In this folder, we provide an example of creating an agent with custom orchestration.
Amazon Bedrock Agents streamlines the development of generative AI applications by offering a fully managed solution that uses foundation models (FMs) and augmenting tools to autonomously run tasks and achieve objectives through orchestrated, multistep workflows. Using the default orchestration strategy, reasoning and action (ReAct), users can quickly build and deploy agentic solutions. ReAct is a general problem-solving approach that uses the FM’s planning capabilities to dynamically adjust actions at each step. Although ReAct offers flexibility by allowing agents to continually reevaluate their decisions based on shifting requirements, its iterative approach can lead to higher latency when many tools are involved.
For greater orchestration control, Amazon Bedrock Agents has launched the custom orchestrator feature, which users can use to fine-tune agent behavior and manage tool interactions at each workflow step. This customization allows organizations to tailor agent functionality to their specific operational needs, improving precision, adaptability, and efficiency.
In this folder we provide a reasoning without observation (ReWoo) orchestration example.
For this example we will use the restaurant assistant agent that connects with an Amazon Bedrock Knowledge Base and an Amazon DynamoDB as can be seen in the architecture below:
We will then compare the agent with a default ReAct orchestrator with the agent using custom orchestrator to implement ReWoo.
For more information about the custom orchestrator functionality, check out our blog post