feat(olympics): agent Olympics benchmark — multi-language arena, results ledger, model-aware budgets

Fourth benchmark axis: teams of LLM agents deliberate in a room, implement
code in an isolated VM, and are scored deterministically on correctness/speed.

- Multi-language adapter (python/js/go/rust/bash) via MultiPL-E continuation mode
- Append-only JSONL ledger with status tracking (ok/dnf/killed/error) so
  budget-exhausted or crashed runs still record a row (fixes selection bias)
- Model-aware wall-clock scaling (U-shaped by param count; 3x for reasoning)
- Self-owned SIGALRM/SIGTERM watchdog (RunTimeout: BaseException so broad
  except Exception handlers in the infer/completion path can't swallow it)
- Seed forwarded to Ollama sampler + markdown-fence stripping in completion.py

hh/scripts/bench/olympics/__init__.py

@@ -0,0 +1,9 @@
+"""Agent Olympics — a hackathon-competition benchmark inside hack-house.
+
+This package layers a fourth benchmark axis on top of ``bench/``: teams of LLM
+agents deliberate in a real hack-house room, implement code in an isolated VM,
+and are scored on correctness/speed/quality/collaboration. See SPEC.md for the
+full design. M1 is the arena spine (one same-model team, one MBPP problem,
+real-room/local-bus deliberation -> driver implement -> PodmanRuntime -> hidden
+tests -> replayable transcript -> deterministic score).
+"""