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v0.5.8-alp
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10
README.md
10
README.md
@@ -51,15 +51,15 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
|
||||
<a href="https://iamazing.cn/page/reward">赞赏支持</a>
|
||||
</p>
|
||||
|
||||
> **Note**
|
||||
> [!NOTE]
|
||||
> 本项目为开源项目,使用者必须在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用,不得用于非法用途。
|
||||
>
|
||||
> 根据[《生成式人工智能服务管理暂行办法》](http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm)的要求,请勿对中国地区公众提供一切未经备案的生成式人工智能服务。
|
||||
|
||||
> **Warning**
|
||||
> [!WARNING]
|
||||
> 使用 Docker 拉取的最新镜像可能是 `alpha` 版本,如果追求稳定性请手动指定版本。
|
||||
|
||||
> **Warning**
|
||||
> [!WARNING]
|
||||
> 使用 root 用户初次登录系统后,务必修改默认密码 `123456`!
|
||||
|
||||
## 功能
|
||||
@@ -92,14 +92,14 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
|
||||
12. 支持**用户邀请奖励**。
|
||||
13. 支持以美元为单位显示额度。
|
||||
14. 支持发布公告,设置充值链接,设置新用户初始额度。
|
||||
15. 支持模型映射,重定向用户的请求模型。
|
||||
15. 支持模型映射,重定向用户的请求模型,如无必要请不要设置,设置之后会导致请求体被重新构造而非直接透传,会导致部分还未正式支持的字段无法传递成功。
|
||||
16. 支持失败自动重试。
|
||||
17. 支持绘图接口。
|
||||
18. 支持 [Cloudflare AI Gateway](https://developers.cloudflare.com/ai-gateway/providers/openai/),渠道设置的代理部分填写 `https://gateway.ai.cloudflare.com/v1/ACCOUNT_TAG/GATEWAY/openai` 即可。
|
||||
19. 支持丰富的**自定义**设置,
|
||||
1. 支持自定义系统名称,logo 以及页脚。
|
||||
2. 支持自定义首页和关于页面,可以选择使用 HTML & Markdown 代码进行自定义,或者使用一个单独的网页通过 iframe 嵌入。
|
||||
20. 支持通过系统访问令牌访问管理 API。
|
||||
20. 支持通过系统访问令牌访问管理 API(bearer token,用以替代 cookie,你可以自行抓包来查看 API 的用法)。
|
||||
21. 支持 Cloudflare Turnstile 用户校验。
|
||||
22. 支持用户管理,支持**多种用户登录注册方式**:
|
||||
+ 邮箱登录注册(支持注册邮箱白名单)以及通过邮箱进行密码重置。
|
||||
|
@@ -78,6 +78,7 @@ var QuotaForInviter = 0
|
||||
var QuotaForInvitee = 0
|
||||
var ChannelDisableThreshold = 5.0
|
||||
var AutomaticDisableChannelEnabled = false
|
||||
var AutomaticEnableChannelEnabled = false
|
||||
var QuotaRemindThreshold = 1000
|
||||
var PreConsumedQuota = 500
|
||||
var ApproximateTokenEnabled = false
|
||||
|
@@ -1,11 +1,13 @@
|
||||
package common
|
||||
|
||||
import (
|
||||
"crypto/rand"
|
||||
"crypto/tls"
|
||||
"encoding/base64"
|
||||
"fmt"
|
||||
"net/smtp"
|
||||
"strings"
|
||||
"time"
|
||||
)
|
||||
|
||||
func SendEmail(subject string, receiver string, content string) error {
|
||||
@@ -13,15 +15,32 @@ func SendEmail(subject string, receiver string, content string) error {
|
||||
SMTPFrom = SMTPAccount
|
||||
}
|
||||
encodedSubject := fmt.Sprintf("=?UTF-8?B?%s?=", base64.StdEncoding.EncodeToString([]byte(subject)))
|
||||
|
||||
// Extract domain from SMTPFrom
|
||||
parts := strings.Split(SMTPFrom, "@")
|
||||
var domain string
|
||||
if len(parts) > 1 {
|
||||
domain = parts[1]
|
||||
}
|
||||
// Generate a unique Message-ID
|
||||
buf := make([]byte, 16)
|
||||
_, err := rand.Read(buf)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
messageId := fmt.Sprintf("<%x@%s>", buf, domain)
|
||||
|
||||
mail := []byte(fmt.Sprintf("To: %s\r\n"+
|
||||
"From: %s<%s>\r\n"+
|
||||
"Subject: %s\r\n"+
|
||||
"Message-ID: %s\r\n"+ // add Message-ID header to avoid being treated as spam, RFC 5322
|
||||
"Date: %s\r\n"+
|
||||
"Content-Type: text/html; charset=UTF-8\r\n\r\n%s\r\n",
|
||||
receiver, SystemName, SMTPFrom, encodedSubject, content))
|
||||
receiver, SystemName, SMTPFrom, encodedSubject, messageId, time.Now().Format(time.RFC1123Z), content))
|
||||
auth := smtp.PlainAuth("", SMTPAccount, SMTPToken, SMTPServer)
|
||||
addr := fmt.Sprintf("%s:%d", SMTPServer, SMTPPort)
|
||||
to := strings.Split(receiver, ";")
|
||||
var err error
|
||||
|
||||
if SMTPPort == 465 {
|
||||
tlsConfig := &tls.Config{
|
||||
InsecureSkipVerify: true,
|
||||
|
@@ -5,6 +5,7 @@ import (
|
||||
"encoding/json"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"strings"
|
||||
)
|
||||
|
||||
func UnmarshalBodyReusable(c *gin.Context, v any) error {
|
||||
@@ -16,7 +17,13 @@ func UnmarshalBodyReusable(c *gin.Context, v any) error {
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
err = json.Unmarshal(requestBody, &v)
|
||||
contentType := c.Request.Header.Get("Content-Type")
|
||||
if strings.HasPrefix(contentType, "application/json") {
|
||||
err = json.Unmarshal(requestBody, &v)
|
||||
} else {
|
||||
// skip for now
|
||||
// TODO: someday non json request have variant model, we will need to implementation this
|
||||
}
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
47
common/image/image.go
Normal file
47
common/image/image.go
Normal file
@@ -0,0 +1,47 @@
|
||||
package image
|
||||
|
||||
import (
|
||||
"image"
|
||||
_ "image/gif"
|
||||
_ "image/jpeg"
|
||||
_ "image/png"
|
||||
"net/http"
|
||||
"regexp"
|
||||
"strings"
|
||||
|
||||
_ "golang.org/x/image/webp"
|
||||
)
|
||||
|
||||
func GetImageSizeFromUrl(url string) (width int, height int, err error) {
|
||||
resp, err := http.Get(url)
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
img, _, err := image.DecodeConfig(resp.Body)
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
return img.Width, img.Height, nil
|
||||
}
|
||||
|
||||
var (
|
||||
reg = regexp.MustCompile(`data:image/([^;]+);base64,`)
|
||||
)
|
||||
|
||||
func GetImageSizeFromBase64(encoded string) (width int, height int, err error) {
|
||||
encoded = strings.TrimPrefix(encoded, "data:image/png;base64,")
|
||||
base64 := strings.NewReader(reg.ReplaceAllString(encoded, ""))
|
||||
img, _, err := image.DecodeConfig(base64)
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
return img.Width, img.Height, nil
|
||||
}
|
||||
|
||||
func GetImageSize(image string) (width int, height int, err error) {
|
||||
if strings.HasPrefix(image, "data:image/") {
|
||||
return GetImageSizeFromBase64(image)
|
||||
}
|
||||
return GetImageSizeFromUrl(image)
|
||||
}
|
154
common/image/image_test.go
Normal file
154
common/image/image_test.go
Normal file
@@ -0,0 +1,154 @@
|
||||
package image_test
|
||||
|
||||
import (
|
||||
"encoding/base64"
|
||||
"image"
|
||||
_ "image/gif"
|
||||
_ "image/jpeg"
|
||||
_ "image/png"
|
||||
"io"
|
||||
"net/http"
|
||||
"strconv"
|
||||
"strings"
|
||||
"testing"
|
||||
|
||||
img "one-api/common/image"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
_ "golang.org/x/image/webp"
|
||||
)
|
||||
|
||||
type CountingReader struct {
|
||||
reader io.Reader
|
||||
BytesRead int
|
||||
}
|
||||
|
||||
func (r *CountingReader) Read(p []byte) (n int, err error) {
|
||||
n, err = r.reader.Read(p)
|
||||
r.BytesRead += n
|
||||
return n, err
|
||||
}
|
||||
|
||||
var (
|
||||
cases = []struct {
|
||||
url string
|
||||
format string
|
||||
width int
|
||||
height int
|
||||
}{
|
||||
{"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", "jpeg", 2560, 1669},
|
||||
{"https://upload.wikimedia.org/wikipedia/commons/9/97/Basshunter_live_performances.png", "png", 4500, 2592},
|
||||
{"https://upload.wikimedia.org/wikipedia/commons/c/c6/TO_THE_ONE_SOMETHINGNESS.webp", "webp", 984, 985},
|
||||
{"https://upload.wikimedia.org/wikipedia/commons/d/d0/01_Das_Sandberg-Modell.gif", "gif", 1917, 1533},
|
||||
{"https://upload.wikimedia.org/wikipedia/commons/6/62/102Cervus.jpg", "jpeg", 270, 230},
|
||||
}
|
||||
)
|
||||
|
||||
func TestDecode(t *testing.T) {
|
||||
// Bytes read: varies sometimes
|
||||
// jpeg: 1063892
|
||||
// png: 294462
|
||||
// webp: 99529
|
||||
// gif: 956153
|
||||
// jpeg#01: 32805
|
||||
for _, c := range cases {
|
||||
t.Run("Decode:"+c.format, func(t *testing.T) {
|
||||
resp, err := http.Get(c.url)
|
||||
assert.NoError(t, err)
|
||||
defer resp.Body.Close()
|
||||
reader := &CountingReader{reader: resp.Body}
|
||||
img, format, err := image.Decode(reader)
|
||||
assert.NoError(t, err)
|
||||
size := img.Bounds().Size()
|
||||
assert.Equal(t, c.format, format)
|
||||
assert.Equal(t, c.width, size.X)
|
||||
assert.Equal(t, c.height, size.Y)
|
||||
t.Logf("Bytes read: %d", reader.BytesRead)
|
||||
})
|
||||
}
|
||||
|
||||
// Bytes read:
|
||||
// jpeg: 4096
|
||||
// png: 4096
|
||||
// webp: 4096
|
||||
// gif: 4096
|
||||
// jpeg#01: 4096
|
||||
for _, c := range cases {
|
||||
t.Run("DecodeConfig:"+c.format, func(t *testing.T) {
|
||||
resp, err := http.Get(c.url)
|
||||
assert.NoError(t, err)
|
||||
defer resp.Body.Close()
|
||||
reader := &CountingReader{reader: resp.Body}
|
||||
config, format, err := image.DecodeConfig(reader)
|
||||
assert.NoError(t, err)
|
||||
assert.Equal(t, c.format, format)
|
||||
assert.Equal(t, c.width, config.Width)
|
||||
assert.Equal(t, c.height, config.Height)
|
||||
t.Logf("Bytes read: %d", reader.BytesRead)
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestBase64(t *testing.T) {
|
||||
// Bytes read:
|
||||
// jpeg: 1063892
|
||||
// png: 294462
|
||||
// webp: 99072
|
||||
// gif: 953856
|
||||
// jpeg#01: 32805
|
||||
for _, c := range cases {
