feat: add cv benchmark workflow and admin visibility

tools/summarizer/app.py

@@ -63,6 +63,12 @@ def _key(text: str, max_length: int, min_length: int, top_skills: int) -> str:
     return f"{h}:{max_length}:{min_length}:{top_skills}"
 
 
+def _ollama_json(path: str):
+    req = urllib_request.Request(f"{OLLAMA_BASE_URL}{path}", method="GET")
+    with urllib_request.urlopen(req, timeout=5) as response:
+        return json.loads(response.read().decode("utf-8"))
+
+
 def _ollama_status():
     configured = bool(OLLAMA_MODEL)
     if not configured:
@@ -71,27 +77,43 @@ def _ollama_status():
             "ollama_reachable": False,
             "ollama_model": None,
             "ollama_model_available": False,
+            "ollama_version": None,
+            "ollama_installed_models": [],
+            "ollama_loaded_models": [],
+            "ollama_loaded_count": 0,
         }
 
-    req = urllib_request.Request(f"{OLLAMA_BASE_URL}/api/tags", method="GET")
     try:
-        with urllib_request.urlopen(req, timeout=5) as response:
-            body = json.loads(response.read().decode("utf-8"))
+        tags_body = _ollama_json("/api/tags")
+        version_body = _ollama_json("/api/version")
+        try:
+            ps_body = _ollama_json("/api/ps")
+        except Exception:
+            ps_body = {"models": []}
     except Exception:
         return {
             "ollama_configured": True,
             "ollama_reachable": False,
             "ollama_model": OLLAMA_MODEL,
             "ollama_model_available": False,
+            "ollama_version": None,
+            "ollama_installed_models": [],
+            "ollama_loaded_models": [],
+            "ollama_loaded_count": 0,
         }
 
-    models = body.get("models") or []
-    names = {item.get("name") for item in models if isinstance(item, dict)}
+    models = tags_body.get("models") or []
+    names = sorted({item.get("name") for item in models if isinstance(item, dict) and item.get("name")})
+    loaded_models = sorted({item.get("name") for item in (ps_body.get("models") or []) if isinstance(item, dict) and item.get("name")})
     return {
         "ollama_configured": True,
         "ollama_reachable": True,
         "ollama_model": OLLAMA_MODEL,
         "ollama_model_available": OLLAMA_MODEL in names,
+        "ollama_version": version_body.get("version"),
+        "ollama_installed_models": names,
+        "ollama_loaded_models": loaded_models,
+        "ollama_loaded_count": len(loaded_models),
     }