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https://github.com/songquanpeng/one-api.git
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Compare commits
9 Commits
v0.5.8-alp
...
v0.5.8
| Author | SHA1 | Date | |
|---|---|---|---|
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495fc628e4 | ||
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76f9288c34 | ||
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915d13fdd4 | ||
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969f539777 | ||
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54e5f8ecd2 | ||
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34d517cfa2 | ||
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ddcaf95f5f | ||
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1d15157f7d | ||
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de7b9710a5 |
@@ -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。
|
||||
|
||||
@@ -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
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||||
// TODO: someday non json request have variant model, we will need to implementation this
|
||||
}
|
||||
if err != nil {
|
||||
return err
|
||||
}
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||||
|
||||
@@ -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,
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||||
"dall-e-3": 4000,
|
||||
}
|
||||
|
||||
// ModelRatio
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||||
// https://platform.openai.com/docs/models/model-endpoint-compatibility
|
||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
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||||
@@ -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,
|
||||
@@ -45,7 +72,8 @@ 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
|
||||
"ERNIE-Bot": 0.8572, // ¥0.012 / 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
|
||||
@@ -73,10 +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
|
||||
}
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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++
|
||||
}
|
||||
|
||||
@@ -5,7 +5,6 @@ import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
@@ -21,6 +20,22 @@ 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)
|
||||
@@ -31,22 +46,32 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
if err != nil {
|
||||
return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
|
||||
}
|
||||
if userQuota-preConsumedQuota < 0 {
|
||||
return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
|
||||
}
|
||||
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)
|
||||
|
||||
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 err != nil {
|
||||
return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
|
||||
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)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -93,47 +118,32 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
var audioResponse AudioResponse
|
||||
|
||||
defer func(ctx context.Context) {
|
||||
go func() {
|
||||
quota := countTokenText(audioResponse.Text, audioModel)
|
||||
if relayMode == RelayModeAudioSpeech {
|
||||
defer func(ctx context.Context) {
|
||||
go postConsumeQuota(ctx, tokenId, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
|
||||
}(c.Request.Context())
|
||||
} else {
|
||||
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 whisperResponse WhisperResponse
|
||||
err = json.Unmarshal(responseBody, &whisperResponse)
|
||||
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
|
||||
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)
|
||||
}
|
||||
}()
|
||||
}(c.Request.Context())
|
||||
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
|
||||
go postConsumeQuota(ctx, tokenId, quotaDelta, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
|
||||
}(c.Request.Context())
|
||||
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
|
||||
}
|
||||
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])
|
||||
}
|
||||
|
||||
@@ -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(),
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@@ -6,15 +6,28 @@ import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/model"
|
||||
|
||||
"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")
|
||||
@@ -31,19 +44,44 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
}
|
||||
}
|
||||
|
||||
// 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
|
||||
@@ -82,16 +120,7 @@ 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 {
|
||||
return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
|
||||
|
||||
@@ -132,7 +132,7 @@ 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,
|
||||
})
|
||||
}
|
||||
|
||||
@@ -147,7 +147,9 @@ 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"
|
||||
@@ -367,6 +369,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
}
|
||||
case APITypeTencent:
|
||||
req.Header.Set("Authorization", apiKey)
|
||||
case APITypePaLM:
|
||||
// do not set Authorization header
|
||||
default:
|
||||
req.Header.Set("Authorization", "Bearer "+apiKey)
|
||||
}
|
||||
|
||||
@@ -1,15 +1,18 @@
|
||||
package controller
|
||||
|
||||
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"
|
||||
@@ -84,7 +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
|
||||
@@ -179,10 +182,32 @@ 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)
|
||||
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 {
|
||||
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)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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 +129,30 @@ 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"`
|
||||
Size string `json:"size"`
|
||||
Quality string `json:"quality"`
|
||||
ResponseFormat string `json:"response_format"`
|
||||
Style string `json:"style"`
|
||||
User string `json:"user"`
|
||||
}
|
||||
|
||||
type AudioResponse struct {
|
||||
type WhisperResponse struct {
|
||||
Text string `json:"text,omitempty"`
|
||||
}
|
||||
|
||||
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 +249,22 @@ 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)
|
||||
|
||||
@@ -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"
|
||||
}
|
||||
|
||||
@@ -29,6 +29,7 @@ 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)
|
||||
|
||||
Reference in New Issue
Block a user