|
||||
t.Run("Decode:"+c.format, func(t *testing.T) {
|
||||
resp, err := http.Get(c.url)
|
||||
assert.NoError(t, err)
|
||||
defer resp.Body.Close()
|
||||
data, err := io.ReadAll(resp.Body)
|
||||
assert.NoError(t, err)
|
||||
encoded := base64.StdEncoding.EncodeToString(data)
|
||||
body := base64.NewDecoder(base64.StdEncoding, strings.NewReader(encoded))
|
||||
reader := &CountingReader{reader: body}
|
||||
img, format, err := image.Decode(reader)
|
||||
assert.NoError(t, err)
|
||||
size := img.Bounds().Size()
|
||||
assert.Equal(t, c.format, format)
|
||||
assert.Equal(t, c.width, size.X)
|
||||
assert.Equal(t, c.height, size.Y)
|
||||
t.Logf("Bytes read: %d", reader.BytesRead)
|
||||
})
|
||||
}
|
||||
|
||||
// Bytes read:
|
||||
// jpeg: 1536
|
||||
// png: 768
|
||||
// webp: 768
|
||||
// gif: 1536
|
||||
// jpeg#01: 3840
|
||||
for _, c := range cases {
|
||||
t.Run("DecodeConfig:"+c.format, func(t *testing.T) {
|
||||
resp, err := http.Get(c.url)
|
||||
assert.NoError(t, err)
|
||||
defer resp.Body.Close()
|
||||
data, err := io.ReadAll(resp.Body)
|
||||
assert.NoError(t, err)
|
||||
encoded := base64.StdEncoding.EncodeToString(data)
|
||||
body := base64.NewDecoder(base64.StdEncoding, strings.NewReader(encoded))
|
||||
reader := &CountingReader{reader: body}
|
||||
config, format, err := image.DecodeConfig(reader)
|
||||
assert.NoError(t, err)
|
||||
assert.Equal(t, c.format, format)
|
||||
assert.Equal(t, c.width, config.Width)
|
||||
assert.Equal(t, c.height, config.Height)
|
||||
t.Logf("Bytes read: %d", reader.BytesRead)
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestGetImageSize(t *testing.T) {
|
||||
for i, c := range cases {
|
||||
t.Run("Decode:"+strconv.Itoa(i), func(t *testing.T) {
|
||||
width, height, err := img.GetImageSize(c.url)
|
||||
assert.NoError(t, err)
|
||||
assert.Equal(t, c.width, width)
|
||||
assert.Equal(t, c.height, height)
|
||||
})
|
||||
}
|
||||
}
|
@@ -6,6 +6,29 @@ 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,
|
||||
}
|
||||
|
||||
// ModelRatio
|
||||
// https://platform.openai.com/docs/models/model-endpoint-compatibility
|
||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
|
||||
@@ -36,7 +59,11 @@ var ModelRatio = map[string]float64{
|
||||
"text-davinci-003": 10,
|
||||
"text-davinci-edit-001": 10,
|
||||
"code-davinci-edit-001": 10,
|
||||
"whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
|
||||
"whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
|
||||
"tts-1": 7.5, // $0.015 / 1K characters
|
||||
"tts-1-1106": 7.5,
|
||||
"tts-1-hd": 15, // $0.030 / 1K characters
|
||||
"tts-1-hd-1106": 15,
|
||||
"davinci": 10,
|
||||
"curie": 10,
|
||||
"babbage": 10,
|
||||
@@ -45,9 +72,12 @@ var ModelRatio = map[string]float64{
|
||||
"text-search-ada-doc-001": 10,
|
||||
"text-moderation-stable": 0.1,
|
||||
"text-moderation-latest": 0.1,
|
||||
"dall-e": 8,
|
||||
"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
|
||||
"ERNIE-Bot": 0.8572, // ¥0.012 / 1k tokens
|
||||
"ERNIE-Bot-turbo": 0.5715, // ¥0.008 / 1k tokens
|
||||
"ERNIE-Bot-4": 8.572, // ¥0.12 / 1k tokens
|
||||
|
@@ -5,14 +5,15 @@ import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/model"
|
||||
"strconv"
|
||||
"strings"
|
||||
"sync"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
func testChannel(channel *model.Channel, request ChatRequest) (err error, openaiErr *OpenAIError) {
|
||||
@@ -43,16 +44,14 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
|
||||
}
|
||||
requestURL := common.ChannelBaseURLs[channel.Type]
|
||||
if channel.Type == common.ChannelTypeAzure {
|
||||
requestURL = fmt.Sprintf("%s/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", channel.GetBaseURL(), request.Model)
|
||||
requestURL = getFullRequestURL(channel.GetBaseURL(), fmt.Sprintf("/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", request.Model), channel.Type)
|
||||
} else {
|
||||
if channel.GetBaseURL() != "" {
|
||||
requestURL = channel.GetBaseURL()
|
||||
if baseURL := channel.GetBaseURL(); len(baseURL) > 0 {
|
||||
requestURL = baseURL
|
||||
}
|
||||
requestURL += "/v1/chat/completions"
|
||||
}
|
||||
// for Cloudflare AI gateway: https://github.com/songquanpeng/one-api/pull/639
|
||||
requestURL = strings.Replace(requestURL, "/v1/v1", "/v1", 1)
|
||||
|
||||
requestURL = getFullRequestURL(requestURL, "/v1/chat/completions", channel.Type)
|
||||
}
|
||||
jsonData, err := json.Marshal(request)
|
||||
if err != nil {
|
||||
return err, nil
|
||||
@@ -73,11 +72,18 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
var response TextResponse
|
||||
err = json.NewDecoder(resp.Body).Decode(&response)
|
||||
body, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return err, nil
|
||||
}
|
||||
err = json.Unmarshal(body, &response)
|
||||
if err != nil {
|
||||
return fmt.Errorf("Error: %s\nResp body: %s", err, body), nil
|
||||
}
|
||||
if response.Usage.CompletionTokens == 0 {
|
||||
if response.Error.Message == "" {
|
||||
response.Error.Message = "补全 tokens 非预期返回 0"
|
||||
}
|
||||
return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error
|
||||
}
|
||||
return nil, nil
|
||||
@@ -139,20 +145,32 @@ func TestChannel(c *gin.Context) {
|
||||
var testAllChannelsLock sync.Mutex
|
||||
var testAllChannelsRunning bool = false
|
||||
|
||||
// disable & notify
|
||||
func disableChannel(channelId int, channelName string, reason string) {
|
||||
func notifyRootUser(subject string, content string) {
|
||||
if common.RootUserEmail == "" {
|
||||
common.RootUserEmail = model.GetRootUserEmail()
|
||||
}
|
||||
model.UpdateChannelStatusById(channelId, common.ChannelStatusAutoDisabled)
|
||||
subject := fmt.Sprintf("通道「%s」(#%d)已被禁用", channelName, channelId)
|
||||
content := fmt.Sprintf("通道「%s」(#%d)已被禁用,原因:%s", channelName, channelId, reason)
|
||||
err := common.SendEmail(subject, common.RootUserEmail, content)
|
||||
if err != nil {
|
||||
common.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 {
|
||||
if common.RootUserEmail == "" {
|
||||
common.RootUserEmail = model.GetRootUserEmail()
|
||||
@@ -175,20 +193,21 @@ func testAllChannels(notify bool) error {
|
||||
}
|
||||
go func() {
|
||||
for _, channel := range channels {
|
||||
if channel.Status != common.ChannelStatusEnabled {
|
||||
continue
|
||||
}
|
||||
isChannelEnabled := channel.Status == common.ChannelStatusEnabled
|
||||
tik := time.Now()
|
||||
err, openaiErr := testChannel(channel, *testRequest)
|
||||
tok := time.Now()
|
||||
milliseconds := tok.Sub(tik).Milliseconds()
|
||||
if milliseconds > disableThreshold {
|
||||
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())
|
||||
}
|
||||
if shouldDisableChannel(openaiErr, -1) {
|
||||
if isChannelEnabled && shouldDisableChannel(openaiErr, -1) {
|
||||
disableChannel(channel.Id, channel.Name, err.Error())
|
||||
}
|
||||
if !isChannelEnabled && shouldEnableChannel(err, openaiErr) {
|
||||
enableChannel(channel.Id, channel.Name)
|
||||
}
|
||||
channel.UpdateResponseTime(milliseconds)
|
||||
time.Sleep(common.RequestInterval)
|
||||
}
|
||||
|
@@ -55,12 +55,21 @@ func init() {
|
||||
// https://platform.openai.com/docs/models/model-endpoint-compatibility
|
||||
openAIModels = []OpenAIModels{
|
||||
{
|
||||
Id: "dall-e",
|
||||
Id: "dall-e-2",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "openai",
|
||||
Permission: permission,
|
||||
Root: "dall-e",
|
||||
Root: "dall-e-2",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "dall-e-3",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "openai",
|
||||
Permission: permission,
|
||||
Root: "dall-e-3",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
@@ -72,6 +81,42 @@ func init() {
|
||||
Root: "whisper-1",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "tts-1",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "openai",
|
||||
Permission: permission,
|
||||
Root: "tts-1",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "tts-1-1106",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "openai",
|
||||
Permission: permission,
|
||||
Root: "tts-1-1106",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "tts-1-hd",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "openai",
|
||||
Permission: permission,
|
||||
Root: "tts-1-hd",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "tts-1-hd-1106",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "openai",
|
||||
Permission: permission,
|
||||
Root: "tts-1-hd-1106",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "gpt-3.5-turbo",
|
||||
Object: "model",
|
||||
@@ -315,6 +360,24 @@ func init() {
|
||||
Root: "claude-2",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "claude-2.1",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "anthropic",
|
||||
