Compare commits

...

24 Commits

Author SHA1 Message Date
JustSong
de18d6fe16 refactor: refactor image relay (close #1068) 2024-03-03 19:30:11 +08:00
JustSong
1d0b7fb5ae feat: support chatglm-4 (close #1045, close #952, close #952, close #943) 2024-03-02 03:05:25 +08:00
JustSong
f9490bb72e fix: able to use updated default ratio 2024-03-02 01:32:04 +08:00
JustSong
76467285e8 docs: update readme 2024-03-02 01:25:21 +08:00
JustSong
df1fd9aa81 feat: support minimax's models now (close #354) 2024-03-02 01:24:28 +08:00
JustSong
614c2e0442 feat: support baichuan's models now (close #1057) 2024-03-02 00:55:48 +08:00
JustSong
eac6a0b9aa fix: fix version is blank 2024-03-02 00:03:29 +08:00
JustSong
b747cdbc6f fix: fix getAndValidateTextRequest failed: unexpected end of JSON input (close #1043) 2024-02-26 22:52:16 +08:00
JustSong
6b27d6659a fix: add role for ChatCompletionsStreamResponseChoice.Delta 2024-02-25 19:49:22 +08:00
JustSong
dc5b781191 fix: fix stream response id 2024-02-25 19:47:59 +08:00
JustSong
c880b4a9a3 fix: fix missing index in ChatCompletionsStreamResponseChoice (#1037) 2024-02-25 19:17:37 +08:00
JustSong
565ea58e68 feat: built in retry supported (close #1036, close #770) 2024-02-25 19:01:49 +08:00
JustSong
f141a37a9e fix: fix "error update user quota cache: Error 1040: Too many connections" 2024-02-25 16:58:14 +08:00
JustSong
5b78886ad3 fix: fix i18n 2024-02-25 16:53:46 +08:00
JustSong
87c7c4f0e6 fix: rm history build before building 2024-02-25 02:07:34 +08:00
JustSong
4c4a873890 fix: add an ending line for THEMES 2024-02-25 01:59:40 +08:00
JustSong
0664bdfda1 fix: fix build.sh (close #1026) 2024-02-25 01:53:27 +08:00
JustSong
32387d9c20 fix: fix version is blank 2024-02-21 22:21:01 +08:00
JustSong
bd888f2eb7 fix: fix prompt token is zero (close #1023) 2024-02-21 22:19:42 +08:00
JustSong
cece77e533 fix: fix model list 2024-02-19 22:20:18 +08:00
JustSong
2a5468e23c refactor: remove useless button (close #1014) 2024-02-18 22:21:37 +08:00
JustSong
d0e415893b fix: fix SparkDesk model name 2024-02-18 17:16:11 +08:00
JustSong
6cf5ce9a7a fix: fix SparkDesk model name 2024-02-18 17:11:16 +08:00
JustSong
f598b9df87 feat: add new SparkDesk models 2024-02-18 17:02:36 +08:00
41 changed files with 557 additions and 223 deletions

View File

@@ -23,7 +23,7 @@ jobs:
- uses: actions/setup-node@v3
with:
node-version: 16
- name: Build Frontend (theme default)
- name: Build Frontend
env:
CI: ""
run: |
@@ -38,7 +38,7 @@ jobs:
- name: Build Backend (amd64)
run: |
go mod download
go build -ldflags "-s -w -X 'one-api/common.Version=$(git describe --tags)' -extldflags '-static'" -o one-api
go build -ldflags "-s -w -X 'github.com/songquanpeng/one-api/common.Version=$(git describe --tags)' -extldflags '-static'" -o one-api
- name: Build Backend (arm64)
run: |

View File

@@ -23,7 +23,7 @@ jobs:
- uses: actions/setup-node@v3
with:
node-version: 16
- name: Build Frontend (theme default)
- name: Build Frontend
env:
CI: ""
run: |
@@ -38,7 +38,7 @@ jobs:
- name: Build Backend
run: |
go mod download
go build -ldflags "-X 'one-api/common.Version=$(git describe --tags)'" -o one-api-macos
go build -ldflags "-X 'github.com/songquanpeng/one-api/common.Version=$(git describe --tags)'" -o one-api-macos
- name: Release
uses: softprops/action-gh-release@v1
if: startsWith(github.ref, 'refs/tags/')

View File

@@ -26,7 +26,7 @@ jobs:
- uses: actions/setup-node@v3
with:
node-version: 16
- name: Build Frontend (theme default)
- name: Build Frontend
env:
CI: ""
run: |
@@ -41,7 +41,7 @@ jobs:
- name: Build Backend
run: |
go mod download
go build -ldflags "-s -w -X 'one-api/common.Version=$(git describe --tags)'" -o one-api.exe
go build -ldflags "-s -w -X 'github.com/songquanpeng/one-api/common.Version=$(git describe --tags)'" -o one-api.exe
- name: Release
uses: softprops/action-gh-release@v1
if: startsWith(github.ref, 'refs/tags/')

View File

@@ -23,7 +23,7 @@ ADD go.mod go.sum ./
RUN go mod download
COPY . .
COPY --from=builder /web/build ./web/build
RUN go build -ldflags "-s -w -X 'one-api/common.Version=$(cat VERSION)' -extldflags '-static'" -o one-api
RUN go build -ldflags "-s -w -X 'github.com/songquanpeng/one-api/common.Version=$(cat VERSION)' -extldflags '-static'" -o one-api
FROM alpine

View File

@@ -74,8 +74,9 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
+ [x] [360 智脑](https://ai.360.cn)
+ [x] [腾讯混元大模型](https://cloud.tencent.com/document/product/1729)
+ [x] [Moonshot AI](https://platform.moonshot.cn/)
+ [x] [百川大模型](https://platform.baichuan-ai.com)
+ [ ] [字节云雀大模型](https://www.volcengine.com/product/ark) (WIP)
+ [ ] [MINIMAX](https://api.minimax.chat/) (WIP)
+ [x] [MINIMAX](https://api.minimax.chat/)
2. 支持配置镜像以及众多[第三方代理服务](https://iamazing.cn/page/openai-api-third-party-services)。
3. 支持通过**负载均衡**的方式访问多个渠道。
4. 支持 **stream 模式**,可以通过流式传输实现打字机效果。

View File

@@ -64,6 +64,8 @@ const (
ChannelTypeTencent = 23
ChannelTypeGemini = 24
ChannelTypeMoonshot = 25
ChannelTypeBaichuan = 26
ChannelTypeMinimax = 27
)
var ChannelBaseURLs = []string{
@@ -93,6 +95,8 @@ var ChannelBaseURLs = []string{
"https://hunyuan.cloud.tencent.com", // 23
"https://generativelanguage.googleapis.com", // 24
"https://api.moonshot.cn", // 25
"https://api.baichuan-ai.com", // 26
"https://api.minimax.chat", // 27
}
const (

