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") ...














