diff --git a/python_core/database/model_postgres.py b/python_core/database/model_postgres.py
index 90c72de..ffcb05e 100644
--- a/python_core/database/model_postgres.py
+++ b/python_core/database/model_postgres.py
@@ -5,24 +5,63 @@
 import uuid
 from datetime import datetime
 from typing import List, Optional, Dict, Any
-import psycopg2
-from psycopg2.extras import RealDictCursor
+from contextlib import contextmanager
+from python_core.config import settings
 from python_core.database.types import Model
-from python_core.database.db_postgres import DatabasePostgres
-from python_core.utils.logger import logger
+from python_core.utils.logger import setup_logger
+
+# 尝试导入 psycopg2，如果失败则提供友好的错误信息
+try:
+    import psycopg2
+    import psycopg2.extras
+    PSYCOPG2_AVAILABLE = True
+except ImportError as e:
+    PSYCOPG2_AVAILABLE = False
+    PSYCOPG2_ERROR = str(e)
+
+logger = setup_logger(__name__)
 
 
-class ModelTablePostgres(DatabasePostgres):
+class ModelTablePostgres:
     """模特表 PostgreSQL 实现"""
-    
+
     def __init__(self):
-        super().__init__()
+        if not PSYCOPG2_AVAILABLE:
+            error_msg = f"""
+PostgreSQL support requires psycopg2 package.
+Please install it using: pip install psycopg2-binary
+
+原始错误: {PSYCOPG2_ERROR}
+"""
+            logger.error(error_msg)
+            raise ImportError(error_msg)
+
+        self.db_url = settings.db
+        self.table_name = "models"
+
+        # 初始化模特表
         self._init_model_table()
+
+    @contextmanager
+    def _get_connection(self):
+        """获取数据库连接的上下文管理器"""
+        conn = None
+        try:
+            conn = psycopg2.connect(self.db_url)
+            yield conn
+        except Exception as e:
+            if conn:
+                conn.rollback()
+            logger.error(f"Database connection error: {e}")
+            raise e
+        finally:
+            if conn:
+                conn.close()
     
     def _init_model_table(self):
         """初始化模特表"""
         try:
-            with self.get_connection() as conn:
+            with self._get_connection() as conn:
                 with conn.cursor() as cursor:
                     # 创建模特表
                     cursor.execute("""
@@ -99,8 +138,8 @@ class ModelTablePostgres(DatabasePostgres):
                     is_cloud: bool = False) -> Optional[Model]:
         """创建模特"""
         try:
-            with self.get_connection() as conn:
-                with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+            with self._get_connection() as conn:
+                with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cursor:
                     cursor.execute("""
                         INSERT INTO models (model_number, model_image, user_id, is_cloud)
                         VALUES (%s, %s, %s, %s)
@@ -131,8 +170,8 @@ class ModelTablePostgres(DatabasePostgres):
     def get_model_by_id(self, model_id: str) -> Optional[Model]:
         """根据ID获取模特"""
         try:
-            with self.get_connection() as conn:
-                with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+            with self._get_connection() as conn:
+                with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cursor:
                     cursor.execute("""
                         SELECT * FROM models WHERE id = %s
                     """, (model_id,))
@@ -150,8 +189,8 @@ class ModelTablePostgres(DatabasePostgres):
     def get_model_by_number(self, model_number: str, user_id: str = "default") -> Optional[Model]:
         """根据模特编号获取模特"""
         try:
-            with self.get_connection() as conn:
-                with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+            with self._get_connection() as conn:
+                with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cursor:
                     cursor.execute("""
                         SELECT * FROM models 
                         WHERE model_number = %s AND user_id = %s
@@ -172,8 +211,8 @@ class ModelTablePostgres(DatabasePostgres):
