Functionality
The Call Neuron node:- Executes another neuron using the current input
- Passes all context from the current workflow
- Returns the called neuron’s response
- Enables workflow modularity and reuse
Usage Examples
Scenario: Modular Processing
In this example, separate neurons handle text formatting and analysis, making the components reusable across different workflows.Scenario: Conditional Neuron Selection
Tips and Best Practices
- Design neurons to be modular and reusable
- Use meaningful neuron names for better workflow readability
- Consider creating utility neurons for common operations
- Remember that called neurons inherit the context of the calling workflow
- Avoid deep nesting of neuron calls to maintain clarity
- Use the same input/output format conventions across related neurons
Common Use Cases
- Language-specific processing
- Reusable validation workflows
- Standard formatting operations
- Complex multi-step analyses
- Error handling patterns
- Template-based generation