Multi-Agent Orchestration Without Chaos

Multi-agent setups are easy to overbuild. If every problem gets three agents, a router, and dynamic memory, you will spend more time debugging handoffs than shipping product value.

The pattern that works most often is a constrained triad: Planner, Executor, and Critic.

Roles with strict boundaries

• Planner: decomposes task into numbered steps.
• Executor: performs tool calls and returns evidence.
• Critic: checks evidence against the original goal and policy.

Do not let any role absorb another role's responsibility. Blurred roles create hidden coupling and regressions.

Message contract

Use a typed envelope for every inter-agent message:

• intent
• inputs
• evidence
• status
• next_action

Free-form prose between agents is convenient at first and expensive later.

Failure handling

Define exactly what happens on these events:

• Tool timeout
• Invalid tool payload
• Contradictory user requirements

For each, specify retry policy, fallback behavior, and escalation to human review.

When single-agent is enough

If your agent does one short task with one or two tools, keep a single agent plus a review pass. Multi-agent architecture only pays off when tasks are long-running, stateful, and high-stakes.

Good orchestration is not about agent count. It is about clear control flow and observable decisions.