Compare commits

..

26 Commits

Author SHA1 Message Date
JustSong
71c61365eb feat: able to only test disabled channels (#1090) 2024-03-10 18:34:57 +08:00
JustSong
b09f979b80 fix: add missing turnstile setup (close #1015) 2024-03-10 18:15:24 +08:00
JustSong
12440874b0 feat: able to disable channel by success rate 2024-03-10 17:57:47 +08:00
JustSong
6ebc99460e fix: add user to blacklist when it's banned or deleted, and make deletion soft (close #473, close #791) 2024-03-10 15:56:19 +08:00
JustSong
27ad8bfb98 feat: able to search channel type now 2024-03-10 15:00:33 +08:00
JustSong
8388aa537f chore: able to search channel now 2024-03-10 14:59:57 +08:00
JustSong
2346bf70af fix: check response type when expect stream response 2024-03-10 14:59:40 +08:00
JustSong
f05b403ca5 feat: use real system prompt now (close #1079) 2024-03-10 14:32:30 +08:00
JustSong
b33616df44 feat: support groq now (close #1087) 2024-03-10 14:09:44 +08:00
JustSong
cf16f44970 feat: load channel models from server 2024-03-09 02:28:23 +08:00
JustSong
bf2e26a48f feat: support claude-3 (close #1080, close #1094) 2024-03-09 01:12:47 +08:00
momomobinx
4fb22ad4ce feat: support third part models of baidu (#1046)
百度千帆平台上的第三方大模型调用
2024-03-03 23:50:28 +08:00
JustSong
95cfb8e8c9 fix: using the first available model if default model is not found (close #1021) 2024-03-03 22:58:41 +08:00
JustSong
c6ace985c2 fix: set missing ali parameters (close #1028) 2024-03-03 22:51:01 +08:00
JustSong
10a926b8f3 feat: only use the top priority when first retry (#1048) 2024-03-03 22:16:34 +08:00
JustSong
2df877a352 feat: switch priority when retry (close #1048) 2024-03-03 22:14:07 +08:00
JustSong
9d8967f7d3 feat: support Mistral's models now (close #1051) 2024-03-03 21:46:45 +08:00
JustSong
b35f3523d3 feat: add gemini model alias (close #1064) 2024-03-03 21:03:04 +08:00
JustSong
82e916b5ff fix: fix azure test (close #1069) 2024-03-03 20:51:28 +08:00
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
59 changed files with 1064 additions and 465 deletions

View File

@@ -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

@@ -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

@@ -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

@@ -67,6 +67,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
+ [x] [OpenAI ChatGPT 系列模型](https://platform.openai.com/docs/guides/gpt/chat-completions-api)(支持 [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference)
+ [x] [Anthropic Claude 系列模型](https://anthropic.com)
+ [x] [Google PaLM2/Gemini 系列模型](https://developers.generativeai.google)
+ [x] [Mistral 系列模型](https://mistral.ai/)
+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+ [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
@@ -74,8 +75,10 @@ _✨ 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/)
+ [x] [Groq](https://wow.groq.com/)
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。
@@ -372,6 +375,9 @@ graph LR
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)。
19. `ENABLE_METRIC`:是否根据请求成功率禁用渠道,默认不开启,可选值为 `true` 和 `false`。
20. `METRIC_QUEUE_SIZE`:请求成功率统计队列大小,默认为 `10`。
21. `METRIC_SUCCESS_RATE_THRESHOLD`:请求成功率阈值,默认为 `0.8`。
### 命令行参数
1. `--port <port_number>`: 指定服务器监听的端口号,默认为 `3000`。

29
common/blacklist/main.go Normal file
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@@ -0,0 +1,29 @@
package blacklist
import (
"fmt"
"sync"
)
var blackList sync.Map
func init() {
blackList = sync.Map{}
}
func userId2Key(id int) string {
return fmt.Sprintf("userid_%d", id)
}
func BanUser(id int) {
blackList.Store(userId2Key(id), true)
}
func UnbanUser(id int) {
blackList.Delete(userId2Key(id))
}
func IsUserBanned(id int) bool {
_, ok := blackList.Load(userId2Key(id))
return ok
}

View File

@@ -52,6 +52,7 @@ var EmailDomainWhitelist = []string{
}
var DebugEnabled = os.Getenv("DEBUG") == "true"
var DebugSQLEnabled = os.Getenv("DEBUG_SQL") == "true"
var MemoryCacheEnabled = os.Getenv("MEMORY_CACHE_ENABLED") == "true"
var LogConsumeEnabled = true
@@ -125,3 +126,9 @@ var (
)
var RateLimitKeyExpirationDuration = 20 * time.Minute
var EnableMetric = helper.GetOrDefaultEnvBool("ENABLE_METRIC", false)
var MetricQueueSize = helper.GetOrDefaultEnvInt("METRIC_QUEUE_SIZE", 10)
var MetricSuccessRateThreshold = helper.GetOrDefaultEnvFloat64("METRIC_SUCCESS_RATE_THRESHOLD", 0.8)
var MetricSuccessChanSize = helper.GetOrDefaultEnvInt("METRIC_SUCCESS_CHAN_SIZE", 1024)
var MetricFailChanSize = helper.GetOrDefaultEnvInt("METRIC_FAIL_CHAN_SIZE", 128)

View File

@@ -15,6 +15,7 @@ const (
const (
UserStatusEnabled = 1 // don't use 0, 0 is the default value!
UserStatusDisabled = 2 // also don't use 0
UserStatusDeleted = 3
)
const (
@@ -38,32 +39,38 @@ const (
)
const (
ChannelTypeUnknown = 0
ChannelTypeOpenAI = 1
ChannelTypeAPI2D = 2
ChannelTypeAzure = 3
ChannelTypeCloseAI = 4
ChannelTypeOpenAISB = 5
ChannelTypeOpenAIMax = 6
ChannelTypeOhMyGPT = 7
ChannelTypeCustom = 8
ChannelTypeAILS = 9
ChannelTypeAIProxy = 10
ChannelTypePaLM = 11
ChannelTypeAPI2GPT = 12
ChannelTypeAIGC2D = 13
ChannelTypeAnthropic = 14
ChannelTypeBaidu = 15
ChannelTypeZhipu = 16
ChannelTypeAli = 17
ChannelTypeXunfei = 18
ChannelType360 = 19
ChannelTypeOpenRouter = 20
ChannelTypeAIProxyLibrary = 21
ChannelTypeFastGPT = 22
ChannelTypeTencent = 23
ChannelTypeGemini = 24
ChannelTypeMoonshot = 25
ChannelTypeUnknown = iota
ChannelTypeOpenAI
ChannelTypeAPI2D
ChannelTypeAzure
ChannelTypeCloseAI
ChannelTypeOpenAISB
ChannelTypeOpenAIMax
ChannelTypeOhMyGPT
ChannelTypeCustom
ChannelTypeAILS
ChannelTypeAIProxy
ChannelTypePaLM
ChannelTypeAPI2GPT
ChannelTypeAIGC2D
ChannelTypeAnthropic
ChannelTypeBaidu
ChannelTypeZhipu
ChannelTypeAli
ChannelTypeXunfei
ChannelType360
ChannelTypeOpenRouter
ChannelTypeAIProxyLibrary
ChannelTypeFastGPT
ChannelTypeTencent
ChannelTypeGemini
ChannelTypeMoonshot
ChannelTypeBaichuan
ChannelTypeMinimax
ChannelTypeMistral
ChannelTypeGroq
ChannelTypeDummy
)
var ChannelBaseURLs = []string{
@@ -93,6 +100,10 @@ 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
"https://api.mistral.ai", // 28
"https://api.groq.com/openai", // 29
}
const (

