One teammate wants MS-PoE because it is zero-overhead....

In a system where the model is accessed via a hosted API, you lack the necessary access to the model’s internal attention logits or positional encoding layers required for MS-PoE or attention calibration. Therefore, the debate between those two methods is moot. The team must work within the constraints of the API, which means focusing on input-side optimizations such as intelligent reordering of chunks and aggressive truncation to ensure the most relevant information is prioritized by the model’s existing behavior.