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from __future__ import annotations |
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import random, json |
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from ..typing import AsyncResult, Messages |
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from ..requests import StreamSession |
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from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies |
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domains = { |
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"gpt-3.5-turbo": "aitianhu.space", |
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"gpt-4": "aitianhu.website", |
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} |
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class AItianhuSpace(AsyncGeneratorProvider): |
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url = "https://chat3.aiyunos.top/" |
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working = True |
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supports_gpt_35_turbo = True |
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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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proxy: str = None, |
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domain: str = None, |
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cookies: dict = None, |
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timeout: int = 120, |
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**kwargs |
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) -> AsyncResult: |
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if not model: |
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model = "gpt-3.5-turbo" |
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elif not model in domains: |
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raise ValueError(f"Model are not supported: {model}") |
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if not domain: |
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chars = 'abcdefghijklmnopqrstuvwxyz0123456789' |
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rand = ''.join(random.choice(chars) for _ in range(6)) |
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domain = f"{rand}.{domains[model]}" |
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if not cookies: |
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cookies = get_cookies(domain) |
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url = f'https://{domain}' |
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async with StreamSession( |
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proxies={"https": proxy}, |
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cookies=cookies, |
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timeout=timeout, |
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impersonate="chrome110", |
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verify=False |
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) as session: |
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data = { |
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"prompt": format_prompt(messages), |
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"options": {}, |
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"systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.", |
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"temperature": 0.8, |
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"top_p": 1, |
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**kwargs |
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} |
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headers = { |
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"Authority": url, |
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"Accept": "application/json, text/plain, */*", |
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"Origin": url, |
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"Referer": f"{url}/" |
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} |
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async with session.post(f"{url}/api/chat-process", json=data, headers=headers) as response: |
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response.raise_for_status() |
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async for line in response.iter_lines(): |
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if line == b"<script>": |
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raise RuntimeError("Solve challenge and pass cookies and a fixed domain") |
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if b"platform's risk control" in line: |
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raise RuntimeError("Platform's Risk Control") |
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line = json.loads(line) |
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if "detail" in line: |
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content = line["detail"]["choices"][0]["delta"].get("content") |
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if content: |
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yield content |
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elif "message" in line and "AI-4接口非常昂贵" in line["message"]: |
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raise RuntimeError("Rate limit for GPT 4 reached") |
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else: |
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raise RuntimeError(f"Response: {line}") |
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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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("top_p", "int"), |
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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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