klingai-ci-integration

# 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 ```yaml # .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: ${{ secrets.KLING_SECRET_KEY }} run: | python3 scripts/generate-video.py \ --prompt "${{ inputs.prompt }}" \ --model "${{ inputs.model }}" \ --output output/ - name: Upload artifact uses: actions/upload-artifact@v4 with: name: generated-video path: output/*.mp4 retention-days: 7 ``` ## CI Generation Script ```python #!/usr/bin/env python3 """scripts/generate-video.py -- CI-friendly video generation.""" import argparse import jwt import time import os import reques...