := range resp.Header {
@@ -207,11 +210,11 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 
 	_, err = io.Copy(c.Writer, resp.Body)
 	if err != nil {
-		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
 	}
 	err = resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
 	}
 	return nil
 }
@@ -221,7 +224,7 @@ func getTextFromVTT(body []byte) (string, error) {
 }
 
 func getTextFromVerboseJSON(body []byte) (string, error) {
-	var whisperResponse WhisperVerboseJSONResponse
+	var whisperResponse openai.WhisperVerboseJSONResponse
 	if err := json.Unmarshal(body, &whisperResponse); err != nil {
 		return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
 	}
@@ -254,7 +257,7 @@ func getTextFromText(body []byte) (string, error) {
 }
 
 func getTextFromJSON(body []byte) (string, error) {
-	var whisperResponse WhisperJSONResponse
+	var whisperResponse openai.WhisperJSONResponse
 	if err := json.Unmarshal(body, &whisperResponse); err != nil {
 		return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
 	}

relay/controller/image.go

@@ -10,6 +10,8 @@ import (
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+	"one-api/relay/channel/openai"
+	"one-api/relay/util"
 	"strings"
 
 	"github.com/gin-gonic/gin"
@@ -25,7 +27,7 @@ func isWithinRange(element string, value int) bool {
 	return value >= min && value <= max
 }
 
-func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
+func RelayImageHelper(c *gin.Context, relayMode int) *openai.ErrorWithStatusCode {
 	imageModel := "dall-e-2"
 	imageSize := "1024x1024"
 
@@ -35,10 +37,10 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	userId := c.GetInt("id")
 	group := c.GetString("group")
 
-	var imageRequest ImageRequest
+	var imageRequest openai.ImageRequest
 	err := common.UnmarshalBodyReusable(c, &imageRequest)
 	if err != nil {
-		return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
+		return openai.ErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
 	}
 
 	if imageRequest.N == 0 {
@@ -67,24 +69,24 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 			}
 		}
 	} else {
-		return errorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
+		return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
 	}
 
 	// Prompt validation
 	if imageRequest.Prompt == "" {
-		return errorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
+		return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
 	}
 
 	// Check prompt length
 	if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
-		return errorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
+		return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
 	}
 
 	// Number of generated images validation
 	if isWithinRange(imageModel, imageRequest.N) == false {
 		// channel not azure
 		if channelType != common.ChannelTypeAzure {
-			return errorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
+			return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
 		}
 	}
 
@@ -95,7 +97,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 		modelMap := make(map[string]string)
 		err := json.Unmarshal([]byte(modelMapping), &modelMap)
 		if err != nil {
-			return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
 		}
 		if modelMap[imageModel] != "" {
 			imageModel = modelMap[imageModel]
@@ -107,10 +109,10 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if c.GetString("base_url") != "" {
 		baseURL = c.GetString("base_url")
 	}
-	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
+	fullRequestURL := util.GetFullRequestURL(baseURL, requestURL, channelType)
 	if channelType == common.ChannelTypeAzure {
 		// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
-		apiVersion := GetAPIVersion(c)
+		apiVersion := util.GetAPIVersion(c)
 		// https://{resource_name}.openai.azure.com/openai/deployments/dall-e-3/images/generations?api-version=2023-06-01-preview
 		fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", baseURL, imageModel, apiVersion)
 	}
@@ -119,7 +121,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if isModelMapped || channelType == common.ChannelTypeAzure { // make Azure channel request body
 		jsonStr, err := json.Marshal(imageRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	} else {
@@ -134,12 +136,12 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	quota := int(ratio*imageCostRatio*1000) * imageRequest.N
 
 	if userQuota-quota < 0 {
-		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+		return openai.ErrorWrapper(errors.New("user quota is not enough"), "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)
+		return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
 	}
 	token := c.Request.Header.Get("Authorization")
 	if channelType == common.ChannelTypeAzure { // Azure authentication
@@ -152,22 +154,25 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
 	req.Header.Set("Accept", c.Request.Header.Get("Accept"))
 
-	resp, err := httpClient.Do(req)
+	resp, err := util.HTTPClient.Do(req)
 	if err != nil {
-		return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
 	}
 
 	err = req.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+		return openai.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)
+		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 	}
-	var textResponse ImageResponse
+	var textResponse openai.ImageResponse
 
 	defer func(ctx context.Context) {
+		if resp.StatusCode != http.StatusOK {
+			return
+		}
 		err := model.PostConsumeTokenQuota(tokenId, quota)
 		if err != nil {
 			common.SysError("error consuming token remain quota: " + err.Error())
@@ -189,15 +194,15 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	responseBody, err := io.ReadAll(resp.Body)
 
 	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
 	}
 	err = resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+		return openai.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)
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
 	}
 
 	resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
@@ -209,11 +214,11 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 
 	_, err = io.Copy(c.Writer, resp.Body)
 	if err != nil {
-		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
 	}
 	err = resp.Body.Close()
 	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
 	}
 	return nil
 }

relay/controller/text.go

@@ -6,15 +6,24 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
+	"github.com/gin-gonic/gin"
 	"io"
 	"math"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+	"one-api/relay/channel/aiproxy"
+	"one-api/relay/channel/ali"
+	"one-api/relay/channel/anthropic"
+	"one-api/relay/channel/baidu"
+	"one-api/relay/channel/google"
+	"one-api/relay/channel/openai"
+	"one-api/relay/channel/tencent"
+	"one-api/relay/channel/xunfei"
+	"one-api/relay/channel/zhipu"
+	"one-api/relay/constant"
+	"one-api/relay/util"
 	"strings"
-	"time"
-
-	"github.com/gin-gonic/gin"
 )
 
 const (
@@ -30,61 +39,47 @@ const (
 	APITypeGemini
 )
 
-var httpClient *http.Client
-var impatientHTTPClient *http.Client
-
-func init() {
-	if common.RelayTimeout == 0 {
-		httpClient = &http.Client{}
-	} else {
-		httpClient = &http.Client{
-			Timeout: time.Duration(common.RelayTimeout) * time.Second,
-		}
-	}
-
-	impatientHTTPClient = &http.Client{
-		Timeout: 5 * time.Second,
-	}
-}
-
-func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
+func RelayTextHelper(c *gin.Context, relayMode int) *openai.ErrorWithStatusCode {
 	channelType := c.GetInt("channel")
 	channelId := c.GetInt("channel_id")
 	tokenId := c.GetInt("token_id")
 	userId := c.GetInt("id")
 	group := c.GetString("group")
-	var textRequest GeneralOpenAIRequest
+	var textRequest openai.GeneralOpenAIRequest
 	err := common.UnmarshalBodyReusable(c, &textRequest)
 	if err != nil {
-		return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
+		return openai.ErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
 	}
-	if relayMode == RelayModeModerations && textRequest.Model == "" {
+	if textRequest.MaxTokens < 0 || textRequest.MaxTokens > math.MaxInt32/2 {
+		return openai.ErrorWrapper(errors.New("max_tokens is invalid"), "invalid_max_tokens", http.StatusBadRequest)
+	}
+	if relayMode == constant.RelayModeModerations && textRequest.Model == "" {
 		textRequest.Model = "text-moderation-latest"
 	}
-	if relayMode == RelayModeEmbeddings && textRequest.Model == "" {
+	if relayMode == constant.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)
+		return openai.ErrorWrapper(errors.New("model is required"), "required_field_missing", http.StatusBadRequest)
 	}
 	switch relayMode {
-	case RelayModeCompletions:
+	case constant.RelayModeCompletions:
 		if textRequest.Prompt == "" {
-			return errorWrapper(errors.New("field prompt is required"), "required_field_missing", http.StatusBadRequest)
+			return openai.ErrorWrapper(errors.New("field prompt is required"), "required_field_missing", http.StatusBadRequest)
 		}
-	case RelayModeChatCompletions:
+	case constant.RelayModeChatCompletions:
 		if textRequest.Messages == nil || len(textRequest.Messages) == 0 {
-			return errorWrapper(errors.New("field messages is required"), "required_field_missing", http.StatusBadRequest)
+			return openai.ErrorWrapper(errors.New("field messages is required"), "required_field_missing", http.StatusBadRequest)
 		}
-	case RelayModeEmbeddings:
-	case RelayModeModerations:
+	case constant.RelayModeEmbeddings:
+	case constant.RelayModeModerations:
 		if textRequest.Input == "" {
-			return errorWrapper(errors.New("field input is required"), "required_field_missing", http.StatusBadRequest)
+			return openai.ErrorWrapper(errors.New("field input is required"), "required_field_missing", http.StatusBadRequest)
 		}
-	case RelayModeEdits:
+	case constant.RelayModeEdits:
 		if textRequest.Instruction == "" {
-			return errorWrapper(errors.New("field instruction is required"), "required_field_missing", http.StatusBadRequest)
+			return openai.ErrorWrapper(errors.New("field instruction is required"), "required_field_missing", http.StatusBadRequest)
 		}
 	}
 	// map model name
@@ -94,7 +89,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		modelMap := make(map[string]string)
 		err := json.Unmarshal([]byte(modelMapping), &modelMap)
 		if err != nil {
-			return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
 		}
 		if modelMap[textRequest.Model] != "" {
 			textRequest.Model = modelMap[textRequest.Model]
@@ -127,12 +122,12 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	if c.GetString("base_url") != "" {
 		baseURL = c.GetString("base_url")
 	}
-	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
+	fullRequestURL := util.GetFullRequestURL(baseURL, requestURL, channelType)
 	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
-			apiVersion := GetAPIVersion(c)
+			apiVersion := util.GetAPIVersion(c)
 			requestURL := strings.Split(requestURL, "?")[0]
 			requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion)
 			baseURL = c.GetString("base_url")
@@ -145,7 +140,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			model_ = strings.TrimSuffix(model_, "-0613")
 
