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Linked challenge: Build a Model-First Reasoning Agent for Multi-Tier Supply Chain Optimization using LangGraph & Llama 3.3
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Linked challenge
Build a Model-First Reasoning Agent for Multi-Tier Supply Chain Optimization using LangGraph & Llama 3.3
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Based on the concept of 'Model-First Reasoning', design the architecture for your supply chain optimization agent. Define the explicit internal model(s) the agent will construct (e.g., current inventory state graph, demand prediction model, cost function representation). Outline the LangGraph states and edges required to implement the iterative reasoning and decision-making process for a multi-tier supply chain. Specify how Llama 3.3 will be prompted to interact with and update this internal model.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.
Tune next
Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.
Verify after
Check whether the prompt asks for the right evidence, confidence signal, and escalation path.