api/config.py

import os
from dotenv import load_dotenv

load_dotenv()

# Base URL and Common Headers for GizAI
BASE_URL = "https://app.giz.ai/assistant/"
common_headers = {
    'Accept': 'application/json, text/plain, */*',
    'Accept-Language': 'en-US,en;q=0.9',
    'Cache-Control': 'no-cache',
    'Connection': 'keep-alive',
    'Content-Type': 'application/json',
    'Origin': 'https://app.giz.ai',
    '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"'
}

# Header Configurations for GizAI API Calls
def get_headers_api_chat(referer_url):
    return {**common_headers, 'Referer': referer_url}

def get_headers_chat(chat_url, next_action, next_router_state_tree):
    return {
        **common_headers,
        'Accept': 'text/x-component',
        'Content-Type': 'text/plain;charset=UTF-8',
        'Referer': chat_url,
        'next-action': next_action,
        'next-router-state-tree': next_router_state_tree,
        'next-url': '/',
    }

# Application Secret for Authentication
APP_SECRET = os.getenv("APP_SECRET")

# Default Model
default_model = 'chat-gemini-flash'

# Supported Chat 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'
]

# Supported Image Models
image_models = [
    'flux1',
    'sdxl',
    'sd',
    'sd35',
]

# Combined Models List
models = [*chat_models, *image_models]

# Model Aliases
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",
}

# Allowed Models with ID and Name
ALLOWED_MODELS = [
    {"id": "chat-gemini-flash", "name": "Chat Gemini Flash"},
    {"id": "chat-gemini-pro", "name": "Chat Gemini Pro"},
    {"id": "chat-gpt4m", "name": "Chat GPT-4m"},
    {"id": "chat-gpt4", "name": "Chat GPT-4"},
    {"id": "claude-sonnet", "name": "Claude Sonnet"},
    {"id": "claude-haiku", "name": "Claude Haiku"},
    {"id": "llama-3-70b", "name": "LLaMA 3-70B"},
    {"id": "llama-3-8b", "name": "LLaMA 3-8B"},
    {"id": "mistral-large", "name": "Mistral Large"},
    {"id": "chat-o1-mini", "name": "Chat O1 Mini"},
    {"id": "flux1", "name": "Flux1"},
    {"id": "sdxl", "name": "SDXL"},
    {"id": "sd", "name": "SD"},
    {"id": "sd35", "name": "SD35"},
]

# Mapping from model IDs to their canonical names
MODEL_MAPPING = {
    "chat-gemini-flash": "chat-gemini-flash",
    "chat-gemini-pro": "chat-gemini-pro",
    "chat-gpt4m": "chat-gpt4m",
    "chat-gpt4": "chat-gpt4",
    "claude-sonnet": "claude-sonnet",
    "claude-haiku": "claude-haiku",
    "llama-3-70b": "llama-3-70b",
    "llama-3-8b": "llama-3-8b",
    "mistral-large": "mistral-large",
    "chat-o1-mini": "chat-o1-mini",
    "flux1": "flux1",
    "sdxl": "sdxl",
    "sd": "sd",
    "sd35": "sd35",
}

# Removed MODEL_PREFIXES, MODEL_REFERERS, and AGENT_MODE as per user instruction