mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-25 04:01:52 +03:00
8d5d522c4e
* refactor(g4f/Provider/Airforce.py): Enhance Airforce provider with dynamic model fetching * refactor(g4f/Provider/Blackbox.py): Enhance Blackbox AI provider configuration and streamline code * feat(g4f/Provider/RobocodersAPI.py): Add RobocodersAPI new async chat provider * refactor(g4f/client/__init__.py): Improve provider handling in async_generate method * refactor(g4f/models.py): Update provider configurations for multiple models * refactor(g4f/Provider/Blackbox.py): Streamline model configuration and improve response handling * feat(g4f/Provider/DDG.py): Enhance model support and improve conversation handling * refactor(g4f/Provider/Copilot.py): Enhance Copilot provider with model support * refactor(g4f/Provider/AmigoChat.py): update models and improve code structure * chore(g4f/Provider/not_working/AIUncensored.): move AIUncensored to not_working directory * chore(g4f/Provider/not_working/Allyfy.py): remove Allyfy provider * Update (g4f/Provider/not_working/AIUncensored.py g4f/Provider/not_working/__init__.py) * refactor(g4f/Provider/ChatGptEs.py): Implement format_prompt for message handling * refactor(g4f/Provider/Blackbox.py): Update message formatting and improve code structure * refactor(g4f/Provider/LLMPlayground.py): Enhance text generation and error handling * refactor(g4f/Provider/needs_auth/PollinationsAI.py): move PollinationsAI to needs_auth directory * refactor(g4f/Provider/Liaobots.py): Update Liaobots provider models and aliases * feat(g4f/Provider/DeepInfraChat.py): Add new DeepInfra models and aliases * Update (g4f/Provider/__init__.py) * Update (g4f/models.py) * g4f/models.py * Update g4f/models.py * Update g4f/Provider/LLMPlayground.py * Update (g4f/models.py g4f/Provider/Airforce.py g4f/Provider/__init__.py g4f/Provider/LLMPlayground.py) * Update g4f/Provider/__init__.py * Update (g4f/Provider/Airforce.py) --------- Co-authored-by: kqlio67 <kqlio67@users.noreply.github.com>
295 lines
9.7 KiB
Python
295 lines
9.7 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-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-4o-mini-2024-07-18": {
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"id": "gpt-4o-mini-2024-07-18",
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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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"o1-preview": {
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"id": "o1-preview",
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"name": "o1-preview",
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"model": "o1",
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"provider": "OpenAI",
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"maxLength": 400000,
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"tokenLimit": 100000,
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"context": "128K",
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},
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"o1-mini": {
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"id": "o1-mini",
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"name": "o1-mini",
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"model": "o1",
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"provider": "OpenAI",
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"maxLength": 400000,
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"tokenLimit": 100000,
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"context": "128K",
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},
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"grok-beta": {
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"id": "grok-beta",
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"name": "Grok-Beta",
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"model": "Grok",
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"provider": "x.ai",
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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-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-3-5-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-3-5-sonnet-20241022": {
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"id": "claude-3-5-sonnet-20241022",
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"name": "Claude-3.5-Sonnet-V2",
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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-opus-20240229-t": {
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"id": "claude-3-opus-20240229-t",
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"name": "Claude-3-Opus-T",
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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-20241022-t": {
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"id": "claude-3-5-sonnet-20241022-t",
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"name": "Claude-3.5-Sonnet-V2-T",
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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-1.5-flash-002": {
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"id": "gemini-1.5-flash-002",
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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-002": {
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"id": "gemini-1.5-pro-002",
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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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default_model = "gpt-4o-2024-08-06"
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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-2024-08-06",
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"gpt-4o-mini": "gpt-4o-mini-2024-07-18",
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"gpt-4": "gpt-4o-2024-08-06",
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"claude-3-opus": "claude-3-opus-20240229",
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"claude-3.5-sonnet": "claude-3-5-sonnet-20240620",
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"claude-3.5-sonnet": "claude-3-5-sonnet-20241022",
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"claude-3-sonnet": "claude-3-sonnet-20240229",
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"claude-3-opus": "claude-3-opus-20240229-t",
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"claude-3.5-sonnet": "claude-3-5-sonnet-20241022-t",
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"gemini-flash": "gemini-1.5-flash-002",
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"gemini-pro": "gemini-1.5-pro-002"
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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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