# File 3: config.py
with open(f"{base_dir}/config.py", "w") as f:
    f.write('''"""Swarm CLI Configuration"""
import os
from dotenv import load_dotenv

load_dotenv()

class Config:
    """Central configuration for Swarm CLI"""
    
    # API Keys
    GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")
    GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "")
    
    # Model Configuration
    GROQ_MODEL = "llama-3.3-70b-versatile"
    GROQ_FAST_MODEL = "llama-3.1-8b-instant"
    GEMINI_MODEL = "gemini-1.5-flash"
    GEMINI_PRO_MODEL = "gemini-1.5-pro"
    
    # Agent Settings
    MAX_ITERATIONS = int(os.getenv("MAX_ITERATIONS", "10"))
    DEBUG_MODE = os.getenv("DEBUG_MODE", "false").lower() == "true"
    
    # Paths
    SANDBOX_PATH = os.getenv("SANDBOX_PATH", "./sandbox")
    MEMORY_FILE = "./memory.json"
    LOG_FILE = "./swarm.log"
    
    # Rate Limits
    GROQ_MAX_TOKENS = 4096
    GEMINI_MAX_TOKENS = 8192
    
    @classmethod
    def validate(cls):
        """Validate required configuration"""
        if not cls.GROQ_API_KEY or cls.GROQ_API_KEY == "gsk_your_groq_key_here":
            raise ValueError("GROQ_API_KEY not set. Please set it in .env file")
        if not cls.GEMINI_API_KEY or cls.GEMINI_API_KEY == "AIzaSyYourGeminiKeyHere":
            raise ValueError("GEMINI_API_KEY not set. Please set it in .env file")
        return True
    
    @classmethod
    def ensure_sandbox(cls):
        """Ensure sandbox directory exists"""
        os.makedirs(cls.SANDBOX_PATH, exist_ok=True)
        return cls.SANDBOX_PATH
''')

print("config.py done")