mirror of https://github.com/xtekky/gpt4free.git
302 lines
11 KiB
Python
302 lines
11 KiB
Python
from __future__ import annotations
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import uuid, json, asyncio, os
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from py_arkose_generator.arkose import get_values_for_request
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from asyncstdlib.itertools import tee
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from async_property import async_cached_property
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from ..base_provider import AsyncGeneratorProvider
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from ..helper import get_event_loop, format_prompt, get_cookies
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from ...webdriver import get_browser
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from ...typing import AsyncResult, Messages
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from ...requests import StreamSession
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models = {
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"gpt-3.5": "text-davinci-002-render-sha",
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"gpt-3.5-turbo": "text-davinci-002-render-sha",
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"gpt-4": "gpt-4",
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"gpt-4-gizmo": "gpt-4-gizmo"
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}
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class OpenaiChat(AsyncGeneratorProvider):
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url = "https://chat.openai.com"
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working = True
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needs_auth = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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_cookies: dict = {}
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@classmethod
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async def create(
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cls,
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prompt: str = None,
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model: str = "",
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messages: Messages = [],
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history_disabled: bool = False,
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action: str = "next",
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conversation_id: str = None,
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parent_id: str = None,
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**kwargs
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) -> Response:
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if prompt:
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messages.append({
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"role": "user",
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"content": prompt
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})
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generator = cls.create_async_generator(
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model,
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messages,
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history_disabled=history_disabled,
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action=action,
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conversation_id=conversation_id,
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parent_id=parent_id,
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response_fields=True,
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**kwargs
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)
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return Response(
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generator,
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await anext(generator),
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action,
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messages,
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kwargs
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)
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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timeout: int = 120,
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access_token: str = None,
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cookies: dict = None,
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auto_continue: bool = False,
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history_disabled: bool = True,
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action: str = "next",
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conversation_id: str = None,
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parent_id: str = None,
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response_fields: bool = False,
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**kwargs
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) -> AsyncResult:
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if not model:
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model = "gpt-3.5"
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elif model not in models:
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raise ValueError(f"Model are not supported: {model}")
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if not parent_id:
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parent_id = str(uuid.uuid4())
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if not cookies:
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cookies = cls._cookies
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if not access_token:
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if not cookies:
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cls._cookies = cookies = get_cookies("chat.openai.com")
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if "access_token" in cookies:
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access_token = cookies["access_token"]
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if not access_token:
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login_url = os.environ.get("G4F_LOGIN_URL")
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if login_url:
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yield f"Please login: [ChatGPT]({login_url})\n\n"
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cls._cookies["access_token"] = access_token = await cls.browse_access_token(proxy)
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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 StreamSession(
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proxies={"https": proxy},
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impersonate="chrome110",
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headers=headers,
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timeout=timeout,
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cookies=dict([(name, value) for name, value in cookies.items() if name == "_puid"])
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) as session:
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end_turn = EndTurn()
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while not end_turn.is_end:
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data = {
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"action": action,
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"arkose_token": await get_arkose_token(proxy, timeout),
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"conversation_id": conversation_id,
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"parent_message_id": parent_id,
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"model": models[model],
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"history_and_training_disabled": history_disabled and not auto_continue,
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}
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if action != "continue":
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prompt = format_prompt(messages) if not conversation_id else messages[-1]["content"]
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data["messages"] = [{
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"id": str(uuid.uuid4()),
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"author": {"role": "user"},
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"content": {"content_type": "text", "parts": [prompt]},
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}]
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async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
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try:
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response.raise_for_status()
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except:
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raise RuntimeError(f"Error {response.status_code}: {await response.text()}")
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last_message = 0
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async for line in response.iter_lines():
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if not line.startswith(b"data: "):
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continue
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line = line[6:]
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if line == b"[DONE]":
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break
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try:
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line = json.loads(line)
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except:
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continue
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if "message" not in line:
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continue
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if "error" in line and line["error"]:
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raise RuntimeError(line["error"])
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if "message_type" not in line["message"]["metadata"]:
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continue
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if line["message"]["author"]["role"] != "assistant":
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continue
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if line["message"]["metadata"]["message_type"] in ("next", "continue", "variant"):
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conversation_id = line["conversation_id"]
