diff --git a/src/sagemaker/serve/model_server/multi_model_server/inference.py b/src/sagemaker/serve/model_server/multi_model_server/inference.py
index 1d2440f5f9..908ffcc7aa 100644
--- a/src/sagemaker/serve/model_server/multi_model_server/inference.py
+++ b/src/sagemaker/serve/model_server/multi_model_server/inference.py
@@ -21,7 +21,7 @@
 METADATA_PATH = Path(__file__).parent.joinpath("metadata.json")
 
 
-def model_fn(model_dir):
+def model_fn(model_dir, context=None):
     """Overrides default method for loading a model"""
     shared_libs_path = Path(model_dir + "/shared_libs")
 
@@ -40,7 +40,7 @@ def model_fn(model_dir):
         return partial(inference_spec.invoke, model=inference_spec.load(model_dir))
 
 
-def input_fn(input_data, content_type):
+def input_fn(input_data, content_type, context=None):
     """Deserializes the bytes that were received from the model server"""
     try:
         if hasattr(schema_builder, "custom_input_translator"):
@@ -72,12 +72,12 @@ def input_fn(input_data, content_type):
         raise Exception("Encountered error in deserialize_request.") from e
 
 
-def predict_fn(input_data, predict_callable):
+def predict_fn(input_data, predict_callable, context=None):
     """Invokes the model that is taken in by model server"""
     return predict_callable(input_data)
 
 
-def output_fn(predictions, accept_type):
+def output_fn(predictions, accept_type, context=None):
     """Prediction is serialized to bytes and sent back to the customer"""
     try:
         if hasattr(inference_spec, "postprocess"):