tinyworld-auto-batching

# Tiny World Auto Batching Auto should not call the model on every placement. Current intended model: - Capture the current home board as sparse 8x8 JSON using `snapshotCells()`. - Ask the model for a ranked batch of candidate tile actions matching `AUTO_SUGGESTIONS_SCHEMA`. - Spend `autoSuggestionQueue` locally for multiple Auto placements. - Refresh after `AUTO_REFRESH_EVERY` Auto placements or when the queue runs out. - Auto still places on the clicked cell. The model suggests tile/action definitions, not coordinates. Implementation guardrails: - Keep provider/model/key state shared with the Generate modal via `AI_LS`. - Use `normalizeAutoAction` before applying model output. - Use `adaptAutoSuggestionToCell(action, x, z)` so same-kind clicks increase local intensity. - If no API key exists, open the Generate modal with the Auto key message. - Do not add a backend or new dependency. Validation: - Stub `generateAutoSuggestions` in browser eval and verify two Auto suggestions only call the stub once. - Verify no network call is needed while spending cached suggestions.