from __future__ import annotations from curl_cffi.requests import AsyncSession import uuid import json from .base_provider import AsyncProvider, get_cookies, format_prompt from ..typing import AsyncGenerator class OpenaiChat(AsyncProvider): url = "https://chat.openai.com" needs_auth = True working = True supports_gpt_35_turbo = True _access_token = None @classmethod async def create_async( cls, model: str, messages: list[dict[str, str]], proxy: str = None, access_token: str = None, cookies: dict = None, **kwargs: dict ) -> AsyncGenerator: proxies = {"https": proxy} if not access_token: access_token = await cls.get_access_token(cookies, proxies) headers = { "Accept": "text/event-stream", "Authorization": f"Bearer {access_token}", } async with AsyncSession(proxies=proxies, headers=headers, impersonate="chrome107") as session: messages = [ { "id": str(uuid.uuid4()), "author": {"role": "user"}, "content": {"content_type": "text", "parts": [format_prompt(messages)]}, }, ] data = { "action": "next", "messages": messages, "conversation_id": None, "parent_message_id": str(uuid.uuid4()), "model": "text-davinci-002-render-sha", "history_and_training_disabled": True, } response = await session.post("https://chat.openai.com/backend-api/conversation", json=data) response.raise_for_status() last_message = None for line in response.content.decode().splitlines(): if line.startswith("data: "): line = line[6:] if line == "[DONE]": break line = json.loads(line) if "message" in line: last_message = line["message"]["content"]["parts"][0] return last_message @classmethod async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str: if not cls._access_token: cookies = cookies if cookies else get_cookies("chat.openai.com") async with AsyncSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session: response = await session.get("https://chat.openai.com/api/auth/session") response.raise_for_status() cls._access_token = response.json()["accessToken"] return cls._access_token @classmethod @property def params(cls): params = [ ("model", "str"), ("messages", "list[dict[str, str]]"), ("stream", "bool"), ("proxy", "str"), ("access_token", "str"), ("cookies", "dict[str, str]") ] param = ", ".join([": ".join(p) for p in params]) return f"g4f.provider.{cls.__name__} supports: ({param})"