Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines

📰 AWS Machine Learning

Learn three serverless patterns for asynchronously invoking Amazon Bedrock AgentCore agents from AWS Step Functions pipelines, reducing idle compute costs

intermediate Published 19 Aug 2026
Action Steps
  1. Invoke Amazon Bedrock AgentCore agents using the task-token callback pattern to decouple agent processing from pipeline execution
  2. Implement direct service integration to enable synchronous invocation of AgentCore agents from Step Functions
  3. Use durable functions to handle asynchronous agent invocations and manage state across multiple function executions
  4. Configure AWS Step Functions to handle agent invocation failures and retries
  5. Test and optimize serverless pipeline performance using the chosen asynchronous pattern
Who Needs to Know This

This benefits DevOps engineers and developers working with AWS Step Functions and Amazon Bedrock AgentCore agents, as it helps optimize serverless pipeline performance and reduce costs

Key Insight

💡 Asynchronous invocation patterns can help reduce idle compute costs in serverless pipelines by decoupling agent processing from pipeline execution

Share This
🚀 Optimize serverless pipelines with Amazon Bedrock AgentCore agents using async invocation patterns! 📈

Key Takeaways

Learn three serverless patterns for asynchronously invoking Amazon Bedrock AgentCore agents from AWS Step Functions pipelines, reducing idle compute costs

Full Article

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.
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