I have defined a rule that nlu_fallback intent should trigger action_custom_fallback. Nowhere else in my stories and rules have I specified that some other intent should also trigger the custom_fallback action. Still for some reason, many times an intent other than nlu_fallback triggers the action_custom_fallback, when some distance is traversed well into the conversation with the bot. I tried varying the fallback threshold from 0.3 to 0.5 and 0.3 back again. Still no avail. Here is my config.yml # Configuration for Rasa NLU. # https://rasa.com/docs/rasa/nlu/components/ language: en pipeline: # # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model. # # If you'd like to customize it, uncomment and adjust the pipeline. # # See https://rasa.com/docs/rasa/tuning-your-model for more information. - name: WhitespaceTokenizer - name: RegexEntityExtractor - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer analyzer: char_wb min_ngram: 1 max_ngram: 4 - name: DIETClassifier epochs: 100 constrain_similarities: true random_seed: 1 - name: EntitySynonymMapper - name: ResponseSelector epochs: 100 constrain_similarities: true random_seed: 1 # - name: DucklingHTTPExtractor # url: http://0.0.0.0:8000 # dimensions: ["account_number","number","mobile_number"] # timezone: "India/Kolkata" # timeout: 3 - name: FallbackClassifier threshold: 0.3 # ambiguity_threshold: 0.1 # - name: SpacyNLP # model: "en_core_web_sm" # - name: SpacyTokenizer # - name: SpacyFeaturizer # pooling: mean # - name: RegexFeaturizer # - name: CRFEntityExtractor # - name: regex.RegexEntityExtractor # - name: EntitySynonymMapper # - name: "SklearnIntentClassifier" policies: # # No configuration for policies was provided. The following default policies were used to train your model. # # If you'd like to customize them, uncomment and adjust the policies. # # See https://rasa.com/docs/rasa/policies for more information. - name: AugmentedMemoizationPolicy - name: TEDPolicy max_history: 5 epochs: 100 random_seed: 1 # model_confidence: linear_norm constrain_similarities: true - name: RulePolicy core_fallback_threshold: 0.3 core_fallback_action_name: "action_custom_fallback" enable_fallback_prediction: True I also tried giving multiple rules for nlu_fallback intent with various slot conditions: - rule: Ask the user to rephrase whenever they send a message with low NLU confidence | is_authenticated - False condition: - slot_was_set: - is_authenticated: False steps: - intent: nlu_fallback - action: action_custom_fallback - rule: Ask the user to rephrase whenever they send a message with low NLU confidence | is_authenticated - True | is_activated - N condition: - slot_was_set: - is_authenticated: True - is_activated: N steps: - intent: nlu_fallback - action…

Intent other than nlu_falback, triggering action_custom_fallback

stephens (Greg Stephens) December 26, 2022, 11:42pm 2

Review the debug log to see what is happening with the nlu & dialog prediction.

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