multi-agent-orchestrator

Multi-agent orchestration works by defining participating agents, explicit task graphs, and shared contracts to bound execution. It manages handoffs and dependency resolution with transparent ownership and formal terminal states.

You manage handoffs by applying retry and escalation policies alongside dependency resolution. This guarantees transparent ownership and validates end-to-end pipeline readiness before generating reusable runbooks for deployment.

You need explicit dependency graphs when bounding execution across independent agents. Defining these task graphs and shared contracts ensures dependable completion gates and formal output contracts for reproducible run contexts.

Yes, you can validate end-to-end pipeline readiness before deployment. The orchestration checks task completion gates and clears acceptance criteria to generate reusable runbooks for handoff and deployment.

A limitation of shared contracts is the requirement for strict adherence to formal output contracts and terminal states. If independent agents deviate from the defined task graph, deterministic task sequencing and dependency resolution may fail.