Add RAG rewrite, 60-session experiment scripts, and analysis tools

- RAG rewrite adapter and vector preference pipeline in personalized_llm
- 60-session experiment queue scripts (reflection, rag, rag_vector, rag_rewrite)
- Vector-preference correlation analysis and visualization scripts
- Local reward model batch processing improvements
- Updated CLAUDE.md with full experiment documentation and notes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

1 files changed, 4 insertions, 1 deletions

diff --git a/src/personalization/config/registry.py b/src/personalization/config/registry.py
index 6048044..c7a6a09 100644
--- a/src/personalization/config/registry.py
+++ b/src/personalization/config/registry.py
@@ -7,6 +7,9 @@ import yaml
 
 from personalization.config import settings
 
+# Project root for resolving config paths
+_PROJECT_ROOT = Path(__file__).parent.parent.parent.parent
+
 # Avoid circular imports by NOT importing extractors here at top level
 # from personalization.models.preference_extractor.base import PreferenceExtractorBase
 # from personalization.models.preference_extractor.rule_extractor import QwenRuleExtractor
@@ -54,7 +57,7 @@ def get_chat_model(name: str, device_override: Optional[str] = None):
     cfg = settings.load_local_models_config()
     
     # Try to load raw config to support multi-backend map
-    with open("configs/local_models.yaml", "r") as f:
+    with open(_PROJECT_ROOT / "configs/local_models.yaml", "r") as f:
         raw_cfg = yaml.safe_load(f)
     
     models = raw_cfg.get("models", {}).get("llm", {})