Integrating Llama 3.1 for Strategic Decisions

Develop a LangGraph agent that leverages Llama 3.1 405B. This agent should receive the current battle space state (threat positions, velocities, priorities; interceptor states, fuel levels) and, based on mission goals, output strategic directives such as target prioritization schemes, engagement zones, or high-level swarm behaviors (e.g., 'defensive formation', 'aggressive pursuit'). Provide example prompts you would use for Llama 3.1 and how its responses would be parsed by LangGraph to inform tactical algorithms.