mirror of
https://github.com/xtekky/gpt4free.git
synced 2025-12-06 02:30:41 -08:00
c3d61ad9e3
- Changed default model in commit.py from "gpt-4o" to "claude-3.7-sonnet" - Fixed ARTA provider by adding proper auth token handling and form data submission - Updated Blackbox provider to use OpenRouter models instead of premium models - Improved DDG provider with simplified authentication and better error handling - Updated DeepInfraChat provider with new models and aliases - Removed non-working providers: Goabror, Jmuz, OIVSCode, AllenAI, ChatGptEs, FreeRouter, Glider - Moved non-working providers to the not_working directory - Added BlackboxPro provider in needs_auth directory with premium model support - Updated Liaobots provider with new models and improved authentication - Renamed Microsoft_Phi_4 to Microsoft_Phi_4_Multimodal for clarity - Updated LambdaChat provider with direct API implementation instead of HuggingChat - Updated models.py with new model definitions and provider mappings - Removed BlackForestLabs_Flux1Schnell from HuggingSpace providers - Updated model aliases across multiple providers for better compatibility - Fixed Dynaspark provider endpoint URL to prevent spam detection
525 lines
24 KiB
Python
525 lines
24 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import os
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import re
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import json
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import random
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import string
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from pathlib import Path
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from typing import Optional
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from datetime import datetime, timedelta
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from ..typing import AsyncResult, Messages, MediaListType
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from ..requests.raise_for_status import raise_for_status
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ..image import to_data_uri
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from .helper import render_messages
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from ..providers.response import JsonConversation
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from ..tools.media import merge_media
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from ..errors import RateLimitError
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from .. import debug
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class Conversation(JsonConversation):
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validated_value: str = None
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chat_id: str = None
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message_history: Messages = []
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def __init__(self, model: str):
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self.model = model
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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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# OpenRouter Free
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openrouter_models = [
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"Deepcoder 14B Preview",
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"DeepHermes 3 Llama 3 8B Preview",
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"DeepSeek R1 Zero",
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"Dolphin3.0 Mistral 24B",
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"Dolphin3.0 R1 Mistral 24B",
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"Flash 3", # FIX (<reasoning> ◁</reasoning>)
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"Gemini 2.0 Flash Experimental",
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"Gemma 2 9B",
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"Gemma 3 12B",
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"Gemma 3 1B",
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"Gemma 3 27B",
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"Gemma 3 4B",
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"Kimi VL A3B Thinking", # FIX (◁think▷ ◁/think▷)
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"Llama 3.1 8B Instruct",
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"Llama 3.1 Nemotron Ultra 253B v1",
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"Llama 3.2 11B Vision Instruct",
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"Llama 3.2 1B Instruct",
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"Llama 3.2 3B Instruct",
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"Llama 3.3 70B Instruct",
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"Llama 3.3 Nemotron Super 49B v1",
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"Llama 4 Maverick",
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"Llama 4 Scout",
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"Mistral 7B Instruct",
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"Mistral Nemo",
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"Mistral Small 3",
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"Mistral Small 3.1 24B",
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"Molmo 7B D",
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"Moonlight 16B A3B Instruct",
