AI & Validation

Wire Flow AI and validation tasks — Bedrock AI for intelligent data processing and Schema Validator for enforcing data structure.

Bedrock AI

Invokes an AI model to classify, extract, or summarise data within a workflow.

Field	Description
Model ID	The AI model to use (e.g., anthropic.claude-3-haiku-20240307-v1:0)
Prompt	Supports {$.body.field} placeholders or a JSONPath to a prompt string
System Prompt	Optional system instructions
Max Tokens	Maximum response length (default: 1024)

The next task receives the model's response in this format:

{
  "statusCode": 200,
  "body": {
    "content": [{ "type": "text", "text": "The model's response..." }]
  }
}

Extract the response text in a downstream JSONata task: $states.input.body.content[0].text

Use cases: classification, data extraction from unstructured text, summarisation, decision support.

Schema Validator

Validates the step input against a JSON Schema. If validation fails, the step errors — catchable with an Error Boundary.

Field	Description
JSON Schema	Standard JSON Schema definition
Edit	Opens an editor with live validation preview

If validation passes, the input is passed through unchanged to the next step.