Invoke Endpoint
sagemaker.invoke_endpoint
ActionAmazon Web Servicesconnection required
Calls the AWS sagemaker API (SigV4).
Run inference against a deployed SageMaker endpoint.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- API key
- Providers
- Amazon SageMaker
- Secret shape
- {"access_key_id", "secret_access_key"}
- Config it needs
- region
- Resolved by
- config.connection_id, else node.connection_id
Configuration
4 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
region AWS region (overrides the connection). | string | No | — | — | — |
endpoint_name Deployed endpoint name. | string | Yes | — | — | — |
payload Inference input (JSON). | object | Yes | — | — | — |
content_type Request content type. | string | No | — | — | — |
Output
One shape.
result
| Field | Type | Example |
|---|---|---|
endpoint_name | string | — |
result | object | — |
{
"endpoint_name": "",
"result": {}
}See Invoke Endpoint run in a workflow.
In a technical demo we add the Amazon SageMaker connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.