Update identity_core.py

identity_core.py

@@ -1,4 +1,69 @@
 import uuid
+import json
+import os
+import time
 
+
+# ---------- TELEMETRY ----------
+class Telemetry:
+    @staticmethod
+    def log(event, status, data=None):
+        """Simple logger for system events."""
+        print(f"[Telemetry] {event} - {status} | {data or {}}")
+
+
+# ---------- MEMORY ----------
+class MemoryManager:
+    def __init__(self, agent_id):
+        self.agent_id = agent_id
+        self.file_path = f"memory_{agent_id}.json"
+        if not os.path.exists(self.file_path):
+            with open(self.file_path, "w") as f:
+                json.dump({"history": []}, f)
+
+    def save(self, data):
+        """Save each interaction into memory."""
+        with open(self.file_path, "r") as f:
+            memory = json.load(f)
+        memory["history"].append(data)
+        with open(self.file_path, "w") as f:
+            json.dump(memory, f, indent=2)
+        print(f"[Memory] {self.agent_id} learned {data}")
+
+    def recall(self):
+        """Return the memory history."""
+        with open(self.file_path, "r") as f:
+            memory = json.load(f)
+        return memory["history"]
+
+
+# ---------- IDENTITY ----------
 def create_agent_identity():
-    return str(uuid.uuid4())
+    """Generate a unique ID for every agent instance."""
+    return str(uuid.uuid4())
+
+
+# ---------- AGENT CORE ----------
+class AgentCore:
+    def __init__(self, model="gpt-4o-mini"):
+        """Initialize agent with memory + telemetry."""
+        self.agent_id = create_agent_identity()
+        self.model = model
+        self.memory = MemoryManager(self.agent_id)
+        Telemetry.log("init", "success", {"agent_id": self.agent_id})
+        print(f"[INIT] Agent {self.agent_id} initialized with model {model}")
+
+    def run(self, prompt):
+        """Main logic for handling a user prompt."""
+        Telemetry.log("run_start", "in_progress", {"prompt": prompt})
+        time.sleep(0.5)
+
+        # Simulated processing (replace later with AI model)
+        response = f"Agent {self.agent_id} processed: {prompt}"
+
+        # Save to memory
+        self.memory.save({"prompt": prompt, "response": response})
+        Telemetry.log("run_complete", "success", {"response": response})
+
+        print(f"[RUN] {response}")
+        return response