aws_bedrock_model_invocation_job

account_id

Type: STRING

client_request_token

Type: STRING
Provider name: clientRequestToken
Description: A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

end_time

Type: TIMESTAMP
Provider name: endTime
Description: The time at which the batch inference job ended.

input_data_config

Type: STRUCT
Provider name: inputDataConfig
Description: Details about the location of the input to the batch inference job.

• s3_input_data_config
  Type: STRUCT
  Provider name: s3InputDataConfig
  Description: Contains the configuration of the S3 location of the input data.
  
  • s3_bucket_owner
    Type: STRING
    Provider name: s3BucketOwner
    Description: The ID of the Amazon Web Services account that owns the S3 bucket containing the input data.
    
  • s3_input_format
    Type: STRING
    Provider name: s3InputFormat
    Description: The format of the input data.
    
  • s3_uri
    Type: STRING
    Provider name: s3Uri
    Description: The S3 location of the input data.
    

job_arn

Type: STRING
Provider name: jobArn
Description: The Amazon Resource Name (ARN) of the batch inference job.

job_expiration_time

Type: TIMESTAMP
Provider name: jobExpirationTime
Description: The time at which the batch inference job times or timed out.

job_name

Type: STRING
Provider name: jobName
Description: The name of the batch inference job.

last_modified_time

Type: TIMESTAMP
Provider name: lastModifiedTime
Description: The time at which the batch inference job was last modified.

message

Type: STRING
Provider name: message
Description: If the batch inference job failed, this field contains a message describing why the job failed.

model_id

Type: STRING
Provider name: modelId
Description: The unique identifier of the foundation model used for model inference.

output_data_config

Type: STRUCT
Provider name: outputDataConfig
Description: Details about the location of the output of the batch inference job.

• s3_output_data_config
  Type: STRUCT
  Provider name: s3OutputDataConfig
  Description: Contains the configuration of the S3 location of the output data.
  
  • s3_bucket_owner
    Type: STRING
    Provider name: s3BucketOwner
    Description: The ID of the Amazon Web Services account that owns the S3 bucket containing the output data.
    
  • s3_encryption_key_id
    Type: STRING
    Provider name: s3EncryptionKeyId
    Description: The unique identifier of the key that encrypts the S3 location of the output data.
    
  • s3_uri
    Type: STRING
    Provider name: s3Uri
    Description: The S3 location of the output data.
    

role_arn

Type: STRING
Provider name: roleArn
Description: 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

Type: STRING
Provider name: status
Description: 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 Amazon Web ServicesSupport Center.
• Stopped – This job was stopped by a user.
• Stopping – This job is being stopped by a user.

submit_time

Type: TIMESTAMP
Provider name: submitTime
Description: The time at which the batch inference job was submitted.

tags

Type: UNORDERED_LIST_STRING

timeout_duration_in_hours

Type: INT32
Provider name: timeoutDurationInHours
Description: The number of hours after which batch inference job was set to time out.

vpc_config

Type: STRUCT
Provider name: vpcConfig
Description: The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

• security_group_ids
  Type: UNORDERED_LIST_STRING
  Provider name: securityGroupIds
  Description: An array of IDs for each security group in the VPC to use.
  
• subnet_ids
  Type: UNORDERED_LIST_STRING
  Provider name: subnetIds
  Description: An array of IDs for each subnet in the VPC to use.