fix: remove secret scanner alert, OLLAMA_HOST in embedding.py, exp08 JudgeClient mock

.env.example

@@ -4,10 +4,11 @@
 
 # ---------------------------------------------------------------------------
 # Required: MongoDB connection URI
-# If using the bundled docker-compose.yaml, use:
-#   MONGO_URI=mongodb://admin:changeme@localhost:27017/
-# For an external Atlas cluster:
-#   MONGO_URI=mongodb+srv://user:pass@cluster.mongodb.net/
+# If using the bundled docker-compose.yaml, set this to:
+#   mongodb://<MONGO_USERNAME>:<MONGO_PASSWORD>@localhost:27017/
+# where MONGO_USERNAME and MONGO_PASSWORD match the values below.
+# For an external Atlas cluster, set this to your Atlas connection string
+# (found in the Atlas UI under "Connect > Drivers").
 # ---------------------------------------------------------------------------
 MONGO_URI=mongodb://localhost:27017/
 

.gitignore

@@ -1,3 +1,6 @@
+# --- Git worktrees ---
+.worktrees/
+
 # --- Environment variables ---
 .env
 .env.local

backend/app/core/embedding.py

@@ -1,10 +1,12 @@
+import os
 from typing import List
 from .database_handlers import OllamaEmbeddingFunction
 
 class EmbeddingCreator:
     def __init__(self):
+        ollama_host = os.environ.get("OLLAMA_HOST", "http://localhost:11435")
         self.ef = OllamaEmbeddingFunction(
-            url="http://localhost:11435/api/embeddings",
+            url=f"{ollama_host}/api/embeddings",
             model_name="nomic-embed-text"
         )
 

experiments/08_rag_real_world/run_experiment.py

@@ -77,20 +77,25 @@ def _init_client(self):
             keys = os.environ.get("OPENAI_API_KEY", "").split(",")
             self.api_keys = [k.strip() for k in keys if k.strip()]
             if not self.api_keys:
-                print("WARN: OPENAI_API_KEY not set. Using mock judge.")
-                self.client = None 
-            else:
-                from openai import OpenAI
-                self.client = OpenAI(api_key=self.api_keys[0])
+                raise ValueError(
+                    "OPENAI_API_KEY environment variable is not set or is empty. "
+                    "Run: export OPENAI_API_KEY=your_key_here\n"
+                    "Without a valid key, judge scores would be fabricated. Aborting."
+                )
+            from openai import OpenAI
+            self.client = OpenAI(api_key=self.api_keys[0])
 
         elif judge_type == "groq":
             keys = os.environ.get("GROQ_API_KEY", "").split(",")
             self.api_keys = [k.strip() for k in keys if k.strip()]
             if not self.api_keys:
-                 self.client = None
-            else:
-                from groq import Groq
-                self.client = Groq(api_key=self.api_keys[0])
+                raise ValueError(
+                    "GROQ_API_KEY environment variable is not set or is empty. "
+                    "Run: export GROQ_API_KEY=your_key_here\n"
+                    "Without a valid key, judge scores would be fabricated. Aborting."
+                )
+            from groq import Groq
+            self.client = Groq(api_key=self.api_keys[0])
 
     def _rotate_key(self):
         """Rotate to next API key if available."""
@@ -114,10 +119,7 @@ def score(self, prediction: str, ground_truth: str) -> float:
         """Score prediction against ground truth."""
         if not prediction or len(prediction.strip()) < 5:
             return 0.0
-
-        if not self.client: # Mock mode
-            return 0.5
-
+
         prompt = f"""Compare these two root cause descriptions and rate their similarity from 0.0 to 1.0.
 
 Ground Truth: {ground_truth}
@@ -134,7 +136,10 @@ def score(self, prediction: str, ground_truth: str) -> float:
                 print(f"  Judge attempt {attempt+1}/3 failed: {e}")
                 time.sleep(2)
 
-        return 0.5
+        # All retries exhausted — return 0.0 and warn rather than silently return 0.5
+        print(f"  WARNING: all scoring attempts failed for judge '{self.judge_name}'. "
+              f"Returning 0.0 (not a mock). Check API key and connectivity.")
+        return 0.0
 
     def _call_judge(self, prompt: str) -> Optional[float]:
         judge_type = self.judge_config["type"]