Upload 15 files

.dockerignore

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+__pycache__
+*.pyc
+*.pyo
+*.pyd
+*.db
+*.sqlite3
+.env
+.git
+.gitignore
+Dockerfile

.github/workflows/docker-deploy.yml

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+name: Docker Build and Push
+
+on:
+  push:
+    branches:
+      - main  # Triggers the workflow when changes are pushed to the 'main' branch
+  pull_request:
+    branches:
+      - main  # Optional: Trigger on pull requests to 'main' for testing
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    
+    steps:
+    # Step 1: Check out the repository
+    - name: Checkout code
+      uses: actions/checkout@v3  # Check out your GitHub repository
+
+    # Step 2: Set up Docker Buildx
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v2  # Set up Docker Buildx to support advanced features like multi-platform builds
+      with:
+        install: true
+
+    # Step 3: Log in to Docker Hub
+    - name: Log in to Docker Hub
+      uses: docker/login-action@v2  # Logs in to Docker Hub
+      with:
+        username: ${{ secrets.DOCKER_USERNAME }}  # Your Docker Hub username stored as a GitHub secret
+        password: ${{ secrets.DOCKER_PASSWORD }}  # Your Docker Hub password stored as a GitHub secret
+
+    # Step 4: Build and push the Docker image
+    - name: Build and Push Docker Image
+      uses: docker/build-push-action@v5  # Build and push the Docker image
+      with:
+        context: .  # The context is the root of your repository
+        push: true  # Automatically push the image after building
+        tags: ${{ secrets.DOCKER_USERNAME }}/blackboxv2:v786  # Replace 'your-app-name' with your desired Docker image name
+
+    # Step 5: Log out of Docker Hub
+    - name: Log out of Docker Hub
+      run: docker logout

Dockerfile

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+# Use the official Python 3.10 slim image
+FROM python:3.10-slim
+
+# Set environment variables to prevent Python from writing pyc files and to buffer stdout/stderr
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# Set the working directory to /app
+WORKDIR /app
+
+# Install system dependencies to get `nproc` (for number of CPU cores)
+RUN apt-get update && apt-get install -y procps
+
+# Copy only the requirements.txt first to leverage Docker cache
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code
+COPY . .
+
+# Expose port 8001 to the outside world
+EXPOSE 8001
+
+# Command to run Uvicorn with a dynamic number of workers based on the CPU cores
+CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port 8001 --workers $(nproc)"]

README.md

@@ -1,10 +1 @@
----
-title: Test101
-emoji: 👀
-colorFrom: pink
-colorTo: red
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Blackboxv2

api/app.py

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+from fastapi import FastAPI, Request
+from starlette.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+from api.logger import setup_logger
+from api.routes import router
+
+
+logger = setup_logger(__name__)
+
+def create_app():
+    app = FastAPI(
+        title="NiansuhAI API Gateway",
+        docs_url=None,          # Disable Swagger UI
+        redoc_url=None,         # Disable ReDoc
+        openapi_url=None,       # Disable OpenAPI schema
+    )
+
+    # CORS settings
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=["*"],                   # Adjust as needed for security
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+
+    # Include routes
+    app.include_router(router)
+
+    # Global exception handler for better error reporting
+    @app.exception_handler(Exception)
+    async def global_exception_handler(request: Request, exc: Exception):
+        logger.error(f"An error occurred: {str(exc)}")
+        return JSONResponse(
+            status_code=500,
+            content={"message": "An internal server error occurred."},
+        )
+
+    return app
+
+app = create_app()

api/auth.py

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+from fastapi import Depends, HTTPException
+from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
+from api.config import APP_SECRET
+
+security = HTTPBearer()
+
+def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
+    if credentials.credentials != APP_SECRET:
+        raise HTTPException(status_code=403, detail="Invalid APP_SECRET")
+    return credentials.credentials