Permission: permission,
|
||||
Root: "claude-2.1",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "claude-2.0",
|
||||
Object: "model",
|
||||
Created: 1677649963,
|
||||
OwnedBy: "anthropic",
|
||||
Permission: permission,
|
||||
Root: "claude-2.0",
|
||||
Parent: nil,
|
||||
},
|
||||
{
|
||||
Id: "ERNIE-Bot",
|
||||
Object: "model",
|
||||
|
@@ -48,7 +48,7 @@ type AIProxyLibraryStreamResponse struct {
|
||||
func requestOpenAI2AIProxyLibrary(request GeneralOpenAIRequest) *AIProxyLibraryRequest {
|
||||
query := ""
|
||||
if len(request.Messages) != 0 {
|
||||
query = request.Messages[len(request.Messages)-1].Content
|
||||
query = request.Messages[len(request.Messages)-1].StringContent()
|
||||
}
|
||||
return &AIProxyLibraryRequest{
|
||||
Model: request.Model,
|
||||
|
@@ -88,18 +88,18 @@ func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
|
||||
message := request.Messages[i]
|
||||
if message.Role == "system" {
|
||||
messages = append(messages, AliMessage{
|
||||
User: message.Content,
|
||||
User: message.StringContent(),
|
||||
Bot: "Okay",
|
||||
})
|
||||
continue
|
||||
} else {
|
||||
if i == len(request.Messages)-1 {
|
||||
prompt = message.Content
|
||||
prompt = message.StringContent()
|
||||
break
|
||||
}
|
||||
messages = append(messages, AliMessage{
|
||||
User: message.Content,
|
||||
Bot: request.Messages[i+1].Content,
|
||||
User: message.StringContent(),
|
||||
Bot: request.Messages[i+1].StringContent(),
|
||||
})
|
||||
i++
|
||||
}
|
||||
|
@@ -1,6 +1,7 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"context"
|
||||
"encoding/json"
|
||||
@@ -11,6 +12,7 @@ import (
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/model"
|
||||
"strings"
|
||||
)
|
||||
|
||||
func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
@@ -21,16 +23,41 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
channelId := c.GetInt("channel_id")
|
||||
userId := c.GetInt("id")
|
||||
group := c.GetString("group")
|
||||
tokenName := c.GetString("token_name")
|
||||
|
||||
var ttsRequest TextToSpeechRequest
|
||||
if relayMode == RelayModeAudioSpeech {
|
||||
// Read JSON
|
||||
err := common.UnmarshalBodyReusable(c, &ttsRequest)
|
||||
// Check if JSON is valid
|
||||
if err != nil {
|
||||
return errorWrapper(err, "invalid_json", http.StatusBadRequest)
|
||||
}
|
||||
audioModel = ttsRequest.Model
|
||||
// Check if text is too long 4096
|
||||
if len(ttsRequest.Input) > 4096 {
|
||||
return errorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
|
||||
}
|
||||
}
|
||||
|
||||
preConsumedTokens := common.PreConsumedQuota
|
||||
modelRatio := common.GetModelRatio(audioModel)
|
||||
groupRatio := common.GetGroupRatio(group)
|
||||
ratio := modelRatio * groupRatio
|
||||
preConsumedQuota := int(float64(preConsumedTokens) * ratio)
|
||||
var quota int
|
||||
var preConsumedQuota int
|
||||
switch relayMode {
|
||||
case RelayModeAudioSpeech:
|
||||
preConsumedQuota = int(float64(len(ttsRequest.Input)) * ratio)
|
||||
quota = preConsumedQuota
|
||||
default:
|
||||
preConsumedQuota = int(float64(common.PreConsumedQuota) * ratio)
|
||||
}
|
||||
userQuota, err := model.CacheGetUserQuota(userId)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
// Check if user quota is enough
|
||||
if userQuota-preConsumedQuota < 0 {
|
||||
return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
|
||||
}
|
||||
@@ -70,13 +97,34 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
}
|
||||
|
||||
fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
|
||||
requestBody := c.Request.Body
|
||||
if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
|
||||
// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
|
||||
apiVersion := GetAPIVersion(c)
|
||||
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, audioModel, apiVersion)
|
||||
}
|
||||
|
||||
requestBody := &bytes.Buffer{}
|
||||
_, err = io.Copy(requestBody, c.Request.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "new_request_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
c.Request.Body = io.NopCloser(bytes.NewBuffer(requestBody.Bytes()))
|
||||
responseFormat := c.DefaultPostForm("response_format", "json")
|
||||
|
||||
req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
|
||||
|
||||
if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
|
||||
// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
|
||||
apiKey := c.Request.Header.Get("Authorization")
|
||||
apiKey = strings.TrimPrefix(apiKey, "Bearer ")
|
||||
req.Header.Set("api-key", apiKey)
|
||||
req.ContentLength = c.Request.ContentLength
|
||||
} else {
|
||||
req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
|
||||
}
|
||||
req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
|
||||
req.Header.Set("Accept", c.Request.Header.Get("Accept"))
|
||||
|
||||
@@ -93,47 +141,65 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
var audioResponse AudioResponse
|
||||
|
||||
if relayMode != RelayModeAudioSpeech {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
var openAIErr TextResponse
|
||||
if err = json.Unmarshal(responseBody, &openAIErr); err == nil {
|
||||
if openAIErr.Error.Message != "" {
|
||||
return errorWrapper(fmt.Errorf("type %s, code %v, message %s", openAIErr.Error.Type, openAIErr.Error.Code, openAIErr.Error.Message), "request_error", http.StatusInternalServerError)
|
||||
}
|
||||
}
|
||||
|
||||
var text string
|
||||
switch responseFormat {
|
||||
case "json":
|
||||
text, err = getTextFromJSON(responseBody)
|
||||
case "text":
|
||||
text, err = getTextFromText(responseBody)
|
||||
case "srt":
|
||||
text, err = getTextFromSRT(responseBody)
|
||||
case "verbose_json":
|
||||
text, err = getTextFromVerboseJSON(responseBody)
|
||||
case "vtt":
|
||||
text, err = getTextFromVTT(responseBody)
|
||||
default:
|
||||
return errorWrapper(errors.New("unexpected_response_format"), "unexpected_response_format", http.StatusInternalServerError)
|
||||
}
|
||||
if err != nil {
|
||||
return errorWrapper(err, "get_text_from_body_err", http.StatusInternalServerError)
|
||||
}
|
||||
quota = countTokenText(text, audioModel)
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
}
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
if preConsumedQuota > 0 {
|
||||
// we need to roll back the pre-consumed quota
|
||||
defer func(ctx context.Context) {
|
||||
go func() {
|
||||
// negative means add quota back for token & user
|
||||
err := model.PostConsumeTokenQuota(tokenId, -preConsumedQuota)
|
||||
if err != nil {
|
||||
common.LogError(ctx, fmt.Sprintf("error rollback pre-consumed quota: %s", err.Error()))
|
||||
}
|
||||
}()
|
||||
}(c.Request.Context())
|
||||
}
|
||||
return relayErrorHandler(resp)
|
||||
}
|
||||
quotaDelta := quota - preConsumedQuota
|
||||
defer func(ctx context.Context) {
|
||||
go func() {
|
||||
quota := countTokenText(audioResponse.Text, audioModel)
|
||||
quotaDelta := quota - preConsumedQuota
|
||||
err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
|
||||
if err != nil {
|
||||
common.SysError("error consuming token remain quota: " + err.Error())
|
||||
}
|
||||
err = model.CacheUpdateUserQuota(userId)
|
||||
if err != nil {
|
||||
common.SysError("error update user quota cache: " + err.Error())
|
||||
}
|
||||
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, audioModel, tokenName, quota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
channelId := c.GetInt("channel_id")
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
}()
|
||||
go postConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
|
||||
}(c.Request.Context())
|
||||
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &audioResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
|
||||
for k, v := range resp.Header {
|
||||
c.Writer.Header().Set(k, v[0])
|
||||
}
|
||||
@@ -149,3 +215,48 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func getTextFromVTT(body []byte) (string, error) {
|
||||
return getTextFromSRT(body)
|
||||
}
|
||||
|
||||
func getTextFromVerboseJSON(body []byte) (string, error) {
|
||||
var whisperResponse WhisperVerboseJSONResponse
|
||||
if err := json.Unmarshal(body, &whisperResponse); err != nil {
|
||||
return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
|
||||
}
|
||||
return whisperResponse.Text, nil
|
||||
}
|
||||
|
||||
func getTextFromSRT(body []byte) (string, error) {
|
||||
scanner := bufio.NewScanner(strings.NewReader(string(body)))
|
||||
var builder strings.Builder
|
||||
var textLine bool
|
||||
for scanner.Scan() {
|
||||
line := scanner.Text()
|
||||
if textLine {
|
||||
builder.WriteString(line)
|
||||
textLine = false
|
||||
continue
|
||||
} else if strings.Contains(line, "-->") {
|
||||
textLine = true
|
||||
continue
|
||||
}
|
||||
}
|
||||
