runway-deploy-integration

name	runway-deploy-integration
description	Runway deploy integration — AI video generation and creative AI platform. Use when working with Runway for video generation, image editing, or creative AI. Trigger with phrases like "runway deploy integration", "runway-deploy-integration", "AI video generation".
allowed-tools	Read, Write, Edit, Bash(pip:*), Bash(npm:*), Bash(curl:*), Grep
version	1.4.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","runway","ai","video-generation","creative"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

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.