g4f/Provider/ChatGpt.py

from __future__ import annotations

from ..typing import Messages, CreateResult
from ..providers.base_provider import AbstractProvider, ProviderModelMixin

import time
import uuid
import random
import json
from requests import Session

from .openai.new import (
    get_config,
    get_answer_token,
    process_turnstile,
    get_requirements_token
)

def format_conversation(messages: list):
    conversation = []
    
    for message in messages:
        conversation.append({
            'id': str(uuid.uuid4()),
            'author': {
                'role': message['role'],
            },
            'content': {
                'content_type': 'text',
                'parts': [
                    message['content'],
                ],
            },
            'metadata': {
                'serialization_metadata': {
                    'custom_symbol_offsets': [],
                },
            },
            'create_time': round(time.time(), 3),
        })
    
    return conversation

def init_session(user_agent):
    session = Session()

    cookies = {
        '_dd_s': '',
    }

    headers = {
        'accept': '*/*',
        'accept-language': 'en-US,en;q=0.8',
        'cache-control': 'no-cache',
        'pragma': 'no-cache',
        'priority': 'u=0, i',
        'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"',
        'sec-ch-ua-arch': '"arm"',
        'sec-ch-ua-bitness': '"64"',
        'sec-ch-ua-mobile': '?0',
        'sec-ch-ua-model': '""',
        'sec-ch-ua-platform': '"macOS"',
        'sec-ch-ua-platform-version': '"14.4.0"',
        'sec-fetch-dest': 'document',
        'sec-fetch-mode': 'navigate',
        'sec-fetch-site': 'none',
        'sec-fetch-user': '?1',
        'upgrade-insecure-requests': '1',
        'user-agent': user_agent,
    }

    session.get('https://chatgpt.com/', cookies=cookies, headers=headers)
    
    return session

class ChatGpt(AbstractProvider, ProviderModelMixin):
    label = "ChatGpt"
    url = "https://chatgpt.com"
    working = True
    supports_message_history = True
    supports_system_message = True
    supports_stream = True
    default_model = 'auto'
    models = [
        default_model,
        'gpt-3.5-turbo',
        'gpt-4o',
        'gpt-4o-mini',
        'gpt-4',
        'gpt-4-turbo',
        'chatgpt-4o-latest',
    ]
    
    model_aliases = {
        "gpt-4o": "chatgpt-4o-latest",
    }
    
    @classmethod
    def get_model(cls, model: str) -> str:
        if model in cls.models:
            return model
        elif model in cls.model_aliases:
            return cls.model_aliases[model]
        else:
            return cls.default_model

    @classmethod
    def create_completion(
        cls,
        model: str,
        messages: Messages,
        stream: bool,
        **kwargs
    ) -> CreateResult:
        model = cls.get_model(model)
        if model not in cls.models:
            raise ValueError(f"Model '{model}' is not available. Available models: {', '.join(cls.models)}")

        
        user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36'
        session: Session = init_session(user_agent)
        
        config = get_config(user_agent)
        pow_req = get_requirements_token(config)
        headers = { 
            'accept': '*/*',
            'accept-language': 'en-US,en;q=0.8',
            'content-type': 'application/json',
            'oai-device-id': f'{uuid.uuid4()}',
            'oai-language': 'en-US',
            'origin': 'https://chatgpt.com',
            'priority': 'u=1, i',
            'referer': 'https://chatgpt.com/',
            'sec-ch-ua-mobile': '?0',
            'sec-ch-ua-platform': '"Linux"',
            'sec-fetch-dest': 'empty',
            'sec-fetch-mode': 'cors',
            'sec-fetch-site': 'same-origin',
            'sec-gpc': '1',
            'user-agent': f'{user_agent}'
        }
        
        response = session.post('https://chatgpt.com/backend-anon/sentinel/chat-requirements',
                                 headers=headers, json={'p': pow_req})

        if response.status_code != 200:
            return

        response_data = response.json()
        if "detail" in response_data and "Unusual activity" in response_data["detail"]:
            return
        
        turnstile = response_data.get('turnstile', {})
        turnstile_required = turnstile.get('required')
        pow_conf = response_data.get('proofofwork', {})

        if turnstile_required:
            turnstile_dx = turnstile.get('dx')
            turnstile_token = process_turnstile(turnstile_dx, pow_req)
        
        headers = {**headers, 
                   'openai-sentinel-turnstile-token': turnstile_token,
                   'openai-sentinel-chat-requirements-token': response_data.get('token'),
                   'openai-sentinel-proof-token': get_answer_token(
                       pow_conf.get('seed'), pow_conf.get('difficulty'), config
                   )}

        json_data = {
            'action': 'next',
            'messages': format_conversation(messages),
            'parent_message_id': str(uuid.uuid4()),
            'model': model,
            'timezone_offset_min': -120,
            'suggestions': [
                'Can you help me create a personalized morning routine that would help increase my productivity throughout the day? Start by asking me about my current habits and what activities energize me in the morning.',
                'Could you help me plan a relaxing day that focuses on activities for rejuvenation? To start, can you ask me what my favorite forms of relaxation are?',
                'I have a photoshoot tomorrow. Can you recommend me some colors and outfit options that will look good on camera?',
                'Make up a 5-sentence story about "Sharky", a tooth-brushing shark superhero. Make each sentence a bullet point.',
            ],
            'history_and_training_disabled': False,
            'conversation_mode': {
                'kind': 'primary_assistant',
            },
            'force_paragen': False,
            'force_paragen_model_slug': '',
            'force_nulligen': False,
            'force_rate_limit': False,
            'reset_rate_limits': False,
            'websocket_request_id': str(uuid.uuid4()),
            'system_hints': [],
            'force_use_sse': True,
            'conversation_origin': None,
            'client_contextual_info': {
                'is_dark_mode': True,
                'time_since_loaded': random.randint(22, 33),
                'page_height': random.randint(600, 900),
                'page_width': random.randint(500, 800),
                'pixel_ratio': 2,
                'screen_height': random.randint(800, 1200),
                'screen_width': random.randint(1200, 2000),
            },
        }

        time.sleep(2)
        
        response = session.post('https://chatgpt.com/backend-anon/conversation',
                                 headers=headers, json=json_data, stream=True)

        replace = ''
        for line in response.iter_lines():
            if line:
                decoded_line = line.decode()

                if decoded_line.startswith('data:'):
                    json_string = decoded_line[6:].strip()

                    if json_string == '[DONE]':
                        break
                    
                    if json_string:
                        try:
                            data = json.loads(json_string)
                        except json.JSONDecodeError:
                            continue
                        
                        if data.get('message') and data['message'].get('author'):
                            role = data['message']['author'].get('role')
                            if role == 'assistant':
                                tokens = data['message']['content'].get('parts', [])
                                if tokens:
                                    yield tokens[0].replace(replace, '')
                                    replace = tokens[0]