if err := scanner.Err(); err != nil {
|
||||
return "", err
|
||||
}
|
||||
return builder.String(), nil
|
||||
}
|
||||
|
||||
func getTextFromText(body []byte) (string, error) {
|
||||
return strings.TrimSuffix(string(body), "\n"), nil
|
||||
}
|
||||
|
||||
func getTextFromJSON(body []byte) (string, error) {
|
||||
var whisperResponse WhisperJSONResponse
|
||||
if err := json.Unmarshal(body, &whisperResponse); err != nil {
|
||||
return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
|
||||
}
|
||||
return whisperResponse.Text, nil
|
||||
}
|
||||
|
@@ -89,7 +89,7 @@ func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
|
||||
if message.Role == "system" {
|
||||
messages = append(messages, BaiduMessage{
|
||||
Role: "user",
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
})
|
||||
messages = append(messages, BaiduMessage{
|
||||
Role: "assistant",
|
||||
@@ -98,7 +98,7 @@ func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
|
||||
} else {
|
||||
messages = append(messages, BaiduMessage{
|
||||
Role: message.Role,
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
})
|
||||
}
|
||||
}
|
||||
|
@@ -70,7 +70,9 @@ func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest {
|
||||
} else if message.Role == "assistant" {
|
||||
prompt += fmt.Sprintf("\n\nAssistant: %s", message.Content)
|
||||
} else if message.Role == "system" {
|
||||
prompt += fmt.Sprintf("\n\nSystem: %s", message.Content)
|
||||
if prompt == "" {
|
||||
prompt = message.StringContent()
|
||||
}
|
||||
}
|
||||
}
|
||||
prompt += "\n\nAssistant:"
|
||||
|
@@ -6,44 +6,80 @@ import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/model"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
func isWithinRange(element string, value int) bool {
|
||||
if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
|
||||
return false
|
||||
}
|
||||
|
||||
min := common.DalleGenerationImageAmounts[element][0]
|
||||
max := common.DalleGenerationImageAmounts[element][1]
|
||||
|
||||
return value >= min && value <= max
|
||||
}
|
||||
|
||||
func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
imageModel := "dall-e"
|
||||
imageModel := "dall-e-2"
|
||||
imageSize := "1024x1024"
|
||||
|
||||
tokenId := c.GetInt("token_id")
|
||||
channelType := c.GetInt("channel")
|
||||
channelId := c.GetInt("channel_id")
|
||||
userId := c.GetInt("id")
|
||||
consumeQuota := c.GetBool("consume_quota")
|
||||
group := c.GetString("group")
|
||||
|
||||
var imageRequest ImageRequest
|
||||
if consumeQuota {
|
||||
err := common.UnmarshalBodyReusable(c, &imageRequest)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
|
||||
err := common.UnmarshalBodyReusable(c, &imageRequest)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// 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 errorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// Prompt validation
|
||||
if imageRequest.Prompt == "" {
|
||||
return errorWrapper(errors.New("prompt is required"), "required_field_missing", http.StatusBadRequest)
|
||||
return errorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// Not "256x256", "512x512", or "1024x1024"
|
||||
if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
|
||||
return errorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024"), "invalid_field_value", http.StatusBadRequest)
|
||||
// Check prompt length
|
||||
if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
|
||||
return errorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// N should between 1 and 10
|
||||
if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
|
||||
return errorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
|
||||
// Number of generated images validation
|
||||
if isWithinRange(imageModel, imageRequest.N) == false {
|
||||
return errorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// map model name
|
||||
@@ -66,8 +102,15 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
baseURL = c.GetString("base_url")
|
||||
}
|
||||
fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
|
||||
if channelType == common.ChannelTypeAzure && relayMode == RelayModeImagesGenerations {
|
||||
// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
|
||||
apiVersion := GetAPIVersion(c)
|
||||
// https://{resource_name}.openai.azure.com/openai/deployments/dall-e-3/images/generations?api-version=2023-06-01-preview
|
||||
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", baseURL, imageModel, apiVersion)
|
||||
}
|
||||
|
||||
var requestBody io.Reader
|
||||
if isModelMapped {
|
||||
if isModelMapped || channelType == common.ChannelTypeAzure { // make Azure channel request body
|
||||
jsonStr, err := json.Marshal(imageRequest)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
||||
@@ -82,18 +125,9 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
ratio := modelRatio * groupRatio
|
||||
userQuota, err := model.CacheGetUserQuota(userId)
|
||||
|
||||
sizeRatio := 1.0
|
||||
// Size
|
||||
if imageRequest.Size == "256x256" {
|
||||
sizeRatio = 1
|
||||
} else if imageRequest.Size == "512x512" {
|
||||
sizeRatio = 1.125
|
||||
} else if imageRequest.Size == "1024x1024" {
|
||||
sizeRatio = 1.25
|
||||
}
|
||||
quota := int(ratio*sizeRatio*1000) * imageRequest.N
|
||||
quota := int(ratio*imageCostRatio*1000) * imageRequest.N
|
||||
|
||||
if consumeQuota && userQuota-quota < 0 {
|
||||
if userQuota-quota < 0 {
|
||||
return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
|
||||
}
|
||||
|
||||
@@ -101,7 +135,13 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
if err != nil {
|
||||
return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
|
||||
token := c.Request.Header.Get("Authorization")
|
||||
if channelType == common.ChannelTypeAzure { // Azure authentication
|
||||
token = strings.TrimPrefix(token, "Bearer ")
|
||||
req.Header.Set("api-key", token)
|
||||
} else {
|
||||
req.Header.Set("Authorization", token)
|
||||
}
|
||||
|
||||
req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
|
||||
req.Header.Set("Accept", c.Request.Header.Get("Accept"))
|
||||
@@ -122,43 +162,39 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
var textResponse ImageResponse
|
||||
|
||||
defer func(ctx context.Context) {
|
||||
if consumeQuota {
|
||||
err := model.PostConsumeTokenQuota(tokenId, quota)
|
||||
if err != nil {
|
||||
common.SysError("error consuming token remain quota: " + err.Error())
|
||||
}
|
||||
err = model.CacheUpdateUserQuota(userId)
|
||||
if err != nil {
|
||||
common.SysError("error update user quota cache: " + err.Error())
|
||||
}
|
||||
if quota != 0 {
|
||||
tokenName := c.GetString("token_name")
|
||||
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
||||
model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
channelId := c.GetInt("channel_id")
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
err := model.PostConsumeTokenQuota(tokenId, quota)
|
||||
if err != nil {
|
||||
common.SysError("error consuming token remain quota: " + err.Error())
|
||||
}
|
||||
err = model.CacheUpdateUserQuota(userId)
|
||||
if err != nil {
|
||||
common.SysError("error update user quota cache: " + err.Error())
|
||||
}
|
||||
if quota != 0 {
|
||||
tokenName := c.GetString("token_name")
|
||||
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
||||
model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
channelId := c.GetInt("channel_id")
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
}(c.Request.Context())
|
||||
|
||||
if consumeQuota {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
|
||||
for k, v := range resp.Header {
|
||||
c.Writer.Header().Set(k, v[0])
|
||||
|
@@ -88,30 +88,29 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
|
||||
return nil, responseText
|
||||
}
|
||||
|
||||
func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
func openaiHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
var textResponse TextResponse
|
||||
if consumeQuota {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if textResponse.Error.Type != "" {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: textResponse.Error,
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
// Reset response body
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if textResponse.Error.Type != "" {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: textResponse.Error,
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
// Reset response body
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
|
||||
// We shouldn't set the header before we parse the response body, because the parse part may fail.
|
||||
// And then we will have to send an error response, but in this case, the header has already been set.
|
||||
// So the httpClient will be confused by the response.
