fix(hwfit): keep non-LLM HF collection models out of the LLM catalog (#6731)

Tracked HF collections also contain time-series forecasters, image
encoders and image/video generators. They were imported as "general"
LLMs and offered for vllm serve. Skip their pipeline tags; embedding,
reranker and RL-tagged LLM repos stay.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

tests/test_hwfit_hf_discovery_pipeline_filter.py

@@ -0,0 +1,31 @@
+import pytest
+
+from services.hwfit.hf_discovery import _entry_from_collection_item
+
+_SOURCE = {"owner": "google", "provider": "Google"}
+_COLLECTION = {"title": "collection"}
+
+
+@pytest.mark.parametrize("repo_id,pipeline_tag", [
+    ("google/timesfm-3.0-pytorch", "time-series-forecasting"),
+    ("google/siglip2-base-patch16-224", "zero-shot-image-classification"),
+    ("moonshotai/MoonViT-SO-400M", "image-feature-extraction"),
+    ("zai-org/CogView4-6B", "text-to-image"),
+    ("zai-org/CogVideoX-5b-I2V", "image-to-video"),
+    ("zai-org/CogVideoX1.5-5B", "text-to-video"),
+])
+def test_non_llm_collection_models_are_skipped(repo_id, pipeline_tag):
+    item = {"id": repo_id, "type": "model", "pipeline_tag": pipeline_tag, "numParameters": 1_000_000_000}
+    assert _entry_from_collection_item(_COLLECTION, item, _SOURCE) is None
+
+
+@pytest.mark.parametrize("repo_id,pipeline_tag", [
+    ("google/gemma-4-12B-it", "image-text-to-text"),
+    ("Qwen/Qwen3.6-27B", "text-generation"),
+    ("Qwen/Qwen3-Embedding-4B", "feature-extraction"),
+    ("NousResearch/DeepHermes-Egregore-v2-RLAIF-8b-Atropos", "reinforcement-learning"),
+    ("Qwen/Qwen3-Next-80B-A3B-Instruct", ""),
+])
+def test_servable_collection_models_are_kept(repo_id, pipeline_tag):
+    item = {"id": repo_id, "type": "model", "pipeline_tag": pipeline_tag, "numParameters": 4_000_000_000}
+    assert _entry_from_collection_item(_COLLECTION, item, _SOURCE) is not None