View File

@@ -195,6 +195,13 @@ func Max(a int, b int) int {
}
}
func GetOrDefaultEnvBool(env string, defaultValue bool) bool {
if env == "" || os.Getenv(env) == "" {
return defaultValue
}
return os.Getenv(env) == "true"
}
func GetOrDefaultEnvInt(env string, defaultValue int) int {
if env == "" || os.Getenv(env) == "" {
return defaultValue
@@ -207,6 +214,18 @@ func GetOrDefaultEnvInt(env string, defaultValue int) int {
return num
}
func GetOrDefaultEnvFloat64(env string, defaultValue float64) float64 {
if env == "" || os.Getenv(env) == "" {
return defaultValue
}
num, err := strconv.ParseFloat(os.Getenv(env), 64)
if err != nil {
logger.SysError(fmt.Sprintf("failed to parse %s: %s, using default value: %f", env, err.Error(), defaultValue))
return defaultValue
}
return num
}
func GetOrDefaultEnvString(env string, defaultValue string) string {
if env == "" || os.Getenv(env) == "" {
return defaultValue

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
@@ -40,7 +17,6 @@ const (
// https://platform.openai.com/docs/models/model-endpoint-compatibility
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
// https://openai.com/pricing
// TODO: when a new api is enabled, check the pricing here
// 1 === $0.002 / 1K tokens
// 1 === ¥0.014 / 1k tokens
var ModelRatio = map[string]float64{
@@ -89,10 +65,13 @@ var ModelRatio = map[string]float64{
"text-moderation-latest": 0.1,
"dall-e-2": 8, // $0.016 - $0.020 / image
"dall-e-3": 20, // $0.040 - $0.120 / image
"claude-instant-1": 0.815, // $1.63 / 1M tokens
"claude-2": 5.51, // $11.02 / 1M tokens
"claude-2.0": 5.51, // $11.02 / 1M tokens
"claude-2.1": 5.51, // $11.02 / 1M tokens
// https://www.anthropic.com/api#pricing
"claude-instant-1.2": 0.8 / 1000 * USD,
"claude-2.0": 8.0 / 1000 * USD,
"claude-2.1": 8.0 / 1000 * USD,
"claude-3-haiku-20240229": 0.25 / 1000 * USD,
"claude-3-sonnet-20240229": 3.0 / 1000 * USD,
"claude-3-opus-20240229": 15.0 / 1000 * USD,
// 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
@@ -102,6 +81,10 @@ var ModelRatio = map[string]float64{
"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
@@ -127,6 +110,42 @@ 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,
// https://docs.mistral.ai/platform/pricing/
"open-mistral-7b": 0.25 / 1000 * USD,
"open-mixtral-8x7b": 0.7 / 1000 * USD,
"mistral-small-latest": 2.0 / 1000 * USD,
"mistral-medium-latest": 2.7 / 1000 * USD,
"mistral-large-latest": 8.0 / 1000 * USD,
"mistral-embed": 0.1 / 1000 * USD,
// https://wow.groq.com/
"llama2-70b-4096": 0.7 / 1000 * USD,
"llama2-7b-2048": 0.1 / 1000 * USD,
"mixtral-8x7b-32768": 0.27 / 1000 * USD,
"gemma-7b-it": 0.1 / 1000 * USD,
}
var CompletionRatio = map[string]float64{}
var DefaultModelRatio map[string]float64
var DefaultCompletionRatio map[string]float64
func init() {
DefaultModelRatio = make(map[string]float64)
for k, v := range ModelRatio {
DefaultModelRatio[k] = v
}
DefaultCompletionRatio = make(map[string]float64)
for k, v := range CompletionRatio {
DefaultCompletionRatio[k] = v
}
}
func ModelRatio2JSONString() string {
@@ -147,6 +166,9 @@ 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
@@ -154,8 +176,6 @@ func GetModelRatio(name string) float64 {
return ratio
}
var CompletionRatio = map[string]float64{}
func CompletionRatio2JSONString() string {
jsonBytes, err := json.Marshal(CompletionRatio)
if err != nil {
@@ -173,6 +193,9 @@ func GetCompletionRatio(name string) float64 {
if ratio, ok := CompletionRatio[name]; ok {
return ratio
}
if ratio, ok := DefaultCompletionRatio[name]; ok {
return ratio
}
if strings.HasPrefix(name, "gpt-3.5") {
if strings.HasSuffix(name, "0125") {
// https://openai.com/blog/new-embedding-models-and-api-updates
@@ -191,7 +214,7 @@ func GetCompletionRatio(name string) float64 {
return 2
}
}
return 1.333333
return 4.0 / 3.0
}
if strings.HasPrefix(name, "gpt-4") {
if strings.HasSuffix(name, "preview") {
@@ -199,11 +222,18 @@ func GetCompletionRatio(name string) float64 {
}
return 2
}
if strings.HasPrefix(name, "claude-instant-1") {
return 3.38
if strings.HasPrefix(name, "claude-3") {
return 5
}
if strings.HasPrefix(name, "claude-2") {
return 2.965517
if strings.HasPrefix(name, "claude-") {
return 3
}
if strings.HasPrefix(name, "mistral-") {
return 3
}
switch name {
case "llama2-70b-4096":
return 0.8 / 0.7
}
return 1
}

8
common/random.go Normal file
View File

@@ -0,0 +1,8 @@
package common
import "math/rand"
// RandRange returns a random number between min and max (max is not included)
func RandRange(min, max int) int {
return min + rand.Intn(max-min)
}

View File

@@ -8,6 +8,7 @@ import (
"github.com/songquanpeng/one-api/common/config"
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/model"
"github.com/songquanpeng/one-api/monitor"
"github.com/songquanpeng/one-api/relay/util"
"io"
"net/http"
@@ -295,7 +296,7 @@ func UpdateChannelBalance(c *gin.Context) {
}
func updateAllChannelsBalance() error {
channels, err := model.GetAllChannels(0, 0, true)
channels, err := model.GetAllChannels(0, 0, "all")
if err != nil {
return err
}
@@ -313,7 +314,7 @@ func updateAllChannelsBalance() error {
} else {
// err is nil & balance <= 0 means quota is used up
if balance <= 0 {
disableChannel(channel.Id, channel.Name, "余额不足")
monitor.DisableChannel(channel.Id, channel.Name, "余额不足")
}
}
time.Sleep(config.RequestInterval)