|
||||
@@ -120,7 +119,7 @@ func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promp
|
||||
c.Writer.Header().Set(k, v[0])
|
||||
}
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err := io.Copy(c.Writer, resp.Body)
|
||||
_, err = io.Copy(c.Writer, resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
@@ -132,7 +131,7 @@ func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promp
|
||||
if textResponse.Usage.TotalTokens == 0 {
|
||||
completionTokens := 0
|
||||
for _, choice := range textResponse.Choices {
|
||||
completionTokens += countTokenText(choice.Message.Content, model)
|
||||
completionTokens += countTokenText(choice.Message.StringContent(), model)
|
||||
}
|
||||
textResponse.Usage = Usage{
|
||||
PromptTokens: promptTokens,
|
||||
|
@@ -59,7 +59,7 @@ func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
|
||||
}
|
||||
for _, message := range textRequest.Messages {
|
||||
palmMessage := PaLMChatMessage{
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
}
|
||||
if message.Role == "user" {
|
||||
palmMessage.Author = "0"
|
||||
|
@@ -84,7 +84,7 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
|
||||
if message.Role == "system" {
|
||||
messages = append(messages, TencentMessage{
|
||||
Role: "user",
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
})
|
||||
messages = append(messages, TencentMessage{
|
||||
Role: "assistant",
|
||||
@@ -93,7 +93,7 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
|
||||
continue
|
||||
}
|
||||
messages = append(messages, TencentMessage{
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
Role: message.Role,
|
||||
})
|
||||
}
|
||||
|
@@ -51,14 +51,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
channelId := c.GetInt("channel_id")
|
||||
tokenId := c.GetInt("token_id")
|
||||
userId := c.GetInt("id")
|
||||
consumeQuota := c.GetBool("consume_quota")
|
||||
group := c.GetString("group")
|
||||
var textRequest GeneralOpenAIRequest
|
||||
if consumeQuota || channelType == common.ChannelTypeAzure || channelType == common.ChannelTypePaLM {
|
||||
err := common.UnmarshalBodyReusable(c, &textRequest)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
|
||||
}
|
||||
err := common.UnmarshalBodyReusable(c, &textRequest)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
|
||||
}
|
||||
if relayMode == RelayModeModerations && textRequest.Model == "" {
|
||||
textRequest.Model = "text-moderation-latest"
|
||||
@@ -132,11 +129,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
case APITypeOpenAI:
|
||||
if channelType == common.ChannelTypeAzure {
|
||||
// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api
|
||||
query := c.Request.URL.Query()
|
||||
apiVersion := query.Get("api-version")
|
||||
if apiVersion == "" {
|
||||
apiVersion = c.GetString("api_version")
|
||||
}
|
||||
apiVersion := GetAPIVersion(c)
|
||||
requestURL := strings.Split(requestURL, "?")[0]
|
||||
requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion)
|
||||
baseURL = c.GetString("base_url")
|
||||
@@ -147,7 +140,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
model_ = strings.TrimSuffix(model_, "-0301")
|
||||
model_ = strings.TrimSuffix(model_, "-0314")
|
||||
model_ = strings.TrimSuffix(model_, "-0613")
|
||||
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task)
|
||||
|
||||
requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
|
||||
fullRequestURL = getFullRequestURL(baseURL, requestURL, channelType)
|
||||
}
|
||||
case APITypeClaude:
|
||||
fullRequestURL = "https://api.anthropic.com/v1/complete"
|
||||
@@ -233,7 +228,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
preConsumedQuota = 0
|
||||
common.LogInfo(c.Request.Context(), fmt.Sprintf("user %d has enough quota %d, trusted and no need to pre-consume", userId, userQuota))
|
||||
}
|
||||
if consumeQuota && preConsumedQuota > 0 {
|
||||
if preConsumedQuota > 0 {
|
||||
err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
|
||||
@@ -365,8 +360,13 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if textRequest.Stream {
|
||||
req.Header.Set("X-DashScope-SSE", "enable")
|
||||
}
|
||||
if c.GetString("plugin") != "" {
|
||||
req.Header.Set("X-DashScope-Plugin", c.GetString("plugin"))
|
||||
}
|
||||
case APITypeTencent:
|
||||
req.Header.Set("Authorization", apiKey)
|
||||
case APITypePaLM:
|
||||
// do not set Authorization header
|
||||
default:
|
||||
req.Header.Set("Authorization", "Bearer "+apiKey)
|
||||
}
|
||||
@@ -410,37 +410,36 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
defer func(ctx context.Context) {
|
||||
// c.Writer.Flush()
|
||||
go func() {
|
||||
if consumeQuota {
|
||||
quota := 0
|
||||
completionRatio := common.GetCompletionRatio(textRequest.Model)
|
||||
promptTokens = textResponse.Usage.PromptTokens
|
||||
completionTokens = textResponse.Usage.CompletionTokens
|
||||
quota = int(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))
|
||||
if ratio != 0 && quota <= 0 {
|
||||
quota = 1
|
||||
}
|
||||
totalTokens := promptTokens + completionTokens
|
||||
if totalTokens == 0 {
|
||||
// in this case, must be some error happened
|
||||
// we cannot just return, because we may have to return the pre-consumed quota
|
||||
quota = 0
|
||||
}
|
||||
quotaDelta := quota - preConsumedQuota
|
||||
err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
|
||||
if err != nil {
|
||||
common.LogError(ctx, "error consuming token remain quota: "+err.Error())
|
||||
}
|
||||
err = model.CacheUpdateUserQuota(userId)
|
||||
if err != nil {
|
||||
common.LogError(ctx, "error update user quota cache: "+err.Error())
|
||||
}
|
||||
if quota != 0 {
|
||||
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
||||
model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
quota := 0
|
||||
completionRatio := common.GetCompletionRatio(textRequest.Model)
|
||||
promptTokens = textResponse.Usage.PromptTokens
|
||||
completionTokens = textResponse.Usage.CompletionTokens
|
||||
quota = int(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))
|
||||
if ratio != 0 && quota <= 0 {
|
||||
quota = 1
|
||||
}
|
||||
totalTokens := promptTokens + completionTokens
|
||||
if totalTokens == 0 {
|
||||
// in this case, must be some error happened
|
||||
// we cannot just return, because we may have to return the pre-consumed quota
|
||||
quota = 0
|
||||
}
|
||||
quotaDelta := quota - preConsumedQuota
|
||||
err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
|
||||
if err != nil {
|
||||
common.LogError(ctx, "error consuming token remain quota: "+err.Error())
|
||||
}
|
||||
err = model.CacheUpdateUserQuota(userId)
|
||||
if err != nil {
|
||||
common.LogError(ctx, "error update user quota cache: "+err.Error())
|
||||
}
|
||||
if quota != 0 {
|
||||
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
||||
model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
|
||||
}()
|
||||
}(c.Request.Context())
|
||||
switch apiType {
|
||||
@@ -454,7 +453,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := openaiHandler(c, resp, consumeQuota, promptTokens, textRequest.Model)
|
||||
err, usage := openaiHandler(c, resp, promptTokens, textRequest.Model)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
@@ -1,15 +1,21 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/pkoukk/tiktoken-go"
|
||||
"io"
|
||||
"math"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/common/image"
|
||||
"one-api/model"
|
||||
"strconv"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/pkoukk/tiktoken-go"
|
||||
)
|
||||
|
||||
var stopFinishReason = "stop"
|
||||
@@ -84,7 +90,33 @@ func countTokenMessages(messages []Message, model string) int {
|
||||
tokenNum := 0
|
||||
for _, message := range messages {
|
||||
tokenNum += tokensPerMessage
|
||||
tokenNum += getTokenNum(tokenEncoder, message.Content)
|
||||
switch v := message.Content.(type) {
|
||||
case string:
|
||||
tokenNum += getTokenNum(tokenEncoder, v)
|
||||
case []any:
|
||||
for _, it := range v {
|
||||
m := it.(map[string]any)
|
||||
switch m["type"] {
|
||||
case "text":
|
||||
tokenNum += getTokenNum(tokenEncoder, m["text"].(string))
|
||||
case "image_url":
|
||||
imageUrl, ok := m["image_url"].(map[string]any)
|
||||
if ok {
|
||||
url := imageUrl["url"].(string)
|
||||
detail := ""
|
||||
if imageUrl["detail"] != nil {
|
||||
detail = imageUrl["detail"].(string)
|
||||
}
|
||||
imageTokens, err := countImageTokens(url, detail)
|
||||
if err != nil {
|
||||
common.SysError("error counting image tokens: " + err.Error())
|
||||
} else {
|
||||
tokenNum += imageTokens
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
tokenNum += getTokenNum(tokenEncoder, message.Role)
|
||||
if message.Name != nil {
|
||||
tokenNum += tokensPerName
|
||||
@@ -95,13 +127,81 @@ func countTokenMessages(messages []Message, model string) int {
|
||||
return tokenNum
|
||||
}
|
||||
|
||||
const (
|
||||
lowDetailCost = 85
|
||||
highDetailCostPerTile = 170
|
||||
additionalCost = 85
|
||||
)
|
||||
|
||||
// https://platform.openai.com/docs/guides/vision/calculating-costs
|
||||
// https://github.com/openai/openai-cookbook/blob/05e3f9be4c7a2ae7ecf029a7c32065b024730ebe/examples/How_to_count_tokens_with_tiktoken.ipynb
|
||||
func countImageTokens(url string, detail string) (_ int, err error) {
|
||||
var fetchSize = true
|
||||
var width, height int
|
||||
// Reference: https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding
|
||||
// detail == "auto" is undocumented on how it works, it just said the model will use the auto setting which will look at the image input size and decide if it should use the low or high setting.
|
||||
// According to the official guide, "low" disable the high-res model,
|
||||
// and only receive low-res 512px x 512px version of the image, indicating
|
||||
// that image is treated as low-res when size is smaller than 512px x 512px,
|
||||
// then we can assume that image size larger than 512px x 512px is treated
|
||||
// as high-res. Then we have the following logic:
|
||||
// if detail == "" || detail == "auto" {
|
||||
// width, height, err = image.GetImageSize(url)
|
||||
// if err != nil {
|
||||
// return 0, err
|
||||
// }
|
||||
// fetchSize = false
|
||||
// // not sure if this is correct
|
||||
// if width > 512 || height > 512 {
|
||||
// detail = "high"
|
||||
// } else {
|
||||
// detail = "low"
|
||||
// }
|
||||
// }
|
||||
|
||||
// However, in my test, it seems to be always the same as "high".
