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>
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
"""Pydantic settings loader for Multi_Swarm_Coevolutive.
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Loads configuration from environment variables and an optional ``.env`` file
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in the project root. Required secrets are validated at instantiation time.
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"""
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from pathlib import Path
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from pydantic import Field, SecretStr
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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extra="ignore",
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case_sensitive=False,
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)
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cerbero_base_url: str = "http://localhost:9000"
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cerbero_testnet_token: SecretStr
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cerbero_mainnet_token: SecretStr | None = None
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cerbero_bot_tag: str = "swarm-poc-phase1"
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openrouter_api_key: SecretStr
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llm_model_tier_s: str = "google/gemini-3-flash-preview"
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llm_model_tier_a: str = "deepseek/deepseek-v4-flash"
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llm_model_tier_b: str = "deepseek/deepseek-v4-flash"
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llm_model_tier_c: str = "qwen/qwen-2.5-72b-instruct"
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llm_model_tier_d: str = "openai/gpt-oss-20b"
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openrouter_base_url: str = "https://openrouter.ai/api/v1"
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run_name: str = "phase1-spike-001"
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data_dir: Path = Field(default=Path("./data"))
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series_dir: Path = Field(default=Path("./series"))
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db_path: Path = Field(default=Path("./runs.db"))
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def load_settings() -> Settings:
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# Required fields are populated from environment / .env, not init kwargs.
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return Settings() # type: ignore[call-arg]
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