fix(ollama): silence JSON fallback warnings in normal runs

Author: hidai25

evalview/core/llm_provider.py

@@ -658,7 +658,7 @@ def _extract_json_from_text(self, text: str) -> Dict[str, Any]:
 
         # Strategy 4: Return a default evaluation if we can't parse
         # Look for keywords to make a best-effort score
-        logger.warning(f"Could not parse JSON from Ollama response: {text[:200]}...")
+        logger.debug("Could not parse JSON from Ollama response; using best-effort fallback")
 
         # Try to extract a score from the text if mentioned
         score_match = re.search(r"(\d{1,3})(?:/100|%| out of 100| points)", text.lower())

tests/test_llm_provider.py

@@ -0,0 +1,21 @@
+from __future__ import annotations
+
+import logging
+
+
+def test_extract_json_from_text_uses_fallback_without_warning(caplog):
+    from evalview.core.llm_provider import LLMClient, LLMProvider
+
+    client = LLMClient(provider=LLMProvider.OLLAMA, api_key="ollama", model="llama3.2")
+
+    malformed = """{
+  "score": 80,
+  "rationale": This is not valid JSON because the string is not quoted properly
+}"""
+
+    with caplog.at_level(logging.WARNING):
+        payload = client._extract_json_from_text(malformed)
+
+    assert payload["score"] == 70
+    assert "Auto-extracted from non-JSON response" in payload["reasoning"]
+    assert "Could not parse JSON from Ollama response" not in caplog.text