klingai-webhook-config

# Kling AI Webhook Configuration ## Overview 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`) ## How It Works 1. Include `callback_url` in your task creation request 2. Kling queues the task normally 3. When task reaches terminal state (`succeed` or `failed`), Kling POSTs the full result to your URL 4. Your webhook handler processes the result ## Sending a Task with Callback ```python import 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"] pr...