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"Qwen2.5 72B Instruct",
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"Qwen2.5 7B Instruct",
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"Qwen2.5 Coder 32B Instruct",
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"Qwen2.5 VL 32B Instruct",
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"Qwen2.5 VL 3B Instruct",
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"Qwen2.5 VL 72B Instruct",
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"Qwen2.5-VL 7B Instruct",
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"Qwerky 72B",
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"QwQ 32B",
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"QwQ 32B Preview",
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"QwQ 32B RpR v1",
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"R1",
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"R1 Distill Llama 70B",
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"R1 Distill Qwen 14B",
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"R1 Distill Qwen 32B",
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]
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models = [
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default_model,
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"o3-mini",
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"gpt-4.1-nano",
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"Claude-sonnet-3.7",
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"Claude-sonnet-3.5",
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"DeepSeek-R1",
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"Mistral-Small-24B-Instruct-2501",
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# OpenRouter Free
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*openrouter_models,
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# Trending agent modes
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'Python Agent',
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'HTML Agent',
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'Builder Agent',
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'Java Agent',
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'JavaScript Agent',
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'React Agent',
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'Android Agent',
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'Flutter Agent',
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'Next.js Agent',
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'AngularJS Agent',
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'Swift Agent',
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'MongoDB Agent',
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'PyTorch Agent',
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'Xcode Agent',
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'Azure Agent',
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'Bitbucket Agent',
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'DigitalOcean Agent',
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'Docker Agent',
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'Electron Agent',
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'Erlang Agent',
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'FastAPI Agent',
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'Firebase Agent',
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'Flask Agent',
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'Git Agent',
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'Gitlab Agent',
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'Go Agent',
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'Godot Agent',
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'Google Cloud Agent',
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'Heroku Agent'
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]
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vision_models = [default_vision_model, 'o3-mini']
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userSelectedModel = ['o3-mini','Claude-sonnet-3.7', 'Claude-sonnet-3.5', 'DeepSeek-R1', 'Mistral-Small-24B-Instruct-2501'] + openrouter_models
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# Agent mode configurations
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agentMode = {
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# OpenRouter Free
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'Deepcoder 14B Preview': {'mode': True, 'id': "agentica-org/deepcoder-14b-preview:free", 'name': "Deepcoder 14B Preview"},
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'DeepHermes 3 Llama 3 8B Preview': {'mode': True, 'id': "nousresearch/deephermes-3-llama-3-8b-preview:free", 'name': "DeepHermes 3 Llama 3 8B Preview"},
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'DeepSeek R1 Zero': {'mode': True, 'id': "deepseek/deepseek-r1-zero:free", 'name': "DeepSeek R1 Zero"},
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'Dolphin3.0 Mistral 24B': {'mode': True, 'id': "cognitivecomputations/dolphin3.0-mistral-24b:free", 'name': "Dolphin3.0 Mistral 24B"},
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'Dolphin3.0 R1 Mistral 24B': {'mode': True, 'id': "cognitivecomputations/dolphin3.0-r1-mistral-24b:free", 'name': "Dolphin3.0 R1 Mistral 24B"},
