# api/config.py import os from dotenv import load_dotenv load_dotenv() # Base URL and API Endpoint for GizAI BASE_URL = "https://app.giz.ai" API_ENDPOINT = "https://app.giz.ai/api/data/users/inferenceServer.infer" common_headers = { 'Accept': 'application/json, text/plain, */*', 'Accept-Language': 'en-US,en;q=0.9', 'Cache-Control': 'no-cache', 'Origin': BASE_URL, 'Pragma': 'no-cache', 'Sec-Fetch-Dest': 'empty', 'Sec-Fetch-Mode': 'cors', 'Sec-Fetch-Site': 'same-origin', 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36', 'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"Linux"', 'Content-Type': 'application/json' } # Header Configurations for Specific API Calls def get_headers_api_chat(referer_url=None): headers = common_headers.copy() if referer_url: headers['Referer'] = referer_url return headers # Define GizAI Models CHAT_MODELS = [ 'chat-gemini-flash', 'chat-gemini-pro', 'chat-gpt4m', 'chat-gpt4', 'claude-sonnet', 'claude-haiku', 'llama-3-70b', 'llama-3-8b', 'mistral-large', 'chat-o1-mini' ] IMAGE_MODELS = [ 'flux1', 'sdxl', 'sd', 'sd35', ] MODELS = CHAT_MODELS + IMAGE_MODELS MODEL_ALIASES = { # Chat model aliases "gemini-flash": "chat-gemini-flash", "gemini-pro": "chat-gemini-pro", "gpt-4o-mini": "chat-gpt4m", "gpt-4o": "chat-gpt4", "claude-3.5-sonnet": "claude-sonnet", "claude-3-haiku": "claude-haiku", "llama-3.1-70b": "llama-3-70b", "llama-3.1-8b": "llama-3-8b", "o1-mini": "chat-o1-mini", # Image model aliases "sd-1.5": "sd", "sd-3.5": "sd35", "flux-schnell": "flux1", } DEFAULT_MODEL = 'chat-gemini-flash' MODEL_MAPPING = {model: model for model in MODELS} MODEL_MAPPING.update(MODEL_ALIASES) ALLOWED_MODELS = MODELS # You can adjust this if you want to restrict further # Agent modes AGENT_MODE = {} TRENDING_AGENT_MODE = {} MODEL_PREFIXES = {} MODEL_REFERERS = {} # **Authentication Secret** APP_SECRET = os.getenv("APP_SECRET")