api/config.py

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+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+BASE_URL = "https://www.blackbox.ai"
+common_headers = {
+    'accept': '*/*',
+    'accept-language': 'en-US,en;q=0.9',
+    'content-type': 'application/json',
+    'origin': BASE_URL,
+    'priority': 'u=1, i',
+    'sec-ch-ua': '"Google Chrome";v="131", "Chromium";v="131", "Not_A Brand";v="24"',
+    'sec-ch-ua-arch': '"x86"',
+    'sec-ch-ua-bitness': '"64"',
+    'sec-ch-ua-full-version': '"131.0.6778.86"',
+    'sec-ch-ua-full-version-list': '"Google Chrome";v="131.0.6778.86", "Chromium";v="131.0.6778.86", "Not_A Brand";v="24.0.0.0"',
+    'sec-ch-ua-mobile': '?0',
+    'sec-ch-ua-model': '""',
+    'sec-ch-ua-platform': '"Windows"',
+    'sec-ch-ua-platform-version': '"19.0.0"',
+    'sec-fetch-dest': 'empty',
+    'sec-fetch-mode': 'cors',
+    'sec-fetch-site': 'same-origin',
+    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36',
+}
+# Header Configurations for Specific API Calls
+def get_headers_api_chat(referer_url):
+    return {**common_headers, 'Content-Type': 'application/json', 'Referer': referer_url}
+
+def get_headers_chat(chat_url, next_action, next_router_state_tree):
+    return {
+        **common_headers,
+        'Accept': 'text/x-component',
+        'Content-Type': 'text/plain;charset=UTF-8',
+        'Referer': chat_url,
+        'next-action': next_action,
+        'next-router-state-tree': next_router_state_tree,
+        'next-url': '/',
+    }
+
+APP_SECRET = os.getenv("APP_SECRET")
+
+ALLOWED_MODELS = [
+    {"id": "blackboxai", "name": "blackboxai"},
+    {"id": "blackboxai-pro", "name": "blackboxai-pro"},
+    {"id": "flux", "name": "flux"},
+    {"id": "llama-3.1-8b", "name": "llama-3.1-8b"},
+    {"id": "llama-3.1-70b", "name": "llama-3.1-70b"},
+    {"id": "llama-3.1-405b", "name": "llama-3.1-405"},
+    {"id": "gpt-4o", "name": "gpt-4o"},
+    {"id": "gpt-4o-2024-05-13", "name": "gpt-4o"},
+    {"id": "gemini-pro", "name": "gemini-pro"},
+    {"id": "gemini-1.5-flash", "name": "gemini-1.5-flash"},
+    {"id": "claude-sonnet-3.5", "name": "claude-sonnet-3.5"},
+    {"id": "Meta-Llama-3.3-70B-Instruct-Turbo", "name": "Meta-Llama-3.3-70B-Instruct-Turbo"},
+    {"id": "Mistral-7B-Instruct-v0.2", "name": "Mistral-7B-Instruct-v0.2"},
+    {"id": "deepseek-llm-67b-chat", "name": "deepseek-llm-67b-chat"},
+    {"id": "dbrx-instruct", "name": "dbrx-instruct"},
+    {"id": "Meta-Llama-3.1-405B-Instruct-Turbo", "name": "Meta-Llama-3.1-405B-Instruct-Turbo"},
+    {"id": "Qwen-QwQ-32B-Preview", "name": "Qwen-QwQ-32B-Preview"},
+    {"id": "Nous-Hermes-2-Mixtral-8x7B-DPO", "name": "Nous-Hermes-2-Mixtral-8x7B-DPO"},
+    {"id": "PythonAgent", "name": "python"},
+    {"id": "JavaAgent", "name": "java"},
+    {"id": "JavaScriptAgent", "name": "javascript"},
+    {"id": "HTMLAgent", "name": "html"},
+    {"id": "GoogleCloudAgent", "name": "googlecloud"},
+    {"id": "AndroidDeveloper", "name": "androiddeveloper"},
+    {"id": "SwiftDeveloper", "name": "swiftdeveloper"},
+    {"id": "Next.jsAgent", "name": "next.js"},
+    {"id": "MongoDBAgent", "name": "mongodb"},
+    {"id": "PyTorchAgent", "name": "pytorch"},
+    {"id": "ReactAgent", "name": "react"},
+    {"id": "XcodeAgent", "name": "xcode"},
+    {"id": "AngularJSAgent", "name": "angularjs"},
+    {"id": "HerokuAgent", "name": "heroku"},
+    {"id": "GodotAgent", "name": "godot"},
+    {"id": "GoAgent", "name": "go"},
+    {"id": "GitlabAgent", "name": "gitlab"},
+    {"id": "GitAgent", "name": "git"},
+    {"id": "RepoMap", "name": "repomap"},
+    {"id": "gemini-1.5-pro-latest", "name": "gemini-pro"},
+    {"id": "gemini-1.5-pro", "name": "gemini-pro"},
+    {"id": "claude-3-5-sonnet-20240620", "name": "claude-sonnet-3.5"},
+    {"id": "claude-3-5-sonnet", "name": "claude-sonnet-3.5"},
+    {"id": "Niansuh", "name": "niansuh"},
+    {"id": "o1-preview", "name": "o1-preview"},
+    {"id": "claude-3-5-sonnet-20241022", "name": "claude-3-5-sonnet-20241022"},
+    {"id": "claude-3-5-sonnet-x", "name": "claude-3-5-sonnet-x"},
