klingai-storage-integration

name	klingai-storage-integration
description	Download and store Kling AI generated videos in cloud storage (S3, GCS, Azure). Use when persisting videos or building CDN pipelines. Trigger with phrases like 'klingai storage', 'save klingai video', 'kling ai s3 upload', 'klingai cloud storage'.
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.18.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","kling-ai","storage","s3","gcs"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Kling AI Storage Integration

Overview

Kling AI video URLs from task_result.videos[].url are temporary CDN links that expire. You must download and store videos in your own storage. This skill covers S3, GCS, and Azure Blob.

Download from Kling CDN

import requests
import os

def download_video(video_url: str, output_dir: str = "output") -> str:
    """Download generated video from Kling CDN."""
    os.makedirs(output_dir, exist_ok=True)

    # Extract filename or generate one
    filename = video_url.split("/")[-1].split("?")[0]
    if not filename.endswith(".mp4"):
        filename = f"kling_{int(time.time())}.mp4"

    filepath = os.path.join(output_dir, filename)
    response = requests.get(video_url, stream=True, timeout=120)
    response.raise_for_status()

    with open(filepath, "wb") as f:
        for chunk in response.iter_content(chunk_size=8192):
            f.write(chunk)

    size_mb = os.path.getsize(filepath) / (1024 * 1024)
    print(f"Downloaded: {filepath} ({size_mb:.1f} MB)")
    return filepath

Upload to AWS S3

import boto3

 () -> :
    
    s3 = boto3.client()
    filename = os.path.basename(filepath)
    s3_key = 

    s3.upload_file(
        filepath, bucket, s3_key,
        ExtraArgs={: , : }
    )

    url = 
    ()
     url


 () -> :
    s3 = boto3.client()
     s3.generate_presigned_url(
        ,
        Params={: bucket, : key},
        ExpiresIn=expiry,
    )