AWS CLI Command Reference

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[ aws . chatbot ]

update-account-preferences

Description

Update Chatbot account level preferences

See also: AWS API Documentation

Synopsis

  update-account-preferences
[--user-authorization-required | --no-user-authorization-required]
[--training-data-collection-enabled | --no-training-data-collection-enabled]
[--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>]

Options

--user-authorization-required | --no-user-authorization-required (boolean) Enables use of a user role requirement in your chat configuration.

--training-data-collection-enabled | --no-training-data-collection-enabled (boolean) Turns on training data collection. This helps improve the AWS Chatbot experience by allowing AWS Chatbot to store and use your customer information, such as AWS Chatbot configurations, notifications, user inputs, AWS Chatbot generated responses, and interaction data. This data helps us to continuously improve and develop Artificial Intelligence (AI) technologies. Your data is not shared with any third parties and is protected using sophisticated controls to prevent unauthorized access and misuse. AWS Chatbot does not store or use interactions in chat channels with Amazon Q for training AWS Chatbot’s AI technologies.

--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.

--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.

Output

AccountPreferences -> (structure)

Preferences which apply for AWS Chatbot usage in the calling AWS account.

UserAuthorizationRequired -> (boolean)

Enables use of a user role requirement in your chat configuration.

TrainingDataCollectionEnabled -> (boolean)

Turns on training data collection. This helps improve the AWS Chatbot experience by allowing AWS Chatbot to store and use your customer information, such as AWS Chatbot configurations, notifications, user inputs, AWS Chatbot generated responses, and interaction data. This data helps us to continuously improve and develop Artificial Intelligence (AI) technologies. Your data is not shared with any third parties and is protected using sophisticated controls to prevent unauthorized access and misuse. AWS Chatbot does not store or use interactions in chat channels with Amazon Q for training AWS Chatbot’s AI technologies.