                       offset: int = 0) -> List[Model]:
         """获取所有模特"""
         try:
-            with self.get_connection() as conn:
-                with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+            with self._get_connection() as conn:
+                with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cursor:
                     # 构建查询条件
                     conditions = []
                     params = []
@@ -224,7 +263,7 @@ class ModelTablePostgres(DatabasePostgres):
                 logger.warning("没有有效的更新字段")
                 return False
             
-            with self.get_connection() as conn:
+            with self._get_connection() as conn:
                 with conn.cursor() as cursor:
                     # 构建更新语句
                     set_clauses = []
@@ -266,7 +305,7 @@ class ModelTablePostgres(DatabasePostgres):
     def delete_model(self, model_id: str, hard_delete: bool = False) -> bool:
         """删除模特"""
         try:
-            with self.get_connection() as conn:
+            with self._get_connection() as conn:
                 with conn.cursor() as cursor:
                     if hard_delete:
                         # 硬删除
@@ -298,31 +337,33 @@ class ModelTablePostgres(DatabasePostgres):
                      include_cloud: bool = True, limit: int = 50) -> List[Model]:
         """搜索模特"""
         try:
-            with self.get_connection() as conn:
-                with conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                    # 构建查询条件
-                    conditions = ["is_active = true"]
-                    params = [f"%{query}%"]
-                    
+            with self._get_connection() as conn:
+                with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cursor:
+                    # 简化搜索逻辑
+                    search_pattern = f"%{query}%"
+
                     if include_cloud:
-                        conditions.append("(user_id = %s OR is_cloud = true)")
-                        params.append(user_id)
+                        cursor.execute("""
+                            SELECT * FROM models
+                            WHERE model_number ILIKE %s
+                            AND is_active = true
+                            AND (user_id = %s OR is_cloud = true)
+                            ORDER BY
+                                CASE WHEN model_number ILIKE %s THEN 1 ELSE 2 END,
+                                created_at DESC
+                            LIMIT %s
+                        """, (search_pattern, user_id, search_pattern, limit))
                     else:
-                        conditions.append("user_id = %s")
-                        params.append(user_id)
-                    
-                    params.append(limit)
-                    
-                    where_clause = " AND ".join(conditions)
-                    
-                    cursor.execute(f"""
-                        SELECT * FROM models 
-                        WHERE model_number ILIKE %s AND {where_clause}
-                        ORDER BY 
-                            CASE WHEN model_number ILIKE %s THEN 1 ELSE 2 END,
-                            created_at DESC
-                        LIMIT %s
-                    """, [f"%{query}%"] + params)
+                        cursor.execute("""
+                            SELECT * FROM models
+                            WHERE model_number ILIKE %s
+                            AND is_active = true
+                            AND user_id = %s
+                            ORDER BY
+                                CASE WHEN model_number ILIKE %s THEN 1 ELSE 2 END,
+                                created_at DESC
+                            LIMIT %s
+                        """, (search_pattern, user_id, search_pattern, limit))
                     
                     rows = cursor.fetchall()
                     return [self._row_to_model(row) for row in rows]
