Is there a standard architecture for fast decision models + LLM + tool calling?

emersoftware · reddit · 2026-10-17

A Reddit poster asks whether an accepted architecture exists for combining a fast decision model like Jev with an LLM and tool calling — the counterpart to ReAct for agent loops — for game-agent experiments where the world keeps running while the agent thinks. The post catalogs two emerging patterns: confidence cascades (decision model handles bounded choices, LLM fallback on low confidence; REFLEX, JevAgentHarness) and planner + chooser (LLM proposes actions, Jev picks bounded ones; Hermes/Astra + Jev in Minecraft). Open questions include when to replan, who generates candidate actions, and when tool decisions fall back to the LLM. Links to two arXiv papers and two open-source Minecraft agent implementations included.

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