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/roster.py

@@ -0,0 +1,53 @@
+"""Build teams from config.
+
+Config is a plain dict (loaded from YAML/JSON by the launcher). M1 needs only a
+single same-model 2-member team; the schema is the SPEC §7 shape so M2+ scales
+to multiple, mixed-model teams without changes.
+
+    {
+      "teams": [
+        {"id": "falcon", "topology": "star", "framing": "neutral",
+         "members": [
+           {"name": "archie", "model": "qwen2.5-coder:3b", "role": "architect"},
+           {"name": "bob",    "model": "qwen2.5-coder:3b", "role": "builder"}
+         ]}
+      ]
+    }
+"""
+
+from __future__ import annotations
+
+from .team import Member, Team
+
+
+def build_team(spec: dict) -> Team:
+    framing = spec.get("framing", "neutral")
+    members = [
+        Member(name=m["name"], model=m["model"],
+               role=m.get("role", "peer"),
+               framing=m.get("framing", framing))
+        for m in spec["members"]
+    ]
+    if not members:
+        raise ValueError(f"team {spec.get('id')!r} has no members")
+    return Team(id=spec["id"], members=members,
+                topology=spec.get("topology", "star"), framing=framing)
+
+
+def build_teams(config: dict) -> list[Team]:
+    teams = [build_team(t) for t in config.get("teams", [])]
+    if not teams:
+        raise ValueError("config has no teams")
+    return teams
+
+
+def same_model_team(model: str, *, team_id: str = "solo",
+                    framing: str = "neutral") -> Team:
+    """Convenience for M1: a 2-member architect+builder team on one model."""
+    return build_team({
+        "id": team_id, "topology": "star", "framing": framing,
+        "members": [
+            {"name": "archie", "model": model, "role": "architect"},
+            {"name": "bob", "model": model, "role": "builder"},
+        ],
+    })