fix: respect ModelScope model page limit

README.md

@@ -56,7 +56,7 @@ authority for account capacity and model/GPU uniqueness.
 If the platform reports that a model/GPU is already being validated, the claim
 is retained and the runner immediately draws replacement candidates from the
 same scan instead of retrying the duplicate every cycle. Startup logs and the
-health response expose `agent_version`; version `2026.08.02.1` or newer includes
+health response expose `agent_version`; version `2026.08.02.2` or newer includes
 this behavior.
 
 ## Deploy

modelhub_submmit_api/hf_discovery.py

@@ -105,7 +105,8 @@ class HuggingFaceDiscovery:
         min_downloads: int,
         updated_after=None,
     ) -> list[HFModelSummary]:
-        page_size = min(max(1, limit), 100)
+        # ModelScope OpenAPI rejects values above 50 with InputParameterError.
+        page_size = min(max(1, limit), 50)
         max_items = min(max(1, limit), 3000)
         task_tag = MODELSCOPE_TASK_TAGS.get(pipeline_tag, pipeline_tag)
         models: list[HFModelSummary] = []

modelhub_submmit_api/version.py

@@ -1 +1 @@
-AGENT_VERSION = "2026.08.02.1"
+AGENT_VERSION = "2026.08.02.2"

tests/test_modelscope_discovery.py

@@ -0,0 +1,41 @@
+from __future__ import annotations
+
+import sys
+import unittest
+from pathlib import Path
+
+
+PACKAGE_DIR = Path(__file__).resolve().parents[1] / "modelhub_submmit_api"
+if str(PACKAGE_DIR) in sys.path:
+    sys.path.remove(str(PACKAGE_DIR))
+sys.path.insert(0, str(PACKAGE_DIR))
+
+from hf_discovery import HuggingFaceDiscovery  # noqa: E402
+
+
+class RecordingHttpClient:
+    def __init__(self) -> None:
+        self.queries: list[dict] = []
+
+    def request_json(self, _method: str, _path: str, *, query: dict) -> dict:
+        self.queries.append(query)
+        return {"success": True, "data": {"models": []}}
+
+
+class ModelScopeDiscoveryTests(unittest.TestCase):
+    def test_openapi_page_size_never_exceeds_platform_limit(self) -> None:
+        http_client = RecordingHttpClient()
+        discovery = HuggingFaceDiscovery(http_client=http_client)  # type: ignore[arg-type]
+
+        models = discovery.list_recent_models(
+            pipeline_tags=["text-generation"],
+            limit=1000,
+            min_downloads=0,
+        )
+
+        self.assertEqual([], models)
+        self.assertEqual(50, http_client.queries[0]["page_size"])
+
+
+if __name__ == "__main__":
+    unittest.main()