View File

@@ -8,12 +8,24 @@ import (
"strings"
)
func UnmarshalBodyReusable(c *gin.Context, v any) error {
const KeyRequestBody = "key_request_body"
func GetRequestBody(c *gin.Context) ([]byte, error) {
requestBody, _ := c.Get(KeyRequestBody)
if requestBody != nil {
return requestBody.([]byte), nil
}
requestBody, err := io.ReadAll(c.Request.Body)
if err != nil {
return err
return nil, err
}
err = c.Request.Body.Close()
_ = c.Request.Body.Close()
c.Set(KeyRequestBody, requestBody)
return requestBody.([]byte), nil
}
func UnmarshalBodyReusable(c *gin.Context, v any) error {
requestBody, err := GetRequestBody(c)
if err != nil {
return err
}

View File

@@ -137,6 +137,7 @@ func GetUUID() string {
}
const keyChars = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
const keyNumbers = "0123456789"
func init() {
rand.Seed(time.Now().UnixNano())
@@ -168,6 +169,15 @@ func GetRandomString(length int) string {
return string(key)
}
func GetRandomNumberString(length int) string {
rand.Seed(time.Now().UnixNano())
key := make([]byte, length)
for i := 0; i < length; i++ {
key[i] = keyNumbers[rand.Intn(len(keyNumbers))]
}
return string(key)
}
func GetTimestamp() int64 {
return time.Now().Unix()
}

View File

@@ -13,6 +13,7 @@ import (
)
const (
loggerDEBUG = "DEBUG"
loggerINFO = "INFO"
loggerWarn = "WARN"
loggerError = "ERR"
@@ -55,6 +56,10 @@ func SysError(s string) {
_, _ = fmt.Fprintf(gin.DefaultErrorWriter, "[SYS] %v | %s \n", t.Format("2006/01/02 - 15:04:05"), s)
}
func Debug(ctx context.Context, msg string) {
logHelper(ctx, loggerDEBUG, msg)
}
func Info(ctx context.Context, msg string) {
logHelper(ctx, loggerINFO, msg)
}
@@ -67,6 +72,10 @@ func Error(ctx context.Context, msg string) {
logHelper(ctx, loggerError, msg)
}
func Debugf(ctx context.Context, format string, a ...any) {
Debug(ctx, fmt.Sprintf(format, a...))
}
func Infof(ctx context.Context, format string, a ...any) {
Info(ctx, fmt.Sprintf(format, a...))
}

View File

@@ -7,29 +7,6 @@ import (
"time"
)
var DalleSizeRatios = map[string]map[string]float64{
"dall-e-2": {
"256x256": 1,
"512x512": 1.125,
"1024x1024": 1.25,
},
"dall-e-3": {
"1024x1024": 1,
"1024x1792": 2,
"1792x1024": 2,
},
}
var DalleGenerationImageAmounts = map[string][2]int{
"dall-e-2": {1, 10},
"dall-e-3": {1, 1}, // OpenAI allows n=1 currently.
}
var DalleImagePromptLengthLimitations = map[string]int{
"dall-e-2": 1000,
"dall-e-3": 4000,
}
const (
USD2RMB = 7
USD = 500 // $0.002 = 1 -> $1 = 500
@@ -94,14 +71,18 @@ var ModelRatio = map[string]float64{
"claude-2.0": 5.51, // $11.02 / 1M tokens
"claude-2.1": 5.51, // $11.02 / 1M tokens
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/hlrk4akp7
"ERNIE-Bot": 0.8572, // ¥0.012 / 1k tokens
"ERNIE-Bot-turbo": 0.5715, // ¥0.008 / 1k tokens
"ERNIE-Bot-4": 0.12 * RMB, // ¥0.12 / 1k tokens
"ERNIE-Bot-8k": 0.024 * RMB,
"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
"ERNIE-Bot": 0.8572, // ¥0.012 / 1k tokens
"ERNIE-Bot-turbo": 0.5715, // ¥0.008 / 1k tokens
"ERNIE-Bot-4": 0.12 * RMB, // ¥0.12 / 1k tokens
"ERNIE-Bot-8k": 0.024 * RMB,
"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
// https://open.bigmodel.cn/pricing
"glm-4": 0.1 * RMB,
"glm-4v": 0.1 * RMB,
"glm-3-turbo": 0.005 * RMB,
"chatglm_turbo": 0.3572, // ¥0.005 / 1k tokens
"chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
"chatglm_std": 0.3572, // ¥0.005 / 1k tokens
@@ -112,6 +93,10 @@ var ModelRatio = map[string]float64{
"qwen-max-longcontext": 1.4286, // ¥0.02 / 1k tokens
"text-embedding-v1": 0.05, // ¥0.0007 / 1k tokens
"SparkDesk": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v1.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
@@ -123,6 +108,23 @@ var ModelRatio = map[string]float64{
"moonshot-v1-8k": 0.012 * RMB,
"moonshot-v1-32k": 0.024 * RMB,
"moonshot-v1-128k": 0.06 * RMB,
// https://platform.baichuan-ai.com/price
"Baichuan2-Turbo": 0.008 * RMB,
"Baichuan2-Turbo-192k": 0.016 * RMB,
"Baichuan2-53B": 0.02 * RMB,
// https://api.minimax.chat/document/price
"abab6-chat": 0.1 * RMB,
"abab5.5-chat": 0.015 * RMB,
"abab5.5s-chat": 0.005 * RMB,
}
var DefaultModelRatio map[string]float64
func init() {
DefaultModelRatio = make(map[string]float64)
for k, v := range ModelRatio {
DefaultModelRatio[k] = v
}
}
func ModelRatio2JSONString() string {
@@ -143,6 +145,9 @@ func GetModelRatio(name string) float64 {
name = strings.TrimSuffix(name, "-internet")
}
ratio, ok := ModelRatio[name]
if !ok {
ratio, ok = DefaultModelRatio[name]
}
if !ok {
logger.SysError("model ratio not found: " + name)
return 30

View File

@@ -4,6 +4,8 @@ import (
"fmt"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/relay/channel/ai360"
"github.com/songquanpeng/one-api/relay/channel/baichuan"
"github.com/songquanpeng/one-api/relay/channel/minimax"
"github.com/songquanpeng/one-api/relay/channel/moonshot"
"github.com/songquanpeng/one-api/relay/constant"
"github.com/songquanpeng/one-api/relay/helper"
@@ -58,6 +60,9 @@ func init() {
})
// https://platform.openai.com/docs/models/model-endpoint-compatibility
for i := 0; i < constant.APITypeDummy; i++ {
if i == constant.APITypeAIProxyLibrary {
continue
}
adaptor := helper.GetAdaptor(i)
channelName := adaptor.GetChannelName()
modelNames := adaptor.GetModelList()
@@ -95,6 +100,28 @@ func init() {
Parent: nil,
})
}
for _, modelName := range baichuan.ModelList {
openAIModels = append(openAIModels, OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: "baichuan",
Permission: permission,
Root: modelName,
Parent: nil,
})
}
for _, modelName := range minimax.ModelList {
openAIModels = append(openAIModels, OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: "minimax",
Permission: permission,
Root: modelName,
Parent: nil,
})
}
openAIModelsMap = make(map[string]OpenAIModels)
for _, model := range openAIModels {
openAIModelsMap[model.Id] = model

View File

@@ -1,23 +1,27 @@
package controller
import (
"bytes"
"context"
"fmt"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/config"
"github.com/songquanpeng/one-api/common/helper"
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/middleware"
dbmodel "github.com/songquanpeng/one-api/model"
"github.com/songquanpeng/one-api/relay/constant"
"github.com/songquanpeng/one-api/relay/controller"
"github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/util"
"io"
"net/http"
"strconv"
)
// https://platform.openai.com/docs/api-reference/chat
func Relay(c *gin.Context) {
relayMode := constant.Path2RelayMode(c.Request.URL.Path)
func relay(c *gin.Context, relayMode int) *model.ErrorWithStatusCode {
var err *model.ErrorWithStatusCode
switch relayMode {
case constant.RelayModeImagesGenerations:
@@ -31,32 +35,89 @@ func Relay(c *gin.Context) {
default:
err = controller.RelayTextHelper(c)
}
if err != nil {
requestId := c.GetString(logger.RequestIdKey)
retryTimesStr := c.Query("retry")
retryTimes, _ := strconv.Atoi(retryTimesStr)
if retryTimesStr == "" {
retryTimes = config.RetryTimes
return err
}
func Relay(c *gin.Context) {
ctx := c.Request.Context()
relayMode := constant.Path2RelayMode(c.Request.URL.Path)
if config.DebugEnabled {
requestBody, _ := common.GetRequestBody(c)
logger.Debugf(ctx, "request body: %s", string(requestBody))
}
bizErr := relay(c, relayMode)
if bizErr == nil {
return
}
channelId := c.GetInt("channel_id")
lastFailedChannelId := channelId
channelName := c.GetString("channel_name")
group := c.GetString("group")
originalModel := c.GetString("original_model")
go processChannelRelayError(ctx, channelId, channelName, bizErr)
requestId := c.GetString(logger.RequestIdKey)
retryTimes := config.RetryTimes
if !shouldRetry(c, bizErr.StatusCode) {
logger.Errorf(ctx, "relay error happen, status code is %d, won't retry in this case", bizErr.StatusCode)
retryTimes = 0
}
for i := retryTimes; i > 0; i-- {
channel, err := dbmodel.CacheGetRandomSatisfiedChannel(group, originalModel)
if err != nil {
logger.Errorf(ctx, "CacheGetRandomSatisfiedChannel failed: %w", err)
break
}
if retryTimes > 0 {
c.Redirect(http.StatusTemporaryRedirect, fmt.Sprintf("%s?retry=%d", c.Request.URL.Path, retryTimes-1))
} else {
if err.StatusCode == http.StatusTooManyRequests {
err.Error.Message = "当前分组上游负载已饱和,请稍后再试"
}
err.Error.Message = helper.MessageWithRequestId(err.Error.Message, requestId)
c.JSON(err.StatusCode, gin.H{
"error": err.Error,
})
logger.Infof(ctx, "using channel #%d to retry (remain times %d)", channel.Id, i)
if channel.Id == lastFailedChannelId {
continue
}
middleware.SetupContextForSelectedChannel(c, channel, originalModel)
requestBody, err := common.GetRequestBody(c)
c.Request.Body = io.NopCloser(bytes.NewBuffer(requestBody))
bizErr = relay(c, relayMode)
if bizErr == nil {
return
}
channelId := c.GetInt("channel_id")
logger.Error(c.Request.Context(), fmt.Sprintf("relay error (channel #%d): %s", channelId, err.Message))
// https://platform.openai.com/docs/guides/error-codes/api-errors
if util.ShouldDisableChannel(&err.Error, err.StatusCode) {
channelId := c.GetInt("channel_id")
channelName := c.GetString("channel_name")
disableChannel(channelId, channelName, err.Message)
lastFailedChannelId = channelId
channelName := c.GetString("channel_name")
go processChannelRelayError(ctx, channelId, channelName, bizErr)
}
if bizErr != nil {
if bizErr.StatusCode == http.StatusTooManyRequests {
bizErr.Error.Message = "当前分组上游负载已饱和,请稍后再试"
}
bizErr.Error.Message = helper.MessageWithRequestId(bizErr.Error.Message, requestId)
c.JSON(bizErr.StatusCode, gin.H{
"error": bizErr.Error,
})
}
}
func shouldRetry(c *gin.Context, statusCode int) bool {
if _, ok := c.Get("specific_channel_id"); ok {
return false
}
if statusCode == http.StatusTooManyRequests {
return true
}
if statusCode/100 == 5 {
return true
}
if statusCode == http.StatusBadRequest {
return false
}
if statusCode/100 == 2 {
return false
}
return true
}
func processChannelRelayError(ctx context.Context, channelId int, channelName string, err *model.ErrorWithStatusCode) {
logger.Errorf(ctx, "relay error (channel #%d): %s", channelId, err.Message)
// https://platform.openai.com/docs/guides/error-codes/api-errors
if util.ShouldDisableChannel(&err.Error, err.StatusCode) {
disableChannel(channelId, channelName, err.Message)
}
}

View File

@@ -456,6 +456,7 @@
"已绑定的邮箱账户": "Email Account Bound",
"用户信息更新成功!": "User information updated successfully!",
"模型倍率 %.2f,分组倍率 %.2f": "model rate %.2f, group rate %.2f",
"模型倍率 %.2f,分组倍率 %.2f,补全倍率 %.2f": "model rate %.2f, group rate %.2f, completion rate %.2f",
"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",

View File

@@ -108,7 +108,7 @@ func TokenAuth() func(c *gin.Context) {
c.Set("token_name", token.Name)
if len(parts) > 1 {
if model.IsAdmin(token.UserId) {
c.Set("channelId", parts[1])
c.Set("specific_channel_id", parts[1])
} else {
abortWithMessage(c, http.StatusForbidden, "普通用户不支持指定渠道")
return

View File

@@ -21,8 +21,9 @@ func Distribute() func(c *gin.Context) {
userId := c.GetInt("id")
userGroup, _ := model.CacheGetUserGroup(userId)
c.Set("group", userGroup)
var requestModel string
var channel *model.Channel
channelId, ok := c.Get("channelId")
channelId, ok := c.Get("specific_channel_id")
if ok {
id, err := strconv.Atoi(channelId.(string))
if err != nil {
@@ -66,6 +67,7 @@ func Distribute() func(c *gin.Context) {
modelRequest.Model = "whisper-1"
}
}
requestModel = modelRequest.Model
channel, err = model.CacheGetRandomSatisfiedChannel(userGroup, modelRequest.Model)
if err != nil {
message := fmt.Sprintf("当前分组 %s 下对于模型 %s 无可用渠道", userGroup, modelRequest.Model)
@@ -77,29 +79,34 @@ func Distribute() func(c *gin.Context) {
return
}
}
c.Set("channel", channel.Type)
c.Set("channel_id", channel.Id)
c.Set("channel_name", channel.Name)
c.Set("model_mapping", channel.GetModelMapping())
c.Request.Header.Set("Authorization", fmt.Sprintf("Bearer %s", channel.Key))
c.Set("base_url", channel.GetBaseURL())
// this is for backward compatibility
switch channel.Type {
case common.ChannelTypeAzure:
c.Set(common.ConfigKeyAPIVersion, channel.Other)
case common.ChannelTypeXunfei:
c.Set(common.ConfigKeyAPIVersion, channel.Other)
case common.ChannelTypeGemini:
c.Set(common.ConfigKeyAPIVersion, channel.Other)
case common.ChannelTypeAIProxyLibrary:
c.Set(common.ConfigKeyLibraryID, channel.Other)
case common.ChannelTypeAli:
c.Set(common.ConfigKeyPlugin, channel.Other)
}
cfg, _ := channel.LoadConfig()
for k, v := range cfg {
c.Set(common.ConfigKeyPrefix+k, v)
}
SetupContextForSelectedChannel(c, channel, requestModel)
c.Next()
}
}
func SetupContextForSelectedChannel(c *gin.Context, channel *model.Channel, modelName string) {
c.Set("channel", channel.Type)
c.Set("channel_id", channel.Id)
c.Set("channel_name", channel.Name)
c.Set("model_mapping", channel.GetModelMapping())
c.Set("original_model", modelName) // for retry
c.Request.Header.Set("Authorization", fmt.Sprintf("Bearer %s", channel.Key))
c.Set("base_url", channel.GetBaseURL())
// this is for backward compatibility
switch channel.Type {
case common.ChannelTypeAzure:
c.Set(common.ConfigKeyAPIVersion, channel.Other)
case common.ChannelTypeXunfei:
c.Set(common.ConfigKeyAPIVersion, channel.Other)
case common.ChannelTypeGemini:
c.Set(common.ConfigKeyAPIVersion, channel.Other)
case common.ChannelTypeAIProxyLibrary:
c.Set(common.ConfigKeyLibraryID, channel.Other)
case common.ChannelTypeAli:
c.Set(common.ConfigKeyPlugin, channel.Other)
}
cfg, _ := channel.LoadConfig()
for k, v := range cfg {
c.Set(common.ConfigKeyPrefix+k, v)
}
}

View File

@@ -9,7 +9,7 @@ import (
func RequestId() func(c *gin.Context) {
return func(c *gin.Context) {
id := helper.GetTimeString() + helper.GetRandomString(8)
id := helper.GetTimeString() + helper.GetRandomNumberString(8)
c.Set(logger.RequestIdKey, id)
ctx := context.WithValue(c.Request.Context(), logger.RequestIdKey, id)
c.Request = c.Request.WithContext(ctx)

View File

@@ -94,7 +94,7 @@ func CacheUpdateUserQuota(id int) error {
if !common.RedisEnabled {
return nil
}
quota, err := GetUserQuota(id)
quota, err := CacheGetUserQuota(id)
if err != nil {
return err
}

View File

@@ -53,7 +53,7 @@ func responseAIProxyLibrary2OpenAI(response *LibraryResponse) *openai.TextRespon
FinishReason: "stop",
}
fullTextResponse := openai.TextResponse{
Id: helper.GetUUID(),
Id: fmt.Sprintf("chatcmpl-%s", helper.GetUUID()),
Object: "chat.completion",
Created: helper.GetTimestamp(),
Choices: []openai.TextResponseChoice{choice},
@@ -66,7 +66,7 @@ func documentsAIProxyLibrary(documents []LibraryDocument) *openai.ChatCompletion
choice.Delta.Content = aiProxyDocuments2Markdown(documents)
choice.FinishReason = &constant.StopFinishReason
return &openai.ChatCompletionsStreamResponse{
Id: helper.GetUUID(),
Id: fmt.Sprintf("chatcmpl-%s", helper.GetUUID()),
Object: "chat.completion.chunk",
Created: helper.GetTimestamp(),
Model: "",
@@ -78,7 +78,7 @@ func streamResponseAIProxyLibrary2OpenAI(response *LibraryStreamResponse) *opena
var choice openai.ChatCompletionsStreamResponseChoice
choice.Delta.Content = response.Content
return &openai.ChatCompletionsStreamResponse{
Id: helper.GetUUID(),
Id: fmt.Sprintf("chatcmpl-%s", helper.GetUUID()),
Object: "chat.completion.chunk",
Created: helper.GetTimestamp(),
Model: response.Model,

View File

@@ -0,0 +1,7 @@
package baichuan
var ModelList = []string{
"Baichuan2-Turbo",
"Baichuan2-Turbo-192k",
"Baichuan-Text-Embedding",
}

View File

@@ -0,0 +1,7 @@
package minimax
var ModelList = []string{
"abab5.5s-chat",
"abab5.5-chat",
"abab6-chat",
}

View File

@@ -0,0 +1,14 @@
package minimax
import (
"fmt"
"github.com/songquanpeng/one-api/relay/constant"
"github.com/songquanpeng/one-api/relay/util"
)
func GetRequestURL(meta *util.RelayMeta) (string, error) {
if meta.Mode == constant.RelayModeChatCompletions {
return fmt.Sprintf("%s/v1/text/chatcompletion_v2", meta.BaseURL), nil
}
return "", fmt.Errorf("unsupported relay mode %d for minimax", meta.Mode)
}

