add rule generalization, sized LLM defaults, ops docs, and UI polish

Feedback rules can now be suggested for merging when a human has already
reviewed the same pattern multiple times (never guesses about new values).
LLM defaults sized for constrained VRAM instead of llama3.3/llama3.1.
Adds systemd units, a state backup script, and reverse-proxy auth guidance
for production deployment. Findings view is collapsible and sorts
suggested-review rows to the top for a quicker overview.

tests/test_config.py

@@ -82,6 +82,16 @@ class ConfigTests(unittest.TestCase):
             public = store.update({"field_confidence_threshold": "not-a-number"})
             self.assertEqual(public["field_confidence_threshold"], 70)
 
+    def test_feedback_generalization_min_values_is_numeric_and_clamped(self):
+        with tempfile.TemporaryDirectory() as directory:
+            store = ConfigStore(str(Path(directory) / "config.json"))
+            public = store.update({"feedback_generalization_min_values": "1"})
+            self.assertEqual(public["feedback_generalization_min_values"], 2)
+            public = store.update({"feedback_generalization_min_values": "500"})
+            self.assertEqual(public["feedback_generalization_min_values"], 20)
+            public = store.update({"feedback_generalization_min_values": "5"})
+            self.assertEqual(public["feedback_generalization_min_values"], 5)
+
     def test_empty_stream_update_does_not_clear_existing_streams(self):
         with tempfile.TemporaryDirectory() as directory:
             store = ConfigStore(str(Path(directory) / "config.json"))