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.
Updated about 4 hours ago