fix(perceptual): prevent errors when writing unsupported modalities

api/app/services/memory_agent_service.py

@@ -354,6 +354,8 @@ class MemoryAgentService:
                     memory_config=memory_config,
                     file=FileInput(**file)
                 )
+                if file_object is None:
+                    continue
                 message["file_content"].append((file_object, file["type"]))
 
         message_text = "\n".join([f"{msg['role']}: {msg['content']}" for msg in messages])

api/app/services/memory_api_service.py

@@ -131,7 +131,6 @@ class MemoryAPIService:
             message: str,
             config_id: str,
             storage_type: str = "neo4j",
-            files: Optional[list]=None,
             user_rag_memory_id: Optional[str] = None,
     ) -> Dict[str, Any]:
         """Write memory with validation.
@@ -154,8 +153,6 @@ class MemoryAPIService:
             ResourceNotFoundException: If end_user not found
             BusinessException: If end_user not in authorized workspace or write fails
         """
-        if files is None:
-            files = list()
         logger.info(f"Writing memory for end_user: {end_user_id}, workspace: {workspace_id}")
 
         # Validate end_user exists and belongs to workspace
@@ -175,7 +172,6 @@ class MemoryAPIService:
                 db=self.db,
                 storage_type=storage_type,
                 user_rag_memory_id=user_rag_memory_id or "",
-                files=files
             )
 
             logger.info(f"Memory write successful for end_user: {end_user_id}")

api/app/services/memory_perceptual_service.py

@@ -277,8 +277,10 @@ class MemoryPerceptualService:
         file_message = await multimodel_service.process_files(
             files=[file]
         )
-        if file_message:
-            file_message = file_message[0]
+        if not file_message:
+            logger.warning(f"Unsupport file type {file}, model capability: {model_config.capability}")
+            return None
+        file_message = file_message[0]
         try:
             prompt_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'prompt')
             with open(os.path.join(prompt_path, 'perceptual_summary_system.jinja2'), 'r', encoding='utf-8') as f: