Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines | Amazon Web Services
Asynchronous invocation patterns for Amazon Bedrock AgentCore agents in serverless pipelines remove idle compute costs while your AI agent processes requests. A common example is document validation: in a real-estate financing back office, an agent can read a property record or loan contract, reason about whether the information is complete and consistent, and return a verdict that downstream steps act on. Amazon Bedrock AgentCore provides a platform to build, connect, and optimize agents at scale, with any framework or model.
These agents introduce a characteristic that traditional pipeline steps do not have: they think for a while before they answer. How long depends on the prompt, the model, and the document, but it’s rarely instant, and that latency changes how you should call it. The most common first implementation is a compute service, such as an AWS Lambdafunction, that invokes the agent and waits for the response. While that...
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