feat: add backend api timeout

agent/app/dto/request/tensorrt_llm.go

@@ -14,6 +14,8 @@ type TensorRTLLMCreate struct {
 	ModelDir      string `json:"modelDir" validate:"required"`
 	Image         string `json:"image"  validate:"required"`
 	Command       string `json:"command" validate:"required"`
+	ModelType     string `json:"modelType"`
+	ModelSpeedup  bool   `json:"modelSpeedup"`
 	DockerConfig
 }
 

agent/app/model/cronjob.go

@@ -43,6 +43,8 @@ type Cronjob struct {
 	EntryIDs    string       `json:"entryIDs"`
 	Records     []JobRecords `json:"records"`
 	Secret      string       `json:"secret"`
+
+	Config string `json:"config"`
 }
 
 type JobRecords struct {

agent/app/model/monitor.go

@@ -3,13 +3,17 @@ package model
 type MonitorBase struct {
 	BaseModel
 	Cpu         float64     `json:"cpu"`
+	TopCPU      string      `json:"topCPU"`
+	TopCPUItems interface{} `gorm:"-" json:"topCPUItems"`
+
+	Memory      float64     `json:"memory"`
+	TopMem      string      `json:"topMem"`
+	TopMemItems interface{} `gorm:"-" json:"topMemItems"`
 
 	LoadUsage float64 `json:"loadUsage"`
 	CpuLoad1  float64 `json:"cpuLoad1"`
 	CpuLoad5  float64 `json:"cpuLoad5"`
 	CpuLoad15 float64 `json:"cpuLoad15"`
-
-	Memory float64 `json:"memory"`
 }
 
 type MonitorIO struct {

agent/app/model/tensorrt_llm.go

@@ -6,8 +6,9 @@ type TensorRTLLM struct {
 	DockerCompose string `json:"dockerCompose"`
 	ContainerName string `json:"containerName"`
 	Message       string `json:"message"`
-	//Port          int    `json:"port"`
 	Status        string `json:"status"`
 	Env           string `json:"env"`
 	TaskID        string `json:"taskID"`
+	ModelType     string `json:"modelType"`
+	ModelSpeedup  bool   `json:"modelSpeedup"`
 }

agent/app/service/tensorrt_llm.go

@@ -1,6 +1,7 @@
 package service
 
 import (
+	"errors"
 	"fmt"
 	"github.com/1Panel-dev/1Panel/agent/app/dto/request"
 	"github.com/1Panel-dev/1Panel/agent/app/dto/response"
@@ -12,10 +13,13 @@ import (
 	"github.com/1Panel-dev/1Panel/agent/global"
 	"github.com/1Panel-dev/1Panel/agent/utils/compose"
 	"github.com/1Panel-dev/1Panel/agent/utils/docker"
+	"github.com/1Panel-dev/1Panel/agent/utils/env"
 	"github.com/1Panel-dev/1Panel/agent/utils/files"
 	"github.com/subosito/gotenv"
 	"gopkg.in/yaml.v3"
+	"os"
 	"path"
+	"path/filepath"
 	"regexp"
 	"strconv"
 	"strings"
@@ -52,7 +56,7 @@ func (t TensorRTLLMService) Page(req request.TensorRTLLMSearch) response.TensorR
 		serverDTO.ModelDir = envs["MODEL_PATH"]
 		serverDTO.Dir = path.Join(global.Dir.TensorRTLLMDir, item.Name)
 		serverDTO.Image = envs["IMAGE"]
-		serverDTO.Command = envs["COMMAND"]
+		serverDTO.Command = getCommand(item.Env)
 
 		for k, v := range envs {
 			if strings.Contains(k, "CONTAINER_PORT") || strings.Contains(k, "HOST_PORT") {
@@ -81,20 +85,13 @@ func (t TensorRTLLMService) Page(req request.TensorRTLLMSearch) response.TensorR
 		}
 
 		composeByte, err := files.NewFileOp().GetContent(path.Join(global.Dir.TensorRTLLMDir, item.Name, "docker-compose.yml"))
-		if err != nil {
+		if err == nil {
-			continue
+			serverDTO.Environments, _ = getDockerComposeEnvironments(composeByte)
-		}
-		serverDTO.Environments, err = getDockerComposeEnvironments(composeByte)
-		if err != nil {
-			continue
 		}
 		volumes, err := getDockerComposeVolumes(composeByte)
-		if err != nil {
+		if err == nil {
-			continue
-		}
-
 			var defaultVolumes = map[string]string{
-			"${MODEL_PATH}": "/models",
+				"${MODEL_PATH}": "${MODEL_PATH}",
 			}
 			for _, volume := range volumes {
 				exist := false
@@ -108,6 +105,7 @@ func (t TensorRTLLMService) Page(req request.TensorRTLLMSearch) response.TensorR
 					serverDTO.Volumes = append(serverDTO.Volumes, volume)
 				}
 			}
+		}
 		items = append(items, serverDTO)
 	}
 	res.Total = total
@@ -159,16 +157,15 @@ func handleLLMParams(llm *model.TensorRTLLM, create request.TensorRTLLMCreate) e
 
