Adriano
9c53995f23
- Tier S → google/gemini-3-flash-preview ($0.50/$3.00) - Tier A/B → deepseek/deepseek-v4-flash ($0.14/$0.28) - Tier C → qwen/qwen3-235b-a22b-2507 ($0.071/$0.10) — Phase 2 target - Tier D → openai/gpt-oss-20b ($0.03/$0.14) Aggiornato cost_tracker con prezzi reali per tier. Defaults config.py ora rispecchiano .env corrente per evitare divergenze dead-code. Tier S/A/B/D restano cablati ma non ancora invocati nel loop Phase 2 (solo Hypothesis tier C attivo). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
25 lines
894 B
Bash
25 lines
894 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/qwen3-235b-a22b-2507
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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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