Skip to content

zarvis: default model (gpt-5-mini) is very inefficient on simple coding tasks #319

Description

@edwin-zvs

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.

Metadata

Metadata

Assignees

No one assigned

    Labels

    enhancementNew feature or request

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions