diff --git a/fastdeploy/input/ernie_processor.py b/fastdeploy/input/ernie_processor.py
index 766feea47..2e60ef325 100644
--- a/fastdeploy/input/ernie_processor.py
+++ b/fastdeploy/input/ernie_processor.py
@@ -109,7 +109,13 @@ class ErnieProcessor(BaseDataProcessor):
                 request.prompt_token_ids = token_ids
                 data_processor_logger.info(f"req_id:{request.request_id}, tokens:{tokens}, token_ids: {token_ids}")
             else:
-                request.prompt_token_ids = self.messages2ids(request.to_dict())
+                task = request.to_dict()
+                chat_template_kwargs = request.get("chat_template_kwargs")
+                if chat_template_kwargs:
+                    for k, v in chat_template_kwargs.items():
+                        if k not in task:
+                            task[k] = v
+                request.prompt_token_ids = self.messages2ids(task)
 
         if len(request.prompt_token_ids) == 0:
             raise ValueError("Invalid input: prompt_token_ids must be a non-empty sequence of token IDs")
diff --git a/fastdeploy/input/ernie_vl_processor.py b/fastdeploy/input/ernie_vl_processor.py
index 04f29fa19..296b07b75 100644
--- a/fastdeploy/input/ernie_vl_processor.py
+++ b/fastdeploy/input/ernie_vl_processor.py
@@ -110,7 +110,7 @@ class ErnieMoEVLProcessor(ErnieProcessor):
     def process_request(self, request, max_model_len=None, **kwargs):
         """process the input data"""
         task = request.to_dict()
-        task["chat_template_kwargs"] = kwargs.get("chat_template_kwargs", {})
+        task["chat_template_kwargs"] = kwargs.get("chat_template_kwargs")
         self.process_request_dict(task, max_model_len)
         request = Request.from_dict(task)
         request = self._apply_default_parameters(request)
diff --git a/fastdeploy/input/text_processor.py b/fastdeploy/input/text_processor.py
index f67c922ef..a3cc0c035 100644
--- a/fastdeploy/input/text_processor.py
+++ b/fastdeploy/input/text_processor.py
@@ -207,11 +207,6 @@ class DataProcessor(BaseDataProcessor):
         request = self._apply_default_parameters(request)
         if request.get("eos_token_ids") is None or len(request.eos_token_ids) == 0:
             request.eos_token_ids = self.eos_token_ids
-        chat_template_kwargs = request.get("chat_template_kwargs")
-        if chat_template_kwargs:
-            for k, v in chat_template_kwargs.items():
-                if k not in request:
-                    request[k] = v
         stop_sequences = request.get("stop", [])
         if stop_sequences is not None and len(stop_sequences) != 0:
             stop_seqs, stop_seqs_len = self.update_stop_seq(stop_sequences)
@@ -225,7 +220,11 @@ class DataProcessor(BaseDataProcessor):
                 if self.tokenizer.chat_template is None:
                     raise ValueError("This model does not support chat_template.")
                 task = request.to_dict()
-                task["enable_thinking"] = kwargs.get("enable_thinking", True)
+                chat_template_kwargs = kwargs.get("chat_template_kwargs")
+                if chat_template_kwargs:
+                    for k, v in chat_template_kwargs.items():
+                        if k not in task:
+                            task[k] = v
                 request.prompt_token_ids = self.messages2ids(task)
             else:
                 raise ValueError(f"The request should have `input_ids`, `text` or `messages`: {request}.")