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