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