Router Node

Route workflow execution using AI-powered decision making

Overview

The Router Node uses AI to intelligently route workflow execution to different branches. This node enables you to:

• Make routing decisions based on natural language analysis
• Define multiple output branches with descriptions
• Let AI determine the best path based on input content
• Create dynamic workflows that adapt to different scenarios
• Replace complex conditional logic with intelligent routing

Configuration Parameters

Node Configuration

• Prompt:

  The input or question that the router should analyze to make a routing decision.

  What language is this text written in? Text: {input}

  What category does this support ticket belong to? Ticket: {ticket_content}

  Based on this customer feedback, what action should we take?

• Options:

  Define the possible routing branches. Each option has:

  • Name: The branch identifier
  • Description: Explanation of when this route should be taken

Advanced Settings

• Model: Select the language model for decision making

• System Prompt: Customize how the AI makes routing decisions

• Temperature: Controls randomness (0.0-2.0, default 0.1 for consistent routing)

• Top P: Controls diversity (0.0-1.0, default 0.01 for deterministic routing)

Expected Inputs and Outputs

• Inputs:

  • The node accepts text input that can be referenced in the prompt

• Outputs:

  • reasoning: AI’s explanation for the chosen route
  • selected_option: The name of the selected branch
  • Dynamic output ports for each defined option (only the selected branch activates)

Use Case Examples

1. Language-Based Routing:

   Automatically route customer messages to language-specific support teams based on detected language.

2. Priority Triage:

   Analyze support tickets and route them to appropriate departments or priority queues based on urgency and topic.

3. Content Classification:

   Classify incoming documents and route them to different processing pipelines based on their type or category.

Error Handling and Troubleshooting

• Unclear Routing:

  If the AI cannot confidently choose a route, provide clearer option descriptions or more specific prompts.

• Model Selection:

  Use models with strong reasoning capabilities for complex routing decisions. Lower temperatures ensure consistent routing.

• Option Descriptions:

  Write clear, distinct descriptions for each option to help the AI make accurate routing decisions.

If you encounter any issues not covered in this documentation, please reach out to our support team for assistance.

Relevant Nodes

Conditional Node

Route based on rules and comparisons

LLM Node

Process content before routing

Human Input Node

Let humans make routing decisions