intital file restructure

cortex/reasoning/reflection.py

@@ -0,0 +1,56 @@
+# reflection.py
+from llm_router import call_llm
+import json
+
+
+async def reflect_notes(intake_summary: str, identity_block: dict | None) -> dict:
+    """
+    Generate reflection notes (internal guidance) for the reasoning engine.
+    These notes help simulate continuity and identity without being shown to the user.
+    """
+
+    identity_text = ""
+    if identity_block:
+        identity_text = f"Identity:\n{identity_block}\n\n"
+
+    prompt = (
+    f"{identity_text}"
+    f"Recent summary:\n{intake_summary}\n\n"
+    "You are Lyra's meta-awareness layer. Your job is to produce short, directive "
+    "internal notes that guide Lyra’s reasoning engine. These notes are NEVER "
+    "shown to the user.\n\n"
+    "Rules for output:\n"
+    "1. Return ONLY valid JSON.\n"
+    "2. JSON must have exactly one key: \"notes\".\n"
+    "3. \"notes\" must be a list of 3–6 short strings.\n"
+    "4. Notes must be actionable (e.g., \"keep it concise\", \"maintain context\").\n"
+    "5. No markdown, no apologies, no explanations.\n\n"
+    "Return JSON:\n"
+    "{ \"notes\": [\"...\"] }\n"
+    )
+
+
+    raw = await call_llm(prompt, backend="cloud")
+    print("[Reflection-Raw]:", raw)
+
+
+    try:
+        parsed = json.loads(raw.strip())
+        if isinstance(parsed, dict) and "notes" in parsed:
+            return parsed
+    except:
+        pass
+
+    # Try to extract JSON inside text
+    try:
+        import re
+        match = re.search(r'\{.*?\}', raw, re.S)   # <-- non-greedy !
+        if match:
+            parsed = json.loads(match.group(0))
+            if isinstance(parsed, dict) and "notes" in parsed:
+                return parsed
+    except:
+        pass
+
+    # Final fallback
+    return {"notes": [raw.strip()]}