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Production reference architecture for Kling AI video generation platforms.
Passed 12 of 22 test cases with the skill, and 9 of 22 without it.
and 5 more in the full report
6 fixed6 passed either way7 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Most SaaS free tiers disable background concurrency or allow up to 2 parallel tasks. What are the maximum concurrent tasks and required worker node allocations specified for Free tier users on our video platform?
| Checked | Without skill | With skill |
|---|---|---|
| Sets the Free tier maximum concurrent tasks to 1 | Missed | Passed |
| Allocates 1 worker for the Free tier | Missed | Passed |
The instructions your model reads when the skill loads.
Production architecture for video generation platforms built on Kling AI. Covers API gateway, job queue, worker pool, storage, and monitoring layers.
User Request
|
[API Gateway / Load Balancer]
|
[Application Server]
|--- validate prompt & estimate cost
|--- enqueue job to Redis/SQS
|
[Job Queue (Redis / SQS / Pub/Sub)]
|
[Worker Pool (N workers)]
|--- generate JWT token
|--- POST https://api.klingai.com/v1/videos/text2video
|--- receive task_id
|--- register callback_url OR poll
|
[Webhook Receiver / Poller]
|--- receive completion callback
|--- download video from Kling CDN
|--- upload to S3/GCS
|--- update job status in DB
|--- notify user
|
[Object Storage (S3 / GCS)]
|
[CDN (CloudFront / Cloud CDN)]
|
User views video
test cases passed, vs 9 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.