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| from __future__ import annotations | |
| import hashlib | |
| import time | |
| import uuid | |
| import json | |
| from datetime import datetime | |
| from aiohttp import ClientSession | |
| from ..typing import SHA256, AsyncGenerator | |
| from .base_provider import AsyncGeneratorProvider | |
| class Ails(AsyncGeneratorProvider): | |
| url: str = "https://ai.ls" | |
| working = True | |
| supports_gpt_35_turbo = True | |
| async def create_async_generator( | |
| model: str, | |
| messages: list[dict[str, str]], | |
| stream: bool, | |
| proxy: str = None, | |
| **kwargs | |
| ) -> AsyncGenerator: | |
| headers = { | |
| "authority": "api.caipacity.com", | |
| "accept": "*/*", | |
| "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3", | |
| "authorization": "Bearer free", | |
| "client-id": str(uuid.uuid4()), | |
| "client-v": "0.1.278", | |
| "content-type": "application/json", | |
| "origin": "https://ai.ls", | |
| "referer": "https://ai.ls/", | |
| "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"', | |
| "sec-ch-ua-mobile": "?0", | |
| "sec-ch-ua-platform": '"Windows"', | |
| "sec-fetch-dest": "empty", | |
| "sec-fetch-mode": "cors", | |
| "sec-fetch-site": "cross-site", | |
| "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36", | |
| "from-url": "https://ai.ls/?chat=1" | |
| } | |
| async with ClientSession( | |
| headers=headers | |
| ) as session: | |
| timestamp = _format_timestamp(int(time.time() * 1000)) | |
| json_data = { | |
| "model": "gpt-3.5-turbo", | |
| "temperature": kwargs.get("temperature", 0.6), | |
| "stream": True, | |
| "messages": messages, | |
| "d": datetime.now().strftime("%Y-%m-%d"), | |
| "t": timestamp, | |
| "s": _hash({"t": timestamp, "m": messages[-1]["content"]}), | |
| } | |
| async with session.post( | |
| "https://api.caipacity.com/v1/chat/completions", | |
| proxy=proxy, | |
| json=json_data | |
| ) as response: | |
| response.raise_for_status() | |
| start = "data: " | |
| async for line in response.content: | |
| line = line.decode('utf-8') | |
| if line.startswith(start) and line != "data: [DONE]": | |
| line = line[len(start):-1] | |
| line = json.loads(line) | |
| token = line["choices"][0]["delta"].get("content") | |
| if token: | |
| if "ai.ls" in token or "ai.ci" in token: | |
| raise Exception("Response Error: " + token) | |
| yield token | |
| def params(cls): | |
| params = [ | |
| ("model", "str"), | |
| ("messages", "list[dict[str, str]]"), | |
| ("stream", "bool"), | |
| ("temperature", "float"), | |
| ] | |
| param = ", ".join([": ".join(p) for p in params]) | |
| return f"g4f.provider.{cls.__name__} supports: ({param})" | |
| def _hash(json_data: dict[str, str]) -> SHA256: | |
| base_string: str = "%s:%s:%s:%s" % ( | |
| json_data["t"], | |
| json_data["m"], | |
| "WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf", | |
| len(json_data["m"]), | |
| ) | |
| return SHA256(hashlib.sha256(base_string.encode()).hexdigest()) | |
| def _format_timestamp(timestamp: int) -> str: | |
| e = timestamp | |
| n = e % 10 | |
| r = n + 1 if n % 2 == 0 else n | |
| return str(e - n + r) |