feat(export): Volltranskript als Anhang in DOCX/PDF (meeting/phone-call/interview)

LLM komprimiert das Transkript bisher auf wenige Sätze + 20 Excerpt-Einträge
— der Rest fiel aus dem Dokument. Pipeline reicht Whisper-Segmente jetzt an
build_docx/build_pdf durch; Profile mit `docx.include_full_transcript: true`
hängen das komplette Transkript (9 pt) am Ende an.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

lxc-frontend/app/core/mac_client.py

@@ -146,16 +146,28 @@ class MacClient:
             job_id,
         )
 
-    async def export_docx(self, data: dict, profile: str | None = None, job_id: int | None = None) -> bytes:
+    async def export_docx(
+        self,
+        data: dict,
+        profile: str | None = None,
+        job_id: int | None = None,
+        full_transcript: list[dict] | None = None,
+    ) -> bytes:
         return await self._post_bytes_retry(
             f"{self.base_url}/api/export/docx",
-            {"data": data, "profile": profile},
+            {"data": data, "profile": profile, "full_transcript": full_transcript or []},
             job_id,
         )
 
-    async def export_pdf(self, data: dict, profile: str | None = None, job_id: int | None = None) -> bytes:
+    async def export_pdf(
+        self,
+        data: dict,
+        profile: str | None = None,
+        job_id: int | None = None,
+        full_transcript: list[dict] | None = None,
+    ) -> bytes:
         return await self._post_bytes_retry(
             f"{self.base_url}/api/export/pdf",
-            {"data": data, "profile": profile},
+            {"data": data, "profile": profile, "full_transcript": full_transcript or []},
             job_id,
         )