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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 | |
---|---|
Name | Description |
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[
The collection of training phrases the agent is trained on to identify the intent. |
parameters |
Sequence[
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.