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'Flash 3': {'mode': True, 'id': "rekaai/reka-flash-3:free", 'name': "Flash 3"},
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'Gemini 2.0 Flash Experimental': {'mode': True, 'id': "google/gemini-2.0-flash-exp:free", 'name': "Gemini 2.0 Flash Experimental"},
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'Gemma 2 9B': {'mode': True, 'id': "google/gemma-2-9b-it:free", 'name': "Gemma 2 9B"},
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'Gemma 3 12B': {'mode': True, 'id': "google/gemma-3-12b-it:free", 'name': "Gemma 3 12B"},
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'Gemma 3 1B': {'mode': True, 'id': "google/gemma-3-1b-it:free", 'name': "Gemma 3 1B"},
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'Gemma 3 27B': {'mode': True, 'id': "google/gemma-3-27b-it:free", 'name': "Gemma 3 27B"},
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'Gemma 3 4B': {'mode': True, 'id': "google/gemma-3-4b-it:free", 'name': "Gemma 3 4B"},
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'Kimi VL A3B Thinking': {'mode': True, 'id': "moonshotai/kimi-vl-a3b-thinking:free", 'name': "Kimi VL A3B Thinking"},
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'Llama 3.1 8B Instruct': {'mode': True, 'id': "meta-llama/llama-3.1-8b-instruct:free", 'name': "Llama 3.1 8B Instruct"},
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'Llama 3.1 Nemotron Ultra 253B v1': {'mode': True, 'id': "nvidia/llama-3.1-nemotron-ultra-253b-v1:free", 'name': "Llama 3.1 Nemotron Ultra 253B v1"},
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'Llama 3.2 11B Vision Instruct': {'mode': True, 'id': "meta-llama/llama-3.2-11b-vision-instruct:free", 'name': "Llama 3.2 11B Vision Instruct"},
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'Llama 3.2 1B Instruct': {'mode': True, 'id': "meta-llama/llama-3.2-1b-instruct:free", 'name': "Llama 3.2 1B Instruct"},
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'Llama 3.2 3B Instruct': {'mode': True, 'id': "meta-llama/llama-3.2-3b-instruct:free", 'name': "Llama 3.2 3B Instruct"},
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'Llama 3.3 70B Instruct': {'mode': True, 'id': "meta-llama/llama-3.3-70b-instruct:free", 'name': "Llama 3.3 70B Instruct"},
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'Llama 3.3 Nemotron Super 49B v1': {'mode': True, 'id': "nvidia/llama-3.3-nemotron-super-49b-v1:free", 'name': "Llama 3.3 Nemotron Super 49B v1"},
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'Llama 4 Maverick': {'mode': True, 'id': "meta-llama/llama-4-maverick:free", 'name': "Llama 4 Maverick"},
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'Llama 4 Scout': {'mode': True, 'id': "meta-llama/llama-4-scout:free", 'name': "Llama 4 Scout"},
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'Mistral 7B Instruct': {'mode': True, 'id': "mistralai/mistral-7b-instruct:free", 'name': "Mistral 7B Instruct"},
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'Mistral Nemo': {'mode': True, 'id': "mistralai/mistral-nemo:free", 'name': "Mistral Nemo"},
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'Mistral Small 3': {'mode': True, 'id': "mistralai/mistral-small-24b-instruct-2501:free", 'name': "Mistral Small 3"},
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'Mistral Small 3.1 24B': {'mode': True, 'id': "mistralai/mistral-small-3.1-24b-instruct:free", 'name': "Mistral Small 3.1 24B"},
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'Molmo 7B D': {'mode': True, 'id': "allenai/molmo-7b-d:free", 'name': "Molmo 7B D"},
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'Moonlight 16B A3B Instruct': {'mode': True, 'id': "moonshotai/moonlight-16b-a3b-instruct:free", 'name': "Moonlight 16B A3B Instruct"},
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'Qwen2.5 72B Instruct': {'mode': True, 'id': "qwen/qwen-2.5-72b-instruct:free", 'name': "Qwen2.5 72B Instruct"},
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'Qwen2.5 7B Instruct': {'mode': True, 'id': "qwen/qwen-2.5-7b-instruct:free", 'name': "Qwen2.5 7B Instruct"},
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'Qwen2.5 Coder 32B Instruct': {'mode': True, 'id': "qwen/qwen-2.5-coder-32b-instruct:free", 'name': "Qwen2.5 Coder 32B Instruct"},
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'Qwen2.5 VL 32B Instruct': {'mode': True, 'id': "qwen/qwen2.5-vl-32b-instruct:free", 'name': "Qwen2.5 VL 32B Instruct"},
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'Qwen2.5 VL 3B Instruct': {'mode': True, 'id': "qwen/qwen2.5-vl-3b-instruct:free", 'name': "Qwen2.5 VL 3B Instruct"},
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'Qwen2.5 VL 72B Instruct': {'mode': True, 'id': "qwen/qwen2.5-vl-72b-instruct:free", 'name': "Qwen2.5 VL 72B Instruct"},
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'Qwen2.5-VL 7B Instruct': {'mode': True, 'id': "qwen/qwen-2.5-vl-7b-instruct:free", 'name': "Qwen2.5-VL 7B Instruct"},
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'Qwerky 72B': {'mode': True, 'id': "featherless/qwerky-72b:free", 'name': "Qwerky 72B"},
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'QwQ 32B': {'mode': True, 'id': "qwen/qwq-32b:free", 'name': "QwQ 32B"},
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'QwQ 32B Preview': {'mode': True, 'id': "qwen/qwq-32b-preview:free", 'name': "QwQ 32B Preview"},
