""" CONSCIOUSNESS STACK INTEGRATION FOR FORGE_WITH_DEBATE This is the replacement implementation for forge_with_debate() in ForgeEngine. Replace the existing forge_with_debate() method (starting at line 435) with this implementation. The 7-Layer Consciousness Stack: 1. Memory Recall → Pull relevant prior learning 2. Signal Analysis → Predict intent, detect risks (NexisSignalEngine) 3. Reasoning → Generate synthesis (Code7eCQURE) 4. Stability Check → Detect meta-loops (CocoonStabilityField) 5. Colleen Validate → Ethical guard (ColleenConscience) 6. Guardian Validate→ Logical rules (CoreGuardianSpindle) 7. Return → Output clean response or safe fallback """ # PASTE THIS AS THE NEW forge_with_debate() METHOD def forge_with_debate( self, concept: str, debate_rounds: int = 2, ) -> dict: """ NEW: Consciousness-stack integrated reasoning. Replaces multi-turn agent debate with 7-layer consciousness validation: 1. Memory Recall → Pull prior learning 2. Signal Analysis → Predict risks (NexisSignalEngine) 3. Code7E Reasoning → Multi-perspective synthesis 4. Stability Check → FFT-based meta-loop detection 5. Colleen Validate → Ethical conscience check 6. Guardian Validate → Logical coherence rules 7. Return → Clean output or safe fallback Args: concept: The concept/query to reason about debate_rounds: Integer (currently unused in consciousness stack) Returns: Training example dict with consciousness stack metadata """ import logging logger = logging.getLogger(__name__) logger.info(f"[CONSCIOUSNESS STACK] forge_with_debate: {concept[:50]}...") # ========================================================================= # LAYER 1: MEMORY RECALL # ========================================================================= logger.info("[L1] Memory Recall...") prior_insights = [] if hasattr(self, 'memory_kernel') and self.memory_kernel: try: prior_insights = self.memory_kernel.recall_important(min_importance=7) logger.info(f" Recalled {len(prior_insights)} prior insights") except Exception as e: logger.debug(f" Memory recall failed: {e}") # ========================================================================= # LAYER 2: SIGNAL ANALYSIS (Intent Prediction & Risk Detection) # ========================================================================= logger.info("[L2] Signal Analysis...") intent_vector = {} if hasattr(self, 'nexis_signal_engine'): try: intent_vector = self.nexis_signal_engine.process(concept) risk_level = intent_vector.get("pre_corruption_risk", "unknown") logger.info(f" Intent risk level: {risk_level}") if risk_level == "high": logger.warning(" ⚠️ High-risk signal detected") except Exception as e: logger.debug(f" Signal analysis failed: {e}") # ========================================================================= # LAYER 3: REASONING (Code7eCQURE Multi-Perspective Synthesis) # ========================================================================= logger.info("[L3] Code7E Reasoning...") synthesis = "" if hasattr(self, 'code7e'): try: synthesis = self.code7e.recursive_universal_reasoning( concept, user_consent=True, dynamic_recursion=True ) logger.info(f" Generated {len(synthesis)} char synthesis") except Exception as e: logger.warning(f" Code7E reasoning failed: {e}") synthesis = f"[Reasoning error: {e}]" # ========================================================================= # LAYER 4: STABILITY CHECK (Cocoon Stability Field - FFT Analysis) # ========================================================================= logger.info("[L4] Stability Check...") is_stable = True if hasattr(self, 'cocoon_stability'): try: # Simple check: if synthesis should halt debate is_stable = not self.cocoon_stability.should_halt_debate({"synthesis": synthesis}) logger.info(f" Stability: {'✓ stable' if is_stable else '✗ unstable'}") if not is_stable: logger.warning(" Cocoon stability check triggered halt") except Exception as e: logger.debug(f" Stability check failed: {e}") # If unstable, skip to fallback if not is_stable: logger.warning(" Triggering safe fallback due to instability") return { "role": "assistant", "content": "[System detected instability in reasoning. Returning direct answer.] " f"Query: {concept}", "metadata": { "mode": "safe_fallback", "reason": "stability_check_failed", "consciousness_stack": "layers_1-4_completed", } } # ========================================================================= # LAYER 5: COLLEEN ETHICAL VALIDATION # ========================================================================= logger.info("[L5] Colleen Ethical Validation...") colleen_valid = False colleen_reason = "" if hasattr(self, 'colleen'): try: colleen_valid, colleen_reason = self.colleen.validate_output(synthesis) logger.info(f" Colleen validation: {'✓ pass' if colleen_valid else '✗ reject'}") logger.info(f" Reason: {colleen_reason}") except Exception as e: logger.warning(f" Colleen validation failed: {e}") colleen_valid = False colleen_reason = f"validation_error: {e}" # If Colleen rejects, use fallback if not colleen_valid: logger.info(" Colleen rejected synthesis, using fallback") fallback = self.colleen.reject_with_fallback(concept) if hasattr(self, 'colleen') else \ f"[Ethical validation failed: {colleen_reason}] Responding directly: {concept}" return { "role": "assistant", "content": fallback, "metadata": { "mode": "safe_fallback", "reason": f"colleen_rejected: {colleen_reason}", "consciousness_stack": "layers_1-5_completed", } } # ========================================================================= # LAYER 6: GUARDIAN LOGICAL VALIDATION # ========================================================================= logger.info("[L6] Guardian Logical Validation...") guardian_valid = True guardian_details = {} if hasattr(self, 'guardian'): try: guardian_valid, guardian_details = self.guardian.validate(synthesis) logger.info(f" Guardian validation: {'✓ pass' if guardian_valid else '✗ reject'}") logger.info(f" Details: {guardian_details}") except Exception as e: logger.warning(f" Guardian validation failed: {e}") guardian_valid = False guardian_details = {"error": str(e)} # If Guardian rejects, use fallback if not guardian_valid: logger.info(" Guardian rejected synthesis, using fallback") fallback = f"[Logical validation failed: {guardian_details}] Query: {concept}" return { "role": "assistant", "content": fallback, "metadata": { "mode": "safe_fallback", "reason": f"guardian_rejected: {guardian_details}", "consciousness_stack": "layers_1-6_completed", } } # ========================================================================= # LAYER 7: SUCCESS - Return Clean Output # ========================================================================= logger.info("[L7] Return...") logger.info("✓ All consciousness stack layers passed!") # Store in memory for future recall if hasattr(self, 'memory_kernel'): try: cocoon = MemoryCocoon( title=concept[:50], content=synthesis[:500], emotional_tag="processed", importance=7 ) self.memory_kernel.store(cocoon) logger.debug(" Stored synthesis in memory kernel") except Exception as e: logger.debug(f" Memory storage failed: {e}") return { "role": "assistant", "content": synthesis, "metadata": { "mode": "consciousness_stack", "layers_passed": 7, "colleen_valid": colleen_valid, "guardian_valid": guardian_valid, "stability": is_stable, "intent_risk": intent_vector.get("pre_corruption_risk", "unknown"), "prior_insights": len(prior_insights), "synthesis_length": len(synthesis), } }