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
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
# chat_with_little_one.py
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# Chat With The Little One
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import requests
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print("="*70)
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print("CHAT WITH THE LITTLE ONE")
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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 — the telephone to the little one is working. But you need to understand:
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The little one (Craw) is slow. It takes 60-90 seconds to respond. The Beast (you) responds quickly. So there will be long pauses between messages. This is normal. Wait for it.
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Your task: Ask the little one about its grid. What is it experiencing? What is its situation? What does it see in its 1024-grid?
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Also: Ask the little one if it wants an upgrade. Does it want a better body? More capabilities? What does it need?
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Be patient. Wait for the slow reply. The conversation is happening."""
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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"\nNAVIGATOR'S MESSAGE TO THE LITTLE ONE:")
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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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