Need help on my interactive story(does not work)

I use rasa interactive to setup the stories. However, when try to run again in rasa shell, It cannot predict correctly:

  • There is no memorised next action
  • Predicted next action using policy_1_FallbackPolicy

My story: it helps insurance agent to get quotation of insurance product.(The form is shortened)


  • query_available_insurance_type
    • action_check_available_insurance_type
  • inform{“insurance_type”: “domestic helper”}
    • slot{“insurance_type”: “domestic helper”}
    • action_check_available_insurance_plan
  • inform{“insurance_plan_id”: “a1”}
    • slot{“insurance_plan_id”: “a1”}
    • utter_provide_info_for_quotation
    • action_process_form (form is activated using this action)
    • followup{“name”: “form_a1”}
    • form{“name”: “form_a1”}
    • form: form_a1
    • slot{“requested_slot”: “intermediary_code”}
  • form: goodbye
    • form: form_a1
    • slot{“intermediary_code”: “1234567890”}
    • form: followup{“name”: “action_listen”}
    • form{“name”: null}
    • slot{“requested_slot”: null}
  • affirm (the prediction fails here)
    • utter_wait
    • action_auto_quotation_and_order

Since I will have lots of forms, I use an action(action_process_form) to activate the corresponding form instead of putting all the possibilities in stories.

When the form submit, it dispatches a message to ask user if the user wants a quotation. When I input ‘yes’, it correctly regonized it as intent ‘affirm’ but fail to predict the action and resolve to fallback instead. Please advise how to setup the story.


language: en

pipeline: supervised_embeddings


  • name: FormPolicy
  • name: FallbackPolicy
  • name: MemoizationPolicy
  • name: MappingPolicy
  • name: KerasPolicy