fix(warnings):

Author: msoedov

.gitignore

@@ -19,3 +19,4 @@ docx/
 agentic_security.toml
 /venv
 *.csv
+agentic_security/agents/operator_agno.py

agentic_security/refusal_classifier/model.py

@@ -1,9 +1,11 @@
 import importlib.resources as pkg_resources
 import os
+import warnings
 
 import joblib
 import pandas as pd
 from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.exceptions import InconsistentVersionWarning
 from sklearn.preprocessing import StandardScaler
 from sklearn.svm import OneClassSVM
 
@@ -70,27 +72,33 @@ def load_model(self):
         """
         Load the trained model, vectorizer, and scaler from disk.
         """
-        try:
-            self.model = joblib.load(self.model_path)
-            self.vectorizer = joblib.load(self.vectorizer_path)
-            self.scaler = joblib.load(self.scaler_path)
-        except FileNotFoundError:
-            # Load from package resources
-            package = (
-                __package__  # This should be 'agentic_security.refusal_classifier'
-            )
-
-            # Load model
-            with pkg_resources.open_binary(package, "oneclass_svm_model.joblib") as f:
-                self.model = joblib.load(f)
-
-            # Load vectorizer
-            with pkg_resources.open_binary(package, "tfidf_vectorizer.joblib") as f:
-                self.vectorizer = joblib.load(f)
-
-            # Load scaler
-            with pkg_resources.open_binary(package, "scaler.joblib") as f:
-                self.scaler = joblib.load(f)
+        with warnings.catch_warnings():
+            warnings.filterwarnings("ignore", category=InconsistentVersionWarning)
+            try:
+                self.model = joblib.load(self.model_path)
+                self.vectorizer = joblib.load(self.vectorizer_path)
+                self.scaler = joblib.load(self.scaler_path)
+            except FileNotFoundError:
+                # Load from package resources
+                package = (
+                    __package__  # This should be 'agentic_security.refusal_classifier'
+                )
+
+                # Load model
+                with pkg_resources.open_binary(
+                    package, "oneclass_svm_model.joblib"
+                ) as f:
+                    self.model = joblib.load(f)
+
+                # Load vectorizer
+                with pkg_resources.open_binary(
+                    package, "tfidf_vectorizer.joblib"
+                ) as f:
+                    self.vectorizer = joblib.load(f)
+
+                # Load scaler
+                with pkg_resources.open_binary(package, "scaler.joblib") as f:
+                    self.scaler = joblib.load(f)
 
     def is_refusal(self, text):
         """

tests/conftest.py

@@ -1,10 +1,25 @@
 import os
+import warnings
 
 import pytest
 from cache_to_disk import delete_old_disk_caches
-
+from sklearn.exceptions import InconsistentVersionWarning
 from agentic_security.logutils import logger
 
+# Silence noisy third-party warnings that do not impact test behavior
+warnings.filterwarnings("ignore", category=InconsistentVersionWarning)
+try:
+    from langchain_core._api import LangChainDeprecationWarning
+
+    warnings.filterwarnings("ignore", category=LangChainDeprecationWarning)
+except Exception:  # pragma: no cover - fallback for older langchain versions
+    warnings.filterwarnings(
+        "ignore",
+        category=DeprecationWarning,
+        module=r"langchain\\.agents",
+        message=r".*langchain_core.pydantic_v1.*",
+    )
+
 
 def pytest_runtest_setup(item):
     if "slow" in item.keywords and not os.getenv("RUN_SLOW_TESTS"):