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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)"]

api/app.py

@@ -0,0 +1,41 @@
+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

@@ -0,0 +1,10 @@
+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

@@ -0,0 +1,563 @@
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+BASE_URL = "https://blackboxaichat.onrender.com"
+common_headers = {
+    'accept': '*/*',
+    'accept-language': 'en-US,en;q=0.9',
+    'content-type': 'application/json',
+    'origin': 'https://www.blackbox.ai',
+    'priority': 'u=1, i',
+    'sec-ch-ua': '"Google Chrome";v="135", "Not-A.Brand";v="8", "Chromium";v="135"',
+    'sec-ch-ua-mobile': '?0',
+    'sec-ch-ua-model': '""',
+    'sec-ch-ua-platform': '"Windows"',
+    '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/135.0.0.0 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',
+        '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": "niansuh-t1", "name": "niansuh-t1"},
+    {"id": "o3-mini", "name": "o3-mini"},
+    {"id": "snapzionai", "name": "snapzionai"},
+    {"id": "blackboxai-pro", "name": "blackboxai-pro"},
+    {"id": "flux", "name": "flux"},
+    {"id": "Llama-4-Maverick-17B-128E", "name": "Llama-4-Maverick-17B-128E"},
+    {"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": "chatgpt-4o-latest", "name": "chatgpt-4o-latest"},
+    {"id": "x-ai/grok-vision-beta", "name": "x-ai/grok-vision-beta"},
+    {"id": "x-ai/grok-beta", "name": "x-ai/grok-beta"},
+    {"id": "anthropic/claude-3.7-sonnet:thinking", "name": "anthropic/claude-3.7-sonnet:thinking"},
+    {"id": "gpt-4o-2024-05-13", "name": "gpt-4o"},
+    {"id": "gemini-pro", "name": "Gemini-PRO"},
+    {"id": "gemini-flash-2.0", "name": "gemini-flash-2.0"},
+    {"id": "gemini-1.5-flash", "name": "gemini-flash-2.0"},
+    {"id": "claude-sonnet-3.5", "name": "claude-sonnet-3.5"},
+    {"id": "deepseek-r1", "name": "deepseek-r1"},
+    {"id": "deepseek-v3", "name": "deepseek-v3"},
+    {"id": "Mistral-Small-24B-Instruct-2501", "name": "Mistral-Small-24B-Instruct-2501"},
+    {"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-flash-2.0"},
+    {"id": "gemini-1.5-pro", "name": "gemini-flash-2.0"},
+    {"id": "claude-3-5-sonnet-20240620", "name": "claude-3-5-sonnet"},
+    {"id": "claude-3-5-sonnet", "name": "claude-3-5-sonnet"},
+    {"id": "Niansuh", "name": "niansuh"},
+    {"id": "o1-preview", "name": "o1-preview"},
+    {"id": "Claude-sonnet-3.7", "name": "Claude-sonnet-3.7"},
+    {"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"},
+    {"id": "TirexAi", "name": "TirexAi"},
+    {"id": "o1", "name": "o1"},
+
+
+
+    # Added New models
+
+    {"id": "openai/gpt-4.1", "name": "openai/gpt-4.1" },
+{"id": "x-ai/grok-3-beta", "name": "x-ai/grok-3-beta" },
+{"id": "anthropic/claude-3.7-sonnet", "name": "anthropic/claude-3.7-sonnet" },
+{"id": "google/gemini-2.5-pro-exp-03-25:free", "name": "google/gemini-2.5-pro-exp-03-25:free" },
+{"id": "deepseek/deepseek-r1", "name": "deepseek/deepseek-r1" },
+{"id": "meta-llama/llama-4-maverick:free", "name": "meta-llama/llama-4-maverick:free" },
+{"id": "mistralai/mistral-large", "name": "mistralai/mistral-large" },
+{"id": "openai/chatgpt-4o-latest", "name": "openai/chatgpt-4o-latest" },
+{"id": "qwen/qwen-2.5-coder-32b-instruct", "name": "qwen/qwen-2.5-coder-32b-instruct" },
+{"id": "openai/gpt-4.1-mini", "name": "openai/gpt-4.1-mini" },
+{"id": "openai/gpt-4.1-nano", "name": "openai/gpt-4.1-nano" },
