Amazon Bedrock does not natively support asynchronous requests or batch processing in its core API design. However, you can implement both patterns using additional AWS services and architectural strategies. Here's how:
1. Asynchronous Request Handling Bedrock’s default API interactions are synchronous, meaning you send a request and wait for an immediate response. To achieve asynchronous behavior, use AWS services like Step Functions or Lambda to decouple request submission from result processing. For example:
- Use an API Gateway to receive requests, trigger a Lambda function to submit tasks to Bedrock, and store the job ID in DynamoDB.
- Set up a Step Functions workflow to poll for completion or use Amazon EventBridge to trigger a Lambda function when results are ready.
- Combine SQS (Simple Queue Service) to queue requests and process them in the background, preventing blocking in your main application.
2. Batch Processing Implementation While Bedrock doesn’t offer a dedicated batch API, you can process multiple inputs efficiently:
- For models with large context windows (e.g., Anthropic Claude), send multiple items in a single prompt, parsing results programmatically.
- Use parallel Lambda invocations (within Bedrock’s service quotas) to process multiple requests concurrently. Control concurrency with tools like AWS Batch or Step Functions to avoid throttling.
- For large datasets, split inputs into chunks, process them through Bedrock sequentially or in parallel, and aggregate results in S3 or DynamoDB.
3. Key Considerations
- Monitor Bedrock’s service quotas (transactions per second, tokens per minute) to avoid throttling.
- Implement retries with exponential backoff for reliability.
- Use Bedrock’s streaming responses for real-time use cases, though this remains synchronous.
- Costs scale linearly with usage, so optimize batch sizes and concurrency based on your budget and performance needs.
While Bedrock doesn’t provide built-in async/batch features, AWS’s ecosystem offers robust tools to layer these patterns on top of its synchronous API.