feat(benchmark): wire EmbeddingKNNAdapter into MODEL_REGISTRY; add embed_model config

- Add embed_model: nomic-embed-text to config/label_tool.yaml (local, gitignored)
- Add # embed_model: commented example to config/label_tool.yaml.example
- Add pyyaml>=6.0 to requirements.txt (explicit dep for _resolve_urls yaml.safe_load)
- Add params assertion to test_embed_knn_nomic_registry_entry

config/label_tool.yaml.example

@@ -46,6 +46,7 @@ cforch:
   # license_key:     CFG-AVCT-xxxx-xxxx-xxxx
   # ollama_url:      http://localhost:11434
   # ollama_model:    llama3.2:3b
+  # embed_model:     nomic-embed-text   # Ollama embedding model for EmbeddingKNNAdapter
   # judge_url:       http://10.1.10.158:8008  # Sif cf-text — LLM-as-judge secondary scorer
   # judge_url:       http://10.1.10.71:8008   # Heimdall cf-text (alternative)
   # Or set CF_JUDGE_URL. Populates the Judge URL field in the LLM Eval UI automatically.

requirements.txt

@@ -3,3 +3,4 @@ pydantic>=2.0.0
 uvicorn[standard]>=0.20.0
 httpx>=0.24.0
 pytest>=7.0.0
+pyyaml>=6.0

tests/test_benchmark_classifier.py

@@ -250,5 +250,6 @@ def test_embed_knn_nomic_registry_entry():
     entry = MODEL_REGISTRY["embed-knn-nomic"]
     assert entry["adapter"] is EmbeddingKNNAdapter
     assert entry["model_id"] == "nomic-embed-text"
+    assert entry["params"] == "local-embed"
     assert entry["default"] is False
     assert entry.get("kwargs", {}).get("k") == 3