The future is in LLM collaborations, and it is important to be able to understand how good agents are at working together, communicating and negotiating actions. Most multi-agent research is about workflows, where agents pass tasks down a pipeline (Hong et al., 2024; Qian et al., 2024). To test this, I built a multi-agent environment on Pokémon Showdown's 2v2 format to evaluate these abilities.
"Both opps are Water types … so my Fire moves are resisted on both. … I plan to Wisp Dondozo … can you open with Fake Out to flinch one of them this turn?"
"Good call on Wisp-ing Dondozo. Quick correction though - Fighting isn't actually resisted by Water or Ground, so my Close Combat is neutral (1x) on both. … Locking in Fake Out → Whiscash."