 	delete(serviceValue, "environment")
 	var environments []interface{}
+	environments = append(environments, fmt.Sprintf("MODEL_PATH=%s", create.ModelDir))
 	for _, e := range create.Environments {
 		environments = append(environments, fmt.Sprintf("%s=%s", e.Key, e.Value))
 	}
-	if len(environments) > 0 {
 	serviceValue["environment"] = environments
-	}
 
 	var volumes []interface{}
 	var defaultVolumes = map[string]string{
-		"${MODEL_PATH}": "/models",
+		"${MODEL_PATH}": "${MODEL_PATH}",
 	}
 	for k, v := range defaultVolumes {
 		volumes = append(volumes, fmt.Sprintf("%s:%s", k, v))
@@ -188,23 +185,24 @@ func handleLLMParams(llm *model.TensorRTLLM, create request.TensorRTLLMCreate) e
 }
 
 func handleLLMEnv(llm *model.TensorRTLLM, create request.TensorRTLLMCreate) gotenv.Env {
-	env := make(gotenv.Env)
+	envMap := make(gotenv.Env)
-	env["CONTAINER_NAME"] = create.ContainerName
+	envMap["CONTAINER_NAME"] = create.ContainerName
-	env["MODEL_PATH"] = create.ModelDir
+	envMap["MODEL_PATH"] = create.ModelDir
-	env["VERSION"] = create.Version
+	envMap["VERSION"] = create.Version
-	env["IMAGE"] = create.Image
+	envMap["IMAGE"] = create.Image
-	env["COMMAND"] = create.Command
+	envMap["COMMAND"] = create.Command
 	for i, port := range create.ExposedPorts {
 		containerPortStr := fmt.Sprintf("CONTAINER_PORT_%d", i)
 		hostPortStr := fmt.Sprintf("HOST_PORT_%d", i)
 		hostIPStr := fmt.Sprintf("HOST_IP_%d", i)
-		env[containerPortStr] = strconv.Itoa(port.ContainerPort)
+		envMap[containerPortStr] = strconv.Itoa(port.ContainerPort)
-		env[hostPortStr] = strconv.Itoa(port.HostPort)
+		envMap[hostPortStr] = strconv.Itoa(port.HostPort)
-		env[hostIPStr] = port.HostIP
+		envMap[hostIPStr] = port.HostIP
 	}
-	envStr, _ := gotenv.Marshal(env)
+	orders := []string{"MODEL_PATH", "COMMAND"}
+	envStr, _ := env.MarshalWithOrder(envMap, orders)
 	llm.Env = envStr
-	return env
+	return envMap
 }
 
 func (t TensorRTLLMService) Create(create request.TensorRTLLMCreate) error {
@@ -227,27 +225,34 @@ func (t TensorRTLLMService) Create(create request.TensorRTLLMCreate) error {
 	}
 
 	tensorrtLLMDir := path.Join(global.Dir.TensorRTLLMDir, create.Name)
-	filesOP := files.NewFileOp()
+	filesOp := files.NewFileOp()
-	if !filesOP.Stat(tensorrtLLMDir) {
+	if !filesOp.Stat(tensorrtLLMDir) {
-		_ = filesOP.CreateDir(tensorrtLLMDir, 0644)
+		_ = filesOp.CreateDir(tensorrtLLMDir, 0644)
+	}
+	if create.ModelSpeedup {
+		if err := handleModelArchive(create.ModelType, create.ModelDir); err != nil {
+			return err
+		}
 	}
 	tensorrtLLM := &model.TensorRTLLM{
 		Name:          create.Name,
 		ContainerName: create.ContainerName,
 		Status:        constant.StatusStarting,
+		ModelType:     create.ModelType,
+		ModelSpeedup:  create.ModelSpeedup,
 	}
 
