Code examples for batch inference

The code examples in this chapter show how to create a batch inference job, view information about it, and stop it. Select a language to see a code example for it:

Python

Create a JSONL file named abc.jsonl that contains at least the minimum number of records (see Quotas for Amazon Bedrock). You can use the following contents as your first line and input:

{
    "recordId": "CALL0000001", 
    "modelInput": {
        "anthropic_version": "bedrock-2023-05-31", 
        "max_tokens": 1024,
        "messages": [ 
            { 
                "role": "user", 
                "content": [
                    {
                        "type": "text", 
                        "text": "Summarize the following call transcript: ..." 
                    } 
                ]
            }
        ]
    }
}

Create an S3 bucket called amzn-s3-demo-bucket-input and upload the file to it. Then create an S3 bucket called amzn-s3-demo-bucket-output to write your output files to. Run the following code snippet to submit a job and get the jobArn from the response:

import boto3

bedrock = boto3.client(service_name="bedrock")

inputDataConfig=({
    "s3InputDataConfig": {
        "s3Uri": "s3://amzn-s3-demo-bucket-input/abc.jsonl"
    }
})

outputDataConfig=({
    "s3OutputDataConfig": {
        "s3Uri": "s3://amzn-s3-demo-bucket-output/"
    }
})

response=bedrock.create_model_invocation_job(
    roleArn="arn:aws:iam::123456789012:role/MyBatchInferenceRole",
    modelId="anthropic.claude-3-haiku-20240307-v1:0",
    jobName="my-batch-job",
    inputDataConfig=inputDataConfig,
    outputDataConfig=outputDataConfig
)

jobArn = response.get('jobArn')

Return the status of the job.

bedrock.get_model_invocation_job(jobIdentifier=jobArn)['status']

List batch inference jobs that Failed.

bedrock.list_model_invocation_jobs(
    maxResults=10,
    statusEquals="Failed",
    sortOrder="Descending"
)

Stop the job that you started.

bedrock.stop_model_invocation_job(jobIdentifier=jobArn)