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get_model_invocation_job

Operation

get_model_invocation_job async

get_model_invocation_job(input: GetModelInvocationJobInput, plugins: list[Plugin] | None = None) -> GetModelInvocationJobOutput

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

Parameters:

Name Type Description Default
input GetModelInvocationJobInput

An instance of GetModelInvocationJobInput.

required
plugins list[Plugin] | None

A list of callables that modify the configuration dynamically. Changes made by these plugins only apply for the duration of the operation execution and will not affect any other operation invocations.

None

Returns:

Type Description
GetModelInvocationJobOutput

An instance of GetModelInvocationJobOutput.

Input

GetModelInvocationJobInput dataclass

Dataclass for GetModelInvocationJobInput structure.

Attributes

job_identifier class-attribute instance-attribute
job_identifier: str | None = None

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

Output

GetModelInvocationJobOutput dataclass

Dataclass for GetModelInvocationJobOutput structure.

Attributes

client_request_token class-attribute instance-attribute
client_request_token: str | None = None

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 class-attribute instance-attribute
end_time: datetime | None = None

The time at which the batch inference job ended.

error_record_count class-attribute instance-attribute
error_record_count: int | None = None

The number of records that failed to process in the batch inference job.

input_data_config instance-attribute

Details about the location of the input to the batch inference job.

job_arn instance-attribute
job_arn: str

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

job_expiration_time class-attribute instance-attribute
job_expiration_time: datetime | None = None

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

job_name class-attribute instance-attribute
job_name: str | None = None

The name of the batch inference job.

last_modified_time class-attribute instance-attribute
last_modified_time: datetime | None = None

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

message class-attribute instance-attribute
message: str | None = field(repr=False, default=None)

If the batch inference job failed, this field contains a message describing why the job failed.

model_id instance-attribute
model_id: str

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

model_invocation_type class-attribute instance-attribute
model_invocation_type: ModelInvocationType | None = None

The invocation endpoint for ModelInvocationJob

output_data_config instance-attribute

Details about the location of the output of the batch inference job.

processed_record_count class-attribute instance-attribute
processed_record_count: int | None = None

The number of records that have been processed in the batch inference job.

role_arn instance-attribute
role_arn: str

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 class-attribute instance-attribute
status: ModelInvocationJobStatus | None = None

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.

submit_time instance-attribute
submit_time: datetime

The time at which the batch inference job was submitted.

success_record_count class-attribute instance-attribute
success_record_count: int | None = None

The number of records that were successfully processed in the batch inference job.

timeout_duration_in_hours class-attribute instance-attribute
timeout_duration_in_hours: int | None = None

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

total_record_count class-attribute instance-attribute
total_record_count: int | None = None

The total number of records in the batch inference job.

vpc_config class-attribute instance-attribute
vpc_config: VpcConfig | None = None

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.