Agent Orchestration
Agent orchestration manages how multiple agents or steps are sequenced, routed, and coordinated within a system.
Prerequisites
What Is Agent Orchestration?
A single agent handles one goal with one loop. Once a system involves multiple agents — or multiple distinct stages that need to run in a specific order, with results passed between them — something has to decide which agent or step runs next, what it receives as input, and how results flow back. That coordination layer is orchestration.
Incoming Task
Entry PointA goal that spans more than one agent or stage.
Orchestrator Routes
Coordination LayerDecides which agent runs next and what it receives.
Specialist Agent A
First SpecialistHandles its own narrow part of the task.
Specialist Agent B
Second SpecialistBuilds on the first agent's output.
Combined Result
Final OutputResults from each agent merged into one answer.
Key Idea
Orchestration is the coordination layer above individual agents — it decides who acts next and how results flow, rather than performing the task itself.
Common Orchestration Patterns
- Sequential pipeline
- Each stage runs in a fixed order, with the previous stage's output becoming the next stage's input — simple and predictable, but rigid.
- Router / dispatcher
- A central step examines the incoming task and routes it to the specialist agent best suited to handle it.
- Manager-worker (hierarchical)
- A manager agent breaks a goal into sub-tasks and delegates each to worker agents, then combines their results — related to multi-agent systems, but focused on the coordination structure itself.
A Real-World Example
A document-processing system might route incoming files to different specialist agents based on type — one agent for invoices, one for contracts, one for support tickets — with an orchestrator deciding which agent handles each incoming document and combining their outputs into a single report. Without orchestration, this routing and combining logic would have to be hardcoded and rigid, unable to adapt as new document types or agents are added.
Common Mistakes
Adding orchestration before it's needed
A single well-scoped agent is simpler to build, debug, and reason about — orchestration adds real complexity that should be justified by an actual multi-agent or multi-stage need.
No visibility into which agent handled what
Without logging the routing decisions and results at each stage, debugging an orchestrated system becomes very difficult.
Not handling a failure in one stage
If one agent or stage fails, the orchestrator needs a defined behavior — retry, fall back, or fail the whole task — rather than leaving the system in an undefined state.
Over-relying on a single orchestrator with no fallback
If the orchestration layer itself makes a bad routing decision, there should be a way to catch and correct it, not just trust it blindly.
Interview Question
What is agent orchestration, and when do you actually need it?
Agent orchestration is the coordination layer that decides which agent or step runs next, what input it receives, and how results flow between stages — it's needed once a system involves multiple agents or multiple ordered stages, rather than a single agent with a single loop. Common patterns are a sequential pipeline, a router that dispatches tasks to specialist agents, and a manager-worker structure where one agent delegates sub-tasks to others. It's worth adding real complexity for genuine multi-agent needs, but a single well-scoped agent is usually simpler to build and debug, so orchestration shouldn't be introduced before it's actually needed.
What an interviewer may ask next
- How is agent orchestration different from a single agent's agent loop?
- What is the difference between a router pattern and a manager-worker pattern?
- What should happen if one stage in an orchestrated pipeline fails?
Explain It in 30 Seconds
Agent orchestration is the coordination layer that decides which agent or step runs next and how results flow between them, needed once a system has multiple agents or multiple ordered stages rather than one agent with one loop. Common patterns include a sequential pipeline, a router that dispatches to specialist agents, and a manager-worker structure. It adds real complexity, so it's worth introducing only once a genuine multi-agent or multi-stage need exists.