I want to implement two stage fallback policy, and i followed this aritcle [image] Fallback and Human Handoff An open source machine learning framework for automated text and voice-based conversations here is config.yml language: en pipeline: # other policies - name: DIETClassifier epochs: 100 entity_recognition: False - name: ResponseSelector epochs: 100 - name: FallbackClassifier threshold: 0.7 policies: - name: TEDPolicy max_history: 10 epochs: 20 - name: AugmentedMemoizationPolicy max_history: 6 - name: RulePolicy added rule in rules.yml - rule: Implementation of the Two-Stage-Fallback steps: - intent: nlu_fallback - action: action_two_stage_fallback - active_loop: action_two_stage_fallback and response in domain.yml responses: utter_ask_rephrase: - text: I'm sorry, I didn't quite understand that. Could you rephrase? and on intent confidence goodbye0.23 it is executing goodbye not the fallback policy. Am i missing something?

I need to mention few params for RulePolicy - name: RulePolicy core_fallback_threshold: 0.3 core_fallback_action_name: "action_default_fallback" enable_fallback_prediction: True further rasa will use raw intent names while guessing the possible most likely intent to user. to solve that [Sunil Garg] rasa nlu fallback is returning intent instead of question python, rasa, rasa-x, fallback-classifer asked by Sunil Garg on 06:29AM - 11 Mar 21 UTC

Hey hi karan, I am facing following problem, please let me how to solve this.

Fall back policy is not working

Rasa Open Source

karan (Nishakaran Pushpa Rajah) November 22, 2022, 2:44am 3

The bot understands and picks up the intent after the ask for affirmation, but there is no action after intent detected. Did you face similar issue?

I am using Rasa 3.1

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Fall back policy is not working

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