diff --git a/plugins/ai_auto_response/main.py b/plugins/ai_auto_response/main.py
index 2fd581a..5f7c281 100644
--- a/plugins/ai_auto_response/main.py
+++ b/plugins/ai_auto_response/main.py
@@ -293,7 +293,8 @@ class AIAutoResponsePlugin(MessagePluginInterface):
                 user_prompt,
                 user_id=f"{room_id}:{sender}",
                 image_urls=image_urls,
-            )
+            ),
+            content,
         )
         if not response:
             self._log_event(
@@ -529,13 +530,53 @@ class AIAutoResponsePlugin(MessagePluginInterface):
         return bool(current_tokens & previous_tokens)
 
     @staticmethod
-    def _sanitize_response(response: str) -> str:
+    def _sanitize_response(response: str, current_content: str = "") -> str:
         if not response:
             return ""
         response = response.strip()
         response = re.sub(r"\n{3,}", "\n\n", response)
+        current_content = str(current_content or "").strip()
+        if not response:
+            return ""
+        if current_content and AIAutoResponsePlugin._looks_like_prompt_echo(response, current_content):
+            return ""
+        if AIAutoResponsePlugin._looks_like_invalid_structured_reply(response, current_content):
+            return ""
         return response[:500].strip()
 
+    @staticmethod
+    def _looks_like_prompt_echo(response: str, current_content: str) -> bool:
+        normalized_response = re.sub(r"\s+", "", str(response or ""))
+        normalized_current = re.sub(r"\s+", "", str(current_content or ""))
+        if not normalized_response or not normalized_current:
+            return False
+        return normalized_response == normalized_current
+
+    @staticmethod
+    def _looks_like_invalid_structured_reply(response: str, current_content: str) -> bool:
+        text = str(response or "").strip()
+        if not (text.startswith("{") and text.endswith("}")):
+            return False
+        try:
+            data = json.loads(text)
+        except Exception:
+            return False
+        if not isinstance(data, dict):
+            return False
+        keys = {str(key).strip().lower() for key in data.keys()}
+        if not keys:
+            return False
+        if keys.issubset({"category", "message", "content", "text", "type"}):
+            for field in ("message", "content", "text"):
+                value = str(data.get(field, "") or "").strip()
+                if not value:
+                    continue
+                if AIAutoResponsePlugin._looks_like_prompt_echo(value, current_content):
+                    return True
+            if "category" in keys:
+                return True
+        return False
+
     def _finalize_reply(self, response: str, reply_mode: str) -> List[str]:
         text = (response or "").strip()
         if not text: