Merge pull request #1907 from hlohaus/arka

Add proofofwork to OpenaiChat
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H Lohaus 2024-04-28 22:47:28 +02:00 committed by GitHub
commit c3e8113eb4
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3 changed files with 91 additions and 16 deletions

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@ -24,15 +24,31 @@ except ImportError:
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ...webdriver import get_browser
from ...typing import AsyncResult, Messages, Cookies, ImageType, AsyncIterator
from ...requests import DEFAULT_HEADERS, get_args_from_browser, raise_for_status
from ...requests import get_args_from_browser, raise_for_status
from ...requests.aiohttp import StreamSession
from ...image import to_image, to_bytes, ImageResponse, ImageRequest
from ...errors import MissingAuthError, ResponseError
from ...providers.conversation import BaseConversation
from ..helper import format_cookies
from ..openai.har_file import getArkoseAndAccessToken, NoValidHarFileError
from ..openai.proofofwork import generate_proof_token
from ... import debug
DEFAULT_HEADERS = {
"accept": "*/*",
"accept-encoding": "gzip, deflate, br, zstd",
"accept-language": "en-US,en;q=0.5",
"referer": "https://chat.openai.com/",
"sec-ch-ua": "\"Brave\";v=\"123\", \"Not:A-Brand\";v=\"8\", \"Chromium\";v=\"123\"",
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": "\"Windows\"",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"sec-gpc": "1",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
}
class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
"""A class for creating and managing conversations with OpenAI chat service"""
@ -355,11 +371,21 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
cls._set_api_key(api_key)
if cls.default_model is None and (not cls.needs_auth or cls._api_key is not None):
if cls._api_key is None:
cls._create_request_args(cookies)
async with session.get(
f"{cls.url}/",
headers=DEFAULT_HEADERS
) as response:
cls._update_request_args(session)
await raise_for_status(response)
try:
if not model:
cls.default_model = cls.get_model(await cls.get_default_model(session, cls._headers))
else:
cls.default_model = cls.get_model(model)
except MissingAuthError:
pass
except Exception as e:
api_key = cls._api_key = None
cls._create_request_args()
@ -395,9 +421,9 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
blob = data["arkose"]["dx"]
need_arkose = data["arkose"]["required"]
chat_token = data["token"]
if debug.logging:
print(f'Arkose: {need_arkose} Turnstile: {data["turnstile"]["required"]}')
proofofwork = ""
if "proofofwork" in data:
proofofwork = generate_proof_token(**data["proofofwork"], user_agent=cls._headers["user-agent"])
if need_arkose and arkose_token is None:
arkose_token, api_key, cookies, headers = await getArkoseAndAccessToken(proxy)
@ -405,6 +431,13 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
cls._set_api_key(api_key)
if arkose_token is None:
raise MissingAuthError("No arkose token found in .har file")
if debug.logging:
print(
'Arkose:', False if not need_arkose else arkose_token[:12]+"...",
'Turnstile:', data["turnstile"]["required"],
'Proofofwork:', False if proofofwork is None else proofofwork[:12]+"...",
)
try:
image_request = await cls.upload_image(session, cls._headers, image, image_name) if image else None
@ -439,12 +472,14 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
messages = messages if conversation_id is None else [messages[-1]]
data["messages"] = cls.create_messages(messages, image_request)
headers = {
"Accept": "text/event-stream",
"OpenAI-Sentinel-Chat-Requirements-Token": chat_token,
"accept": "text/event-stream",
"Openai-Sentinel-Chat-Requirements-Token": chat_token,
**cls._headers
}
if need_arkose:
headers["OpenAI-Sentinel-Arkose-Token"] = arkose_token
headers["Openai-Sentinel-Arkose-Token"] = arkose_token
if proofofwork is not None:
headers["Openai-Sentinel-Proof-Token"] = proofofwork
async with session.post(
f"{cls.url}/backend-anon/conversation" if cls._api_key is None else
f"{cls.url}/backend-api/conversation",
@ -671,8 +706,6 @@ this.fetch = async (url, options) => {
return {
**DEFAULT_HEADERS,
"content-type": "application/json",
"oai-device-id": str(uuid.uuid4()),
"oai-language": "en-US",
}
@classmethod
@ -698,6 +731,8 @@ this.fetch = async (url, options) => {
@classmethod
def _update_cookie_header(cls):
cls._headers["cookie"] = format_cookies(cls._cookies)
if "oai-did" in cls._cookies:
cls._headers["oai-device-id"] = cls._cookies["oai-did"]
class Conversation(BaseConversation):
"""

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@ -0,0 +1,39 @@
import random
import hashlib
import json
import base64
from datetime import datetime, timedelta, timezone
def generate_proof_token(required: bool, seed: str, difficulty: str, user_agent: str):
if not required:
return
cores = [8, 12, 16, 24]
screens = [3000, 4000, 6000]
core = random.choice(cores)
screen = random.choice(screens)
# Get current UTC time
now_utc = datetime.now(timezone.utc)
# Convert UTC time to Eastern Time
now_et = now_utc.astimezone(timezone(timedelta(hours=-5)))
parse_time = now_et.strftime('%a, %d %b %Y %H:%M:%S GMT')
config = [core + screen, parse_time, 4294705152, 0, user_agent]
diff_len = len(difficulty) // 2
for i in range(100000):
config[3] = i
json_data = json.dumps(config)
base = base64.b64encode(json_data.encode()).decode()
hash_value = hashlib.sha3_512((seed + base).encode()).digest()
if hash_value.hex()[:diff_len] <= difficulty:
result = "gAAAAAB" + base
return result
fallback_base = base64.b64encode(f'"{seed}"'.encode()).decode()
return "gAAAAABwQ8Lk5FbGpA2NcR9dShT6gYjU7VxZ4D" + fallback_base

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@ -85,20 +85,21 @@ async def get_telemetry_ids(proxy: str = None) -> list:
from nodriver import start
except ImportError:
raise MissingRequirementsError('Add .har file from you.com or install "nodriver" package | pip install -U nodriver')
page = None
try:
browser = await start()
tab = browser.main_tab
await browser.get("https://you.com")
page = await browser.get("https://you.com")
while not await tab.evaluate('"GetTelemetryID" in this'):
await tab.sleep(1)
while not await page.evaluate('"GetTelemetryID" in this'):
await page.sleep(1)
async def get_telemetry_id():
return await tab.evaluate(
return await page.evaluate(
f'this.GetTelemetryID("{public_token}", "{telemetry_url}");',
await_promise=True
)
return [await get_telemetry_id() for _ in range(1)]
return [await get_telemetry_id()]
finally:
await tab.close()
if page is not None:
await page.close()