fix: report provider test upstream errors

backend-fastapi/ai_platform/providers/qwen_provider.py

@@ -378,6 +378,15 @@ class QwenProvider(BaseLLMProvider):
 
     async def fetch_models_from_api(self) -> List[Dict[str, Any]]:
         """通过 DashScope 兼容的 /v1/models 端点在线拉取模型列表"""
+        base_url = (self.api_base or self.DEFAULT_API_BASE).rstrip('/')
+        try:
+            return await self.fetch_models_from_api_strict()
+        except Exception as e:
+            logger.warning(f'在线拉取模型列表失败 ({base_url}): {e}')
+            return []
+
+    async def fetch_models_from_api_strict(self) -> List[Dict[str, Any]]:
+        """通过 DashScope 兼容端点严格拉取模型列表，失败时保留上游异常"""
         import httpx
 
         base_url = (self.api_base or self.DEFAULT_API_BASE).rstrip('/')
@@ -385,62 +394,57 @@ class QwenProvider(BaseLLMProvider):
         if self.api_key:
             headers['Authorization'] = f'Bearer {self.api_key}'
 
-        try:
-            async with httpx.AsyncClient(timeout=15) as client:
-                resp = await client.get(f'{base_url}/models', headers=headers)
-                resp.raise_for_status()
-                data = resp.json()
+        async with httpx.AsyncClient(timeout=15) as client:
+            resp = await client.get(f'{base_url}/models', headers=headers)
+            resp.raise_for_status()
+            data = resp.json()
 
-            model_list = data.get('data', [])
-            if not model_list:
-                return []
-
-            results = []
-            for item in model_list:
-                model_id = item.get('id', '')
-                if not model_id:
-                    continue
-
-                model_lower = model_id.lower()
-
-                if any(kw in model_lower for kw in self._SKIP_KEYWORDS):
-                    continue
-
-                if any(kw in model_lower for kw in self._RERANK_KEYWORDS):
-                    model_type = 'rerank'
-                elif any(kw in model_lower for kw in self._EMBEDDING_KEYWORDS):
-                    model_type = 'embedding'
-                else:
-                    model_type = 'chat'
-
-                results.append({
-                    'model_name': model_id,
-                    'display_name': model_id,
-                    'model_type': model_type,
-                    'max_tokens': 4096,
-                    'context_window': 4096,
-                    'supports_vision': False,
-                    'supports_function_call': model_type == 'chat',
-                    'input_price': 0,
-                    'output_price': 0,
-                })
-
-            # DashScope /v1/models 可能只返回 chat 模型，
-            # 将默认列表中的 embedding/rerank 模型合并进去
-            fetched_names = {m['model_name'] for m in results}
-            for dm in self.__class__.get_default_models():
-                if dm['model_type'] in ('embedding', 'rerank') and dm['model_name'] not in fetched_names:
-                    results.append(dm)
-
-            type_order = {'chat': 0, 'embedding': 1, 'rerank': 2}
-            results.sort(key=lambda m: (type_order.get(m['model_type'], 9), m['model_name']))
-            logger.info(f'从 {base_url} 拉取到 {len(results)} 个模型（含补充的 embedding/rerank）')
-            return results
-
-        except Exception as e:
-            logger.warning(f'在线拉取模型列表失败 ({base_url}): {e}')
+        model_list = data.get('data', [])
+        if not model_list:
             return []
 
+        results = []
+        for item in model_list:
+            model_id = item.get('id', '')
+            if not model_id:
+                continue
+
+            model_lower = model_id.lower()
+
+            if any(kw in model_lower for kw in self._SKIP_KEYWORDS):
+                continue
+
+            if any(kw in model_lower for kw in self._RERANK_KEYWORDS):
+                model_type = 'rerank'
+            elif any(kw in model_lower for kw in self._EMBEDDING_KEYWORDS):
+                model_type = 'embedding'
+            else:
+                model_type = 'chat'
+
+            results.append({
+                'model_name': model_id,
+                'display_name': model_id,
+                'model_type': model_type,
+                'max_tokens': 4096,
+                'context_window': 4096,
+                'supports_vision': False,
+                'supports_function_call': model_type == 'chat',
+                'input_price': 0,
+                'output_price': 0,
+            })
+
+        # DashScope /v1/models 可能只返回 chat 模型，
+        # 将默认列表中的 embedding/rerank 模型合并进去
+        fetched_names = {m['model_name'] for m in results}
+        for dm in self.__class__.get_default_models():
+            if dm['model_type'] in ('embedding', 'rerank') and dm['model_name'] not in fetched_names:
+                results.append(dm)
+
+        type_order = {'chat': 0, 'embedding': 1, 'rerank': 2}
+        results.sort(key=lambda m: (type_order.get(m['model_type'], 9), m['model_name']))
+        logger.info(f'从 {base_url} 拉取到 {len(results)} 个模型（含补充的 embedding/rerank）')
+        return results
+
     @classmethod
     def get_default_models(cls) -> List[Dict[str, Any]]:
         """获取默认模型列表"""