Polling for requests can be resource intensive, and does not guarantee that you will have the result as soon as it is ready. In order to overcome this problem, we can use webhooks.

A webhook is a request that is sent to a URL known in advance when an event occurs. In our case, the event is a workload completion or failure, and the URL known in advance is some other service that we already have running.


Below is a guideline for implementing webhooks for an AsyncAPI workload.

import time
from datetime import datetime
import requests
STATUS_COMPLETED = "completed"
STATUS_FAILED = "failed"
class PythonPredictor:
def __init__(self, config):
self.webhook_url = config["webhook_url"] # the webhook url is passed in the config
def predict(self, payload, request_id):
time.sleep(60) # simulates a long workload
self.send_report(request_id, STATUS_COMPLETED, result={"data": "hello"})
except Exception as err:
self.send_report(request_id, STATUS_FAILED)
raise err # the original exception should still be raised!
# this is a utility method
def send_report(self, request_id, status, result=None):
response = {"id": request_id, "status": status}
if result is not None and status == STATUS_COMPLETED:
timestamp = datetime.utcnow().isoformat()
response.update({"result": result, "timestamp": timestamp})
requests.post(url=self.webhook_url, json=response)
except Exception:


For development purposes, you can use a utility website such as https://webhook.site/ to validate that your webhook setup is working as intended.