217 lines
5.7 KiB
Go
217 lines
5.7 KiB
Go
package controller
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import (
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"fmt"
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"github.com/gin-gonic/gin"
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"github.com/samber/lo"
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"net/http"
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"one-api/common"
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"one-api/constant"
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"one-api/dto"
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"one-api/model"
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"one-api/relay"
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"one-api/relay/channel/ai360"
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"one-api/relay/channel/lingyiwanwu"
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"one-api/relay/channel/minimax"
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"one-api/relay/channel/moonshot"
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relaycommon "one-api/relay/common"
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"one-api/setting"
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)
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// https://platform.openai.com/docs/api-reference/models/list
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var openAIModels []dto.OpenAIModels
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var openAIModelsMap map[string]dto.OpenAIModels
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var channelId2Models map[int][]string
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func init() {
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// https://platform.openai.com/docs/models/model-endpoint-compatibility
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for i := 0; i < constant.APITypeDummy; i++ {
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if i == constant.APITypeAIProxyLibrary {
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continue
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}
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adaptor := relay.GetAdaptor(i)
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channelName := adaptor.GetChannelName()
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modelNames := adaptor.GetModelList()
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for _, modelName := range modelNames {
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openAIModels = append(openAIModels, dto.OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: channelName,
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})
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}
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}
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for _, modelName := range ai360.ModelList {
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openAIModels = append(openAIModels, dto.OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: ai360.ChannelName,
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})
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}
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for _, modelName := range moonshot.ModelList {
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openAIModels = append(openAIModels, dto.OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: moonshot.ChannelName,
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})
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}
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for _, modelName := range lingyiwanwu.ModelList {
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openAIModels = append(openAIModels, dto.OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: lingyiwanwu.ChannelName,
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})
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}
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for _, modelName := range minimax.ModelList {
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openAIModels = append(openAIModels, dto.OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: minimax.ChannelName,
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})
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}
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for modelName, _ := range constant.MidjourneyModel2Action {
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openAIModels = append(openAIModels, dto.OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: "midjourney",
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})
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}
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openAIModelsMap = make(map[string]dto.OpenAIModels)
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for _, aiModel := range openAIModels {
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openAIModelsMap[aiModel.Id] = aiModel
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}
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channelId2Models = make(map[int][]string)
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for i := 1; i <= constant.ChannelTypeDummy; i++ {
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apiType, success := common.ChannelType2APIType(i)
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if !success || apiType == constant.APITypeAIProxyLibrary {
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continue
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}
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meta := &relaycommon.RelayInfo{ChannelType: i}
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adaptor := relay.GetAdaptor(apiType)
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adaptor.Init(meta)
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channelId2Models[i] = adaptor.GetModelList()
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}
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openAIModels = lo.UniqBy(openAIModels, func(m dto.OpenAIModels) string {
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return m.Id
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})
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}
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func ListModels(c *gin.Context) {
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userOpenAiModels := make([]dto.OpenAIModels, 0)
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modelLimitEnable := common.GetContextKeyBool(c, constant.ContextKeyTokenModelLimitEnabled)
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if modelLimitEnable {
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s, ok := common.GetContextKey(c, constant.ContextKeyTokenModelLimit)
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var tokenModelLimit map[string]bool
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if ok {
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tokenModelLimit = s.(map[string]bool)
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} else {
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tokenModelLimit = map[string]bool{}
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}
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for allowModel, _ := range tokenModelLimit {
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if oaiModel, ok := openAIModelsMap[allowModel]; ok {
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oaiModel.SupportedEndpointTypes = model.GetModelSupportEndpointTypes(allowModel)
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userOpenAiModels = append(userOpenAiModels, oaiModel)
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} else {
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userOpenAiModels = append(userOpenAiModels, dto.OpenAIModels{
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Id: allowModel,
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Object: "model",
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Created: 1626777600,
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OwnedBy: "custom",
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SupportedEndpointTypes: model.GetModelSupportEndpointTypes(allowModel),
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})
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}
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}
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} else {
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userId := c.GetInt("id")
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userGroup, err := model.GetUserGroup(userId, true)
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if err != nil {
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c.JSON(http.StatusOK, gin.H{
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"success": false,
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"message": "get user group failed",
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})
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return
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}
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group := userGroup
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tokenGroup := common.GetContextKeyString(c, constant.ContextKeyUserGroup)
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if tokenGroup != "" {
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group = tokenGroup
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}
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var models []string
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if tokenGroup == "auto" {
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for _, autoGroup := range setting.AutoGroups {
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groupModels := model.GetGroupEnabledModels(autoGroup)
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for _, g := range groupModels {
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if !common.StringsContains(models, g) {
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models = append(models, g)
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}
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}
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}
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} else {
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models = model.GetGroupEnabledModels(group)
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}
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for _, modelName := range models {
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if oaiModel, ok := openAIModelsMap[modelName]; ok {
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oaiModel.SupportedEndpointTypes = model.GetModelSupportEndpointTypes(modelName)
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userOpenAiModels = append(userOpenAiModels, oaiModel)
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} else {
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userOpenAiModels = append(userOpenAiModels, dto.OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: "custom",
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SupportedEndpointTypes: model.GetModelSupportEndpointTypes(modelName),
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})
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}
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}
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}
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c.JSON(200, gin.H{
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"success": true,
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"data": userOpenAiModels,
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})
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}
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func ChannelListModels(c *gin.Context) {
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c.JSON(200, gin.H{
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"success": true,
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"data": openAIModels,
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})
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}
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func DashboardListModels(c *gin.Context) {
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c.JSON(200, gin.H{
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"success": true,
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"data": channelId2Models,
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})
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}
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func EnabledListModels(c *gin.Context) {
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c.JSON(200, gin.H{
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"success": true,
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"data": model.GetEnabledModels(),
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})
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}
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func RetrieveModel(c *gin.Context) {
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modelId := c.Param("model")
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if aiModel, ok := openAIModelsMap[modelId]; ok {
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c.JSON(200, aiModel)
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} else {
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openAIError := dto.OpenAIError{
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Message: fmt.Sprintf("The model '%s' does not exist", modelId),
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Type: "invalid_request_error",
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Param: "model",
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Code: "model_not_found",
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}
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c.JSON(200, gin.H{
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"error": openAIError,
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})
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}
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}
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