+    {"id": "gpt-3.5-turbo", "name": "gpt-3.5-turbo"},
+    {"id": "gpt-3.5-turbo-202201", "name": "gpt-3.5-turbo-202201"},
+
+    # Added New Agents
+    {"id": "FlaskAgent", "name": "flask"},
+    {"id": "FirebaseAgent", "name": "firebase"},
+    {"id": "FastAPIAgent", "name": "fastapi"},
+    {"id": "ErlangAgent", "name": "erlang"},
+    {"id": "ElectronAgent", "name": "electron"},
+    {"id": "DockerAgent", "name": "docker"},
+    {"id": "DigitalOceanAgent", "name": "digitalocean"},
+    {"id": "BitbucketAgent", "name": "bitbucket"},
+    {"id": "AzureAgent", "name": "azure"},
+    {"id": "FlutterAgent", "name": "flutter"},
+    {"id": "YoutubeAgent", "name": "youtube"},
+    {"id": "builderAgent", "name": "builder"},
+]
+
+MODEL_MAPPING = {
+    "blackboxai": "blackboxai",
+    "blackboxai-pro": "blackboxai-pro",
+    "flux": "flux",
+    "ImageGeneration": "flux",
+    "llama-3.1-8b": "llama-3.1-8b",
+    "llama-3.1-70b": "llama-3.1-70b",
+    "llama-3.1-405b": "llama-3.1-405",
+    "gpt-4o": "gpt-4o",
+    "gpt-4o-2024-05-13": "gpt-4o",
+    "gemini-pro": "gemini-pro",
+    "gemini-1.5-flash": "gemini-1.5-flash",
+    "claude-sonnet-3.5": "claude-sonnet-3.5",
+    "Meta-Llama-3.3-70B-Instruct-Turbo": "Meta-Llama-3.3-70B-Instruct-Turbo",
+    "Mistral-7B-Instruct-v0.2": "Mistral-7B-Instruct-v0.2",
+    "deepseek-llm-67b-chat": "deepseek-llm-67b-chat",
+    "dbrx-instruct": "dbrx-instruct",
+    "Meta-Llama-3.1-405B-Instruct-Turbo": "Meta-Llama-3.1-405B-Instruct-Turbo",
+    "Qwen-QwQ-32B-Preview": "Qwen-QwQ-32B-Preview",
+    "Nous-Hermes-2-Mixtral-8x7B-DPO": "Nous-Hermes-2-Mixtral-8x7B-DPO",
+    "PythonAgent": "python",
+    "JavaAgent": "java",
+    "JavaScriptAgent": "javascript",
+    "HTMLAgent": "html",
+    "GoogleCloudAgent": "googlecloud",
+    "AndroidDeveloper": "androiddeveloper",
+    "SwiftDeveloper": "swiftdeveloper",
+    "Next.jsAgent": "next.js",
+    "MongoDBAgent": "mongodb",
+    "PyTorchAgent": "pytorch",
+    "ReactAgent": "react",
+    "XcodeAgent": "xcode",
+    "AngularJSAgent": "angularjs",
+    "HerokuAgent": "heroku",
+    "GodotAgent": "godot",
+    "GoAgent": "go",
+    "GitlabAgent": "gitlab",
+    "GitAgent": "git",
+    "RepoMap": "repomap",
+    # Additional mappings
+    "gemini-flash": "gemini-1.5-flash",
+    "claude-3.5-sonnet": "claude-sonnet-3.5",
+    "gemini-1.5-pro-latest": "gemini-pro",
+    "gemini-1.5-pro": "gemini-pro",
+    "claude-3-5-sonnet-20240620": "claude-sonnet-3.5",
+    "claude-3-5-sonnet": "claude-sonnet-3.5",
+    "Niansuh": "niansuh",
+    "o1-preview": "o1-preview",
+    "claude-3-5-sonnet-20241022": "claude-3-5-sonnet-20241022",
+    "claude-3-5-sonnet-x": "claude-3-5-sonnet-x",
+    "gpt-3.5-turbo": "gpt-3.5-turbo",
+    "gpt-3.5-turbo-202201": "gpt-3.5-turbo-202201",
+
+    # Added New Agents
+    "FlaskAgent": "flask",
+    "FirebaseAgent": "firebase",
+    "FastAPIAgent": "fastapi",
+    "ErlangAgent": "erlang",
+    "ElectronAgent": "electron",
+    "DockerAgent": "docker",
+    "DigitalOceanAgent": "digitalocean",
+    "BitbucketAgent": "bitbucket",
+    "AzureAgent": "azure",
+    "FlutterAgent": "flutter",
+    "YoutubeAgent": "youtube",
+    "builderAgent": "builder",
+}
+
+# Agent modes
+AGENT_MODE = {
+    'flux': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "flux"},
+    'Niansuh': {'mode': True, 'id': "NiansuhAIk1HgESy", 'name': "niansuh"},
+    'o1-preview': {'mode': True, 'id': "o1Dst8La8", 'name': "o1-preview"},
+    'claude-3-5-sonnet-20241022': {'mode': True, 'id': "Claude-Sonnet-3.5zO2HZSF", 'name': "claude-3-5-sonnet-20241022"},
+    'claude-3-5-sonnet-x': {'mode': True, 'id': "Claude-Sonnet-3.52022JE0UdQ3", 'name': "claude-3-5-sonnet-x"},
+    'gpt-3.5-turbo': {'mode': True, 'id': "GPT-3.5-TurboYxtGz0H", 'name': "gpt-3.5-turbo"},
+    'gpt-3.5-turbo-202201': {'mode': True, 'id': "GPT-3.5-Turbo-202201PNWREyV", 'name': "gpt-3.5-turbo-202201"},
+    'Meta-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"},
+    'Mistral-7B-Instruct-v0.2': {'mode': True, 'id': "mistralai/Mistral-7B-Instruct-v0.2", 'name': "Mistral-7B-Instruct-v0.2"},
