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Input

The Input step in Snappit is used to introduce dynamic, user-defined data into workflows. It enables users to define a schema using JSON and then automatically generates input fields based on that schema. This allows workflows to be parameterized and reused with different data.

Snappit Input Step

🧱 Purpose​

To collect structured input from users at runtime and pass those inputs to downstream steps in the workflow.

🧭 Behavior​

  • Dynamically generates input fields from a JSON schema
  • Captures user-provided data and exposes it as output
  • Enables flexible reuse of workflows with different data
  • Supports nested and complex object structures

⚙️ Configuration​

  • Schema: A JSON schema that defines the input fields
  • Default Values (optional): Provide default values for fields if desired

Example schema:

{
  "name": "string",
  "age": 10,
  "subscribe": true
}

This schema will render three input fields: a text input for name, a number input for age, and a toggle for subscribe.

✅ Use Cases​

  • Prompting the user to provide required values before workflow starts
  • Creating workflows that are reusable with different datasets
  • Passing configuration values into a sub-workflow

The Input step enhances the modularity and flexibility of Snappit workflows by cleanly separating static logic from dynamic data.