| name | klingai-prod-checklist |
| description | Production readiness checklist for Kling AI integrations. Use before going live or during
deployment review. Trigger with phrases like 'klingai production ready', 'kling ai go live',
'klingai checklist', 'deploy klingai'.
|
| allowed-tools | Read, Write, Edit, Bash(npm:*), Grep |
| version | 1.18.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","kling-ai","production","deployment"] |
| compatibility | Designed for Claude Code |
Kling AI Production Checklist
Overview
Checklist covering authentication, error handling, cost controls, monitoring, security, and content policy before deploying Kling AI video generation to production.
Authentication
Error Handling
Cost Controls
credits_needed = len(prompts) * 10
if credits_needed > DAILY_BUDGET:
raise RuntimeError(f"Batch needs {credits_needed}, budget is {DAILY_BUDGET}")
Task Management
Content Safety
Security
Monitoring
Performance
session = requests.Session()
adapter = requests.adapters.HTTPAdapter(pool_connections=5, pool_maxsize=10)
session.mount("https://", adapter)
Pre-Launch Smoke Test
from kling_client import KlingClient
c = KlingClient()
result = c.text_to_video("test: blue sky with clouds", duration=5, mode="standard")
assert result["videos"][0]["url"], "No video URL"
print("READY FOR PRODUCTION")
Resources