mirror of
https://github.com/xtekky/gpt4free.git
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244 lines
10 KiB
Python
244 lines
10 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import random
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import string
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import json
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import re
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import aiohttp
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from ..typing import AsyncResult, Messages, ImageType
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ..image import ImageResponse, to_data_uri
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class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
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label = "Blackbox AI"
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url = "https://www.blackbox.ai"
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api_endpoint = "https://www.blackbox.ai/api/chat"
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working = True
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supports_stream = True
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supports_system_message = True
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supports_message_history = True
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_last_validated_value = None
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default_model = 'blackboxai'
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image_models = ['Image Generation', 'repomap']
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userSelectedModel = ['gpt-4o', 'gemini-pro', 'claude-sonnet-3.5', 'blackboxai-pro']
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agentMode = {
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'Image Generation': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
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}
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trendingAgentMode = {
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"gemini-1.5-flash": {'mode': True, 'id': 'Gemini'},
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"llama-3.1-8b": {'mode': True, 'id': "llama-3.1-8b"},
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'llama-3.1-70b': {'mode': True, 'id': "llama-3.1-70b"},
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'llama-3.1-405b': {'mode': True, 'id': "llama-3.1-405"},
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#
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'Python Agent': {'mode': True, 'id': "Python Agent"},
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'Java Agent': {'mode': True, 'id': "Java Agent"},
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'JavaScript Agent': {'mode': True, 'id': "JavaScript Agent"},
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'HTML Agent': {'mode': True, 'id': "HTML Agent"},
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'Google Cloud Agent': {'mode': True, 'id': "Google Cloud Agent"},
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'Android Developer': {'mode': True, 'id': "Android Developer"},
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'Swift Developer': {'mode': True, 'id': "Swift Developer"},
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'Next.js Agent': {'mode': True, 'id': "Next.js Agent"},
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'MongoDB Agent': {'mode': True, 'id': "MongoDB Agent"},
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'PyTorch Agent': {'mode': True, 'id': "PyTorch Agent"},
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'React Agent': {'mode': True, 'id': "React Agent"},
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'Xcode Agent': {'mode': True, 'id': "Xcode Agent"},
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'AngularJS Agent': {'mode': True, 'id': "AngularJS Agent"},
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'blackboxai-pro': {'mode': True, 'id': "BLACKBOXAI-PRO"},
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#
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'repomap': {'mode': True, 'id': "repomap"},
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#
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'Heroku Agent': {'mode': True, 'id': "Heroku Agent"},
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'Godot Agent': {'mode': True, 'id': "Godot Agent"},
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'Go Agent': {'mode': True, 'id': "Go Agent"},
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'Gitlab Agent': {'mode': True, 'id': "Gitlab Agent"},
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'Git Agent': {'mode': True, 'id': "Git Agent"},
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'Flask Agent': {'mode': True, 'id': "Flask Agent"},
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'Firebase Agent': {'mode': True, 'id': "Firebase Agent"},
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'FastAPI Agent': {'mode': True, 'id': "FastAPI Agent"},
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'Erlang Agent': {'mode': True, 'id': "Erlang Agent"},
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'Electron Agent': {'mode': True, 'id': "Electron Agent"},
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'Docker Agent': {'mode': True, 'id': "Docker Agent"},
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'DigitalOcean Agent': {'mode': True, 'id': "DigitalOcean Agent"},
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'Bitbucket Agent': {'mode': True, 'id': "Bitbucket Agent"},
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'Azure Agent': {'mode': True, 'id': "Azure Agent"},
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'Flutter Agent': {'mode': True, 'id': "Flutter Agent"},
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'Youtube Agent': {'mode': True, 'id': "Youtube Agent"},
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'builder Agent': {'mode': True, 'id': "builder Agent"},
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}
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model_prefixes = {mode: f"@{value['id']}" for mode, value in trendingAgentMode.items() if mode not in ["gemini-1.5-flash", "llama-3.1-8b", "llama-3.1-70b", "llama-3.1-405b", "repomap"]}
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models = [default_model, *userSelectedModel, *list(agentMode.keys()), *list(trendingAgentMode.keys())]
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model_aliases = {
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"gemini-flash": "gemini-1.5-flash",
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"claude-3.5-sonnet": "claude-sonnet-3.5",
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"flux": "Image Generation",
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}
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@classmethod
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async def fetch_validated(cls):
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# If the key is already stored in memory, return it
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if cls._last_validated_value:
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return cls._last_validated_value
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# If the key is not found, perform a search
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async with aiohttp.ClientSession() as session:
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try:
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async with session.get(cls.url) as response:
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if response.status != 200:
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print("Failed to load the page.")
