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[ aws . bedrock ]

list-model-customization-jobs

Description

Returns a list of model customization jobs that you have submitted. You can filter the jobs to return based on one or more criteria.

For more information, see Custom models in the Amazon Bedrock User Guide.

See also: AWS API Documentation

list-model-customization-jobs is a paginated operation. Multiple API calls may be issued in order to retrieve the entire data set of results. You can disable pagination by providing the --no-paginate argument. When using --output text and the --query argument on a paginated response, the --query argument must extract data from the results of the following query expressions: modelCustomizationJobSummaries

Synopsis

  list-model-customization-jobs
[--creation-time-after <value>]
[--creation-time-before <value>]
[--status-equals <value>]
[--name-contains <value>]
[--sort-by <value>]
[--sort-order <value>]
[--cli-input-json <value>]
[--starting-token <value>]
[--page-size <value>]
[--max-items <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

--creation-time-after (timestamp)

Return customization jobs created after the specified time.

--creation-time-before (timestamp)

Return customization jobs created before the specified time.

--status-equals (string)

Return customization jobs with the specified status.

Possible values:

  • InProgress
  • Completed
  • Failed
  • Stopping
  • Stopped

--name-contains (string)

Return customization jobs only if the job name contains these characters.

--sort-by (string)

The field to sort by in the returned list of jobs.

Possible values:

  • CreationTime

--sort-order (string)

The sort order of the results.

Possible values:

  • Ascending
  • Descending

--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.

--starting-token (string)

A token to specify where to start paginating. This is the NextToken from a previously truncated response.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--page-size (integer)

The size of each page to get in the AWS service call. This does not affect the number of items returned in the command's output. Setting a smaller page size results in more calls to the AWS service, retrieving fewer items in each call. This can help prevent the AWS service calls from timing out.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--max-items (integer)

The total number of items to return in the command's output. If the total number of items available is more than the value specified, a NextToken is provided in the command's output. To resume pagination, provide the NextToken value in the starting-token argument of a subsequent command. Do not use the NextToken response element directly outside of the AWS CLI.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--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

nextToken -> (string)

Page continuation token to use in the next request.

modelCustomizationJobSummaries -> (list)

Job summaries.

(structure)

Information about one customization job

jobArn -> (string)

Amazon Resource Name (ARN) of the customization job.

baseModelArn -> (string)

Amazon Resource Name (ARN) of the base model.

jobName -> (string)

Name of the customization job.

status -> (string)

Status of the customization job.

lastModifiedTime -> (timestamp)

Time that the customization job was last modified.

creationTime -> (timestamp)

Creation time of the custom model.

endTime -> (timestamp)

Time that the customization job ended.

customModelArn -> (string)

Amazon Resource Name (ARN) of the custom model.

customModelName -> (string)

Name of the custom model.

customizationType -> (string)

Specifies whether to carry out continued pre-training of a model or whether to fine-tune it. For more information, see Custom models .