feat: 前端显示所有事件到思考过程，添加调试日志

frontend/src/components/chat_area.py

@@ -137,13 +137,45 @@ def _handle_ai_response():
             
             # [DEBUG] 可以在前端终端看到接收到的事件
             import logging
-            if event_type == "llm_token":
-                logging.debug(f"[Frontend Stream] token: {repr(event.get('token'))}, reasoning: {repr(event.get('reasoning_token'))}")
+            logging.debug(f"[Frontend Stream] 收到事件: {event_type}, 完整内容: {repr(event)}")
             
-            # 1. 处理 LLM Token 流 (打字机效果)
-            if event_type == "llm_token":
+            # 1. 处理各种控制事件，显示到思考过程
+            if event_type == "intent_classified":
+                intent = event.get("intent", "unknown")
+                confidence = event.get("confidence", 0)
+                reasoning = event.get("reasoning", "")
+                api_thought += f"\n\n🧠 **意图识别**: {intent} (置信度: {confidence:.2f})"
+                if reasoning:
+                    api_thought += f"\n   推理: {reasoning}"
+                display_thought = api_thought
+                thought_placeholder.info(f"**🤔 思考过程 (正在思考...)**\n\n{display_thought}▌")
+            
+            elif event_type == "path_decision":
+                path = event.get("path", "unknown")
+                intent = event.get("intent", "")
+                api_thought += f"\n\n🛤️ **路径决策**: 选择路径 '{path}'"
+                if intent:
+                    api_thought += f" (基于意图: {intent})"
+                display_thought = api_thought
+                thought_placeholder.info(f"**🤔 思考过程 (正在思考...)**\n\n{display_thought}▌")
+            
+            elif event_type == "node_start":
+                node_name = event.get("node", "unknown")
+                api_thought += f"\n\n▶️ **开始节点**: {node_name}"
+                display_thought = api_thought
+                thought_placeholder.info(f"**🤔 思考过程 (正在思考...)**\n\n{display_thought}▌")
+            
+            elif event_type == "node_end":
+                node_name = event.get("node", "unknown")
+                api_thought += f"\n\n⏹️ **完成节点**: {node_name}"
+                display_thought = api_thought
+                thought_placeholder.info(f"**🤔 思考过程 (正在思考...)**\n\n{display_thought}▌")
+            
+            # 2. 处理 LLM Token 流 (打字机效果)
+            elif event_type == "llm_token":
+                node_name = event.get("node", "unknown")
                 # 确保只处理来自 LLM 的 token，避免将工具的输出作为 token 显示
-                if event.get("node") in ("llm_call", "fallback"):
+                if node_name in ("llm_call", "fallback"):
                     token = str(event.get("token", ""))
                     reasoning_token = str(event.get("reasoning_token", ""))
                     
@@ -197,6 +229,14 @@ def _handle_ai_response():
                     if display_text or not is_thinking:
                         cursor = "▌" if not is_thinking else ""
                         message_placeholder.markdown(display_text + cursor)
+                else:
+                    # 对于非 llm_call/fallback 的 token，记录到思考过程用于调试
+                    token = str(event.get("token", ""))
+                    reasoning_token = str(event.get("reasoning_token", ""))
+                    if token:
+                        api_thought += f"\n[调试] 节点 {node_name} 输出: {repr(token)}"
+                        display_thought = api_thought
+                        thought_placeholder.info(f"**🤔 思考过程 (正在思考...)**\n\n{display_thought}▌")
             
             # 2. 处理状态更新 (节点完成、工具结果等)
             elif event_type == "state_update":