Upload llm_snare.py
Browse files- llm_snare.py +49 -0
llm_snare.py
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#!/usr/bin/env python3
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import urllib.request, json
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from datetime import datetime, timezone
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url = 'https://llmsnare-api.mistermorph.com/v1/timelines?limit=96'
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data = json.loads(urllib.request.urlopen(url, timeout=60).read())
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NAMES = {'deepseek_v4_pro':'DeepSeek V4 Pro','deepseek_v4_flash':'DeepSeek V4 Flash','claude_opus_4_6':'Claude Opus 4.6','claude_opus_4_7':'Claude Opus 4.7','claude_sonnet_4_6':'Claude Sonnet 4.6','openai_gpt_5_5':'GPT-5.5','openai_gpt_5_4':'GPT-5.4','minimax_m_2_7':'MiniMax M2.7','minimax_m_2_5':'MiniMax M2.5','glm_5_turbo':'GLM-5 Turbo','glm_5_1':'GLM-5.1','grok_4_1_fast_reasoning':'Grok 4.1 Fast','grok_4_2_reasoning':'Grok 4.2','gemini_3_5_flash':'Gemini 3.5 Flash','gemini_3_1_pro_preview':'Gemini 3.1 Pro','gemini_3_1_flash_lite':'Gemini 3.1 Flash Lite','gemini_2_5_flash':'Gemini 2.5 Flash','kimi_k_2_5':'Kimi K2.5','kimi_k_2_6':'Kimi K2.6','openrouter_qwen_3_5_27b':'Qwen 3.5 27B','openrouter_qwen_3_6_plus':'Qwen 3.6 Plus','openrouter_gemma_4_31b':'Gemma 4 31B','openrouter_mimo_v2_pro':'Mimo V2 Pro'}
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rows = []
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for pid, pdata in data.get('profiles', {}).items():
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entries = pdata.get('entries', [])
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name = NAMES.get(pid, pid)
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points = sorted([(e['timestamp'], e['normalized_score'], e.get('raw_score',0), e.get('max_score',0)) for e in entries], key=lambda x: x[0])
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scores = [p[1] for p in points]
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raw = [p[2] for p in points]
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maxs = [p[3] for p in points]
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n = len(scores)
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if n < 4: continue
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avg8 = round(sum(scores[-8:])/8,1)
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prev8 = scores[-16:-8] if n>=16 else scores[:max(1,n-8)]
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avg_prev8 = round(sum(prev8)/len(prev8),1) if prev8 else avg8
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change = round(avg8-avg_prev8,1)
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latest = round(scores[-1],1)
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rows.append({'name':name,'avg8':avg8,'change':change,'latest':latest,'raw':int(raw[-1]),'max':int(maxs[-1])})
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rows.sort(key=lambda x: -x['avg8'])
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now = datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')
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lines = [f'π **LLM Snare Arena ηζ§**',f'π
{now}','','**π₯ Top 5οΌθΏζεεοΌοΌ**']
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for i,r in enumerate(rows[:5],1):
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lines.append(f'{i}. {r["name"]} β {r["avg8"]}')
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lines.append('')
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lines.append('**π ε«εΊ 3οΌ**')
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for r in rows[-3:]:
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lines.append(f'- {r["name"]} β {r["avg8"]}')
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lines.append('')
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lines.append('**π θΏζεεοΌε8 vs εε8οΌοΌ**')
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changes = sorted(rows, key=lambda x: -abs(x['change']))[:6]
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for r in changes:
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arrow = 'β' if r['change']>0 else 'β'
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lines.append(f'- {r["name"]} {arrow} {abs(r["change"])}')
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lines.append('')
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lines.append('**π ζζ°δΈζ¬‘εΎεοΌ**')
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for r in rows:
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icon = 'β
' if r['latest']>=50 else 'β'
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lines.append(f'{icon} {r["name"]} β {r["latest"]} ({r["raw"]}/{r["max"]})')
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print('\n'.join(lines))
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