Call Other Workflow
Action ID: call_other_workflow
Description
Call another workflow.
Input Parameters
workflow_id
string
✓
-
The unique identifier of the workflow to call
workflow_input
string
✓
-
The input data for the called workflow in JSON format
Output Parameters
workflow_run_id
string
The unique identifier for the executed workflow run instance
workflow_output
object or null
The output data returned from the called workflow
error
object or null
Error information if the workflow execution failed
How It Works
This node enables workflow composition by allowing one workflow to invoke another workflow as a sub-process. You provide the target workflow's ID and the input data as JSON, and the node triggers the execution of that workflow, waits for it to complete, and returns both the workflow run ID for tracking and the output data produced by the called workflow, enabling modular and reusable workflow architectures.
Usage Examples
Example 1: Call Image Processing Workflow
Input:
workflow_id: "wf_image_processor_abc123"
workflow_input: {
"image_url": "https://example.com/photo.jpg",
"operations": ["resize", "watermark"],
"target_width": 800
}Output:
workflow_run_id: "run_xyz789def456"
workflow_output: {
"processed_image_url": "https://storage.example.com/processed_photo.jpg",
"dimensions": {
"width": 800,
"height": 600
},
"processing_time": 2.5
}
error: nullExample 2: Call Data Validation Workflow
Input:
workflow_id: "wf_validator_def456"
workflow_input: {
"data": {
"email": "[email protected]",
"phone": "+1-555-0123",
"age": 25
},
"validation_rules": ["email_format", "phone_format", "age_range"]
}Output:
workflow_run_id: "run_abc123xyz789"
workflow_output: {
"is_valid": true,
"validated_fields": ["email", "phone", "age"],
"errors": []
}
error: nullExample 3: Handle Workflow Error
Input:
workflow_id: "wf_payment_processor_ghi789"
workflow_input: {
"amount": 99.99,
"currency": "USD",
"payment_method": "credit_card"
}Output:
workflow_run_id: "run_error123"
workflow_output: null
error: {
"code": "PAYMENT_FAILED",
"message": "Payment gateway timeout",
"details": {
"gateway": "stripe",
"timestamp": "2024-01-15T10:30:00Z"
}
}Common Use Cases
Modular Workflow Architecture: Break complex workflows into smaller, reusable components that can be called independently
Shared Business Logic: Centralize common processing logic (validation, formatting, enrichment) that multiple workflows need
Parallel Processing: Call multiple child workflows in parallel to process different aspects of data simultaneously
Multi-Step Pipelines: Chain workflows together where each workflow handles a specific stage of processing
Testing and Development: Call test workflows from main workflows to validate functionality before production deployment
Dynamic Workflow Selection: Choose which workflow to call based on runtime conditions or data characteristics
Microservices Pattern: Treat workflows as services that can be invoked by other workflows as needed
Error Handling
Workflow Not Found
workflow_id doesn't exist or is inaccessible
Verify the workflow ID is correct and you have access permissions
Invalid Input Format
workflow_input is not valid JSON
Ensure workflow_input is properly formatted JSON matching the called workflow's input schema
Input Validation Failed
Input doesn't match the called workflow's schema
Check the called workflow's required input parameters and provide all necessary fields
Workflow Execution Failed
The called workflow encountered an error
Check the error object for details; review the called workflow's logs
Permission Denied
No permission to call the specified workflow
Ensure you have execution permissions for the target workflow
Timeout
Called workflow execution exceeded time limit
Optimize the called workflow or increase timeout settings
Circular Dependency
Workflow calls itself directly or indirectly
Avoid circular workflow calls; redesign workflow architecture
Notes
Synchronous Execution: This node waits for the called workflow to complete before continuing, which may affect overall workflow execution time.
Input Schema Matching: Ensure the workflow_input JSON structure matches the input schema expected by the called workflow.
Output Handling: The workflow_output structure depends on the called workflow's output schema; plan accordingly.
Error Propagation: If the called workflow fails, the error object will contain details, but the calling workflow continues execution.
Workflow Run ID: The workflow_run_id can be used to track and audit the execution of the called workflow.
Permissions: You must have permission to execute the workflow you're calling; check access controls.
Version Considerations: The node calls the current active version of the specified workflow; be aware of workflow updates.
Resource Usage: Calling workflows consumes execution resources; consider performance and cost implications for deeply nested workflow calls.
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