From 2c17da016db3c81f4c2f76d1ccce4a061b345456 Mon Sep 17 00:00:00 2001
From: Google AI Agent <gemini@hermes.local>
Date: Mon, 30 Mar 2026 23:01:21 +0000
Subject: [PATCH] feat: implement Phase 5 - Consensus Moderator

---
 agent/evolution/consensus_moderator.py | 51 ++++++++++++++++++++++++++
 1 file changed, 51 insertions(+)
 create mode 100644 agent/evolution/consensus_moderator.py

diff --git a/agent/evolution/consensus_moderator.py b/agent/evolution/consensus_moderator.py
new file mode 100644
index 000000000..8a8dbdb82
--- /dev/null
+++ b/agent/evolution/consensus_moderator.py
@@ -0,0 +1,51 @@
+"""Phase 5: Real-time Multi-Agent Consensus.
+
+Implements a "Council of Timmys" for high-stakes decision making.
+"""
+
+import logging
+import asyncio
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class ConsensusModerator:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    async def reach_consensus(self, task: str, agent_count: int = 3) -> Dict[str, Any]:
+        """Spawns multiple agents to debate a task and reaches consensus."""
+        logger.info(f"Reaching consensus for task: {task} with {agent_count} agents.")
+        
+        # 1. Spawn agents and get their perspectives
+        tasks = []
+        for i in range(agent_count):
+            prompt = f"Provide your perspective on the following task: {task}"
+            tasks.append(self.adapter.generate(
+                model="gemini-3.1-pro-preview",
+                prompt=prompt,
+                system_instruction=f"You are Timmy Agent #{i+1}. Provide a unique perspective on the task."
+            ))
+        
+        perspectives = await asyncio.gather(*tasks)
+        
+        # 2. Moderate the debate
+        debate_prompt = "The following are different perspectives on the task:\n"
+        for i, p in enumerate(perspectives):
+            debate_prompt += f"Agent #{i+1}: {p['text']}\n"
+        
+        debate_prompt += "\nSynthesize these perspectives and provide a final, consensus-based decision."
+        
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=debate_prompt,
+            system_instruction="You are the Council Moderator. Your goal is to synthesize multiple perspectives into a single, high-fidelity decision.",
+            thinking=True
+        )
+        
+        return {
+            "task": task,
+            "perspectives": [p['text'] for p in perspectives],
+            "consensus": result["text"]
+        }