From klingai-pack
Configures webhook callbacks for Kling AI video generation tasks (text2video, image2video) to enable event-driven pipelines without polling. Includes Python and Node.js examples.
How this skill is triggered — by the user, by Claude, or both
Slash command
/klingai-pack:klingai-webhook-configThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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"]
print(f"Task {task_id} submitted with callback -- no polling needed")
from flask import Flask, request, jsonify
import hmac
import hashlib
import json
app = Flask(__name__)
@app.route("/webhooks/kling", methods=["POST"])
def kling_webhook():
payload = request.get_json()
task_id = payload["data"]["task_id"]
status = payload["data"]["task_status"]
if status == "succeed":
video_url = payload["data"]["task_result"]["videos"][0]["url"]
print(f"Task {task_id} complete: {video_url}")
# Download video, store to S3, notify user, etc.
process_completed_video(task_id, video_url)
elif status == "failed":
error = payload["data"].get("task_status_msg", "Unknown error")
print(f"Task {task_id} failed: {error}")
handle_failure(task_id, error)
return jsonify({"received": True}), 200
import express from "express";
const app = express();
app.use(express.json());
app.post("/webhooks/kling", (req, res) => {
const { data } = req.body;
const { task_id, task_status } = data;
if (task_status === "succeed") {
const videoUrl = data.task_result.videos[0].url;
console.log(`Task ${task_id} complete: ${videoUrl}`);
processVideo(task_id, videoUrl);
} else if (task_status === "failed") {
console.error(`Task ${task_id} failed: ${data.task_status_msg}`);
}
res.json({ received: true });
});
app.listen(3000);
{
"code": 0,
"message": "success",
"data": {
"task_id": "abc123...",
"task_status": "succeed",
"task_status_msg": "",
"task_result": {
"videos": [{
"id": "vid_001",
"url": "https://cdn.klingai.com/...",
"duration": "5.0"
}]
}
}
}
import time
from collections import defaultdict
class WebhookManager:
"""Track webhook delivery and fall back to polling on failure."""
def __init__(self, poll_fallback_sec: int = 300):
self.pending = {} # task_id -> submission_time
self.poll_fallback_sec = poll_fallback_sec
def register(self, task_id: str):
self.pending[task_id] = time.time()
def mark_received(self, task_id: str):
self.pending.pop(task_id, None)
def get_stale_tasks(self) -> list:
"""Tasks that haven't received a callback within threshold."""
now = time.time()
return [tid for tid, submitted in self.pending.items()
if now - submitted > self.poll_fallback_sec]
def fallback_poll(self, client):
"""Poll stale tasks that missed their callback."""
for task_id in self.get_stale_tasks():
try:
result = client._get(f"/videos/text2video/{task_id}")
status = result["data"]["task_status"]
if status in ("succeed", "failed"):
self.mark_received(task_id)
return result
except Exception:
pass
| Requirement | Detail |
|---|---|
| Protocol | HTTPS only |
| Response | Return 2xx within 5 seconds |
| Availability | Must be publicly reachable |
| Idempotency | Handle duplicate deliveries gracefully |
| Timeout | Kling retries on timeout, so process async |
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin klingai-packBuilds async Kling AI video generation workflows using Redis queues, callbacks, polling, and Python code for task submission and job processing.
Provides patterns for Runway webhook events and Python SDK integration for AI video generation, image editing. Use for task creation, output handling in creative AI workflows.
Generates videos from text prompts or images, animates still images, and creates talking avatars from photos with audio using Kling AI models (VIDEO 3.0, Avatar 2.0, etc.). Handles multi-shot storyboards, character consistency, and prompt engineering.