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import os, re, json
try:
from tls_client import Session
except ImportError:
os.system("pip install tls_client --no-cache-dir")
from uuid import uuid4
from requests import post
from time import time, sleep
from fake_useragent import UserAgent
from pymailtm import MailTm, Message
from typing import Any, List, Generator, Optional
from pydantic import BaseModel
class Choice(BaseModel):
text: str
index: int
logprobs: Any
finish_reason: str
class Usage(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
class ForeFrontResponse(BaseModel):
id: str
object: str
created: int
model: str
choices: List[Choice]
usage: Usage
text: str
class Account:
@staticmethod
def create(proxy: Optional[str] = None, logging: bool = False) -> str:
"""
Create a new account.
Args:
proxy (Optional[str]): Proxy URL. Defaults to None.
logging (bool): Enable logging. Defaults to False.
Returns:
str: The token associated with the created account.
"""
proxies = (
{"http": "http://" + proxy, "https": "http://" + proxy} if proxy else False
)
start = time()
mail_client = MailTm().get_account()
mail_address = mail_client.address
client = Session(client_identifier="chrome110")
client.proxies = proxies
client.headers = {
"origin": "https://accounts.forefront.ai",
"user-agent": UserAgent().random,
}
response = client.post(
"https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.38.4",
data={"email_address": mail_address},
)
try:
trace_token = response.json()["response"]["id"]
if logging:
print(trace_token)
except KeyError:
return "Failed to create account!"
response = client.post(
f"https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.38.4",
data={
"strategy": "email_link",
"redirect_url": "https://accounts.forefront.ai/sign-up/verify",
},
)
if logging:
print(response.text)
if "sign_up_attempt" not in response.text:
return "Failed to create account!"
while True:
sleep(1)
new_message: Message = mail_client.wait_for_message()
if logging:
print(new_message.data["id"])
verification_url = re.findall(
r"https:\/\/clerk\.forefront\.ai\/v1\/verify\?token=\w.+",
new_message.text,
)[0]
if verification_url:
break
if logging:
print(verification_url)
response = client.get(verification_url)
response = client.get(
"https://clerk.forefront.ai/v1/client?_clerk_js_version=4.38.4"
)
token = response.json()["response"]["sessions"][0]["last_active_token"]["jwt"]
if logging:
print(time() - start)
return token
class Completion:
@staticmethod
def create(
token=None,
chat_id=None,
prompt="",
action_type="new",
default_persona="607e41fe-95be-497e-8e97-010a59b2e2c0",
model="gpt-4",
proxy=None,
) -> ForeFrontResponse:
"""
Create a completion request.
Args:
token: The token associated with the account.
chat_id: The chat ID.
prompt: The prompt for the completion.
action_type: The action type for the completion. Defaults to 'new'.
default_persona: The default persona ID. Defaults to '607e41fe-95be-497e-8e97-010a59b2e2c0'.
model: The model name. Defaults to 'gpt-4'.
proxy: Proxy URL. Defaults to None.
Returns:
ForeFrontResponse: The completion response.
Raises:
Exception: If unable to get the response, please try again later.
"""
proxies = (
{"http": "http://" + proxy, "https": "http://" + proxy} if proxy else None
)
headers = {
"authority": "chat-server.tenant-forefront-default.knative.chi.coreweave.com",
"accept": "*/*",
"accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
"authorization": "Bearer " + token,
"cache-control": "no-cache",
"content-type": "application/json",
"origin": "https://chat.forefront.ai",
"pragma": "no-cache",
"referer": "https://chat.forefront.ai/",
"sec-ch-ua": '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"macOS"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "cross-site",
"user-agent": UserAgent().random,
}
json_data = {
"text": prompt,
"action": action_type,
"parentId": chat_id,
"workspaceId": chat_id,
"messagePersona": default_persona,
"model": model,
}
response = post(
"https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat",
headers=headers,
proxies=proxies,
json=json_data,
)
if response.status_code == 200:
data = response.json()
token = data["choices"][0]["delta"].get("content")
if token is not None:
final_response = ForeFrontResponse(
**{
"id": chat_id,
"object": "text_completion",
"created": int(time()),
"text": token,
"model": model,
"choices": [
{
"text": token,
"index": 0,
"logprobs": None,
"finish_reason": "stop",
}
],
"usage": {
"prompt_tokens": len(prompt),
"completion_tokens": len(token),
"total_tokens": len(prompt) + len(token),
},
}
)
return final_response
raise Exception("Unable to fetch the response.")
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