Prefer fuller Ollama analysis text

ltx_director.py

@@ -458,13 +458,24 @@ def _extract_ollama_generated_text(resp_json: dict) -> str:
             message.get("thinking"),
         ])
 
+    cleaned_candidates = []
     for candidate in candidates:
         if isinstance(candidate, str):
             text = candidate.strip()
+            if "<think>" in text:
+                text = text.split("</think>")[-1].strip()
             if text:
-                return text
+                cleaned_candidates.append(text)
+
+    if not cleaned_candidates:
         return ""
 
+    usable = [text for text in cleaned_candidates if _analysis_text_is_usable(text)]
+    if usable:
+        return max(usable, key=len)
+
+    return max(cleaned_candidates, key=len)
+
 
 def _analysis_text_is_usable(text: str) -> bool:
     text = (text or "").strip()