Add multilingual audit CI pipeline + extract mandelblog_content_guard

mandelblog_content_guard/agents/en.py

@@ -0,0 +1,34 @@
+from .base import BaseLanguageAgent
+from ..normalizers import normalize_en_text
+from ..system_strings import build_contextual_system_vocabulary, build_system_vocabulary
+
+
+class EnglishAgent(BaseLanguageAgent):
+    locale = "en"
+    tone = "business-friendly and direct"
+    preferred_formality = "neutral"
+    vocabulary_map = {
+        **build_system_vocabulary("en", ("plan_badge", "services_badge", "transparent_label", "transparent_investment")),
+    }
+    _system_contextual = build_contextual_system_vocabulary("en", ("plan_badge", "services_badge", "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", {})},
+        "title": {**_system_contextual.get("title", {})},
+        "heading": {**_system_contextual.get("heading", {})},
+        "rendered": {**_system_contextual.get("rendered", {})},
+    }
+    cta_defaults = {
+        "starter": "Book starter call",
+        "business": "Book business call",
+        "support": "View support",
+        "service": "View services",
+        "project": "Start your project",
+        "quote": "Request a quote",
+        "contact": "Book intro call",
+    }
+
+    def post_cleanup_text(self, text: str, field_path: str = "") -> str:
+        return normalize_en_text(text, field_path=field_path)