NeuroGPT / g4f /Provider /CaffCat.py
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import json
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class CaffCat(BaseProvider):
url = "https://caffcat.com"
supports_stream = True
supports_gpt_35_turbo = True
supports_gpt_35_turbo_16k = True
working = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
active_servers = [
"https://coffeecat.ai",
"https://caffcat.com",
"https://www.jinwangyile.xyz",
]
server = active_servers[kwargs.get("active_server", 2)]
headers = {
"authority": f"{server}".replace("https://", ""),
"accept": "text/event-stream",
"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,fa=0.2",
"content-type": "application/json",
"origin": f"{server}",
"referer": f"{server}/",
"x-requested-with": "XMLHttpRequest",
'plugins': '0',
'sec-ch-ua': '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36',
'usesearch': 'false',
'x-requested-with': 'XMLHttpRequest'
}
json_data = {
"messages": messages,
"stream": stream,
"model": model,
"temperature": kwargs.get("temperature", 0.5),
"presence_penalty": kwargs.get("presence_penalty", 0),
"frequency_penalty": kwargs.get("frequency_penalty", 0),
"top_p": kwargs.get("top_p", 1),
}
session = requests.Session()
# init cookies from server
session.get(f"{server}/")
response = session.post(
f"{server}/api/openai/v1/chat/completions",
headers=headers,
json=json_data,
stream=stream,
)
if response.status_code == 200:
if stream == False:
json_data = response.json()
if "choices" in json_data:
yield json_data["choices"][0]["message"]["content"]
else:
yield Exception("No response from server")
else:
for chunk in response.iter_lines():
if b"content" in chunk:
splitData = chunk.decode().split("data: ")
if len(splitData) > 1:
yield json.loads(splitData[1])["choices"][0]["delta"]["content"]
else:
yield Exception(f"Error {response.status_code} from server")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
("presence_penalty", "int"),
("frequency_penalty", "int"),
("top_p", "int"),
("active_server", "int"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"