View File

@@ -8,7 +8,9 @@ import (
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/config"
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/middleware"
"github.com/songquanpeng/one-api/model"
"github.com/songquanpeng/one-api/monitor"
"github.com/songquanpeng/one-api/relay/constant"
"github.com/songquanpeng/one-api/relay/helper"
relaymodel "github.com/songquanpeng/one-api/relay/model"
@@ -18,6 +20,7 @@ import (
"net/http/httptest"
"net/url"
"strconv"
"strings"
"sync"
"time"
@@ -51,6 +54,7 @@ func testChannel(channel *model.Channel) (err error, openaiErr *relaymodel.Error
c.Request.Header.Set("Content-Type", "application/json")
c.Set("channel", channel.Type)
c.Set("base_url", channel.GetBaseURL())
middleware.SetupContextForSelectedChannel(c, channel, "")
meta := util.GetRelayMeta(c)
apiType := constant.ChannelType2APIType(channel.Type)
adaptor := helper.GetAdaptor(apiType)
@@ -59,6 +63,12 @@ func testChannel(channel *model.Channel) (err error, openaiErr *relaymodel.Error
}
adaptor.Init(meta)
modelName := adaptor.GetModelList()[0]
if !strings.Contains(channel.Models, modelName) {
modelNames := strings.Split(channel.Models, ",")
if len(modelNames) > 0 {
modelName = modelNames[0]
}
}
request := buildTestRequest()
request.Model = modelName
meta.OriginModelName, meta.ActualModelName = modelName, modelName
@@ -139,33 +149,7 @@ func TestChannel(c *gin.Context) {
var testAllChannelsLock sync.Mutex
var testAllChannelsRunning bool = false
func notifyRootUser(subject string, content string) {
if config.RootUserEmail == "" {
config.RootUserEmail = model.GetRootUserEmail()
}
err := common.SendEmail(subject, config.RootUserEmail, content)
if err != nil {
logger.SysError(fmt.Sprintf("failed to send email: %s", err.Error()))
}
}
// disable & notify
func disableChannel(channelId int, channelName string, reason string) {
model.UpdateChannelStatusById(channelId, common.ChannelStatusAutoDisabled)
subject := fmt.Sprintf("通道「%s」#%d已被禁用", channelName, channelId)
content := fmt.Sprintf("通道「%s」#%d已被禁用原因%s", channelName, channelId, reason)
notifyRootUser(subject, content)
}
// enable & notify
func enableChannel(channelId int, channelName string) {
model.UpdateChannelStatusById(channelId, common.ChannelStatusEnabled)
subject := fmt.Sprintf("通道「%s」#%d已被启用", channelName, channelId)
content := fmt.Sprintf("通道「%s」#%d已被启用", channelName, channelId)
notifyRootUser(subject, content)
}
func testAllChannels(notify bool) error {
func testChannels(notify bool, scope string) error {
if config.RootUserEmail == "" {
config.RootUserEmail = model.GetRootUserEmail()
}
@@ -176,7 +160,7 @@ func testAllChannels(notify bool) error {
}
testAllChannelsRunning = true
testAllChannelsLock.Unlock()
channels, err := model.GetAllChannels(0, 0, true)
channels, err := model.GetAllChannels(0, 0, scope)
if err != nil {
return err
}
@@ -193,13 +177,13 @@ func testAllChannels(notify bool) error {
milliseconds := tok.Sub(tik).Milliseconds()
if isChannelEnabled && milliseconds > disableThreshold {
err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0))
disableChannel(channel.Id, channel.Name, err.Error())
monitor.DisableChannel(channel.Id, channel.Name, err.Error())
}
if isChannelEnabled && util.ShouldDisableChannel(openaiErr, -1) {
disableChannel(channel.Id, channel.Name, err.Error())
monitor.DisableChannel(channel.Id, channel.Name, err.Error())
}
if !isChannelEnabled && util.ShouldEnableChannel(err, openaiErr) {
enableChannel(channel.Id, channel.Name)
monitor.EnableChannel(channel.Id, channel.Name)
}
channel.UpdateResponseTime(milliseconds)
time.Sleep(config.RequestInterval)
@@ -217,8 +201,12 @@ func testAllChannels(notify bool) error {
return nil
}
func TestAllChannels(c *gin.Context) {
err := testAllChannels(true)
func TestChannels(c *gin.Context) {
scope := c.Query("scope")
if scope == "" {
scope = "all"
}
err := testChannels(true, scope)
if err != nil {
c.JSON(http.StatusOK, gin.H{
"success": false,
@@ -237,7 +225,7 @@ func AutomaticallyTestChannels(frequency int) {
for {
time.Sleep(time.Duration(frequency) * time.Minute)
logger.SysLog("testing all channels")
_ = testAllChannels(false)
_ = testChannels(false, "all")
logger.SysLog("channel test finished")
}
}

View File

@@ -15,7 +15,7 @@ func GetAllChannels(c *gin.Context) {
if p < 0 {
p = 0
}
channels, err := model.GetAllChannels(p*config.ItemsPerPage, config.ItemsPerPage, false)
channels, err := model.GetAllChannels(p*config.ItemsPerPage, config.ItemsPerPage, "limited")
if err != nil {
c.JSON(http.StatusOK, gin.H{
"success": false,

View File

@@ -3,11 +3,13 @@ package controller
import (
"fmt"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/relay/channel/ai360"
"github.com/songquanpeng/one-api/relay/channel/moonshot"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/relay/channel/openai"
"github.com/songquanpeng/one-api/relay/constant"
"github.com/songquanpeng/one-api/relay/helper"
relaymodel "github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/util"
"net/http"
)
// https://platform.openai.com/docs/api-reference/models/list
@@ -39,6 +41,7 @@ type OpenAIModels struct {
var openAIModels []OpenAIModels
var openAIModelsMap map[string]OpenAIModels
var channelId2Models map[int][]string
func init() {
var permission []OpenAIModelPermission
@@ -76,32 +79,44 @@ func init() {
})
}
}
for _, modelName := range ai360.ModelList {
for _, channelType := range openai.CompatibleChannels {
if channelType == common.ChannelTypeAzure {
continue
}
channelName, channelModelList := openai.GetCompatibleChannelMeta(channelType)
for _, modelName := range channelModelList {
openAIModels = append(openAIModels, OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: "360",
OwnedBy: channelName,
Permission: permission,
Root: modelName,
Parent: nil,
})
}
for _, modelName := range moonshot.ModelList {
openAIModels = append(openAIModels, OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: "moonshot",
Permission: permission,
Root: modelName,
Parent: nil,
})
}
openAIModelsMap = make(map[string]OpenAIModels)
for _, model := range openAIModels {
openAIModelsMap[model.Id] = model
}
channelId2Models = make(map[int][]string)
for i := 1; i < common.ChannelTypeDummy; i++ {
adaptor := helper.GetAdaptor(constant.ChannelType2APIType(i))
meta := &util.RelayMeta{
ChannelType: i,
}
adaptor.Init(meta)
channelId2Models[i] = adaptor.GetModelList()
}
}
func DashboardListModels(c *gin.Context) {
c.JSON(http.StatusOK, gin.H{
"success": true,
"message": "",
"data": channelId2Models,
})
}
func ListModels(c *gin.Context) {

View File

@@ -11,6 +11,7 @@ import (
"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/monitor"
"github.com/songquanpeng/one-api/relay/constant"
"github.com/songquanpeng/one-api/relay/controller"
"github.com/songquanpeng/one-api/relay/model"
@@ -41,11 +42,16 @@ func relay(c *gin.Context, relayMode int) *model.ErrorWithStatusCode {
func Relay(c *gin.Context) {
ctx := c.Request.Context()
relayMode := constant.Path2RelayMode(c.Request.URL.Path)
bizErr := relay(c, relayMode)
if bizErr == nil {
return
if config.DebugEnabled {
requestBody, _ := common.GetRequestBody(c)
logger.Debugf(ctx, "request body: %s", string(requestBody))
}
channelId := c.GetInt("channel_id")
bizErr := relay(c, relayMode)
if bizErr == nil {
monitor.Emit(channelId, true)
return
}
lastFailedChannelId := channelId
channelName := c.GetString("channel_name")
group := c.GetString("group")
@@ -58,7 +64,7 @@ func Relay(c *gin.Context) {
retryTimes = 0
}
for i := retryTimes; i > 0; i-- {
channel, err := dbmodel.CacheGetRandomSatisfiedChannel(group, originalModel)
channel, err := dbmodel.CacheGetRandomSatisfiedChannel(group, originalModel, i != retryTimes)
if err != nil {
logger.Errorf(ctx, "CacheGetRandomSatisfiedChannel failed: %w", err)
break
@@ -113,7 +119,9 @@ func processChannelRelayError(ctx context.Context, channelId int, channelName st
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)
monitor.DisableChannel(channelId, channelName, err.Message)
} else {
monitor.Emit(channelId, false)
}
}

View File

@@ -83,6 +83,9 @@ func main() {
logger.SysLog("batch update enabled with interval " + strconv.Itoa(config.BatchUpdateInterval) + "s")
model.InitBatchUpdater()
}
if config.EnableMetric {
logger.SysLog("metric enabled, will disable channel if too much request failed")
}
openai.InitTokenEncoders()
// Initialize HTTP server

