TypeError: StoredFunction.__init__() got an unexpected keyword argument 'hmac_key'

**PySDK Version**
- [ ] PySDK V2 (2.x)
- [x] PySDK V3 (3.x)

**Describe the bug**
Upon using the step decorator, I receive errors supposedly at function bootstrap time. The logs erroneously indicate the step was run successfully.

**To reproduce**
```
from sagemaker.mlops.local.local_pipeline_session import LocalPipelineSession
from sagemaker.mlops.workflow.function_step import step
from sagemaker.mlops.workflow.pipeline import Pipeline

@step(
image_uri="public.ecr.aws/sagemaker/sagemaker-distribution:3.7.0-cpu",
instance_type="ml.m5.large",
)
def preprocess() -> None:
print("Preprocessing step")

if __name__ == "__main__":
name = "test"
res_preprocess = preprocess()
session = LocalPipelineSession()
pipeline = Pipeline(
name=name,
steps=[preprocess()],
sagemaker_session=session,
)
session.create_pipeline(pipeline=pipeline, pipeline_description="foo")
session.start_pipeline_execution(PipelineName=name)

```

**Expected behavior**
A clear and concise description of what you expected to happen.

**Screenshots or logs**
Remote:

local:
```
pzu6ht9kua-algo-1-frkcn | /app/.venv/lib/python3.11/site-packages/sagemaker/train/remote_function/invoke_function.py:104: DeprecationWarning: sagemaker.train.remote_function.core.stored_function has been moved to sagemaker.core.remote_function.core.stored_function. Please update your imports. This shim will be removed in a future version.
pzu6ht9kua-algo-1-frkcn | from sagemaker.train.remote_function.core.stored_function import StoredFunction
pzu6ht9kua-algo-1-frkcn | 2026-01-19 13:55:14,079 sagemaker.remote_function ERROR Error encountered while invoking the remote function.
pzu6ht9kua-algo-1-frkcn | Traceback (most recent call last):
pzu6ht9kua-algo-1-frkcn | File "/app/.venv/lib/python3.11/site-packages/sagemaker/train/remote_function/invoke_function.py", line 144, in main
pzu6ht9kua-algo-1-frkcn | _execute_remote_function(
pzu6ht9kua-algo-1-frkcn | File "/app/.venv/lib/python3.11/site-packages/sagemaker/train/remote_function/invoke_function.py", line 106, in _execute_remote_function
pzu6ht9kua-algo-1-frkcn | stored_function = StoredFunction(
pzu6ht9kua-algo-1-frkcn | ^^^^^^^^^^^^^^^
pzu6ht9kua-algo-1-frkcn | TypeError: StoredFunction.__init__() got an unexpected keyword argument 'hmac_key'
pzu6ht9kua-algo-1-frkcn exited with code 0
Aborting on container exit...
Container pzu6ht9kua-algo-1-frkcn Stopping
Container pzu6ht9kua-algo-1-frkcn Stopped
[01/19/26 14:55:15] INFO ===== Job Complete ===== image.py:323
[01/19/26 14:55:16] INFO Pipeline step 'preprocess-1e842e1e-0a59-4828-8c6c-7bb549f0600d' SUCCEEDED. pipeline_entities.py:180
INFO Pipeline execution eb1dabc4-48b3-4e79-b6e5-229d92df098e SUCCEEDED
```

**System information**
A description of your system. Please provide:
- **SageMaker Python SDK version**: 3.3.1
- **Framework name (eg. PyTorch) or algorithm (eg. KMeans)**: n/a
- **Framework version**: n/a
- **Python version**: 3.11
- **CPU or GPU**: cpu
- **Custom Docker image (Y/N)**: N

**Additional context**
It appears l.110 in `invoke_function.py` is the source of the bug: https://github.com/aws/sagemaker-python-sdk/blob/master/sagemaker-train/src/sagemaker/train/remote_function/invoke_function.py#L110

Inspect sagemaker-train/src/sagemaker/train/remote_function/invoke_function.py around line 110, along with the StoredFunction import and constructor shown in the traceback. Reproduce the failure with the provided step decorator and LocalPipelineSession example. Done means bootstrap no longer raises the hmac_key TypeError and a failed container is not reported as a successful pipeline step.

Written by the indexing model from the issue text.