Module 12 Wrap-up: The Orchestration Expert

You have pulled back the curtain on the "Magic" of AI agents. You know that they are actually rigorous Logicians following a ReAct loop. You understand how to read their thoughts and how to make them resilient against the errors of the real world.

Hands-on Exercise: The Trace Hunt

1. The Goal

Investigate why an agent is taking "too many steps."

2. The Task

In the AWS Console, open your agent and use the Test Window.
Enable Trace Details.
Ask a complex question that requires 2 tools.
Expand the Orchestration tab.
Identify:
- Which "Thought" was the most time-consuming?
- Did the agent call a tool it didn't need to?
- How would you change your Instructions to make the plan more efficient?

Module 12 Summary

ReAct: Reason + Act is the core engine of Bedrock Agents.
Thoughts are the model's internal explanation of what to do next.
Observations are the inputs from tools.
Resilience requires setting limits and giving the brain clear feedback on failures.

Coming Up Next...

In Module 13, we level up again to Multi-Agent Patterns. We will learn how to build "Teams" of agents—where one agent acts as the Supervisor and delegates tasks to specialized Executor agents.

Module 12 Checklist

I can describe the 4 steps of a ReAct loop.
I have viewed a "Trace" in the Bedrock console.
I understand how tool errors feed back into the reasoning brain.
I have set a "Max Steps" limit on an agent.
I can distinguish between an "Observation" and a "Final Response."

Module 12 Wrap-up: The Master Planner