new-api / controller /model.go
liuzhao521
Deploy New API v0.9.25+ (commit b47cf4ef) to HuggingFace Spaces
4674012
package controller
import (
"fmt"
"net/http"
"time"
"github.com/QuantumNous/new-api/common"
"github.com/QuantumNous/new-api/constant"
"github.com/QuantumNous/new-api/dto"
"github.com/QuantumNous/new-api/model"
"github.com/QuantumNous/new-api/relay"
"github.com/QuantumNous/new-api/relay/channel/ai360"
"github.com/QuantumNous/new-api/relay/channel/lingyiwanwu"
"github.com/QuantumNous/new-api/relay/channel/minimax"
"github.com/QuantumNous/new-api/relay/channel/moonshot"
relaycommon "github.com/QuantumNous/new-api/relay/common"
"github.com/QuantumNous/new-api/service"
"github.com/QuantumNous/new-api/setting/operation_setting"
"github.com/QuantumNous/new-api/setting/ratio_setting"
"github.com/gin-gonic/gin"
"github.com/samber/lo"
)
// https://platform.openai.com/docs/api-reference/models/list
var openAIModels []dto.OpenAIModels
var openAIModelsMap map[string]dto.OpenAIModels
var channelId2Models map[int][]string
func init() {
// https://platform.openai.com/docs/models/model-endpoint-compatibility
for i := 0; i < constant.APITypeDummy; i++ {
if i == constant.APITypeAIProxyLibrary {
continue
}
adaptor := relay.GetAdaptor(i)
channelName := adaptor.GetChannelName()
modelNames := adaptor.GetModelList()
for _, modelName := range modelNames {
openAIModels = append(openAIModels, dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: channelName,
})
}
}
for _, modelName := range ai360.ModelList {
openAIModels = append(openAIModels, dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: ai360.ChannelName,
})
}
for _, modelName := range moonshot.ModelList {
openAIModels = append(openAIModels, dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: moonshot.ChannelName,
})
}
for _, modelName := range lingyiwanwu.ModelList {
openAIModels = append(openAIModels, dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: lingyiwanwu.ChannelName,
})
}
for _, modelName := range minimax.ModelList {
openAIModels = append(openAIModels, dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: minimax.ChannelName,
})
}
for modelName, _ := range constant.MidjourneyModel2Action {
openAIModels = append(openAIModels, dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: "midjourney",
})
}
openAIModelsMap = make(map[string]dto.OpenAIModels)
for _, aiModel := range openAIModels {
openAIModelsMap[aiModel.Id] = aiModel
}
channelId2Models = make(map[int][]string)
for i := 1; i <= constant.ChannelTypeDummy; i++ {
apiType, success := common.ChannelType2APIType(i)
if !success || apiType == constant.APITypeAIProxyLibrary {
continue
}
meta := &relaycommon.RelayInfo{ChannelMeta: &relaycommon.ChannelMeta{
ChannelType: i,
}}
adaptor := relay.GetAdaptor(apiType)
adaptor.Init(meta)
channelId2Models[i] = adaptor.GetModelList()
}
openAIModels = lo.UniqBy(openAIModels, func(m dto.OpenAIModels) string {
return m.Id
})
}
func ListModels(c *gin.Context, modelType int) {
userOpenAiModels := make([]dto.OpenAIModels, 0)
acceptUnsetRatioModel := operation_setting.SelfUseModeEnabled
if !acceptUnsetRatioModel {
userId := c.GetInt("id")
if userId > 0 {
userSettings, _ := model.GetUserSetting(userId, false)
if userSettings.AcceptUnsetRatioModel {
acceptUnsetRatioModel = true
}
}
}
modelLimitEnable := common.GetContextKeyBool(c, constant.ContextKeyTokenModelLimitEnabled)
if modelLimitEnable {
s, ok := common.GetContextKey(c, constant.ContextKeyTokenModelLimit)
var tokenModelLimit map[string]bool
if ok {
tokenModelLimit = s.(map[string]bool)
} else {
tokenModelLimit = map[string]bool{}
}
