agent-orchestration

Orchestration delegates specific tasks to specialized subagents while the orchestrator maintains overall coordination. Define clear responsibilities for each subagent, manage shared context through session boundaries, and track progress across parallel execution to solve multi-agent workflow challenges.

Context management uses session-based invocation to isolate state and prevent leakage between subagent interactions. Establish shared state strategies at the orchestrator level, clearly mark context boundaries, and ensure each subagent operates within its delegated scope to maintain system coherence.

Error handling detects failure loops, implements recovery strategies at delegation points, and escalates issues when subagents cannot resolve them autonomously. Monitor phase transitions, validate subagent outputs, and maintain fallback logic to ensure robust multi-agent execution.

Parallel execution is a core orchestration pattern that assigns independent tasks to subagents simultaneously while the orchestrator synchronizes results. Use task planning and progress tracking to coordinate parallel branches, ensuring quality assurance across concurrent subagent work.

Orchestration applies when systems need task planning, delegation at scale, progress tracking, and quality assurance across specialized roles. Direct communication lacks centralized coordination; orchestration enforces clear separation of concerns, context isolation, and autonomous decision-making guidelines needed for large-scale projects.

Preparation requires defining distinct subagent responsibilities, designing session boundaries for context isolation, and establishing error detection and escalation thresholds. Map your workflow phases, identify coordination points, and decide on shared state strategies before delegating tasks to subagents.