|
||||
// The following image, which is 125x50, is still treated as high-res, taken
|
||||
// 255 tokens in the response of non-stream chat completion api.
|
||||
// https://upload.wikimedia.org/wikipedia/commons/1/10/18_Infantry_Division_Messina.jpg
|
||||
if detail == "" || detail == "auto" {
|
||||
// assume by test, not sure if this is correct
|
||||
detail = "high"
|
||||
}
|
||||
switch detail {
|
||||
case "low":
|
||||
return lowDetailCost, nil
|
||||
case "high":
|
||||
if fetchSize {
|
||||
width, height, err = image.GetImageSize(url)
|
||||
if err != nil {
|
||||
return 0, err
|
||||
}
|
||||
}
|
||||
if width > 2048 || height > 2048 { // max(width, height) > 2048
|
||||
ratio := float64(2048) / math.Max(float64(width), float64(height))
|
||||
width = int(float64(width) * ratio)
|
||||
height = int(float64(height) * ratio)
|
||||
}
|
||||
if width > 768 && height > 768 { // min(width, height) > 768
|
||||
ratio := float64(768) / math.Min(float64(width), float64(height))
|
||||
width = int(float64(width) * ratio)
|
||||
height = int(float64(height) * ratio)
|
||||
}
|
||||
numSquares := int(math.Ceil(float64(width)/512) * math.Ceil(float64(height)/512))
|
||||
result := numSquares*highDetailCostPerTile + additionalCost
|
||||
return result, nil
|
||||
default:
|
||||
return 0, errors.New("invalid detail option")
|
||||
}
|
||||
}
|
||||
|
||||
func countTokenInput(input any, model string) int {
|
||||
switch input.(type) {
|
||||
switch v := input.(type) {
|
||||
case string:
|
||||
return countTokenText(input.(string), model)
|
||||
return countTokenText(v, model)
|
||||
case []string:
|
||||
text := ""
|
||||
for _, s := range input.([]string) {
|
||||
for _, s := range v {
|
||||
text += s
|
||||
}
|
||||
return countTokenText(text, model)
|
||||
@@ -142,6 +242,19 @@ func shouldDisableChannel(err *OpenAIError, statusCode int) bool {
|
||||
return false
|
||||
}
|
||||
|
||||
func shouldEnableChannel(err error, openAIErr *OpenAIError) bool {
|
||||
if !common.AutomaticEnableChannelEnabled {
|
||||
return false
|
||||
}
|
||||
if err != nil {
|
||||
return false
|
||||
}
|
||||
if openAIErr != nil {
|
||||
return false
|
||||
}
|
||||
return true
|
||||
}
|
||||
|
||||
func setEventStreamHeaders(c *gin.Context) {
|
||||
c.Writer.Header().Set("Content-Type", "text/event-stream")
|
||||
c.Writer.Header().Set("Cache-Control", "no-cache")
|
||||
@@ -179,10 +292,45 @@ func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIEr
|
||||
|
||||
func getFullRequestURL(baseURL string, requestURL string, channelType int) string {
|
||||
fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
|
||||
if channelType == common.ChannelTypeOpenAI {
|
||||
if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
|
||||
|
||||
if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
|
||||
switch channelType {
|
||||
case common.ChannelTypeOpenAI:
|
||||
fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/v1"))
|
||||
case common.ChannelTypeAzure:
|
||||
fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/openai/deployments"))
|
||||
}
|
||||
}
|
||||
return fullRequestURL
|
||||
}
|
||||
|
||||
func postConsumeQuota(ctx context.Context, tokenId int, quotaDelta int, totalQuota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
|
||||
// quotaDelta is remaining quota to be consumed
|
||||
err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
|
||||
if err != nil {
|
||||
common.SysError("error consuming token remain quota: " + err.Error())
|
||||
}
|
||||
err = model.CacheUpdateUserQuota(userId)
|
||||
if err != nil {
|
||||
common.SysError("error update user quota cache: " + err.Error())
|
||||
}
|
||||
// totalQuota is total quota consumed
|
||||
if totalQuota != 0 {
|
||||
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
||||
model.RecordConsumeLog(ctx, userId, channelId, totalQuota, 0, modelName, tokenName, totalQuota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, totalQuota)
|
||||
model.UpdateChannelUsedQuota(channelId, totalQuota)
|
||||
}
|
||||
if totalQuota <= 0 {
|
||||
common.LogError(ctx, fmt.Sprintf("totalQuota consumed is %d, something is wrong", totalQuota))
|
||||
}
|
||||
}
|
||||
|
||||
func GetAPIVersion(c *gin.Context) string {
|
||||
query := c.Request.URL.Query()
|
||||
apiVersion := query.Get("api-version")
|
||||
if apiVersion == "" {
|
||||
apiVersion = c.GetString("api_version")
|
||||
}
|
||||
return apiVersion
|
||||
}
|
||||
|
@@ -81,7 +81,7 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, doma
|
||||
if message.Role == "system" {
|
||||
messages = append(messages, XunfeiMessage{
|
||||
Role: "user",
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
})
|
||||
messages = append(messages, XunfeiMessage{
|
||||
Role: "assistant",
|
||||
@@ -90,7 +90,7 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, doma
|
||||
} else {
|
||||
messages = append(messages, XunfeiMessage{
|
||||
Role: message.Role,
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
})
|
||||
}
|
||||
}
|
||||
|
@@ -114,7 +114,7 @@ func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
|
||||
if message.Role == "system" {
|
||||
messages = append(messages, ZhipuMessage{
|
||||
Role: "system",
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
})
|
||||
messages = append(messages, ZhipuMessage{
|
||||
Role: "user",
|
||||
@@ -123,7 +123,7 @@ func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
|
||||
} else {
|
||||
messages = append(messages, ZhipuMessage{
|
||||
Role: message.Role,
|
||||
Content: message.Content,
|
||||
Content: message.StringContent(),
|
||||
})
|
||||
}
|
||||
}
|
||||
|
@@ -12,10 +12,49 @@ import (
|
||||
|
||||
type Message struct {
|
||||
Role string `json:"role"`
|
||||
Content string `json:"content"`
|
||||
Content any `json:"content"`
|
||||
Name *string `json:"name,omitempty"`
|
||||
}
|
||||
|
||||
type ImageURL struct {
|
||||
Url string `json:"url,omitempty"`
|
||||
Detail string `json:"detail,omitempty"`
|
||||
}
|
||||
|
||||
type TextContent struct {
|
||||
Type string `json:"type,omitempty"`
|
||||
Text string `json:"text,omitempty"`
|
||||
}
|
||||
|
||||
type ImageContent struct {
|
||||
Type string `json:"type,omitempty"`
|
||||
ImageURL *ImageURL `json:"image_url,omitempty"`
|
||||
}
|
||||
|
||||
func (m Message) StringContent() string {
|
||||
content, ok := m.Content.(string)
|
||||
if ok {
|
||||
return content
|
||||
}
|
||||
contentList, ok := m.Content.([]any)
|
||||
if ok {
|
||||
var contentStr string
|
||||
for _, contentItem := range contentList {
|
||||
contentMap, ok := contentItem.(map[string]any)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
if contentMap["type"] == "text" {
|
||||
if subStr, ok := contentMap["text"].(string); ok {
|
||||
contentStr += subStr
|
||||
}
|
||||
}
|
||||
}
|
||||
return contentStr
|
||||
}
|
||||
return ""
|
||||
}
|
||||
|
||||
const (
|
||||
RelayModeUnknown = iota
|
||||
RelayModeChatCompletions
|
||||
@@ -24,24 +63,37 @@ const (
|
||||
RelayModeModerations
|
||||
RelayModeImagesGenerations
|
||||
RelayModeEdits
|
||||
RelayModeAudio
|
||||
RelayModeAudioSpeech
|
||||
RelayModeAudioTranscription
|
||||
RelayModeAudioTranslation
|
||||
)
|
||||
|
||||
// https://platform.openai.com/docs/api-reference/chat
|
||||
|
||||
type ResponseFormat struct {
|
||||
Type string `json:"type,omitempty"`
|
||||
}
|
||||
|
||||
type GeneralOpenAIRequest struct {
|
||||
Model string `json:"model,omitempty"`
|
||||
Messages []Message `json:"messages,omitempty"`
|
||||
Prompt any `json:"prompt,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
N int `json:"n,omitempty"`
|
||||
Input any `json:"input,omitempty"`
|
||||
Instruction string `json:"instruction,omitempty"`
|
||||
Size string `json:"size,omitempty"`
|
||||
Functions any `json:"functions,omitempty"`
|
||||
Model string `json:"model,omitempty"`
|
||||
Messages []Message `json:"messages,omitempty"`
|
||||
Prompt any `json:"prompt,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
N int `json:"n,omitempty"`
|
||||
Input any `json:"input,omitempty"`
|
||||
Instruction string `json:"instruction,omitempty"`
|
||||
Size string `json:"size,omitempty"`
|
||||
Functions any `json:"functions,omitempty"`
|
||||
FrequencyPenalty float64 `json:"frequency_penalty,omitempty"`
|
||||
PresencePenalty float64 `json:"presence_penalty,omitempty"`
|
||||
ResponseFormat *ResponseFormat `json:"response_format,omitempty"`
|
||||
Seed float64 `json:"seed,omitempty"`
|
||||
Tools any `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
