mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-23 19:11:48 +03:00
bbb858249b
- **Cloudflare Provider**: Added error handling for missing requirements when fetching arguments. - **Copilot Provider**: Updated the prompt formatting to use a maximum length function, improving message handling. - **PollinationsAI Provider**: Adjusted the prompt length to a maximum of 5000 characters. - **GitHub Copilot Provider**: Updated to use `ClientSession` for better session management. - **CSS Updates**: Enhanced the gradient styling in the GUI for a more visually appealing interface. - **JavaScript Updates**: Added functionality to toggle search options in the chat interface.
304 lines
13 KiB
Python
304 lines
13 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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import json
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from pathlib import Path
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from ..typing import AsyncResult, Messages, ImagesType
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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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from ..cookies import get_cookies_dir
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from .helper import format_prompt
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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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default_model = 'blackboxai'
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default_vision_model = default_model
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default_image_model = 'flux'
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image_models = ['ImageGeneration', 'repomap']
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vision_models = [default_model, 'gpt-4o', 'gemini-pro', 'gemini-1.5-flash', 'llama-3.1-8b', 'llama-3.1-70b', 'llama-3.1-405b']
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userSelectedModel = ['gpt-4o', 'gemini-pro', 'claude-sonnet-3.5', 'blackboxai-pro']
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agentMode = {
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'ImageGeneration': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
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'meta-llama/Llama-3.3-70B-Instruct-Turbo': {'mode': True, 'id': "meta-llama/Llama-3.3-70B-Instruct-Turbo", 'name': "Meta-Llama-3.3-70B-Instruct-Turbo"},
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'mistralai/Mistral-7B-Instruct-v0.2': {'mode': True, 'id': "mistralai/Mistral-7B-Instruct-v0.2", 'name': "Mistral-(7B)-Instruct-v0.2"},
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'deepseek-ai/deepseek-llm-67b-chat': {'mode': True, 'id': "deepseek-ai/deepseek-llm-67b-chat", 'name': "DeepSeek-LLM-Chat-(67B)"},
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'databricks/dbrx-instruct': {'mode': True, 'id': "databricks/dbrx-instruct", 'name': "DBRX-Instruct"},
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'meta-llama/Meta-Llama-3.1-405B-Instruct-Lite-Pro': {'mode': True, 'id': "meta-llama/Meta-Llama-3.1-405B-Instruct-Lite-Pro", 'name': "Meta-Llama-3.1-405B-Instruct-Turbo"}, #
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'Qwen/QwQ-32B-Preview': {'mode': True, 'id': "Qwen/QwQ-32B-Preview", 'name': "Qwen-QwQ-32B-Preview"},
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'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO': {'mode': True, 'id': "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO", 'name': "Nous-Hermes-2-Mixtral-8x7B-DPO"}
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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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#
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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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additional_prefixes = {
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'gpt-4o': '@GPT-4o',
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'gemini-pro': '@Gemini-PRO',
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'claude-sonnet-3.5': '@Claude-Sonnet-3.5'
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}
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model_prefixes = {
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**{
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mode: f"@{value['id']}" for mode, value in trendingAgentMode.items()
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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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},
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**additional_prefixes
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}
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models = list(dict.fromkeys([default_model, *userSelectedModel, *list(agentMode.keys()), *list(trendingAgentMode.keys())]))
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model_aliases = {
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### chat ###
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"gpt-4": "gpt-4o",
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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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"llama-3.3-70b": "meta-llama/Llama-3.3-70B-Instruct-Turbo",
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"mixtral-7b": "mistralai/Mistral-7B-Instruct-v0.2",
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"deepseek-chat": "deepseek-ai/deepseek-llm-67b-chat",
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"dbrx-instruct": "databricks/dbrx-instruct",
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"llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-Lite-Pro",
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"qwq-32b": "Qwen/QwQ-32B-Preview",
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"hermes-2-dpo": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
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### image ###
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"flux": "ImageGeneration",
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}
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@classmethod
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def _get_cache_file(cls) -> Path:
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dir = Path(get_cookies_dir())
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dir.mkdir(exist_ok=True)
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return dir / 'blackbox.json'
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@classmethod
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def _load_cached_value(cls) -> str | None:
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cache_file = cls._get_cache_file()
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if cache_file.exists():
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try:
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with open(cache_file, 'r') as f:
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data = json.load(f)
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return data.get('validated_value')
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except Exception as e:
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print(f"Error reading cache file: {e}")
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return None
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@classmethod
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def _save_cached_value(cls, value: str):
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cache_file = cls._get_cache_file()
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try:
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with open(cache_file, 'w') as f:
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json.dump({'validated_value': value}, f)
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except Exception as e:
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print(f"Error writing to cache file: {e}")
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@classmethod
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async def fetch_validated(cls):
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# Let's try to load the value from the cache first
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cached_value = cls._load_cached_value()
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if cached_value:
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return cached_value
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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 cached_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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# Save the new value to the cache file
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cls._save_cached_value(validated_value)
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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 cached_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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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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prompt: str = None,
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proxy: str = None,
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web_search: bool = False,
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images: ImagesType = None,
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top_p: float = None,
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temperature: float = None,
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max_tokens: int = None,
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**kwargs
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) -> AsyncResult:
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message_id = cls.generate_id()
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messages = cls.add_prefix_to_messages(messages, model)
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validated_value = await cls.fetch_validated()
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formatted_message = format_prompt(messages)
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model = cls.get_model(model)
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messages = [{"id": message_id, "content": formatted_message, "role": "user"}]
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if images is not None:
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messages[-1]['data'] = {
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"imagesData": [
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{
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"filePath": f"MultipleFiles/{image_name}",
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"contents": to_data_uri(image)
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}
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for image, image_name in images
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],
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"fileText": "",
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"title": ""
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}
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headers = {
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'accept': '*/*',
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'content-type': 'application/json',
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'origin': cls.url,
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'referer': f'{cls.url}/',
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'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36'
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}
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data = {
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"agentMode": cls.agentMode.get(model, {}) if model in cls.agentMode else {},
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"clickedAnswer2": False,
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"clickedAnswer3": False,
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"clickedForceWebSearch": False,
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"codeModelMode": True,
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"deepSearchMode": False,
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"githubToken": None,
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"id": message_id,
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"imageGenerationMode": False,
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"isChromeExt": False,
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"isMicMode": False,
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"maxTokens": max_tokens,
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"messages": messages,
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"mobileClient": False,
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"playgroundTemperature": temperature,
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"playgroundTopP": top_p,
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"previewToken": None,
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"trendingAgentMode": cls.trendingAgentMode.get(model, {}) if model in cls.trendingAgentMode else {},
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"userId": None,
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"userSelectedModel": model if model in cls.userSelectedModel else None,
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"userSystemPrompt": None,
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"validated": validated_value,
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"visitFromDelta": False,
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"webSearchModePrompt": False,
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"webSearchMode": web_search
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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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yield ImageResponse(image_url, prompt)
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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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response_text = re.sub(r'and for API requests replace https://www.blackbox.ai with https://api.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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