Compare commits

...

14 Commits

Author SHA1 Message Date
JustSong
0e73418cdf fix: fix log recording & error handling for relay-audio 2023-11-26 12:05:16 +08:00
JustSong
9889377f0e feat: support claude-2.x (close #736) 2023-11-24 21:39:44 +08:00
JustSong
b273464e77 docs: update readme 2023-11-24 21:23:16 +08:00
JustSong
b4e43d97fd docs: add pr template 2023-11-24 21:21:03 +08:00
Ian Li
3347a44023 feat: support Azure's Whisper model (#720) 2023-11-24 21:10:18 +08:00
Tillman Bailee
923e24534b fix: add Date header for email (#742)
* 修复自建邮箱发送错误: INVALID HEADER Missing required header field: "Date"

* chore: fix style

---------

Co-authored-by: liyujie <29959257@qq.com>
Co-authored-by: JustSong <39998050+songquanpeng@users.noreply.github.com>
Co-authored-by: JustSong <songquanpeng@foxmail.com>
2023-11-24 20:56:53 +08:00
ShinChven ✨
b4d67ca614 fix: add Message-ID header for email (#732)
* feat: Add Message-ID to email headers to comply with RFC 5322

- Extract domain from SMTPFrom
- Generate a unique Message-ID
- Add Message-ID to email headers

* chore: check slice length

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>
2023-11-24 20:52:59 +08:00
igophper
d85e356b6e refactor: remove consumeQuota related logic (#738)
* feat: 删除relay-text中的consumeQuota变量

该变量始终为true,可以删除

* chore: remove useless code

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>
2023-11-24 20:42:29 +08:00
JustSong
495fc628e4 feat: support gpt-4 with vision (#683, #714) 2023-11-19 18:38:54 +08:00
JustSong
76f9288c34 feat: update request struct (close #708) 2023-11-19 17:50:30 +08:00
JustSong
915d13fdd4 docs: update readme (#724) 2023-11-19 17:22:35 +08:00
Ian Li
969f539777 fix: skip JSON deserialization when accessing transcriptions and translations (#718)
* fix: Skip JSON deserialization when accessing transcriptions and translations.

* chore: update impl

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>
2023-11-19 16:11:39 +08:00
Buer
54e5f8ecd2 feat: support cloudflare gateway for azure (#666)
* 🐛 Fix cloudflare gateway request failure

* 🐛 fix channel test url error
2023-11-19 15:52:35 +08:00
Mikey
34d517cfa2 fix: cloudflare test & expose detailed info about test failures (#715)
* fix: cloudflare test & expose detailed info about test failures

* fix: cloudflare test & expose detailed info about test failures

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>
2023-11-17 21:45:55 +08:00
23 changed files with 336 additions and 204 deletions

View File

@@ -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 APIbearer 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。

View File

@@ -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,

View File

@@ -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
}

View File

@@ -76,6 +76,8 @@ var ModelRatio = map[string]float64{
"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

View File

@@ -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
@@ -73,10 +72,14 @@ 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 {
return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error
}

