mirror of
https://github.com/xtekky/gpt4free.git
synced 2025-10-10 02:30:14 +08:00
f83c92446e
- Set `working = False` in Free2GPT, Startnest, and Reka providers - Changed `default_model` in LambdaChat from `deepseek-v3-0324` to `deepseek-r1` - Removed `deepseek-v3` alias from LambdaChat's `model_aliases` - In Kimi provider: - Replaced manual status check with `await raise_for_status(response)` - Set `model` field to `"k2"` in chat completion request - Removed unused `pass` statement - In WeWordle provider: - Removed `**kwargs` from `data_payload` construction - In Reka provider: - Set default value for `stream` to `True` - Modified `get_cookies` call to use `cache_result=False` - In `cli/client.py`: - Added conditional import for `MarkItDown` with `has_markitdown` flag - Raised `MissingRequirementsError` if `MarkItDown` is not installed - In `gui/server/backend_api.py`: - Imported `MissingAuthError` - Wrapped `get_provider_models` call in try-except block to return 401 if `MissingAuthError` is raised
68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
from __future__ import annotations
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import time
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from hashlib import sha256
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from aiohttp import BaseConnector, ClientSession
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from ..errors import RateLimitError
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from ..requests import raise_for_status
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from ..requests.aiohttp import get_connector
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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class Free2GPT(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://chat10.free2gpt.xyz"
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working = False
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supports_message_history = True
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default_model = 'gemini-1.5-pro'
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models = [default_model, 'gemini-1.5-flash']
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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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connector: BaseConnector = None,
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**kwargs,
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) -> AsyncResult:
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headers = {
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"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.9",
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"Accept-Encoding": "gzip, deflate, br",
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"Content-Type": "text/plain;charset=UTF-8",
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"Referer": f"{cls.url}/",
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"Origin": cls.url,
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}
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async with ClientSession(
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connector=get_connector(connector, proxy), headers=headers
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) as session:
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timestamp = int(time.time() * 1e3)
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data = {
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"messages": messages,
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"time": timestamp,
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"pass": None,
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"sign": generate_signature(timestamp, messages[-1]["content"]),
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}
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async with session.post(
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f"{cls.url}/api/generate", json=data, proxy=proxy
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) as response:
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if response.status == 500:
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if "Quota exceeded" in await response.text():
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raise RateLimitError(
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f"Response {response.status}: Rate limit reached"
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)
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await raise_for_status(response)
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async for chunk in response.content.iter_any():
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yield chunk.decode(errors="ignore")
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def generate_signature(time: int, text: str, secret: str = ""):
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message = f"{time}:{text}:{secret}"
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return sha256(message.encode()).hexdigest()
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