Probe line carries model/endpoint/instances/probe-latency (ANSI-colored on tty); semantic numbers (counts, checkpoint fractions) bold in narration lines

Co-Authored-By: Claude <noreply@anthropic.com>

evalharness/cli.py

@@ -202,6 +202,13 @@ def _print_run_plan(console, args, model_spec):
 def _narration(msg: str) -> str:
     """Icon + path-highlighting for narration lines (visual separation at
     a glance; paths in cyan)."""
+    # semantic numbers get bold: samples counts, checkpoint fractions,
+    # generation counts, few-shot counts (curated, not rich's blanket highlight)
+    import re as _re0
+
+    msg = _re0.sub(r'(?<![\w/])(\d+(?:/\d+)?)(?=[\s]|$)',
+                  r'[bold]\1[/bold]', msg)
+
     icon = ''
     m = msg.lower()
     if m.startswith('loading/'):

evalharness/model/runner.py

@@ -519,6 +519,7 @@ async def _probe_model(adapter, model_spec: str) -> None:
     """
     if getattr(adapter, 'name', '') == 'mock':
         return
+    _probe_model._t0 = time.monotonic()
     members = getattr(adapter, 'adapters', [adapter])
     if model_spec in _PROBED_SPECS:
         return
@@ -549,8 +550,18 @@ async def _probe_model(adapter, model_spec: str) -> None:
             '  and --model matches the served model name. Verify manually:\n'
             f'  {curl}')
     if members and not bad:
-        msg = f'model endpoint ok ({len(members)} instance(s), {members[0].api_base})'
-        print(f'· {msg}', flush=True)   # probe runs before status_callback exists
+        import sys as _sys
+
+        dur = time.monotonic() - _probe_model._t0 if hasattr(_probe_model, '_t0') else 0.0
+        name = getattr(members[0], 'model', '') or '?'
+        url = members[0].api_base
+        txt = (f'· model endpoint ok · model={name} · endpoint={url} · '
+               f'instances={len(members)} · probe={dur:.1f}s')
+        if _sys.stdout.isatty():   # color the machine-relevant facts on terminals
+            txt = (f'· model endpoint ok · model=\x1b[1m{name}\x1b[0m · '
+                   f'endpoint=\x1b[36m{url}\x1b[0m · '
+                   f'instances={len(members)} · probe={dur:.1f}s')
+        print(txt, flush=True)   # probe runs before status_callback exists
     _PROBED_SPECS.add(model_spec)
 
 async def run_eval(