import os

# OpenRouter
OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY", "")
OPENROUTER_BASE_URL = "https://openrouter.ai/api/v1"

# Free models on OpenRouter (verified working 2026-06)
FREE_MODELS = [
    "google/gemma-4-31b-it:free",
    "google/gemma-4-26b-a4b-it:free",
    "nvidia/nemotron-3-super-120b-a12b:free",
    "meta-llama/llama-3.3-70b-instruct:free",
]
DEFAULT_MODEL = FREE_MODELS[0]

# Paid (affordable) open-source models via OpenRouter
PAID_MODELS = [
    "meta-llama/llama-3.1-8b-instruct",
    "google/gemma-4-26b-a4b-it",
    "qwen/qwen3.5-9b",
    "meta-llama/llama-3.3-70b-instruct",
]

# All available models (union)
AVAILABLE_MODELS = FREE_MODELS + PAID_MODELS

# Supported assets
ASSETS = ["BTC/USDT", "ETH/USDT"]
ASSET_YFINANCE_MAP = {
    "BTC/USDT": "BTC-USD",
    "ETH/USDT": "ETH-USD",
}

# Benchmarks
BENCHMARKS = ["A", "B", "C"]

# Portfolio
INITIAL_CAPITAL = 10_000.0
TRADE_FEE = 0.001  # 0.1%

# Rate limiting — paid OpenRouter tier supports 200+ req/min
# 60/min shared across parallel runs → ~15/run when 4 run simultaneously
MAX_REQUESTS_PER_MINUTE = 200
LLM_TIMEOUT = 120
LLM_MAX_RETRIES = 3

# DB
DB_PATH = os.getenv("DB_PATH", "/app/data/benchmark.db")