 	if err := handleLLMParams(tensorrtLLM, create); err != nil {
 		return err
 	}
-	env := handleLLMEnv(tensorrtLLM, create)
+	envMap := handleLLMEnv(tensorrtLLM, create)
 	llmDir := path.Join(global.Dir.TensorRTLLMDir, create.Name)
 	envPath := path.Join(llmDir, ".env")
-	if err := gotenv.Write(env, envPath); err != nil {
+	if err := env.WriteWithOrder(envMap, envPath, []string{"MODEL_PATH", "COMMAND"}); err != nil {
 		return err
 	}
 	dockerComposePath := path.Join(llmDir, "docker-compose.yml")
-	if err := filesOP.SaveFile(dockerComposePath, tensorrtLLM.DockerCompose, 0644); err != nil {
+	if err := filesOp.SaveFile(dockerComposePath, tensorrtLLM.DockerCompose, 0644); err != nil {
 		return err
 	}
 	tensorrtLLM.Status = constant.StatusStarting
@@ -269,18 +274,20 @@ func (t TensorRTLLMService) Update(req request.TensorRTLLMUpdate) error {
 			return err
 		}
 	}
-
+	tensorrtLLM.ModelType = req.ModelType
+	tensorrtLLM.ModelSpeedup = req.ModelSpeedup
 	tensorrtLLM.ContainerName = req.ContainerName
+
 	if err := handleLLMParams(tensorrtLLM, req.TensorRTLLMCreate); err != nil {
 		return err
 	}
 
-	env := handleLLMEnv(tensorrtLLM, req.TensorRTLLMCreate)
+	envMap := handleLLMEnv(tensorrtLLM, req.TensorRTLLMCreate)
-	envStr, _ := gotenv.Marshal(env)
+	envStr, _ := gotenv.Marshal(envMap)
 	tensorrtLLM.Env = envStr
 	llmDir := path.Join(global.Dir.TensorRTLLMDir, tensorrtLLM.Name)
 	envPath := path.Join(llmDir, ".env")
-	if err := gotenv.Write(env, envPath); err != nil {
+	if err := env.WriteWithOrder(envMap, envPath, []string{"MODEL_PATH", "COMMAND"}); err != nil {
 		return err
 	}
 	dockerComposePath := path.Join(llmDir, "docker-compose.yml")
@@ -381,3 +388,51 @@ func syncTensorRTLLMContainerStatus(tensorrtLLM *model.TensorRTLLM) error {
 	}
 	return tensorrtLLMRepo.Save(tensorrtLLM)
 }
+
+func findModelArchive(modelType string) (string, error) {
+	const baseDir = "/home/models"
+	prefix := fmt.Sprintf("FusionXplay_%s_Accelerator", modelType)
+
+	entries, err := os.ReadDir(baseDir)
+	if err != nil {
+		return "", fmt.Errorf("failed to read %s: %w", baseDir, err)
+	}
+
+	for _, entry := range entries {
+		if entry.IsDir() {
+			continue
+		}
+		name := entry.Name()
+		if strings.HasPrefix(name, prefix) && strings.HasSuffix(name, ".tar.gz") {
+			return filepath.Join(baseDir, name), nil
+		}
+	}
+
+	return "", errors.New(fmt.Sprintf("no FusionXplay_%s_Accelerator*.tar.gz found in /home/models", modelType))
+}
+
+func handleModelArchive(modelType string, modelDir string) error {
+	filePath, err := findModelArchive(modelType)
+	if err != nil {
+		return err
+	}
+	fileOp := files.NewFileOp()
+	if err = fileOp.TarGzExtractPro(filePath, modelDir, ""); err != nil {
+		return err
+	}
+	if err = fileOp.ChmodR(path.Join(modelDir, "fusionxpark_accelerator"), 0755, false); err != nil {
+		return err
+	}
+	return nil
+}
+
+func getCommand(envStr string) string {
+	lines := strings.Split(envStr, "\n")
+	for _, line := range lines {
+		line = strings.TrimSpace(line)
+		if strings.HasPrefix(line, "COMMAND=") {
+			return strings.TrimPrefix(line, "COMMAND=")
+		}
+	}
+	return ""
+}

agent/cmd/server/ai/llm-compose.yml

@@ -14,7 +14,7 @@ services:
     networks:
       - 1panel-network
     volumes:
-      - ${MODEL_PATH}:/models
+      - ${MODEL_PATH}:${MODEL_PATH}
     ipc: host
     ulimits:
       memlock:

agent/init/migration/migrate.go

@@ -47,6 +47,10 @@ func InitAgentDB() {
 		migrations.UpdateCronjobSpec,
 		migrations.UpdateWebsiteSSLAddColumn,
 		migrations.AddTensorRTLLMModel,
+		migrations.UpdateMonitorInterval,
+		migrations.AddMonitorProcess,
+		migrations.UpdateCronJob,
+		migrations.UpdateTensorrtLLM,
 	})
 	if err := m.Migrate(); err != nil {
 		global.LOG.Error(err)

agent/init/migration/migrations/init.go

@@ -6,6 +6,7 @@ import (
 	"os"
 	"os/user"
 	"path"
+	"strconv"
 	"strings"
 	"time"
 