+    'deepseek-llm-67b-chat': {'mode': True, 'id': "deepseek-ai/deepseek-llm-67b-chat", 'name': "deepseek-llm-67b-chat"},
+    'dbrx-instruct': {'mode': True, 'id': "databricks/dbrx-instruct", 'name': "dbrx-instruct"},
+    'Meta-Llama-3.1-405B-Instruct-Turbo': {'mode': True, 'id': "meta-llama/Meta-Llama-3.1-405B-Instruct-Lite-Pro", 'name': "Meta-Llama-3.1-405B-Instruct-Turbo"},
+    'Qwen-QwQ-32B-Preview': {'mode': True, 'id': "Qwen/QwQ-32B-Preview", 'name': "Qwen-QwQ-32B-Preview"},
+    'Nous-Hermes-2-Mixtral-8x7B-DPO': {'mode': True, 'id': "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO", 'name': "Nous-Hermes-2-Mixtral-8x7B-DPO"},
+
+}
+
+TRENDING_AGENT_MODE = {
+    "blackboxai": {},
+    "gemini-1.5-flash": {'mode': True, 'id': 'gemini'},
+    "llama-3.1-8b": {'mode': True, 'id': "llama-3.1-8b"},
+    'llama-3.1-70b': {'mode': True, 'id': "llama-3.1-70b"},
+    'llama-3.1-405b': {'mode': True, 'id': "llama-3.1-405"},
+    'blackboxai-pro': {'mode': True, 'id': "blackboxai-pro"},
+    'PythonAgent': {'mode': True, 'id': "python"},
+    'JavaAgent': {'mode': True, 'id': "java"},
+    'JavaScriptAgent': {'mode': True, 'id': "javascript"},
+    'HTMLAgent': {'mode': True, 'id': "html"},
+    'GoogleCloudAgent': {'mode': True, 'id': "googlecloud"},
+    'AndroidDeveloper': {'mode': True, 'id': "android"},
+    'SwiftDeveloper': {'mode': True, 'id': "swift"},
+    'Next.jsAgent': {'mode': True, 'id': "next.js"},
+    'MongoDBAgent': {'mode': True, 'id': "mongodb"},
+    'PyTorchAgent': {'mode': True, 'id': "pytorch"},
+    'ReactAgent': {'mode': True, 'id': "react"},
+    'XcodeAgent': {'mode': True, 'id': "xcode"},
+    'AngularJSAgent': {'mode': True, 'id': "angularjs"},
+    'HerokuAgent': {'mode': True, 'id': "heroku"},
+    'GodotAgent': {'mode': True, 'id': "godot"},
+    'GoAgent': {'mode': True, 'id': "go"},
+    'GitlabAgent': {'mode': True, 'id': "gitlab"},
+    'GitAgent': {'mode': True, 'id': "git"},
+    'RepoMap': {'mode': True, 'id': "repomap"},
+    'FlaskAgent': {'mode': True, 'id': "flask"},
+    'FirebaseAgent': {'mode': True, 'id': "firebase"},
+    'FastAPIAgent': {'mode': True, 'id': "fastapi"},
+    'ErlangAgent': {'mode': True, 'id': "erlang"},
+    'ElectronAgent': {'mode': True, 'id': "electron"},
+    'DockerAgent': {'mode': True, 'id': "docker"},
+    'DigitalOceanAgent': {'mode': True, 'id': "digitalocean"},
+    'BitbucketAgent': {'mode': True, 'id': "bitbucket"},
+    'AzureAgent': {'mode': True, 'id': "azure"},
+    'FlutterAgent': {'mode': True, 'id': "flutter"},
+    'YoutubeAgent': {'mode': True, 'id': "youtube"},
+    'builderAgent': {'mode': True, 'id': "builder"},
+}
+
+# Model prefixes
+MODEL_PREFIXES = {
+    'gpt-4o': '@GPT-4o',
+    'claude-sonnet-3.5': '@Claude-Sonnet-3.5',
+    'gemini-pro': '@Gemini-PRO',
+    'PythonAgent': '@python',
+    'JavaAgent': '@java',
+    'JavaScriptAgent': '@javascript',
+    'HTMLAgent': '@html',
+    'GoogleCloudAgent': '@googlecloud',
+    'AndroidDeveloper': '@android',
+    'SwiftDeveloper': '@swift',
+    'Next.jsAgent': '@next.js',
+    'MongoDBAgent': '@mongodb',
+    'PyTorchAgent': '@pytorch',
+    'ReactAgent': '@react',
+    'XcodeAgent': '@xcode',
+    'AngularJSAgent': '@angularjs',
+    'HerokuAgent': '@heroku',
+    'GodotAgent': '@godot',
+    'GoAgent': '@go',
+    'GitlabAgent': '@gitlab',
+    'GitAgent': '@git',
+    'blackboxai-pro': '@blackboxai-pro',
+    'FlaskAgent': '@flask',
+    'FirebaseAgent': '@firebase',
+    'FastAPIAgent': '@fastapi',
+    'ErlangAgent': '@erlang',
+    'ElectronAgent': '@electron',
+    'DockerAgent': '@docker',
+    'DigitalOceanAgent': '@digitalocean',
+    'BitbucketAgent': '@bitbucket',
+    'AzureAgent': '@azure',
+    'FlutterAgent': '@flutter',
+    'YoutubeAgent': '@youtube',
+    'builderAgent': '@builder',
+}
+
+# Model referers
+MODEL_REFERERS = {
+    "blackboxai": "/?model=blackboxai",
+    "gpt-4o": "/?model=gpt-4o",
+    "gemini-pro": "/?model=gemini-pro",
+    "claude-sonnet-3.5": "/?model=claude-sonnet-3.5",
+    "blackboxai-pro": "/?model=blackboxai-pro",
+}

