runway-hello-world

name	runway-hello-world
description	Runway hello world — 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 hello world", "runway-hello-world", "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 Hello World

Overview

Generate your first AI video from a text prompt using Runway's Gen-3 Alpha model.

Prerequisites

• Completed runway-install-auth
• API credits available in your Runway account

Instructions

Step 1: Text-to-Video Generation

from runwayml import RunwayML

client = RunwayML()

# Create a text-to-video generation task
task = client.image_to_video.create(
    model='gen3a_turbo',
    prompt_text='A golden retriever running through a field of sunflowers, cinematic lighting, slow motion',
    duration=5,  # 5 or 10 seconds
    ratio='16:9',  # 16:9 or 9:16
)
print(f"Task created: {task.id}")

Step 2: Poll for Completion

import time

# The SDK has a built-in helper for polling
task_result = client.tasks.retrieve(task.id)

# Or poll manually
while task_result.status not in ('SUCCEEDED', 'FAILED'):
    time.sleep(5)
    task_result = client.tasks.retrieve(task.id)
    print(f"  Status: {task_result.status}")

if task_result.status == 'SUCCEEDED':
    print(f"Video URL: {task_result.output[0]}")
else:
    print(f"Failed: {task_result.failure}")

Step 3: Download the Video