from __future__ import annotations
import uuid
from aiohttp import ClientSession, BaseConnector
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import get_connector
from ..requests import raise_for_status
models = {
"gpt-4o-mini-free": {
"id": "gpt-4o-mini-free",
"name": "GPT-4o-Mini-Free",
"model": "ChatGPT",
"provider": "OpenAI",
"maxLength": 31200,
"tokenLimit": 7800,
"context": "8K",
},
"gpt-4o-mini": {
"id": "gpt-4o-mini",
"name": "GPT-4o-Mini",
"model": "ChatGPT",
"provider": "OpenAI",
"maxLength": 260000,
"tokenLimit": 126000,
"context": "128K",
},
"gpt-4o-free": {
"id": "gpt-4o-free",
"name": "GPT-4o-free",
"model": "ChatGPT",
"provider": "OpenAI",
"maxLength": 31200,
"tokenLimit": 7800,
"context": "8K",
},
"gpt-4o-2024-08-06": {
"id": "gpt-4o-2024-08-06",
"name": "GPT-4o",
"model": "ChatGPT",
"provider": "OpenAI",
"maxLength": 260000,
"tokenLimit": 126000,
"context": "128K",
},
"gpt-4-turbo-2024-04-09": {
"id": "gpt-4-turbo-2024-04-09",
"name": "GPT-4-Turbo",
"model": "ChatGPT",
"provider": "OpenAI",
"maxLength": 260000,
"tokenLimit": 126000,
"context": "128K",
},
"grok-2": {
"id": "grok-2",
"name": "Grok-2",
"model": "Grok",
"provider": "x.ai",
"maxLength": 400000,
"tokenLimit": 100000,
"context": "100K",
},
"grok-2-mini": {
"id": "grok-2-mini",
"name": "Grok-2-mini",
"model": "Grok",
"provider": "x.ai",
"maxLength": 400000,
"tokenLimit": 100000,
"context": "100K",
},
"claude-3-opus-20240229": {
"id": "claude-3-opus-20240229",
"name": "Claude-3-Opus",
"model": "Claude",
"provider": "Anthropic",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-3-opus-20240229-aws": {
"id": "claude-3-opus-20240229-aws",
"name": "Claude-3-Opus-Aws",
"model": "Claude",
"provider": "Anthropic",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-3-opus-20240229-gcp": {
"id": "claude-3-opus-20240229-gcp",
"name": "Claude-3-Opus-Gcp",
"model": "Claude",
"provider": "Anthropic",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-3-5-sonnet-20240620": {
"id": "claude-3-5-sonnet-20240620",
"name": "Claude-3.5-Sonnet",
"model": "Claude",
"provider": "Anthropic",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-3-sonnet-20240229": {
"id": "claude-3-sonnet-20240229",
"name": "Claude-3-Sonnet",
"model": "Claude",
"provider": "Anthropic",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-3-haiku-20240307": {
"id": "claude-3-haiku-20240307",
"name": "Claude-3-Haiku",
"model": "Claude",
"provider": "Anthropic",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-2.1": {
"id": "claude-2.1",
"name": "Claude-2.1-200k",
"model": "Claude",
"provider": "Anthropic",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"gemini-1.5-flash-002": {
"id": "gemini-1.5-flash-002",
"name": "Gemini-1.5-Flash-1M",
"model": "Gemini",
"provider": "Google",
"maxLength": 4000000,
"tokenLimit": 1000000,
"context": "1024K",
},
"gemini-1.5-pro-002": {
"id": "gemini-1.5-pro-002",
"name": "Gemini-1.5-Pro-1M",
"model": "Gemini",
"provider": "Google",
"maxLength": 4000000,
"tokenLimit": 1000000,
"context": "1024K",
},
}
class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://liaobots.site"
working = True
supports_message_history = True
supports_system_message = True
supports_gpt_4 = True
default_model = "gpt-3.5-turbo"
models = list(models.keys())
model_aliases = {
"gpt-4o-mini": "gpt-4o-mini-free",
"gpt-4o": "gpt-4o-free",
"gpt-4o": "gpt-4o-2024-08-06",
"gpt-4-turbo": "gpt-4-turbo-2024-04-09",
"gpt-4": "gpt-4-0613",
"claude-3-opus": "claude-3-opus-20240229",
"claude-3-opus": "claude-3-opus-20240229-aws",
"claude-3-opus": "claude-3-opus-20240229-gcp",
"claude-3-sonnet": "claude-3-sonnet-20240229",
"claude-3.5-sonnet": "claude-3-5-sonnet-20240620",
"claude-3-haiku": "claude-3-haiku-20240307",
"claude-2.1": "claude-2.1",
"gemini-flash": "gemini-1.5-flash-002",
"gemini-pro": "gemini-1.5-pro-002",
}
_auth_code = ""
_cookie_jar = None
@classmethod
def get_model(cls, model: str) -> str:
"""
Retrieve the internal model identifier based on the provided model name or alias.
