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AWS::Bedrock::ModelInvocationJob - AWS CloudFormation
SyntaxReturn values

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AWS::Bedrock::ModelInvocationJob

Creates a batch inference job to invoke a model on multiple prompts. Format your data according to Format your inference data and upload it to an Amazon S3 bucket. For more information, see Process multiple prompts with batch inference.

The response returns a jobArn that you can use to stop or get details about the job.

Syntax

To declare this entity in your CloudFormation template, use the following syntax:

JSON

{
  "Type" : "AWS::Bedrock::ModelInvocationJob"
}

YAML

Type: AWS::Bedrock::ModelInvocationJob

Return values

Ref

Fn::GetAtt

JobArn

The Amazon Resource Name (ARN) of the batch inference job.

JobExpirationTime

The time at which the batch inference job times or timed out.

JobName

The name of the batch inference job.

LastModifiedTime

The time at which the batch inference job was last modified.

ModelId

The unique identifier of the foundation model used for model inference.

RoleArn

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

Status

The status of the batch inference job.

The following statuses are possible:

  • Submitted – This job has been submitted to a queue for validation.

  • Validating – This job is being validated for the requirements described in Format and upload your batch inference data. The criteria include the following:

    • Your IAM service role has access to the Amazon S3 buckets containing your files.

    • Your files are .jsonl files and each individual record is a JSON object in the correct format. Note that validation doesn't check if the modelInput value matches the request body for the model.

    • Your files fulfill the requirements for file size and number of records. For more information, see Quotas for Amazon Bedrock.

  • Scheduled – This job has been validated and is now in a queue. The job will automatically start when it reaches its turn.

  • Expired – This job timed out because it was scheduled but didn't begin before the set timeout duration. Submit a new job request.

  • InProgress – This job has begun. You can start viewing the results in the output S3 location.

  • Completed – This job has successfully completed. View the output files in the output S3 location.

  • PartiallyCompleted – This job has partially completed. Not all of your records could be processed in time. View the output files in the output S3 location.

  • Failed – This job has failed. Check the failure message for any further details. For further assistance, reach out to the Support Center.

  • Stopped – This job was stopped by a user.

  • Stopping – This job is being stopped by a user.

SubmitTime

The time at which the batch inference job was submitted.

Tags

Property description not available.

TimeoutDurationInHours

The number of hours after which the batch inference job was set to time out.