fix(chat): 修复空消息引用并调整动作处理逻辑

- 在 `DefaultReplyer` 中增加了对 `reply_message` 的空值检查，以避免在无回复上下文时引发错误。
- 在 `ActionPlanner` 中将 'do_nothing' 添加到非目标动作列表中，以正确处理此新增的无操作指令。
- 将 `EmojiAction` 使用的 LLM 模型从 'utils_small' 更新为 'planner'，以适应模型配置的变更。

src/chat/planner_actions/planner.py

@@ -319,7 +319,7 @@ class ActionPlanner:
             action_data = {k: v for k, v in action_json.items() if k not in ["action", "reason"]}
 
             target_message = None
-            if action not in ["no_action", "no_reply"]:
+            if action not in ["no_action", "no_reply", "do_nothing"]:
                 if target_message_id := action_json.get("target_message_id"):
                     target_message = self.find_message_by_id(target_message_id, message_id_list)
                     if target_message is None:
@@ -329,7 +329,7 @@ class ActionPlanner:
                     logger.warning(f"{self.log_prefix}动作'{action}'缺少target_message_id")
 
             available_action_names = [name for name, _ in current_available_actions]
-            if action not in ["no_action", "no_reply", "reply"] and action not in available_action_names:
+            if action not in ["no_action", "no_reply", "reply", "do_nothing"] and action not in available_action_names:
                 logger.warning(
                     f"{self.log_prefix}LLM 返回了当前不可用或无效的动作: '{action}' (可用: {available_action_names})，将强制使用 'no_action'"
                 )

src/chat/replyer/default_generator.py

@@ -823,6 +823,9 @@ class DefaultReplyer:
             sender, target = self._parse_reply_target(reply_to)
         else:
             # 获取 platform，如果不存在则从 chat_stream 获取，如果还是 None 则使用默认值
+            if reply_message is None:
+                logger.warning("reply_message 为 None，无法构建prompt")
+                return ""
             platform = reply_message.get("chat_info_platform")
             person_id = person_info_manager.get_person_id(
                 platform,  # type: ignore

src/plugins/built_in/core_actions/emoji.py

@@ -132,7 +132,7 @@ class EmojiAction(BaseAction):
 
                 # 5. 调用LLM
                 models = llm_api.get_available_models()
-                chat_model_config = models.get("utils_small")
+                chat_model_config = models.get("planner")
                 if not chat_model_config:
                     logger.error(f"{self.log_prefix} 未找到'utils_small'模型配置，无法调用LLM")
                     return False, "未找到'utils_small'模型配置"