 			requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
-			fullRequestURL = getFullRequestURL(baseURL, requestURL, channelType)
+			fullRequestURL = util.GetFullRequestURL(baseURL, requestURL, channelType)
 		}
 	case APITypeClaude:
 		fullRequestURL = "https://api.anthropic.com/v1/complete"
@@ -168,8 +163,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		apiKey := c.Request.Header.Get("Authorization")
 		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
 		var err error
-		if apiKey, err = getBaiduAccessToken(apiKey); err != nil {
-			return errorWrapper(err, "invalid_baidu_config", http.StatusInternalServerError)
+		if apiKey, err = baidu.GetAccessToken(apiKey); err != nil {
+			return openai.ErrorWrapper(err, "invalid_baidu_config", http.StatusInternalServerError)
 		}
 		fullRequestURL += "?access_token=" + apiKey
 	case APITypePaLM:
@@ -177,9 +172,6 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		if baseURL != "" {
 			fullRequestURL = fmt.Sprintf("%s/v1beta2/models/chat-bison-001:generateMessage", baseURL)
 		}
-		apiKey := c.Request.Header.Get("Authorization")
-		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
-		fullRequestURL += "?key=" + apiKey
 	case APITypeGemini:
 		requestBaseURL := "https://generativelanguage.googleapis.com"
 		if baseURL != "" {
@@ -194,9 +186,6 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			action = "streamGenerateContent"
 		}
 		fullRequestURL = fmt.Sprintf("%s/%s/models/%s:%s", requestBaseURL, version, textRequest.Model, action)
-		apiKey := c.Request.Header.Get("Authorization")
-		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
-		fullRequestURL += "?key=" + apiKey
 	case APITypeZhipu:
 		method := "invoke"
 		if textRequest.Stream {
@@ -205,7 +194,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		fullRequestURL = fmt.Sprintf("https://open.bigmodel.cn/api/paas/v3/model-api/%s/%s", textRequest.Model, method)
 	case APITypeAli:
 		fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation"
-		if relayMode == RelayModeEmbeddings {
+		if relayMode == constant.RelayModeEmbeddings {
 			fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding"
 		}
 	case APITypeTencent:
@@ -216,12 +205,12 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	var promptTokens int
 	var completionTokens int
 	switch relayMode {
-	case RelayModeChatCompletions:
-		promptTokens = countTokenMessages(textRequest.Messages, textRequest.Model)
-	case RelayModeCompletions:
-		promptTokens = countTokenInput(textRequest.Prompt, textRequest.Model)
-	case RelayModeModerations:
-		promptTokens = countTokenInput(textRequest.Input, textRequest.Model)
+	case constant.RelayModeChatCompletions:
+		promptTokens = openai.CountTokenMessages(textRequest.Messages, textRequest.Model)
+	case constant.RelayModeCompletions:
+		promptTokens = openai.CountTokenInput(textRequest.Prompt, textRequest.Model)
+	case constant.RelayModeModerations:
+		promptTokens = openai.CountTokenInput(textRequest.Input, textRequest.Model)
 	}
 	preConsumedTokens := common.PreConsumedQuota
 	if textRequest.MaxTokens != 0 {
@@ -233,14 +222,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	preConsumedQuota := int(float64(preConsumedTokens) * ratio)
 	userQuota, err := model.CacheGetUserQuota(userId)
 	if err != nil {
-		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
+		return openai.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)
+		return openai.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)
+		return openai.ErrorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
 	}
 	if userQuota > 100*preConsumedQuota {
 		// in this case, we do not pre-consume quota
@@ -251,14 +240,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	if preConsumedQuota > 0 {
 		err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
 		if err != nil {
-			return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
+			return openai.ErrorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
 		}
 	}
 	var requestBody io.Reader
 	if isModelMapped {
 		jsonStr, err := json.Marshal(textRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	} else {
@@ -266,86 +255,86 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	}
 	switch apiType {
 	case APITypeClaude:
-		claudeRequest := requestOpenAI2Claude(textRequest)
+		claudeRequest := anthropic.ConvertRequest(textRequest)
 		jsonStr, err := json.Marshal(claudeRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeBaidu:
 		var jsonData []byte
 		var err error
 		switch relayMode {
-		case RelayModeEmbeddings:
-			baiduEmbeddingRequest := embeddingRequestOpenAI2Baidu(textRequest)
+		case constant.RelayModeEmbeddings:
+			baiduEmbeddingRequest := baidu.ConvertEmbeddingRequest(textRequest)
 			jsonData, err = json.Marshal(baiduEmbeddingRequest)
 		default:
-			baiduRequest := requestOpenAI2Baidu(textRequest)
+			baiduRequest := baidu.ConvertRequest(textRequest)
 			jsonData, err = json.Marshal(baiduRequest)
 		}
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonData)
 	case APITypePaLM:
-		palmRequest := requestOpenAI2PaLM(textRequest)
+		palmRequest := google.ConvertPaLMRequest(textRequest)
 		jsonStr, err := json.Marshal(palmRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeGemini:
-		geminiChatRequest := requestOpenAI2Gemini(textRequest)
+		geminiChatRequest := google.ConvertGeminiRequest(textRequest)
 		jsonStr, err := json.Marshal(geminiChatRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeZhipu:
-		zhipuRequest := requestOpenAI2Zhipu(textRequest)
+		zhipuRequest := zhipu.ConvertRequest(textRequest)
 		jsonStr, err := json.Marshal(zhipuRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeAli:
 		var jsonStr []byte
 		var err error
 		switch relayMode {
-		case RelayModeEmbeddings:
-			aliEmbeddingRequest := embeddingRequestOpenAI2Ali(textRequest)
+		case constant.RelayModeEmbeddings:
+			aliEmbeddingRequest := ali.ConvertEmbeddingRequest(textRequest)
 			jsonStr, err = json.Marshal(aliEmbeddingRequest)
 		default:
-			aliRequest := requestOpenAI2Ali(textRequest)
+			aliRequest := ali.ConvertRequest(textRequest)
 			jsonStr, err = json.Marshal(aliRequest)
 		}
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.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)
+		appId, secretId, secretKey, err := tencent.ParseConfig(apiKey)
 		if err != nil {
-			return errorWrapper(err, "invalid_tencent_config", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "invalid_tencent_config", http.StatusInternalServerError)
 		}
-		tencentRequest := requestOpenAI2Tencent(textRequest)
+		tencentRequest := tencent.ConvertRequest(textRequest)
 		tencentRequest.AppId = appId
 		tencentRequest.SecretId = secretId
 		jsonStr, err := json.Marshal(tencentRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
-		sign := getTencentSign(*tencentRequest, secretKey)
+		sign := tencent.GetSign(*tencentRequest, secretKey)
 		c.Request.Header.Set("Authorization", sign)
 		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeAIProxyLibrary:
-		aiProxyLibraryRequest := requestOpenAI2AIProxyLibrary(textRequest)
+		aiProxyLibraryRequest := aiproxy.ConvertRequest(textRequest)
 		aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
 		jsonStr, err := json.Marshal(aiProxyLibraryRequest)
 		if err != nil {
-			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	}
@@ -357,7 +346,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	if apiType != APITypeXunfei { // cause xunfei use websocket
 		req, err = http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
 		if err != nil {
-			return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
 		}
 		apiKey := c.Request.Header.Get("Authorization")
 		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
@@ -380,7 +369,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 			req.Header.Set("anthropic-version", anthropicVersion)
 		case APITypeZhipu:
-			token := getZhipuToken(apiKey)
+			token := zhipu.GetToken(apiKey)
 			req.Header.Set("Authorization", token)
 		case APITypeAli:
 			req.Header.Set("Authorization", "Bearer "+apiKey)
@@ -393,9 +382,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		case APITypeTencent:
 			req.Header.Set("Authorization", apiKey)
 		case APITypePaLM:
-			// do not set Authorization header
+			req.Header.Set("x-goog-api-key", apiKey)
 		case APITypeGemini:
-			// do not set Authorization header
+			req.Header.Set("x-goog-api-key", apiKey)
 		default:
 			req.Header.Set("Authorization", "Bearer "+apiKey)
 		}
@@ -405,17 +394,17 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			req.Header.Set("Accept", "text/event-stream")
 		}
 		//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
-		resp, err = httpClient.Do(req)
+		resp, err = util.HTTPClient.Do(req)
 		if err != nil {
-			return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+			return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
 		}
 		err = req.Body.Close()
 		if err != nil {
-			return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+			return openai.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)
+			return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 		}
 		isStream = isStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
 
