Phase 1A: Remove company routes/services/models/schemas, unify to Contact

- Removed: app/routes/companies.py, app/services/company_service.py, app/models/company.py, app/schemas/company.py
- Updated: main.py, routes/__init__.py, models/__init__.py (removed company imports)
- Updated: action_mapper.py (company intents → contact intents, /api/v1/companies → /api/v1/contacts)
- Updated: workflows/engine.py (company.created → contact.created)
- Updated: worker.py (removed index_company)
- Updated: roles.py, permission_registry.py, permissions.py, deps.py (companies: → contacts:)
- Updated: permission_registry.py CORE_FIELD_DEFINITIONS (old field names → unified contact fields)
- Updated: address model/schema/service (entity_type company → contact only)
- Updated: ai_copilot_service.py (_exec_companies removed, _exec_contacts extended)
- Updated: ai_proactive services/jobs/context_tools (Company → Contact, company_contacts → contact_persons)
- Updated: unified_search jobs.py (removed index_company), query_understanding.py
- Updated: calendar/models.py, addresses.py docstrings
- Updated: conftest.py (Company → Contact, removed companies/company_contacts from TRUNCATE)
- Updated: test_unified_search.py (index_company → index_contact)

app/plugins/builtins/unified_search/jobs.py

@@ -121,27 +121,6 @@ async def index_contact(ctx: dict[str, Any], contact_id: str) -> None:
             logger.exception("Failed to index contact %s", contact_id)
 
 
-async def index_company(ctx: dict[str, Any], company_id: str) -> None:
-    """Index a company (contact with type='company'): generate and store embedding."""
-    from sqlalchemy import text
-    from app.plugins.builtins.unified_search.embedding import index_entity
-
-    factory = get_session_factory()
-    async with factory() as db:
-        try:
-            eid = _parse_id(company_id)
-            result = await db.execute(
-                text("SELECT tenant_id FROM contacts WHERE id = :cid"),
-                {"cid": eid},
-            )
-            row = result.mappings().first()
-            if not row:
-                return
-            await index_entity("contact", eid, row["tenant_id"], db)
-        except Exception:
-            logger.exception("Failed to index company %s", company_id)
-
-
 async def index_event(ctx: dict[str, Any], event_id: str) -> None:
     """Index a calendar event: generate and store embedding."""
     from sqlalchemy import text

app/plugins/builtins/unified_search/query_understanding.py

@@ -18,7 +18,7 @@ DEFAULT_LLM_MODEL = os.environ.get('SEARCH_LLM_MODEL', 'ollama/deepseek-v4-flash
 QUERY_ANALYZE_SYSTEM = (
     "Du bist ein Query-Analyzer fuer ein CRM. "
     "Analysiere die Suchanfrage und gib JSON zurueck: "
-    '{"normalized_query": str, "entities": {"person": str|null, "company": str|null, "topic": str|null}, '
+    '{"normalized_query": str, "entities": {"person": str|null, "contact": str|null, "topic": str|null}, '
     '"intent": str, "semantic_terms": [str], "suggested_filters": {}}'
 )