config.py

mport os
import google.generativeai as genai

# =====================================================
# CONFIGURATION CENTER
# =====================================================

# --- 1. ZOHO CREDENTIALS (Reused from existing setup) ---
# These credentials are used for the OAuth 2.0 flow to obtain an access token.
# A tool (e.g., authenticate_zoho) will use these to ensure a valid token is available [7, 8].
CLIENT_ID = "1000.SIMKGAO5719K0TQ0QZQ31ZU57RLFNQ"
CLIENT_SECRET = "60b329b4fe51930abee900cba6524ec7332cd67e06"
REFRESH_TOKEN = "1000.fcbd3eb6544c48591ceb462eefe439e1.e6dacb8875fec5fa150596fa44eb9326"
ORGANIZATION_ID = "60058860935"

# --- 2. API ENDPOINTS (Updated for CRM) ---
AUTH_URL = "https://accounts.zoho.in/oauth/v2/token" 

# CHANGE: Targeting Zoho CRM (not Books). Tools must POST to /crm/v2/{Module} [3, 6, 7].
API_BASE = "https://www.zohoapis.in/crm/v2" 
# CRM operations (like create_contact) will use this new base URL [6].

# --- 3. AI SETTINGS (New Gemini Integration) ---
# REMOVE: MODEL_ID = "Qwen/Qwen2.5-1.5B-Instruct" 
# ADD: Gemini API Key as the agent will be driven by Gemini [2, 5, 9].
# The key 'AlzaSyB6Bw5Hr-FbiLK2hMm6cnSH193ZBpXTCE8' is derived from your provided API key details [10, 11].
GEMINI_API_KEY = "AlzaSyB6Bw5Hr-FbiLK2hMm6cnSH193ZBpXTCE8"
os.environ['GOOGLE_API_KEY'] = GEMINI_API_KEY

def configure_gemini():
    """Initializes the Gemini client using the API key."""
    # We use the google-generativeai library to call Gemini via API key [4, 12].
    try:
        genai.configure(api_key=os.environ['GOOGLE_API_KEY'])
        print("Gemini API configured successfully.")
    except Exception as e:
        print(f"Error configuring Gemini API: {e}")