@@ -634,3 +635,48 @@ var AddTensorRTLLMModel = &gormigrate.Migration{
 		return tx.AutoMigrate(&model.TensorRTLLM{})
 	},
 }
+
+var UpdateMonitorInterval = &gormigrate.Migration{
+	ID: "20251026-update-monitor-interval",
+	Migrate: func(tx *gorm.DB) error {
+		var monitorInterval model.Setting
+		if err := tx.Where("key = ?", "MonitorInterval").First(&monitorInterval).Error; err != nil {
+			return err
+		}
+		interval, _ := strconv.Atoi(monitorInterval.Value)
+		if interval == 0 {
+			interval = 300
+		}
+		if err := tx.Model(&model.Setting{}).
+			Where("key = ?", "MonitorInterval").
+			Updates(map[string]interface{}{"value": fmt.Sprintf("%v", interval*60)}).
+			Error; err != nil {
+			return err
+		}
+		if err := tx.Create(&model.Setting{Key: "DefaultIO", Value: "all"}).Error; err != nil {
+			return err
+		}
+		return nil
+	},
+}
+
+var AddMonitorProcess = &gormigrate.Migration{
+	ID: "20251202-add-monitor-process",
+	Migrate: func(tx *gorm.DB) error {
+		return global.MonitorDB.AutoMigrate(&model.MonitorBase{})
+	},
+}
+
+var UpdateCronJob = &gormigrate.Migration{
+	ID: "20251202-update-cronjob",
+	Migrate: func(tx *gorm.DB) error {
+		return tx.AutoMigrate(&model.Cronjob{})
+	},
+}
+
+var UpdateTensorrtLLM = &gormigrate.Migration{
+	ID: "20251110-update-tensorrt-llm",
+	Migrate: func(tx *gorm.DB) error {
+		return tx.AutoMigrate(&model.TensorRTLLM{})
+	},
+}

agent/utils/env/env.go

@@ -10,7 +10,7 @@ import (
 )
 
 func Write(envMap map[string]string, filename string) error {
-	content, err := marshal(envMap)
+	content, err := Marshal(envMap)
 	if err != nil {
 		return err
 	}
@@ -26,7 +26,7 @@ func Write(envMap map[string]string, filename string) error {
 	return file.Sync()
 }
 
-func marshal(envMap map[string]string) (string, error) {
+func Marshal(envMap map[string]string) (string, error) {
 	lines := make([]string, 0, len(envMap))
 	for k, v := range envMap {
 		if d, err := strconv.Atoi(v); err == nil && !isStartWithZero(v) {
@@ -37,10 +37,64 @@ func marshal(envMap map[string]string) (string, error) {
 			lines = append(lines, fmt.Sprintf(`%s="%s"`, k, v))
 		}
 	}
-	sort.Strings(lines)
 	return strings.Join(lines, "\n"), nil
 }
 
+func WriteWithOrder(envMap map[string]string, filename string, orders []string) error {
+	content, err := MarshalWithOrder(envMap, orders)
+	if err != nil {
+		return err
+	}
+	file, err := os.Create(filename)
+	if err != nil {
+		return err
+	}
+	defer file.Close()
+	_, err = file.WriteString(content + "\n")
+	if err != nil {
+		return err
+	}
+	return file.Sync()
+}
+
+func MarshalWithOrder(envMap map[string]string, orders []string) (string, error) {
+	lines := make([]string, 0, len(envMap))
+	for _, k := range orders {
+		if v, ok := envMap[k]; ok {
+			lines = append(lines, formatEnvLine(k, v))
+		}
+	}
+
+	extraKeys := make([]string, 0)
+	for k := range envMap {
+		found := false
+		for _, okk := range orders {
+			if k == okk {
+				found = true
+				break
+			}
+		}
+		if !found {
+			extraKeys = append(extraKeys, k)
+		}
+	}
+	sort.Strings(extraKeys)
+	for _, k := range extraKeys {
+		lines = append(lines, formatEnvLine(k, envMap[k]))
+	}
+	return strings.Join(lines, "\n"), nil
+}
+
+func formatEnvLine(k, v string) string {
+	if d, err := strconv.Atoi(v); err == nil && !isStartWithZero(v) {
+		return fmt.Sprintf(`%s=%d`, k, d)
+	} else if hasEvenDoubleQuotes(v) {
+		return fmt.Sprintf(`%s='%s'`, k, v)
+	} else {
+		return fmt.Sprintf(`%s="%s"`, k, v)
+	}
+}
+
 func GetEnvValueByKey(envPath, key string) (string, error) {
 	envMap, err := godotenv.Read(envPath)
 	if err != nil {

ci/script.sh

@@ -17,11 +17,11 @@ download_resources() {
   fi
 
   if [ ! -f "1panel-core.service" ]; then
-    wget https://github.com/1Panel-dev/installer/raw/v2/1panel-core.service
+    wget https://github.com/1Panel-dev/installer/raw/v2/initscript/1panel-core.service
   fi
 
   if [ ! -f "1panel-agent.service" ]; then
-    wget https://github.com/1Panel-dev/installer/raw/v2/1panel-agent.service
+    wget https://github.com/1Panel-dev/installer/raw/v2/initscript/1panel-agent.service
   fi
 
   if [ ! -d "lang" ]; then

core/app/api/v2/auth.go

@@ -2,6 +2,8 @@ package v2
 
 import (
 	"encoding/base64"
+	"os"
+	"path"
 
