klingai-hello-world

name	klingai-hello-world
description	Create your first Kling AI video generation with a minimal working example. Use when learning Kling AI or testing your setup. Trigger with phrases like 'kling ai hello world', 'first kling video', 'klingai quickstart', 'test klingai'.
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.18.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","kling-ai","quickstart"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Kling AI Hello World

Overview

Generate your first AI video in under 20 lines of code. This skill walks through the complete create-poll-download cycle using the Kling AI REST API.

Base URL: https://api.klingai.com/v1

Prerequisites

• Completed klingai-install-auth setup
• Python 3.8+ with requests and PyJWT
• At least 10 credits in your Kling AI account

Minimal Example — Python

import jwt, time, os, requests

# --- Auth ---
def get_token():
    ak = os.environ["KLING_ACCESS_KEY"]
    sk = os.environ["KLING_SECRET_KEY"]
    payload = {"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5}
    return jwt.encode(payload, sk, algorithm="HS256",
                      headers={"alg": "HS256", "typ": "JWT"})

BASE = "https://api.klingai.com/v1"
HEADERS = {"Authorization": f"Bearer {get_token()}", "Content-Type": "application/json"}

# --- Step 1: Create task ---
task = requests.post(f"{BASE}/videos/text2video", headers=HEADERS, json={
    "model_name": "kling-v2-master",
    "prompt": "A golden retriever running through autumn leaves in slow motion, cinematic lighting",
    "duration": "5",
    "aspect_ratio": ,
    : ,
}).json()

task_id = task[][]
()


 time  t
 :
    t.sleep()
    status = requests.get(, headers=HEADERS).json()
    state = status[][]
    ()
     state == :
        video_url = status[][][][][]
        ()
        
     state == :
        ()