57 lines
1.9 KiB
YAML
57 lines
1.9 KiB
YAML
flags:
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priority:
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arg_name: priority
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api_field: googleCloudDialogflowV2Intent.priority
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help_text: |
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Priority of the intent.
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Higher numbers represent higher priorities. Zero or negative numbers mean that the intent is
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disabled. Default priority is 500000.
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is_fallback:
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arg_name: is-fallback
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help_text: If true, set this intent as a fallback intent.
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api_field: googleCloudDialogflowV2Intent.isFallback
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type: bool
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action: store_true
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training_phrases:
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arg_name: training-phrases
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api_field: googleCloudDialogflowV2Intent.trainingPhrases
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type: googlecloudsdk.command_lib.dialogflow.intents.hooks:TrainingPhrasesType
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help_text: |
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List of examples or templates.
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Can be provided as comma separated unannotated examples or as a list training phrase objects.
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To provide training phrase objects, specify the flag with `--flags-file`.
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For example, use `--flags-file=flags.yaml`, where `flags.yaml` contains:
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```
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--training-phrases:
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- type: TEMPLATE
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parts:
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- text: I love the color
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- text: red
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entityType: <entity_type_id>
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alias: color
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```
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For more information on training phrases, see:
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https://cloud.google.com/dialogflow-enterprise/docs/reference/rest/Shared.Types/Intent#TrainingPhrase
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For more information on `--flags-file`, see `gcloud topics flags-file`.
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responses:
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arg_name: responses
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api_field: googleCloudDialogflowV2Intent.messages
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type: googlecloudsdk.command_lib.dialogflow.intents.hooks:ResponseToMessage
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help_text: |
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Comma separated list of simple text responses to send to the user.
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ml_enabled:
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arg_name: ml-enabled
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api_field: googleCloudDialogflowV2Intent.mlDisabled
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type: bool
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default: true
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action: store_true
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help_text: |
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If true, enable machine learning for the intent.
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