"""
if model in cls.model_aliases:
model = cls.model_aliases[model]
if model not in models:
raise ValueError(f"Model '{model}' is not supported.")
return model
@classmethod
def is_supported(cls, model: str) -> bool:
"""
Check if the given model is supported.
"""
return model in models or model in cls.model_aliases
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
auth: str = None,
proxy: str = None,
connector: BaseConnector = None,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"authority": "liaobots.com",
"content-type": "application/json",
"origin": cls.url,
"referer": f"{cls.url}/",
"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",
}
async with ClientSession(
headers=headers,
cookie_jar=cls._cookie_jar,
connector=get_connector(connector, proxy, True)
) as session:
data = {
"conversationId": str(uuid.uuid4()),
"model": models[model],
"messages": messages,
"key": "",
"prompt": kwargs.get("system_message", "You are a helpful assistant."),
}
if not cls._auth_code:
async with session.post(
"https://liaobots.work/recaptcha/api/login",
data={"token": "abcdefghijklmnopqrst"},
verify_ssl=False
) as response:
await raise_for_status(response)
try:
async with session.post(
"https://liaobots.work/api/user",
json={"authcode": cls._auth_code},
verify_ssl=False
) as response:
await raise_for_status(response)
cls._auth_code = (await response.json(content_type=None))["authCode"]
if not cls._auth_code:
raise RuntimeError("Empty auth code")
cls._cookie_jar = session.cookie_jar
async with session.post(
"https://liaobots.work/api/chat",
json=data,
headers={"x-auth-code": cls._auth_code},
verify_ssl=False
) as response:
await raise_for_status(response)
async for chunk in response.content.iter_any():
if b"<html coupert-item=" in chunk:
raise RuntimeError("Invalid session")
if chunk:
yield chunk.decode(errors="ignore")
except:
async with session.post(
"https://liaobots.work/api/user",
json={"authcode": "pTIQr4FTnVRfr"},
verify_ssl=False
) as response:
await raise_for_status(response)
cls._auth_code = (await response.json(content_type=None))["authCode"]
if not cls._auth_code:
raise RuntimeError("Empty auth code")
cls._cookie_jar = session.cookie_jar
async with session.post(
"https://liaobots.work/api/chat",
json=data,
headers={"x-auth-code": cls._auth_code},
verify_ssl=False
) as response:
await raise_for_status(response)
async for chunk in response.content.iter_any():
if b"<html coupert-item=" in chunk:
raise RuntimeError("Invalid session")
if chunk:
yield chunk.decode(errors="ignore")
@classmethod
async def initialize_auth_code(cls, session: ClientSession) -> None:
"""
Initialize the auth code by making the necessary login requests.
"""
async with session.post(
"https://liaobots.work/api/user",
json={"authcode": "pTIQr4FTnVRfr"},
verify_ssl=False
) as response:
await raise_for_status(response)
cls._auth_code = (await response.json(content_type=None))["authCode"]
if not cls._auth_code:
raise RuntimeError("Empty auth code")
cls._cookie_jar = session.cookie_jar
@classmethod
async def ensure_auth_code(cls, session: ClientSession) -> None:
"""
Ensure the auth code is initialized, and if not, perform the initialization.
"""
if not cls._auth_code:
await cls.initialize_auth_code(session)