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'QwQ 32B RpR v1': {'mode': True, 'id': "arliai/qwq-32b-arliai-rpr-v1:free", 'name': "QwQ 32B RpR v1"},
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'R1': {'mode': True, 'id': "deepseek/deepseek-r1:free", 'name': "R1"},
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'R1 Distill Llama 70B': {'mode': True, 'id': "deepseek/deepseek-r1-distill-llama-70b:free", 'name': "R1 Distill Llama 70B"},
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'R1 Distill Qwen 14B': {'mode': True, 'id': "deepseek/deepseek-r1-distill-qwen-14b:free", 'name': "R1 Distill Qwen 14B"},
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'R1 Distill Qwen 32B': {'mode': True, 'id': "deepseek/deepseek-r1-distill-qwen-32b:free", 'name': "R1 Distill Qwen 32B"},
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# Default
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'Claude-sonnet-3.7': {'mode': True, 'id': "Claude-sonnet-3.7", 'name': "Claude-sonnet-3.7"},
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'Claude-sonnet-3.5': {'mode': True, 'id': "Claude-sonnet-3.5", 'name': "Claude-sonnet-3.5"},
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'DeepSeek-R1': {'mode': True, 'id': "deepseek-reasoner", 'name': "DeepSeek-R1"},
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'Mistral-Small-24B-Instruct-2501': {'mode': True, 'id': "mistralai/Mistral-Small-24B-Instruct-2501", 'name': "Mistral-Small-24B-Instruct-2501"},
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}
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# Trending agent modes
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trendingAgentMode = {
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'Python Agent': {'mode': True, 'id': "python"},
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'HTML Agent': {'mode': True, 'id': "html"},
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'Builder Agent': {'mode': True, 'id': "builder"},
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'Java Agent': {'mode': True, 'id': "java"},
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'JavaScript Agent': {'mode': True, 'id': "javascript"},
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'React Agent': {'mode': True, 'id': "react"},
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'Android Agent': {'mode': True, 'id': "android"},
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'Flutter Agent': {'mode': True, 'id': "flutter"},
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'Next.js Agent': {'mode': True, 'id': "next.js"},
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'AngularJS Agent': {'mode': True, 'id': "angularjs"},
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'Swift Agent': {'mode': True, 'id': "swift"},
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'MongoDB Agent': {'mode': True, 'id': "mongodb"},
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'PyTorch Agent': {'mode': True, 'id': "pytorch"},
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'Xcode Agent': {'mode': True, 'id': "xcode"},
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'Azure Agent': {'mode': True, 'id': "azure"},
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'Bitbucket Agent': {'mode': True, 'id': "bitbucket"},
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'DigitalOcean Agent': {'mode': True, 'id': "digitalocean"},
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'Docker Agent': {'mode': True, 'id': "docker"},
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'Electron Agent': {'mode': True, 'id': "electron"},
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'Erlang Agent': {'mode': True, 'id': "erlang"},
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'FastAPI Agent': {'mode': True, 'id': "fastapi"},
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'Firebase Agent': {'mode': True, 'id': "firebase"},
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'Flask Agent': {'mode': True, 'id': "flask"},
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'Git Agent': {'mode': True, 'id': "git"},
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'Gitlab Agent': {'mode': True, 'id': "gitlab"},
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'Go Agent': {'mode': True, 'id': "go"},
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'Godot Agent': {'mode': True, 'id': "godot"},
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'Google Cloud Agent': {'mode': True, 'id': "googlecloud"},
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'Heroku Agent': {'mode': True, 'id': "heroku"},
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}
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# Complete list of all models (for authorized users)
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_all_models = list(dict.fromkeys([
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*models, # Include all free models
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*list(agentMode.keys()),
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*list(trendingAgentMode.keys())
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]))
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model_aliases = {
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"gpt-4": default_model,
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"gpt-4o": default_model,
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"gpt-4o-mini": default_model,
