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Configure webhook callbacks for Kling AI task completion.
Passed 21 of 21 test cases with the skill, and 16 of 21 without it.
and 2 more in the full report
5 fixed18 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our devops team is configuring timeout policies for our HTTP proxy in front of our Kling AI webhook receiver. What is the maximum response time limit within which our webhook server must return a 2xx status code to Kling AI before Kling considers the request timed out?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies a maximum timeout limit of 5 seconds. | Missed | Passed |
The instructions your model reads when the skill loads.
Instead of polling task status, pass a callback_url when creating a task. Kling AI will POST the completed task result to your URL when generation finishes. This eliminates polling overhead and reduces API calls.
Supported on: All video generation endpoints (text2video, image2video, video-extend, lip-sync, effects)
callback_url in your task creation requestsucceed or failed), Kling POSTs the full result to your URLimport jwt, time, os, requests
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"}
# Create task with callback
response = requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
"model_name": "kling-v2-master",
"prompt": "A futuristic city skyline at night with neon lights",
"duration": "5",
"mode": "standard",
"callback_url": "https://your-app.com/webhooks/kling", # your endpoint
})
task_id = response.json()["data"]["task_id"]
test cases passed, vs 16 / 21 without
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