Warning: This document is for an old version of Rasa Core. The latest version is 0.14.5.

Event Brokers

Rasa Core allows you to stream events to a message broker. The example implementation we’re going to show you here uses Pika, the Python client library for RabbitMQ.

The event broker emits events into the event queue. It becomes part of the TrackerStore which you use when starting an Agent or launch rasa_core.run.

Adding an Event Broker Using the Endpoint Configuration

You can use an endpoint configuration file to instruct Rasa Core to stream all events to your event broker. To do so, add the following section to your endpoint configuration, e.g. endpoints.yml:

event_broker:
  url: localhost
  username: username
  password: password
  queue: queue
  type: pika

Then instruct Rasa Core to use the endpoint configuration by adding --endpoints <path to your endpoint configuration when running it.

Adding an Event Broker in Python

Here is how you add it using Python code:

from rasa_core.broker import PikaProducer
from rasa_platform.core.tracker_store import InMemoryTrackerStore

pika_broker = PikaProducer('localhost',
                            'username',
                            'password',
                            queue='rasa_core_events')

tracker_store = InMemoryTrackerStore(db=db, event_broker=pika_broker)

Implementing an Event Consumer

All events are streamed to RabbitMQ as serialised dictionaries every time the tracker updates it state. An example event emitted from the default tracker looks like this:

{
    "sender_id": "default",
    "timestamp": 1528402837.617099,
    "event": "bot",
    "text": "what your bot said",
    "data": "some data"
}

The event field takes the event’s type_name (for more on event types, check out the Events docs). You need to have a RabbitMQ server running, as well as another application that consumes the events. This consumer to needs to implement Pika’s start_consuming() method with a callback action. Here’s a simple example:

import json
import pika


def _callback(self, ch, method, properties, body):
        # Do something useful with your incoming message body here, e.g.
        # saving it to a database
        print('Received event {}'.format(json.loads(body)))

if __name__ == '__main__':

    # RabbitMQ credentials with username and password
    credentials = pika.PlainCredentials('username', 'password')

    # pika connection to the RabbitMQ host - typically 'rabbit' in a
    # docker environment, or 'localhost' in a local environment
    connection = pika.BlockingConnection(
        pika.ConnectionParameters('rabbit', credentials=credentials))

    # start consumption of channel
    channel = connection.channel()
    channel.basic_consume(_callback,
                          queue='rasa_core_events',
                          no_ack=True)
    channel.start_consuming()

Have questions or feedback?

We have a very active support community on Rasa Community Forum that is happy to help you with your questions. If you have any feedback for us or a specific suggestion for improving the docs, feel free to share it by creating an issue on Rasa Core GitHub repository.