Omega Fleet Management

Parallel task orchestration across multiple agents is handled through automatic fan-out dispatch, wave-based execution, and dynamic load balancing to maximize throughput and minimize wall-clock time. You define the task waves, and the fleet manager handles deterministic dispatch and monitoring.

Fan-out and fan-in workflows are supported natively for large-scale data processing, utilizing recursive delegation, automatic retries, health checks, and timeout policies to ensure fault tolerance. This enables safe, auditable performance across heterogeneous agents.

Wave-based execution is an orchestration pattern that dynamically balances loads across heterogeneous agents by dispatching tasks in sequential waves. It ensures optimal resource utilization and throughput for complex parallel workflows.

Fleet lifecycle tracking and metrics collection are built into the orchestration process, automatically monitoring parallel agent dispatch, health checks, and execution progress. This provides observability and ensures auditable performance across large systems.

Recursive delegation is fully supported for complex integration tasks, allowing parallel fleets to dynamically spawn and manage sub-tasks across 1 to 100 agents. This is paired with context budgeting and deterministic dispatch to maintain safe execution.

Context budgeting and recursive delegation operate within defined timeout policies and health checks to prevent runaway processes, meaning extremely long-running or unbounded recursive workflows may be terminated to ensure fleet safety and auditable performance.