diff --git a/engines/python/setup/djl_python/chat_completions/chat_utils.py b/engines/python/setup/djl_python/chat_completions/chat_utils.py
index 4509306d5..287361a66 100644
--- a/engines/python/setup/djl_python/chat_completions/chat_utils.py
+++ b/engines/python/setup/djl_python/chat_completions/chat_utils.py
@@ -31,7 +31,10 @@ def parse_chat_completions_request(input_map: Dict, is_rolling_batch: bool,
             f"Cannot provide chat completion for tokenizer: {tokenizer.__class__}, "
             f"please ensure that your tokenizer supports chat templates.")
     chat_params = ChatProperties(**input_map)
-    param = chat_params.model_dump(by_alias=True, exclude_none=True)
+    exclude = {"messages"}
+    param = chat_params.model_dump(by_alias=True,
+                                   exclude_none=True,
+                                   exclude=exclude)
     messages = chat_params.messages
     images = []
     tokenizer_inputs = []
diff --git a/engines/python/setup/djl_python/rolling_batch/lmi_dist_rolling_batch.py b/engines/python/setup/djl_python/rolling_batch/lmi_dist_rolling_batch.py
index 644c550ff..abb97ab35 100644
--- a/engines/python/setup/djl_python/rolling_batch/lmi_dist_rolling_batch.py
+++ b/engines/python/setup/djl_python/rolling_batch/lmi_dist_rolling_batch.py
@@ -23,7 +23,8 @@
 from djl_python.rolling_batch.rolling_batch import RollingBatch, stop_on_any_exception, filter_unused_generation_params
 from djl_python.rolling_batch.rolling_batch_vllm_utils import (
     get_speculative_decoding_metrics_record, update_request_cache_with_output,
-    supports_speculative_decoding, get_lora_request_params, DTYPE_MAPPER)
+    supports_speculative_decoding, get_lora_request_params, DTYPE_MAPPER,
+    get_prompt_inputs)
 from djl_python.telemetry import telemetry_manager
 from djl_python.properties_manager.lmi_dist_rb_properties import LmiDistRbProperties
 
@@ -155,6 +156,7 @@ def inference(self, new_requests: List[Request]) -> List:
         # step 0: register new requests to engine
         for request in new_requests:
             request_id = str(request.id)
+            llm_input = get_prompt_inputs(request)
             params = self.translate_lmi_dist_params(request.parameters)
             request_params = RequestParams(**params)
             lora_request_params = get_lora_request_params(
@@ -162,7 +164,8 @@ def inference(self, new_requests: List[Request]) -> List:
             # Constructing Request in lmi-dist library
             lmi_dist_request = Request(
                 id=request_id,
-                prompt=request.input_text,
+                prompt=llm_input.get("prompt"),
+                multi_modal_input=llm_input.get("multi_modal_data"),
                 params=request_params,
                 lora_request=lora_request_params["lora_request"]
                 if lora_request_params else None)