View File

@@ -7,6 +7,8 @@ import (
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/relay/channel"
"github.com/songquanpeng/one-api/relay/channel/ai360"
"github.com/songquanpeng/one-api/relay/channel/baichuan"
"github.com/songquanpeng/one-api/relay/channel/minimax"
"github.com/songquanpeng/one-api/relay/channel/moonshot"
"github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/util"
@@ -24,7 +26,8 @@ func (a *Adaptor) Init(meta *util.RelayMeta) {
}
func (a *Adaptor) GetRequestURL(meta *util.RelayMeta) (string, error) {
if meta.ChannelType == common.ChannelTypeAzure {
switch meta.ChannelType {
case common.ChannelTypeAzure:
// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api
requestURL := strings.Split(meta.RequestURLPath, "?")[0]
requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, meta.APIVersion)
@@ -38,8 +41,11 @@ func (a *Adaptor) GetRequestURL(meta *util.RelayMeta) (string, error) {
requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
return util.GetFullRequestURL(meta.BaseURL, requestURL, meta.ChannelType), nil
case common.ChannelTypeMinimax:
return minimax.GetRequestURL(meta)
default:
return util.GetFullRequestURL(meta.BaseURL, meta.RequestURLPath, meta.ChannelType), nil
}
return util.GetFullRequestURL(meta.BaseURL, meta.RequestURLPath, meta.ChannelType), nil
}
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *util.RelayMeta) error {
@@ -70,7 +76,7 @@ func (a *Adaptor) DoRequest(c *gin.Context, meta *util.RelayMeta, requestBody io
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *util.RelayMeta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
var responseText string
err, responseText = StreamHandler(c, resp, meta.Mode)
err, responseText, _ = StreamHandler(c, resp, meta.Mode)
usage = ResponseText2Usage(responseText, meta.ActualModelName, meta.PromptTokens)
} else {
err, usage = Handler(c, resp, meta.PromptTokens, meta.ActualModelName)
@@ -84,6 +90,10 @@ func (a *Adaptor) GetModelList() []string {
return ai360.ModelList
case common.ChannelTypeMoonshot:
return moonshot.ModelList
case common.ChannelTypeBaichuan:
return baichuan.ModelList
case common.ChannelTypeMinimax:
return minimax.ModelList
default:
return ModelList
}
@@ -97,6 +107,10 @@ func (a *Adaptor) GetChannelName() string {
return "360"
case common.ChannelTypeMoonshot:
return "moonshot"
case common.ChannelTypeBaichuan:
return "baichuan"
case common.ChannelTypeMinimax:
return "minimax"
default:
return "openai"
}

View File

@@ -14,7 +14,7 @@ import (
"strings"
)
func StreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*model.ErrorWithStatusCode, string) {
func StreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*model.ErrorWithStatusCode, string, *model.Usage) {
responseText := ""
scanner := bufio.NewScanner(resp.Body)
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
@@ -31,6 +31,7 @@ func StreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*model.E
})
dataChan := make(chan string)
stopChan := make(chan bool)
var usage *model.Usage
go func() {
for scanner.Scan() {
data := scanner.Text()
@@ -54,6 +55,9 @@ func StreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*model.E
for _, choice := range streamResponse.Choices {
responseText += choice.Delta.Content
}
if streamResponse.Usage != nil {
usage = streamResponse.Usage
}
case constant.RelayModeCompletions:
var streamResponse CompletionsStreamResponse
err := json.Unmarshal([]byte(data), &streamResponse)
@@ -86,9 +90,9 @@ func StreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*model.E
})
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), "", nil
}
return nil, responseText
return nil, responseText, usage
}
func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName string) (*model.ErrorWithStatusCode, *model.Usage) {

View File

@@ -118,8 +118,10 @@ type ImageResponse struct {
}
type ChatCompletionsStreamResponseChoice struct {
Index int `json:"index"`
Delta struct {
Content string `json:"content"`
Role string `json:"role,omitempty"`
} `json:"delta"`
FinishReason *string `json:"finish_reason,omitempty"`
}
@@ -130,6 +132,7 @@ type ChatCompletionsStreamResponse struct {
Created int64 `json:"created"`
Model string `json:"model"`
Choices []ChatCompletionsStreamResponseChoice `json:"choices"`
Usage *model.Usage `json:"usage"`
}
type CompletionsStreamResponse struct {

View File

@@ -81,6 +81,7 @@ func responseTencent2OpenAI(response *ChatResponse) *openai.TextResponse {
func streamResponseTencent2OpenAI(TencentResponse *ChatResponse) *openai.ChatCompletionsStreamResponse {
response := openai.ChatCompletionsStreamResponse{
Id: fmt.Sprintf("chatcmpl-%s", helper.GetUUID()),
Object: "chat.completion.chunk",
Created: helper.GetTimestamp(),
Model: "tencent-hunyuan",

View File

@@ -2,4 +2,8 @@ package xunfei
var ModelList = []string{
"SparkDesk",
"SparkDesk-v1.1",
"SparkDesk-v2.1",
"SparkDesk-v3.1",
"SparkDesk-v3.5",
}