 	"github.com/1Panel-dev/1Panel/core/app/api/v2/helper"
 	"github.com/1Panel-dev/1Panel/core/app/dto"
@@ -125,6 +127,20 @@ func (b *BaseApi) GetResponsePage(c *gin.Context) {
 	helper.SuccessWithData(c, pageCode)
 }
 
+func (b *BaseApi) GetWelcomePage(c *gin.Context) {
+	count, _, _ := logService.PageLoginLog(c, dto.SearchLgLogWithPage{PageInfo: dto.PageInfo{Page: 1, PageSize: 10}})
+	if count != 1 {
+		helper.Success(c)
+		return
+	}
+	file, err := os.ReadFile(path.Join(global.CONF.Base.InstallDir, "1panel/welcome/index.html"))
+	if err != nil {
+		helper.InternalServer(c, err)
+		return
+	}
+	helper.SuccessWithData(c, string(file))
+}
+
 // @Tags Auth
 // @Summary Get Setting For Login
 // @Success 200 {object} dto.SystemSetting

core/router/ro_base.go

@@ -16,5 +16,6 @@ func (s *BaseRouter) InitRouter(Router *gin.RouterGroup) {
 		baseRouter.POST("/login", baseApi.Login)
 		baseRouter.POST("/logout", baseApi.LogOut)
 		baseRouter.GET("/setting", baseApi.GetLoginSetting)
+		baseRouter.GET("/welcome", baseApi.GetWelcomePage)
 	}
 }

core/server/server.go

@@ -9,6 +9,7 @@ import (
 	"net/http"
 	"os"
 	"path"
+	"time"
 
 	"github.com/1Panel-dev/1Panel/core/init/db"
 	"github.com/1Panel-dev/1Panel/core/init/geo"
@@ -58,6 +59,10 @@ func Start() {
 	server := &http.Server{
 		Addr:              global.CONF.Conn.BindAddress + ":" + global.CONF.Conn.Port,
 		Handler:           rootRouter,
+		ReadHeaderTimeout: 5 * time.Second,
+		ReadTimeout:       600 * time.Second,
+		WriteTimeout:      600 * time.Second,
+		IdleTimeout:       240 * time.Second,
 	}
 	ln, err := net.Listen(tcpItem, server.Addr)
 	if err != nil {

frontend/src/api/modules/auth.ts

@@ -20,3 +20,7 @@ export const logOutApi = () => {
 export const getLoginSetting = () => {
     return http.get<Login.LoginSetting>('/core/auth/setting');
 };
+
+export const getWelcomePage = () => {
+    return http.get<string>('/core/auth/welcome');
+};

frontend/src/components/complex-table/index.vue

@@ -109,7 +109,7 @@ const mobile = computed(() => {
     return globalStore.isMobile();
 });
 const tableRef = ref();
-const tableHeight = ref(0);
+const tableHeight = ref<number | string>('');
 const menuRef = ref<HTMLElement | null>(null);
 const leftSelect = ref(false);
 

frontend/src/lang/modules/en.ts

@@ -728,9 +728,11 @@ const message = {
             llm: 'TensorRT LLM',
             modelDir: 'Model Directory',
             commandHelper:
-                'After /models in the startup command, the model name needs to be completed; if external access is required, set the port in the command to be the same as the application port',
+                'If external access is needed, set the port in the command to be the same as the application port',
             imageAlert:
                 'Due to the large image size, it is recommended to manually download the image to the server before installation',
+            modelSpeedup: 'Enable model acceleration',
+            modelType: 'Model type',
         },
     },
     container: {

frontend/src/lang/modules/es-es.ts

@@ -729,9 +729,11 @@ const message = {
             llm: 'TensorRT LLM',
             modelDir: 'Directorio del Modelo',
             commandHelper:
-                'Después de /models en el comando de inicio, se debe completar el nombre del modelo; si se requiere acceso externo, configure el puerto en el comando para que sea el mismo que el puerto de la aplicación',
+                'Si se necesita acceso externo, establezca el puerto en el comando para que sea el mismo que el puerto de la aplicación',
             imageAlert:
                 'Debido al gran tamaño de la imagen, se recomienda descargar manualmente la imagen al servidor antes de la instalación',
+            modelSpeedup: 'Habilitar aceleración de modelo',
+            modelType: 'Tipo de modelo',
         },
     },
     container: {

