This is documentation for Rasa Documentation v2.x, which is no longer actively maintained.
For up-to-date documentation, see the latest version (3.x).

Version: 2.x


NaturalLanguageGenerator Objects

class NaturalLanguageGenerator()

Generate bot utterances based on a dialogue state.


| async generate(utter_action: Text, tracker: "DialogueStateTracker", output_channel: Text, **kwargs: Any, ,) -> Optional[Dict[Text, Any]]

Generate a response for the requested utter action.

There are a lot of different methods to implement this, e.g. the generation can be based on responses or be fully ML based by feeding the dialogue state into a machine learning NLG model.


| @staticmethod
| create(obj: Union["NaturalLanguageGenerator", EndpointConfig, None], domain: Optional[Domain]) -> "NaturalLanguageGenerator"

Factory to create a generator.