Bedrock / Client / get_model_invocation_job

get_model_invocation_job#

Bedrock.Client.get_model_invocation_job(**kwargs)#

Gets details about a batch inference job. For more information, see Monitor batch inference jobs

Request Syntax

response = client.get_model_invocation_job(
    jobIdentifier='string'
)

Parameters:

jobIdentifier (string) –

[REQUIRED]

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

Return type:

dict

Returns:

Response Syntax

{
    'jobArn': 'string',
    'jobName': 'string',
    'modelId': 'string',
    'clientRequestToken': 'string',
    'roleArn': 'string',
    'status': 'Submitted'|'InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped'|'PartiallyCompleted'|'Expired'|'Validating'|'Scheduled',
    'message': 'string',
    'submitTime': datetime(2015, 1, 1),
    'lastModifiedTime': datetime(2015, 1, 1),
    'endTime': datetime(2015, 1, 1),
    'inputDataConfig': {
        's3InputDataConfig': {
            's3InputFormat': 'JSONL',
            's3Uri': 'string',
            's3BucketOwner': 'string'
        }
    },
    'outputDataConfig': {
        's3OutputDataConfig': {
            's3Uri': 'string',
            's3EncryptionKeyId': 'string',
            's3BucketOwner': 'string'
        }
    },
    'vpcConfig': {
        'subnetIds': [
            'string',
        ],
        'securityGroupIds': [
            'string',
        ]
    },
    'timeoutDurationInHours': 123,
    'jobExpirationTime': datetime(2015, 1, 1)
}

Response Structure

(dict) –
- jobArn (string) –
  
  The Amazon Resource Name (ARN) of the batch inference job.
- jobName (string) –
  
  The name of the batch inference job.
- modelId (string) –
  
  The unique identifier of the foundation model used for model inference.
- clientRequestToken (string) –
  
  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.
- roleArn (string) –
  
  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 (string) –
  
  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 Services Support Center.
  - Stopped – This job was stopped by a user.
  - Stopping – This job is being stopped by a user.
- message (string) –
  
  If the batch inference job failed, this field contains a message describing why the job failed.
- submitTime (datetime) –
  
  The time at which the batch inference job was submitted.
- lastModifiedTime (datetime) –
  
  The time at which the batch inference job was last modified.
- endTime (datetime) –
  
  The time at which the batch inference job ended.
- inputDataConfig (dict) –
  
  Details about the location of the input to the batch inference job.
  Note
  This is a Tagged Union structure. Only one of the following top level keys will be set: s3InputDataConfig. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:
  'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}
  - s3InputDataConfig (dict) –
    
    Contains the configuration of the S3 location of the input data.
    - s3InputFormat (string) –
      
      The format of the input data.
    - s3Uri (string) –
      
      The S3 location of the input data.
    - s3BucketOwner (string) –
      
      The ID of the Amazon Web Services account that owns the S3 bucket containing the input data.
- outputDataConfig (dict) –
  
  Details about the location of the output of the batch inference job.
  Note
  This is a Tagged Union structure. Only one of the following top level keys will be set: s3OutputDataConfig. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:
  'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}
  - s3OutputDataConfig (dict) –
    
    Contains the configuration of the S3 location of the output data.
    - s3Uri (string) –
      
      The S3 location of the output data.
    - s3EncryptionKeyId (string) –
      
      The unique identifier of the key that encrypts the S3 location of the output data.
    - s3BucketOwner (string) –
      
      The ID of the Amazon Web Services account that owns the S3 bucket containing the output data.
- vpcConfig (dict) –
  
  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.
  - subnetIds (list) –
    
    An array of IDs for each subnet in the VPC to use.
    - (string) –
  - securityGroupIds (list) –
    
    An array of IDs for each security group in the VPC to use.
    - (string) –
- timeoutDurationInHours (integer) –
  
  The number of hours after which batch inference job was set to time out.
- jobExpirationTime (datetime) –
  
  The time at which the batch inference job times or timed out.