Task Decomposition & Planning

Breaking tasks into steps, plan-then-execute, adaptive replanning, and dependency graphs.

Adaptive Replanning

Adaptive replanning enables agents to revise their execution plan on the fly when reality diverges from expectations, balancing persistence with flexibility.

Breaking Complex Tasks into Steps

Agents tackle complex requests by recursively decomposing them into atomic sub-tasks arranged in a dependency-aware hierarchy.

Dependency Graphs for Skill Execution

Modeling task steps as a directed acyclic graph (DAG) enables agents to identify parallelizable work and execute skills in optimal order.

Plan-Then-Execute Pattern

The plan-then-execute pattern separates task planning from task execution into two distinct phases, producing more reliable and transparent agent behavior.