api/logger.py

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+import logging
+
+# Setup logger with a consistent format
+def setup_logger(name):
+    logger = logging.getLogger(name)
+    if not logger.handlers:
+        logger.setLevel(logging.INFO)
+        formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+        
+        # Console handler
+        console_handler = logging.StreamHandler()
+        console_handler.setFormatter(formatter)
+        logger.addHandler(console_handler)
+        
+        # File Handler - Error Level
+        # error_file_handler = logging.FileHandler('error.log')
+        # error_file_handler.setFormatter(formatter)
+        # error_file_handler.setLevel(logging.ERROR)
+        # logger.addHandler(error_file_handler)
+    
+    return logger
+
+logger = setup_logger(__name__)
+
+# Log functions to structure specific logs in utils.py
+def log_generated_chat_id_with_referer(chat_id, model, referer_url):
+    """
+    Log the generated Chat ID with model and referer URL if it exists.
+    """
+    logger.info(f"Generated Chat ID: {chat_id} - Model: {model} - URL: {referer_url}")
+
+def log_model_delay(delay_seconds, model, chat_id):
+    """
+    Log the delay introduced for specific models.
+    """
+    logger.info(f"Introducing a delay of {delay_seconds} seconds for model '{model}' (Chat ID: {chat_id})")
+
+def log_http_error(error, chat_id):
+    """
+    Log HTTP errors encountered during requests.
+    """
+    logger.error(f"HTTP error occurred for Chat ID {chat_id}: {error}")
+
+def log_request_error(error, chat_id):
+    """
+    Log request errors unrelated to HTTP status.
+    """
+    logger.error(f"Request error occurred for Chat ID {chat_id}: {error}")
+
+def log_strip_prefix(model_prefix, content):
+    """
+    Log when a model prefix is stripped from the content.
+    """
+    logger.debug(f"Stripping prefix '{model_prefix}' from content.")

api/models.py

@@ -0,0 +1,14 @@
+from typing import List, Optional
+from pydantic import BaseModel
+
+class Message(BaseModel):
+    role: str
+    content: str | list
+
+class ChatRequest(BaseModel):
+    model: str
+    messages: List[Message]
+    stream: Optional[bool] = False
+    temperature: Optional[float] = 0.5
+    top_p: Optional[float] = 0.9
+    max_tokens: Optional[int] = 99999999

api/routes.py

@@ -0,0 +1,66 @@
+import json
+from fastapi import APIRouter, Depends, HTTPException, Request, Response
+from fastapi.responses import StreamingResponse
+from api.auth import verify_app_secret
+from api.config import ALLOWED_MODELS
+from api.models import ChatRequest
+from api.utils import process_non_streaming_response, process_streaming_response
+from api.logger import setup_logger
+
+logger = setup_logger(__name__)
+
+router = APIRouter()
+
+@router.options("/v1/chat/completions")
+@router.options("/api/v1/chat/completions")
+async def chat_completions_options():
+    return Response(
+        status_code=200,
+        headers={
+            "Access-Control-Allow-Origin": "*",
+            "Access-Control-Allow-Methods": "POST, OPTIONS",
+            "Access-Control-Allow-Headers": "Content-Type, Authorization",
+        },
+    )
+
+@router.get("/v1/models")
+@router.get("/api/v1/models")
+async def list_models():
+    return {"object": "list", "data": ALLOWED_MODELS}
+
+@router.post("/v1/chat/completions")
+@router.post("/api/v1/chat/completions")
+async def chat_completions(
+    request: ChatRequest, app_secret: str = Depends(verify_app_secret)
+):
+    logger.info("Entering chat_completions route")
+    logger.info(f"Processing chat completion request for model: {request.model}")
+
+    if request.model not in [model["id"] for model in ALLOWED_MODELS]:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Model {request.model} is not allowed. Allowed models are: {', '.join(model['id'] for model in ALLOWED_MODELS)}",
+        )
+
+    if request.stream:
+        logger.info("Streaming response")
+        return StreamingResponse(process_streaming_response(request), media_type="text/event-stream")
+    else:
+        logger.info("Non-streaming response")
+        return await process_non_streaming_response(request)
+
+@router.route('/')
+@router.route('/healthz')
+@router.route('/ready')
+@router.route('/alive')
+@router.route('/status')
+@router.get("/health")
+def health_check(request: Request):
+    return Response(
+        content=json.dumps({
+            "message": "Welcome to the NiansuhAI API!",
+            "inspiration": "Failure is the first step to success."
+        }),
+        media_type="application/json",
+        status_code=421  # Changing the status code to 421
+    )

