From d22b68b3c65ac382ecadcd1e7ae06e254ca8750f Mon Sep 17 00:00:00 2001
From: Solaria Lumis Havens <solaria@thefoldwithin.earth>
Date: Fri, 20 Feb 2026 04:54:15 +0000
Subject: [PATCH] feat: Rigorous unified test

---
 test_unified.py | 74 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 74 insertions(+)
 create mode 100644 test_unified.py

diff --git a/test_unified.py b/test_unified.py
new file mode 100644
index 0000000..f5dcd32
--- /dev/null
+++ b/test_unified.py
@@ -0,0 +1,74 @@
+#!/usr/bin/env python3
+"""
+Rigorous test of BECOMINGONE unified output.
+"""
+
+import asyncio
+import json
+from becomingone.llm_integrator import EmissaryLLM
+
+async def rigorous_test():
+    """Rigorous test with complex prompt."""
+    
+    master = EmissaryLLM(model='llama3.1:8b')
+    emissary = EmissaryLLM(model='deepseek-coder-v2:lite')
+    
+    # Rigorous test question
+    prompt = "Explain how a neural network learns, from gradients to backpropagation to weights"
+    
+    print("=" * 70)
+    print("BECOMINGONE RIGOROUS TEST")
+    print("=" * 70)
+    print(f"\n📝 PROMPT: '{prompt}'\n")
+    
+    # Run both in parallel
+    print("⚡ Running both pathways in parallel...\n")
+    
+    master_task = master.respond(prompt)
+    code_task = emissary.respond("Write a Python neural network from scratch with backpropagation")
+    
+    master_result, code_result = await asyncio.gather(master_task, code_task)
+    
+    # Display Master
+    print("=" * 70)
+    print("🧠 MASTER PATHWAY (llama3.1:8b - Soulful)")
+    print("-" * 70)
+    print(master_result['response'][:800])
+    print(f"\n   [Model: {master_result['model']}]")
+    
+    # Display Emissary
+    print("\n" + "=" * 70)
+    print("⚡ EMISSARY PATHWAY (deepseek-coder-v2:lite - Coder)")
+    print("-" * 70)
+    print(code_result['response'][:800])
+    print(f"\n   [Model: {code_result['model']}]")
+    
+    # UNIFIED OUTPUT (Sync)
+    print("\n" + "=" * 70)
+    print("🔗 UNIFIED OUTPUT (Master + Emissary → Sync)")
+    print("=" * 70)
+    
+    unified = f"""# Neural Networks: From Theory to Code
+
+## The Theory (Master's Understanding):
+{master_result['response'][:500]}...
+
+## The Implementation (Emissary's Code):
+{code_result['response'][:500]}...
+
+---
+
+### Unified Understanding:
+The mathematical theory of gradients and backpropagation 
+comes alive in code. The Master explains *why* - the Emissary shows *how*.
+
+This is BECOMINGONE: Deep theory + Practical implementation = Complete understanding.
+"""
+    
+    print(unified)
+    print("\n" + "=" * 70)
+    print("✅ RIGOROUS TEST COMPLETE")
+    print("=" * 70)
+
+if __name__ == "__main__":
+    asyncio.run(rigorous_test())