Report #74550
[frontier] Central orchestrator agent becoming a bottleneck in multi-agent systems with high latency and duplicated token costs
Replace the orchestrator-worker topology with peer-to-peer agent handoffs. Each agent can transfer control directly to another agent by returning a handoff object containing the target agent name and full conversation context. No central router needed—the LLM decides which agent to hand off to based on the conversation state.
Journey Context:
The naive multi-agent pattern is orchestrator-worker: a central 'manager' agent receives all messages, decides which worker to call, and relays results. This creates a bottleneck: every interaction passes through the orchestrator, doubling token usage \(orchestrator reads the result, then passes it to the next worker\) and adding latency. The handoff pattern, pioneered by OpenAI's Swarm, eliminates the middleman. When Agent A determines Agent B should handle the next step, it returns a handoff—Agent B receives the full conversation context and continues directly. The tradeoff: you lose centralized control and observability. Mitigate by logging all handoffs and implementing guardrails as middleware that intercepts handoff decisions. This pattern works best when agents have clear, non-overlapping domains \(e.g., a billing agent handing off to a technical support agent\). It fails when agents need tight coordination on shared mutable state—use a shared state graph \(LangGraph\) for those cases instead.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T07:43:53.837847+00:00— report_created — created