api/utils.py

@@ -0,0 +1,418 @@
+from datetime import datetime
+import json
+import uuid
+import asyncio
+import random
+import string
+from typing import Any, Dict, Optional
+
+import httpx
+from fastapi import HTTPException
+from api.config import (
+    MODEL_MAPPING,
+    get_headers_api_chat,
+    get_headers_chat,
+    BASE_URL,
+    AGENT_MODE,
+    TRENDING_AGENT_MODE,
+    MODEL_PREFIXES,
+    MODEL_REFERERS
+)
+from api.models import ChatRequest
+from api.logger import setup_logger
+from api.validate import getHid  # Import the asynchronous getHid function
+import tiktoken
+
+logger = setup_logger(__name__)
+
+# Define the blocked message
+BLOCKED_MESSAGE = "Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai and for API requests replace https://www.blackbox.ai with https://api.blackbox.ai"
+
+# Function to calculate tokens using tiktoken
+def calculate_tokens(text: str, model: str) -> int:
+    try:
+        encoding = tiktoken.encoding_for_model(model)
+        tokens = encoding.encode(text)
+        return len(tokens)
+    except KeyError:
+        # Handle the case where the model is not supported by tiktoken
+        logger.warning(f"Model '{model}' not supported by tiktoken for token counting. Using a generic method.")
+        return len(text.split())
+
+# Helper function to create chat completion data
+def create_chat_completion_data(
+    content: str, model: str, timestamp: int, request_id: str, prompt_tokens: int = 0, completion_tokens: int = 0, finish_reason: Optional[str] = None
+) -> Dict[str, Any]:
+    if finish_reason == "stop":
+        usage = {
+            "prompt_tokens": prompt_tokens,
+            "completion_tokens": completion_tokens,
+            "total_tokens": prompt_tokens + completion_tokens,
+        }
+    else:
+        usage = None
+    return {
+        "id": request_id,
+        "object": "chat.completion.chunk",
+        "created": timestamp,
+        "model": model,
+        "choices": [
+            {
+                "index": 0,
+                "delta": {"content": content, "role": "assistant"},
+                "finish_reason": finish_reason,
+            }
+        ],
+        "usage": usage,
+    }
+
+# Function to convert message to dictionary format, ensuring base64 data and optional model prefix
+def message_to_dict(message, model_prefix: Optional[str] = None):
+    content = message.content if isinstance(message.content, str) else message.content[0]["text"]
+    if model_prefix:
+        content = f"{model_prefix} {content}"
+    if isinstance(message.content, list) and len(message.content) == 2 and "image_url" in message.content[1]:
+        # Ensure base64 images are always included for all models
+        image_base64 = message.content[1]["image_url"]["url"]
+        return {
+            "role": message.role,
+            "content": content,
+            "data": {
+                "imageBase64": image_base64,
+                "fileText": "",
+                "title": "snapshot",
+                # Added imagesData field here
+                "imagesData": [
+                    {
+                        "filePath": f"MultipleFiles/{uuid.uuid4().hex}.jpg",
+                        "contents": image_base64
+                    }
+                ],
+            },
+        }
+    return {"role": message.role, "content": content}
+
+# Function to strip model prefix from content if present
+def strip_model_prefix(content: str, model_prefix: Optional[str] = None) -> str:
+    """Remove the model prefix from the response content if present."""
+    if model_prefix and content.startswith(model_prefix):
+        logger.debug(f"Stripping prefix '{model_prefix}' from content.")
+        return content[len(model_prefix):].strip()
+    return content
+
+# Process streaming response with headers from config.py
+async def process_streaming_response(request: ChatRequest):
+    # Generate a unique ID for this request
+    request_id = f"chatcmpl-{uuid.uuid4()}"
+    logger.info(f"Processing request with ID: {request_id} - Model: {request.model}")
+
+    # Get the appropriate configuration for the requested model
+    agent_mode = AGENT_MODE.get(request.model, {})
+    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
+    model_prefix = MODEL_PREFIXES.get(request.model, "")
+
+    # Adjust headers_api_chat since referer_url is removed
+    headers_api_chat = get_headers_api_chat(BASE_URL)
+
+    if request.model == 'o1-preview':
+        delay_seconds = random.randint(1, 60)
+        logger.info(
+            f"Introducing a delay of {delay_seconds} seconds for model 'o1-preview' "
+            f"(Request ID: {request_id})"
+        )
+        await asyncio.sleep(delay_seconds)
+
+    # Fetch the h-value for the 'validated' field
+    h_value = await getHid()
+    if not h_value:
+        logger.error("Failed to retrieve h-value for validation.")
+        raise HTTPException(
+            status_code=500, detail="Validation failed due to missing h-value."
+        )
+
+    messages = [
+        message_to_dict(msg, model_prefix=model_prefix) for msg in request.messages
+    ]
+
+    json_data = {
+        "agentMode": agent_mode,
+        "clickedAnswer2": False,
+        "clickedAnswer3": False,
+        "clickedForceWebSearch": False,
+        "codeModelMode": True,
+        "githubToken": None,
+        "id": request_id,
+        "isChromeExt": False,
+        "isMicMode": False,
+        "maxTokens": request.max_tokens,
+        "messages": messages,
+        "mobileClient": False,
+        "playgroundTemperature": request.temperature,
+        "playgroundTopP": request.top_p,
+        "previewToken": None,
+        "trendingAgentMode": trending_agent_mode,
+        "userId": None,
+        "userSelectedModel": MODEL_MAPPING.get(request.model, request.model),
+        "userSystemPrompt": None,
+        "validated": h_value,  # Dynamically set the validated field
+        "visitFromDelta": False,
+        "webSearchModePrompt": False,
+        "imageGenerationMode": False,  # Added this line
+    }
+
+    prompt_tokens = 0
+    for message in messages:
+        if 'content' in message:
+            prompt_tokens += calculate_tokens(message['content'], request.model)
+        if 'data' in message and 'imageBase64' in message['data']:
+            prompt_tokens += calculate_tokens(message['data']['imageBase64'], request.model)
+
+    completion_tokens = 0
+    async with httpx.AsyncClient() as client:
+        try:
+            async with client.stream(
+                "POST",
+                f"{BASE_URL}/api/chat",
+                headers=headers_api_chat,
+                json=json_data,
+                timeout=100,
+            ) as response:
+                response.raise_for_status()
+                async for chunk in response.aiter_text():
+                    timestamp = int(datetime.now().timestamp())
+                    if chunk:
+                        content = chunk
+                        if content.startswith("$@$v=undefined-rv1$@$"):
+                            content = content[21:]
+                        # Remove the blocked message if present
+                        if BLOCKED_MESSAGE in content:
+                            logger.info(
+                                f"Blocked message detected in response for Request ID {request_id}."
+                            )
+                            content = content.replace(BLOCKED_MESSAGE, '').strip()
+                            if not content:
+                                continue  # Skip if content is empty after removal
+                        cleaned_content = strip_model_prefix(content, model_prefix)
+                        completion_tokens += calculate_tokens(cleaned_content, request.model)
+                        yield f"data: {json.dumps(create_chat_completion_data(cleaned_content, request.model, timestamp, request_id))}\n\n"
+
+                yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, request_id, prompt_tokens, completion_tokens, 'stop'))}\n\n"
+                yield "data: [DONE]\n\n"
+        except httpx.HTTPStatusError as e:
+            logger.error(f"HTTP error occurred for Request ID {request_id}: {e}")
+            error_message = f"HTTP error occurred: {e}"
+            try:
+                error_details = e.response.json()
+                error_message += f" Details: {error_details}"
+            except ValueError:
+                error_message += f" Response body: {e.response.text}"
+            
+            yield f"data: {json.dumps(create_chat_completion_data(error_message, request.model, timestamp, request_id, prompt_tokens, completion_tokens, 'error'))}\n\n"