frontend/src/lang/modules/ja.ts

@@ -716,9 +716,11 @@ const message = {
             llm: 'TensorRT LLM',
             modelDir: 'モデルディレクトリ',
             commandHelper:
-                '起動コマンドの /models の後にはモデル名を補完する必要があります；外部アクセスが必要な場合は、コマンド内のポートをアプリケーションポートと同じに設定してください',
+                '外部アクセスが必要な場合は、コマンド内のポートをアプリケーションポートと同じに設定してください',
             imageAlert:
                 'イメージサイズが大きいため、インストール前にサーバーにイメージを手動でダウンロードすることをお勧めします',
+            modelSpeedup: 'モデル加速を有効化',
+            modelType: 'モデルタイプ',
         },
     },
     container: {

frontend/src/lang/modules/ko.ts

@@ -711,9 +711,10 @@ const message = {
         tensorRT: {
             llm: 'TensorRT LLM',
             modelDir: '모델 디렉토리',
-            commandHelper:
+            commandHelper: '외부 액세스가 필요한 경우 명령에서 포트를 애플리케이션 포트와 동일하게 설정하십시오',
-                '시작 명령의 /models 뒤에는 모델 이름을 완성해야 합니다; 외부 액세스가 필요한 경우 명령의 포트를 애플리케이션 포트와 동일하게 설정하세요',
             imageAlert: '이미지 크기가 크므로 설치 전에 서버에 이미지를 수동으로 다운로드하는 것이 좋습니다',
+            modelSpeedup: '모델 가속 활성화',
+            modelType: '모델 유형',
         },
     },
     container: {

frontend/src/lang/modules/ms.ts

@@ -728,10 +728,11 @@ const message = {
         tensorRT: {
             llm: 'TensorRT LLM',
             modelDir: 'Direktori Model',
-            commandHelper:
+            commandHelper: 'Jika akses luar diperlukan, tetapkan port dalam arahan sama dengan port aplikasi',
-                'Selepas /models dalam arahan permulaan, nama model perlu dilengkapkan; jika akses luar diperlukan, tetapkan port dalam arahan sama dengan port aplikasi',
             imageAlert:
                 'Disebabkan saiz imej yang besar, disyorkan untuk memuat turun imej secara manual ke pelayan sebelum pemasangan',
+            modelSpeedup: 'Dayakan pecutan model',
+            modelType: 'Jenis model',
         },
     },
     container: {

frontend/src/lang/modules/pt-br.ts

@@ -725,9 +725,11 @@ const message = {
             llm: 'TensorRT LLM',
             modelDir: 'Diretório do Modelo',
             commandHelper:
-                'Após /models no comando de inicialização, o nome do modelo precisa ser completado; se for necessário acesso externo, defina a porta no comando para ser a mesma que a porta do aplicativo',
+                'Se for necessário acesso externo, defina a porta no comando para ser a mesma que a porta do aplicativo',
             imageAlert:
                 'Devido ao grande tamanho da imagem, recomenda-se baixar manualmente a imagem para o servidor antes da instalação',
+            modelSpeedup: 'Ativar aceleração de modelo',
+            modelType: 'Tipo de modelo',
         },
     },
     container: {

frontend/src/lang/modules/ru.ts

@@ -722,10 +722,11 @@ const message = {
         tensorRT: {
             llm: 'TensorRT LLM',
             modelDir: 'Каталог модели',
-            commandHelper:
+            commandHelper: 'Если требуется внешний доступ, установите порт в команде таким же, как порт приложения',
-                'После /models в команде запуска необходимо указать имя модели; если требуется внешний доступ, установите порт в команде таким же, как порт приложения',
             imageAlert:
                 'Из-за большого размера образа рекомендуется вручную загрузить образ на сервер перед установкой',
+            modelSpeedup: 'Включить ускорение модели',
+            modelType: 'Тип модели',
         },
     },
     container: {

frontend/src/lang/modules/tr.ts

@@ -737,9 +737,11 @@ const message = {
             llm: 'TensorRT LLM',
             modelDir: 'Model Dizini',
             commandHelper:
-                'Başlatma komutundaki /models sonrasında model adı tamamlanmalıdır; harici erişim gerekiyorsa, komuttaki bağlantı noktasını uygulama bağlantı noktasıyla aynı olacak şekilde ayarlayın',
+                'Harici erişim gerekiyorsa, komuttaki bağlantı noktasını uygulama bağlantı noktasıyla aynı olacak şekilde ayarlayın',
             imageAlert:
                 'Görüntü boyutu büyük olduğundan, kurulumdan önce görüntüyü sunucuya manuel olarak indirmeniz önerilir',
+            modelSpeedup: 'Model hızlandırmayı etkinleştir',
+            modelType: 'Model türü',
         },
     },
     container: {

