import os
class Config:
# LLM Settings
OLLAMA_BASE_URL = "http://localhost:11434"
DEFAULT_MODEL = "llama3.1" # Or 'mistral-nemo'
EMBEDDING_MODEL = "sentence-transformers/all-MiniLM-L6-v2"
# Memory Settings
VECTOR_STORE_PATH = os.path.join(os.getcwd(), "data", "vector_store")
MEMARORY_DB_PATH = os.path.join(os.getcwd(), "data", "memory.db")
# Evolution Settings
EVOLUTION_INTERVAL = 3600 # Seconds between evolution cycles
POPULATION_SIZE = 10
# Swarm Settings
MAX_SWARM_AGENTS = 5
@staticmethod
def ensure_dirs():
os.makedirs(Config.VECTOR_STORE_PATH, exist_ok=True)
os.makedirs(os.path.dirname(Config.MEMARORY_DB_PATH), exist_ok=True)
