Files
new-api/controller/model.go
T
Calcium-Ion 0ab0202060 Feat/auto group (#6590)
* feat(token): support custom auto group order

* feat(keys): enhance auto group presentation

* fix(keys): rework Auto flow border and compact inherited order

The Auto group highlight previously tinted the whole control surface
with a gradient and animated only a 1px top sweep, which read as a
background color rather than a flowing border. Replace it with a
border-only effect: an aria-hidden, pointer-events-none overlay whose
conic gradient is masked down to a thin ring hugging the rounded
perimeter, so the highlight travels around all four edges and corners
every 3.2s. The interior stays neutral with a restrained static
primary border and glow; prefers-reduced-motion hides the moving
layer while keeping the static emphasis.

The inherited global Auto order also rendered as spacious two-line
rows with circular sequence markers, wasting drawer space. Render it
as a compact wrapping strip of one-line chips (index, name, ratio
badge) with descriptions kept accessible via title and sr-only text,
scrolling only past a much smaller max height.

Custom add/remove/reorder editing, empty-array inheritance semantics,
and the submit payload are unchanged.

* fix(keys): preserve Auto inheritance and unify effects

* refactor(keys): temporarily disable AutoGroupBadge in api-key-group-cell
2026-08-01 23:19:01 +08:00

356 lines
9.7 KiB
Go

package controller
import (
"fmt"
"net/http"
"strings"
"time"
"github.com/QuantumNous/new-api/common"
"github.com/QuantumNous/new-api/constant"
"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/relay/helper"
"github.com/QuantumNous/new-api/relaykit/dto"
"github.com/QuantumNous/new-api/relaykit/types"
"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 channelOwnerName(channelType int) string {
apiType, success := common.ChannelType2APIType(channelType)
if !success {
return strings.ToLower(constant.GetChannelTypeName(channelType))
}
adaptor := relay.GetAdaptor(apiType)
if adaptor == nil {
return strings.ToLower(constant.GetChannelTypeName(channelType))
}
adaptor.Init(&relaycommon.RelayInfo{ChannelMeta: &relaycommon.ChannelMeta{
ChannelType: channelType,
}})
if name := strings.TrimSpace(adaptor.GetChannelName()); name != "" {
return name
}
return strings.ToLower(constant.GetChannelTypeName(channelType))
}
func getPreferredModelOwners(modelNames []string, groups []string) map[string]string {
channelTypes, err := model.GetPreferredModelOwnerChannelTypes(modelNames, groups)
if err != nil {
common.SysLog(fmt.Sprintf("GetPreferredModelOwnerChannelTypes error: %v", err))
return map[string]string{}
}
ownerByChannelType := make(map[int]string)
owners := make(map[string]string, len(channelTypes))
for modelName, channelType := range channelTypes {
owner, ok := ownerByChannelType[channelType]
if !ok {
owner = channelOwnerName(channelType)
ownerByChannelType[channelType] = owner
}
if owner != "" {
owners[modelName] = owner
}
}
return owners
}
func buildOpenAIModel(modelName string, ownerByModel map[string]string) dto.OpenAIModels {
var oaiModel dto.OpenAIModels
if staticModel, ok := openAIModelsMap[modelName]; ok {
oaiModel = staticModel
} else {
oaiModel = dto.OpenAIModels{
Id: modelName,
Object: "model",
Created: 1626777600,
OwnedBy: "custom",
}
}
if owner, ok := ownerByModel[modelName]; ok && owner != "" {
oaiModel.OwnedBy = owner
}
oaiModel.SupportedEndpointTypes = model.GetModelSupportEndpointTypes(modelName)
return oaiModel
}
type modelListGroups struct {
userGroup string
tokenGroup string
ownerGroups []string
}
func getModelListGroups(c *gin.Context) (modelListGroups, error) {
tokenGroup := common.GetContextKeyString(c, constant.ContextKeyTokenGroup)
userGroup := common.GetContextKeyString(c, constant.ContextKeyUserGroup)
if userGroup == "" && (tokenGroup == "" || tokenGroup == "auto") {
var err error
userGroup, err = model.GetUserGroup(c.GetInt("id"), false)
if err != nil {
return modelListGroups{}, err
}
}
if tokenGroup == "auto" {
return modelListGroups{
userGroup: userGroup,
tokenGroup: tokenGroup,
ownerGroups: service.GetRequestAutoGroups(c, userGroup),
}, nil
}
group := userGroup
if tokenGroup != "" {
group = tokenGroup
}
return modelListGroups{
userGroup: userGroup,
tokenGroup: tokenGroup,
ownerGroups: []string{group},
}, nil
}
func ListModels(c *gin.Context, modelType int) {
acceptUnsetRatioModel := operation_setting.SelfUseModeEnabled
if !acceptUnsetRatioModel {
userId := c.GetInt("id")
if userId > 0 {
userSettings, _ := model.GetUserSetting(userId, false)
if userSettings.AcceptUnsetRatioModel {
acceptUnsetRatioModel = true
}
}
}
userModelNames := make([]string, 0)
groups, err := getModelListGroups(c)
if err != nil {
c.JSON(http.StatusOK, gin.H{
"success": false,
"message": "get user group failed",
})
return
}
ownerGroups := groups.ownerGroups
modelLimitEnable := common.GetContextKeyBool(c, constant.ContextKeyTokenModelLimitEnabled)
var tokenModelLimit map[string]bool
if modelLimitEnable {
s, ok := common.GetContextKey(c, constant.ContextKeyTokenModelLimit)
if ok {
tokenModelLimit, _ = s.(map[string]bool)
}
if tokenModelLimit == nil {
tokenModelLimit = map[string]bool{}
}
}
models := service.GetGroupsEnabledModels(ownerGroups)
for _, modelName := range models {
if modelLimitEnable {
matchingName := ratio_setting.FormatMatchingModelName(modelName)
if !tokenModelLimit[modelName] && !tokenModelLimit[matchingName] {
continue
}
}
if !acceptUnsetRatioModel && !helper.HasModelBillingConfig(modelName) {
continue
}
userModelNames = append(userModelNames, modelName)
}
ownerByModel := map[string]string{}
if len(ownerGroups) > 0 {
ownerByModel = getPreferredModelOwners(userModelNames, ownerGroups)
}
userOpenAiModels := make([]dto.OpenAIModels, 0, len(userModelNames))
for _, modelName := range userModelNames {
userOpenAiModels = append(userOpenAiModels, buildOpenAIModel(modelName, ownerByModel))
}
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",
}
}
firstID := ""
lastID := ""
if len(useranthropicModels) > 0 {
firstID = useranthropicModels[0].ID
lastID = useranthropicModels[len(useranthropicModels)-1].ID
}
c.JSON(200, gin.H{
"data": useranthropicModels,
"first_id": firstID,
"has_more": false,
"last_id": lastID,
})
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 := types.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,
})
}
}