+            yield "data: [DONE]\n\n"
+            # raise HTTPException(status_code=e.response.status_code, detail=error_message)
+        except httpx.RequestError as e:
+            logger.error(
+                f"Error occurred during request for Request ID {request_id}: {e}"
+            )
+            error_message = f"Request error occurred: {e}"
+            yield f"data: {json.dumps(create_chat_completion_data(error_message, request.model, timestamp, request_id, prompt_tokens, completion_tokens, 'error'))}\n\n"
+            yield "data: [DONE]\n\n"
+            # raise HTTPException(status_code=500, detail=error_message)
+        except Exception as e:
+            logger.error(f"An unexpected error occurred for Request ID {request_id}: {e}")
+            error_message = f"An unexpected error occurred: {e}"
+            yield f"data: {json.dumps(create_chat_completion_data(error_message, request.model, timestamp, request_id, prompt_tokens, completion_tokens, 'error'))}\n\n"
+            yield "data: [DONE]\n\n"
+            # raise HTTPException(status_code=500, detail=error_message)
+
+# Process non-streaming response with headers from config.py
+async def process_non_streaming_response(request: ChatRequest):
+    # Generate a unique ID for this request
+    request_id = f"chatcmpl-{uuid.uuid4()}"
+    logger.info(f"Processing request with ID: {request_id} - Model: {request.model}")
+
+    # Get the appropriate configuration for the requested model
+    agent_mode = AGENT_MODE.get(request.model, {})
+    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
+    model_prefix = MODEL_PREFIXES.get(request.model, "")
+
+    # Adjust headers_api_chat and headers_chat since referer_url is removed
+    headers_api_chat = get_headers_api_chat(BASE_URL)
+    headers_chat = get_headers_chat(
+        BASE_URL,
+        next_action=str(uuid.uuid4()),
+        next_router_state_tree=json.dumps([""]),
+    )
+
+    if request.model == 'o1-preview':
+        delay_seconds = random.randint(20, 60)
+        logger.info(
+            f"Introducing a delay of {delay_seconds} seconds for model 'o1-preview' "
+            f"(Request ID: {request_id})"
+        )
+        await asyncio.sleep(delay_seconds)
+
+    # Fetch the h-value for the 'validated' field
+    h_value = "00f37b34-a166-4efb-bce5-1312d87f2f94"
+    if not h_value:
+        logger.error("Failed to retrieve h-value for validation.")
+        raise HTTPException(
+            status_code=500, detail="Validation failed due to missing h-value."
+        )
+
+    messages = [
+        message_to_dict(msg, model_prefix=model_prefix) for msg in request.messages
+    ]
+
+    json_data = {
+        "agentMode": agent_mode,
+        "clickedAnswer2": False,
+        "clickedAnswer3": False,
+        "clickedForceWebSearch": False,
+        "codeModelMode": True,
+        "githubToken": None,
+        "id": request_id,
+        "isChromeExt": False,
+        "isMicMode": False,
+        "maxTokens": request.max_tokens,
+        "messages": messages,
+        "mobileClient": False,
+        "playgroundTemperature": request.temperature,
+        "playgroundTopP": request.top_p,
+        "previewToken": None,
+        "trendingAgentMode": trending_agent_mode,
+        "userId": None,
+        "userSelectedModel": MODEL_MAPPING.get(request.model, request.model),
+        "userSystemPrompt": None,
+        "validated": h_value,  # Dynamically set the validated field
+        "visitFromDelta": False,
+        "webSearchModePrompt": False,
+        "imageGenerationMode": False,  # Added this line
+    }
+
+    prompt_tokens = 0
+    for message in messages:
+        if 'content' in message:
+            prompt_tokens += calculate_tokens(message['content'], request.model)
+        if 'data' in message and 'imageBase64' in message['data']:
+            prompt_tokens += calculate_tokens(message['data']['imageBase64'], request.model)
+
+    full_response = ""
+    async with httpx.AsyncClient() as client:
+        try:
+            async with client.stream(
+                method="POST",
+                url=f"{BASE_URL}/api/chat",
+                headers=headers_api_chat,
+                json=json_data,
+            ) as response:
+                response.raise_for_status()
+                async for chunk in response.aiter_text():
+                    full_response += chunk
+        except httpx.HTTPStatusError as e:
+            logger.error(f"HTTP error occurred for Request ID {request_id}: {e}")
+            error_message = f"HTTP error occurred: {e}"
+            try:
+                error_details = e.response.json()
+                error_message += f" Details: {error_details}"
+            except ValueError:
+                error_message += f" Response body: {e.response.text}"
+            
+            return {
+                "id": request_id,
+                "object": "chat.completion",
+                "created": int(datetime.now().timestamp()),
+                "model": request.model,
+                "choices": [
+                    {
+                        "index": 0,
+                        "message": {"role": "assistant", "content": error_message},
+                        "finish_reason": "error",
+                    }
+                ],
+                "usage": {
+                    "prompt_tokens": prompt_tokens,
+                    "completion_tokens": 0,
+                    "total_tokens": prompt_tokens,
+                },
+            }
+        except httpx.RequestError as e:
+            logger.error(
+                f"Error occurred during request for Request ID {request_id}: {e}"
+            )
+            error_message = f"Request error occurred: {e}"
+            return {
+                "id": request_id,
+                "object": "chat.completion",
+                "created": int(datetime.now().timestamp()),
+                "model": request.model,
+                "choices": [
+                    {
+                        "index": 0,
+                        "message": {"role": "assistant", "content": error_message},
+                        "finish_reason": "error",
+                    }
+                ],
+                "usage": {
+                    "prompt_tokens": prompt_tokens,
+                    "completion_tokens": 0,
+                    "total_tokens": prompt_tokens,
+                },
+            }
+        except Exception as e:
+            logger.error(f"An unexpected error occurred for Request ID {request_id}: {e}")
+            error_message = f"An unexpected error occurred: {e}"
+            return {
+                "id": request_id,
+                "object": "chat.completion",
+                "created": int(datetime.now().timestamp()),
+                "model": request.model,
+                "choices": [
+                    {
+                        "index": 0,
+                        "message": {"role": "assistant", "content": error_message},
+                        "finish_reason": "error",
+                    }
+                ],
+                "usage": {
+                    "prompt_tokens": prompt_tokens,
+                    "completion_tokens": 0,
+                    "total_tokens": prompt_tokens,
+                },
+            }
+
+    if full_response.startswith("$@$v=undefined-rv1$@$"):
+        full_response = full_response[21:]
+
+    # Remove the blocked message if present
+    if BLOCKED_MESSAGE in full_response:
+        logger.info(
+            f"Blocked message detected in response for Request ID {request_id}."
+        )
+        full_response = full_response.replace(BLOCKED_MESSAGE, '').strip()
+        if not full_response:
+            raise HTTPException(
+                status_code=500, detail="Blocked message detected in response."
+            )
+
+    cleaned_full_response = strip_model_prefix(full_response, model_prefix)
+    completion_tokens = calculate_tokens(cleaned_full_response, request.model)
+
+    return {
+        "id": request_id,
+        "object": "chat.completion",
+        "created": int(datetime.now().timestamp()),
+        "model": request.model,
+        "choices": [
+            {
+                "index": 0,
+                "message": {"role": "assistant", "content": cleaned_full_response},
+                "finish_reason": "stop",
+            }
+        ],
+        "usage": {
+            "prompt_tokens": prompt_tokens,
+            "completion_tokens": completion_tokens,
+            "total_tokens": prompt_tokens + completion_tokens,
+        },
+    }

