Adriano
8ec45c5c1b
Run controllo phase2-qwen25-control-001 (seed 42, stessa pipeline Phase 2, solo tier C switched) ha dimostrato che qwen-2.5-72b è qualitativamente SUPERIORE a qwen3-235b sul nostro workload: | metrica | qwen3-235b | qwen-2.5-72b | delta | | ----------------- | ---------- | ------------ | ----- | | max fitness | 0.0238 | 0.0311 | +30% | | median > 0 in gen | mai | 4 gen su 10 | -- | | entropy media | 0.199 | 0.85 | 4.3x | | genomi fit > 0 | 5 | 10 | 2x | | parse success | 97.7% | 100% | + | | durata | 50 min | 28 min | 0.56x | | LLM calls | 148 | 90 | 0.61x | | cost USD | 0.0223 | 0.0122 | 0.55x | Controintuitivo: 235B con context 262k era atteso superiore al 72B legacy. In pratica qwen3-235b in tier C produce strategie meno diverse, meno parsabili e meno ottimizzabili dal GA. Ripristinati prezzi cost_tracker tier C a 0.40/0.40 (qwen-2.5-72b). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
25 lines
895 B
Bash
25 lines
895 B
Bash
# Cerbero MCP — VPS endpoint per dati storici reali
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CERBERO_BASE_URL=https://cerbero-mcp.tielogic.xyz
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# NOTE: per dati storici reali Phase 1 (BTC-PERPETUAL Deribit) serve il MAINNET_TOKEN.
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# Il TESTNET_TOKEN punta agli endpoint testnet degli exchange — utile solo per smoke test.
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CERBERO_TESTNET_TOKEN=
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CERBERO_MAINNET_TOKEN=
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CERBERO_BOT_TAG=swarm-poc-phase1
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# LLM provider (single endpoint via OpenRouter — supports anthropic/openai/qwen/llama models)
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OPENROUTER_API_KEY=
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OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
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# Models per tier (override Phase 1 defaults if needed)
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LLM_MODEL_TIER_S=google/gemini-3-flash-preview
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LLM_MODEL_TIER_A=deepseek/deepseek-v4-flash
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LLM_MODEL_TIER_B=deepseek/deepseek-v4-flash
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LLM_MODEL_TIER_C=qwen/qwen-2.5-72b-instruct
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LLM_MODEL_TIER_D=openai/gpt-oss-20b
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# Run config
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RUN_NAME=phase1-spike-001
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DATA_DIR=./data
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SERIES_DIR=./series
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DB_PATH=./runs.db
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