fix: verify provider connection online

backend-fastapi/ai_platform/api/provider_api.py

@@ -142,7 +142,7 @@ async def delete_provider(provider_id: str, db: AsyncSession = Depends(get_db)):
 
 @router.post("/{provider_id}/test", summary="测试提供商连接")
 async def test_provider(provider_id: str, db: AsyncSession = Depends(get_db)):
-    """测试提供商连接"""
+    """通过真实模型接口测试提供商连接"""
     result = await db.execute(
         select(LLMProvider).where(
             LLMProvider.id == provider_id,
@@ -152,37 +152,43 @@ async def test_provider(provider_id: str, db: AsyncSession = Depends(get_db)):
     provider = result.scalar_one_or_none()
     if not provider:
         raise HTTPException(status_code=404, detail="提供商不存在")
-    
-    # 创建提供商实例
+
+    api_base = provider.api_base or ''
+    instance_kwargs = {}
+    if provider.provider_type == 'ollama' and provider.ollama_host:
+        api_base = provider.ollama_host
+        instance_kwargs['ollama_host'] = provider.ollama_host
+
     provider_instance = ProviderRegistry.create_instance(
         provider_type=provider.provider_type,
         api_key=provider.api_key,
-        api_base=provider.api_base,
-        ollama_host=provider.ollama_host,
+        api_base=api_base,
+        **instance_kwargs,
     )
-    
     if not provider_instance:
         raise HTTPException(status_code=400, detail=f"不支持的提供商类型: {provider.provider_type}")
-    
-    # 验证配置
+
     if not provider_instance.validate_config():
         raise HTTPException(status_code=400, detail="配置无效，请检查 API Key")
-    
-    # 尝试获取模型列表（如果支持）
-    try:
-        models = provider_instance.get_available_models()
-        return {
-            "success": True,
-            "message": "连接成功",
-            "models": models,
-        }
-    except Exception as e:
-        logger.warning(f"获取模型列表失败: {e}")
-        return {
-            "success": True,
-            "message": "连接成功（无法获取模型列表）",
-            "models": [],
-        }
+
+    models = await provider_instance.fetch_models_from_api()
+    if not models:
+        logger.warning(
+            "Provider online test failed: no models returned "
+            f"[provider={provider.name}, type={provider.provider_type}, api_base={api_base or '(empty)'}]"
+        )
+        raise HTTPException(
+            status_code=400,
+            detail="连接失败：模型接口未返回可用模型，请检查 Base URL、API Key 或网络连通性",
+        )
+
+    return {
+        "success": True,
+        "message": f"连接成功，已从模型接口拉取到 {len(models)} 个模型",
+        "source": "api",
+        "model_count": len(models),
+        "models": models[:20],
+    }
 
 
 @router.get("/{provider_id}/default-models", summary="获取默认模型列表")

web/apps/web-ele/src/api/ai-platform/ai-platform.ts

@@ -391,7 +391,9 @@ export async function deleteProviderApi(id: string) {
 export async function testProviderApi(id: string) {
   return requestClient.post<{
     message: string;
-    models: any[];
+    model_count: number;
+    models: DefaultModel[];
+    source: 'api';
     success: boolean;
   }>(`${BASE_URL}/provider/${id}/test`);
 }

web/apps/web-ele/src/views/ai-platform/model/model-config-form.vue

@@ -332,7 +332,14 @@ async function handleTestProvider(row: ProviderListItem) {
   try {
     const res = await testProviderApi(row.id);
     if (res.success) {
-      ElMessage.success(res.message);
+      const sampleModels = res.models
+        .slice(0, 3)
+        .map((model) => model.model_name)
+        .join(', ');
+      const sampleText = sampleModels ? `: ${sampleModels}` : '';
+      ElMessage.success(
+        `连接成功，已从模型接口拉取到 ${res.model_count} 个模型${sampleText}`,
+      );
     } else {
       ElMessage.error($t('ui.actionMessage.operationFailed'));
     }