Fix WARNING:llm:ecologits impact calc failed for model=gpt-5.1: float() argument must be a string or a real number, not 'RangeValue'

llm.py

@@ -31,6 +31,24 @@ except ImportError:
     logger.warning("ecologits not installed — CO2 emission will be reported as None.")
 
 
+def _to_scalar(value) -> Optional[float]:
+    """
+    Normalize an ecologits impact value to a single float.
+
+    ecologits returns either a plain float or a RangeValue(min, max) depending
+    on the model registry entry. For RangeValue we return the midpoint so a
+    single representative number flows through the API/UI.
+    """
+    if value is None:
+        return None
+    if hasattr(value, "min") and hasattr(value, "max"):
+        return (float(value.min) + float(value.max)) / 2.0
+    try:
+        return float(value)
+    except (TypeError, ValueError):
+        return None
+
+
 def call_llm(
     prompt: str,
     *,
@@ -113,9 +131,10 @@ def call_llm(
                 request_latency=latency_s,
             )
             if impacts is not None:
-                energy_kwh = float(impacts.energy.value)
+                energy_kwh = _to_scalar(impacts.energy.value)
                 # ecologits returns gwp in kgCO2eq; convert to grams
-                co2_grams = float(impacts.gwp.value) * 1000.0
+                gwp_kg = _to_scalar(impacts.gwp.value)
+                co2_grams = gwp_kg * 1000.0 if gwp_kg is not None else None
         except Exception as e:
             logger.warning(f"ecologits impact calc failed for model={model}: {e}")