Add multilingual audit CI pipeline + extract mandelblog_content_guard

mandelblog_content_guard/agents/it.py

@@ -0,0 +1,42 @@
+from .base import BaseLanguageAgent
+from ..normalizers import normalize_it_text
+from ..system_strings import build_contextual_system_vocabulary, build_system_vocabulary
+
+
+class ItalianAgent(BaseLanguageAgent):
+    locale = "it"
+    tone = "professional and approachable"
+    preferred_formality = "polite"
+    vocabulary_map = {
+        **build_system_vocabulary(
+            "it",
+            (
+                "weeks_1_2",
+                "without_commitment",
+                "transparent_label",
+                "transparent_investment",
+                "customization_integrations",
+                "multilingual_rollout",
+            ),
+        ),
+    }
+    _system_contextual = build_contextual_system_vocabulary("it", ("transparent_label",))
+    contextual_vocabulary_map = {
+        "badge": {**_system_contextual.get("badge", {})},
+        "label": {**_system_contextual.get("label", {})},
+        "metric": {**_system_contextual.get("metric", {})},
+        "stat": {**_system_contextual.get("stat", {})},
+        "rendered": {**_system_contextual.get("rendered", {})},
+    }
+    cta_defaults = {
+        "starter": "Prenota una call iniziale",
+        "business": "Pianifica la call business",
+        "support": "Richiedi supporto",
+        "service": "Mostra i servizi",
+        "project": "Avvia il tuo progetto",
+        "quote": "Richiedi una proposta",
+        "contact": "Pianifica la riunione introduttiva",
+    }
+
+    def post_cleanup_text(self, text: str, field_path: str = "") -> str:
+        return normalize_it_text(text, field_path=field_path)