Deploy Myco from CI

game/agent_controller.py

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+import engine
+import json
+import random
+
+class MycoController:
+    def __init__(self):
+        self.position = [1, 1]  # 3x3 Grid (0-2)
+        self.history = []
+
+    def get_agent_decision(self, current_mushroom, collection):
+        """
+        Queries Gemma for a decision. 
+        Note: We use engine._llm but provide a specific 'Agent' prompt.
+        """
+        prompt = f"""
+        Current Position: {self.position}
+        Mushroom in clearing: {'Yes' if current_mushroom else 'No'}
+        Collection count: {len(collection)}
+        
+        Decide your next action: 'move', 'search', 'study', 'collect', or 'wait'.
+        If 'move', provide target coordinate (e.g., [1, 2]).
+        
+        Respond ONLY in JSON format:
+        {{"action": "...", "target": [x, y], "thought": "..."}}
+        """
+        
+        # We reuse the existing engine._llm functionality
+        response = engine._llm(prompt) 
+        
+        # Simple parser
+        try:
+            # Extract JSON from potential markdown text
+            start = response.find("{")
+            end = response.rfind("}") + 1
+            return json.loads(response[start:end])
+        except:
+            return {"action": "wait", "target": None, "thought": "Thinking..."}
+
+    def run_tick(self, current_mushroom, collection):
+        """
+        This is the heartbeat of the AI. 
+        It decides and then executes via engine functions.
+        """
+        decision = self.get_agent_decision(current_mushroom, collection)
+        action = decision.get("action")
+        
+        result = {"action_taken": action, "thought": decision.get("thought")}
+        
+        # EXECUTION LAYER (calling existing engine functions)
+        if action == "move":
+            self.position = decision.get("target", self.position)
+        
+        elif action == "search":
+            # We call the engine function directly
+            mushroom, current, history = engine.discover_mushroom(collection)
+            result["data"] = {"mushroom": mushroom, "current": current}
+            
+        elif action == "collect":
+            if current_mushroom:
+                coll, hist = engine.collect_current(current_mushroom, collection, self.history)
+                result["data"] = {"collection": coll}
+        
+        return result