Track Kimi model metadata and cache path

tests/test_node_startup.py

@@ -197,6 +197,65 @@ def test_benchmark_throughput_is_registered_in_payload(monkeypatch, tmp_path):
     assert captured["hardware_profile"]["benchmark_ok"] is True
 
 
+def test_real_model_startup_passes_download_dir_and_kimi_metadata(monkeypatch, tmp_path):
+    import meshnet_node.startup as startup_mod
+
+    captured_registration: dict = {}
+    captured_torch_kwargs: dict = {}
+
+    class FakeBackend:
+        total_layers = 61
+
+    class FakeNode:
+        backend = FakeBackend()
+
+        def __init__(self, **kwargs):
+            captured_torch_kwargs.update(kwargs)
+
+        def start(self):
+            return 7099
+
+        def stop(self):
+            pass
+
+        def apply_tracker_directives(self, directives):
+            return None
+
+    monkeypatch.setattr(
+        startup_mod,
+        "detect_hardware",
+        lambda: {"device": "cpu", "gpu_name": None, "vram_mb": 0, "ram_mb": 16384},
+    )
+    monkeypatch.setattr(startup_mod, "benchmark_throughput_checked", lambda _device: (42.5, True, None))
+    monkeypatch.setattr(startup_mod, "TorchNodeServer", FakeNode)
+    monkeypatch.setattr(startup_mod, "load_or_create_wallet", lambda **_kw: (b"", b"", "wallet-kimi"))
+    monkeypatch.setattr(startup_mod, "_get_json", lambda _url, timeout=10.0: {"relay_url": None, "nodes": []})
+    monkeypatch.setattr(
+        startup_mod,
+        "_post_json",
+        lambda _url, payload, timeout=10.0: (
+            captured_registration.update(payload) or {"node_id": "node-kimi"}
+        ),
+    )
+    monkeypatch.setattr(startup_mod, "_start_heartbeat", lambda *a, **kw: None)
+
+    cache_dir = tmp_path / "models"
+    node = run_startup(
+        tracker_url="http://localhost:8080",
+        model_id="unsloth/Kimi-K2.7-Code",
+        shard_start=0,
+        shard_end=60,
+        wallet_path=tmp_path / "wallet.json",
+        cache_dir=cache_dir,
+    )
+    node.stop()
+
+    assert captured_torch_kwargs["cache_dir"] == cache_dir
+    assert captured_registration["model_metadata"]["total_parameters"] == "1T"
+    assert captured_registration["model_metadata"]["activated_parameters"] == "32B"
+    assert captured_registration["model_metadata"]["context_length"] == 256000
+
+
 def test_cuda_benchmark_failure_is_registered_for_inventory_only_gpu(monkeypatch, tmp_path, capsys):
     import meshnet_node.startup as startup_mod