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317 lines
10 KiB
Python
317 lines
10 KiB
Python
from __future__ import annotations
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import uuid
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from aiohttp import ClientSession, BaseConnector
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from .helper import get_connector
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from ..requests import raise_for_status
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models = {
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"gpt-4o-mini-free": {
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"id": "gpt-4o-mini-free",
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"name": "GPT-4o-Mini-Free",
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"model": "ChatGPT",
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"provider": "OpenAI",
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"maxLength": 31200,
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"tokenLimit": 7800,
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"context": "8K",
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},
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"gpt-4o-mini": {
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"id": "gpt-4o-mini",
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"name": "GPT-4o-Mini",
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"model": "ChatGPT",
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"provider": "OpenAI",
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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-4o-free": {
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"id": "gpt-4o-free",
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"name": "GPT-4o-free",
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"model": "ChatGPT",
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"provider": "OpenAI",
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"maxLength": 31200,
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"tokenLimit": 7800,
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"context": "8K",
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},
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"gpt-4-turbo-2024-04-09": {
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"id": "gpt-4-turbo-2024-04-09",
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"name": "GPT-4-Turbo",
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"model": "ChatGPT",
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"provider": "OpenAI",
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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-4o-2024-08-06": {
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"id": "gpt-4o-2024-08-06",
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"name": "GPT-4o",
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"model": "ChatGPT",
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"provider": "OpenAI",
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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-4-0613": {
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"id": "gpt-4-0613",
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"name": "GPT-4-0613",
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"model": "ChatGPT",
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"provider": "OpenAI",
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"maxLength": 32000,
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"tokenLimit": 7600,
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"context": "8K",
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},
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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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"model": "Claude",
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"provider": "Anthropic",
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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-opus-20240229-aws": {
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"id": "claude-3-opus-20240229-aws",
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"name": "Claude-3-Opus-Aws",
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"model": "Claude",
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"provider": "Anthropic",
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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-opus-20240229-gcp": {
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"id": "claude-3-opus-20240229-gcp",
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"name": "Claude-3-Opus-Gcp",
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"model": "Claude",
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"provider": "Anthropic",
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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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"model": "Claude",
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"provider": "Anthropic",
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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-3-5-sonnet-20240620": {
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"id": "claude-3-5-sonnet-20240620",
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"name": "Claude-3.5-Sonnet",
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"model": "Claude",
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"provider": "Anthropic",
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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-haiku-20240307": {
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"id": "claude-3-haiku-20240307",
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"name": "Claude-3-Haiku",
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"model": "Claude",
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"provider": "Anthropic",
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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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"model": "Claude",
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"provider": "Anthropic",
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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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"gemini-1.0-pro-latest": {
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"id": "gemini-1.0-pro-latest",
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"name": "Gemini-Pro",
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"model": "Gemini",
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"provider": "Google",
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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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"gemini-1.5-flash-latest": {
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"id": "gemini-1.5-flash-latest",
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"name": "Gemini-1.5-Flash-1M",
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"model": "Gemini",
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"provider": "Google",
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"maxLength": 4000000,
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"tokenLimit": 1000000,
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"context": "1024K",
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},
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"gemini-1.5-pro-latest": {
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"id": "gemini-1.5-pro-latest",
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"name": "Gemini-1.5-Pro-1M",
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"model": "Gemini",
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"provider": "Google",
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"maxLength": 4000000,
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"tokenLimit": 1000000,
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"context": "1024K",
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},
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}
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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_4 = True
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default_model = "gpt-4o"
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models = list(models.keys())
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model_aliases = {
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"gpt-4o-mini": "gpt-4o-mini-free",
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"gpt-4o": "gpt-4o-free",
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"gpt-4-turbo": "gpt-4-turbo-2024-04-09",
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"gpt-4o": "gpt-4o-2024-08-06",
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"gpt-4": "gpt-4-0613",
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"claude-3-opus": "claude-3-opus-20240229",
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"claude-3-opus": "claude-3-opus-20240229-aws",
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"claude-3-opus": "claude-3-opus-20240229-gcp",
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"claude-3-sonnet": "claude-3-sonnet-20240229",
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"claude-3-5-sonnet": "claude-3-5-sonnet-20240620",
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"claude-3-haiku": "claude-3-haiku-20240307",
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"claude-2.1": "claude-2.1",
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"gemini-pro": "gemini-1.0-pro-latest",
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"gemini-flash": "gemini-1.5-flash-latest",
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"gemini-pro": "gemini-1.5-pro-latest",
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}
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_auth_code = ""
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_cookie_jar = None
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@classmethod
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def get_model(cls, model: str) -> str:
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"""
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Retrieve the internal model identifier based on the provided model name or alias.
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"""
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if model in cls.model_aliases:
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model = cls.model_aliases[model]
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if model not in models:
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raise ValueError(f"Model '{model}' is not supported.")
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return model
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@classmethod
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def is_supported(cls, model: str) -> bool:
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"""
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Check if the given model is supported.
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"""
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return model in models or model in cls.model_aliases
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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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model = cls.get_model(model)
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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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data = {
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"conversationId": str(uuid.uuid4()),
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"model": models[model],
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"messages": messages,
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"key": "",
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"prompt": kwargs.get("system_message", "You are a helpful assistant."),
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}
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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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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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try:
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async with session.post(
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"https://liaobots.work/api/user",
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json={"authcode": 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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cls._auth_code = (await response.json(content_type=None))["authCode"]
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if not cls._auth_code:
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raise RuntimeError("Empty auth code")
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cls._cookie_jar = session.cookie_jar
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async with session.post(
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"https://liaobots.work/api/chat",
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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(errors="ignore")
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except:
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async with session.post(
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"https://liaobots.work/api/user",
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json={"authcode": "pTIQr4FTnVRfr"},
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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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if not cls._auth_code:
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raise RuntimeError("Empty auth code")
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cls._cookie_jar = session.cookie_jar
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async with session.post(
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"https://liaobots.work/api/chat",
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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(errors="ignore")
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@classmethod
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async def initialize_auth_code(cls, session: ClientSession) -> None:
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"""
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Initialize the auth code by making the necessary login requests.
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"""
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async with session.post(
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"https://liaobots.work/api/user",
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json={"authcode": "pTIQr4FTnVRfr"},
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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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if not cls._auth_code:
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raise RuntimeError("Empty auth code")
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cls._cookie_jar = session.cookie_jar
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@classmethod
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async def ensure_auth_code(cls, session: ClientSession) -> None:
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"""
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Ensure the auth code is initialized, and if not, perform the initialization.
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"""
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if not cls._auth_code:
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await cls.initialize_auth_code(session)
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