2023-09-03 08:26:26 +00:00
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from __future__ import annotations
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import uuid
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2024-01-23 22:48:11 +00:00
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from aiohttp import ClientSession, BaseConnector
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2023-07-28 10:07:17 +00:00
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2023-10-09 08:22:17 +00:00
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from ..typing import AsyncResult, Messages
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2024-01-23 18:44:48 +00:00
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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2024-01-23 23:46:35 +00:00
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from .helper import get_connector
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2024-03-12 01:06:06 +00:00
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from ..requests import raise_for_status
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2023-07-28 10:07:17 +00:00
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2023-08-27 23:43:45 +00:00
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models = {
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"gpt-3.5-turbo": {
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"id": "gpt-3.5-turbo",
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2023-12-29 01:16:47 +00:00
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"name": "GPT-3.5-Turbo",
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"maxLength": 48000,
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"tokenLimit": 14000,
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"context": "16K",
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},
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2024-03-27 07:03:09 +00:00
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"gpt-4-turbo": {
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"id": "gpt-4-turbo-preview",
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"name": "GPT-4-Turbo",
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"maxLength": 260000,
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"tokenLimit": 126000,
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"context": "128K",
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},
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"gpt-4": {
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"id": "gpt-4-plus",
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"name": "GPT-4-Plus",
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"maxLength": 130000,
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"tokenLimit": 31000,
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"context": "32K",
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},
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2024-03-12 01:17:45 +00:00
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"gpt-4-0613": {
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"id": "gpt-4-0613",
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"name": "GPT-4-0613",
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"maxLength": 60000,
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"tokenLimit": 15000,
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"context": "16K",
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},
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2023-12-29 01:16:47 +00:00
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"gemini-pro": {
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"id": "gemini-pro",
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"name": "Gemini-Pro",
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"maxLength": 120000,
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"tokenLimit": 30000,
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"context": "32K",
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},
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2024-03-12 01:17:45 +00:00
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"claude-3-opus-20240229": {
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"id": "claude-3-opus-20240229",
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"name": "Claude-3-Opus",
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"maxLength": 800000,
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"tokenLimit": 200000,
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"context": "200K",
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},
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"claude-3-sonnet-20240229": {
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"id": "claude-3-sonnet-20240229",
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"name": "Claude-3-Sonnet",
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"maxLength": 800000,
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"tokenLimit": 200000,
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"context": "200K",
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},
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"claude-2.1": {
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"id": "claude-2.1",
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"name": "Claude-2.1-200k",
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"maxLength": 800000,
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"tokenLimit": 200000,
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"context": "200K",
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},
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"claude-2.0": {
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"id": "claude-2.0",
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"name": "Claude-2.0-100k",
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"maxLength": 400000,
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"tokenLimit": 100000,
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"context": "100K",
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},
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"claude-instant-1": {
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"id": "claude-instant-1",
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"name": "Claude-instant-1",
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"maxLength": 400000,
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"tokenLimit": 100000,
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"context": "100K",
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}
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2023-08-27 23:43:45 +00:00
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}
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2023-07-28 10:07:17 +00:00
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2024-03-12 01:17:45 +00:00
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2024-01-23 18:44:48 +00:00
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class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://liaobots.site"
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working = True
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supports_message_history = True
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supports_system_message = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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default_model = "gpt-3.5-turbo"
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models = list(models)
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model_aliases = {
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"claude-v2": "claude-2"
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}
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_auth_code = None
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_cookie_jar = None
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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auth: str = None,
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proxy: str = None,
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connector: BaseConnector = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"authority": "liaobots.com",
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"content-type": "application/json",
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"origin": cls.url,
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"referer": f"{cls.url}/",
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"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",
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}
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async with ClientSession(
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headers=headers,
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cookie_jar=cls._cookie_jar,
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connector=get_connector(connector, proxy, True)
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) as session:
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cls._auth_code = auth if isinstance(auth, str) else cls._auth_code
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if not cls._auth_code:
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async with session.post(
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"https://liaobots.work/recaptcha/api/login",
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proxy=proxy,
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data={"token": "abcdefghijklmnopqrst"},
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verify_ssl=False
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) as response:
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await raise_for_status(response)
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async with session.post(
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"https://liaobots.work/api/user",
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proxy=proxy,
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json={"authcode": ""},
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verify_ssl=False
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) as response:
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await raise_for_status(response)
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cls._auth_code = (await response.json(content_type=None))["authCode"]
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cls._cookie_jar = session.cookie_jar
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data = {
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"conversationId": str(uuid.uuid4()),
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"model": models[cls.get_model(model)],
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"messages": messages,
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"key": "",
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2023-11-16 18:46:25 +00:00
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"prompt": kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully."),
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}
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async with session.post(
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"https://liaobots.work/api/chat",
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proxy=proxy,
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json=data,
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headers={"x-auth-code": cls._auth_code},
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verify_ssl=False
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) as response:
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await raise_for_status(response)
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async for chunk in response.content.iter_any():
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if b"<html coupert-item=" in chunk:
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raise RuntimeError("Invalid session")
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if chunk:
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yield chunk.decode()
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