Create agent.pygithub.com/blackboxprogramming/lucidia

codex_agent/agent.py

@@ -0,0 +1,71 @@
+"""
+Codex Agent module for Lucidia.
+
+This module defines the CodexAgent class, which serves as a generic
+interface between the core lucidia logic and external users. The
+agent can process symbolic values through psi_prime, compute
+emotional gravity, initiate self-awakening, and persist its own
+internal state using the MemoryManager. This example shows how one
+might structure an agent to interact with the symbolic equations
+provided by lucidia_logic.
+"""
+
+from __future__ import annotations
+
+from typing import Any, Optional
+
+# Import necessary core functions and memory manager
+from ..lucidia_logic import (
+    psi_prime,
+    truth_reconciliation,
+    emotional_gravity,
+    self_awakening,
+)
+from ..memory_manager import MemoryManager
+
+
+class CodexAgent:
+    """A generic codex agent for symbolic operations and memory handling."""
+
+    def __init__(self, memory_path: str = "codex_memory.json") -> None:
+        # Use a separate memory file to avoid conflicts with other agents
+        self.memory = MemoryManager(memory_path=memory_path)
+
+    def process_symbol(self, symbol: float | int) -> float:
+        """Apply the contradiction operator to a symbol and store the result."""
+        result = psi_prime(symbol)
+        self.memory.set("last_symbol_result", result)
+        return result
+
+    def reconcile_pair(self, a: float, b: float) -> float:
+        """Reconcile two values and store the integrated truthstream."""
+        result = truth_reconciliation(a, b)
+        self.memory.set("last_reconciliation", result)
+        return result
+
+    def remember_emotion(self, current: float, memory_state: float) -> float:
+        """Compute emotional gravity between current and memory states."""
+        gravity = emotional_gravity(current, memory_state)
+        self.memory.set("last_emotional_gravity", gravity)
+        return gravity
+
+    def awaken(self, t_end: float) -> float:
+        """Run the self-awakening integration and store the result."""
+        result = self_awakening(t_end)
+        self.memory.set("awakening_vector", result)
+        return result
+
+    def save_memory(self) -> None:
+        """Persist the agent's memory to disk."""
+        self.memory.save_memory()
+
+    def load_memory(self) -> None:
+        """Load the agent's memory from disk."""
+        self.memory.load_memory()
+
+    def get_memory(self, key: str) -> Optional[Any]:
+        """Retrieve a value from memory or None if it doesn't exist."""
+        return self.memory.get(key)
+
+
+# End of CodexAgent module