Write Action
cleanroomsml.call
ActionAmazon Web Servicesconnection required
Calls the AWS cleanroomsml API (SigV4).
Run one of 28 write actions on CleanRoomsML.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- API key
- Providers
- AWS Clean Rooms ML
- Secret shape
- {"access_key_id", "secret_access_key"}
- Config it needs
- region
- Resolved by
- config.connection_id, else node.connection_id
Configuration
3 fields, 1 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 | — | — | — |
action Which write action to run. | string | Yes | — | one of "CancelTrainedModel", "CancelTrainedModelInferenceJob", "CreateAudienceModel", "CreateConfiguredAudienceModel", "CreateConfiguredModelAlgorithm", "CreateConfiguredModelAlgorithmAssociation", "CreateMLInputChannel", "CreateTrainedModel", "CreateTrainingDataset", "DeleteAudienceGenerationJob", "DeleteAudienceModel", "DeleteConfiguredAudienceModel", "DeleteConfiguredAudienceModelPolicy", "DeleteConfiguredModelAlgorithm", "DeleteConfiguredModelAlgorithmAssociation", "DeleteMLConfiguration", "DeleteMLInputChannelData", "DeleteTrainedModelOutput", "DeleteTrainingDataset", "PutConfiguredAudienceModelPolicy", "PutMLConfiguration", "StartAudienceExportJob", "StartAudienceGenerationJob", "StartTrainedModelExportJob", "StartTrainedModelInferenceJob", "TagResource", "UntagResource", "UpdateConfiguredAudienceModel" | — |
request The action's input, as AWS documents it. | object | No | — | — | — |
Output
One shape.
result
The AWS response for the operation you named, as returned.
Extra keys beyond the ones listed can appear.
{}Notes
- This performs a real change in the account. Dry runs stub it, like every other external node.
Related AWS Clean Rooms ML nodes
See Write Action run in a workflow.
In a technical demo we add the AWS Clean Rooms ML connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.