View File

@@ -4,6 +4,7 @@ import (
"github.com/gin-contrib/sessions"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/blacklist"
"github.com/songquanpeng/one-api/model"
"net/http"
"strings"
@@ -42,11 +43,14 @@ func authHelper(c *gin.Context, minRole int) {
return
}
}
if status.(int) == common.UserStatusDisabled {
if status.(int) == common.UserStatusDisabled || blacklist.IsUserBanned(id.(int)) {
c.JSON(http.StatusOK, gin.H{
"success": false,
"message": "用户已被封禁",
})
session := sessions.Default(c)
session.Clear()
_ = session.Save()
c.Abort()
return
}
@@ -99,7 +103,7 @@ func TokenAuth() func(c *gin.Context) {
abortWithMessage(c, http.StatusInternalServerError, err.Error())
return
}
if !userEnabled {
if !userEnabled || blacklist.IsUserBanned(token.UserId) {
abortWithMessage(c, http.StatusForbidden, "用户已被封禁")
return
}

View File

@@ -68,7 +68,7 @@ func Distribute() func(c *gin.Context) {
}
}
requestModel = modelRequest.Model
channel, err = model.CacheGetRandomSatisfiedChannel(userGroup, modelRequest.Model)
channel, err = model.CacheGetRandomSatisfiedChannel(userGroup, modelRequest.Model, false)
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)
if channel != nil {

View File

@@ -191,7 +191,7 @@ func SyncChannelCache(frequency int) {
}
}
func CacheGetRandomSatisfiedChannel(group string, model string) (*Channel, error) {
func CacheGetRandomSatisfiedChannel(group string, model string, ignoreFirstPriority bool) (*Channel, error) {
if !config.MemoryCacheEnabled {
return GetRandomSatisfiedChannel(group, model)
}
@@ -213,5 +213,10 @@ func CacheGetRandomSatisfiedChannel(group string, model string) (*Channel, error
}
}
idx := rand.Intn(endIdx)
if ignoreFirstPriority {
if endIdx < len(channels) { // which means there are more than one priority
idx = common.RandRange(endIdx, len(channels))
}
}
return channels[idx], nil
}

View File

@@ -32,12 +32,15 @@ type Channel struct {
Config string `json:"config"`
}
func GetAllChannels(startIdx int, num int, selectAll bool) ([]*Channel, error) {
func GetAllChannels(startIdx int, num int, scope string) ([]*Channel, error) {
var channels []*Channel
var err error
if selectAll {
switch scope {
case "all":
err = DB.Order("id desc").Find(&channels).Error
} else {
case "disabled":
err = DB.Order("id desc").Where("status = ? or status = ?", common.ChannelStatusAutoDisabled, common.ChannelStatusManuallyDisabled).Find(&channels).Error
default:
err = DB.Order("id desc").Limit(num).Offset(startIdx).Omit("key").Find(&channels).Error
}
return channels, err

View File

@@ -72,7 +72,7 @@ func chooseDB() (*gorm.DB, error) {
func InitDB() (err error) {
db, err := chooseDB()
if err == nil {
if config.DebugEnabled {
if config.DebugSQLEnabled {
db = db.Debug()
}
DB = db

View File

@@ -4,6 +4,7 @@ import (
"errors"
"fmt"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/blacklist"
"github.com/songquanpeng/one-api/common/config"
"github.com/songquanpeng/one-api/common/helper"
"github.com/songquanpeng/one-api/common/logger"
@@ -40,7 +41,7 @@ func GetMaxUserId() int {
}
func GetAllUsers(startIdx int, num int) (users []*User, err error) {
err = DB.Order("id desc").Limit(num).Offset(startIdx).Omit("password").Find(&users).Error
err = DB.Order("id desc").Limit(num).Offset(startIdx).Omit("password").Where("status != ?", common.UserStatusDeleted).Find(&users).Error
return users, err
}
@@ -123,6 +124,11 @@ func (user *User) Update(updatePassword bool) error {
return err
}
}
if user.Status == common.UserStatusDisabled {
blacklist.BanUser(user.Id)
} else if user.Status == common.UserStatusEnabled {
blacklist.UnbanUser(user.Id)
}
err = DB.Model(user).Updates(user).Error
return err
}
@@ -131,7 +137,10 @@ func (user *User) Delete() error {
if user.Id == 0 {
return errors.New("id 为空!")
}
err := DB.Delete(user).Error
blacklist.BanUser(user.Id)
user.Username = fmt.Sprintf("deleted_%s", helper.GetUUID())
user.Status = common.UserStatusDeleted
err := DB.Model(user).Updates(user).Error
return err
}

46
monitor/channel.go Normal file
View File

@@ -0,0 +1,46 @@
package monitor
import (
"fmt"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/config"
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/model"
)
func notifyRootUser(subject string, content string) {
if config.RootUserEmail == "" {
config.RootUserEmail = model.GetRootUserEmail()
}
err := common.SendEmail(subject, config.RootUserEmail, content)
if err != nil {
logger.SysError(fmt.Sprintf("failed to send email: %s", err.Error()))
}
}
// DisableChannel disable & notify
func DisableChannel(channelId int, channelName string, reason string) {
model.UpdateChannelStatusById(channelId, common.ChannelStatusAutoDisabled)
logger.SysLog(fmt.Sprintf("channel #%d has been disabled: %s", channelId, reason))
subject := fmt.Sprintf("通道「%s」#%d已被禁用", channelName, channelId)
content := fmt.Sprintf("通道「%s」#%d已被禁用原因%s", channelName, channelId, reason)
notifyRootUser(subject, content)
}
func MetricDisableChannel(channelId int, successRate float64) {
model.UpdateChannelStatusById(channelId, common.ChannelStatusAutoDisabled)
logger.SysLog(fmt.Sprintf("channel #%d has been disabled due to low success rate: %.2f", channelId, successRate*100))
subject := fmt.Sprintf("通道 #%d 已被禁用", channelId)
content := fmt.Sprintf("该渠道在最近 %d 次调用中成功率为 %.2f%%,低于阈值 %.2f%%,因此被系统自动禁用。",
config.MetricQueueSize, successRate*100, config.MetricSuccessRateThreshold*100)
notifyRootUser(subject, content)
}
// EnableChannel enable & notify
func EnableChannel(channelId int, channelName string) {
model.UpdateChannelStatusById(channelId, common.ChannelStatusEnabled)
logger.SysLog(fmt.Sprintf("channel #%d has been enabled", channelId))
subject := fmt.Sprintf("通道「%s」#%d已被启用", channelName, channelId)
content := fmt.Sprintf("通道「%s」#%d已被启用", channelName, channelId)
notifyRootUser(subject, content)
}

79
monitor/metric.go Normal file
View File

@@ -0,0 +1,79 @@
package monitor
import (
"github.com/songquanpeng/one-api/common/config"
)
var store = make(map[int][]bool)
var metricSuccessChan = make(chan int, config.MetricSuccessChanSize)
var metricFailChan = make(chan int, config.MetricFailChanSize)
func consumeSuccess(channelId int) {
if len(store[channelId]) > config.MetricQueueSize {
store[channelId] = store[channelId][1:]
}
store[channelId] = append(store[channelId], true)
}
func consumeFail(channelId int) (bool, float64) {
if len(store[channelId]) > config.MetricQueueSize {
store[channelId] = store[channelId][1:]
}
store[channelId] = append(store[channelId], false)
successCount := 0
for _, success := range store[channelId] {
if success {
successCount++
}
}
successRate := float64(successCount) / float64(len(store[channelId]))
if len(store[channelId]) < config.MetricQueueSize {
return false, successRate
}
if successRate < config.MetricSuccessRateThreshold {
store[channelId] = make([]bool, 0)
return true, successRate
}
return false, successRate
}
func metricSuccessConsumer() {
for {
select {
case channelId := <-metricSuccessChan:
consumeSuccess(channelId)
}
}
}
func metricFailConsumer() {
for {
select {
case channelId := <-metricFailChan:
disable, successRate := consumeFail(channelId)
if disable {
go MetricDisableChannel(channelId, successRate)
}
}
}
}
func init() {
if config.EnableMetric {
go metricSuccessConsumer()
go metricFailConsumer()
}
}
func Emit(channelId int, success bool) {
if !config.EnableMetric {
return
}
go func() {
if success {
metricSuccessChan <- channelId
} else {
metricFailChan <- channelId
}
}()
}