@@ -429,11 +418,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 					}
 				}(c.Request.Context())
 			}
-			return relayErrorHandler(resp)
+			return util.RelayErrorHandler(resp)
 		}
 	}
 
-	var textResponse TextResponse
+	var textResponse openai.SlimTextResponse
 	tokenName := c.GetString("token_name")
 
 	defer func(ctx context.Context) {
@@ -474,15 +463,15 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	switch apiType {
 	case APITypeOpenAI:
 		if isStream {
-			err, responseText := openaiStreamHandler(c, resp, relayMode)
+			err, responseText := openai.StreamHandler(c, resp, relayMode)
 			if err != nil {
 				return err
 			}
 			textResponse.Usage.PromptTokens = promptTokens
-			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
-			err, usage := openaiHandler(c, resp, promptTokens, textRequest.Model)
+			err, usage := openai.Handler(c, resp, promptTokens, textRequest.Model)
 			if err != nil {
 				return err
 			}
@@ -493,15 +482,15 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 	case APITypeClaude:
 		if isStream {
-			err, responseText := claudeStreamHandler(c, resp)
+			err, responseText := anthropic.StreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
 			textResponse.Usage.PromptTokens = promptTokens
-			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
-			err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
+			err, usage := anthropic.Handler(c, resp, promptTokens, textRequest.Model)
 			if err != nil {
 				return err
 			}
@@ -512,7 +501,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 	case APITypeBaidu:
 		if isStream {
-			err, usage := baiduStreamHandler(c, resp)
+			err, usage := baidu.StreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
@@ -521,13 +510,13 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 			return nil
 		} else {
-			var err *OpenAIErrorWithStatusCode
-			var usage *Usage
+			var err *openai.ErrorWithStatusCode
+			var usage *openai.Usage
 			switch relayMode {
-			case RelayModeEmbeddings:
-				err, usage = baiduEmbeddingHandler(c, resp)
+			case constant.RelayModeEmbeddings:
+				err, usage = baidu.EmbeddingHandler(c, resp)
 			default:
-				err, usage = baiduHandler(c, resp)
+				err, usage = baidu.Handler(c, resp)
 			}
 			if err != nil {
 				return err
@@ -539,15 +528,15 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 	case APITypePaLM:
 		if textRequest.Stream { // PaLM2 API does not support stream
-			err, responseText := palmStreamHandler(c, resp)
+			err, responseText := google.PaLMStreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
 			textResponse.Usage.PromptTokens = promptTokens
-			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
-			err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
+			err, usage := google.PaLMHandler(c, resp, promptTokens, textRequest.Model)
 			if err != nil {
 				return err
 			}
@@ -558,15 +547,15 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 	case APITypeGemini:
 		if textRequest.Stream {
-			err, responseText := geminiChatStreamHandler(c, resp)
+			err, responseText := google.StreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
 			textResponse.Usage.PromptTokens = promptTokens
-			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
-			err, usage := geminiChatHandler(c, resp, promptTokens, textRequest.Model)
+			err, usage := google.GeminiHandler(c, resp, promptTokens, textRequest.Model)
 			if err != nil {
 				return err
 			}
@@ -577,7 +566,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 	case APITypeZhipu:
 		if isStream {
-			err, usage := zhipuStreamHandler(c, resp)
+			err, usage := zhipu.StreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
@@ -588,7 +577,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
 			return nil
 		} else {
-			err, usage := zhipuHandler(c, resp)
+			err, usage := zhipu.Handler(c, resp)
 			if err != nil {
 				return err
 			}
@@ -601,7 +590,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 	case APITypeAli:
 		if isStream {
-			err, usage := aliStreamHandler(c, resp)
+			err, usage := ali.StreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
@@ -610,13 +599,13 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 			return nil
 		} else {
-			var err *OpenAIErrorWithStatusCode
-			var usage *Usage
+			var err *openai.ErrorWithStatusCode
+			var usage *openai.Usage
 			switch relayMode {
-			case RelayModeEmbeddings:
-				err, usage = aliEmbeddingHandler(c, resp)
+			case constant.RelayModeEmbeddings:
+				err, usage = ali.EmbeddingHandler(c, resp)
 			default:
-				err, usage = aliHandler(c, resp)
+				err, usage = ali.Handler(c, resp)
 			}
 			if err != nil {
 				return err
@@ -631,14 +620,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		auth = strings.TrimPrefix(auth, "Bearer ")
 		splits := strings.Split(auth, "|")
 		if len(splits) != 3 {
-			return errorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest)
+			return openai.ErrorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest)
 		}
-		var err *OpenAIErrorWithStatusCode
-		var usage *Usage
+		var err *openai.ErrorWithStatusCode
+		var usage *openai.Usage
 		if isStream {
-			err, usage = xunfeiStreamHandler(c, textRequest, splits[0], splits[1], splits[2])
+			err, usage = xunfei.StreamHandler(c, textRequest, splits[0], splits[1], splits[2])
 		} else {
-			err, usage = xunfeiHandler(c, textRequest, splits[0], splits[1], splits[2])
+			err, usage = xunfei.Handler(c, textRequest, splits[0], splits[1], splits[2])
 		}
 		if err != nil {
 			return err
@@ -649,7 +638,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		return nil
 	case APITypeAIProxyLibrary:
 		if isStream {
-			err, usage := aiProxyLibraryStreamHandler(c, resp)
+			err, usage := aiproxy.StreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
@@ -658,7 +647,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 			return nil
 		} else {
-			err, usage := aiProxyLibraryHandler(c, resp)
+			err, usage := aiproxy.Handler(c, resp)
 			if err != nil {
 				return err
 			}
@@ -669,15 +658,15 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 	case APITypeTencent:
 		if isStream {
-			err, responseText := tencentStreamHandler(c, resp)
+			err, responseText := tencent.StreamHandler(c, resp)
 			if err != nil {
 				return err
 			}
 			textResponse.Usage.PromptTokens = promptTokens
-			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
-			err, usage := tencentHandler(c, resp)
+			err, usage := tencent.Handler(c, resp)
 			if err != nil {
 				return err
 			}
@@ -687,6 +676,6 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			return nil
 		}
 	default:
-		return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
+		return openai.ErrorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
 	}
 }

