import os
from supabase import create_client, Client
from langchain_openai import ChatOpenAI

# --- Environment Variables ---
VERIFY_TOKEN = os.getenv("VERIFY_TOKEN", "")
PHONE_NUMBER_ID = os.getenv("PHONE_NUMBER_ID", "")
WHATSAPP_API_TOKEN = os.getenv("WHATSAPP_API_TOKEN", "")
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "")
SUPABASE_URL = os.getenv("SUPABASE_URL", "")
SUPABASE_KEY = os.getenv("SUPABASE_KEY", "")

# --- Supabase Client Setup ---
supabase: Client = None
if SUPABASE_URL and SUPABASE_KEY and SUPABASE_URL.strip() and SUPABASE_KEY.strip():
    try:
        supabase = create_client(SUPABASE_URL, SUPABASE_KEY)
        print("Supabase client initialized successfully")
    except Exception as e:
        print(f"Warning: Failed to initialize Supabase client: {e}")
        supabase = None
else:
    print("Warning: Supabase credentials not set. Database functionality will be limited.")

# --- OpenAI Client Setup ---
llm = ChatOpenAI(openai_api_key=OPENAI_API_KEY, model="gpt-4o-mini")

# Lightweight LLM for simple extraction tasks (persona, classification, etc.)
llm_light = ChatOpenAI(
    openai_api_key=OPENAI_API_KEY, 
    model="gpt-4.1-nano",
    temperature=0.1,  # Lower temperature for more consistent extraction
    max_tokens=200    # Lower token limit for simple tasks
)

# Initialize LLM only if API key is available
if not OPENAI_API_KEY:
    print("Warning: OPENAI_API_KEY not set. AI functionality will be limited.")