"""Configuration for Deep Research MCP Server."""

import os
from dotenv import load_dotenv

load_dotenv()

# OpenAI API Key (required)
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")

# Hardcoded fallback model (cheaper/faster option)
DEFAULT_MODEL = "o4-mini-deep-research-2025-06-26"

# Available models for reference
AVAILABLE_MODELS = [
    "o4-mini-deep-research-2025-06-26",  # Faster, cheaper (DEFAULT)
    "o3-deep-research-2025-06-26",        # Thorough, ~$1+ per query
]

# Deep Research Model - configurable via Docker env, falls back to hardcoded default
DEEP_RESEARCH_MODEL = os.getenv("DEEP_RESEARCH_MODEL") or DEFAULT_MODEL

# FastAPI service configuration
FASTAPI_HOST = os.getenv("DEEP_RESEARCH_HOST", "0.0.0.0")
FASTAPI_PORT = int(os.getenv("DEEP_RESEARCH_PORT", "8002"))

# Polling configuration
POLL_INTERVAL_SECONDS = float(os.getenv("DEEP_RESEARCH_POLL_INTERVAL", "5.0"))
MAX_WAIT_MINUTES = int(os.getenv("DEEP_RESEARCH_MAX_WAIT", "15"))