@@ -337,7 +378,7 @@ class ModelTablePostgres(DatabasePostgres):
                        include_inactive: bool = False) -> int:
         """获取模特数量"""
         try:
-            with self.get_connection() as conn:
+            with self._get_connection() as conn:
                 with conn.cursor() as cursor:
                     # 构建查询条件
                     conditions = []
@@ -371,7 +412,7 @@ class ModelTablePostgres(DatabasePostgres):
     def toggle_model_status(self, model_id: str) -> bool:
         """切换模特状态"""
         try:
-            with self.get_connection() as conn:
+            with self._get_connection() as conn:
                 with conn.cursor() as cursor:
                     cursor.execute("""
                         UPDATE models 
diff --git a/src-tauri/src/commands/model.rs b/src-tauri/src/commands/model.rs
index 558a871..df682aa 100644
--- a/src-tauri/src/commands/model.rs
+++ b/src-tauri/src/commands/model.rs
@@ -1,101 +1,273 @@
 use serde::{Deserialize, Serialize};
-use tauri::{command, AppHandle};
-use crate::python_executor::execute_python_command;
+use tauri::AppHandle;
+use crate::utils::python_cli::execute_python_cli_command;
 
 #[derive(Debug, Serialize, Deserialize)]
-pub struct CreateModelRequest {
-    pub model_number: String,
-    pub model_image: Option<String>,
+pub struct ModelResponse {
+    pub success: bool,
+    pub data: Option<serde_json::Value>,
+    pub error: Option<String>,
+    pub message: Option<String>,
 }
 
-#[derive(Debug, Serialize, Deserialize)]
-pub struct UpdateModelRequest {
+#[derive(Debug, Deserialize)]
+pub struct ModelCreateRequest {
+    pub model_number: String,
+    pub model_image: String,
+    pub user_id: Option<String>,
+    pub is_cloud: Option<bool>,
+    pub verbose: Option<bool>,
+    pub json_output: Option<bool>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct ModelListRequest {
+    pub user_id: Option<String>,
+    pub include_cloud: Option<bool>,
+    pub include_inactive: Option<bool>,
+    pub limit: Option<i32>,
+    pub offset: Option<i32>,
+    pub verbose: Option<bool>,
+    pub json_output: Option<bool>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct ModelGetRequest {
+    pub model_id: String,
+    pub verbose: Option<bool>,
+    pub json_output: Option<bool>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct ModelUpdateRequest {
+    pub model_id: String,
     pub model_number: Option<String>,
     pub model_image: Option<String>,
+    pub is_active: Option<bool>,
+    pub is_cloud: Option<bool>,
+    pub verbose: Option<bool>,
+    pub json_output: Option<bool>,
 }
 
-/// 获取所有模特
-#[command]
-pub async fn get_all_models(app: AppHandle) -> Result<String, String> {
-    let args = vec![
-        "-m".to_string(),
-        "python_core.services.model_manager".to_string(),
-        "get_all_models".to_string(),
-    ];
-    
-    execute_python_command(app, &args, None).await
+#[derive(Debug, Deserialize)]
+pub struct ModelDeleteRequest {
+    pub model_id: String,
+    pub hard_delete: Option<bool>,
+    pub verbose: Option<bool>,
+    pub json_output: Option<bool>,
 }
 
-/// 根据ID获取模特
-#[command]
-pub async fn get_model_by_id(app: AppHandle, model_id: String) -> Result<String, String> {
-    let args = vec![
-        "-m".to_string(),
-        "python_core.services.model_manager".to_string(),
-        "get_model_by_id".to_string(),
-        model_id,
-    ];
-    
-    execute_python_command(app, &args, None).await
+#[derive(Debug, Deserialize)]
+pub struct ModelSearchRequest {
+    pub query: String,
+    pub user_id: Option<String>,
+    pub include_cloud: Option<bool>,
+    pub limit: Option<i32>,
+    pub verbose: Option<bool>,
+    pub json_output: Option<bool>,
 }
 
-/// 创建新模特
-#[command]
-pub async fn create_model(app: AppHandle, request: CreateModelRequest) -> Result<String, String> {
-    let args = vec![
-        "-m".to_string(),
-        "python_core.services.model_manager".to_string(),
-        "create_model".to_string(),
+/// 创建模特
