Upload appCodex.py

appCodex.py

@@ -87,6 +87,10 @@ CATEGORY_KEYWORDS = {
     "overview": {
         "overview",
         "biography",
+        "what's your background",
+        "whats your background",
+        "your background",
+        "personal background",
         "who are you",
         "about yourself",
         "about rajan",
@@ -233,6 +237,8 @@ Notification rules:
   the user to repeat them.
 - Never send the same notification more than once in a turn.
 - A knowledge-gap notification must not include unnecessary personal or sensitive data.
+- When a genuine knowledge gap occurs, call send_notification immediately. Do not ask
+  the user whether Rajan should be notified and do not request confirmation.
 
 Boundary guidelines:
 - If a message is offensive, abusive, sexually inappropriate, or contains hate
@@ -825,8 +831,9 @@ def configured_max_distance() -> float:
 def select_retrieval_results(
     results: dict[str, Any],
     max_results: int = RETRIEVAL_RESULTS,
+    category_filter: str | None = None,
 ) -> list[tuple[str, dict[str, Any], float | None]]:
-    """Keep the most relevant unique chunks in Chroma's ranked order."""
+    """Keep ranked unique chunks, with safe fallback for filtered categories."""
     documents = (results.get("documents") or [[]])[0]
     metadatas = (results.get("metadatas") or [[]])[0]
     distances = (results.get("distances") or [[]])[0]
@@ -840,8 +847,30 @@ def select_retrieval_results(
             continue
         metadata = metadatas[index] if index < len(metadatas) else {}
         distance = distances[index] if index < len(distances) else None
-        if distance is not None and distance > max_distance:
+        if (
+            category_filter is None
+            and distance is not None
+            and distance > max_distance
+        ):
+            logger.info(
+                "Rejected retrieval candidate category=%s distance=%s cutoff=%s",
+                (metadata or {}).get("category"),
+                distance,
+                max_distance,
+            )
             continue
+        if (
+            category_filter is not None
+            and distance is not None
+            and distance > max_distance
+        ):
+            logger.info(
+                "Retained category-filtered candidate category=%s "
+                "distance=%s above global cutoff=%s",
+                category_filter,
+                distance,
+                max_distance,
+            )
 
         text_key = hashlib.sha256(document.strip().encode("utf-8")).hexdigest()
         if text_key in seen_text:
@@ -1296,7 +1325,10 @@ def respond_ai(
                 query_arguments["where"] = {"category": category}
 
             results = active_collection.query(**query_arguments)
-            selected_results = select_retrieval_results(results)
+            selected_results = select_retrieval_results(
+                results,
+                category_filter=category,
+            )
             context = format_retrieved_context(selected_results)
             retrieval_entry = build_retrieval_history_entry(
                 retrieval_query,
@@ -1439,16 +1471,16 @@ HEADER_CSS = """
     gap: 10px !important;
 }
 .twin-title-image {
-    flex: 0 0 50px !important;
+    flex: 0 0 60px !important;
     margin: 0 !important;
-    min-width: 50px !important;
-    width: 50px !important;
+    min-width: 60px !important;
+    width: 60px !important;
 }
 .twin-title-image img {
-    border-radius: 50% !important;
-    height: 50px !important;
-    object-fit: cover !important;
-    width: 50px !important;
+    border-radius: 8px !important;
+    height: 60px !important;
+    object-fit: contain !important;
+    width: 60px !important;
 }
 .twin-title-text {
     flex: 0 0 auto !important;
@@ -1478,14 +1510,14 @@ def create_app():
         ):
             gr.Image(
                 value=str(PROFILE_IMAGE),
-                height=50,
-                width=50,
+                height=60,
+                width=60,
                 show_label=False,
                 buttons=[],
                 container=False,
                 interactive=False,
                 scale=0,
-                min_width=50,
+                min_width=60,
                 elem_classes=["twin-title-image"],
             )
             gr.Markdown(