Review Orchestration

Orchestration is the coordination of models, agents, tools, data, state, and control flow so that they operate as one larger workflow.

The orchestration layer decides what happens next, which component receives which information, how results are checked, and when the system stops or asks for help.

Many failures attributed to a model actually arise from routing, permissions, stale state, tool errors, or missing checks in the surrounding orchestration.

An orchestrator sends a request to a retrieval service, passes selected documents to a model, validates the response format, and routes exceptions to a person.

Orchestration is not merely running several tools in sequence. It includes state, branching, error handling, permissions, and ownership of transitions.

Orchestration conducts the parts and controls the handoffs.

* [[workflow|Workflow]] * [[multi-agent-system|Multi-Agent System]] * [[handoff|Handoff]] * [[state-transition-protocol|State Transition Protocol]] * [[human-ownership|Human Ownership]]

* [Kubernetes Documentation, *Overview*](https://kubernetes.io/docs/concepts/overview/) — authoritative systems documentation distinguishing orchestration workflows from ongoing state reconciliation. * [NIST, *Accelerating the Adoption of Software and AI Agent Identity and Authorization*](https://csrc.nist.gov/pubs/other/2026/02/05/accelerating-the-adoption-of-software-and-ai-agent/ipd) — current official context for coordinating AI agents, tools, identities, permissions, and actions.

* Map orchestration as a [[workflow|Workflow]] with explicit [[handoff|Handoffs]].