I have set up a Rasa bot integrated with Twilio. I have several slots that I would like to fill in the Rasa bot based on Twilio metadata (i.e. the user’s location, the time the message was sent, etc.) I have held off on training the bot, because I would like the stories to be dependent upon certain fields of the Twilio metadata.
For example, I would like Rasa to know whether or not the conversant has communicated to Rasa within the past 24 hours.
- How do I incorporate Twilio metadata for the purposes of training Rasa core?
- I would like to use Rasa interactive mode from the command line to train the bot. Is there any way to provide “placeholder” Twilio data to simulate actual metadata and have the bot learn likely stories (intent paths) this way?