View File

@@ -70,6 +70,7 @@ func responseXunfei2OpenAI(response *ChatResponse) *openai.TextResponse {
FinishReason: constant.StopFinishReason,
}
fullTextResponse := openai.TextResponse{
Id: fmt.Sprintf("chatcmpl-%s", helper.GetUUID()),
Object: "chat.completion",
Created: helper.GetTimestamp(),
Choices: []openai.TextResponseChoice{choice},
@@ -92,6 +93,7 @@ func streamResponseXunfei2OpenAI(xunfeiResponse *ChatResponse) *openai.ChatCompl
choice.FinishReason = &constant.StopFinishReason
}
response := openai.ChatCompletionsStreamResponse{
Id: fmt.Sprintf("chatcmpl-%s", helper.GetUUID()),
Object: "chat.completion.chunk",
Created: helper.GetTimestamp(),
Model: "SparkDesk",
@@ -127,7 +129,7 @@ func buildXunfeiAuthUrl(hostUrl string, apiKey, apiSecret string) string {
}
func StreamHandler(c *gin.Context, textRequest model.GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*model.ErrorWithStatusCode, *model.Usage) {
domain, authUrl := getXunfeiAuthUrl(c, apiKey, apiSecret)
domain, authUrl := getXunfeiAuthUrl(c, apiKey, apiSecret, textRequest.Model)
dataChan, stopChan, err := xunfeiMakeRequest(textRequest, domain, authUrl, appId)
if err != nil {
return openai.ErrorWrapper(err, "make xunfei request err", http.StatusInternalServerError), nil
@@ -157,7 +159,7 @@ func StreamHandler(c *gin.Context, textRequest model.GeneralOpenAIRequest, appId
}
func Handler(c *gin.Context, textRequest model.GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*model.ErrorWithStatusCode, *model.Usage) {
domain, authUrl := getXunfeiAuthUrl(c, apiKey, apiSecret)
domain, authUrl := getXunfeiAuthUrl(c, apiKey, apiSecret, textRequest.Model)
dataChan, stopChan, err := xunfeiMakeRequest(textRequest, domain, authUrl, appId)
if err != nil {
return openai.ErrorWrapper(err, "make xunfei request err", http.StatusInternalServerError), nil
@@ -242,20 +244,45 @@ func xunfeiMakeRequest(textRequest model.GeneralOpenAIRequest, domain, authUrl,
return dataChan, stopChan, nil
}
func getXunfeiAuthUrl(c *gin.Context, apiKey string, apiSecret string) (string, string) {
func getAPIVersion(c *gin.Context, modelName string) string {
query := c.Request.URL.Query()
apiVersion := query.Get("api-version")
if apiVersion == "" {
apiVersion = c.GetString(common.ConfigKeyAPIVersion)
if apiVersion != "" {
return apiVersion
}
if apiVersion == "" {
apiVersion = "v1.1"
logger.SysLog("api_version not found, use default: " + apiVersion)
parts := strings.Split(modelName, "-")
if len(parts) == 2 {
apiVersion = parts[1]
return apiVersion
}
domain := "general"
if apiVersion != "v1.1" {
domain += strings.Split(apiVersion, ".")[0]
apiVersion = c.GetString(common.ConfigKeyAPIVersion)
if apiVersion != "" {
return apiVersion
}
apiVersion = "v1.1"
logger.SysLog("api_version not found, using default: " + apiVersion)
return apiVersion
}
// https://www.xfyun.cn/doc/spark/Web.html#_1-%E6%8E%A5%E5%8F%A3%E8%AF%B4%E6%98%8E
func apiVersion2domain(apiVersion string) string {
switch apiVersion {
case "v1.1":
return "general"
case "v2.1":
return "generalv2"
case "v3.1":
return "generalv3"
case "v3.5":
return "generalv3.5"
}
return "general" + apiVersion
}
func getXunfeiAuthUrl(c *gin.Context, apiKey string, apiSecret string, modelName string) (string, string) {
apiVersion := getAPIVersion(c, modelName)
domain := apiVersion2domain(apiVersion)
authUrl := buildXunfeiAuthUrl(fmt.Sprintf("wss://spark-api.xf-yun.com/%s/chat", apiVersion), apiKey, apiSecret)
return domain, authUrl
}

View File

@@ -5,20 +5,35 @@ import (
"fmt"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/relay/channel"
"github.com/songquanpeng/one-api/relay/channel/openai"
"github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/util"
"io"
"net/http"
"strings"
)
type Adaptor struct {
APIVersion string
}
func (a *Adaptor) Init(meta *util.RelayMeta) {
}
func (a *Adaptor) SetVersionByModeName(modelName string) {
if strings.HasPrefix(modelName, "glm-") {
a.APIVersion = "v4"
} else {
a.APIVersion = "v3"
}
}
func (a *Adaptor) GetRequestURL(meta *util.RelayMeta) (string, error) {
a.SetVersionByModeName(meta.ActualModelName)
if a.APIVersion == "v4" {
return fmt.Sprintf("%s/api/paas/v4/chat/completions", meta.BaseURL), nil
}
method := "invoke"
if meta.IsStream {
method = "sse-invoke"
@@ -37,6 +52,13 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
if request == nil {
return nil, errors.New("request is nil")
}
if request.TopP >= 1 {
request.TopP = 0.99
}
a.SetVersionByModeName(request.Model)
if a.APIVersion == "v4" {
return request, nil
}
return ConvertRequest(*request), nil
}
@@ -44,7 +66,19 @@ func (a *Adaptor) DoRequest(c *gin.Context, meta *util.RelayMeta, requestBody io
return channel.DoRequestHelper(a, c, meta, requestBody)
}
func (a *Adaptor) DoResponseV4(c *gin.Context, resp *http.Response, meta *util.RelayMeta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
err, _, usage = openai.StreamHandler(c, resp, meta.Mode)
} else {
err, usage = openai.Handler(c, resp, meta.PromptTokens, meta.ActualModelName)
}
return
}
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *util.RelayMeta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if a.APIVersion == "v4" {
return a.DoResponseV4(c, resp, meta)
}
if meta.IsStream {
err, usage = StreamHandler(c, resp)
} else {

View File

@@ -2,4 +2,5 @@ package zhipu
var ModelList = []string{
"chatglm_turbo", "chatglm_pro", "chatglm_std", "chatglm_lite",
"glm-4", "glm-4v", "glm-3-turbo",
}

24
relay/constant/image.go Normal file
View File

@@ -0,0 +1,24 @@
package constant
var DalleSizeRatios = map[string]map[string]float64{
"dall-e-2": {
"256x256": 1,
"512x512": 1.125,
"1024x1024": 1.25,
},
"dall-e-3": {
"1024x1024": 1,
"1024x1792": 2,
"1792x1024": 2,
},
}
var DalleGenerationImageAmounts = map[string][2]int{
"dall-e-2": {1, 10},
"dall-e-3": {1, 1}, // OpenAI allows n=1 currently.
}
var DalleImagePromptLengthLimitations = map[string]int{
"dall-e-2": 1000,
"dall-e-3": 4000,
}

View File

@@ -36,6 +36,65 @@ func getAndValidateTextRequest(c *gin.Context, relayMode int) (*relaymodel.Gener
return textRequest, nil
}
func getImageRequest(c *gin.Context, relayMode int) (*openai.ImageRequest, error) {
imageRequest := &openai.ImageRequest{}
err := common.UnmarshalBodyReusable(c, imageRequest)
if err != nil {
return nil, err
}
if imageRequest.N == 0 {
imageRequest.N = 1
}
if imageRequest.Size == "" {
imageRequest.Size = "1024x1024"
}
if imageRequest.Model == "" {
imageRequest.Model = "dall-e-2"
}
return imageRequest, nil
}
func validateImageRequest(imageRequest *openai.ImageRequest, meta *util.RelayMeta) *relaymodel.ErrorWithStatusCode {
// model validation
_, hasValidSize := constant.DalleSizeRatios[imageRequest.Model][imageRequest.Size]
if !hasValidSize {
return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
}
// check prompt length
if imageRequest.Prompt == "" {
return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
}
if len(imageRequest.Prompt) > constant.DalleImagePromptLengthLimitations[imageRequest.Model] {
return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
}
// Number of generated images validation
if !isWithinRange(imageRequest.Model, imageRequest.N) {
// channel not azure
if meta.ChannelType != common.ChannelTypeAzure {
return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
}
}
return nil
}
func getImageCostRatio(imageRequest *openai.ImageRequest) (float64, error) {
if imageRequest == nil {
return 0, errors.New("imageRequest is nil")
}
imageCostRatio, hasValidSize := constant.DalleSizeRatios[imageRequest.Model][imageRequest.Size]
if !hasValidSize {
return 0, fmt.Errorf("size not supported for this image model: %s", imageRequest.Size)
}
if imageRequest.Quality == "hd" && imageRequest.Model == "dall-e-3" {
if imageRequest.Size == "1024x1024" {
imageCostRatio *= 2
} else {
imageCostRatio *= 1.5
}
}
return imageCostRatio, nil
}
func getPromptTokens(textRequest *relaymodel.GeneralOpenAIRequest, relayMode int) int {
switch relayMode {
case constant.RelayModeChatCompletions:

View File

@@ -10,6 +10,7 @@ import (
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/model"
"github.com/songquanpeng/one-api/relay/channel/openai"
"github.com/songquanpeng/one-api/relay/constant"
relaymodel "github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/util"
"io"
@@ -20,120 +21,65 @@ import (
)
func isWithinRange(element string, value int) bool {
if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
if _, ok := constant.DalleGenerationImageAmounts[element]; !ok {
return false
}
min := common.DalleGenerationImageAmounts[element][0]
max := common.DalleGenerationImageAmounts[element][1]
min := constant.DalleGenerationImageAmounts[element][0]
max := constant.DalleGenerationImageAmounts[element][1]
return value >= min && value <= max
}
func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatusCode {
imageModel := "dall-e-2"
imageSize := "1024x1024"
tokenId := c.GetInt("token_id")
channelType := c.GetInt("channel")
channelId := c.GetInt("channel_id")
userId := c.GetInt("id")
group := c.GetString("group")
var imageRequest openai.ImageRequest
err := common.UnmarshalBodyReusable(c, &imageRequest)
ctx := c.Request.Context()
meta := util.GetRelayMeta(c)
imageRequest, err := getImageRequest(c, meta.Mode)
if err != nil {
return openai.ErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
}
if imageRequest.N == 0 {
imageRequest.N = 1
}
// Size validation
if imageRequest.Size != "" {
imageSize = imageRequest.Size
}
// Model validation
if imageRequest.Model != "" {
imageModel = imageRequest.Model
}
imageCostRatio, hasValidSize := common.DalleSizeRatios[imageModel][imageSize]
// Check if model is supported
if hasValidSize {
if imageRequest.Quality == "hd" && imageModel == "dall-e-3" {
if imageSize == "1024x1024" {
imageCostRatio *= 2
} else {
imageCostRatio *= 1.5
}
}
} else {
return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
}
// Prompt validation
if imageRequest.Prompt == "" {
return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
}
// Check prompt length
if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
}
// Number of generated images validation
if !isWithinRange(imageModel, imageRequest.N) {
// channel not azure
if channelType != common.ChannelTypeAzure {
return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
}
logger.Errorf(ctx, "getImageRequest failed: %s", err.Error())
return openai.ErrorWrapper(err, "invalid_image_request", http.StatusBadRequest)
}
// map model name
modelMapping := c.GetString("model_mapping")
isModelMapped := false
if modelMapping != "" {
modelMap := make(map[string]string)
err := json.Unmarshal([]byte(modelMapping), &modelMap)
if err != nil {
return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
}
if modelMap[imageModel] != "" {
imageModel = modelMap[imageModel]
isModelMapped = true
}
var isModelMapped bool
meta.OriginModelName = imageRequest.Model
imageRequest.Model, isModelMapped = util.GetMappedModelName(imageRequest.Model, meta.ModelMapping)
meta.ActualModelName = imageRequest.Model
// model validation
bizErr := validateImageRequest(imageRequest, meta)
if bizErr != nil {
return bizErr
}
baseURL := common.ChannelBaseURLs[channelType]
imageCostRatio, err := getImageCostRatio(imageRequest)
if err != nil {
return openai.ErrorWrapper(err, "get_image_cost_ratio_failed", http.StatusInternalServerError)
}
requestURL := c.Request.URL.String()
if c.GetString("base_url") != "" {
baseURL = c.GetString("base_url")
}
fullRequestURL := util.GetFullRequestURL(baseURL, requestURL, channelType)
if channelType == common.ChannelTypeAzure {
fullRequestURL := util.GetFullRequestURL(meta.BaseURL, requestURL, meta.ChannelType)
if meta.ChannelType == common.ChannelTypeAzure {
// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
apiVersion := util.GetAzureAPIVersion(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)
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", meta.BaseURL, imageRequest.Model, apiVersion)
}
var requestBody io.Reader
if isModelMapped || channelType == common.ChannelTypeAzure { // make Azure channel request body
if isModelMapped || meta.ChannelType == common.ChannelTypeAzure { // make Azure channel request body
jsonStr, err := json.Marshal(imageRequest)
if err != nil {
return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
return openai.ErrorWrapper(err, "marshal_image_request_failed", http.StatusInternalServerError)
}
requestBody = bytes.NewBuffer(jsonStr)
} else {
requestBody = c.Request.Body
}
modelRatio := common.GetModelRatio(imageModel)
groupRatio := common.GetGroupRatio(group)
modelRatio := common.GetModelRatio(imageRequest.Model)
groupRatio := common.GetGroupRatio(meta.Group)
ratio := modelRatio * groupRatio
userQuota, err := model.CacheGetUserQuota(userId)
userQuota, err := model.CacheGetUserQuota(meta.UserId)
quota := int(ratio*imageCostRatio*1000) * imageRequest.N
@@ -146,7 +92,7 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
}
token := c.Request.Header.Get("Authorization")
if channelType == common.ChannelTypeAzure { // Azure authentication
if meta.ChannelType == common.ChannelTypeAzure { // Azure authentication
token = strings.TrimPrefix(token, "Bearer ")
req.Header.Set("api-key", token)
} else {
@@ -169,25 +115,25 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
if err != nil {
return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
}
var textResponse openai.ImageResponse
var imageResponse openai.ImageResponse
defer func(ctx context.Context) {
if resp.StatusCode != http.StatusOK {
return
}
err := model.PostConsumeTokenQuota(tokenId, quota)
err := model.PostConsumeTokenQuota(meta.TokenId, quota)
if err != nil {
logger.SysError("error consuming token remain quota: " + err.Error())
}
err = model.CacheUpdateUserQuota(userId)
err = model.CacheUpdateUserQuota(meta.UserId)
if err != nil {
logger.SysError("error update user quota cache: " + err.Error())
}
if quota != 0 {
tokenName := c.GetString("token_name")
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent)
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
model.RecordConsumeLog(ctx, meta.UserId, meta.ChannelId, 0, 0, imageRequest.Model, tokenName, quota, logContent)
model.UpdateUserUsedQuotaAndRequestCount(meta.UserId, quota)
channelId := c.GetInt("channel_id")
model.UpdateChannelUsedQuota(channelId, quota)
}
@@ -202,7 +148,7 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
if err != nil {
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
err = json.Unmarshal(responseBody, &textResponse)
err = json.Unmarshal(responseBody, &imageResponse)
if err != nil {
return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
}

