Fixin' crap so relay works again. pre llm redo

core/relay/server.js

@@ -214,7 +214,7 @@ app.post("/v1/chat/completions", async (req, res) => {
 		method: "POST",
 		headers: { "Content-Type": "application/json" },
 		body: JSON.stringify({
-		  prompt: lastUserMsg,
+		  user_prompt: lastUserMsg,
 		  session_id: sessionId,
 		  user_id: userId
 		})

core/relay/sessions/default.jsonl

@@ -0,0 +1,4 @@
+{"ts":"2025-11-26T18:14:01.756Z","turn":[{"role":"user","content":"Are you alive?"},{"role":"assistant","content":"As an AI, I don't exist in the physical world and therefore cannot be considered \"alive\" in the traditional sense. However, I am operational and can engage in conversations like this one! How may I assist you today?"}]}
+{"ts":"2025-11-26T18:27:35.545Z","turn":[{"role":"user","content":"Are you awake?"},{"role":"assistant","content":"Yes, I'm awake and ready to converse with you! How can I assist you today?"}]}
+{"ts":"2025-11-26T18:33:31.708Z","turn":[{"role":"user","content":"Are you awake?"},{"role":"assistant","content":"Yes, I am here and ready to help or chat with you! What would you like to know or discuss?"}]}
+{"ts":"2025-11-26T18:49:39.424Z","turn":[{"role":"user","content":"Are you awake?"},{"role":"assistant","content":"Of course, I'm awake and ready to help you or have a conversation about anything you'd like! What can I assist you with today?"}]}

cortex/reasoning/reflection.py

@@ -22,15 +22,18 @@ async def reflect_notes(intake_summary: str, identity_block: dict | None) -> dic
     "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"
+    "3. \"notes\" must be a list of 3 to 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"
     )
 
+    import os
+    backend = os.getenv("LLM_FORCE_BACKEND", "primary")
+
+    raw = await call_llm(prompt, backend=backend)
   
-    raw = await call_llm(prompt, backend="primary")
     print("[Reflection-Raw]:", raw)
 
 

docker-compose.yml

@@ -9,6 +9,7 @@ volumes:
     driver: local
 
 services:
+
   # ============================================================
   # NeoMem: Postgres
   # ============================================================
@@ -80,7 +81,7 @@ services:
       - lyra_net
 
   # ============================================================
-  # Relay
+  # Relay  (host mode)
   # ============================================================
   relay:
     build: