mirror of https://github.com/xtekky/gpt4free.git
"create_async" support for BaseProvider,
by using ThreadPoolExecutor Default Model for Vercel
This commit is contained in:
parent
f1b6880f7e
commit
348670fe35
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@ -0,0 +1,73 @@
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from __future__ import annotations
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import random, json
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from g4f.requests import AsyncSession, StreamRequest
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from .base_provider import AsyncGeneratorProvider, format_prompt
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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: list[dict[str, str]],
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stream: bool = True,
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**kwargs
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) -> str:
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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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chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
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rand = ''.join(random.choice(chars) for _ in range(6))
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domain = domains[model]
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url = f'https://{rand}{domain}/api/chat-process'
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headers = {
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
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}
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async with AsyncSession(headers=headers, impersonate="chrome107", verify=False) 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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async with StreamRequest(session, "POST", url, json=data) as response:
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response.raise_for_status()
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async for line in response.content:
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line = json.loads(line.rstrip())
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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("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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@ -60,9 +60,10 @@ class Aivvm(BaseProvider):
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response = requests.post(
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"https://chat.aivvm.com/api/chat", headers=headers, json=json_data, stream=True)
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response.raise_for_status()
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for line in response.iter_content(chunk_size=1048):
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yield line.decode('utf-8')
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for chunk in response.iter_content(chunk_size=None):
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yield chunk.decode('utf-8')
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@classmethod
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@property
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@ -4,6 +4,7 @@ from .Aichat import Aichat
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from .Ails import Ails
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from .AiService import AiService
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from .AItianhu import AItianhu
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from .AItianhuSpace import AItianhuSpace
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from .Aivvm import Aivvm
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from .Bard import Bard
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from .Bing import Bing
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@ -52,6 +53,7 @@ __all__ = [
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'Ails',
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'AiService',
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'AItianhu',
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'AItianhuSpace',
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'Aivvm',
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'Bard',
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'Bing',
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@ -0,0 +1,78 @@
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from __future__ import annotations
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import json, sys
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from aiohttp import StreamReader
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from aiohttp.base_protocol import BaseProtocol
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from curl_cffi.requests import AsyncSession
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from curl_cffi.requests.cookies import Request
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from curl_cffi.requests.cookies import Response
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class StreamResponse:
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def __init__(self, inner: Response, content: StreamReader, request: Request):
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self.inner = inner
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self.content = content
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self.request = request
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self.status_code = inner.status_code
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self.reason = inner.reason
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self.ok = inner.ok
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async def text(self) -> str:
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content = await self.content.read()
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return content.decode()
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def raise_for_status(self):
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if not self.ok:
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raise RuntimeError(f"HTTP Error {self.status_code}: {self.reason}")
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async def json(self, **kwargs):
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return json.loads(await self.content.read(), **kwargs)
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class StreamRequest:
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def __init__(self, session: AsyncSession, method: str, url: str, **kwargs):
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self.session = session
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self.loop = session.loop
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self.content = StreamReader(
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BaseProtocol(session.loop),
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sys.maxsize,
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loop=session.loop
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)
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self.method = method
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self.url = url
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self.options = kwargs
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def on_content(self, data):
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if not self.enter.done():
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self.enter.set_result(None)
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self.content.feed_data(data)
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def on_done(self, task):
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self.content.feed_eof()
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async def __aenter__(self) -> StreamResponse:
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self.curl = await self.session.pop_curl()
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self.enter = self.session.loop.create_future()
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request, _, header_buffer = self.session._set_curl_options(
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self.curl,
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self.method,
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self.url,
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content_callback=self.on_content,
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**self.options
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)
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handle = self.session.acurl.add_handle(self.curl)
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self.handle = self.session.loop.create_task(handle)
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self.handle.add_done_callback(self.on_done)
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await self.enter
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return StreamResponse(
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self.session._parse_response(self.curl, request, _, header_buffer),
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self.content,
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request
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)
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async def __aexit__(self, exc_type, exc, tb):
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await self.handle
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self.curl.clean_after_perform()
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self.curl.reset()
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self.session.push_curl(self.curl)
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