feat: 增强科研软件的 a11y tree 支持

- 扩展 heuristic_retrieve.py 白名单以覆盖科研软件 GUI 框架:
  - 新增 prefix 规则: sunawt (Java Swing), qt5q/qt6q (Qt), ovito, pymol,
    contentspanel, wx (wxWidgets), afx (MFC), thunderrt (VB6)
  - 新增 endswith 规则: edit, widget, box, dialog, view, frame, menuitem,
    menubar, toolbar, tabitem, treeitem, window
  - 新增 Qt 控件和 Win32 控件的精确匹配
- 在 agent.py 中添加原始 a11y tree 的调试日志
- 修复 run.py 中 agent 初始化缺少 platform='windows' 的问题
- 添加 NO_PROXY 绕过本地/VM IP (兼容 Clash 全局代理)
- lib_run_single.py 中应用启动等待时间增加到 15 秒
- 新增 test_each_domain_a11y_tree.json (每个域一个任务用于 a11y 验证)

mm_agents/agent.py

@@ -329,7 +329,7 @@ class PromptAgent:
                 raise ValueError("Invalid action space: " + action_space)
         else:
             raise ValueError("Invalid experiment type: " + observation_type)
-        
+
         self.system_message = self.system_message.format(CLIENT_PASSWORD=self.client_password, SCREEN_WIDTH=self.screen_width, SCREEN_HEIGHT=self.screen_height)
 
     def predict(self, instruction: str, obs: Dict) -> List:
@@ -502,9 +502,30 @@ class PromptAgent:
                 ]
             })
         elif self.observation_type == "a11y_tree":
+            # Debug: log raw a11y tree XML to help diagnose missing elements
+            raw_tree = obs["accessibility_tree"]
+            if raw_tree:
+                # Log first 2000 chars of raw XML and count total nodes
+                root = ET.fromstring(raw_tree)
+                all_tags = set()
+                total_nodes = 0
+                for node in root.iter():
+                    all_tags.add(node.tag)
+                    total_nodes += 1
+                logger.info("Raw a11y tree: %d total nodes, unique tags: %s", total_nodes, all_tags)
+                logger.debug("Raw a11y tree XML (first 2000 chars): %s", raw_tree[:2000])
+                # Also log nodes containing 'avogadro' or 'qt5' in their attributes
+                for node in root.iter():
+                    node_str = ET.tostring(node, encoding="unicode")
+                    if 'avogadro' in node_str.lower() or 'qt5' in node_str.lower():
+                        logger.info("Avogadro/Qt5 node: tag=%s, name=%s, visible=%s, enabled=%s",
+                                    node.tag, node.get("name", ""),
+                                    node.get("{https://accessibility.windows.example.org/ns/state}visible", "?"),
+                                    node.get("{https://accessibility.windows.example.org/ns/state}enabled", "?"))
             linearized_accessibility_tree = linearize_accessibility_tree(accessibility_tree=obs["accessibility_tree"],
                                                                          platform=self.platform)
             logger.debug("LINEAR AT: %s", linearized_accessibility_tree)
+            logger.info("Linearized a11y tree lines: %d", len(linearized_accessibility_tree.split('\n')) if linearized_accessibility_tree else 0)
 
             if linearized_accessibility_tree:
                 linearized_accessibility_tree = trim_accessibility_tree(linearized_accessibility_tree,
@@ -670,7 +691,7 @@ class PromptAgent:
                 return response.json()['choices'][0]['message']['content']
         elif self.model.startswith("gpt"):
             # Support custom OpenAI base URL via environment variable
-            base_url = os.environ.get('OPENAI_BASE_URL', 'https://api.openai.com')
+            base_url = os.environ.get('OPENAI_BASE_URL', os.environ.get('OPENAI_API_BASE', 'https://api.openai.com'))
             # Smart handling: avoid duplicate /v1 if base_url already ends with /v1
             api_url = f"{base_url}/chat/completions" if base_url.endswith('/v1') else f"{base_url}/v1/chat/completions"
             headers = {
@@ -1153,7 +1174,7 @@ class PromptAgent:
             except Exception as e:
                 print("Failed to call LLM: " + str(e))
                 return ""
-        
+
         else:
             raise ValueError("Invalid model: " + self.model)
 
@@ -1192,4 +1213,4 @@ class PromptAgent:
 
         self.thoughts = []
         self.actions = []
-        self.observations = []
+        self.observations = []