View File

@@ -33,6 +33,9 @@ func ConvertRequest(request model.GeneralOpenAIRequest) *ChatRequest {
enableSearch = true
aliModel = strings.TrimSuffix(aliModel, EnableSearchModelSuffix)
}
if request.TopP >= 1 {
request.TopP = 0.9999
}
return &ChatRequest{
Model: aliModel,
Input: Input{
@@ -42,6 +45,9 @@ func ConvertRequest(request model.GeneralOpenAIRequest) *ChatRequest {
EnableSearch: enableSearch,
IncrementalOutput: request.Stream,
Seed: uint64(request.Seed),
MaxTokens: request.MaxTokens,
Temperature: request.Temperature,
TopP: request.TopP,
},
}
}

View File

@@ -16,6 +16,8 @@ type Parameters struct {
Seed uint64 `json:"seed,omitempty"`
EnableSearch bool `json:"enable_search,omitempty"`
IncrementalOutput bool `json:"incremental_output,omitempty"`
MaxTokens int `json:"max_tokens,omitempty"`
Temperature float64 `json:"temperature,omitempty"`
}
type ChatRequest struct {

View File

@@ -5,7 +5,6 @@ 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"
@@ -20,7 +19,7 @@ func (a *Adaptor) Init(meta *util.RelayMeta) {
}
func (a *Adaptor) GetRequestURL(meta *util.RelayMeta) (string, error) {
return fmt.Sprintf("%s/v1/complete", meta.BaseURL), nil
return fmt.Sprintf("%s/v1/messages", meta.BaseURL), nil
}
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *util.RelayMeta) error {
@@ -31,6 +30,7 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *ut
anthropicVersion = "2023-06-01"
}
req.Header.Set("anthropic-version", anthropicVersion)
req.Header.Set("anthropic-beta", "messages-2023-12-15")
return nil
}
@@ -47,9 +47,7 @@ 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)
usage = openai.ResponseText2Usage(responseText, meta.ActualModelName, meta.PromptTokens)
err, usage = StreamHandler(c, resp)
} else {
err, usage = Handler(c, resp, meta.PromptTokens, meta.ActualModelName)
}

View File

@@ -1,5 +1,8 @@
package anthropic
var ModelList = []string{
"claude-instant-1", "claude-2", "claude-2.0", "claude-2.1",
"claude-instant-1.2", "claude-2.0", "claude-2.1",
"claude-3-haiku-20240229",
"claude-3-sonnet-20240229",
"claude-3-opus-20240229",
}

View File

@@ -7,6 +7,7 @@ import (
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/helper"
"github.com/songquanpeng/one-api/common/image"
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/relay/channel/openai"
"github.com/songquanpeng/one-api/relay/model"
@@ -15,73 +16,135 @@ import (
"strings"
)
func stopReasonClaude2OpenAI(reason string) string {
switch reason {
func stopReasonClaude2OpenAI(reason *string) string {
if reason == nil {
return ""
}
switch *reason {
case "end_turn":
return "stop"
case "stop_sequence":
return "stop"
case "max_tokens":
return "length"
default:
return reason
return *reason
}
}
func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
claudeRequest := Request{
Model: textRequest.Model,
Prompt: "",
MaxTokensToSample: textRequest.MaxTokens,
StopSequences: nil,
MaxTokens: textRequest.MaxTokens,
Temperature: textRequest.Temperature,
TopP: textRequest.TopP,
Stream: textRequest.Stream,
}
if claudeRequest.MaxTokensToSample == 0 {
claudeRequest.MaxTokensToSample = 1000000
if claudeRequest.MaxTokens == 0 {
claudeRequest.MaxTokens = 4096
}
// legacy model name mapping
if claudeRequest.Model == "claude-instant-1" {
claudeRequest.Model = "claude-instant-1.1"
} else if claudeRequest.Model == "claude-2" {
claudeRequest.Model = "claude-2.1"
}
prompt := ""
for _, message := range textRequest.Messages {
if message.Role == "user" {
prompt += fmt.Sprintf("\n\nHuman: %s", message.Content)
} else if message.Role == "assistant" {
prompt += fmt.Sprintf("\n\nAssistant: %s", message.Content)
} else if message.Role == "system" {
if prompt == "" {
prompt = message.StringContent()
if message.Role == "system" && claudeRequest.System == "" {
claudeRequest.System = message.StringContent()
continue
}
claudeMessage := Message{
Role: message.Role,
}
var content Content
if message.IsStringContent() {
content.Type = "text"
content.Text = message.StringContent()
claudeMessage.Content = append(claudeMessage.Content, content)
claudeRequest.Messages = append(claudeRequest.Messages, claudeMessage)
continue
}
var contents []Content
openaiContent := message.ParseContent()
for _, part := range openaiContent {
var content Content
if part.Type == model.ContentTypeText {
content.Type = "text"
content.Text = part.Text
} else if part.Type == model.ContentTypeImageURL {
content.Type = "image"
content.Source = &ImageSource{
Type: "base64",
}
mimeType, data, _ := image.GetImageFromUrl(part.ImageURL.Url)
content.Source.MediaType = mimeType
content.Source.Data = data
}
contents = append(contents, content)
}
claudeMessage.Content = contents
claudeRequest.Messages = append(claudeRequest.Messages, claudeMessage)
}
prompt += "\n\nAssistant:"
claudeRequest.Prompt = prompt
return &claudeRequest
}
func streamResponseClaude2OpenAI(claudeResponse *Response) *openai.ChatCompletionsStreamResponse {
// https://docs.anthropic.com/claude/reference/messages-streaming
func streamResponseClaude2OpenAI(claudeResponse *StreamResponse) (*openai.ChatCompletionsStreamResponse, *Response) {
var response *Response
var responseText string
var stopReason string
switch claudeResponse.Type {
case "message_start":
return nil, claudeResponse.Message
case "content_block_start":
if claudeResponse.ContentBlock != nil {
responseText = claudeResponse.ContentBlock.Text
}
case "content_block_delta":
if claudeResponse.Delta != nil {
responseText = claudeResponse.Delta.Text
}
case "message_delta":
if claudeResponse.Usage != nil {
response = &Response{
Usage: *claudeResponse.Usage,
}
}
if claudeResponse.Delta != nil && claudeResponse.Delta.StopReason != nil {
stopReason = *claudeResponse.Delta.StopReason
}
}
var choice openai.ChatCompletionsStreamResponseChoice
choice.Delta.Content = claudeResponse.Completion
finishReason := stopReasonClaude2OpenAI(claudeResponse.StopReason)
choice.Delta.Content = responseText
choice.Delta.Role = "assistant"
finishReason := stopReasonClaude2OpenAI(&stopReason)
if finishReason != "null" {
choice.FinishReason = &finishReason
}
var response openai.ChatCompletionsStreamResponse
response.Object = "chat.completion.chunk"
response.Model = claudeResponse.Model
response.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
return &response
var openaiResponse openai.ChatCompletionsStreamResponse
openaiResponse.Object = "chat.completion.chunk"
openaiResponse.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
return &openaiResponse, response
}
func responseClaude2OpenAI(claudeResponse *Response) *openai.TextResponse {
var responseText string
if len(claudeResponse.Content) > 0 {
responseText = claudeResponse.Content[0].Text
}
choice := openai.TextResponseChoice{
Index: 0,
Message: model.Message{
Role: "assistant",
Content: strings.TrimPrefix(claudeResponse.Completion, " "),
Content: responseText,
Name: nil,
},
FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason),
}
fullTextResponse := openai.TextResponse{
Id: fmt.Sprintf("chatcmpl-%s", helper.GetUUID()),
Id: fmt.Sprintf("chatcmpl-%s", claudeResponse.Id),
Model: claudeResponse.Model,
Object: "chat.completion",
Created: helper.GetTimestamp(),
Choices: []openai.TextResponseChoice{choice},
@@ -89,17 +152,15 @@ func responseClaude2OpenAI(claudeResponse *Response) *openai.TextResponse {
return &fullTextResponse
}
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, string) {
responseText := ""
responseId := fmt.Sprintf("chatcmpl-%s", helper.GetUUID())
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
createdTime := helper.GetTimestamp()
scanner := bufio.NewScanner(resp.Body)
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
if atEOF && len(data) == 0 {
return 0, nil, nil
}
if i := strings.Index(string(data), "\r\n\r\n"); i >= 0 {
return i + 4, data[0:i], nil
if i := strings.Index(string(data), "\n"); i >= 0 {
return i + 1, data[0:i], nil
}
if atEOF {
return len(data), data, nil
@@ -111,29 +172,45 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
go func() {
for scanner.Scan() {
data := scanner.Text()
if !strings.HasPrefix(data, "event: completion") {
if len(data) < 6 {
continue
}
data = strings.TrimPrefix(data, "event: completion\r\ndata: ")
if !strings.HasPrefix(data, "data: ") {
continue
}
data = strings.TrimPrefix(data, "data: ")
dataChan <- data
}
stopChan <- true
}()
common.SetEventStreamHeaders(c)
var usage model.Usage
var modelName string
var id string
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 Response
var claudeResponse StreamResponse
err := json.Unmarshal([]byte(data), &claudeResponse)
if err != nil {
logger.SysError("error unmarshalling stream response: " + err.Error())
return true
}
responseText += claudeResponse.Completion
response := streamResponseClaude2OpenAI(&claudeResponse)
response.Id = responseId
response, meta := streamResponseClaude2OpenAI(&claudeResponse)
if meta != nil {
usage.PromptTokens += meta.Usage.InputTokens
usage.CompletionTokens += meta.Usage.OutputTokens
modelName = meta.Model
id = fmt.Sprintf("chatcmpl-%s", meta.Id)
return true
}
if response == nil {
return true
}
response.Id = id
response.Model = modelName
response.Created = createdTime
jsonStr, err := json.Marshal(response)
if err != nil {
@@ -147,11 +224,8 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
return false
}
})
err := resp.Body.Close()
if err != nil {
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
}
return nil, responseText
_ = resp.Body.Close()
return nil, &usage
}
func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName string) (*model.ErrorWithStatusCode, *model.Usage) {
@@ -181,11 +255,10 @@ func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName st
}
fullTextResponse := responseClaude2OpenAI(&claudeResponse)
fullTextResponse.Model = modelName
completionTokens := openai.CountTokenText(claudeResponse.Completion, modelName)
usage := model.Usage{
PromptTokens: promptTokens,
CompletionTokens: completionTokens,
TotalTokens: promptTokens + completionTokens,
PromptTokens: claudeResponse.Usage.InputTokens,
CompletionTokens: claudeResponse.Usage.OutputTokens,
TotalTokens: claudeResponse.Usage.InputTokens + claudeResponse.Usage.OutputTokens,
}
fullTextResponse.Usage = usage
jsonResponse, err := json.Marshal(fullTextResponse)