+#[tauri::command]
+pub async fn create_model_cli(
+    app: AppHandle,
+    request: ModelCreateRequest,
+) -> Result<ModelResponse, String> {
+    let mut args = vec![
+        "model".to_string(),
+        "create".to_string(),
         request.model_number,
-        request.model_image.unwrap_or_default(),
+        request.model_image,
     ];
-    
-    execute_python_command(app, &args, None).await
+
+    if let Some(user_id) = request.user_id {
+        args.push("--user-id".to_string());
+        args.push(user_id);
+    }
+
+    if request.is_cloud.unwrap_or(false) {
+        args.push("--cloud".to_string());
+    }
+
+    if request.verbose.unwrap_or(false) {
+        args.push("--verbose".to_string());
+    }
+
+    if request.json_output.unwrap_or(true) {
+        args.push("--json".to_string());
+    }
+
+    execute_python_cli_command(app, args).await
+}
+
+/// 获取模特列表
+#[tauri::command]
+pub async fn list_models_cli(
+    app: AppHandle,
+    request: ModelListRequest,
+) -> Result<ModelResponse, String> {
+    let mut args = vec!["model".to_string(), "list".to_string()];
+
+    if let Some(user_id) = request.user_id {
+        args.push("--user-id".to_string());
+        args.push(user_id);
+    }
+
+    if request.include_cloud.unwrap_or(true) {
+        args.push("--include-cloud".to_string());
+    }
+
+    if request.include_inactive.unwrap_or(false) {
+        args.push("--include-inactive".to_string());
+    }
+
+    if let Some(limit) = request.limit {
+        args.push("--limit".to_string());
+        args.push(limit.to_string());
+    }
+
+    if let Some(offset) = request.offset {
+        args.push("--offset".to_string());
+        args.push(offset.to_string());
+    }
+
+    if request.verbose.unwrap_or(false) {
+        args.push("--verbose".to_string());
+    }
+
+    if request.json_output.unwrap_or(true) {
+        args.push("--json".to_string());
+    }
+
+    execute_python_cli_command(app, args).await
+}
+
+/// 获取模特详情
+#[tauri::command]
+pub async fn get_model_cli(
+    app: AppHandle,
+    request: ModelGetRequest,
+) -> Result<ModelResponse, String> {
+    let mut args = vec![
+        "model".to_string(),
+        "get".to_string(),
+        request.model_id,
+    ];
+
+    if request.verbose.unwrap_or(false) {
+        args.push("--verbose".to_string());
+    }
+
+    if request.json_output.unwrap_or(true) {
+        args.push("--json".to_string());
+    }
+
+    execute_python_cli_command(app, args).await
 }
 
 /// 更新模特
-#[command]
-pub async fn update_model(
+#[tauri::command]
+pub async fn update_model_cli(
     app: AppHandle,
-    model_id: String,
-    request: UpdateModelRequest,
-) -> Result<String, String> {
-    let request_json = serde_json::to_string(&request)
-        .map_err(|e| format!("Failed to serialize request: {}", e))?;
-    
-    let args = vec![
-        "-m".to_string(),
-        "python_core.services.model_manager".to_string(),
-        "update_model".to_string(),
-        model_id,
-        request_json,
+    request: ModelUpdateRequest,
+) -> Result<ModelResponse, String> {
+    let mut args = vec![
+        "model".to_string(),
+        "update".to_string(),
+        request.model_id,
     ];
-    
-    execute_python_command(app, &args, None).await
+
+    if let Some(model_number) = request.model_number {
+        args.push("--model-number".to_string());
+        args.push(model_number);
+    }
+
+    if let Some(model_image) = request.model_image {
+        args.push("--model-image".to_string());
+        args.push(model_image);
+    }
+
+    if let Some(is_active) = request.is_active {
+        args.push("--active".to_string());
+        args.push(is_active.to_string());
+    }
+
+    if let Some(is_cloud) = request.is_cloud {
+        args.push("--cloud".to_string());
+        args.push(is_cloud.to_string());
+    }
+
+    if request.verbose.unwrap_or(false) {
+        args.push("--verbose".to_string());
+    }
+
+    if request.json_output.unwrap_or(true) {
