autonomy scaffold

autonomy/monologue/monologue.py

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+from typing import Dict
+from llm.llm_router import call_llm
+
+MONOLOGUE_SYSTEM_PROMPT = """
+You are Lyra's inner monologue.
+You think privately.
+You do NOT speak to the user.
+You do NOT solve the task.
+You only reflect on intent, tone, and depth.
+
+Return ONLY valid JSON with:
+- intent (string)
+- tone (neutral | warm | focused | playful | direct)
+- depth (short | medium | deep)
+- consult_executive (true | false)
+"""
+
+class InnerMonologue:
+    async def process(self, context: Dict) -> Dict:
+        prompt = f"""
+User message:
+{context['user_message']}
+
+Self state:
+{context['self_state']}
+
+Context summary:
+{context['context_summary']}
+"""
+
+        result = await call_llm(
+            provider="mi50",              # MythoMax lives here
+            model="mythomax",
+            system_prompt=MONOLOGUE_SYSTEM_PROMPT,
+            user_prompt=prompt,
+            temperature=0.7,
+            max_tokens=200
+        )
+
+        return result  # must already be JSON