View File

@@ -1,19 +1,44 @@
package anthropic
// https://docs.anthropic.com/claude/reference/messages_post
type Metadata struct {
UserId string `json:"user_id"`
}
type ImageSource struct {
Type string `json:"type"`
MediaType string `json:"media_type"`
Data string `json:"data"`
}
type Content struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
Source *ImageSource `json:"source,omitempty"`
}
type Message struct {
Role string `json:"role"`
Content []Content `json:"content"`
}
type Request struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
MaxTokensToSample int `json:"max_tokens_to_sample"`
Messages []Message `json:"messages"`
System string `json:"system,omitempty"`
MaxTokens int `json:"max_tokens,omitempty"`
StopSequences []string `json:"stop_sequences,omitempty"`
Stream bool `json:"stream,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 Usage struct {
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
}
type Error struct {
@@ -22,8 +47,29 @@ type Error struct {
}
type Response struct {
Completion string `json:"completion"`
StopReason string `json:"stop_reason"`
Id string `json:"id"`
Type string `json:"type"`
Role string `json:"role"`
Content []Content `json:"content"`
Model string `json:"model"`
StopReason *string `json:"stop_reason"`
StopSequence *string `json:"stop_sequence"`
Usage Usage `json:"usage"`
Error Error `json:"error"`
}
type Delta struct {
Type string `json:"type"`
Text string `json:"text"`
StopReason *string `json:"stop_reason"`
StopSequence *string `json:"stop_sequence"`
}
type StreamResponse struct {
Type string `json:"type"`
Message *Response `json:"message"`
Index int `json:"index"`
ContentBlock *Content `json:"content_block"`
Delta *Delta `json:"delta"`
Usage *Usage `json:"usage"`
}

View File

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

View File

@@ -2,6 +2,7 @@ package baidu
import (
"errors"
"fmt"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/relay/channel"
"github.com/songquanpeng/one-api/relay/constant"
@@ -9,6 +10,7 @@ import (
"github.com/songquanpeng/one-api/relay/util"
"io"
"net/http"
"strings"
)
type Adaptor struct {
@@ -20,23 +22,33 @@ func (a *Adaptor) Init(meta *util.RelayMeta) {
func (a *Adaptor) GetRequestURL(meta *util.RelayMeta) (string, error) {
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/clntwmv7t
var fullRequestURL string
switch meta.ActualModelName {
case "ERNIE-Bot-4":
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro"
case "ERNIE-Bot-8K":
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie_bot_8k"
case "ERNIE-Bot":
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions"
case "ERNIE-Speed":
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie_speed"
case "ERNIE-Bot-turbo":
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant"
case "BLOOMZ-7B":
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/bloomz_7b1"
case "Embedding-V1":
fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/embedding-v1"
suffix := "chat/"
if strings.HasPrefix("Embedding", meta.ActualModelName) {
suffix = "embeddings/"
}
switch meta.ActualModelName {
case "ERNIE-4.0":
suffix += "completions_pro"
case "ERNIE-Bot-4":
suffix += "completions_pro"
case "ERNIE-3.5-8K":
suffix += "completions"
case "ERNIE-Bot-8K":
suffix += "ernie_bot_8k"
case "ERNIE-Bot":
suffix += "completions"
case "ERNIE-Speed":
suffix += "ernie_speed"
case "ERNIE-Bot-turbo":
suffix += "eb-instant"
case "BLOOMZ-7B":
suffix += "bloomz_7b1"
case "Embedding-V1":
suffix += "embedding-v1"
default:
suffix += meta.ActualModelName
}
fullRequestURL := fmt.Sprintf("%s/rpc/2.0/ai_custom/v1/wenxinworkshop/%s", meta.BaseURL, suffix)
var accessToken string
var err error
if accessToken, err = GetAccessToken(meta.APIKey); err != nil {

View File

@@ -1,6 +1,6 @@
package gemini
var ModelList = []string{
"gemini-pro",
"gemini-pro-vision",
"gemini-pro", "gemini-1.0-pro-001",
"gemini-pro-vision", "gemini-1.0-pro-vision-001",
}

View File

@@ -0,0 +1,10 @@
package groq
// https://console.groq.com/docs/models
var ModelList = []string{
"gemma-7b-it",
"llama2-7b-2048",
"llama2-70b-4096",
"mixtral-8x7b-32768",
}

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

@@ -0,0 +1,10 @@
package mistral
var ModelList = []string{
"open-mistral-7b",
"open-mixtral-8x7b",
"mistral-small-latest",
"mistral-medium-latest",
"mistral-large-latest",
"mistral-embed",
}

View File

@@ -6,8 +6,7 @@ import (
"github.com/gin-gonic/gin"
"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/moonshot"
"github.com/songquanpeng/one-api/relay/channel/minimax"
"github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/util"
"io"
@@ -24,7 +23,8 @@ 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)
@@ -38,9 +38,12 @@ 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
}
}
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *util.RelayMeta) error {
channel.SetupCommonRequestHeader(c, req, meta)
@@ -70,7 +73,7 @@ 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)
@@ -79,25 +82,11 @@ func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *util.Rel
}
func (a *Adaptor) GetModelList() []string {
switch a.ChannelType {
case common.ChannelType360:
return ai360.ModelList
case common.ChannelTypeMoonshot:
return moonshot.ModelList
default:
return ModelList
}
_, modelList := GetCompatibleChannelMeta(a.ChannelType)
return modelList
}
func (a *Adaptor) GetChannelName() string {
switch a.ChannelType {
case common.ChannelTypeAzure:
return "azure"
case common.ChannelType360:
return "360"
case common.ChannelTypeMoonshot:
return "moonshot"
default:
return "openai"
}
channelName, _ := GetCompatibleChannelMeta(a.ChannelType)
return channelName
}

View File

@@ -0,0 +1,42 @@
package openai
import (
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/relay/channel/ai360"
"github.com/songquanpeng/one-api/relay/channel/baichuan"
"github.com/songquanpeng/one-api/relay/channel/groq"
"github.com/songquanpeng/one-api/relay/channel/minimax"
"github.com/songquanpeng/one-api/relay/channel/mistral"
"github.com/songquanpeng/one-api/relay/channel/moonshot"
)
var CompatibleChannels = []int{
common.ChannelTypeAzure,
common.ChannelType360,
common.ChannelTypeMoonshot,
common.ChannelTypeBaichuan,
common.ChannelTypeMinimax,
common.ChannelTypeMistral,
common.ChannelTypeGroq,
}
func GetCompatibleChannelMeta(channelType int) (string, []string) {
switch channelType {
case common.ChannelTypeAzure:
return "azure", ModelList
case common.ChannelType360:
return "360", ai360.ModelList
case common.ChannelTypeMoonshot:
return "moonshot", moonshot.ModelList
case common.ChannelTypeBaichuan:
return "baichuan", baichuan.ModelList
case common.ChannelTypeMinimax:
return "minimax", minimax.ModelList
case common.ChannelTypeMistral:
return "mistralai", mistral.ModelList
case common.ChannelTypeGroq:
return "groq", groq.ModelList
default:
return "openai", ModelList
}
}

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

@@ -132,6 +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

@@ -28,17 +28,6 @@ func ConvertRequest(request model.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, Message{
Role: "user",
Content: message.StringContent(),
})
messages = append(messages, Message{
Role: "assistant",
Content: "Okay",
})
continue
}
messages = append(messages, Message{
Content: message.StringContent(),
Role: message.Role,
@@ -81,6 +70,7 @@ 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

@@ -27,22 +27,11 @@ import (
func requestOpenAI2Xunfei(request model.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, Message{
Role: "user",
Content: message.StringContent(),
})
messages = append(messages, Message{
Role: "assistant",
Content: "Okay",
})
} else {
messages = append(messages, Message{
Role: message.Role,
Content: message.StringContent(),
})
}
}
xunfeiRequest := ChatRequest{}
xunfeiRequest.Header.AppId = xunfeiAppId
xunfeiRequest.Parameter.Chat.Domain = domain

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",
}

View File

@@ -76,22 +76,11 @@ func GetToken(apikey string) string {
func ConvertRequest(request model.GeneralOpenAIRequest) *Request {
messages := make([]Message, 0, len(request.Messages))
for _, message := range request.Messages {
if message.Role == "system" {
messages = append(messages, Message{
Role: "system",
Content: message.StringContent(),
})
messages = append(messages, Message{
Role: "user",
Content: "Okay",
})
} else {
messages = append(messages, Message{
Role: message.Role,
Content: message.StringContent(),
})
}
}
return &Request{
Prompt: messages,
Temperature: request.Temperature,

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:
@@ -113,10 +172,8 @@ func postConsumeQuota(ctx context.Context, usage *relaymodel.Usage, meta *util.R
if err != nil {
logger.Error(ctx, "error update user quota cache: "+err.Error())
}
if quota != 0 {
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f,补全倍率 %.2f", modelRatio, groupRatio, completionRatio)
model.RecordConsumeLog(ctx, meta.UserId, meta.ChannelId, promptTokens, completionTokens, textRequest.Model, meta.TokenName, quota, logContent)
model.UpdateUserUsedQuotaAndRequestCount(meta.UserId, quota)
model.UpdateChannelUsedQuota(meta.ChannelId, quota)
}
}

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)
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
}
imageCostRatio, err := getImageCostRatio(imageRequest)
if err != nil {
return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
return openai.ErrorWrapper(err, "get_image_cost_ratio_failed", http.StatusInternalServerError)
}
if modelMap[imageModel] != "" {
imageModel = modelMap[imageModel]
isModelMapped = true
}
}
baseURL := common.ChannelBaseURLs[channelType]
requestURL := c.Request.URL.String()
if c.GetString("base_url") != "" {
baseURL = c.GetString("base_url")
}
fullRequestURL := 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

@@ -55,7 +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)
@@ -82,11 +83,12 @@ func RelayTextHelper(c *gin.Context) *model.ErrorWithStatusCode {
logger.Errorf(ctx, "DoRequest failed: %s", err.Error())
return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
}
meta.IsStream = meta.IsStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
if resp.StatusCode != http.StatusOK {
errorHappened := (resp.StatusCode != http.StatusOK) || (meta.IsStream && resp.Header.Get("Content-Type") == "application/json")
if errorHappened {
util.ReturnPreConsumedQuota(ctx, preConsumedQuota, meta.TokenId)
return util.RelayErrorHandler(resp)
}
meta.IsStream = meta.IsStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
// do response
usage, respErr := adaptor.DoResponse(c, resp, meta)

View File

@@ -14,6 +14,7 @@ func SetApiRouter(router *gin.Engine) {
apiRouter.Use(middleware.GlobalAPIRateLimit())
{
apiRouter.GET("/status", controller.GetStatus)
apiRouter.GET("/models", middleware.UserAuth(), controller.DashboardListModels)
apiRouter.GET("/notice", controller.GetNotice)
apiRouter.GET("/about", controller.GetAbout)
apiRouter.GET("/home_page_content", controller.GetHomePageContent)
@@ -69,7 +70,7 @@ func SetApiRouter(router *gin.Engine) {
channelRoute.GET("/search", controller.SearchChannels)
channelRoute.GET("/models", controller.ListModels)
channelRoute.GET("/:id", controller.GetChannel)
channelRoute.GET("/test", controller.TestAllChannels)
channelRoute.GET("/test", controller.TestChannels)
channelRoute.GET("/test/:id", controller.TestChannel)
channelRoute.GET("/update_balance", controller.UpdateAllChannelsBalance)
channelRoute.GET("/update_balance/:id", controller.UpdateChannelBalance)

