Configuration
| Option | Required | Description |
|---|---|---|
| Name | No | Label for the step in the workflow canvas. |
| Charge Type | No | Whether the step uses Hosted or Personal model billing. |
| LLM Model | Yes | The model selected in LLM Model. |
| Temperature | No | Controls how predictable or creative the response is when the selected model uses temperature. |
| Max Thinking Tokens | No | Sets Max Thinking Tokens for manual-budget Anthropic Claude and Google Gemini thinking models. Controls how many tokens the model may use for internal reasoning before producing a response. |
| Reasoning Effort | No | Sets Reasoning Effort (low, medium, or high) for OpenAI and xAI reasoning models. |
| Reasoning | No | Toggles reasoning on or off for Together AI and Cohere reasoning models. |
| Max Tokens | No | Sets the maximum response length for the step. |
| Prompt | Yes | Prompt messages in the Prompt section. Each message has a role and content. |
| Response Format | No | Lets you switch JSON Schema on for supported providers. |
| JSON Schema | No | Structured response schema used when JSON Schema is enabled. |
| When the step fails | No | Controls whether the workflow should Terminate Workflow or Continue if this step fails. |
| The AI Prompt step uses a wider settings sheet than the other workflow step types. The left side holds the prompt configuration, and the right side shows prompt messages and model responses from test runs in the same view. |
- Temperature is shown for standard models.
- Max Thinking Tokens is shown for manual-budget Anthropic Claude and Google Gemini thinking models.
- Reasoning Effort is shown for adaptive Claude models such as Claude Sonnet 4.6, Opus 4.6, Opus 4.7, and Opus 4.8.
- Reasoning Effort is shown for OpenAI and xAI reasoning models (low / medium / high).
- Reasoning (enabled/disabled) is shown for Together AI and Cohere reasoning models.
system message. After that, new messages default to user. Each message supports variable insertion from the workflow with the Insert Variable button. For vision-capable models, user messages can also include an image URL.
If your selected provider supports structured output, you can enable JSON Schema in Response Format. This opens a schema editor where you can set a schema name, load an example, and save the JSON schema the model must follow.
assistant is available as a message role in the editor, but this step still runs as a single prompt execution and stores the final assistant response as the step output.
Output
This step stores the final assistant response as the step output. Use the variable picker to insert the exact reference path for a previous prompt step. In templates and later steps, the base reference is:Example
Add AI Prompt from the workflow step picker. Set Name to something likeSummarize article.
In Parameters, choose your Charge Type and LLM Model. Adjust Temperature, Reasoning Effort, Max Thinking Tokens, or the Reasoning toggle if those controls are shown for your model.
In Prompt, add a system message that explains the task and a user message that inserts earlier workflow data such as {{step_1.output}}.
If you need structured output, enable JSON Schema and define fields such as title and summary.
Click Run in the step header to test the step. The response appears in the right-hand panel, and later steps can reference that output with the variable picker.
Notes
- Use the step identifier shown in the variable picker when you reference this step in later fields.
- The Clear action removes previous model responses from the test panel. It does not remove your prompt messages.
- The step output is the final assistant response, not the full request metadata.
- When JSON Schema is enabled, later steps can reference the returned object by field instead of parsing raw text.