Enhance error handling and state management in access card and session modules

- Updated the `render_access_panel` function to conditionally hide LLM errors when the Ollama model is operational, improving user experience by reducing unnecessary error visibility.
- Introduced a new `_notes_from_disk` function to streamline the retrieval of notes from disk, enhancing state management during GPU environment checks.
- Refactored error handling in the `_bind_access` function to ensure that stack and GPU environment errors are accurately recorded and managed, improving robustness in session state updates.
- Added tests to validate the new behavior of error handling and state management, ensuring that LLM errors are appropriately suppressed when conditions are met.

tests/test_tune_swarm_perf.py

@@ -259,3 +259,21 @@ def test_jit_fail_strips_sage_extra_args(tmp_path, monkeypatch):
     assert marker["pip_ok"] is True
     assert marker["jit_ok"] is False
     assert "--use-sage-attention" not in backends.read_text(encoding="utf-8")
+
+
+def test_triton_jit_ok_runs_a_py_file(tmp_path, monkeypatch):
+    mod = _load()
+    py = tmp_path / "python"
+    py.write_text("", encoding="utf-8")
+    seen: list[list[str]] = []
+
+    def fake_output(cmd, **kw):
+        seen.append(list(cmd))
+        return "triton JIT ok\n"
+
+    monkeypatch.setattr(mod.subprocess, "check_output", fake_output)
+    assert mod.triton_jit_ok(py) is True
+    assert seen
+    assert seen[0][0] == str(py)
+    assert seen[0][1].endswith(".py")
+    assert "-c" not in seen[0]