The Supervisor Pattern: Coordinating Specialist Agents

The supervisor pattern places one agent in charge of routing work to specialist sub-agents. Done well, it produces clean separation of concerns and inspectable decisions. Done poorly, it loops forever or routes every task to the same favourite specialist.

Why it matters

Most failures we triage are caused by ambiguous specialist descriptions or missing termination conditions. The LLM cannot pick the right specialist if their roles overlap, and it cannot stop if the supervisor has no concept of "done".

How Bhogar AI approaches it

Bhogar AI ships a supervisor template with three guardrails: typed specialist contracts (each declares inputs, outputs and pre-conditions), a maximum-hop budget, and a mandatory critic step that decides whether the work is complete. This is the same pattern that powers our Deep Agent product.

• Typed specialist registry with auto-generated tool schemas
• Hop limit and timeout budgets enforced before LLM call
• Built-in critic agent that signals completion with a confidence score
• Per-specialist isolation so a misbehaving sub-agent cannot poison shared state
• Tracing UI showing every routing decision with cost and latency

What you get

Customers using the templated supervisor achieve a 92% first-pass success rate on multi-step research and operational tasks, versus 64% for hand-rolled implementations.