runway-cost-tuning

Runway Cost Tuning

Overview

Implementation patterns for Runway cost tuning — AI video generation platform.

Prerequisites

• Completed runway-install-auth setup

Instructions

Step 1: SDK Pattern

from runwayml import RunwayML

client = RunwayML()

task = client.image_to_video.create( model='gen3a_turbo', prompt_text='A serene lake at dawn, mist rising, birds flying', duration=5, ) result = task.wait_for_task_output() if result.status == 'SUCCEEDED': print(f"Video: {result.output[0]}")

## Output

- Runway integration for cost tuning

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| 401 Unauthorized | Invalid API key | Check RUNWAYML_API_SECRET |
| 402 Insufficient credits | No credits | Add credits at dev.runwayml.com |
| Task FAILED | Content policy | Adjust prompt |

## Resources

- [Runway API Documentation](https://docs.dev.runwayml.com/)
- [Python SDK](https://github.com/runwayml/sdk-python)

## Next Steps

See related Runway skills for more workflows.