Cap generated keywords and simplify LLM correction retries.

test/test_processing.py

@@ -127,39 +127,3 @@ def test_process_batch_is_sequential_reuses_session_and_continues_after_error():
     assert all(len(call.args[0]) == 1 for call in session.call.call_args_list)
     assert writer_class.return_value.write.call_count == 2
     session.close.assert_called_once()
-
-
-def test_process_batch_flushes_after_configured_attempt_count(monkeypatch):
-    monkeypatch.setattr("photools3.processing.settings.llm_flush_every_photos", 2)
-
-    class FakePhoto:
-        def __init__(self, path):
-            self.path = path
-
-        def __enter__(self):
-            return self
-
-        def __exit__(self, exc_type, exc_value, traceback):
-            return None
-
-    response = LlmResponseCaptionsAndKeywords(caption="Ein Haus", tags=["architektur"])
-    session = MagicMock()
-    session.call.side_effect = [
-        response,
-        RuntimeError("temporary error"),
-        response,
-        response,
-        response,
-    ]
-    paths = [Path(f"{i}.jpg") for i in range(5)]
-
-    with (
-        patch("photools3.processing._create_session", return_value=session),
-        patch("photools3.processing.Photo", FakePhoto),
-        patch("photools3.processing.MetadataWriter"),
-    ):
-        outcomes = process_batch(paths, ProcessingMode.BOTH)
-
-    assert len(outcomes) == len(paths)
-    assert session.flush_model.call_count == 2
-    session.close.assert_called_once()