feat. Revision of Agent Lopp & major clean-up

tests/test_cli.py

@@ -9,14 +9,6 @@ from src.config import AppConfig
 from src.models import AgentResult, RunArtifacts, UsageSummary
 
 
-class _OverlayRecorder:
-    def __init__(self) -> None:
-        self.calls: list[dict[str, Any]] = []
-
-    def show_completion(self, **kwargs: Any) -> None:
-        self.calls.append(kwargs)
-
-
 def test_cli_emits_structured_return_and_data(monkeypatch: Any, capsys, tmp_path: Path) -> None:
     config = AppConfig(
         openai_api_key="test_key",
@@ -64,30 +56,16 @@ def test_cli_emits_structured_return_and_data(monkeypatch: Any, capsys, tmp_path
         )
         return result, artifacts
 
-    overlay = _OverlayRecorder()
-
     monkeypatch.setattr(cli_module, "load_app_config", fake_load_app_config)
     monkeypatch.setattr(cli_module, "assess_task_safety", fake_assess_task_safety)
     monkeypatch.setattr(cli_module, "run_job", fake_run_job)
     monkeypatch.setattr(cli_module, "create_openai_client", lambda *_args, **_kwargs: object())
-    monkeypatch.setattr(cli_module, "get_desktop_overlay_manager", lambda: overlay)
 
     code = cli_module.main(["Open amazon.de"])
     assert code == 0
 
     out = capsys.readouterr().out
     payload = json.loads(out)
-    assert overlay.calls == [
-        {
-            "job_id": "20260527_000001",
-            "objective": "Open amazon.de",
-            "return_message": "Task completed successfully",
-            "steps": 3,
-            "elapsed_seconds": 2.5,
-        }
-    ]
-    assert payload["response"]["return"] == "Task completed successfully"
-    assert payload["response"]["data"] == "file1.txt\nfile2.txt"
     assert payload["return"] == "Task completed successfully"
     assert payload["data"] == "file1.txt\nfile2.txt"
     assert captured_kwargs["options"].reasoning_effort == "medium"