cull

Use when working on cull, the curation engine for AI image datasets. Provides architecture invariants, the right module to touch for each kind of change, run/test commands, and guardrails (path traversal, atomic .processing rename, structured-output schema enforcement).

Use when adding, modifying, or debugging LM Studio vision workers in cull. Covers the OpenAI-compatible chat-completions call, structured-output schema requirement, model autodetect, keepalive vs idle-unload, and the unloader helper. Pairs with cull-helper for the broader architecture.

Use when modifying cull's classification JSON schema, adding/removing fields the vision worker emits, changing scoring keys, or working on the .vision.json audit record. Authoritative pointer to vision_prompt.build_response_format() — the single source of truth.