mirror of
https://github.com/xtekky/gpt4free.git
synced 2025-12-06 10:40:43 -08:00
c79635aaeb
* docs(docs/providers-and-models.md): update documentation structure and model listings * refactor(g4f/debug.py): add type hints and docstrings * refactor(g4f/tools/run_tools.py): Restructure tool handling and improve modularity * refactor(g4f/providers/response.py): enhance type hints and code documentation * feat(g4f/models.py): Update model providers and add new models * feat(g4f/Provider/Blackbox.py): add encrypted session handling and model updates * fix(g4f/Provider/ChatGptEs.py): migrate to curl_cffi for request handling and improve error resilience * feat(g4f/Provider/DeepInfraChat.py): Update default model and add new DeepSeek variants * feat(g4f/Provider/Free2GPT.py): add Gemini models and streamline headers * feat(g4f/Provider/FreeGpt.py): Add support for Gemini 1.5 Flash model * feat(g4f/Provider/Liaobots.py): Add Claude 3.7 models and update default GPT-4o * fix(g4f/Provider/PollinationsAI.py): Correct model mappings and generation parameters * feat(g4f/Provider/PollinationsImage.py): Add class identifier label * chore(g4f/Provider/TeachAnything.py): Update default model and simplify model handling * (g4f/Provider/Mhystical.py): Remove class implementation * chore(g4f/Provider/Prodia.py > g4f/Provider/not_working/Prodia.py): mark Prodia provider as non-working * feat(g4f/Provider/Blackbox.py): Add Claude 3.7 Sonnet model alias * chore(g4f/models.py): Update model configurations * fix(g4f/Provider/ChatGptEs.py): improve request reliability and nonce detection --------- Co-authored-by: kqlio67 <>
67 lines
2.3 KiB
Python
67 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 = True
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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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