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- from __future__ import annotations
- import time
- import hashlib
- import random
- from typing import AsyncGenerator, Optional, Dict, Any
- from ..typing import Messages
- from ..requests import StreamSession, raise_for_status
- from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
- from ..errors import RateLimitError
- # Constants
- DOMAINS = [
- "https://s.aifree.site",
- "https://v.aifree.site/",
- "https://al.aifree.site/",
- "https://u4.aifree.site/"
- ]
- RATE_LIMIT_ERROR_MESSAGE = "当前地区当日额度已消耗完"
- class FreeGpt(AsyncGeneratorProvider, ProviderModelMixin):
- url = "https://freegptsnav.aifree.site"
-
- working = True
- supports_message_history = True
- supports_system_message = True
-
- default_model = 'gemini-pro'
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: Optional[str] = None,
- timeout: int = 120,
- **kwargs: Any
- ) -> AsyncGenerator[str, None]:
- prompt = messages[-1]["content"]
- timestamp = int(time.time())
- data = cls._build_request_data(messages, prompt, timestamp)
- domain = random.choice(DOMAINS)
- async with StreamSession(
- impersonate="chrome",
- timeout=timeout,
- proxies={"all": proxy} if proxy else None
- ) as session:
- async with session.post(f"{domain}/api/generate", json=data) as response:
- await raise_for_status(response)
- async for chunk in response.iter_content():
- chunk_decoded = chunk.decode(errors="ignore")
- if chunk_decoded == RATE_LIMIT_ERROR_MESSAGE:
- raise RateLimitError("Rate limit reached")
- yield chunk_decoded
- @staticmethod
- def _build_request_data(messages: Messages, prompt: str, timestamp: int, secret: str = "") -> Dict[str, Any]:
- return {
- "messages": messages,
- "time": timestamp,
- "pass": None,
- "sign": generate_signature(timestamp, prompt, secret)
- }
- def generate_signature(timestamp: int, message: str, secret: str = "") -> str:
- data = f"{timestamp}:{message}:{secret}"
- return hashlib.sha256(data.encode()).hexdigest()
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