Runway Deploy Integration Skill

Runway Deploy Integration

Overview

Implementation patterns for Runway deploy integration — 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 deploy integration

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
Python SDK

Next Steps

See related Runway skills for more workflows.

Agent Skills: Runway Deploy Integration

Install this agent skill to your local

Skill Files