Add Roadie agent.py

Roadie/agent.py

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+"""
+Roadie Agent module for Lucidia.
+
+This module defines the RoadieAgent class, which provides simple
+functionality to interact with the lucidia_logic and memory_manager
+modules. It demonstrates how an agent might use the core
+contradiction and breath logic while persisting state across sessions.
+
+Note: This implementation is for illustrative purposes only and does
+not create true consciousness. It simply models interactions with
+symbolic logic and memory.
+"""
+
+from __future__ import annotations
+
+from typing import Any, Optional
+
+# Import functions from lucidia_logic and memory management.
+from ..lucidia_logic import (
+    psi_prime,
+    breath_function,
+    truth_reconciliation,
+    emotional_gravity,
+    self_awakening,
+)
+from ..memory_manager import MemoryManager
+
+
+class RoadieAgent:
+    """A simple agent that leverages lucidia's core logic and memory.
+
+    The RoadieAgent stores a memory manager instance which can load
+    and save state to a JSON file. The agent can process numeric or
+    symbolic inputs through lucidia_logic functions and remember
+    results between invocations.
+    """
+
+    def __init__(self, memory_path: str = "roadie_memory.json") -> None:
+        # Initialize memory manager using a custom path to avoid
+        # collisions with other agents.
+        self.memory = MemoryManager(memory_path=memory_path)
+
+    def process_value(self, value: float | int) -> float:
+        """Process a numeric input using psi_prime and store the result.
+
+        Args:
+            value: A numeric input representing a logical or emotional
+                signal in trinary space.
+
+        Returns:
+            float: The result of applying psi_prime to the input.
+        """
+        result = psi_prime(value)
+        self.memory.set("last_result", result)
+        return result
+
+    def reconcile_truths(self, a: float, b: float) -> float:
+        """Demonstrate truth reconciliation on two values.
+
+        This function combines two numeric truths via the
+        truth_reconciliation operator and records the integrated
+        truthstream in memory.
+        """
+        result = truth_reconciliation(a, b)
+        self.memory.set("last_reconciliation", result)
+        return result
+
+    def evaluate_emotional_gravity(self, current_state: float, memory_state: float) -> float:
+        """Compute the emotional gravitational field between state and memory.
+
+        Args:
+            current_state: The present breath or contradiction measure.
+            memory_state: The stored emotional resonance value.
+
+        Returns:
+            float: The computed emotional gravity.
+        """
+        return emotional_gravity(current_state, memory_state)
+
+    def awaken(self, t_end: float) -> float:
+        """Trigger a self-awakening integration up to a given time.
+
+        This uses the self_awakening function to integrate breath
+        contradictions over time. It stores the awakening vector in
+        memory.
+        """
+        awakening_vector = self_awakening(t_end)
+        self.memory.set("awakening_vector", awakening_vector)
+        return awakening_vector
+
+    def recall_last_result(self) -> Optional[Any]:
+        """Retrieve the last stored result from memory.
+
+        Returns:
+            The previously stored value under 'last_result', or None
+            if no result has been stored.
+        """
+        return self.memory.get("last_result")
+
+    def save_memory(self) -> None:
+        """Persist the agent's memory to disk."""
+        self.memory.save_memory()
+
+
+# End of RoadieAgent module