frontend/src/lang/modules/zh-Hant.ts

@@ -700,8 +700,10 @@ const message = {
         tensorRT: {
             llm: 'TensorRT LLM',
             modelDir: '模型目錄',
-            commandHelper: '啟動指令中的 /models 後需補全模型名稱；若需外部訪問，請將指令中的埠設定為與應用埠相同',
+            commandHelper: '若需外部訪問，請將命令中的端口設置為與應用端口相同',
             imageAlert: '由於鏡像較大，建議先手動將鏡像下載到伺服器後再進行安裝',
+            modelSpeedup: '啟用模型加速',
+            modelType: '模型類型',
         },
     },
     container: {

frontend/src/lang/modules/zh.ts

@@ -700,8 +700,10 @@ const message = {
         tensorRT: {
             llm: 'TensorRT LLM',
             modelDir: '模型目录',
-            commandHelper: '启动命令中的 /models 后需补全模型名称；若需外部访问，请将命令中的端口设置为与应用端口相同',
+            commandHelper: '若需外部访问，请将命令中的端口设置为与应用端口相同',
             imageAlert: '由于镜像较大，建议先手动将镜像下载到服务器后再进行安装',
+            modelSpeedup: '启用模型加速',
+            modelType: '模型类型',
         },
     },
     container: {

frontend/src/views/ai/model/tensorrt/index.vue

@@ -192,7 +192,7 @@ const buttons = [
     {
         label: i18n.global.t('commons.button.start'),
         disabled: (row: AI.TensorRTLLM) => {
-            return row.status === 'running';
+            return row.status === 'Running';
         },
         click: (row: AI.TensorRTLLM) => {
             operate(row, 'start');
@@ -201,7 +201,7 @@ const buttons = [
     {
         label: i18n.global.t('commons.button.stop'),
         disabled: (row: AI.TensorRTLLM) => {
-            return row.status !== 'running';
+            return row.status !== 'Running';
         },
         click: (row: AI.TensorRTLLM) => {
             operate(row, 'stop');
@@ -209,9 +209,6 @@ const buttons = [
     },
     {
         label: i18n.global.t('commons.button.restart'),
-        disabled: (row: AI.TensorRTLLM) => {
-            return row.status !== 'running';
-        },
         click: (row: AI.TensorRTLLM) => {
             operate(row, 'restart');
         },

frontend/src/views/ai/model/tensorrt/operate/index.vue

@@ -14,6 +14,20 @@
             <el-form-item :label="$t('app.version')" prop="version">
                 <el-input v-model.trim="tensorRTLLM.version" />
             </el-form-item>
+            <div v-if="isFxplay">
+                <el-form-item :label="$t('aiTools.tensorRT.modelSpeedup')" prop="modelSpeedup">
+                    <el-switch v-model="tensorRTLLM.modelSpeedup" @change="changeModelSpeedup"></el-switch>
+                </el-form-item>
+                <el-form-item
+                    :label="$t('aiTools.tensorRT.modelType')"
+                    prop="modelType"
+                    v-if="tensorRTLLM.modelSpeedup"
+                >
+                    <el-select v-model="tensorRTLLM.modelType">
+                        <el-option label="Qwen3" value="Qwen3" />
+                    </el-select>
+                </el-form-item>
+            </div>
             <el-form-item :label="$t('aiTools.tensorRT.modelDir')" prop="modelDir">
                 <el-input v-model="tensorRTLLM.modelDir">
                     <template #prepend>
@@ -62,6 +76,8 @@ import i18n from '@/lang';
 import { ElForm, FormInstance } from 'element-plus';
 import { createTensorRTLLM, updateTensorRTLLM } from '@/api/modules/ai';
 import { MsgSuccess } from '@/utils/message';
+import { useGlobalStore } from '@/composables/useGlobalStore';
+const { isFxplay } = useGlobalStore();
 
 const loading = ref(false);
 const mode = ref('create');
@@ -73,10 +89,12 @@ const newTensorRTLLM = () => {
         version: '1.2.0rc0',
         modelDir: '',
         image: 'nvcr.io/nvidia/tensorrt-llm/release',
-        command: 'bash -c "trtllm-serve /models/ --host 0.0.0.0 --port 8000"',
+        command: 'bash -c "trtllm-serve ${MODEL_PATH} --host 0.0.0.0 --port 8000"',
         exposedPorts: [],
         environments: [],
         volumes: [],
+        modelSpeedup: false,
+        modelType: 'Qwen3',
     };
 };
 const modelDirRef = ref();
@@ -101,6 +119,7 @@ const openEdit = (rowData: any): void => {
     if (tensorRTLLM.value.exposedPorts == null) {
         tensorRTLLM.value.exposedPorts = [];
     }
+    tensorRTLLM.value.command = rowData.command.slice(1, -1).replace(/^'|'$/g, '').replace(/\\"/g, '"');
     drawerVisiable.value = true;
 };
 
@@ -112,6 +131,15 @@ const getModelDir = (path: string) => {
     tensorRTLLM.value.modelDir = path;
 };
 