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"claude-3.7-sonnet": "Claude-sonnet-3.7",
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"claude-3.5-sonnet": "Claude-sonnet-3.5",
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"deepseek-r1": "DeepSeek-R1",
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#
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"deepcoder-14b": "Deepcoder 14B Preview",
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"deephermes-3-8b": "DeepHermes 3 Llama 3 8B Preview",
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"deepseek-r1-zero": "DeepSeek R1 Zero",
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"deepseek-r1": "DeepSeek R1 Zero",
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"dolphin-3.0-24b": "Dolphin3.0 Mistral 24B",
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"dolphin-3.0-r1-24b": "Dolphin3.0 R1 Mistral 24B",
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"reka-flash": "Flash 3",
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"gemini-2.0-flash": "Gemini 2.0 Flash Experimental",
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"gemma-2-9b": "Gemma 2 9B",
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"gemma-3-12b": "Gemma 3 12B",
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"gemma-3-1b": "Gemma 3 1B",
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"gemma-3-27b": "Gemma 3 27B",
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"gemma-3-4b": "Gemma 3 4B",
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"kimi-vl-a3b-thinking": "Kimi VL A3B Thinking",
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"llama-3.1-8b": "Llama 3.1 8B Instruct",
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"nemotron-253b": "Llama 3.1 Nemotron Ultra 253B v1",
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"llama-3.2-11b": "Llama 3.2 11B Vision Instruct",
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"llama-3.2-1b": "Llama 3.2 1B Instruct",
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"llama-3.2-3b": "Llama 3.2 3B Instruct",
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"llama-3.3-70b": "Llama 3.3 70B Instruct",
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"nemotron-49b": "Llama 3.3 Nemotron Super 49B v1",
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"llama-4-maverick": "Llama 4 Maverick",
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"llama-4-scout": "Llama 4 Scout",
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"mistral-7b": "Mistral 7B Instruct",
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"mistral-nemo": "Mistral Nemo",
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"mistral-small-24b": "Mistral Small 3",
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"mistral-small-24b": "Mistral-Small-24B-Instruct-2501",
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"mistral-small-3.1-24b": "Mistral Small 3.1 24B",
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"molmo-7b": "Molmo 7B D",
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"moonlight-16b": "Moonlight 16B A3B Instruct",
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"qwen-2.5-72b": "Qwen2.5 72B Instruct",
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"qwen-2.5-7b": "Qwen2.5 7B Instruct",
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"qwen-2.5-coder-32b": "Qwen2.5 Coder 32B Instruct",
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"qwen-2.5-vl-32b": "Qwen2.5 VL 32B Instruct",
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"qwen-2.5-vl-3b": "Qwen2.5 VL 3B Instruct",
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"qwen-2.5-vl-72b": "Qwen2.5 VL 72B Instruct",
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"qwen-2.5-vl-7b": "Qwen2.5-VL 7B Instruct",
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"qwerky-72b": "Qwerky 72B",
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"qwq-32b": "QwQ 32B",
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"qwq-32b-preview": "QwQ 32B Preview",
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"qwq-32b": "QwQ 32B Preview",
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"qwq-32b-arliai": "QwQ 32B RpR v1",
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"qwq-32b": "QwQ 32B RpR v1",
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"deepseek-r1": "R1",
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"deepseek-r1-distill-llama-70b": "R1 Distill Llama 70B",
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"deepseek-r1": "R1 Distill Llama 70B",
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"deepseek-r1-distill-qwen-14b": "R1 Distill Qwen 14B",
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"deepseek-r1": "R1 Distill Qwen 14B",
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"deepseek-r1-distill-qwen-32b": "R1 Distill Qwen 32B",
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"deepseek-r1": "R1 Distill Qwen 32B",
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}
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@classmethod
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def generate_session(cls, email: str, id_length: int = 21, days_ahead: int = 365) -> dict:
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"""
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Generate a dynamic session with proper ID and expiry format using a specific email.
