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
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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.
Advanced Settings
Advanced Settings
- System Prompt: Customize the copilot’s behavior and capabilities
- Model: Select the language model (must support function calling)
- Max Steps: Maximum reasoning and tool-use iterations (1-50)
Expected Inputs and Outputs
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Inputs:
- The node accepts workflow data and queries about workflow structure
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Outputs:
- output: The copilot’s response or modified workflow structure
- conversation: Detailed log of the copilot’s reasoning and actions
Use Case Examples
- Workflow Analysis: Analyze complex workflows to understand their logic, identify inefficiencies, or generate documentation.
- Automated Workflow Generation: Programmatically create workflow segments based on natural language descriptions.
- 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.