Summary
On its default model (openai:gpt-5-mini), a zarvis session given a straightforward "edit this single HTML file" coding task was very inefficient: 178 transcript events, with repeated find_files loops, vs ~31 events for the equivalent claude task and ~5 for codex. It still completed correctly after approvals, but the cost/latency was disproportionate.
Ask
Consider a stronger default model for zarvis coding tasks (or document guidance / AGENTD_ZARVIS_MODEL recommendations), and/or investigate the find_files looping behavior.
Found during an isolated dogfood run building a browser game.
Summary
On its default model (
openai:gpt-5-mini), a zarvis session given a straightforward "edit this single HTML file" coding task was very inefficient: 178 transcript events, with repeatedfind_filesloops, vs ~31 events for the equivalent claude task and ~5 for codex. It still completed correctly after approvals, but the cost/latency was disproportionate.Ask
Consider a stronger default model for zarvis coding tasks (or document guidance /
AGENTD_ZARVIS_MODELrecommendations), and/or investigate thefind_fileslooping behavior.