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104 lines
3.9 KiB
Python
104 lines
3.9 KiB
Python
from __future__ import annotations
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import json, base64, requests, random, os
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try:
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import execjs
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has_requirements = True
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except ImportError:
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has_requirements = False
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from ..typing import Messages, CreateResult
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from .base_provider import AbstractProvider
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from ..requests import raise_for_status
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from ..errors import MissingRequirementsError
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class Vercel(AbstractProvider):
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url = 'https://chat.vercel.ai'
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working = True
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supports_message_history = True
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supports_system_message = True
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supports_gpt_35_turbo = True
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supports_stream = True
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@staticmethod
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def create_completion(
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model: str,
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messages: Messages,
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stream: bool,
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proxy: str = None,
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max_retries: int = 6,
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**kwargs
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) -> CreateResult:
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if not has_requirements:
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raise MissingRequirementsError('Install "PyExecJS" package')
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headers = {
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'authority': 'chat.vercel.ai',
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'cache-control': 'no-cache',
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'content-type': 'application/json',
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'custom-encoding': get_anti_bot_token(),
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'origin': 'https://chat.vercel.ai',
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'pragma': 'no-cache',
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'referer': 'https://chat.vercel.ai/',
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'sec-ch-ua': '"Chromium";v="122", "Not(A:Brand";v="24", "Google Chrome";v="122"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36',
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}
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json_data = {
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'messages': messages,
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'id' : f'{os.urandom(3).hex()}a',
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}
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response = None
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for _ in range(max_retries):
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response = requests.post('https://chat.vercel.ai/api/chat',
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headers=headers, json=json_data, stream=True, proxies={"https": proxy})
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if not response.ok:
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continue
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for token in response.iter_content(chunk_size=None):
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try:
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yield token.decode(errors="ignore")
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except UnicodeDecodeError:
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pass
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break
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raise_for_status(response)
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def get_anti_bot_token() -> str:
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headers = {
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'authority': 'sdk.vercel.ai',
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'cache-control': 'no-cache',
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'pragma': 'no-cache',
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'referer': 'https://sdk.vercel.ai/',
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'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
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}
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response = requests.get('https://chat.vercel.ai/openai.jpeg',
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headers=headers).text
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raw_data = json.loads(base64.b64decode(response,
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validate=True))
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js_script = '''const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
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return (%s)(%s)''' % (raw_data['c'], raw_data['a'])
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sec_list = [execjs.compile(js_script).call('')[0], [], "sentinel"]
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raw_token = json.dumps({'r': sec_list, 't': raw_data['t']},
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separators = (",", ":"))
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return base64.b64encode(raw_token.encode('utf-8')).decode() |