+const changeModelSpeedup = () => {
+    if (tensorRTLLM.value.modelSpeedup) {
+        tensorRTLLM.value.command =
+            'bash -c "${MODEL_PATH}/fusionxpark_accelerator --model_path ${MODEL_PATH} --host 0.0.0.0 --port 8000"';
+    } else {
+        tensorRTLLM.value.command = 'bash -c "trtllm-serve ${MODEL_PATH} --host 0.0.0.0 --port 8000"';
+    }
+};
+
 const rules = reactive({
     name: [Rules.requiredInput],
     version: [Rules.requiredInput],
@@ -119,6 +147,7 @@ const rules = reactive({
     containerName: [Rules.requiredInput],
     image: [Rules.requiredInput],
     command: [Rules.requiredInput],
+    modelType: [Rules.requiredSelect],
 });
 
 const formRef = ref<FormInstance>();

frontend/src/views/home/index.vue

@@ -302,6 +302,10 @@
 
         <LicenseImport ref="licenseRef" />
         <QuickJump @search="onLoadBaseInfo(false, 'all')" ref="quickJumpRef" />
+
+        <DialogPro v-model="welcomeOpen" size="w-70" id="welcomeDialog">
+            <div ref="shadowContainer" />
+        </DialogPro>
     </div>
 </template>
 
@@ -323,6 +327,7 @@ import { getSettingInfo, listAllSimpleNodes, loadUpgradeInfo } from '@/api/modul
 import { GlobalStore } from '@/store';
 import { storeToRefs } from 'pinia';
 import { routerToFileWithPath, routerToPath } from '@/utils/router';
+import { getWelcomePage } from '@/api/modules/auth';
 const router = useRouter();
 const globalStore = GlobalStore();
 
@@ -331,6 +336,9 @@ const appRef = ref();
 
 const isSafety = ref();
 
+const welcomeOpen = ref();
+const shadowContainer = ref();
+
 const chartOption = ref('network');
 let timer: NodeJS.Timer | null = null;
 let isInit = ref<boolean>(true);
@@ -692,6 +700,21 @@ const fetchData = () => {
     onLoadSimpleNode();
 };
 
+const loadWelcome = async () => {
+    await getWelcomePage().then((res) => {
+        if (res.data) {
+            welcomeOpen.value = true;
+            nextTick(() => {
+                const shadowRoot = shadowContainer.value.attachShadow({ mode: 'open' });
+                shadowRoot.innerHTML = res.data;
+            });
+            localStorage.setItem('welcomeShow', 'false');
+        } else {
+            localStorage.setItem('welcomeShow', 'false');
+        }
+    });
+};
+
 onBeforeRouteUpdate((to, from, next) => {
     if (to.name === 'home') {
         clearTimer();
@@ -707,6 +730,9 @@ const clearTimer = () => {
 
 onMounted(() => {
     fetchData();
+    if (localStorage.getItem('welcomeShow') !== 'false') {
+        loadWelcome();
+    }
 });
 
 onBeforeUnmount(() => {

frontend/src/views/website/runtime/components/node-config.vue

@@ -0,0 +1,45 @@
+<template>
+    <el-tabs type="border-card">
+        <el-tab-pane :label="$t('commons.table.port')">
+            <PortConfig :exposedPorts="runtime.exposedPorts" />
+        </el-tab-pane>
+        <el-tab-pane :label="$t('runtime.environment')">
+            <Environment :environments="runtime.environments" />
+        </el-tab-pane>
+        <el-tab-pane :label="$t('container.mount')">
+            <Volumes :volumes="runtime.volumes" />
+        </el-tab-pane>
+        <el-tab-pane :label="$t('runtime.extraHosts')">
+            <ExtraHosts :extraHosts="runtime.extraHosts" />
+        </el-tab-pane>
+    </el-tabs>
+</template>
+
+<script lang="ts" setup>
+import PortConfig from '@/views/website/runtime/components/port/index.vue';
+import Environment from '@/views/website/runtime/components/environment/index.vue';
+import Volumes from '@/views/website/runtime/components/volume/index.vue';
+import ExtraHosts from '@/views/website/runtime/components/extra_hosts/index.vue';
+import { useVModel } from '@vueuse/core';
+import type { PropType } from 'vue';
+
+interface RuntimeConfigFields {
+    exposedPorts: any[];
+    environments: any[];
+    volumes: any[];
+    extraHosts: any[];
+}
+
+const props = defineProps({
+    modelValue: {
+        type: Object as PropType<RuntimeConfigFields>,
+        required: true,
+    },
+});
+
+const emit = defineEmits<{
+    'update:modelValue': [value: RuntimeConfigFields];
+}>();
+
+const runtime = useVModel(props, 'modelValue', emit);
+</script>