relay/util/common.go

@@ -0,0 +1,166 @@
+package util
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"one-api/common"
+	"one-api/model"
+	"one-api/relay/channel/openai"
+	"strconv"
+	"strings"
+
+	"github.com/gin-gonic/gin"
+)
+
+func ShouldDisableChannel(err *openai.Error, statusCode int) bool {
+	if !common.AutomaticDisableChannelEnabled {
+		return false
+	}
+	if err == nil {
+		return false
+	}
+	if statusCode == http.StatusUnauthorized {
+		return true
+	}
+	if err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated" {
+		return true
+	}
+	return false
+}
+
+func ShouldEnableChannel(err error, openAIErr *openai.Error) bool {
+	if !common.AutomaticEnableChannelEnabled {
+		return false
+	}
+	if err != nil {
+		return false
+	}
+	if openAIErr != nil {
+		return false
+	}
+	return true
+}
+
+type GeneralErrorResponse struct {
+	Error    openai.Error `json:"error"`
+	Message  string       `json:"message"`
+	Msg      string       `json:"msg"`
+	Err      string       `json:"err"`
+	ErrorMsg string       `json:"error_msg"`
+	Header   struct {
+		Message string `json:"message"`
+	} `json:"header"`
+	Response struct {
+		Error struct {
+			Message string `json:"message"`
+		} `json:"error"`
+	} `json:"response"`
+}
+
+func (e GeneralErrorResponse) ToMessage() string {
+	if e.Error.Message != "" {
+		return e.Error.Message
+	}
+	if e.Message != "" {
+		return e.Message
+	}
+	if e.Msg != "" {
+		return e.Msg
+	}
+	if e.Err != "" {
+		return e.Err
+	}
+	if e.ErrorMsg != "" {
+		return e.ErrorMsg
+	}
+	if e.Header.Message != "" {
+		return e.Header.Message
+	}
+	if e.Response.Error.Message != "" {
+		return e.Response.Error.Message
+	}
+	return ""
+}
+
+func RelayErrorHandler(resp *http.Response) (ErrorWithStatusCode *openai.ErrorWithStatusCode) {
+	ErrorWithStatusCode = &openai.ErrorWithStatusCode{
+		StatusCode: resp.StatusCode,
+		Error: openai.Error{
+			Message: "",
+			Type:    "upstream_error",
+			Code:    "bad_response_status_code",
+			Param:   strconv.Itoa(resp.StatusCode),
+		},
+	}
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return
+	}
+	var errResponse GeneralErrorResponse
+	err = json.Unmarshal(responseBody, &errResponse)
+	if err != nil {
+		return
+	}
+	if errResponse.Error.Message != "" {
+		// OpenAI format error, so we override the default one
+		ErrorWithStatusCode.Error = errResponse.Error
+	} else {
+		ErrorWithStatusCode.Error.Message = errResponse.ToMessage()
+	}
+	if ErrorWithStatusCode.Error.Message == "" {
+		ErrorWithStatusCode.Error.Message = fmt.Sprintf("bad response status code %d", resp.StatusCode)
+	}
+	return
+}
+
+func GetFullRequestURL(baseURL string, requestURL string, channelType int) string {
+	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
+
+	if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
+		switch channelType {
+		case common.ChannelTypeOpenAI:
+			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/v1"))
+		case common.ChannelTypeAzure:
+			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/openai/deployments"))
+		}
+	}
+	return fullRequestURL
+}
+
+func PostConsumeQuota(ctx context.Context, tokenId int, quotaDelta int, totalQuota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
+	// quotaDelta is remaining quota to be consumed
+	err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
+	if err != nil {
+		common.SysError("error consuming token remain quota: " + err.Error())
+	}
+	err = model.CacheUpdateUserQuota(userId)
+	if err != nil {
+		common.SysError("error update user quota cache: " + err.Error())
+	}
+	// totalQuota is total quota consumed
+	if totalQuota != 0 {
+		logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
+		model.RecordConsumeLog(ctx, userId, channelId, totalQuota, 0, modelName, tokenName, totalQuota, logContent)
+		model.UpdateUserUsedQuotaAndRequestCount(userId, totalQuota)
+		model.UpdateChannelUsedQuota(channelId, totalQuota)
+	}
+	if totalQuota <= 0 {
+		common.LogError(ctx, fmt.Sprintf("totalQuota consumed is %d, something is wrong", totalQuota))
+	}
+}
+
+func GetAPIVersion(c *gin.Context) string {
+	query := c.Request.URL.Query()
+	apiVersion := query.Get("api-version")
+	if apiVersion == "" {
+		apiVersion = c.GetString("api_version")
+	}
+	return apiVersion
+}

relay/util/init.go

@@ -0,0 +1,24 @@
+package util
+
+import (
+	"net/http"
+	"one-api/common"
+	"time"
+)
+
+var HTTPClient *http.Client
+var ImpatientHTTPClient *http.Client
+
+func init() {
+	if common.RelayTimeout == 0 {
+		HTTPClient = &http.Client{}
+	} else {
+		HTTPClient = &http.Client{
+			Timeout: time.Duration(common.RelayTimeout) * time.Second,
+		}
+	}
+
+	ImpatientHTTPClient = &http.Client{
+		Timeout: 5 * time.Second,
+	}
+}

router/api-router.go

@@ -35,6 +35,7 @@ func SetApiRouter(router *gin.Engine) {
 			selfRoute := userRoute.Group("/")
 			selfRoute.Use(middleware.UserAuth())
 			{
+				selfRoute.GET("/dashboard", controller.GetUserDashboard)
 				selfRoute.GET("/self", controller.GetSelf)
 				selfRoute.PUT("/self", controller.UpdateSelf)
 				selfRoute.DELETE("/self", controller.DeleteSelf)

router/main.go

@@ -10,7 +10,7 @@ import (
 	"strings"
 )
 
-func SetRouter(router *gin.Engine, buildFS embed.FS, indexPage []byte) {
+func SetRouter(router *gin.Engine, buildFS embed.FS) {
 	SetApiRouter(router)
 	SetDashboardRouter(router)
 	SetRelayRouter(router)
@@ -20,7 +20,7 @@ func SetRouter(router *gin.Engine, buildFS embed.FS, indexPage []byte) {
 		common.SysLog("FRONTEND_BASE_URL is ignored on master node")
 	}
 	if frontendBaseUrl == "" {
-		SetWebRouter(router, buildFS, indexPage)
+		SetWebRouter(router, buildFS)
 	} else {
 		frontendBaseUrl = strings.TrimSuffix(frontendBaseUrl, "/")
 		router.NoRoute(func(c *gin.Context) {

router/web-router.go

@@ -2,6 +2,7 @@ package router
 
 import (
 	"embed"
+	"fmt"
 	"github.com/gin-contrib/gzip"
 	"github.com/gin-contrib/static"
 	"github.com/gin-gonic/gin"
@@ -12,17 +13,18 @@ import (
 	"strings"
 )
 