User string `json:"user,omitempty"`
|
||||
}
|
||||
|
||||
func (r GeneralOpenAIRequest) ParseInput() []string {
|
||||
@@ -77,16 +129,51 @@ type TextRequest struct {
|
||||
//Stream bool `json:"stream"`
|
||||
}
|
||||
|
||||
// ImageRequest docs: https://platform.openai.com/docs/api-reference/images/create
|
||||
type ImageRequest struct {
|
||||
Prompt string `json:"prompt"`
|
||||
N int `json:"n"`
|
||||
Size string `json:"size"`
|
||||
Model string `json:"model"`
|
||||
Prompt string `json:"prompt" binding:"required"`
|
||||
N int `json:"n,omitempty"`
|
||||
Size string `json:"size,omitempty"`
|
||||
Quality string `json:"quality,omitempty"`
|
||||
ResponseFormat string `json:"response_format,omitempty"`
|
||||
Style string `json:"style,omitempty"`
|
||||
User string `json:"user,omitempty"`
|
||||
}
|
||||
|
||||
type AudioResponse struct {
|
||||
type WhisperJSONResponse struct {
|
||||
Text string `json:"text,omitempty"`
|
||||
}
|
||||
|
||||
type WhisperVerboseJSONResponse struct {
|
||||
Task string `json:"task,omitempty"`
|
||||
Language string `json:"language,omitempty"`
|
||||
Duration float64 `json:"duration,omitempty"`
|
||||
Text string `json:"text,omitempty"`
|
||||
Segments []Segment `json:"segments,omitempty"`
|
||||
}
|
||||
|
||||
type Segment struct {
|
||||
Id int `json:"id"`
|
||||
Seek int `json:"seek"`
|
||||
Start float64 `json:"start"`
|
||||
End float64 `json:"end"`
|
||||
Text string `json:"text"`
|
||||
Tokens []int `json:"tokens"`
|
||||
Temperature float64 `json:"temperature"`
|
||||
AvgLogprob float64 `json:"avg_logprob"`
|
||||
CompressionRatio float64 `json:"compression_ratio"`
|
||||
NoSpeechProb float64 `json:"no_speech_prob"`
|
||||
}
|
||||
|
||||
type TextToSpeechRequest struct {
|
||||
Model string `json:"model" binding:"required"`
|
||||
Input string `json:"input" binding:"required"`
|
||||
Voice string `json:"voice" binding:"required"`
|
||||
Speed float64 `json:"speed"`
|
||||
ResponseFormat string `json:"response_format"`
|
||||
}
|
||||
|
||||
type Usage struct {
|
||||
PromptTokens int `json:"prompt_tokens"`
|
||||
CompletionTokens int `json:"completion_tokens"`
|
||||
@@ -183,14 +270,22 @@ func Relay(c *gin.Context) {
|
||||
relayMode = RelayModeImagesGenerations
|
||||
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/edits") {
|
||||
relayMode = RelayModeEdits
|
||||
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
|
||||
relayMode = RelayModeAudio
|
||||
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/speech") {
|
||||
relayMode = RelayModeAudioSpeech
|
||||
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
|
||||
relayMode = RelayModeAudioTranscription
|
||||
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
|
||||
relayMode = RelayModeAudioTranslation
|
||||
}
|
||||
var err *OpenAIErrorWithStatusCode
|
||||
switch relayMode {
|
||||
case RelayModeImagesGenerations:
|
||||
err = relayImageHelper(c, relayMode)
|
||||
case RelayModeAudio:
|
||||
case RelayModeAudioSpeech:
|
||||
fallthrough
|
||||
case RelayModeAudioTranslation:
|
||||
fallthrough
|
||||
case RelayModeAudioTranscription:
|
||||
err = relayAudioHelper(c, relayMode)
|
||||
default:
|
||||
err = relayTextHelper(c, relayMode)
|
||||
|
6
go.mod
6
go.mod
@@ -15,7 +15,9 @@ require (
|
||||
github.com/google/uuid v1.3.0
|
||||
github.com/gorilla/websocket v1.5.0
|
||||
github.com/pkoukk/tiktoken-go v0.1.5
|
||||
github.com/stretchr/testify v1.8.3
|
||||
golang.org/x/crypto v0.14.0
|
||||
golang.org/x/image v0.14.0
|
||||
gorm.io/driver/mysql v1.4.3
|
||||
gorm.io/driver/postgres v1.5.2
|
||||
gorm.io/driver/sqlite v1.4.3
|
||||
@@ -26,6 +28,7 @@ require (
|
||||
github.com/bytedance/sonic v1.9.1 // indirect
|
||||
github.com/cespare/xxhash/v2 v2.1.2 // indirect
|
||||
github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 // indirect
|
||||
github.com/davecgh/go-spew v1.1.1 // indirect
|
||||
github.com/dgryski/go-rendezvous v0.0.0-20200823014737-9f7001d12a5f // indirect
|
||||
github.com/dlclark/regexp2 v1.10.0 // indirect
|
||||
github.com/gabriel-vasile/mimetype v1.4.2 // indirect
|
||||
@@ -50,12 +53,13 @@ require (
|
||||
github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
|
||||
github.com/modern-go/reflect2 v1.0.2 // indirect
|
||||
github.com/pelletier/go-toml/v2 v2.0.8 // indirect
|
||||
github.com/pmezard/go-difflib v1.0.0 // indirect
|
||||
github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
|
||||
github.com/ugorji/go/codec v1.2.11 // indirect
|
||||
golang.org/x/arch v0.3.0 // indirect
|
||||
golang.org/x/net v0.17.0 // indirect
|
||||
golang.org/x/sys v0.13.0 // indirect
|
||||
golang.org/x/text v0.13.0 // indirect
|
||||
golang.org/x/text v0.14.0 // indirect
|
||||
google.golang.org/protobuf v1.30.0 // indirect
|
||||
gopkg.in/yaml.v3 v3.0.1 // indirect
|
||||
)
|
||||
|
6
go.sum
6
go.sum
@@ -152,6 +152,8 @@ golang.org/x/arch v0.3.0/go.mod h1:5om86z9Hs0C8fWVUuoMHwpExlXzs5Tkyp9hOrfG7pp8=
|
||||
golang.org/x/crypto v0.0.0-20210711020723-a769d52b0f97/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc=
|
||||
golang.org/x/crypto v0.14.0 h1:wBqGXzWJW6m1XrIKlAH0Hs1JJ7+9KBwnIO8v66Q9cHc=
|
||||
golang.org/x/crypto v0.14.0/go.mod h1:MVFd36DqK4CsrnJYDkBA3VC4m2GkXAM0PvzMCn4JQf4=
|
||||
golang.org/x/image v0.14.0 h1:tNgSxAFe3jC4uYqvZdTr84SZoM1KfwdC9SKIFrLjFn4=
|
||||
golang.org/x/image v0.14.0/go.mod h1:HUYqC05R2ZcZ3ejNQsIHQDQiwWM4JBqmm6MKANTp4LE=
|
||||
golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
|
||||
golang.org/x/net v0.17.0 h1:pVaXccu2ozPjCXewfr1S7xza/zcXTity9cCdXQYSjIM=
|
||||
golang.org/x/net v0.17.0/go.mod h1:NxSsAGuq816PNPmqtQdLE42eU2Fs7NoRIZrHJAlaCOE=
|
||||
@@ -168,8 +170,8 @@ golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9sn
|
||||
golang.org/x/text v0.3.2/go.mod h1:bEr9sfX3Q8Zfm5fL9x+3itogRgK3+ptLWKqgva+5dAk=
|
||||
golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
|
||||
golang.org/x/text v0.3.6/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
|
||||
golang.org/x/text v0.13.0 h1:ablQoSUd0tRdKxZewP80B+BaqeKJuVhuRxj/dkrun3k=
|
||||
golang.org/x/text v0.13.0/go.mod h1:TvPlkZtksWOMsz7fbANvkp4WM8x/WCo/om8BMLbz+aE=
|
||||
golang.org/x/text v0.14.0 h1:ScX5w1eTa3QqT8oi6+ziP7dTV1S2+ALU0bI+0zXKWiQ=
|
||||
golang.org/x/text v0.14.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
|
||||
golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
|
||||
golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543 h1:E7g+9GITq07hpfrRu66IVDexMakfv52eLZ2CXBWiKr4=
|
||||
golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
|
||||
|
@@ -119,6 +119,7 @@
|
||||
" 年 ": " y ",
|
||||
"未测试": "Not tested",
|
||||
"通道 ${name} 测试成功,耗时 ${time.toFixed(2)} 秒。": "Channel ${name} test succeeded, time consumed ${time.toFixed(2)} s.",
|
||||
"已成功开始测试所有通道,请刷新页面查看结果。": "All channels have been successfully tested, please refresh the page to view the results.",
|
||||
"已成功开始测试所有已启用通道,请刷新页面查看结果。": "All enabled channels have been successfully tested, please refresh the page to view the results.",
|
||||
"通道 ${name} 余额更新成功!": "Channel ${name} balance updated successfully!",
|
||||
"已更新完毕所有已启用通道余额!": "The balance of all enabled channels has been updated!",
|
||||
@@ -139,6 +140,7 @@
|
||||
"启用": "Enable",
|
||||
"编辑": "Edit",
|
||||
"添加新的渠道": "Add a new channel",
|
||||
"测试所有通道": "Test all channels",
|
||||
"测试所有已启用通道": "Test all enabled channels",
|
||||
"更新所有已启用通道余额": "Update the balance of all enabled channels",
|
||||
"刷新": "Refresh",
|
||||
|
@@ -106,12 +106,6 @@ func TokenAuth() func(c *gin.Context) {
|
||||
c.Set("id", token.UserId)
|
||||
c.Set("token_id", token.Id)
|
||||
c.Set("token_name", token.Name)
|
||||
requestURL := c.Request.URL.String()
|
||||
consumeQuota := true
|
||||
if strings.HasPrefix(requestURL, "/v1/models") {
|
||||
consumeQuota = false
|
||||
}
|
||||
c.Set("consume_quota", consumeQuota)
|
||||
if len(parts) > 1 {
|
||||
if model.IsAdmin(token.UserId) {
|
||||
c.Set("channelId", parts[1])
|
||||
|
@@ -40,10 +40,7 @@ func Distribute() func(c *gin.Context) {
|
||||
} else {
|
||||
// Select a channel for the user
|
||||
var modelRequest ModelRequest
|
||||
var err error
|
||||
if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
|
||||
err = common.UnmarshalBodyReusable(c, &modelRequest)
|
||||
}
|
||||
err := common.UnmarshalBodyReusable(c, &modelRequest)
|
||||
if err != nil {
|
||||
abortWithMessage(c, http.StatusBadRequest, "无效的请求")
|
||||
return
|
||||
@@ -60,10 +57,10 @@ func Distribute() func(c *gin.Context) {
|
||||
}
|
||||
if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
|
||||
