The system prompt for the drone is hilarious to me. These models are horrible at spatial reasoning tasks:

https://github.com/kxzk/snapbench/blob/main/llm_drone/src/ma...

I've been working with integrating GPT-5.2 in Unity. It's fantastic at scripting but completely worthless at managing transforms for scene objects. Even with elaborate planning phases it's going to make a complete jackass of itself in world space every time.

LLMs are also wildly unsuitable for real-time control problems. They never will be. A PID controller or dedicated pathfinding tool being driven by the LLM will provide a radically superior result.

Agreed. I’ve found the only reliable architecture for this is treating the LLM purely as a high-level planner rather than a controller.

We use a state machine (LangGraph) to manage the intent and decision tree, but delegate the actual transform math to deterministic code. You really want the model deciding the strategy and a standard solver handling the vectors, otherwise you're just burning tokens to crash into walls.