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parent_id = line["message"]["id"]
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if response_fields:
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response_fields = False
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yield ResponseFields(conversation_id, parent_id, end_turn)
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new_message = line["message"]["content"]["parts"][0]
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yield new_message[last_message:]
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last_message = len(new_message)
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if "finish_details" in line["message"]["metadata"]:
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if line["message"]["metadata"]["finish_details"]["type"] == "stop":
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end_turn.end()
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if not auto_continue:
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break
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action = "continue"
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await asyncio.sleep(5)
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@classmethod
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async def browse_access_token(cls, proxy: str = None) -> str:
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def browse() -> str:
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driver = get_browser(proxy=proxy)
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try:
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driver.get(f"{cls.url}/")
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WebDriverWait(driver, 1200).until(
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EC.presence_of_element_located((By.ID, "prompt-textarea"))
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)
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javascript = """
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access_token = (await (await fetch('/api/auth/session')).json())['accessToken'];
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expires = new Date(); expires.setTime(expires.getTime() + 60 * 60 * 24 * 7); // One week
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document.cookie = 'access_token=' + access_token + ';expires=' + expires.toUTCString() + ';path=/';
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return access_token;
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"""
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return driver.execute_script(javascript)
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finally:
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driver.quit()
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loop = get_event_loop()
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return await loop.run_in_executor(
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None,
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browse
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)
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async def get_arkose_token(proxy: str = None, timeout: int = None) -> str:
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config = {
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"pkey": "3D86FBBA-9D22-402A-B512-3420086BA6CC",
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"surl": "https://tcr9i.chat.openai.com",
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"headers": {
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"User-Agent": 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36'
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},
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"site": "https://chat.openai.com",
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}
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args_for_request = get_values_for_request(config)
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async with StreamSession(
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proxies={"https": proxy},
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impersonate="chrome107",
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timeout=timeout
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) as session:
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async with session.post(**args_for_request) as response:
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response.raise_for_status()
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decoded_json = await response.json()
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if "token" in decoded_json:
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return decoded_json["token"]
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raise RuntimeError(f"Response: {decoded_json}")
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class EndTurn():
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def __init__(self):
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self.is_end = False
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def end(self):
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self.is_end = True
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class ResponseFields():
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def __init__(
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self,
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conversation_id: str,
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message_id: str,
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end_turn: EndTurn
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):
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self.conversation_id = conversation_id
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self.message_id = message_id
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self._end_turn = end_turn
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class Response():
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def __init__(
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self,
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generator: AsyncResult,
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fields: ResponseFields,
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action: str,
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messages: Messages,
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options: dict
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):
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self.aiter, self.copy = tee(generator)
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self.fields = fields
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self.action = action
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self._messages = messages
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self._options = options
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def __aiter__(self):
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return self.aiter
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@async_cached_property
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async def message(self) -> str:
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return "".join([chunk async for chunk in self.copy])
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async def next(self, prompt: str, **kwargs) -> Response:
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return await OpenaiChat.create(
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**self._options,
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prompt=prompt,
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messages=await self.messages,
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action="next",
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conversation_id=self.fields.conversation_id,
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parent_id=self.fields.message_id,
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**kwargs
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)
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async def do_continue(self, **kwargs) -> Response:
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if self.end_turn:
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raise RuntimeError("Can't continue message. Message already finished.")
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return await OpenaiChat.create(
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**self._options,
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messages=await self.messages,
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action="continue",
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conversation_id=self.fields.conversation_id,
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parent_id=self.fields.message_id,
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**kwargs
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)
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async def variant(self, **kwargs) -> Response:
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if self.action != "next":
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raise RuntimeError("Can't create variant from continue or variant request.")
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return await OpenaiChat.create(
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**self._options,
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messages=self._messages,
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action="variant",
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conversation_id=self.fields.conversation_id,
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parent_id=self.fields.message_id,
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**kwargs
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)
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@async_cached_property
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async def messages(self):
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messages = self._messages
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messages.append({
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"role": "assistant", "content": await self.message
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})
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return messages
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@property
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def end_turn(self):
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return self.fields._end_turn.is_end |