Class Intent (0.1.1)

Intent(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent.

Attributes

NameDescription
name str
The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: projects/.
display_name str
Required. The human-readable name of the intent, unique within the agent.
training_phrases Sequence[.gcdc_intent.Intent.TrainingPhrase]
The collection of training phrases the agent is trained on to identify the intent.
parameters Sequence[.gcdc_intent.Intent.Parameter]
The collection of parameters associated with the intent.
priority int
The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the Normal priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.
is_fallback bool
Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.

Classes

Parameter

Parameter(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents an intent parameter.

TrainingPhrase

TrainingPhrase(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents an example that the agent is trained on to identify the intent.