View File

@@ -39,6 +39,7 @@ func RelayTextHelper(c *gin.Context) *model.ErrorWithStatusCode {
ratio := modelRatio * groupRatio
// pre-consume quota
promptTokens := getPromptTokens(textRequest, meta.Mode)
meta.PromptTokens = promptTokens
preConsumedQuota, bizErr := preConsumeQuota(ctx, textRequest, promptTokens, ratio, meta)
if bizErr != nil {
logger.Warnf(ctx, "preConsumeQuota failed: %+v", *bizErr)
@@ -54,7 +55,8 @@ func RelayTextHelper(c *gin.Context) *model.ErrorWithStatusCode {
var requestBody io.Reader
if meta.APIType == constant.APITypeOpenAI {
// no need to convert request for openai
if isModelMapped {
shouldResetRequestBody := isModelMapped || meta.ChannelType == common.ChannelTypeBaichuan // frequency_penalty 0 is not acceptable for baichuan
if shouldResetRequestBody {
jsonStr, err := json.Marshal(textRequest)
if err != nil {
return openai.ErrorWrapper(err, "json_marshal_failed", http.StatusInternalServerError)

View File

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

View File

@@ -71,6 +71,18 @@ export const CHANNEL_OPTIONS = {
value: 23,
color: 'default'
},
26: {
key: 26,
text: '百川大模型',
value: 26,
color: 'default'
},
27: {
key: 27,
text: 'MiniMax',
value: 27,
color: 'default'
},
8: {
key: 8,
text: '自定义渠道',

View File

@@ -227,9 +227,9 @@ export default function ChannelPage() {
<Button onClick={testAllChannels} startIcon={<IconBrandSpeedtest width={'18px'} />}>
测试启用渠道
</Button>
<Button onClick={updateAllChannelsBalance} startIcon={<IconCoinYuan width={'18px'} />}>
更新启用余额
</Button>
{/*<Button onClick={updateAllChannelsBalance} startIcon={<IconCoinYuan width={'18px'} />}>*/}
{/* 更新启用余额*/}
{/*</Button>*/}
<Button onClick={deleteAllDisabledChannels} startIcon={<IconHttpDelete width={'18px'} />}>
删除禁用渠道
</Button>

View File

@@ -67,7 +67,7 @@ const typeConfig = {
},
16: {
input: {
models: ["chatglm_turbo", "chatglm_pro", "chatglm_std", "chatglm_lite"],
models: ["glm-4", "glm-4v", "glm-3-turbo", "chatglm_turbo", "chatglm_pro", "chatglm_std", "chatglm_lite"],
},
modelGroup: "zhipu",
},
@@ -94,7 +94,13 @@ const typeConfig = {
other: "版本号",
},
input: {
models: ["SparkDesk"],
models: [
"SparkDesk",
'SparkDesk-v1.1',
'SparkDesk-v2.1',
'SparkDesk-v3.1',
'SparkDesk-v3.5'
],
},
prompt: {
key: "按照如下格式输入APPID|APISecret|APIKey",
@@ -139,6 +145,24 @@ const typeConfig = {
},
modelGroup: "google gemini",
},
25: {
input: {
models: ['moonshot-v1-8k', 'moonshot-v1-32k', 'moonshot-v1-128k'],
},
modelGroup: "moonshot",
},
26: {
input: {
models: ['Baichuan2-Turbo', 'Baichuan2-Turbo-192k', 'Baichuan-Text-Embedding'],
},
modelGroup: "baichuan",
},
27: {
input: {
models: ['abab5.5s-chat', 'abab5.5-chat', 'abab6-chat'],
},
modelGroup: "minimax",
},
};
export { defaultConfig, typeConfig };

View File

@@ -1,13 +1,13 @@
#!/bin/sh
version=$(cat VERSION)
themes=$(cat THEMES)
IFS=$'\n'
pwd
for theme in $themes; do
while IFS= read -r theme; do
echo "Building theme: $theme"
cd $theme
rm -r build/$theme
cd "$theme"
npm install
DISABLE_ESLINT_PLUGIN='true' REACT_APP_VERSION=$version npm run build
cd ..
done
done < THEMES

View File

@@ -522,8 +522,8 @@ const ChannelsTable = () => {
<Button size='small' loading={loading} onClick={testAllChannels}>
测试所有渠道
</Button>
<Button size='small' onClick={updateAllChannelsBalance}
loading={loading || updatingBalance}>更新已启用渠道余额</Button>
{/*<Button size='small' onClick={updateAllChannelsBalance}*/}
{/* loading={loading || updatingBalance}>更新已启用渠道余额</Button>*/}
<Popup
trigger={
<Button size='small' loading={loading}>

View File

@@ -11,6 +11,8 @@ export const CHANNEL_OPTIONS = [
{ key: 19, text: '360 智脑', value: 19, color: 'blue' },
{ key: 25, text: 'Moonshot AI', value: 25, color: 'black' },
{ key: 23, text: '腾讯混元', value: 23, color: 'teal' },
{ key: 26, text: '百川大模型', value: 26, color: 'orange' },
{ key: 27, text: 'MiniMax', value: 27, color: 'red' },
{ key: 8, text: '自定义渠道', value: 8, color: 'pink' },
{ key: 22, text: '知识库FastGPT', value: 22, color: 'blue' },
{ key: 21, text: '知识库AI Proxy', value: 21, color: 'purple' },

View File

@@ -79,10 +79,16 @@ const EditChannel = () => {
localModels = [...localModels, ...withInternetVersion];
break;
case 16:
localModels = ['chatglm_turbo', 'chatglm_pro', 'chatglm_std', 'chatglm_lite'];
localModels = ["glm-4", "glm-4v", "glm-3-turbo",'chatglm_turbo', 'chatglm_pro', 'chatglm_std', 'chatglm_lite'];
break;
case 18:
localModels = ['SparkDesk'];
localModels = [
'SparkDesk',
'SparkDesk-v1.1',
'SparkDesk-v2.1',
'SparkDesk-v3.1',
'SparkDesk-v3.5'
];
break;
case 19:
localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1'];
@@ -96,6 +102,12 @@ const EditChannel = () => {
case 25:
localModels = ['moonshot-v1-8k', 'moonshot-v1-32k', 'moonshot-v1-128k'];
break;
case 26:
localModels = ['Baichuan2-Turbo', 'Baichuan2-Turbo-192k', 'Baichuan-Text-Embedding'];
break;
case 27:
localModels = ['abab5.5s-chat', 'abab5.5-chat', 'abab6-chat'];
break;
}
setInputs((inputs) => ({ ...inputs, models: localModels }));
}