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-2024-08-06": { "id": "gpt-4o-2024-08-06", "name": "GPT-4o", "model": "ChatGPT", "provider": "OpenAI", "maxLength": 260000, "tokenLimit": 126000, "context": "128K", }, "gpt-4o-mini-2024-07-18": { "id": "gpt-4o-mini-2024-07-18", "name": "GPT-4o-Mini", "model": "ChatGPT", "provider": "OpenAI", "maxLength": 260000, "tokenLimit": 126000, "context": "128K", }, "o1-preview-2024-09-12": { "id": "o1-preview-2024-09-12", "name": "o1-preview", "model": "o1", "provider": "OpenAI", "maxLength": 400000, "tokenLimit": 100000, "context": "128K", }, "o1-mini-2024-09-12": { "id": "o1-mini-2024-09-12", "name": "o1-mini", "model": "o1", "provider": "OpenAI", "maxLength": 400000, "tokenLimit": 100000, "context": "128K", }, "grok-beta": { "id": "grok-beta", "name": "Grok-Beta", "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-3-5-sonnet-20240620": { "id": "claude-3-5-sonnet-20240620", "name": "Claude-3.5-Sonnet", "model": "Claude", "provider": "Anthropic", "maxLength": 800000, "tokenLimit": 200000, "context": "200K", }, "claude-3-5-sonnet-20241022": { "id": "claude-3-5-sonnet-20241022", "name": "Claude-3.5-Sonnet-V2", "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-opus-20240229-t": { "id": "claude-3-opus-20240229-t", "name": "Claude-3-Opus-T", "model": "Claude", "provider": "Anthropic", "maxLength": 800000, "tokenLimit": 200000, "context": "200K", }, "claude-3-5-sonnet-20241022-t": { "id": "claude-3-5-sonnet-20241022-t", "name": "Claude-3.5-Sonnet-V2-T", "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 default_model = "gpt-4o-2024-08-06" models = list(models.keys()) model_aliases = { "gpt-4o-mini": "gpt-4o-mini-free", "gpt-4o": "gpt-4o-2024-08-06", "gpt-4o-mini": "gpt-4o-mini-2024-07-18", "gpt-4": "gpt-4o-2024-08-06", "o1-preview": "o1-preview-2024-09-12", "o1-mini": "o1-mini-2024-09-12", "claude-3-opus": "claude-3-opus-20240229", "claude-3.5-sonnet": "claude-3-5-sonnet-20240620", "claude-3.5-sonnet": "claude-3-5-sonnet-20241022", "claude-3-sonnet": "claude-3-sonnet-20240229", "claude-3-opus": "claude-3-opus-20240229-t", "claude-3.5-sonnet": "claude-3-5-sonnet-20241022-t", "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" 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)