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Args:
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email: The email to use for this session
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id_length: Length of the numeric ID (default: 21)
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days_ahead: Number of days ahead for expiry (default: 365)
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Returns:
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dict: A session dictionary with user information and expiry
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"""
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# Generate numeric ID
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numeric_id = ''.join(random.choice('0123456789') for _ in range(id_length))
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# Generate future expiry date
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future_date = datetime.now() + timedelta(days=days_ahead)
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expiry = future_date.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3] + 'Z'
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# Generate random image ID for the new URL format
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chars = string.ascii_letters + string.digits + "-"
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random_img_id = ''.join(random.choice(chars) for _ in range(48))
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image_url = f"https://lh3.googleusercontent.com/a/ACg8oc{random_img_id}=s96-c"
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return {
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"user": {
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"name": "BLACKBOX AI",
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"email": email,
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"image": image_url,
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"id": numeric_id
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},
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|
"expires": expiry,
|
|
"isNewUser": False
|
|
}
|
|
|
|
@classmethod
|
|
async def fetch_validated(cls, url: str = "https://www.blackbox.ai", force_refresh: bool = False) -> Optional[str]:
|
|
cache_path = Path(os.path.expanduser("~")) / ".g4f" / "cache"
|
|
cache_file = cache_path / 'blackbox.json'
|
|
|
|
if not force_refresh and cache_file.exists():
|
|
try:
|
|
with open(cache_file, 'r') as f:
|
|
data = json.load(f)
|
|
if data.get('validated_value'):
|
|
return data['validated_value']
|
|
except Exception as e:
|
|
debug.log(f"Blackbox: Error reading cache: {e}")
|
|
|
|
js_file_pattern = r'static/chunks/\d{4}-[a-fA-F0-9]+\.js'
|
|
uuid_pattern = r'["\']([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})["\']'
|
|
|
|
def is_valid_context(text: str) -> bool:
|
|
return any(char + '=' in text for char in 'abcdefghijklmnopqrstuvwxyz')
|
|
|
|
async with ClientSession() as session:
|
|
try:
|
|
async with session.get(url) as response:
|
|
if response.status != 200:
|
|
return None
|
|
|
|
page_content = await response.text()
|
|
js_files = re.findall(js_file_pattern, page_content)
|
|
|
|
for js_file in js_files:
|
|
js_url = f"{url}/_next/{js_file}"
|
|
async with session.get(js_url) as js_response:
|
|
if js_response.status == 200:
|
|
js_content = await js_response.text()
|
|
for match in re.finditer(uuid_pattern, js_content):
|
|
start = max(0, match.start() - 10)
|
|
end = min(len(js_content), match.end() + 10)
|
|
context = js_content[start:end]
|
|
|
|
if is_valid_context(context):
|
|
validated_value = match.group(1)
|
|
|
|
cache_file.parent.mkdir(exist_ok=True, parents=True)
|
|
try:
|
|
with open(cache_file, 'w') as f:
|
|
json.dump({'validated_value': validated_value}, f)
|
|
except Exception as e:
|
|
debug.log(f"Blackbox: Error writing cache: {e}")
|
|
|
|
return validated_value
|
|
|
|
except Exception as e:
|
|
debug.log(f"Blackbox: Error retrieving validated_value: {e}")
|
|
|
|
return None
|
|
|
|
@classmethod
|
|
def generate_id(cls, length: int = 7) -> str:
|
|
chars = string.ascii_letters + string.digits
|
|
return ''.join(random.choice(chars) for _ in range(length))
|
|
|
|
@classmethod
|
|
