kata-agent-orchestrator-design

Designing an agent orchestrator and reasoning loop involves defining explicit states, workflow stages, specialist delegation rules, and runtime parameters to ensure a bounded, reliable workflow rather than ad-hoc thinking.

The best reasoning loop pattern depends on your task structure and constraints. You should choose and justify a pattern among tool-calling-simple, react, plan-and-execute, or reflexion to ensure operational rigor and reliable agent behavior.

To generate an orchestrator.md file, you need to specify the agent persona, scope, declared specialists, states, and a tool/workflow table. This provides a structured blueprint for production handoff and operational execution.

You need a plan-and-execute reasoning loop when your task structure requires multi-step planning before execution. Justifying this pattern over tool-calling-simple, react, or reflexion ensures the agent follows a bounded workflow suitable for complex operations.

Creating loop-state diagrams for agent reasoning workflows requires defining explicit loop states and runtime parameters like iterations, timeouts, and sampling. These diagrams are suitable for production handoff and operational rigor.

Agent orchestration requires declared specialists and HITL constraints to maintain operational rigor. Defining specialist delegation rules and human-in-the-loop requirements ensures the reasoning loop remains bounded and reliable.