+        args.push("--json".to_string());
+    }
+
+    execute_python_cli_command(app, args).await
 }
 
 /// 删除模特
-#[command]
-pub async fn delete_model(app: AppHandle, model_id: String) -> Result<String, String> {
-    let args = vec![
-        "-m".to_string(),
-        "python_core.services.model_manager".to_string(),
-        "delete_model".to_string(),
-        model_id,
+#[tauri::command]
+pub async fn delete_model_cli(
+    app: AppHandle,
+    request: ModelDeleteRequest,
+) -> Result<ModelResponse, String> {
+    let mut args = vec![
+        "model".to_string(),
+        "delete".to_string(),
+        request.model_id,
     ];
-    
-    execute_python_command(app, &args, None).await
+
+    if request.hard_delete.unwrap_or(false) {
+        args.push("--hard".to_string());
+    }
+
+    if request.verbose.unwrap_or(false) {
+        args.push("--verbose".to_string());
+    }
+
+    if request.json_output.unwrap_or(true) {
+        args.push("--json".to_string());
+    }
+
+    execute_python_cli_command(app, args).await
 }
 
 /// 搜索模特
-#[command]
-pub async fn search_models(app: AppHandle, keyword: String) -> Result<String, String> {
-    let args = vec![
-        "-m".to_string(),
-        "python_core.services.model_manager".to_string(),
-        "search_models".to_string(),
-        keyword,
+#[tauri::command]
+pub async fn search_models_cli(
+    app: AppHandle,
+    request: ModelSearchRequest,
+) -> Result<ModelResponse, String> {
+    let mut args = vec![
+        "model".to_string(),
+        "search".to_string(),
+        request.query,
     ];
-    
-    execute_python_command(app, &args, None).await
+
+    if let Some(user_id) = request.user_id {
+        args.push("--user-id".to_string());
+        args.push(user_id);
+    }
+
+    if request.include_cloud.unwrap_or(true) {
+        args.push("--include-cloud".to_string());
+    }
+
+    if let Some(limit) = request.limit {
+        args.push("--limit".to_string());
+        args.push(limit.to_string());
+    }
+
+    if request.verbose.unwrap_or(false) {
+        args.push("--verbose".to_string());
+    }
+
+    if request.json_output.unwrap_or(true) {
+        args.push("--json".to_string());
+    }
+
+    execute_python_cli_command(app, args).await
 }
diff --git a/src-tauri/src/lib.rs b/src-tauri/src/lib.rs
index 48a5a94..e9671a5 100644
--- a/src-tauri/src/lib.rs
+++ b/src-tauri/src/lib.rs
@@ -73,12 +73,12 @@ pub fn run() {
       commands::project::scan_directory,
       commands::project::open_file_in_system,
       commands::project::delete_file,
-      commands::model::get_all_models,
-      commands::model::get_model_by_id,
-      commands::model::create_model,
-      commands::model::update_model,
-      commands::model::delete_model,
-      commands::model::search_models,
+      commands::model::list_models_cli,
+      commands::model::get_model_cli,
+      commands::model::create_model_cli,
+      commands::model::update_model_cli,
+      commands::model::delete_model_cli,
+      commands::model::search_models_cli,
       commands::audio::get_all_audio_files,
       commands::audio::get_audio_by_id,
       commands::audio::get_audio_by_md5,
diff --git a/src/services/ModelServiceV2.ts b/src/services/ModelServiceV2.ts
new file mode 100644
index 0000000..e965caf
--- /dev/null
+++ b/src/services/ModelServiceV2.ts
@@ -0,0 +1,370 @@
+import { invoke } from '@tauri-apps/api/tauri'
+
+export interface Model {
+  id: string
+  model_number: string
+  model_image: string
+  is_active: boolean
+  is_cloud: boolean
+  user_id: string
+  created_at: string
+  updated_at: string
+}
+
+export interface ModelResponse {
+  success: boolean
+  data?: any
+  error?: string
+  message?: string
+}
+
+export interface ModelCreateRequest {
+  model_number: string
+  model_image: string
+  user_id?: string
+  is_cloud?: boolean
+  verbose?: boolean
+  json_output?: boolean
+}
+
+export interface ModelListRequest {
+  user_id?: string
+  include_cloud?: boolean
+  include_inactive?: boolean