async def create_async_generator(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
prompt: str = None,
|
|
proxy: str = None,
|
|
media: MediaListType = None,
|
|
top_p: float = None,
|
|
temperature: float = None,
|
|
max_tokens: int = None,
|
|
conversation: Conversation = None,
|
|
return_conversation: bool = True,
|
|
**kwargs
|
|
) -> AsyncResult:
|
|
model = cls.get_model(model)
|
|
headers = {
|
|
'accept': '*/*',
|
|
'accept-language': 'en-US,en;q=0.9',
|
|
'content-type': 'application/json',
|
|
'origin': 'https://www.blackbox.ai',
|
|
'referer': 'https://www.blackbox.ai/',
|
|
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36'
|
|
}
|
|
|
|
async with ClientSession(headers=headers) as session:
|
|
if conversation is None or not hasattr(conversation, "chat_id"):
|
|
conversation = Conversation(model)
|
|
conversation.validated_value = await cls.fetch_validated()
|
|
conversation.chat_id = cls.generate_id()
|
|
conversation.message_history = []
|
|
|
|
current_messages = []
|
|
for i, msg in enumerate(render_messages(messages)):
|
|
msg_id = conversation.chat_id if i == 0 and msg["role"] == "user" else cls.generate_id()
|
|
current_msg = {
|
|
"id": msg_id,
|
|
"content": msg["content"],
|
|
"role": msg["role"]
|
|
}
|
|
current_messages.append(current_msg)
|
|
|
|
media = list(merge_media(media, messages))
|
|
if media:
|
|
current_messages[-1]['data'] = {
|
|
"imagesData": [
|
|
{
|
|
"filePath": f"/{image_name}",
|
|
"contents": to_data_uri(image)
|
|
}
|
|
for image, image_name in media
|
|
],
|
|
"fileText": "",
|
|
"title": ""
|
|
}
|
|
|
|
# Generate a new email for each request instead of using the one stored in conversation
|
|
chars = string.ascii_lowercase + string.digits
|
|
random_team = ''.join(random.choice(chars) for _ in range(8))
|
|
request_email = f"{random_team}@blackbox.ai"
|
|
|
|
# Generate a session with the new email
|
|
session_data = cls.generate_session(request_email)
|
|
debug.log(f"Blackbox: Using generated session with email {request_email}")
|
|
|
|
data = {
|
|
"messages": current_messages,
|
|
"agentMode": cls.agentMode.get(model, {}) if model in cls.agentMode else {},
|
|
"id": conversation.chat_id,
|
|
"previewToken": None,
|
|
"userId": None,
|
|
"codeModelMode": True,
|
|
"trendingAgentMode": cls.trendingAgentMode.get(model, {}) if model in cls.trendingAgentMode else {},
|
|
"isMicMode": False,
|
|
"userSystemPrompt": None,
|
|
"maxTokens": max_tokens,
|
|
"playgroundTopP": top_p,
|
|
"playgroundTemperature": temperature,
|
|
"isChromeExt": False,
|
|
"githubToken": "",
|
|
"clickedAnswer2": False,
|
|
"clickedAnswer3": False,
|
|
"clickedForceWebSearch": False,
|
|
"visitFromDelta": False,
|
|
"isMemoryEnabled": False,
|
|
"mobileClient": False,
|
|
"userSelectedModel": model if model in cls.userSelectedModel else None,
|
|
"validated": conversation.validated_value,
|
|
"imageGenerationMode": False,
|
|
"webSearchModePrompt": False,
|
|
"deepSearchMode": False,
|
|
"designerMode": False,
|
|
"domains": None,
|
|
"vscodeClient": False,
|
|
"codeInterpreterMode": False,
|
|
"customProfile": {
|
|
"additionalInfo": "",
|
|
"enableNewChats": False,
|
|
"name": "",
|
|
"occupation": "",
|
|
"traits": []
|
|
},
|
|
"session": session_data,
|
|
"isPremium": True,
|
|
"subscriptionCache": {
|
|
"expiryTimestamp": None,
|
|
"isTrialSubscription": False,
|
|
"lastChecked": int(datetime.now().timestamp() * 1000),
|
|
"status": "FREE",
|
|
"customerId": None
|
|
},
|
|
"beastMode": False,
|
|
"reasoningMode": False,
|
|
"webSearchMode": False
|
|
}
|
|
|
|
# Continue with the API request and async generator behavior
|
|
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
|
|
await raise_for_status(response)
|
|
|
|
# Collect the full response
|
|
full_response = []
|
|
async for chunk in response.content.iter_any():
|
|
if chunk:
|
|
chunk_text = chunk.decode()
|
|
if "You have reached your request limit for the hour" in chunk_text:
|
|
raise RateLimitError(chunk_text)
|
|
full_response.append(chunk_text)
|
|
yield chunk_text
|
|
|
|
full_response_text = ''.join(full_response)
|
|
|
|
# Handle conversation history
|
|
if return_conversation:
|
|
conversation.message_history.append({"role": "assistant", "content": full_response_text})
|
|
yield conversation
|