Payload¶

Payload testing step


SageMaker step type	`Processing`
Node type	internal (consumes upstream, produces downstream)
Container entry point	`payload.py`
Interface file	`steps/interfaces/payload.step.yaml`

Compute¶


Compute kind	`sklearn`

Functionality¶

MIMS payload generation script that extracts hyperparameters from model artifacts, detects model type (tabular/bimodal/trimodal), generates sample payloads with text field support, and archives payload files for deployment. Per-field overrides can also be supplied dynamically via SPECIAL_FIELD_<field_name> environment variables (discovered at runtime, not pre-declared).

Inputs (dependencies)¶

Input	Type	Required	Compatible producers
`model_input`	`model_artifacts`	yes	XGBoostTraining, LightGBMTraining, LightGBMMTTraining, PyTorchTraining, DummyTraining, TrainingStep, ModelStep, XgboostMtTraining
`custom_payload_input`	`processing_output`	no	ProcessingStep, S3Source, UserProvided

Outputs¶

Output	Type
`payload_sample`	`processing_output`

Consumers (downstream steps)¶

Steps that declare this step as a compatible input source:

Registration

Framework requirements¶

Package	Version
`python`	`>=3.7`

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