Update autopilot workflow and documentation for project cycle completion

- Modified the existing-code workflow to automatically loop back to New Task after project completion without user confirmation.
- Updated the autopilot state to reflect the current step as `done` and status as `completed`.
- Clarified the deployment status report by specifying non-deployed services and their purposes.

These changes enhance the automation of task management and improve documentation clarity.

tests/conftest.py

@@ -11,6 +11,7 @@ _TEST_ROOT = _TESTS_DIR / "root"
 _DATASET_IMAGES = _TEST_ROOT / "data" / "images"
 _DATASET_LABELS = _TEST_ROOT / "data" / "labels"
 _ONNX_MODEL = _PROJECT_ROOT / "_docs/00_problem/input_data/azaion.onnx"
+_PT_MODEL = _PROJECT_ROOT / "_docs/00_problem/input_data/azaion-2025-03-10.pt"
 _CLASSES_JSON = _PROJECT_ROOT / "src" / "classes.json"
 _CONFIG_TEST = _PROJECT_ROOT / "config.test.yaml"
 _MODELS_DIR = _TEST_ROOT / "models"
@@ -88,6 +89,14 @@ def fixture_onnx_model():
     return p.read_bytes()
 
 
+@pytest.fixture(scope="session")
+def fixture_pt_model():
+    p = _PT_MODEL
+    if not p.is_file():
+        pytest.skip(f"missing pt model: {p}")
+    return str(p)
+
+
 @pytest.fixture(scope="session")
 def fixture_classes_json():
     p = _CLASSES_JSON