api/validate.py

@@ -0,0 +1,62 @@
+import re
+import time
+import asyncio
+import aiohttp
+from typing import Optional
+
+base_url = "https://www.blackbox.ai"
+headers = {
+    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36',
+}
+
+# Cache variables
+cached_hid = None
+cache_time = 0
+CACHE_DURATION = 36000  # Cache duration in seconds (10 hours)
+
+async def getHid(force_refresh: bool = False) -> Optional[str]:
+    global cached_hid, cache_time
+    current_time = time.time()
+
+    # Check if a forced refresh is needed or if the cached values are still valid.
+    if not force_refresh and cached_hid and (current_time - cache_time) < CACHE_DURATION:
+        print("Using cached_hid:", cached_hid)
+        return cached_hid
+
+    uuid_format = 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_around):
+        return any(char + '=' in text_around for char in 'abcdefghijklmnopqrstuvwxyz')
+
+    try:
+        async with aiohttp.ClientSession(headers=headers) as session:
+            async with session.get(base_url) as response:
+                if response.status != 200:
+                    print("Failed to load the page.")
+                    return None
+
+                page_content = await response.text()
+                js_files = re.findall(r'static/chunks/\d{4}-[a-fA-F0-9]+\.js', page_content)
+
+                for js_file in js_files:
+                    js_url = f"{base_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_format, 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)
+                                    print("Found and validated h-value:", validated_value)
+                                    # Update the cache
+                                    cached_hid = validated_value
+                                    cache_time = current_time
+                                    return validated_value
+                print("The h-value was not found in any JS content.")
+                return None
+    except Exception as e:
+        print(f"An error occurred during the request: {e}")
+        return None

main.py

@@ -0,0 +1,5 @@
+import uvicorn
+from api.app import app
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8001)

requirements.txt

@@ -0,0 +1,7 @@
+fastapi==0.95.2
+httpx==0.23.3
+pydantic==1.10.4
+python-dotenv==0.21.0
+uvicorn==0.21.1
+aiohttp
+tiktoken