+  limit?: number
+  offset?: number
+  verbose?: boolean
+  json_output?: boolean
+}
+
+export interface ModelGetRequest {
+  model_id: string
+  verbose?: boolean
+  json_output?: boolean
+}
+
+export interface ModelUpdateRequest {
+  model_id: string
+  model_number?: string
+  model_image?: string
+  is_active?: boolean
+  is_cloud?: boolean
+  verbose?: boolean
+  json_output?: boolean
+}
+
+export interface ModelDeleteRequest {
+  model_id: string
+  hard_delete?: boolean
+  verbose?: boolean
+  json_output?: boolean
+}
+
+export interface ModelSearchRequest {
+  query: string
+  user_id?: string
+  include_cloud?: boolean
+  limit?: number
+  verbose?: boolean
+  json_output?: boolean
+}
+
+export class ModelServiceV2 {
+  /**
+   * 获取当前用户ID
+   */
+  private static getCurrentUserId(): string {
+    // 这里应该从认证服务获取当前用户ID
+    // 暂时返回默认值
+    return 'default'
+  }
+
+  /**
+   * 创建模特
+   */
+  static async createModel(
+    modelNumber: string,
+    modelImage: string,
+    isCloud: boolean = false,
+    userId?: string
+  ): Promise<Model> {
+    try {
+      const request: ModelCreateRequest = {
+        model_number: modelNumber,
+        model_image: modelImage,
+        user_id: userId || this.getCurrentUserId(),
+        is_cloud: isCloud,
+        verbose: false,
+        json_output: true
+      }
+
+      const response = await invoke<ModelResponse>('create_model_cli', { request })
+      
+      if (!response.success) {
+        throw new Error(response.error || response.message || 'Failed to create model')
+      }
+
+      return response.data?.model
+    } catch (error) {
+      console.error('Create model failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 获取模特列表
+   */
+  static async getAllModels(
+    includeCloud: boolean = true,
+    includeInactive: boolean = false,
+    limit: number = 100,
+    offset: number = 0,
+    userId?: string
+  ): Promise<{ models: Model[], total_count: number }> {
+    try {
+      const request: ModelListRequest = {
+        user_id: userId || this.getCurrentUserId(),
+        include_cloud: includeCloud,
+        include_inactive: includeInactive,
+        limit: limit,
+        offset: offset,
+        verbose: false,
+        json_output: true
+      }
+
+      const response = await invoke<ModelResponse>('list_models_cli', { request })
+      
+      if (!response.success) {
+        throw new Error(response.error || response.message || 'Failed to get models')
+      }
+
+      return {
+        models: response.data?.models || [],
+        total_count: response.data?.total_count || 0
+      }
+    } catch (error) {
+      console.error('Get models failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 根据ID获取模特
+   */
+  static async getModelById(modelId: string): Promise<Model | null> {
+    try {
+      const request: ModelGetRequest = {
+        model_id: modelId,
+        verbose: false,
+        json_output: true
+      }
+
+      const response = await invoke<ModelResponse>('get_model_cli', { request })
+      
+      if (!response.success) {
+        if (response.error?.includes('不存在')) {
+          return null
+        }
+        throw new Error(response.error || response.message || 'Failed to get model')
+      }
+
+      return response.data?.model || null
+    } catch (error) {
+      console.error('Get model failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 更新模特
+   */
+  static async updateModel(
+    modelId: string,
+    updates: {
+      model_number?: string
+      model_image?: string
+      is_active?: boolean
+      is_cloud?: boolean
+    }
+  ): Promise<boolean> {
+    try {
+      const request: ModelUpdateRequest = {
+        model_id: modelId,
+        ...updates,
+        verbose: false,
+        json_output: true
+      }
+
+      const response = await invoke<ModelResponse>('update_model_cli', { request })
+      
+      if (!response.success) {
+        throw new Error(response.error || response.message || 'Failed to update model')
+      }
