Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines
Three serverless patterns for scaling AI agents without idle compute costs — practical engineering for production deployments.
Why it matters
Agent infrastructure engineering: AWS Bedrock AgentCore now supports asynchronous invocation patterns that let practitioners deploy agents at scale without paying for idle time waiting on long-running tasks. This is a deployment-enablement feature for teams operationalizing agents in production.
The key facts
9 to knowAWS Bedrock AgentCore agents support asynchronous invocation via Step Functions
Three patterns covered: task-token callback, direct service integration, durable functions
Eliminates idle compute costs during agent processing
Serverless pipeline integration (AWS Step Functions)
Three patterns: task-token callback, direct service integration, durable functions
Focus: eliminating idle compute costs during agent processing
Platform: Amazon Bedrock AgentCore + AWS Step Functions
Use case: asynchronous agent invocation in serverless pipelines
Audience: practitioners building agentic systems on AWS
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, you learn three serverless patterns (task-token callback, direct service integration, and durable functions) for invoking Amazon Bedrock AgentCore agents asynchronously from AWS Step Functions pipelines, eliminating idle compute costs while your AI agent processes requests.