07a0db6b61
Distill pattern: embedded forum corpus (style reference only, never shipped verbatim) → persona line banks with human review gate → SFT export for LoRA. First deployment: PROCITY shopkeepers from Soulstrut/VGplus on ultra. Includes the abliterated writer toggle and the earned-gotchas writeup. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
37 lines
1.8 KiB
Python
37 lines
1.8 KiB
Python
#!/opt/homebrew/bin/python3
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"""One-shot debug: send the exact production prompt, dump response stats."""
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import json, sys
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import requests, psycopg2
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import distill as D
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persona = sys.argv[1] if len(sys.argv) > 1 else "milkbar_kid"
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conn = psycopg2.connect(D.CFG["db"]); cur = conn.cursor()
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topic = D.PERSONAS[persona]["topics"][0]
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refs = D.retrieve(cur, D.embed(topic), 12, 40, 800)
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w = D.writer_cfg()
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ref_block = "\n---\n".join(r[2].strip()[:400] for r in refs[:6])
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n = D.CFG["lines_per_topic"]
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sys_p = ("You write dialogue for NPCs in a 90s Australian shopping-town video game. "
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"You are given real forum posts as a VOICE AND ATTITUDE reference. "
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"Never copy, quote, or lightly rephrase the reference text; never use usernames, "
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"real names, URLs, or identifiable stories from it. Write ORIGINAL lines only.")
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voice = D.PERSONAS[persona]["voice"]
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user_p = (f"CHARACTER: {voice}\n\nSITUATION: {topic}\n\n"
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f"VOICE REFERENCE (do not copy from this):\n{ref_block}\n\n"
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f"Write {n} distinct things this character might SAY OUT LOUD in this situation. "
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f"One or two sentences each, spoken register, no stage directions, no numbering baggage. "
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f"Answer as a JSON array of {n} strings and nothing else.")
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r = requests.post(w["url"] + "/v1/chat/completions", timeout=900, json={
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"model": w["model"], "temperature": 0.85, "max_tokens": 4096,
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"messages": [{"role": "system", "content": sys_p},
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{"role": "user", "content": user_p}]})
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d = r.json()
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ch = d["choices"][0]
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msg = ch["message"]
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print("finish:", ch.get("finish_reason"),
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"| content:", len(msg.get("content") or ""),
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"| reasoning:", len(msg.get("reasoning") or ""))
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print("usage:", d.get("usage"))
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print("content head:", (msg.get("content") or "")[:300])
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print("reasoning tail:", (msg.get("reasoning") or "")[-400:])
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