| name | output-workflow-start |
| description | Start an Output SDK workflow asynchronously without waiting for completion. Use when starting long-running workflows, getting a workflow ID for later monitoring, running workflows in the background, or executing multiple workflows in parallel. |
| allowed-tools | Bash, Read, Write |
Start Workflow Asynchronously
Overview
This skill starts a workflow asynchronously, meaning the command returns immediately with a workflow ID while the workflow executes in the background. Use this for long-running workflows or when you need to run multiple workflows in parallel.
When to Use This Skill
- Starting workflows that take minutes or hours
- Running multiple workflows in parallel
- When you need to disconnect and check results later
- Monitoring workflow progress separately
- When you need the workflow ID immediately for tracking
When to Use Sync Instead
Consider using npx output workflow run (sync) when:
- Workflow completes quickly (seconds)
- You need the result immediately in your terminal
- Simple testing during development
- You want a single command with the result
Instructions
Basic Syntax
npx output workflow start <workflowName> --input '<json-input>'
npx output workflow start <workflowName> --input <path-to-json-file>
The --input flag is required when the workflow expects input data.
Input Methods
1. Inline JSON
Pass JSON directly on the command line:
npx output workflow start data-migration --input '{"batchSize": 1000}'
2. File Path (Recommended)
Reference a JSON file containing the input:
npx output workflow start data-migration --input src/data_migration/scenarios/large_batch.json
This is the recommended approach because:
- Input is version controlled and reproducible
- Complex inputs are easier to read and edit
- Scenarios can be shared and reused
Getting the Workflow ID
The command outputs the workflow ID which you'll need for:
- Checking status:
npx output workflow status <id> - Getting results:
npx output workflow result <id> - Debugging:
npx output workflow debug <id>
Examples
Scenario: Start a long-running workflow with scenario file
npx output workflow start data-migration --input src/data_migration/scenarios/full_migration.json
# Output:
# Started workflow: data-migration
# Workflow ID: abc123xyz
# Use 'npx output workflow status abc123xyz' to check progress
Scenario: Start multiple workflows in parallel using scenario files
# Start several workflows with different scenario files
npx output workflow start process-batch --input src/process_batch/scenarios/batch_1.json
npx output workflow start process-batch --input src/process_batch/scenarios/batch_2.json
npx output workflow start process-batch --input src/process_batch/scenarios/batch_3.json
# Note: Save the workflow IDs to check them later
Scenario: Create scenario then start workflow
# Create a scenario file
mkdir -p src/generate_report/scenarios
cat > src/generate_report/scenarios/annual_2024.json << 'EOF'
{
"year": 2024,
"includeCharts": true,
"format": "pdf"
}
EOF
# Start the workflow
npx output workflow start generate-report --input src/generate_report/scenarios/annual_2024.json
# Output: Workflow ID: report-2024-abc
# Check status periodically
npx output workflow status report-2024-abc
# Output: Status: RUNNING
# Later, check again
npx output workflow status report-2024-abc
# Output: Status: COMPLETED
# Get the result
npx output workflow result report-2024-abc
Scenario: Quick inline test for development
npx output workflow start quick-job --input '{"test": true}'
Scenario: Script for parallel execution
# Start workflows and capture IDs
ID1=$(npx output workflow start job --input src/job/scenarios/type_a.json | grep "Workflow ID" | cut -d: -f2 | tr -d ' ')
ID2=$(npx output workflow start job --input src/job/scenarios/type_b.json | grep "Workflow ID" | cut -d: -f2 | tr -d ' ')
# Wait and check results
npx output workflow result $ID1
npx output workflow result $ID2
Following Up After Starting
Check Status
npx output workflow status <workflowId>
Status values:
- RUNNING: Still executing
- COMPLETED: Finished successfully
- FAILED: Encountered an error
- TERMINATED: Was manually stopped
Get Result
npx output workflow result <workflowId>
Only works for COMPLETED workflows. For FAILED workflows, use debug.
Debug If Failed
npx output workflow debug <workflowId> --format json
Stop If Needed
npx output workflow stop <workflowId>
Workflow ID Management
When starting multiple workflows, keep track of IDs:
# Log IDs to a file
npx output workflow start batch-job --input src/batch_job/scenarios/id_1.json >> workflow-ids.txt
npx output workflow start batch-job --input src/batch_job/scenarios/id_2.json >> workflow-ids.txt
# Or use a naming convention in your workflow that makes IDs predictable
Best Practices
- Use scenario files: Store inputs in
src/<workflow>/scenarios/for reproducibility - Save the workflow ID: Always note the ID for later reference
- Monitor long workflows: Use
npx output workflow statusto check progress - Handle failures: Check status before getting results
- Clean up: Stop any stuck workflows with
npx output workflow stop
Related Commands
npx output workflow run <name> --input- Execute synchronouslynpx output workflow status <id>- Check execution statusnpx output workflow result <id>- Get execution resultnpx output workflow stop <id>- Stop a running workflownpx output workflow debug <id>- Debug a workflow execution