-func SetWebRouter(router *gin.Engine, buildFS embed.FS, indexPage []byte) {
+func SetWebRouter(router *gin.Engine, buildFS embed.FS) {
+	indexPageData, _ := buildFS.ReadFile(fmt.Sprintf("web/build/%s/index.html", common.Theme))
 	router.Use(gzip.Gzip(gzip.DefaultCompression))
 	router.Use(middleware.GlobalWebRateLimit())
 	router.Use(middleware.Cache())
-	router.Use(static.Serve("/", common.EmbedFolder(buildFS, "web/build")))
+	router.Use(static.Serve("/", common.EmbedFolder(buildFS, fmt.Sprintf("web/build/%s", common.Theme))))
 	router.NoRoute(func(c *gin.Context) {
 		if strings.HasPrefix(c.Request.RequestURI, "/v1") || strings.HasPrefix(c.Request.RequestURI, "/api") {
 			controller.RelayNotFound(c)
 			return
 		}
 		c.Header("Cache-Control", "no-cache")
-		c.Data(http.StatusOK, "text/html; charset=utf-8", indexPage)
+		c.Data(http.StatusOK, "text/html; charset=utf-8", indexPageData)
 	})
 }

web/README.md

@@ -1,21 +1,38 @@
-# React Template
+# One API 的前端界面
 
-## Basic Usages
+> 每个文件夹代表一个主题，欢迎提交你的主题
 
-```shell
-# Runs the app in the development mode
-npm start
+## 提交新的主题
 
-# Builds the app for production to the `build` folder
-npm run build
-```
+> 欢迎在页面底部保留你和 One API 的版权信息以及指向链接
 
-If you want to change the default server, please set `REACT_APP_SERVER` environment variables before build,
-for example: `REACT_APP_SERVER=http://your.domain.com`.
+1. 在 `web` 文件夹下新建一个文件夹，文件夹名为主题名。
+2. 把你的主题文件放到这个文件夹下。
+3. 修改你的 `package.json` 文件，把 `build` 命令改为：`"build": "react-scripts build && mv -f build ../build/default"`，其中 `default` 为你的主题名。
+4. 修改 `common/constants.go` 中的 `ValidThemes`，把你的主题名称注册进去。
+5. 修改 `web/THEMES` 文件，这里也需要同步修改。
 
-Before you start editing, make sure your `Actions on Save` options have `Optimize imports` & `Run Prettier` enabled.
+## 主题列表
 
-## Reference
+### 主题：default
 
-1. https://github.com/OIerDb-ng/OIerDb
-2. https://github.com/cornflourblue/react-hooks-redux-registration-login-example
+默认主题，由 [JustSong](https://github.com/songquanpeng) 开发。
+
+预览：
+|![image](https://github.com/songquanpeng/one-api/assets/39998050/ccfbc668-3a7f-4bc1-87da-7eacfd7bf371)|![image](https://github.com/songquanpeng/one-api/assets/39998050/a63ed547-44b9-45db-b43a-ecea07d60840)|
+|:---:|:---:|
+
+### 主题：berry
+
+由 [MartialBE](https://github.com/MartialBE) 开发。
+
+预览：
+|||
+|:---:|:---:|
+|![image](https://github.com/songquanpeng/one-api/assets/42402987/36aff5c6-c5ff-4a90-8e3d-33d5cff34cbf)|![image](https://github.com/songquanpeng/one-api/assets/42402987/9ac63b36-5140-4064-8fad-fc9d25821509)|
+|![image](https://github.com/songquanpeng/one-api/assets/42402987/fb2b1c64-ef24-4027-9b80-0cd9d945a47f)|![image](https://github.com/songquanpeng/one-api/assets/42402987/b6b649ec-2888-4324-8b2d-d5e11554eed6)|
+|![image](https://github.com/songquanpeng/one-api/assets/42402987/6d3b22e0-436b-4e26-8911-bcc993c6a2bd)|![image](https://github.com/songquanpeng/one-api/assets/42402987/eef1e224-7245-44d7-804e-9d1c8fa3f29c)|
+
+#### 开发说明
+
+请查看 [web/berry/README.md](https://github.com/songquanpeng/one-api/tree/main/web/berry/README.md)

web/THEMES

@@ -0,0 +1,2 @@
+default
+berry

web/berry/README.md

@@ -0,0 +1,61 @@
+# One API 前端界面
+
+这个项目是 One API 的前端界面，它基于 [Berry Free React Admin Template](https://github.com/codedthemes/berry-free-react-admin-template) 进行开发。
+
+## 使用的开源项目
+
+使用了以下开源项目作为我们项目的一部分：
+
+- [Berry Free React Admin Template](https://github.com/codedthemes/berry-free-react-admin-template)
+- [minimal-ui-kit](minimal-ui-kit)
+
+## 开发说明
+
+当添加新的渠道时，需要修改以下地方：
+
+1. `web/berry/src/constants/ChannelConstants.js`
+
+在该文件中的 `CHANNEL_OPTIONS` 添加新的渠道
+
+```js
+export const CHANNEL_OPTIONS = {
+  //key 为渠道ID
+  1: {
+    key: 1, // 渠道ID
+    text: "OpenAI", // 渠道名称
+    value: 1, // 渠道ID
+    color: "primary", // 渠道列表显示的颜色
+  },
+};
+```
+
+2. `web/berry/src/views/Channel/type/Config.js`
+
+在该文件中的`typeConfig`添加新的渠道配置， 如果无需配置，可以不添加
+
+```js
+const typeConfig = {
+  // key 为渠道ID
+  3: {
+    inputLabel: {
+      // 输入框名称 配置
+      // 对应的字段名称
+      base_url: "AZURE_OPENAI_ENDPOINT",
+      other: "默认 API 版本",
+    },
+    prompt: {
+      // 输入框提示 配置
+      // 对应的字段名称
+      base_url: "请填写AZURE_OPENAI_ENDPOINT",
+
+      // 注意：通过判断 `other` 是否有值来判断是否需要显示 `other` 输入框， 默认是没有值的
+      other: "请输入默认API版本，例如：2023-06-01-preview",
+    },
+    modelGroup: "openai", // 模型组名称,这个值是给 填入渠道支持模型 按钮使用的。 填入渠道支持模型 按钮会根据这个值来获取模型组，如果填写默认是 openai
+  },
+};
+```
+
+## 许可证
+
+本项目中使用的代码遵循 MIT 许可证。

web/berry/jsconfig.json

@@ -0,0 +1,9 @@
+{
+  "compilerOptions": {
+    "target": "esnext",
+    "module": "commonjs",
+    "baseUrl": "src"
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules"]
+}

web/berry/package.json

@@ -0,0 +1,84 @@
+{
+  "name": "one_api_web",
+  "version": "1.0.0",
+  "proxy": "http://127.0.0.1:3000",
+  "private": true,
+  "homepage": "",
+  "dependencies": {
+    "@emotion/cache": "^11.9.3",
+    "@emotion/react": "^11.9.3",
+    "@emotion/styled": "^11.9.3",
+    "@mui/icons-material": "^5.8.4",
+    "@mui/lab": "^5.0.0-alpha.88",
+    "@mui/material": "^5.8.6",
+    "@mui/system": "^5.8.6",
+    "@mui/utils": "^5.8.6",
+    "@mui/x-date-pickers": "^6.18.5",
+    "@tabler/icons-react": "^2.44.0",
+    "apexcharts": "^3.35.3",
+    "axios": "^0.27.2",
+    "dayjs": "^1.11.10",
+    "formik": "^2.2.9",
+    "framer-motion": "^6.3.16",
+    "history": "^5.3.0",
+    "marked": "^4.1.1",
+    "material-ui-popup-state": "^4.0.1",
+    "notistack": "^3.0.1",
+    "prop-types": "^15.8.1",
+    "react": "^18.2.0",
+    "react-apexcharts": "^1.4.0",
+    "react-device-detect": "^2.2.2",
+    "react-dom": "^18.2.0",
+    "react-perfect-scrollbar": "^1.5.8",
+    "react-redux": "^8.0.2",
+    "react-router": "6.3.0",
+    "react-router-dom": "6.3.0",
+    "react-scripts": "^5.0.1",
+    "react-turnstile": "^1.1.2",
+    "redux": "^4.2.0",
+    "yup": "^0.32.11"
+  },
+  "scripts": {
+    "start": "react-scripts start",
+    "build": "react-scripts build && mv -f build ../build/berry",
+    "test": "react-scripts test",
+    "eject": "react-scripts eject"
+  },
+  "eslintConfig": {
+    "extends": [
+      "react-app"
+    ]
+  },
+  "babel": {
+    "presets": [
+      "@babel/preset-react"
+    ]
+  },
+  "browserslist": {
+    "production": [
+      "defaults",
+      "not IE 11"
+    ],
+    "development": [
+      "last 1 chrome version",
+      "last 1 firefox version",
+      "last 1 safari version"
+    ]
+  },
+  "devDependencies": {
+    "@babel/core": "^7.21.4",
+    "@babel/eslint-parser": "^7.21.3",
+    "eslint": "^8.38.0",
+    "eslint-config-prettier": "^8.8.0",
+    "eslint-config-react-app": "^7.0.1",
+    "eslint-plugin-flowtype": "^8.0.3",
+    "eslint-plugin-import": "^2.27.5",
+    "eslint-plugin-jsx-a11y": "^6.7.1",
+    "eslint-plugin-prettier": "^4.2.1",
+    "eslint-plugin-react": "^7.32.2",
+    "eslint-plugin-react-hooks": "^4.6.0",
+    "immutable": "^4.3.0",
+    "prettier": "^2.8.7",
+    "sass": "^1.53.0"
+  }
+}

