Point the built-in GlmCoding preset at glm-5.2 (was glm-4.7) and add a glm-5.2 route to the ab-v9 matrix via Zhipu's official coding plan (GLM_BASE + GLM_KEY env). Keys stay env-only.
scripts/ab-v9/run_matrix.py runs the ab-v3 corpus (52 prompts) through
the full Rust orchestrator per provider (op-smoke headless,
OPENPENCIL_MANIFEST=1) and scores M3 expected-shape (required roles in
the saved .op tree) + M5 element selection, appending rows per cell for
crash-safe resume. Keys come from env only (MM_KEY/ARK_KEY/DS_KEY).
op-smoke grows OPENPENCIL_SMOKE_KEEP_THINKING=1 to keep MiniMax
reasoning ON: ab-v9 showed M3-nothink emits lazy minimal manifests
(17%, ~10s answers) while M3-with-thinking lands 60% with composite
tied-best at ~110s — the MiniMax production routing target.
