A Coding Implementation to Construct a Hierarchical Planner AI Agent Utilizing Open-Supply LLMs with Instrument Execution and Structured Multi-Agent Reasoning
def executor_agent(step: Dict, context: Dict) -> StepResult: step_id = int(step.get("id", 0)) title = step.get("title", f"Step {step_id}") instrument = step.get("instrument", "llm") ...














![How creators and entrepreneurs are utilizing AI to hurry up & succeed [data]](https://blog.aimactgrow.com/wp-content/uploads/2025/06/Untitled20design-Apr-07-2023-08-24-35-4586-PM-120x86.png)


