Intent is the Schema for the Intents API. An intent represents a user's intent to interact with a conversational agent.
IntentSpec defines the desired state of Intent
No description provided.
The collection of training phrases the agent is trained on to identify the intent. Structure is documented below.
The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: Part.text is set to a part of the phrase that has no parameters. Part.text is set to a part of the phrase that you want to annotate, and the parameterId field is set. Structure is documented below.
PublishConnectionDetailsTo specifies the connection secret config which contains a name, metadata and a reference to secret store config to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource.
WriteConnectionSecretToReference specifies the namespace and name of a Secret to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource. This field is planned to be replaced in a future release in favor of PublishConnectionDetailsTo. Currently, both could be set independently and connection details would be published to both without affecting each other.
IntentStatus defines the observed state of Intent.
apiVersion: dialogflowcx.gcp.upbound.io/v1beta1 kind: Intent metadata: annotations: meta.upbound.io/example-id: dialogflowcx/v1beta1/intent labels: testing.upbound.io/example-name: intent name: intent spec: forProvider: description: Intent example displayName: Example labels: label1: value1 label2: value2 parameters: - entityType: projects/-/locations/-/agents/-/entityTypes/sys.date id: param1 parentSelector: matchLabels: testing.upbound.io/example-name: intent priority: 1 trainingPhrases: - parts: - text: training - text: phrase - text: example repeatCount: 1
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© 2022 Upbound, Inc.
© 2022 Upbound, Inc.
Discover the building blocksfor your internal cloud platform.