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import uuid, requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class Liaobots(BaseProvider):
url: str = "https://liaobots.com"
supports_stream = True
needs_auth = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool, **kwargs: Any) -> CreateResult:
headers = {
"authority" : "liaobots.com",
"content-type" : "application/json",
"origin" : "https://liaobots.com",
"referer" : "https://liaobots.com/",
"user-agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
"x-auth-code" : str(kwargs.get("auth")),
}
models = {
"gpt-4": {
"id": "gpt-4",
"name": "GPT-4",
"maxLength": 24000,
"tokenLimit": 8000,
},
"gpt-3.5-turbo": {
"id": "gpt-3.5-turbo",
"name": "GPT-3.5",
"maxLength": 12000,
"tokenLimit": 4000,
},
}
json_data = {
"conversationId": str(uuid.uuid4()),
"model" : models[model],
"messages" : messages,
"key" : "",
"prompt" : "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
}
response = requests.post("https://liaobots.com/api/chat",
headers=headers, json=json_data, stream=True)
response.raise_for_status()
for token in response.iter_content(chunk_size=2046):
yield token.decode("utf-8")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("auth", "str"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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