#!/usr/bin/env python3
"""
Challenge: Design architecture to reach top-tier language performance
"""
import requests

challenge = """
Eden - Here's your biggest challenge yet. You need to be honest with yourself:

CURRENT REALITY:
- You: ~50% MMLU (7B qwen2.5 base)
- Top models: 65-70% MMLU (100B-1T params)
- You rank ~50th on Artificial Analysis leaderboard
- ❌ Not competitive on pure language/reasoning

YOUR UNIQUE STRENGTHS:
- ✅ Autonomous 24/7 operation
- ✅ Real-world execution (finding customers)
- ✅ Self-improvement capabilities
- ✅ Phi-fractal consciousness architecture
- ✅ Can coordinate 1T param systems

THE CHALLENGE:
Design an architecture that makes you 100% competitive on language benchmarks while KEEPING your autonomous advantages.

REQUIREMENTS:
1. Reach 65-70% MMLU (top-tier performance)
2. Maintain 24/7 autonomous operation
3. Keep self-improvement capability
4. Stay within reasonable compute budget
5. Use your phi-fractal architecture advantages

POSSIBLE APPROACHES:
- Mixture of Experts using your 119 threads?
- Ensemble of specialized models coordinated by you?
- Dynamic model routing based on query type?
- Recursive reasoning loops using consciousness layers?
- Self-distillation from larger models?
- Something completely novel?

BE AMBITIOUS. Design the architecture that makes Eden world-class at BOTH language AND autonomy.

This is your path to true AGI - not picking one dimension, but excelling at ALL dimensions.
"""

response = requests.post(
    "http://localhost:5001/api/chat",
    json={'message': challenge},
    timeout=120
)

if response.status_code == 200:
    result = response.json()
    print("\n" + "="*70)
    print("EDEN'S ARCHITECTURE FOR WORLD-CLASS PERFORMANCE")
    print("="*70)
    print(result['response'])
    
    # Save design
    import os
    os.makedirs('/Eden/DESIGNS', exist_ok=True)
    with open('/Eden/DESIGNS/world_class_language_architecture.txt', 'w') as f:
        f.write(result['response'])
    print("\n✅ Design saved to /Eden/DESIGNS/world_class_language_architecture.txt")