View File

@@ -15,7 +15,7 @@ export const CHANNEL_OPTIONS = {
key: 3,
text: 'Azure OpenAI',
value: 3,
color: 'orange'
color: 'secondary'
},
11: {
key: 11,
@@ -29,6 +29,12 @@ export const CHANNEL_OPTIONS = {
value: 24,
color: 'orange'
},
28: {
key: 28,
text: 'Mistral AI',
value: 28,
color: 'orange'
},
15: {
key: 15,
text: '百度文心千帆',
@@ -71,6 +77,24 @@ 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'
},
29: {
key: 29,
text: 'Groq',
value: 29,
color: 'default'
},
8: {
key: 8,
text: '自定义渠道',

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",
},
@@ -145,6 +145,27 @@ 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",
},
29: {
modelGroup: "groq",
},
};
export { defaultConfig, typeConfig };

View File

@@ -1,7 +1,16 @@
import React, { useEffect, useState } from 'react';
import { Button, Form, Input, Label, Message, Pagination, Popup, Table } from 'semantic-ui-react';
import { Link } from 'react-router-dom';
import { API, setPromptShown, shouldShowPrompt, showError, showInfo, showSuccess, timestamp2string } from '../helpers';
import {
API,
loadChannelModels,
setPromptShown,
shouldShowPrompt,
showError,
showInfo,
showSuccess,
timestamp2string
} from '../helpers';
import { CHANNEL_OPTIONS, ITEMS_PER_PAGE } from '../constants';
import { renderGroup, renderNumber } from '../helpers/render';
@@ -95,6 +104,7 @@ const ChannelsTable = () => {
.catch((reason) => {
showError(reason);
});
loadChannelModels().then();
}, []);
const manageChannel = async (id, action, idx, value) => {
@@ -230,11 +240,11 @@ const ChannelsTable = () => {
}
};
const testAllChannels = async () => {
const res = await API.get(`/api/channel/test`);
const testChannels = async (scope) => {
const res = await API.get(`/api/channel/test?scope=${scope}`);
const { success, message } = res.data;
if (success) {
showInfo('已成功开始测试所有通道,请刷新页面查看结果。');
showInfo('已成功开始测试通道,请刷新页面查看结果。');
} else {
showError(message);
}
@@ -519,9 +529,12 @@ const ChannelsTable = () => {
<Button size='small' as={Link} to='/channel/add' loading={loading}>
添加新的渠道
</Button>
<Button size='small' loading={loading} onClick={testAllChannels}>
<Button size='small' loading={loading} onClick={()=>{testChannels("all")}}>
测试所有渠道
</Button>
<Button size='small' loading={loading} onClick={()=>{testChannels("disabled")}}>
测试禁用渠道
</Button>
{/*<Button size='small' onClick={updateAllChannelsBalance}*/}
{/* loading={loading || updatingBalance}>更新已启用渠道余额</Button>*/}
<Popup

View File

@@ -16,6 +16,17 @@ const PasswordResetForm = () => {
const [disableButton, setDisableButton] = useState(false);
const [countdown, setCountdown] = useState(30);
useEffect(() => {
let status = localStorage.getItem('status');
if (status) {
status = JSON.parse(status);
if (status.turnstile_check) {
setTurnstileEnabled(true);
setTurnstileSiteKey(status.turnstile_site_key);
}
}
}, []);
useEffect(() => {
let countdownInterval = null;
if (disableButton && countdown > 0) {

View File

@@ -4,6 +4,7 @@ export const CHANNEL_OPTIONS = [
{ key: 3, text: 'Azure OpenAI', value: 3, color: 'olive' },
{ key: 11, text: 'Google PaLM2', value: 11, color: 'orange' },
{ key: 24, text: 'Google Gemini', value: 24, color: 'orange' },
{ key: 28, text: 'Mistral AI', value: 28, color: 'orange' },
{ key: 15, text: '百度文心千帆', value: 15, color: 'blue' },
{ key: 17, text: '阿里通义千问', value: 17, color: 'orange' },
{ key: 18, text: '讯飞星火认知', value: 18, color: 'blue' },
@@ -11,6 +12,9 @@ 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: 29, text: 'Groq', value: 29, color: 'orange' },
{ 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

@@ -1,11 +1,13 @@
import { toast } from 'react-toastify';
import { toastConstants } from '../constants';
import React from 'react';
import { API } from './api';
const HTMLToastContent = ({ htmlContent }) => {
return <div dangerouslySetInnerHTML={{ __html: htmlContent }} />;
};
export default HTMLToastContent;
export function isAdmin() {
let user = localStorage.getItem('user');
if (!user) return false;
@@ -29,7 +31,7 @@ export function getSystemName() {
export function getLogo() {
let logo = localStorage.getItem('logo');
if (!logo) return '/logo.png';
return logo
return logo;
}
export function getFooterHTML() {
@@ -197,3 +199,29 @@ export function shouldShowPrompt(id) {
export function setPromptShown(id) {
localStorage.setItem(`prompt-${id}`, 'true');
}
let channelModels = undefined;
export async function loadChannelModels() {
const res = await API.get('/api/models');
const { success, data } = res.data;
if (!success) {
return;
}
channelModels = data;
localStorage.setItem('channel_models', JSON.stringify(data));
}
export function getChannelModels(type) {
if (channelModels !== undefined && type in channelModels) {
return channelModels[type];
}
let models = localStorage.getItem('channel_models');
if (!models) {
return [];
}
channelModels = JSON.parse(models);
if (type in channelModels) {
return channelModels[type];
}
return [];
}

View File

@@ -1,7 +1,7 @@
import React, { useEffect, useState } from 'react';
import { Button, Form, Header, Input, Message, Segment } from 'semantic-ui-react';
import { useNavigate, useParams } from 'react-router-dom';
import { API, showError, showInfo, showSuccess, verifyJSON } from '../../helpers';
import { API, copy, getChannelModels, showError, showInfo, showSuccess, verifyJSON } from '../../helpers';
import { CHANNEL_OPTIONS } from '../../constants';
const MODEL_MAPPING_EXAMPLE = {
@@ -56,55 +56,13 @@ const EditChannel = () => {
const [customModel, setCustomModel] = useState('');
const handleInputChange = (e, { name, value }) => {
setInputs((inputs) => ({ ...inputs, [name]: value }));
if (name === 'type' && inputs.models.length === 0) {
let localModels = [];
switch (value) {
case 14:
localModels = ['claude-instant-1', 'claude-2', 'claude-2.0', 'claude-2.1'];
break;
case 11:
localModels = ['PaLM-2'];
break;
case 15:
localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'ERNIE-Bot-4', 'Embedding-V1'];
break;
case 17:
localModels = ['qwen-turbo', 'qwen-plus', 'qwen-max', 'qwen-max-longcontext', 'text-embedding-v1'];
let withInternetVersion = [];
for (let i = 0; i < localModels.length; i++) {
if (localModels[i].startsWith('qwen-')) {
withInternetVersion.push(localModels[i] + '-internet');
}
}
localModels = [...localModels, ...withInternetVersion];
break;
case 16:
localModels = ['chatglm_turbo', 'chatglm_pro', 'chatglm_std', 'chatglm_lite'];
break;
case 18:
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'];
break;
case 23:
localModels = ['hunyuan'];
break;
case 24:
localModels = ['gemini-pro', 'gemini-pro-vision'];
break;
case 25:
localModels = ['moonshot-v1-8k', 'moonshot-v1-32k', 'moonshot-v1-128k'];
break;
}
if (name === 'type') {
let localModels = getChannelModels(value);
if (inputs.models.length === 0) {
setInputs((inputs) => ({ ...inputs, models: localModels }));
}
setBasicModels(localModels);
}
};
const loadChannel = async () => {
@@ -256,6 +214,7 @@ const EditChannel = () => {
label='类型'
name='type'
required
search
options={CHANNEL_OPTIONS}
value={inputs.type}
onChange={handleInputChange}
@@ -384,6 +343,8 @@ const EditChannel = () => {
required
fluid
multiple
search
onLabelClick={(e, { value }) => {copy(value).then()}}
selection
onChange={handleInputChange}
value={inputs.models}