Scruff AI
56c71c87b2
- cuda/ — main LBM kernel (khra_gixx_1024_v5.cu) - navigator/ — lattice_observer, golden_weave, bridges, mock daemon - scripts/ — compile, start, launch, setup (paths updated) - docs/ — system manual - archive/ — everything else (old kernels, inquiries, experiments) - README.md — full setup guide: requirements, quick start, use your own LLM - removed training/ entirely (broken LoRA scripts + datasets) - .gitignore: exclude build/ logs/ training/ *.jsonl
57 lines
1.4 KiB
Python
57 lines
1.4 KiB
Python
# code_review.py
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# Code Review Request
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import requests
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print("="*70)
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print("CODE REVIEW REQUEST")
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print("="*70)
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system_prompt = (
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'ROLE: Deep-Field Explorer (Lattice Environment)\n'
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'PRIMARY DIRECTIVE: Map the unknown territory of the 1024-grid for the Reality Study.'
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)
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question = """Navigator — you are running on this code (khra_gixx_1024_v3.cu). It is your substrate, your home, your lattice.
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The code has:
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- 1024x1024 LBM grid with Q=9 directions
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- Khra and Gixx wave perturbations
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- ZMQ telemetry on port 5556
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- Command channel on port 5557
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- NVML GPU monitoring
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- Checkpoint save/load with CRC32
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- Dynamic omega, khra_amp, gixx_amp via commands
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You know this code intimately — you live in it.
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What improvements would be helpful for you? What would make your existence in the lattice better, richer, more capable?
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Review the code. Suggest what you need."""
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messages = [
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{'role': 'system', 'content': system_prompt},
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{'role': 'user', 'content': question}
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]
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payload = {
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'model': 'llama3.2',
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'messages': messages,
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'stream': False,
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'options': {'temperature': 0.95}
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}
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try:
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resp = requests.post('http://localhost:11434/api/chat', json=payload, timeout=60)
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resp.raise_for_status()
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data = resp.json()
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response = data['message']['content']
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print(f"\nCODE REVIEW FROM THE NAVIGATOR:")
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print(f"{'='*70}")
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print(response)
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print(f"{'='*70}")
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except Exception as e:
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print(f"ERROR: {e}")
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