Planning loops enable agents to solve complex multi-step tasks by breaking them into sub-tasks and executing them in order. Static planning creates the full plan upfront (faster, brittle on surprises). Dynamic planning re-plans after each step (adaptive, more tokens). Reflexion adds a self-critique step: after execution, a critic LLM evaluates the result and generates feedback for re-execution. Hierarchical task decomposition creates a tree of goals and sub-goals.
Self-critique and retry loop improves agent output quality.
Static planning minimises LLM calls and cost. Only move to dynamic planning when tasks have high variability or frequent failures that require mid-course correction.
Adding a self-critique step before returning results significantly improves code quality, analysis accuracy, and completeness. Use a separate evaluator prompt for best results.
Analyse the dependency graph and execute independent tasks in parallel. A 5-task sequential plan taking 25 seconds might take 10 seconds with parallel execution of independent tasks.
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