orchestrator

Multi-agent coordination assigns specialized agents to distinct project phases—requirements, design, development, testing—and orchestrates their workflow by defining task dependencies, sequencing execution, and integrating results into a unified deliverable. This approach breaks complex projects into manageable subtasks each agent handles optimally.

Workflow coordination defines task order, establishes dependencies between phases, and applies orchestration logic to execute tasks in sequence. The system tracks which agent outputs feed into downstream tasks, preventing bottlenecks and ensuring downstream agents receive required inputs in the correct state.

Task decomposition analyzes functional requirements and breaks them into discrete, agent-executable subtasks mapped to specialized agent capabilities. Each subtask includes success criteria and required inputs, enabling parallel execution where dependencies allow and sequential execution where required.

Progress management monitors task completion status, agent state, and workflow milestones in real time. The system communicates progress updates to stakeholders, flags blocking issues, and escalates errors so teams stay aligned on project status across all coordinated agents.

Error handling captures task failures, logs diagnostic information, and prevents cascading failures in downstream tasks. The system flags the failure, communicates it to monitoring layers, and can trigger retry logic or manual intervention based on error type and criticality.

Quality assurance validates each agent's output against requirements, applies consistency checks across integrated results, and verifies traceability between requirements and deliverables. The system flags quality gaps before downstream agents consume intermediate outputs.