Enhancement (beta): add direct LLM language setting (#12906)

src/documents/tests/test_api_app_config.py

@@ -81,6 +81,7 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
                 "llm_model": None,
                 "llm_api_key": None,
                 "llm_endpoint": None,
+                "llm_output_language": None,
             },
         )
 

src/documents/tests/test_views.py

@@ -408,6 +408,45 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
             "KI Title",
         )
 
+    @patch("documents.views.get_ai_document_classification")
+    @override_settings(
+        AI_ENABLED=True,
+        LLM_BACKEND="mock_backend",
+        LLM_OUTPUT_LANGUAGE="fr-fr",
+    )
+    def test_ai_suggestions_configured_language_takes_precedence(
+        self,
+        mock_get_ai_classification,
+    ) -> None:
+        UiSettings.objects.create(user=self.user, settings={"language": "de-de"})
+        mock_get_ai_classification.return_value = {
+            "title": "Titre IA",
+            "tags": [],
+            "correspondents": [],
+            "document_types": [],
+            "storage_paths": [],
+            "dates": [],
+        }
+
+        self.client.force_login(user=self.user)
+        response = self.client.get(
+            f"/api/documents/{self.document.pk}/ai_suggestions/",
+        )
+
+        self.assertEqual(response.status_code, status.HTTP_200_OK)
+        mock_get_ai_classification.assert_called_once_with(
+            self.document,
+            self.user,
+            "fr-fr",
+        )
+        self.assertEqual(
+            get_llm_suggestion_cache(
+                self.document.pk,
+                backend="mock_backend:fr-fr",
+            ).suggestions["title"],
+            "Titre IA",
+        )
+
     @patch("documents.views.get_ai_document_classification")
     @override_settings(
         AI_ENABLED=True,

src/documents/views.py

@@ -1469,10 +1469,14 @@ class DocumentViewSet(
         if not ai_config.ai_enabled:
             return HttpResponseBadRequest("AI is required for this feature")
 
-        output_language = None
-        if hasattr(request.user, "ui_settings") and isinstance(
-            request.user.ui_settings.settings,
-            dict,
+        output_language = ai_config.llm_output_language
+        if (
+            not output_language
+            and hasattr(request.user, "ui_settings")
+            and isinstance(
+                request.user.ui_settings.settings,
+                dict,
+            )
         ):
             output_language = request.user.ui_settings.settings.get("language") or None
         llm_cache_backend = (