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

But I don’t code in python!

While python is the lingua franca of machine learning, we’re aware that most chatbots are built in javascript, and that many enterprises are more comfortable building & shipping applications in java, C#, etc.

We’ve made every effort to make sure that you can still use Rasa Core even if you don’t want to use python. However, do consider that Rasa Core is a framework, and doesn’t fit into a REST API as easily as Rasa NLU does.

Rasa Core with minimal Python

You can build a chatbot with Rasa Core by:

The only part where you need to write python is when you want to define custom actions. There’s an excellent python library called requests, which makes HTTP programming painless. If Rasa just needs to interact with your other services over HTTP, your actions will all look something like this:

from rasa_core.actions import Action
import requests

class ApiAction(Action):
    def name(self):
        return "my_api_action"

    def run(self, dispatcher, tracker, domain):
        data = requests.get(url).json
        return [SlotSet("api_result", data)]

Rasa Core with ZERO Python

If you are really constrained to not use any python, you can also use Rasa Core through a HTTP API.