Files
Multi_Swarm_Coevolutive/scripts/run_phase1.py
T
Adriano 4dad8be36b refactor(llm): route all tiers via OpenRouter, drop Anthropic SDK
Tutti i tier (S/A/B/C/D) ora passano per OpenRouter via OpenAI SDK.
Modelli Anthropic raggiungibili via prefisso `anthropic/...`.

- pyproject: rimosso `anthropic>=0.39` da deps + uv.lock
- config: rimosso `anthropic_api_key` field
- LLMClient: dispatch unico, single client OpenAI con base_url OpenRouter
- defaults S/A/B → `anthropic/claude-{opus-4-7,sonnet-4-6}`
- retry exceptions: solo openai.* (drop anthropic.*)
- test rinominati e adattati: tier S/A/B mockano OpenAI con prefisso `anthropic/`
- rimosso test `tier_S_without_anthropic_key_raises` (non più rilevante)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 09:39:23 +02:00

77 lines
2.6 KiB
Python

from __future__ import annotations
import argparse
from datetime import datetime
from multi_swarm.config import load_settings
from multi_swarm.data.ohlcv_loader import OHLCVLoader, OHLCVRequest
from multi_swarm.genome.hypothesis import ModelTier
from multi_swarm.llm.client import LLMClient
from multi_swarm.orchestrator.run import RunConfig, run_phase1
def parse_args() -> argparse.Namespace:
p = argparse.ArgumentParser(description="Multi-Swarm Phase 1 runner")
p.add_argument("--name", default="phase1-spike-001")
p.add_argument("--population-size", type=int, default=20)
p.add_argument("--n-generations", type=int, default=10)
p.add_argument("--elite-k", type=int, default=2)
p.add_argument("--tournament-k", type=int, default=3)
p.add_argument("--p-crossover", type=float, default=0.5)
p.add_argument("--seed", type=int, default=42)
p.add_argument("--symbol", default="BTC/USDT")
p.add_argument("--timeframe", default="1h")
p.add_argument("--start", default="2024-01-01T00:00:00+00:00")
p.add_argument("--end", default="2026-01-01T00:00:00+00:00")
p.add_argument("--fees-bp", type=float, default=5.0)
p.add_argument("--n-trials-dsr", type=int, default=50)
return p.parse_args()
def main() -> None:
args = parse_args()
settings = load_settings()
loader = OHLCVLoader(cache_dir=settings.series_dir)
req = OHLCVRequest(
symbol=args.symbol,
timeframe=args.timeframe,
start=datetime.fromisoformat(args.start),
end=datetime.fromisoformat(args.end),
)
ohlcv = loader.load(req)
print(f"OHLCV loaded: {len(ohlcv)} bars from {ohlcv.index[0]} to {ohlcv.index[-1]}")
llm = LLMClient(
openrouter_api_key=settings.openrouter_api_key.get_secret_value(),
model_tier_s=settings.llm_model_tier_s,
model_tier_a=settings.llm_model_tier_a,
model_tier_b=settings.llm_model_tier_b,
model_tier_c=settings.llm_model_tier_c,
model_tier_d=settings.llm_model_tier_d,
openrouter_base_url=settings.openrouter_base_url,
)
cfg = RunConfig(
run_name=args.name,
population_size=args.population_size,
n_generations=args.n_generations,
elite_k=args.elite_k,
tournament_k=args.tournament_k,
p_crossover=args.p_crossover,
seed=args.seed,
model_tier=ModelTier.C,
symbol=args.symbol,
timeframe=args.timeframe,
fees_bp=args.fees_bp,
n_trials_dsr=args.n_trials_dsr,
db_path=settings.db_path,
)
run_id = run_phase1(cfg, ohlcv=ohlcv, llm=llm)
print(f"Run completed: {run_id}")
if __name__ == "__main__":
main()