Agent orchestration options: queues, graphs, supervisors, and runbooks
A practical map of orchestration patterns for production agent teams, from simple queues to graph runtimes and supervisor agents.
Orchestration is the control plane for autonomous work. It decides what starts, what waits, what retries, what escalates, and what becomes evidence for the next run.
AstraRunner treats this as an execution-platform concern: the run needs durable state, traceable decisions, cost visibility, and enough structure for teams to review what happened after the agent finishes.
Patterns that work
- Use queues for independent work with clear inputs and outputs.
- Use graph runtimes when branches, joins, and typed state matter.
- Use supervisors only when routing requires judgment that policy cannot express.
- Use runbooks for repeatable business workflows with approval gates.
Implementation checklist
- Name every run state explicitly.
- Persist inputs, outputs, and halt reasons.
- Attach budget and approval policy before launch.
- Emit traces for model calls, tool calls, and handoffs.
Watch outs
- Do not hide orchestration inside a single prompt.
- Do not add a supervisor agent when a deterministic router is enough.
- Do not let retries run without attempt budgets.
Related reading
How this fits the Astra stack
AstraRunner owns the operational path for agent work: orchestration, scheduling, approval gates, traces, costs, and role-agent handoffs. AstraMemory owns durable context and retrieval. AstraGenie turns those capabilities into product workflows for teams that want automation without rebuilding the platform layer.