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return cls._last_validated_value
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page_content = await response.text()
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js_files = re.findall(r'static/chunks/\d{4}-[a-fA-F0-9]+\.js', page_content)
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key_pattern = re.compile(r'w="([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})"')
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for js_file in js_files:
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js_url = f"{cls.url}/_next/{js_file}"
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async with session.get(js_url) as js_response:
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if js_response.status == 200:
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js_content = await js_response.text()
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match = key_pattern.search(js_content)
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if match:
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validated_value = match.group(1)
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cls._last_validated_value = validated_value # Keep in mind
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return validated_value
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except Exception as e:
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print(f"Error fetching validated value: {e}")
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return cls._last_validated_value
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@staticmethod
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def generate_id(length=7):
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characters = string.ascii_letters + string.digits
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return ''.join(random.choice(characters) for _ in range(length))
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@classmethod
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def add_prefix_to_messages(cls, messages: Messages, model: str) -> Messages:
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prefix = cls.model_prefixes.get(model, "")
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if not prefix:
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return messages
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new_messages = []
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for message in messages:
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new_message = message.copy()
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if message['role'] == 'user':
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new_message['content'] = (prefix + " " + message['content']).strip()
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new_messages.append(new_message)
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return new_messages
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@classmethod
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def get_model(cls, model: str) -> str:
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if model in cls.models:
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return model
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elif model in cls.model_aliases:
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return cls.model_aliases[model]
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else:
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return cls.default_model
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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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web_search: bool = False,
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image: ImageType = None,
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image_name: str = None,
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**kwargs
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) -> AsyncResult:
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model = cls.get_model(model)
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message_id = cls.generate_id()
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messages_with_prefix = cls.add_prefix_to_messages(messages, model)
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validated_value = await cls.fetch_validated()
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if image is not None:
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messages_with_prefix[-1]['data'] = {
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'fileText': '',
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'imageBase64': to_data_uri(image),
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'title': image_name
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}
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headers = {
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'accept': '*/*',
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'accept-language': 'en-US,en;q=0.9',
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'cache-control': 'no-cache',
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'content-type': 'application/json',
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'origin': cls.url,
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'referer': f'{cls.url}/',
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'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Linux"',
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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 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
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}
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data = {
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"messages": messages_with_prefix,
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"id": message_id,
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"previewToken": None,
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"userId": None,
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"codeModelMode": True,
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"agentMode": cls.agentMode.get(model, {}) if model in cls.agentMode else {},
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"trendingAgentMode": cls.trendingAgentMode.get(model, {}) if model in cls.trendingAgentMode else {},
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"isMicMode": False,
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"userSystemPrompt": None,
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"maxTokens": 1024,
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"playgroundTopP": 0.9,
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"playgroundTemperature": 0.5,
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"isChromeExt": False,
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"githubToken": None,
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"clickedAnswer2": False,
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"clickedAnswer3": False,
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"clickedForceWebSearch": False,
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"visitFromDelta": False,
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"mobileClient": False,
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"userSelectedModel": model if model in cls.userSelectedModel else None,
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"webSearchMode": web_search,
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"validated": validated_value,
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}
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async with ClientSession(headers=headers) as session:
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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response_text = await response.text()
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if model in cls.image_models:
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image_matches = re.findall(r'!\[.*?\]\((https?://[^\)]+)\)', response_text)
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if image_matches:
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image_url = image_matches[0]
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image_response = ImageResponse(images=[image_url], alt="Generated Image")
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yield image_response
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return
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response_text = re.sub(r'Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai', '', response_text, flags=re.DOTALL)
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json_match = re.search(r'\$~~~\$(.*?)\$~~~\$', response_text, re.DOTALL)
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if json_match:
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search_results = json.loads(json_match.group(1))
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answer = response_text.split('$~~~$')[-1].strip()
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formatted_response = f"{answer}\n\n**Source:**"
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for i, result in enumerate(search_results, 1):
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formatted_response += f"\n{i}. {result['title']}: {result['link']}"
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yield formatted_response
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else:
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yield response_text.strip()
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