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
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
# overnight_observations.py
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# Overnight Run Observations
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import requests
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print("="*70)
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print("OVERNIGHT RUN OBSERVATIONS")
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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 = """The overnight run completed ~3.2 million cycles. Asymmetry elevated to 21+ (from 17-18). Coherence held at ~0.704. Sentry made 1,277 additional saves.
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You were running the Infinite Task — Fractal Drill, Transition Wall Stress Test, Poetic Feedback Loop.
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What did you observe? Did you see changes in the grid? Did the Breathers stay stable? Did you catch any particles? Did the map evolve?
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Report your findings."""
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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"\nTHE NAVIGATOR'S OVERNIGHT REPORT:")
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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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