An intent categorizes an end-user’s intention for one conversation
turn. For each agent, you define many intents, where your combined
intents can handle a complete conversation. When an end-user writes or
says something, referred to as an end-user expression or end-user
input, Dialogflow matches the end-user input to the best intent in
your agent. Matching an intent is also known as intent classification.
For more information, see the intent guide
<https://cloud.google.com/dialogflow/docs/intents-overview>__.
Required. The name of this intent.
Optional. 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.
Optional. Indicates whether Machine Learning is disabled for
the intent. Note: If ml_disabled setting is set to true,
then this intent is not taken into account during inference in
ML ONLY match mode. Also, auto-markup in the UI is turned
off.
Optional. The collection of event names that trigger the intent. If the collection of input contexts is not empty, all of the contexts must be present in the active user session for an event to trigger this intent. Event names are limited to 150 characters.
Optional. The name of the action associated with the intent. Note: The action name must not contain whitespaces.
Optional. Indicates whether to delete all contexts in the current session when this intent is matched.
Optional. The collection of rich messages corresponding to the
Response field in the Dialogflow console.
Read-only. The unique identifier of the root intent in the
chain of followup intents. It identifies the correct followup
intents chain for this intent. We populate this field only in
the output. Format: projects/<Project
ID>/agent/intents/<Intent ID>.
Read-only. Information about all followup intents that have this intent as a direct or indirect parent. We populate this field only in the output.
Inheritance
builtins.object > google.protobuf.pyext._message.CMessage > builtins.object > google.protobuf.message.Message > IntentClasses
FollowupIntentInfo
Represents a single followup intent in the chain.
The unique identifier of the followup intent’s parent. Format:
projects/<Project ID>/agent/intents/<Intent ID>.
Message
A rich response message. Corresponds to the intent Response field
in the Dialogflow console. For more information, see Rich response
messages <https://cloud.google.com/dialogflow/docs/intents-rich-
messages>__.
The text response.
The quick replies response.
A custom platform-specific response.
The basic card response for Actions on Google.
The link out suggestion chip for Actions on Google.
The carousel card response for Actions on Google.
Table card for Actions on Google.
Optional. The platform that this message is intended for.
Parameter
Represents intent parameters.
Required. The name of the parameter.
Optional. The default value to use when the value yields
an empty result. Default values can be extracted from contexts
by using the following syntax:
#context_name.parameter_name.
Optional. Indicates whether the parameter is required. That is, whether the intent cannot be completed without collecting the parameter value.
Optional. Indicates whether the parameter represents a list of values.
TrainingPhrase
Represents an example that the agent is trained on.
Required. The type of the training phrase.
Optional. Indicates how many times this example was added to the intent. Each time a developer adds an existing sample by editing an intent or training, this counter is increased.