In 2026, firing synchronous API calls to Claude 3.5 Sonnet for offline workloads like data labeling or document summarization is a fireable offense for your cloud budget. If your processing doesn't require sub-second human interaction, you must route it through Anthropic’s 50%-off Batch API using a robust, self-healing orchestration pipeline.
canceling
, processing
, ended
) instead of leveraging a proven state machine.Combine the declarative chunk-processing of Spring Batch 5.x with the lightweight, non-blocking polling of Java 21+ Virtual Threads to manage the lifecycle of Anthropic's asynchronous batch jobs.
TaskExecutor
configured with Executors.newVirtualThreadPerTaskExecutor()
in your Spring Batch step configuration to handle non-blocking, asynchronous polling of the Claude Batch API endpoint (/v1/messages/batches
).msg_batch_xxxxxxxx
) directly in the Spring Batch metadata database (BATCH_JOB_EXECUTION_PARAMS
) to ensure seamless resume-on-failure capabilities.Thread.sleep()
) that yields the carrier thread, keeping your memory footprint at near-zero during the 24-hour SLA window.Want to go deeper?
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@Bean
public Step pollClaudeBatchStep(JobRepository jobRepository, PlatformTransactionManager txManager) {
return new StepBuilder("pollClaudeBatchStep", jobRepository)
.tasklet((contribution, chunkContext) -> {
String batchId = (String) chunkContext.getStepContext().getJobParameters().get("claudeBatchId");
while (!isBatchComplete(batchId)) {
// Virtual thread yields gracefully here without blocking OS threads
Thread.sleep(Duration.ofMinutes(5));
}
return RepeatStatus.FINISHED;
}, txManager)
.taskExecutor(Executors.newVirtualThreadPerTaskExecutor())
.build();
}
/v1/messages/batches
instantly cuts your API bill in half.