for allowModel, _ := range tokenModelLimit {
if !acceptUnsetRatioModel {
_, _, exist := ratio_setting.GetModelRatioOrPrice(allowModel)
if !exist {
continue
}
}
if oaiModel, ok := openAIModelsMap[allowModel]; ok {
oaiModel.SupportedEndpointTypes = model.GetModelSupportEndpointTypes(allowModel)
userOpenAiModels = append(userOpenAiModels, oaiModel)
} else {
userOpenAiModels = append(userOpenAiModels, dto.OpenAIModels{
Id: allowModel,
Object: "model",
Created: 1626777600,
OwnedBy: "custom",
SupportedEndpointTypes: model.GetModelSupportEndpointTypes(allowModel),
})
}
}
} else {
userId := c.GetInt("id")
userGroup, err := model.GetUserGroup(userId, false)
if err != nil {
c.JSON(http.StatusOK, gin.H{
"success": false,
"message": "get user group failed",
})
return
}
group := userGroup
tokenGroup := common.GetContextKeyString(c, constant.ContextKeyTokenGroup)
if tokenGroup != "" {
group = tokenGroup
}
var models []string
if tokenGroup == "auto" {
for _, autoGroup := range service.GetUserAutoGroup(userGroup) {
groupModels := model.GetGroupEnabledModels(autoGroup)
for _, g := range groupModels {
if !common.StringsContains(models, g) {
models = append(models, g)
}
}
}
} else {
models = model.GetGroupEnabledModels(group)
}
for _, modelName := range models {
if !acceptUnsetRatioModel {
_, _, exist := ratio_setting.GetModelRatioOrPrice(modelName)
if !exist {
continue
}
}
if oaiModel, ok := openAIModelsMap[modelName]; ok {
oaiModel.SupportedEndpointTypes = model.GetModelSupportEndpointTypes(modelName)
userOpenAiModels = append(userOpenAiModels, oaiModel)
} else {
userOpenAiModels = append(userOpenAiModels, dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: "custom",
SupportedEndpointTypes: model.GetModelSupportEndpointTypes(modelName),
})
}
}
}
switch modelType {
case constant.ChannelTypeAnthropic:
useranthropicModels := make([]dto.AnthropicModel, len(userOpenAiModels))
for i, model := range userOpenAiModels {
useranthropicModels[i] = dto.AnthropicModel{
ID: model.Id,
CreatedAt: time.Unix(int64(model.Created), 0).UTC().Format(time.RFC3339),
DisplayName: model.Id,
Type: "model",
}
}
c.JSON(200, gin.H{
"data": useranthropicModels,
"first_id": useranthropicModels[0].ID,
"has_more": false,
"last_id": useranthropicModels[len(useranthropicModels)-1].ID,
})
case constant.ChannelTypeGemini:
userGeminiModels := make([]dto.GeminiModel, len(userOpenAiModels))
for i, model := range userOpenAiModels {
userGeminiModels[i] = dto.GeminiModel{
Name: model.Id,
DisplayName: model.Id,
}
}
c.JSON(200, gin.H{
"models": userGeminiModels,
"nextPageToken": nil,
})
default:
c.JSON(200, gin.H{
"success": true,
"data": userOpenAiModels,
"object": "list",
})
}
}
func ChannelListModels(c *gin.Context) {
c.JSON(200, gin.H{
"success": true,
"data": openAIModels,
})
}
func DashboardListModels(c *gin.Context) {
c.JSON(200, gin.H{
"success": true,
"data": channelId2Models,
})
}
func EnabledListModels(c *gin.Context) {
c.JSON(200, gin.H{
"success": true,
"data": model.GetEnabledModels(),
})
}
func RetrieveModel(c *gin.Context, modelType int) {
modelId := c.Param("model")
if aiModel, ok := openAIModelsMap[modelId]; ok {
switch modelType {
case constant.ChannelTypeAnthropic:
c.JSON(200, dto.AnthropicModel{
ID: aiModel.Id,
CreatedAt: time.Unix(int64(aiModel.Created), 0).UTC().Format(time.RFC3339),
DisplayName: aiModel.Id,
Type: "model",
})
default:
c.JSON(200, aiModel)
}
} else {
openAIError := dto.OpenAIError{
Message: fmt.Sprintf("The model '%s' does not exist", modelId),
Type: "invalid_request_error",
Param: "model",
Code: "model_not_found",
}
c.JSON(200, gin.H{
"error": openAIError,
})
}
}