Agent

The Agent step runs a pre-configured AI Agent from your workspace inside an automation flow. Unlike single-prompt steps, it can use configured tools to complete multi-step tasks.

📘

You need to enable AI to use this feature.

Before you start

Create and test an Agent first, then reference it in your automation:

Example use cases

  • Looking up workspace data with tools, then returning an answer.
  • Running an Agent to decide and execute follow-up actions in a workflow.
  • Producing structured JSON output for downstream automation steps.

Inputs

  • Agent (required) - The Agent configuration to run.
  • Prompt (required) - The task or question sent to the Agent.
  • Use structured output (optional) - Enables schema-constrained output.
  • Output Schema (optional) - JSON schema used when structured output is enabled.

Output

  • success - Whether the Agent completed successfully.
  • response - The Agent's response text.
  • output - Structured object output when an output schema is used.