> ## Documentation Index
> Fetch the complete documentation index at: https://pathlit.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Workflow Copilot Agent Node

> AI agent that can analyze and modify workflow structures

## Overview

The Workflow Copilot Agent Node provides an AI agent that can understand and manipulate workflow structures. This node enables you to:

* Analyze existing workflows and explain their logic
* Suggest improvements to workflow designs
* Programmatically modify workflow structures
* Answer questions about workflow configurations
* Construct new workflow segments

## Configuration Parameters

### Node Configuration

* **Query**:

  Ask questions or give instructions about the workflow

  > *Tell me about this workflow*

  > *What does this workflow do?*

  > *Add a node that sends an email after the LLM node*

* **Workflow Data**:

  The workflow structure (nodes and edges) in JSON format. Typically passed from workflow inputs.

<AccordionGroup>
  <Accordion title="Advanced Settings">
    <ul>
      <li>
        <strong>System Prompt</strong>: Customize the copilot's behavior and capabilities
      </li>

      <li>
        <strong>Model</strong>: Select the language model (must support function calling)
      </li>

      <li>
        <strong>Max Steps</strong>: Maximum reasoning and tool-use iterations (1-50)
      </li>
    </ul>
  </Accordion>
</AccordionGroup>

## Expected Inputs and Outputs

* **Inputs**:

  * The node accepts workflow data and queries about workflow structure

* **Outputs**:

  * **output**: The copilot's response or modified workflow structure
  * **conversation**: Detailed log of the copilot's reasoning and actions

## Use Case Examples

1. **Workflow Analysis**:

   Analyze complex workflows to understand their logic, identify inefficiencies, or generate documentation.

2. **Automated Workflow Generation**:

   Programmatically create workflow segments based on natural language descriptions.

3. **Workflow Optimization**:

   Get AI-powered suggestions for improving workflow structure, performance, or maintainability.

## Error Handling and Troubleshooting

* **Invalid Workflow Data**:

  Ensure the workflow\_data parameter contains valid JSON with nodes and edges arrays.

* **Model Compatibility**:

  This node requires models with function calling support. Verify your selected model has this capability.

* **Complex Modifications**:

  The copilot works best with clear, specific instructions. Break down complex changes into smaller steps.

If you encounter any issues not covered in this documentation, please reach out to our [support team](mailto:dev@pathlit.ai) for assistance.

## Relevant Nodes

<CardGroup>
  <Card title="Workflow Invocation Node" href="/docs/nodes/workflow-invocation">
    Execute other workflows
  </Card>

  <Card title="LLM Node" href="/docs/nodes/llm">
    General-purpose AI operations
  </Card>

  <Card title="Router Node" href="/docs/nodes/router">
    Dynamic workflow routing
  </Card>
</CardGroup>