"AttributeError: 'NoneType' object has no attribute 'len'" when deploying inference component

[goriri]

# Deploy model to an endpoint
# https://sagemaker.readthedocs.io/en/stable/api/inference/model.html#sagemaker.model.Model.deploy
llm = llm_model.deploy(
  initial_instance_count=1, # number of instances
  instance_type=instance_type, # base instance type
  resources=llama3_8b_resource_config, # resource config for multi-replica
  container_startup_health_check_timeout=health_check_timeout, # 10 minutes to be able to load the model
  endpoint_name=f"llama-3-8b-instruct-{str(uuid.uuid4())}", # name needs to be unique
  endpoint_type=EndpointType.INFERENCE_COMPONENT_BASED, # needed to use resource config
)

https://github.com/aws/sagemaker-python-sdk/blame/382fde11a534b9848176994c16b15c1872acc92a/src/sagemaker/session.py#L4700

Seems like if tags is None, it won't get processed at all in the lines that argument the tags.
A simple tags = tags or [] could probably fix the issue but it seems that the tags manipulation code is copied around multiple times.