web/berry/public/index.html

@@ -0,0 +1,26 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <title>One API</title>
+    <link rel="icon" href="/favicon.ico" />
+    <!-- Meta Tags-->
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <meta name="theme-color" content="#2296f3" />
+    <meta
+      name="description"
+      content="OpenAI 接口聚合管理，支持多种渠道包括 Azure，可用于二次分发管理 key，仅单可执行文件，已打包好 Docker 镜像，一键部署，开箱即用"
+    />
+    <link rel="preconnect" href="https://fonts.gstatic.com" />
+    <link
+      href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Poppins:wght@400;500;600;700&family=Roboto:wght@400;500;700&display=swap"
+      rel="stylesheet"
+    />
+  </head>
+
+  <body>
+    <noscript>You need to enable JavaScript to run this app.</noscript>
+    <div id="root"></div>
+
+  </body>
+</html>

web/berry/src/App.js

@@ -0,0 +1,43 @@
+import { useSelector } from 'react-redux';
+
+import { ThemeProvider } from '@mui/material/styles';
+import { CssBaseline, StyledEngineProvider } from '@mui/material';
+
+// routing
+import Routes from 'routes';
+
+// defaultTheme
+import themes from 'themes';
+
+// project imports
+import NavigationScroll from 'layout/NavigationScroll';
+
+// auth
+import UserProvider from 'contexts/UserContext';
+import StatusProvider from 'contexts/StatusContext';
+import { SnackbarProvider } from 'notistack';
+
+// ==============================|| APP ||============================== //
+
+const App = () => {
+  const customization = useSelector((state) => state.customization);
+
+  return (
+    <StyledEngineProvider injectFirst>
+      <ThemeProvider theme={themes(customization)}>
+        <CssBaseline />
+        <NavigationScroll>
+          <SnackbarProvider autoHideDuration={5000} maxSnack={3} anchorOrigin={{ vertical: 'top', horizontal: 'right' }}>
+            <UserProvider>
+              <StatusProvider>
+                <Routes />
+              </StatusProvider>
+            </UserProvider>
+          </SnackbarProvider>
+        </NavigationScroll>
+      </ThemeProvider>
+    </StyledEngineProvider>
+  );
+};
+
+export default App;

web/berry/src/assets/images/404.svg

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web/berry/src/assets/images/auth/auth-pattern-dark.svg

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web/berry/src/assets/images/icons/earning.svg

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+  <path id="svg_7" d="m303.07,338.46l-0.15,14.42q-0.01,1.55 -1.56,1.52l-5.84,-0.12q-1.79,-0.04 -1.81,-1.83c-0.24,-15.33 -0.25,-30.89 -0.27,-47.22q-0.01,-2.99 2.55,-3.06q12.47,-0.33 20.15,0.8q8.61,1.25 12.86,9.17c2.95,5.49 2.53,13.5 -1.5,18.65c-5.57,7.14 -14.88,6.62 -23.24,6.51a1.17,1.17 0 0 0 -1.19,1.16zm-0.15,-24.81l0.16,12.72a1.72,1.72 0 0 0 1.74,1.7l6.07,-0.08a10.01,7.98 -0.7 0 0 9.91,-8.1l0,-0.2a10.01,7.98 -0.7 0 0 -10.11,-7.86l-6.07,0.08a1.72,1.72 0 0 0 -1.7,1.74z" fill="#0d161f"/>
+  <rect id="svg_8" rx="3.58" height="7.26" width="79.2" y="322.99" x="107" fill="#0d161f"/>
+  <rect id="svg_9" rx="3.81" height="7.72" width="79.1" y="322.78" x="417.27" fill="#0d161f"/>
+ </g>
+</svg>

web/berry/src/assets/scss/_themes-vars.module.scss

@@ -0,0 +1,157 @@
+// paper & background
+$paper: #ffffff;
+
+// primary
+$primaryLight: #eef2f6;
+$primaryMain: #2196f3;
+$primaryDark: #1e88e5;
+$primary200: #90caf9;
+$primary800: #1565c0;
+
+// secondary
+$secondaryLight: #ede7f6;
+$secondaryMain: #673ab7;
+$secondaryDark: #5e35b1;
+$secondary200: #b39ddb;
+$secondary800: #4527a0;
+
+// success Colors
+$successLight: #b9f6ca;
+$success200: #69f0ae;
+$successMain: #00e676;
+$successDark: #00c853;
+
+// error
+$errorLight: #ef9a9a;
+$errorMain: #f44336;
+$errorDark: #c62828;
+
+// orange
+$orangeLight: #fbe9e7;
+$orangeMain: #ffab91;
+$orangeDark: #d84315;
+
+// warning
+$warningLight: #fff8e1;
+$warningMain: #ffe57f;
+$warningDark: #ffc107;
+
+// grey
+$grey50: #f8fafc;
+$grey100: #eef2f6;
+$grey200: #e3e8ef;
+$grey300: #cdd5df;
+$grey500: #697586;
+$grey600: #4b5565;
+$grey700: #364152;
+$grey900: #121926;
+
+// ==============================|| DARK THEME VARIANTS ||============================== //
+
+// paper & background
+$darkBackground: #1a223f; // level 3
+$darkPaper: #111936; // level 4
+
+// dark 800 & 900
+$darkLevel1: #29314f; // level 1
+$darkLevel2: #212946; // level 2
+
+// primary dark
+$darkPrimaryLight: #eef2f6;
+$darkPrimaryMain: #2196f3;
+$darkPrimaryDark: #1e88e5;
+$darkPrimary200: #90caf9;
+$darkPrimary800: #1565c0;
+
+// secondary dark
+$darkSecondaryLight: #d1c4e9;
+$darkSecondaryMain: #7c4dff;
+$darkSecondaryDark: #651fff;
+$darkSecondary200: #b39ddb;
+$darkSecondary800: #6200ea;
+
+// text variants
+$darkTextTitle: #d7dcec;
+$darkTextPrimary: #bdc8f0;
+$darkTextSecondary: #8492c4;
+
+// ==============================|| JAVASCRIPT ||============================== //
+
+:export {
+  // paper & background
+  paper: $paper;
+
+  // primary
+  primaryLight: $primaryLight;
+  primary200: $primary200;
+  primaryMain: $primaryMain;
+  primaryDark: $primaryDark;
+  primary800: $primary800;
+
+  // secondary
+  secondaryLight: $secondaryLight;
+  secondary200: $secondary200;
+  secondaryMain: $secondaryMain;
+  secondaryDark: $secondaryDark;
+  secondary800: $secondary800;
+
+  // success
+  successLight: $successLight;
+  success200: $success200;
+  successMain: $successMain;
+  successDark: $successDark;
+
+  // error
+  errorLight: $errorLight;
+  errorMain: $errorMain;
+  errorDark: $errorDark;
+
+  // orange
+  orangeLight: $orangeLight;
+  orangeMain: $orangeMain;
+  orangeDark: $orangeDark;
+
+  // warning
+  warningLight: $warningLight;
+  warningMain: $warningMain;
+  warningDark: $warningDark;
+
+  // grey
+  grey50: $grey50;
+  grey100: $grey100;
+  grey200: $grey200;
+  grey300: $grey300;
+  grey500: $grey500;
+  grey600: $grey600;
+  grey700: $grey700;
+  grey900: $grey900;
+
+  // ==============================|| DARK THEME VARIANTS ||============================== //
+
+  // paper & background
+  darkPaper: $darkPaper;
+  darkBackground: $darkBackground;
+
+  // dark 800 & 900
+  darkLevel1: $darkLevel1;
+  darkLevel2: $darkLevel2;
+
+  // text variants
+  darkTextTitle: $darkTextTitle;
+  darkTextPrimary: $darkTextPrimary;
+  darkTextSecondary: $darkTextSecondary;
+
+  // primary dark
+  darkPrimaryLight: $darkPrimaryLight;
+  darkPrimaryMain: $darkPrimaryMain;
+  darkPrimaryDark: $darkPrimaryDark;
+  darkPrimary200: $darkPrimary200;
+  darkPrimary800: $darkPrimary800;
+
+  // secondary dark
+  darkSecondaryLight: $darkSecondaryLight;
+  darkSecondaryMain: $darkSecondaryMain;
+  darkSecondaryDark: $darkSecondaryDark;
+  darkSecondary200: $darkSecondary200;
+  darkSecondary800: $darkSecondary800;
+}

web/berry/src/assets/scss/style.scss

@@ -0,0 +1,128 @@
+// color variants
+@import 'themes-vars.module.scss';
+
+// third-party
+@import '~react-perfect-scrollbar/dist/css/styles.css';
+
+// ==============================|| LIGHT BOX ||============================== //
+.fullscreen .react-images__blanket {
+  z-index: 1200;
+}
+
+// ==============================|| APEXCHART ||============================== //
+
+.apexcharts-legend-series .apexcharts-legend-marker {
+  margin-right: 8px;
+}
+
+// ==============================|| PERFECT SCROLLBAR ||============================== //
+
+.scrollbar-container {
+  .ps__rail-y {
+    &:hover > .ps__thumb-y,
+    &:focus > .ps__thumb-y,
+    &.ps--clicking .ps__thumb-y {
+      background-color: $grey500;
+      width: 5px;
+    }
+  }
+  .ps__thumb-y {
+    background-color: $grey500;
+    border-radius: 6px;
+    width: 5px;
+    right: 0;
+  }
+}
+
+.scrollbar-container.ps,
+.scrollbar-container > .ps {
+  &.ps--active-y > .ps__rail-y {
+    width: 5px;
+    background-color: transparent !important;
+    z-index: 999;
+    &:hover,
+    &.ps--clicking {
+      width: 5px;
+      background-color: transparent;
+    }
+  }
+  &.ps--scrolling-y > .ps__rail-y,
+  &.ps--scrolling-x > .ps__rail-x {
+    opacity: 0.4;
+    background-color: transparent;
+  }
+}
+
+// ==============================|| ANIMATION KEYFRAMES ||============================== //
+
+@keyframes wings {
+  50% {
+    transform: translateY(-40px);
+  }
+  100% {
+    transform: translateY(0px);
+  }
+}
+
+@keyframes blink {
+  50% {
+    opacity: 0;
+  }
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes bounce {
+  0%,
+  20%,
+  53%,
+  to {
+    animation-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1);
+    transform: translateZ(0);
+  }
+  40%,
+  43% {
+    animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06);
+    transform: translate3d(0, -5px, 0);
+  }
+  70% {
+    animation-timing-function: cubic-bezier(0.755, 0.05, 0.855, 0.06);
+    transform: translate3d(0, -7px, 0);
+  }
+  80% {
+    transition-timing-function: cubic-bezier(0.215, 0.61, 0.355, 1);
+    transform: translateZ(0);
+  }
+  90% {
+    transform: translate3d(0, -2px, 0);
+  }
+}
+
+@keyframes slideY {
+  0%,
+  50%,
+  100% {
+    transform: translateY(0px);
+  }
+  25% {
+    transform: translateY(-10px);
+  }
+  75% {
+    transform: translateY(10px);
+  }
+}
+
+@keyframes slideX {
+  0%,
+  50%,
+  100% {
+    transform: translateX(0px);
+  }
+  25% {
+    transform: translateX(-10px);
+  }
+  75% {
+    transform: translateX(10px);
+  }
+}

web/berry/src/config.js

@@ -0,0 +1,29 @@
+const config = {
+  // basename: only at build time to set, and Don't add '/' at end off BASENAME for breadcrumbs, also Don't put only '/' use blank('') instead,
+  // like '/berry-material-react/react/default'
+  basename: '/',
+  defaultPath: '/panel/dashboard',
+  fontFamily: `'Roboto', sans-serif, Helvetica, Arial, sans-serif`,
+  borderRadius: 12,
+  siteInfo: {
+    chat_link: '',
+    display_in_currency: true,
+    email_verification: false,
+    footer_html: '',
+    github_client_id: '',
+    github_oauth: false,
+    logo: '',
+    quota_per_unit: 500000,
+    server_address: '',
+    start_time: 0,
+    system_name: 'One API',
+    top_up_link: '',
+    turnstile_check: false,
+    turnstile_site_key: '',
+    version: '',
+    wechat_login: false,
+    wechat_qrcode: ''
+  }
+};
+
+export default config;

web/berry/src/constants/ChannelConstants.js

@@ -0,0 +1,146 @@
+export const CHANNEL_OPTIONS = {
+  1: {
+    key: 1,
+    text: 'OpenAI',
+    value: 1,
+    color: 'primary'
+  },
+  14: {
+    key: 14,
+    text: 'Anthropic Claude',
+    value: 14,
+    color: 'info'
+  },
+  3: {
+    key: 3,
+    text: 'Azure OpenAI',
+    value: 3,
+    color: 'orange'
+  },
+  11: {
+    key: 11,
+    text: 'Google PaLM2',
+    value: 11,
+    color: 'orange'
+  },
+  24: {
+    key: 24,
+    text: 'Google Gemini',
+    value: 24,
+    color: 'orange'
+  },
+  15: {
+    key: 15,
+    text: '百度文心千帆',
+    value: 15,
+    color: 'default'
+  },
+  17: {
+    key: 17,
+    text: '阿里通义千问',
+    value: 17,
+    color: 'default'
+  },
+  18: {
+    key: 18,
+    text: '讯飞星火认知',
+    value: 18,
+    color: 'default'
+  },
+  16: {
+    key: 16,
+    text: '智谱 ChatGLM',
+    value: 16,
+    color: 'default'
+  },
+  19: {
+    key: 19,
+    text: '360 智脑',
+    value: 19,
+    color: 'default'
+  },
+  23: {
+    key: 23,
+    text: '腾讯混元',
+    value: 23,
+    color: 'default'
+  },
+  8: {
+    key: 8,
+    text: '自定义渠道',
+    value: 8,
+    color: 'primary'
+  },
+  22: {
+    key: 22,
+    text: '知识库：FastGPT',
+    value: 22,
+    color: 'default'
+  },
+  21: {
+    key: 21,
+    text: '知识库：AI Proxy',
+    value: 21,
+    color: 'purple'
+  },
+  20: {
+    key: 20,
+    text: '代理：OpenRouter',
+    value: 20,
+    color: 'primary'
+  },
+  2: {
+    key: 2,
+    text: '代理：API2D',
+    value: 2,
+    color: 'primary'
+  },
+  5: {
+    key: 5,
+    text: '代理：OpenAI-SB',
+    value: 5,
+    color: 'primary'
+  },
+  7: {
+    key: 7,
+    text: '代理：OhMyGPT',
+    value: 7,
+    color: 'primary'
+  },
+  10: {
+    key: 10,
+    text: '代理：AI Proxy',
+    value: 10,
+    color: 'primary'
+  },
+  4: {
+    key: 4,
+    text: '代理：CloseAI',
+    value: 4,
+    color: 'primary'
+  },
+  6: {
+    key: 6,
+    text: '代理：OpenAI Max',
+    value: 6,
+    color: 'primary'
+  },
+  9: {
+    key: 9,
+    text: '代理：AI.LS',
+    value: 9,
+    color: 'primary'
+  },
+  12: {
+    key: 12,
+    text: '代理：API2GPT',
+    value: 12,
+    color: 'primary'
+  },
+  13: {
+    key: 13,
+    text: '代理：AIGC2D',
+    value: 13,
+    color: 'primary'
+  }
+};

web/berry/src/constants/SnackbarConstants.js

@@ -0,0 +1,27 @@
+export const snackbarConstants = {
+  Common: {
+    ERROR: {
+      variant: 'error',
+      autoHideDuration: 5000
+    },
+    WARNING: {
+      variant: 'warning',
+      autoHideDuration: 10000
+    },
+    SUCCESS: {
+      variant: 'success',
+      autoHideDuration: 1500
+    },
+    INFO: {
+      variant: 'info',
+      autoHideDuration: 3000
+    },
+    NOTICE: {
+      variant: 'info',
+      autoHideDuration: 20000
+    }
+  },
+  Mobile: {
+    anchorOrigin: { vertical: 'bottom', horizontal: 'center' }
+  }
+};

web/berry/src/constants/index.js

@@ -0,0 +1,3 @@
+export * from './SnackbarConstants';
+export * from './CommonConstants';
+export * from './ChannelConstants';

web/berry/src/contexts/StatusContext.js

@@ -0,0 +1,70 @@
+import { useEffect, useCallback, createContext } from "react";
+import { API } from "utils/api";
+import { showNotice, showError } from "utils/common";
+import { SET_SITE_INFO } from "store/actions";
+import { useDispatch } from "react-redux";
+
+export const LoadStatusContext = createContext();
+
+// eslint-disable-next-line
+const StatusProvider = ({ children }) => {
+  const dispatch = useDispatch();
+
+  const loadStatus = useCallback(async () => {
+    const res = await API.get("/api/status");
+    const { success, data } = res.data;
+    let system_name = "";
+    if (success) {
+      if (!data.chat_link) {
+        delete data.chat_link;
+      }
+      localStorage.setItem("siteInfo", JSON.stringify(data));
+      localStorage.setItem("quota_per_unit", data.quota_per_unit);
+      localStorage.setItem("display_in_currency", data.display_in_currency);
+      dispatch({ type: SET_SITE_INFO, payload: data });
+      if (
+        data.version !== process.env.REACT_APP_VERSION &&
+        data.version !== "v0.0.0" &&
+        data.version !== "" &&
+        process.env.REACT_APP_VERSION !== ""
+      ) {
+        showNotice(
+          `新版本可用：${data.version}，请使用快捷键 Shift + F5 刷新页面`
+        );
+      }
+      if (data.system_name) {
+        system_name = data.system_name;
+      }
+    } else {
+      const backupSiteInfo = localStorage.getItem("siteInfo");
+      if (backupSiteInfo) {
+        const data = JSON.parse(backupSiteInfo);
+        if (data.system_name) {
+          system_name = data.system_name;
+        }
+        dispatch({
+          type: SET_SITE_INFO,
+          payload: data,
+        });
+      }
+      showError("无法正常连接至服务器！");
+    }
+
+    if (system_name) {
+      document.title = system_name;
+    }
+  }, [dispatch]);
+
+  useEffect(() => {
+    loadStatus().then();
+  }, [loadStatus]);
+
+  return (
+    <LoadStatusContext.Provider value={loadStatus}>
+      {" "}
+      {children}{" "}
+    </LoadStatusContext.Provider>
+  );
+};
+
+export default StatusProvider;

web/berry/src/contexts/UserContext.js

@@ -0,0 +1,29 @@
+// contexts/User/index.jsx
+import React, { useEffect, useCallback, createContext, useState } from 'react';
+import { LOGIN } from 'store/actions';
+import { useDispatch } from 'react-redux';
+
+export const UserContext = createContext();
+
+// eslint-disable-next-line
+const UserProvider = ({ children }) => {
+  const dispatch = useDispatch();
+  const [isUserLoaded, setIsUserLoaded] = useState(false);
+
+  const loadUser = useCallback(() => {
+    let user = localStorage.getItem('user');
+    if (user) {
+      let data = JSON.parse(user);
+      dispatch({ type: LOGIN, payload: data });
+    }
+    setIsUserLoaded(true);
+  }, [dispatch]);
+
+  useEffect(() => {
+    loadUser();
+  }, [loadUser]);
+
+  return <UserContext.Provider value={{ loadUser, isUserLoaded }}> {children} </UserContext.Provider>;
+};
+
+export default UserProvider;

web/berry/src/hooks/useAuth.js

@@ -0,0 +1,13 @@
+import { isAdmin } from 'utils/common';
+import { useNavigate } from 'react-router-dom';
+const navigate = useNavigate();
+
+const useAuth = () => {
+  const userIsAdmin = isAdmin();
+
+  if (!userIsAdmin) {
+    navigate('/panel/404');
+  }
+};
+
+export default useAuth;

web/berry/src/hooks/useLogin.js

@@ -0,0 +1,78 @@
+import { API } from 'utils/api';
+import { useDispatch } from 'react-redux';
+import { LOGIN } from 'store/actions';
+import { useNavigate } from 'react-router';
+import { showSuccess } from 'utils/common';
+
+const useLogin = () => {
+  const dispatch = useDispatch();
+  const navigate = useNavigate();
+  const login = async (username, password) => {
+    try {
+      const res = await API.post(`/api/user/login`, {
+        username,
+        password
+      });
+      const { success, message, data } = res.data;
+      if (success) {
+        localStorage.setItem('user', JSON.stringify(data));
+        dispatch({ type: LOGIN, payload: data });
+        navigate('/panel');
+      }
+      return { success, message };
+    } catch (err) {
+      // 请求失败，设置错误信息
+      return { success: false, message: '' };
+    }
+  };
+
+  const githubLogin = async (code, state) => {
+    try {
+      const res = await API.get(`/api/oauth/github?code=${code}&state=${state}`);
+      const { success, message, data } = res.data;
+      if (success) {
+        if (message === 'bind') {
+          showSuccess('绑定成功！');
+          navigate('/panel');
+        } else {
+          dispatch({ type: LOGIN, payload: data });
+          localStorage.setItem('user', JSON.stringify(data));
+          showSuccess('登录成功！');
+          navigate('/panel');
+        }
+      }
+      return { success, message };
+    } catch (err) {
+      // 请求失败，设置错误信息
+      return { success: false, message: '' };
+    }
+  };
+
+  const wechatLogin = async (code) => {
+    try {
+      const res = await API.get(`/api/oauth/wechat?code=${code}`);
+      const { success, message, data } = res.data;
+      if (success) {
+        dispatch({ type: LOGIN, payload: data });
+        localStorage.setItem('user', JSON.stringify(data));
+        showSuccess('登录成功！');
+        navigate('/panel');
+      }
+      return { success, message };
+    } catch (err) {
+      // 请求失败，设置错误信息
+      return { success: false, message: '' };
+    }
+  };
+
+  const logout = async () => {
+    await API.get('/api/user/logout');
+    localStorage.removeItem('user');
+    dispatch({ type: LOGIN, payload: null });
+    navigate('/');
+  };
+
+  return { login, logout, githubLogin, wechatLogin };
+};
+
+export default useLogin;