Hello everyone, I am using a HTTPInputComponent for serving the bot as an API similar to how it was highlighted in this github issue https://github.com/RasaHQ/rasa_core/issues/119. The code for my class is like this class SimpleWebBot(HttpInputComponent): """A simple web bot that listens on a url and responds.""" def blueprint(self, on_new_message): custom_webhook = Blueprint('custom_webhook', __name__) @custom_webhook.route("/status", methods=['GET']) def health(): # pylint: disable=unused-variable return jsonify({"status": "ok"}) @custom_webhook.route("/", methods=['POST']) def receive(): # pylint: disable=unused-variable payload = request.json sender_id = payload.get("sender", None) text = payload.get("message", None) out = CollectingOutputChannel() on_new_message(UserMessage(text, out, sender_id)) response = { 'messages': [m['text'] for m in out.messages], 'sender': sender_id } if is_goodbye_message(response['messages']): response['status'] = 'END' return jsonify(response) return custom_webhook This API endpoint is used by a web server (referred to as nlp-core from now) which forwards relevant customer queries to the bot. nlp-core stores preferences like preferred weather units (metric vs imperial) etc. which I would like to forward to rasa but I can’t find a way. One workaround would be to store the preferences in an in memory database like redis and have rasa_core actions read the preferences. But this might not work elegantly in my design as rasa_core only takes an id for a conversation, and further information may be required to get the correct preferences. Is there a way to send some data to the bot? Or set some slots manually for a conversation?

How to send preferences to rasa_core when using HTTPInputComponent

sam1 (siri) December 17, 2018, 11:05am 2

@muneeb could give more details about how we trigger this httpinputcomponent

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