klingai-ci-integration

name	klingai-ci-integration
description	Integrate Kling AI video generation into CI/CD pipelines. Use when automating video content in GitHub Actions or GitLab CI. Trigger with phrases like 'klingai ci', 'kling ai github actions', 'klingai automation', 'automated video generation'.
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.18.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","kling-ai","ci-cd","automation"]
compatibility	Designed for Claude Code

Kling AI CI Integration

Overview

Automate video generation in CI/CD pipelines. Common use cases: generate product demos on release, create marketing videos from prompts in a YAML file, regression-test video quality across model versions.

GitHub Actions Workflow

# .github/workflows/generate-videos.yml
name: Generate Videos
on:
  workflow_dispatch:
    inputs:
      prompt:
        description: "Video prompt"
        required: true
      model:
        description: "Model version"
        default: "kling-v2-master"

jobs:
  generate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-python@v5
        with:
          python-version: "3.11"

      - name: Install dependencies
        run: pip install PyJWT requests

      - name: Generate video
        env:
          KLING_ACCESS_KEY: ${{ secrets.KLING_ACCESS_KEY }}
          KLING_SECRET_KEY: ${{ secrets.KLING_SECRET_KEY }}
        run: 
         
         
        
           
           
           

CI Generation Script

#!/usr/bin/env python3
"""scripts/generate-video.py -- CI-friendly video generation."""
import argparse
import jwt
import time
import os
import requests
import sys

BASE = "https://api.klingai.com/v1"

def get_headers():
    ak, sk = os.environ["KLING_ACCESS_KEY"], os.environ["KLING_SECRET_KEY"]
    token = jwt.encode(
        {"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5},
        sk, algorithm="HS256", headers={"alg": "HS256", "typ": "JWT"}
    )
    return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--prompt", required=True)
    parser.add_argument("--model", default="kling-v2-master")
    parser.add_argument("--duration", default="5")
    parser.add_argument("--mode", default="standard")
    parser.add_argument("--output", default="output/")
    parser.add_argument("--timeout", type=int, default=600)
    args = parser.parse_args()

    os.makedirs(args.output, exist_ok=)

    
    r = requests.post(, headers=get_headers(), json={
        : args.model,
        : args.prompt,
        : args.duration,
        : args.mode,
    })
    r.raise_for_status()
    task_id = r.json()[][]
    ()

    
    start = time.monotonic()
     time.monotonic() - start < args.timeout:
        time.sleep()
        result = requests.get(
            , headers=get_headers()
        ).json()
        status = result[][]
        elapsed = (time.monotonic() - start)
        ()

         status == :
            video_url = result[][][][][]
            filepath = os.path.join(args.output, )
             (filepath, )  f:
                f.write(requests.get(video_url).content)
            ()
            

         status == :
            (, file=sys.stderr)
            sys.exit()

    (, file=sys.stderr)
    sys.exit()

 __name__ == :
    main()

Batch from YAML Config

# video-prompts.yml
videos:
  - name: product-hero
    prompt: "Sleek laptop floating in space with particle effects"
    model: kling-v2-6
    mode: professional
  - name: feature-demo
    prompt: "Dashboard interface morphing between screens"
    model: kling-v2-5-turbo
    mode: standard

import yaml

with open("video-prompts.yml") as f:
    config = yaml.safe_load(f)

for video in config["videos"]:
    task_id = submit_async(video["prompt"], model=video["model"])
    print(f"{video['name']}: {task_id}")

GitLab CI

# .gitlab-ci.yml
generate-video:
  image: python:3.11-slim
  stage: build
  script:
    - pip install PyJWT requests
    - python3 scripts/generate-video.py --prompt "$VIDEO_PROMPT" --output output/
  artifacts:
    paths:
      - output/*.mp4
    expire_in: 7 days
  variables:
    KLING_ACCESS_KEY: $KLING_ACCESS_KEY
    KLING_SECRET_KEY: $KLING_SECRET_KEY

Secret Management

Platform	Store AK/SK in
GitHub Actions	Repository Secrets
GitLab CI	CI/CD Variables (masked)
AWS CodeBuild	Parameter Store / Secrets Manager
GCP Cloud Build	Secret Manager

Never put API keys in the workflow YAML or commit them to the repo.

Resources

• API Reference
• GitHub Actions Docs