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[ aws . lexv2-models ]

generate-bot-element

Description

Generates sample utterances for an intent.

See also: AWS API Documentation

Synopsis

  generate-bot-element
--intent-id <value>
--bot-id <value>
--bot-version <value>
--locale-id <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--v2-debug]

Options

--intent-id (string)

The intent unique Id for the bot request to generate utterances.

--bot-id (string)

The bot unique Id for the bot request to generate utterances.

--bot-version (string)

The bot version for the bot request to generate utterances.

--locale-id (string)

The unique locale Id for the bot request to generate utterances.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

  • json
  • text
  • table

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--v2-debug (boolean)

Enable AWS CLI v2 migration assistance. Prints warnings if the command would face a breaking change after swapping AWS CLI v1 for AWS CLI v2 in the current environment. Prints one warning for each breaking change detected.

Output

botId -> (string)

The unique bot Id for the bot which received the response.

botVersion -> (string)

The unique bot version for the bot which received the response.

localeId -> (string)

The unique locale Id for the bot which received the response.

intentId -> (string)

The unique intent Id for the bot which received the response.

sampleUtterances -> (list)

The sample utterances for the bot which received the response.

(structure)

A sample utterance that invokes an intent or respond to a slot elicitation prompt.

utterance -> (string)

The sample utterance that Amazon Lex uses to build its machine-learning model to recognize intents.