nlu.yml (1.0 KB)
rules.yml (373 Bytes)
stories.yml (26 Bytes)
I edited down the nlu, rules and stories to these few and still the two actions are run, both action_information and action_default_fallback, when I send one of the messages for action_information, but not when I send the message for action_history.
The slot setting in domain.yml is
- type: from_entity
I have tried setting influence_conversation to false as well and the same thing happens
These are the config settings
config.yml (2.4 KB)
I also tried create one story and tested that and no difference.
stories.yml (205 Bytes)
This is the output from rasa shell:
Bot loaded. Type a message and press enter (use ‘/stop’ to exit):
Your input → tell me about halmstad
c:\users\public\rasa\venv\lib\site-packages\torch\amp\autocast_mode.py:198: UserWarning: User provided device_type of ‘cuda’, but CUDA is not available. Disabling
warnings.warn(‘User provided device_type of 'cuda', but CUDA is not available. Disabling’)
Normal I have information about halmstad! Say information or history to listen!
Your input → information
Normal Halmstad (Swedish: [?h?lmsta(d)] (listen)) is a port, university, industrial and recreational city at the mouth of the Nissan river, in the province of Halland on the Swedish west coast. Halmstad is the seat of Halmstad Municipality and the capital of Halland County.
Normal I did not understand ‘information’. Could you please rephrase it?
Your input → history
Normal Halmstad, at the time part of the Kingdom of Denmark, received its first city charter in 1307, and the city celebrated its 700th anniversary in 2007. The oldest remains of that first town are to be found at Övraby upstream on Nissan, just south of and quite close to the present day regiment buildings.
This is just a small subset from the nlu and rules. Everything else works fine and there are similar situations that works, i.e. asking for something and then having different options on the information extract.
Is there a way to turn off action prediction which seems to be the reason for this.
When I run this with debug on, I get these messages:
Predicted next action ‘action_information’ with confidence 1.00.
which is correct. And it sends the action and performs it well. But then it tries to predict next action and then it goes wrong.
2022-10-10 10:08:59 DEBUG rasa.core.policies.rule_policy - There is no applicable rule.
2022-10-10 10:08:59 DEBUG rasa.engine.graph - Node ‘select_prediction’ running ‘DefaultPolicyPredictionEnsemble.combine_predictions_from_kwargs’.
2022-10-10 10:08:59 DEBUG rasa.core.policies.ensemble - Predicted next action using RulePolicy.
2022-10-10 10:08:59 DEBUG rasa.core.processor - Predicted next action ‘action_default_fallback’ with confidence 0.30.
2022-10-10 10:08:59 DEBUG rasa.core.actions.action - Calling action endpoint to run action ‘action_default_fallback’.
Can I set any attribute to avoid this to happen? I just want it to listen again (action_listen)
I want Rasa to do fallbacks when it gets a message with low intent score, but these intents have a score of 0.99
Please help, sure it is something simple