team-orchestration

You can orchestrate multi-agent teams by providing a valid team definition and running the execution command, which coordinates agent spawning, lifecycle tracking, and result aggregation. This centralizes hierarchical team management for large codebases and CI pipelines.

Hierarchical team orchestration coordinates teams of agents with dependencies, approval gates, and retries to ensure reliable, auditable executions. It is needed when managing complex multi-agent workflows across large codebases and CI pipelines that require strict lifecycle governance and error handling.

Retries and error management are handled through built-in failure policies, retry/backoff mechanisms, and fallback options within the orchestration layer. These apply automatically during agent lifecycle tracking to maintain safe, scalable executions across complex workflows.

Yes, you can use approval gates to control multi-agent workflow execution via before_execution and after_completion gates. These gates support governance and observability by ensuring approvals are satisfied before proceeding with agent spawning and result aggregation.

Yes, multi-agent team orchestration supports CI pipelines and large codebases by applying resource management, queuing, depth limits, and non-blocking telemetry. This maintains safe, scalable executions while providing full observability across complex hierarchical workflows.

Centralized agent lifecycle management enforces depth limits, resource queuing, and failure policies to maintain safe executions, meaning deeply nested or unmanaged agent spawning is restricted. Resource constraints apply to prevent unbounded scaling across hierarchical teams.