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Use Agent when you want a workflow step to call one of your existing workspace agents. The step sends a message to that agent. The agent’s own instructions, model, and tools apply — those settings stay on the agent, not on the step. This is different from AI Prompt, which configures a one-off LLM call on the step itself.

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Configuration

Pick an agent from the searchable list. Only active workspace agents appear. After you select one, the settings sheet shows a short summary (model and tool count) and a link to edit the agent. Write the message the agent should receive. Use Insert Variable to pass earlier step output into the message. Credits for this step are charged on the agent run itself, not as a separate workflow-step fee. The workflow request still shows that run’s tokens, cost and tasks on the agent step and in the request totals, so you see the whole workflow’s usage in one place. Nothing is charged twice.

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Output

This step stores the agent’s reply as the step output.
For example, if this is step_2:
Later steps can insert that text with the variable picker.

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Example

Add Agent from the workflow step picker. Select a support or research agent you already configured. Set Message to something like:
Click Run in the step header to test. The agent’s reply appears in Output, and later steps can reference it.

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See also