完成请求推送，但组装mes还有问题

backend/services/llm_model_service.py

@@ -27,18 +27,35 @@ class LLMModelService:
             if not base_url:
                 base_url = "https://api.openai.com/v1"
             
-            # 确保 base_url 以 /v1 结尾
-            if not base_url.endswith('/v1'):
-                base_url = base_url.rstrip('/') + '/v1'
+            # 规范化 base_url：确保有协议前缀
+            base_url = base_url.strip()
+            if not base_url.startswith(('http://', 'https://')):
+                base_url = 'https://' + base_url
             
-            response = requests.get(
-                f"{base_url}/models",
-                headers={
-                    "Authorization": f"Bearer {api_key}",
-                    "Content-Type": "application/json"
-                },
-                timeout=10
-            )
+            # 移除末尾的斜杠和常见 endpoint 路径
+            base_url = base_url.rstrip('/')
+            # 移除可能已经存在的 endpoint 路径
+            for endpoint in ['/chat/completions', '/completions', '/embeddings', '/models']:
+                if base_url.endswith(endpoint):
+                    base_url = base_url[:-len(endpoint)]
+                    break
+            
+            # 调用 models API
+            try:
+                response = requests.get(
+                    f"{base_url}/models",
+                    headers={
+                        "Authorization": f"Bearer {api_key}",
+                        "Content-Type": "application/json"
+                    },
+                    timeout=10
+                )
+            except requests.exceptions.InvalidSchema as e:
+                raise Exception(f"URL 格式错误: {base_url}/models - 请确保 URL 以 http:// 或 https:// 开头")
+            except requests.exceptions.ConnectionError as e:
+                raise Exception(f"无法连接到 API: {base_url}/models - 请检查网络连接和 API 地址")
+            except requests.exceptions.Timeout as e:
+                raise Exception(f"请求超时: {base_url}/models - 请检查网络连接")
             
             if response.status_code != 200:
                 raise Exception(f"HTTP {response.status_code}: {response.text}")
@@ -46,14 +63,8 @@ class LLMModelService:
             data = response.json()
             models = [model['id'] for model in data.get('data', [])]
             
-            # 过滤出聊天模型（可选）
-            chat_models = [
-                m for m in models 
-                if any(keyword in m.lower() for keyword in ['gpt', 'chat'])
-            ]
-            
-            # 如果没有找到聊天模型，返回所有模型
-            return chat_models if chat_models else models
+            # 返回所有模型，不做过滤
+            return models
             
         except Exception as e:
             raise Exception(f"获取 OpenAI 模型列表失败: {str(e)}")
@@ -132,6 +143,9 @@ class LLMModelService:
             return 'anthropic'
         elif 'ollama' in api_url_lower or 'localhost:11434' in api_url_lower or '127.0.0.1:11434' in api_url_lower:
             return 'ollama'
+        elif 'bigmodel' in api_url_lower or 'glm' in api_url_lower:
+            # 智谱AI GLM - 兼容 OpenAI API
+            return 'openai'
         elif 'siliconflow' in api_url_lower or 'silicon.cloud' in api_url_lower:
             # SiliconFlow 等兼容 OpenAI API 的服务
             return 'openai'