if modelRequest.Model == "" {
|
||||
modelRequest.Model = "dall-e"
|
||||
modelRequest.Model = "dall-e-2"
|
||||
}
|
||||
}
|
||||
if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
|
||||
if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") || strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
|
||||
if modelRequest.Model == "" {
|
||||
modelRequest.Model = "whisper-1"
|
||||
}
|
||||
@@ -92,6 +89,8 @@ func Distribute() func(c *gin.Context) {
|
||||
c.Set("api_version", channel.Other)
|
||||
case common.ChannelTypeAIProxyLibrary:
|
||||
c.Set("library_id", channel.Other)
|
||||
case common.ChannelTypeAli:
|
||||
c.Set("plugin", channel.Other)
|
||||
}
|
||||
c.Next()
|
||||
}
|
||||
|
26
middleware/recover.go
Normal file
26
middleware/recover.go
Normal file
@@ -0,0 +1,26 @@
|
||||
package middleware
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
)
|
||||
|
||||
func RelayPanicRecover() gin.HandlerFunc {
|
||||
return func(c *gin.Context) {
|
||||
defer func() {
|
||||
if err := recover(); err != nil {
|
||||
common.SysError(fmt.Sprintf("panic detected: %v", err))
|
||||
c.JSON(http.StatusInternalServerError, gin.H{
|
||||
"error": gin.H{
|
||||
"message": fmt.Sprintf("Panic detected, error: %v. Please submit a issue here: https://github.com/songquanpeng/one-api", err),
|
||||
"type": "one_api_panic",
|
||||
},
|
||||
})
|
||||
c.Abort()
|
||||
}
|
||||
}()
|
||||
c.Next()
|
||||
}
|
||||
}
|
@@ -34,6 +34,7 @@ func InitOptionMap() {
|
||||
common.OptionMap["TurnstileCheckEnabled"] = strconv.FormatBool(common.TurnstileCheckEnabled)
|
||||
common.OptionMap["RegisterEnabled"] = strconv.FormatBool(common.RegisterEnabled)
|
||||
common.OptionMap["AutomaticDisableChannelEnabled"] = strconv.FormatBool(common.AutomaticDisableChannelEnabled)
|
||||
common.OptionMap["AutomaticEnableChannelEnabled"] = strconv.FormatBool(common.AutomaticEnableChannelEnabled)
|
||||
common.OptionMap["ApproximateTokenEnabled"] = strconv.FormatBool(common.ApproximateTokenEnabled)
|
||||
common.OptionMap["LogConsumeEnabled"] = strconv.FormatBool(common.LogConsumeEnabled)
|
||||
common.OptionMap["DisplayInCurrencyEnabled"] = strconv.FormatBool(common.DisplayInCurrencyEnabled)
|
||||
@@ -147,6 +148,8 @@ func updateOptionMap(key string, value string) (err error) {
|
||||
common.EmailDomainRestrictionEnabled = boolValue
|
||||
case "AutomaticDisableChannelEnabled":
|
||||
common.AutomaticDisableChannelEnabled = boolValue
|
||||
case "AutomaticEnableChannelEnabled":
|
||||
common.AutomaticEnableChannelEnabled = boolValue
|
||||
case "ApproximateTokenEnabled":
|
||||
common.ApproximateTokenEnabled = boolValue
|
||||
case "LogConsumeEnabled":
|
||||
|
3
pull_request_template.md
Normal file
3
pull_request_template.md
Normal file
@@ -0,0 +1,3 @@
|
||||
close #issue_number
|
||||
|
||||
我已确认该 PR 已自测通过,相关截图如下:
|
@@ -17,7 +17,7 @@ func SetRelayRouter(router *gin.Engine) {
|
||||
modelsRouter.GET("/:model", controller.RetrieveModel)
|
||||
}
|
||||
relayV1Router := router.Group("/v1")
|
||||
relayV1Router.Use(middleware.TokenAuth(), middleware.Distribute())
|
||||
relayV1Router.Use(middleware.RelayPanicRecover(), middleware.TokenAuth(), middleware.Distribute())
|
||||
{
|
||||
relayV1Router.POST("/completions", controller.Relay)
|
||||
relayV1Router.POST("/chat/completions", controller.Relay)
|
||||
@@ -29,17 +29,44 @@ func SetRelayRouter(router *gin.Engine) {
|
||||
relayV1Router.POST("/engines/:model/embeddings", controller.Relay)
|
||||
relayV1Router.POST("/audio/transcriptions", controller.Relay)
|
||||
relayV1Router.POST("/audio/translations", controller.Relay)
|
||||
relayV1Router.POST("/audio/speech", controller.Relay)
|
||||
relayV1Router.GET("/files", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/files", controller.RelayNotImplemented)
|
||||
relayV1Router.DELETE("/files/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/files/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/files/:id/content", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/fine-tunes", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/fine-tunes", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/fine-tunes/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/fine-tunes/:id/cancel", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/fine-tunes/:id/events", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/fine_tuning/jobs", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/fine_tuning/jobs", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/fine_tuning/jobs/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/fine_tuning/jobs/:id/cancel", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/fine_tuning/jobs/:id/events", controller.RelayNotImplemented)
|
||||
relayV1Router.DELETE("/models/:model", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/moderations", controller.Relay)
|
||||
relayV1Router.POST("/assistants", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/assistants/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/assistants/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.DELETE("/assistants/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/assistants", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/assistants/:id/files", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/assistants/:id/files/:fileId", controller.RelayNotImplemented)
|
||||
relayV1Router.DELETE("/assistants/:id/files/:fileId", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/assistants/:id/files", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.DELETE("/threads/:id", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads/:id/messages", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/messages/:messageId", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads/:id/messages/:messageId", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/messages/:messageId/files/:filesId", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/messages/:messageId/files", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads/:id/runs", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/runs/:runsId", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads/:id/runs/:runsId", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/runs", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads/:id/runs/:runsId/submit_tool_outputs", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/threads/:id/runs/:runsId/cancel", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/runs/:runsId/steps/:stepId", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/runs/:runsId/steps", controller.RelayNotImplemented)
|
||||
}
|
||||
}
|
||||
|
@@ -234,7 +234,7 @@ const ChannelsTable = () => {
|
||||
const res = await API.get(`/api/channel/test`);
|
||||
const { success, message } = res.data;
|
||||
if (success) {
|
||||
showInfo('已成功开始测试所有已启用通道,请刷新页面查看结果。');
|
||||
showInfo('已成功开始测试所有通道,请刷新页面查看结果。');
|
||||
} else {
|
||||
showError(message);
|
||||
}
|
||||
|
@@ -16,6 +16,7 @@ const OperationSetting = () => {
|
||||
ChatLink: '',
|
||||
QuotaPerUnit: 0,
|
||||
AutomaticDisableChannelEnabled: '',
|
||||
AutomaticEnableChannelEnabled: '',
|
||||
ChannelDisableThreshold: 0,
|
||||
LogConsumeEnabled: '',
|
||||
DisplayInCurrencyEnabled: '',
|
||||
@@ -269,6 +270,12 @@ const OperationSetting = () => {
|
||||
name='AutomaticDisableChannelEnabled'
|
||||
onChange={handleInputChange}
|
||||
/>
|
||||
<Form.Checkbox
|
||||
checked={inputs.AutomaticEnableChannelEnabled === 'true'}
|
||||
label='成功时自动启用通道'
|
||||
name='AutomaticEnableChannelEnabled'
|
||||
onChange={handleInputChange}
|
||||
/>
|
||||
</Form.Group>
|
||||
<Form.Button onClick={() => {
|
||||
submitConfig('monitor').then();
|
||||
|
@@ -60,7 +60,7 @@ const EditChannel = () => {
|
||||
let localModels = [];
|
||||
switch (value) {
|
||||
case 14:
|
||||
localModels = ['claude-instant-1', 'claude-2'];
|
||||
localModels = ['claude-instant-1', 'claude-2', 'claude-2.0', 'claude-2.1'];
|
||||
break;
|
||||
case 11:
|
||||
localModels = ['PaLM-2'];
|
||||
@@ -343,6 +343,20 @@ const EditChannel = () => {
|
||||
</Form.Field>
|
||||
)
|
||||
}
|
||||
{
|
||||
inputs.type === 17 && (
|
||||
<Form.Field>
|
||||
<Form.Input
|
||||
label='插件参数'
|
||||
name='other'
|
||||
placeholder={'请输入插件参数,即 X-DashScope-Plugin 请求头的取值'}
|
||||
onChange={handleInputChange}
|
||||
value={inputs.other}
|
||||
autoComplete='new-password'
|
||||
/>
|
||||
</Form.Field>
|
||||
)
|
||||
}
|
||||
<Form.Field>
|
||||
<Form.Dropdown
|
||||
label='模型'
|
||||
|
Reference in New Issue
Block a user