View File

@@ -360,6 +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",

View File

@@ -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,

View File

@@ -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++
}

View File

@@ -5,11 +5,13 @@ import (
"context"
"encoding/json"
"errors"
"fmt"
"github.com/gin-gonic/gin"
"io"
"net/http"
"one-api/common"
"one-api/model"
"strings"
)
func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
@@ -37,41 +39,40 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
}
}
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)
}
quota := 0
// Check if user quota is enough
if relayMode == RelayModeAudioSpeech {
quota = int(float64(len(ttsRequest.Input)) * modelRatio * groupRatio)
if quota > userQuota {
return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
}
} else {
if userQuota-preConsumedQuota < 0 {
return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
}
err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
if userQuota-preConsumedQuota < 0 {
return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
}
err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
if err != nil {
return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
}
if userQuota > 100*preConsumedQuota {
// in this case, we do not pre-consume quota
// because the user has enough quota
preConsumedQuota = 0
}
if preConsumedQuota > 0 {
err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
if err != nil {
return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
}
if userQuota > 100*preConsumedQuota {
// in this case, we do not pre-consume quota
// because the user has enough quota
preConsumedQuota = 0
}
if preConsumedQuota > 0 {
err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
if err != nil {
return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
}
return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
}
}
@@ -95,13 +96,33 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
}
fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
query := c.Request.URL.Query()
apiVersion := query.Get("api-version")
if apiVersion == "" {
apiVersion = c.GetString("api_version")
}
baseURL = c.GetString("base_url")
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, audioModel, apiVersion)
}
requestBody := c.Request.Body
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"))
@@ -119,11 +140,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
}
if relayMode == RelayModeAudioSpeech {
defer func(ctx context.Context) {
go postConsumeQuota(ctx, tokenId, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
}(c.Request.Context())
} else {
if relayMode != RelayModeAudioSpeech {
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
@@ -137,13 +154,29 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
}
defer func(ctx context.Context) {
quota := countTokenText(whisperResponse.Text, audioModel)
quotaDelta := quota - preConsumedQuota
go postConsumeQuota(ctx, tokenId, quotaDelta, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
}(c.Request.Context())
quota = countTokenText(whisperResponse.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 postConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
}(c.Request.Context())
for k, v := range resp.Header {
c.Writer.Header().Set(k, v[0])
}

View File

@@ -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(),
})
}
}

View File

@@ -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:"

View File

@@ -33,15 +33,12 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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
@@ -122,7 +119,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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)
}
@@ -151,43 +148,39 @@ 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])

View File

@@ -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,

View File

@@ -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"

View File

@@ -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,
})
}

View File

@@ -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"
@@ -147,7 +144,9 @@ 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 +232,7 @@ 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)
@@ -412,37 +411,36 @@ 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 {
@@ -456,7 +454,7 @@ 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
}

View File

@@ -4,14 +4,15 @@ import (
"context"
"encoding/json"
"fmt"
"github.com/gin-gonic/gin"
"github.com/pkoukk/tiktoken-go"
"io"
"net/http"
"one-api/common"
"one-api/model"
"strconv"
"strings"
"github.com/gin-gonic/gin"
"github.com/pkoukk/tiktoken-go"
)
var stopFinishReason = "stop"
@@ -86,7 +87,7 @@ func countTokenMessages(messages []Message, model string) int {
tokenNum := 0
for _, message := range messages {
tokenNum += tokensPerMessage
tokenNum += getTokenNum(tokenEncoder, message.Content)
tokenNum += getTokenNum(tokenEncoder, message.StringContent())
tokenNum += getTokenNum(tokenEncoder, message.Role)
if message.Name != nil {
tokenNum += tokensPerName
@@ -181,16 +182,22 @@ 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, quota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
err := model.PostConsumeTokenQuota(tokenId, quota)
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())
}
@@ -198,10 +205,14 @@ func postConsumeQuota(ctx context.Context, tokenId int, quota int, userId int, c
if err != nil {
common.SysError("error update user quota cache: " + err.Error())
}
if quota != 0 {
// 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, 0, 0, modelName, tokenName, quota, logContent)
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
model.UpdateChannelUsedQuota(channelId, quota)
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))
}
}

View File

@@ -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(),
})
}
}

View File

@@ -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(),
})
}
}

View File

@@ -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
@@ -31,19 +70,30 @@ const (
// 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 {
@@ -201,9 +251,9 @@ func Relay(c *gin.Context) {
relayMode = RelayModeEdits
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/speech") {
relayMode = RelayModeAudioSpeech
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcription") {
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
relayMode = RelayModeAudioTranscription
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translation") {
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
relayMode = RelayModeAudioTranslation
}
var err *OpenAIErrorWithStatusCode

View File

@@ -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])

3
pull_request_template.md Normal file
View 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:

View File

@@ -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'];