Team Topology Analysis

Analyzing multi-agent system topology involves evaluating agent graph connectivity, coordinator load, and dependency cycles to ensure safe handoffs. This process identifies pipeline, hub-and-spoke, and hybrid patterns to prevent parallel execution bottlenecks and over-coordination.

A dependency cycle in Codex multi-agent systems is a circular wait state between agents that blocks parallel work. You identify it by validating agent graph topology, specifically mapping synchronization points and coordinator responsibilities to detect circular task routing.

To prevent file ownership conflicts during parallel agent execution, assign a single owner to shared resources like API schemas. Other agents must access read-only or route modifications through a coordinator, which topology analysis validates as a quality checkpoint.

Yes, topology analysis can check coordinator load in a hub-and-spoke agent pattern. It evaluates the agent graph to validate that the central coordinator is not overburdened, ensuring efficient parallel work and preventing synchronization bottlenecks.

You need to evaluate agent graph topology when designing a proposed team structure to ensure it supports safe communication. This evaluation is necessary before parallel execution to identify potential conflicts, validate connectivity, and prevent over-coordination.

The limitation of using pipeline patterns for multi-agent parallel execution is the risk of bottlenecks at sequential synchronization points. Topology analysis identifies these constraints by validating agent connectivity and dependency cycles to ensure efficient work distribution.