加入了qwen百炼平台的选项和一个解耦后的测试api是否可用的脚本

backend/app/routers/modeling_router.py

@@ -100,9 +100,7 @@ async def validate_api_key(request: ValidateApiKeyRequest):
             messages=[{"role": "user", "content": "Hi"}],
             max_tokens=1,
             api_key=request.api_key,
-            base_url=request.base_url
-            if request.base_url != "https://api.openai.com/v1"
-            else None,
+            base_url=request.base_url if request.base_url else None
         )
 
         return ValidateApiKeyResponse(valid=True, message="✓ 模型 API 验证成功")

backend/test_api.py

@@ -0,0 +1,70 @@
+import asyncio  
+import litellm  
+
+async def validate_model_api(api_key: str, base_url: str, model_id: str):  
+    """  
+    验证模型 API 是否可用的最小脚本  
+
+    Args:  
+        api_key: API 密钥  
+        base_url: API 基础 URL (例如: https://api.openai.com/v1)  
+        model_id: 模型标识符 (例如: gpt-4, deepseek/deepseek-chat)  
+
+    Returns:  
+        dict: {"valid": bool, "message": str}  
+    """  
+    try:  
+        # 构建请求参数  
+        kwargs = {  
+            "model": model_id,  
+            "messages": [{"role": "user", "content": "Hi"}],  
+            "max_tokens": 1,  
+            "api_key": api_key,  
+        }  
+
+        # 只有当 base_url 存在时才添加  
+        if base_url:  
+            kwargs["base_url"] = base_url  
+
+        # 发送测试请求  
+        await litellm.acompletion(**kwargs)  
+
+        return {  
+            "valid": True,  
+            "message": "✓ 模型 API 验证成功"  
+        }  
+
+    except Exception as e:  
+        error_msg = str(e)  
+
+        # 解析常见错误类型  
+        if "401" in error_msg or "Unauthorized" in error_msg:  
+            message = "✗ API Key 无效或已过期"  
+        elif "404" in error_msg or "Not Found" in error_msg:  
+            message = "✗ 模型 ID 不存在或 Base URL 错误"  
+        elif "429" in error_msg or "rate limit" in error_msg.lower():  
+            message = "✗ 请求过于频繁,请稍后再试"  
+        elif "403" in error_msg or "Forbidden" in error_msg:  
+            message = "✗ API 权限不足或账户余额不足"  
+        else:  
+            message = f"✗ 验证失败: {error_msg[:100]}"  
+
+        return {  
+            "valid": False,  
+            "message": message  
+        }  
+
+
+# 使用示例  
+async def main():  
+
+    result = await validate_model_api(  
+        api_key="",  
+        base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
+        model_id="openai/qwen3-max"
+    )  
+    print(f"Qwen: {result}")  
+
+
+if __name__ == "__main__":  
+    asyncio.run(main())

frontend/src/pages/chat/components/ApiDialog.vue

@@ -234,6 +234,12 @@ const providers = {
     "baseUrl": "https://api.deepseek.com",
     "modelId": "deepseek/deepseek-chat"
   },
+  千问百炼: {
+    url: "https://dashscope.console.aliyun.com/apiKey",
+    key: "千问百炼",
+    baseUrl: "https://dashscope.aliyuncs.com/compatible-mode/v1",
+    modelId: "openai/qwen3-max",
+  },
   "硅基流动": {
     "url": "https://cloud.siliconflow.cn/i/UIb4Enf4",
     "key": "硅基流动",