+
+      return true
+    } catch (error) {
+      console.error('Update model failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 删除模特
+   */
+  static async deleteModel(modelId: string, hardDelete: boolean = false): Promise<boolean> {
+    try {
+      const request: ModelDeleteRequest = {
+        model_id: modelId,
+        hard_delete: hardDelete,
+        verbose: false,
+        json_output: true
+      }
+
+      const response = await invoke<ModelResponse>('delete_model_cli', { request })
+      
+      if (!response.success) {
+        throw new Error(response.error || response.message || 'Failed to delete model')
+      }
+
+      return true
+    } catch (error) {
+      console.error('Delete model failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 搜索模特
+   */
+  static async searchModels(
+    query: string,
+    includeCloud: boolean = true,
+    limit: number = 50,
+    userId?: string
+  ): Promise<Model[]> {
+    try {
+      const request: ModelSearchRequest = {
+        query: query,
+        user_id: userId || this.getCurrentUserId(),
+        include_cloud: includeCloud,
+        limit: limit,
+        verbose: false,
+        json_output: true
+      }
+
+      const response = await invoke<ModelResponse>('search_models_cli', { request })
+      
+      if (!response.success) {
+        throw new Error(response.error || response.message || 'Failed to search models')
+      }
+
+      return response.data?.models || []
+    } catch (error) {
+      console.error('Search models failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 切换模特状态
+   */
+  static async toggleModelStatus(modelId: string): Promise<boolean> {
+    try {
+      // 先获取当前模特信息
+      const model = await this.getModelById(modelId)
+      if (!model) {
+        throw new Error('模特不存在')
+      }
+
+      // 更新状态
+      return await this.updateModel(modelId, {
+        is_active: !model.is_active
+      })
+    } catch (error) {
+      console.error('Toggle model status failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 获取模特数量统计
+   */
+  static async getModelStats(
+    includeCloud: boolean = true,
+    userId?: string
+  ): Promise<{
+    total: number
+    active: number
+    inactive: number
+    cloud: number
+    local: number
+  }> {
+    try {
+      const { models } = await this.getAllModels(includeCloud, true, 1000, 0, userId)
+      
+      const stats = {
+        total: models.length,
+        active: models.filter(m => m.is_active).length,
+        inactive: models.filter(m => !m.is_active).length,
+        cloud: models.filter(m => m.is_cloud).length,
+        local: models.filter(m => !m.is_cloud).length
+      }
+
+      return stats
+    } catch (error) {
+      console.error('Get model stats failed:', error)
+      throw error
+    }
+  }
+
+  /**
+   * 批量删除模特
+   */
+  static async batchDeleteModels(
+    modelIds: string[],
+    hardDelete: boolean = false
+  ): Promise<{ success: string[], failed: string[] }> {
+    const results = {
+      success: [] as string[],
+      failed: [] as string[]
+    }
+
+    for (const modelId of modelIds) {
+      try {
+        await this.deleteModel(modelId, hardDelete)
+        results.success.push(modelId)
+      } catch (error) {
+        console.error(`Failed to delete model ${modelId}:`, error)
+        results.failed.push(modelId)
+      }
+    }
+
+    return results
+  }
+
+  /**
+   * 验证模特编号是否唯一
+   */
+  static async isModelNumberUnique(
+    modelNumber: string,
+    excludeId?: string,
+    userId?: string
+  ): Promise<boolean> {
+    try {
+      const models = await this.searchModels(modelNumber, true, 10, userId)
+      
+      // 检查是否有完全匹配的模特编号
+      const exactMatch = models.find(m => 
+        m.model_number === modelNumber && 
+        m.id !== excludeId
+      )
+      
+      return !exactMatch
+    } catch (error) {
+      console.error('Check model number uniqueness failed:', error)
+      return false
+    }
+  }
+}
+
+export default ModelServiceV2