# Run Script Block

## Overview

The **Run Script** block runs a Workflow Script file and maps its inputs and outputs to workflow variables. It acts as the connection point between a script written in the Script Editor and the broader workflow on the Automations Canvas.

See [Workflow Scripts](/docs/building-ai-agents/workflow-scripts.md) to get started.

## Configuration

### Source Code

Select the Workflow Script file you want to run from the dropdown. Source code that will be executed when the Agent runs.

### Parameters

#### Input Variables

Map workflow variables to the script's input parameters. Each row shows the parameter name and the workflow variable to assign to it.

<table><thead><tr><th width="203.83203125">Field</th><th>Description</th></tr></thead><tbody><tr><td>Parameter name</td><td>The input parameter defined in the script (e.g., <code>topic</code>)</td></tr><tr><td>Variable</td><td>The workflow variable whose value will be passed in (e.g., <code>{{topic}}</code>)</td></tr></tbody></table>

{% hint style="info" %}
Assign values to the launch variables of the selected script.
{% endhint %}

#### Output Variables

Map the script's return values to workflow variables so they can be used by following blocks.

<table><thead><tr><th width="206.19921875">Field</th><th>Description</th></tr></thead><tbody><tr><td>Return key</td><td>The key from the script's return object (e.g., <code>summary</code>)</td></tr><tr><td>Variable</td><td>The workflow variable to store the value in (e.g., <code>{{summary}}</code>)</td></tr></tbody></table>

{% hint style="info" %}
Map the return values of the script to workflow variables.
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://university.mindstudio.ai/docs/building-ai-agents/blocks-reference/run-script-block.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.