feat: include Hugging Face model search

tests/test_validation_harness.py

@@ -89,6 +89,44 @@ class ValidationHarnessTests(unittest.TestCase):
         self.assertEqual(response, {"jobs": active})
         listed.assert_called_once_with(active_only=True, conversation_id="conversation", limit=20)
 
+    def test_huggingface_search_normalizes_public_model_metadata(self):
+        with patch.object(
+            api,
+            "_json_list_request",
+            return_value=[
+                {
+                    "id": "Qwen/Qwen3.8-Flash-Next",
+                    "downloads": 4810,
+                    "likes": 3966,
+                    "pipeline_tag": "image-text-to-text",
+                    "library_name": "transformers",
+                    "lastModified": "2026-08-27T00:00:00.000Z",
+                    "sha": "abc123",
+                    "tags": ["qwen", "conversational"],
+                }
+            ],
+        ):
+            results = api._search_huggingface("Qwen3.8-Flash-Next", limit=10)
+        self.assertEqual(len(results), 1)
+        model = results[0]
+        self.assertEqual(model["name"], "Qwen/Qwen3.8-Flash-Next")
+        self.assertEqual(model["source"], "huggingface")
+        self.assertEqual(model["hf_url"], "https://huggingface.co/Qwen/Qwen3.8-Flash-Next")
+        self.assertIn("vision", model["capabilities"])
+        self.assertFalse(model["downloadable"])
+
+    def test_catalog_search_combines_ollama_and_huggingface_sources(self):
+        ollama = [{"name": "qwen3.8:latest", "source": "catalog"}]
+        huggingface = [{"name": "Qwen/Qwen3.8-Flash-Next", "source": "huggingface"}]
+        with patch.object(api, "_search_ollama_catalog", return_value=ollama) as ollama_search, patch.object(
+            api, "_search_huggingface", return_value=huggingface
+        ) as hf_search:
+            response = api.catalog_search("Qwen3.8", limit=10)
+        self.assertEqual(response["results"], ollama + huggingface)
+        self.assertEqual(response["sources"], ["ollama", "huggingface"])
+        ollama_search.assert_called_once_with("Qwen3.8", limit=10)
+        hf_search.assert_called_once_with("Qwen3.8", limit=10)
+
     def test_primary_draft_validators_and_primary_compilation_produce_one_answer(self):
         body = api.ChatRequest(
             primary_model="primary",