diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py
index 12773995..8b985c13 100644
--- a/tests/unit/test_layer.py
+++ b/tests/unit/test_layer.py
@@ -811,6 +811,36 @@ def test_refresh_routes_not_implemented(self, openai_encoder, routes, index_cls)
         ):
             route_layer._refresh_routes()
 
+    def test_update_threshold(self, openai_encoder, routes, index_cls):
+        index = init_index(index_cls)
+        route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index)
+        route_name = "Route 1"
+        new_threshold = 0.8
+        route_layer.update(name=route_name, threshold=new_threshold)
+        updated_route = route_layer.get(route_name)
+        assert updated_route.score_threshold == new_threshold, f"Expected threshold to be updated to {new_threshold}, but got {updated_route.score_threshold}"
+
+    def test_update_non_existent_route(self, openai_encoder, routes, index_cls):
+        index = init_index(index_cls)
+        route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index)
+        non_existent_route = "Non-existent Route"
+        with pytest.raises(ValueError, match=f"Route '{non_existent_route}' not found. Nothing updated."):
+            route_layer.update(name=non_existent_route, threshold=0.7)
+
+    def test_update_without_parameters(self, openai_encoder, routes, index_cls):
+        index = init_index(index_cls)
+        route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index)
+        with pytest.raises(ValueError, match="At least one of 'threshold' or 'utterances' must be provided."):
+            route_layer.update(name="Route 1")
+
+    def test_update_utterances_not_implemented(self, openai_encoder, routes, index_cls):
+        index = init_index(index_cls)
+        route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index)
+        with pytest.raises(NotImplementedError, match="The update method cannot be used for updating utterances yet."):
+            route_layer.update(name="Route 1", utterances=["New utterance"])
+
+
+
 
 class TestLayerFit:
     def test_eval(self, openai_encoder, routes, test_data):
@@ -948,3 +978,4 @@ def test_semantic_classify_multiple_routes_with_different_aggregation(
             elif agg == "max":
                 assert classification == "Route 3"
                 assert score == [0.1, 1.0]
+