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

• [ ] AK/SK stored in secrets manager (not .env in repo)
• [ ] JWT auto-refresh with 5-min buffer before 30-min expiry
• [ ] Separate API keys per environment (dev/staging/prod)
• [ ] Key rotation schedule (quarterly minimum)
• [ ] Authorization: Bearer format verified

Error Handling

• [ ] HTTP 400/401/402/403/429/5xx all handled
• [ ] Exponential backoff with jitter for 429/5xx retries
• [ ] Max retry limit set (3-5, not infinite)
• [ ] taskstatus: "failed" logs taskstatus_msg
• [ ] 30s timeout on all HTTP calls
• [ ] duration sent as string "5" not integer 5

Cost Controls

• [ ] Daily credit budget enforced in code
• [ ] Alert at 80% daily budget consumption
• [ ] standard mode used for non-final renders
• [ ] Max poll attempts cap (no infinite loops)
• [ ] Credit estimate before batch submission

# Pre-batch credit check
credits_needed = len(prompts) * 10  # 10 credits per 5s standard
if credits_needed > DAILY_BUDGET:
    raise RuntimeError(f"Batch needs {credits_needed}, budget is {DAILY_BUDGET}")

Task Management

• [ ] All task_ids logged with timestamp
• [ ] Stuck task detection (>10 min in processing)
• [ ] callback_url used instead of polling in production
• [ ] Failed tasks queued for retry
• [ ] Video URLs downloaded promptly (Kling CDN URLs expire)

Content Safety

• [ ] Prompts validated before API submission
• [ ] User-generated prompts sanitized
• [ ] Default negative prompt includes safety terms
• [ ] Content moderation on user-facing apps
• [ ] Policy violation errors handled gracefully

Security

• [ ] API keys never logged (redacted in debug output)
• [ ] Video URLs treated as temporary (store on own CDN)
• [ ] Webhook endpoints HTTPS-only
• [ ] Rate limiting on your API layer
• [ ] No sensitive data in prompt strings

Monitoring

• [ ] API latency tracked per endpoint
• [ ] Success/failure rate dashboard
• [ ] Credit consumption metrics
• [ ] Alert on >5% failure rate
• [ ] Structured JSON logs for all API calls

Performance

• [ ] Connection pooling via requests.Session()
• [ ] Concurrent tasks within API tier limit
• [ ] Video downloads async/background
• [ ] Generated videos CDN-cached

# Connection pooling
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

• API Reference
• Content Policy
• Developer Portal