Bedrock / Client / list_model_invocation_jobs

list_model_invocation_jobs#

Bedrock.Client.list_model_invocation_jobs(**kwargs)#

Lists all batch inference jobs in the account. For more information, see View details about a batch inference job.

Request Syntax

response = client.list_model_invocation_jobs(
    submitTimeAfter=datetime(2015, 1, 1),
    submitTimeBefore=datetime(2015, 1, 1),
    statusEquals='Submitted'|'InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped'|'PartiallyCompleted'|'Expired'|'Validating'|'Scheduled',
    nameContains='string',
    maxResults=123,
    nextToken='string',
    sortBy='CreationTime',
    sortOrder='Ascending'|'Descending'
)

Parameters:

submitTimeAfter (datetime) – Specify a time to filter for batch inference jobs that were submitted after the time you specify.
submitTimeBefore (datetime) – Specify a time to filter for batch inference jobs that were submitted before the time you specify.
statusEquals (string) – Specify a status to filter for batch inference jobs whose statuses match the string you specify.
nameContains (string) – Specify a string to filter for batch inference jobs whose names contain the string.
maxResults (integer) – The maximum number of results to return. If there are more results than the number that you specify, a nextToken value is returned. Use the nextToken in a request to return the next batch of results.
nextToken (string) – If there were more results than the value you specified in the maxResults field in a previous ListModelInvocationJobs request, the response would have returned a nextToken value. To see the next batch of results, send the nextToken value in another request.
sortBy (string) – An attribute by which to sort the results.
sortOrder (string) – Specifies whether to sort the results by ascending or descending order.

Return type:

dict

Returns:

Response Syntax

{
    'nextToken': 'string',
    'invocationJobSummaries': [
        {
            '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'
                }
            },
            'outputDataConfig': {
                's3OutputDataConfig': {
                    's3Uri': 'string',
                    's3EncryptionKeyId': 'string'
                }
            },
            'timeoutDurationInHours': 123,
            'jobExpirationTime': datetime(2015, 1, 1)
        },
    ]
}

Response Structure

(dict) –
- nextToken (string) –
  
  If there are more results than can fit in the response, a nextToken is returned. Use the nextToken in a request to return the next batch of results.
- invocationJobSummaries (list) –
  
  A list of items, each of which contains a summary about a batch inference job.
  - (dict) –
    
    A summary of a batch inference job.
    - 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.
    - 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.
    - 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.
    - timeoutDurationInHours (integer) –
      
      The number of hours after which the batch inference job was set to time out.
    - jobExpirationTime (datetime) –
      
      The time at which the batch inference job times or timed out.

Exceptions

Bedrock.Client.exceptions.AccessDeniedException
Bedrock.Client.exceptions.ValidationException
Bedrock.Client.exceptions.InternalServerException
Bedrock.Client.exceptions.ThrottlingException