Multi-Agent Supervisor Pattern (LangGraph-style).
the path
Read. Master the vocabulary. Fire two hot-takes. Then write the pitch and draw the system. End-state: you speak this like it's native.
The brief
A supervisor LLM routes tasks to specialized worker agents (researcher, coder, critic), aggregates their outputs, and decides when the task is done. Popularized by LangGraph; now a default pattern for agentic workflows where a single model would otherwise lose focus over long horizons.
- 01Latency balloons with every hop; parallelize independent workers where possible.
- 02Supervisor becomes single point of failure — budget step count and add tool-use caps.
- 03Debugging requires full trace capture (e.g. LangSmith / OpenTelemetry spans).
- 04Specialized workers outperform a single generalist only when prompts and tools are truly distinct.
“Think of it as middle management for LLMs: the supervisor assigns work, the workers execute, and the critic enforces quality before anything ships.”
The system
Vocabulary gym
Supervisor
Orchestrator LLM that chooses which worker runs next and when to stop.
flip back ←Hot-takes
Two hot-takes. One sentence each. No hedging, no lists — just the sharpest answer you can land. The coach replies in seconds with a score and a tighter rewrite.
Why not just use one larger model with all the tools?
How do you prevent infinite supervisor loops?
The drill
In 400–600 words, pitch the supervisor pattern to a technical founder considering it for a customer-support agent. Cover: when it beats a single-model approach, the top two failure modes, and how you'd bound cost and latency in production.