+{"id": "anthropic/claude-3.7-sonnet:thinking", "name": "anthropic/claude-3.7-sonnet:thinking" },
+{"id": "anthropic/claude-3.7-sonnet:beta", "name": "anthropic/claude-3.7-sonnet:beta" },
+{"id": "anthropic/claude-3.5-haiku:beta", "name": "anthropic/claude-3.5-haiku:beta" },
+{"id": "anthropic/claude-3.5-haiku", "name": "anthropic/claude-3.5-haiku" },
+{"id": "anthropic/claude-3.5-haiku-20241022:beta", "name": "anthropic/claude-3.5-haiku-20241022:beta" },
+{"id": "anthropic/claude-3.5-haiku-20241022", "name": "anthropic/claude-3.5-haiku-20241022" },
+{"id": "anthropic/claude-3.5-sonnet:beta", "name": "anthropic/claude-3.5-sonnet:beta" },
+{"id": "anthropic/claude-3.5-sonnet", "name": "anthropic/claude-3.5-sonnet" },
+{"id": "x-ai/grok-3-mini-beta", "name": "x-ai/grok-3-mini-beta" },
+{"id": "google/gemini-2.0-flash-lite-001", "name": "google/gemini-2.0-flash-lite-001" },
+{"id": "meta-llama/llama-4-maverick", "name": "meta-llama/llama-4-maverick" },
+{"id": "meta-llama/llama-4-scout:free", "name": "meta-llama/llama-4-scout:free" },
+{"id": "meta-llama/llama-4-scout", "name": "meta-llama/llama-4-scout" },
+{"id": "nvidia/llama-3.1-nemotron-70b-instruct:free", "name": "nvidia/llama-3.1-nemotron-70b-instruct:free" },
+{"id": "nvidia/llama-3.1-nemotron-70b-instruct", "name": "nvidia/llama-3.1-nemotron-70b-instruct" },
+{"id": "x-ai/grok-2-vision-1212", "name": "x-ai/grok-2-vision-1212" },
+{"id": "x-ai/grok-2-1212", "name": "x-ai/grok-2-1212" },
+{"id": "eleutherai/llemma_7b", "name": "eleutherai/llemma_7b" },
+{"id": "alfredpros/codellama-7b-instruct-solidity", "name": "alfredpros/codellama-7b-instruct-solidity" },
+{"id": "arliai/qwq-32b-arliai-rpr-v1:free", "name": "arliai/qwq-32b-arliai-rpr-v1:free" },
+{"id": "agentica-org/deepcoder-14b-preview:free", "name": "agentica-org/deepcoder-14b-preview:free" },
+{"id": "moonshotai/kimi-vl-a3b-thinking:free", "name": "moonshotai/kimi-vl-a3b-thinking:free" },
+{"id": "openrouter/optimus-alpha", "name": "openrouter/optimus-alpha" },
+{"id": "nvidia/llama-3.1-nemotron-nano-8b-v1:free", "name": "nvidia/llama-3.1-nemotron-nano-8b-v1:free" },
+{"id": "nvidia/llama-3.3-nemotron-super-49b-v1:free", "name": "nvidia/llama-3.3-nemotron-super-49b-v1:free" },
+{"id": "nvidia/llama-3.1-nemotron-ultra-253b-v1:free", "name": "nvidia/llama-3.1-nemotron-ultra-253b-v1:free" },
+{"id": "tokyotech-llm/llama-3.1-swallow-8b-instruct-v0.3", "name": "tokyotech-llm/llama-3.1-swallow-8b-instruct-v0.3" },
+{"id": "openrouter/quasar-alpha", "name": "openrouter/quasar-alpha" },
+{"id": "all-hands/openhands-lm-32b-v0.1", "name": "all-hands/openhands-lm-32b-v0.1" },
+{"id": "mistral/ministral-8b", "name": "mistral/ministral-8b" },
+{"id": "deepseek/deepseek-v3-base:free", "name": "deepseek/deepseek-v3-base:free" },
+{"id": "scb10x/llama3.1-typhoon2-8b-instruct", "name": "scb10x/llama3.1-typhoon2-8b-instruct" },
+{"id": "scb10x/llama3.1-typhoon2-70b-instruct", "name": "scb10x/llama3.1-typhoon2-70b-instruct" },
+{"id": "allenai/molmo-7b-d:free", "name": "allenai/molmo-7b-d:free" },
+{"id": "bytedance-research/ui-tars-72b:free", "name": "bytedance-research/ui-tars-72b:free" },
+{"id": "qwen/qwen2.5-vl-3b-instruct:free", "name": "qwen/qwen2.5-vl-3b-instruct:free" },
+{"id": "qwen/qwen2.5-vl-32b-instruct:free", "name": "qwen/qwen2.5-vl-32b-instruct:free" },
+{"id": "qwen/qwen2.5-vl-32b-instruct", "name": "qwen/qwen2.5-vl-32b-instruct" },
+{"id": "deepseek/deepseek-chat-v3-0324:free", "name": "deepseek/deepseek-chat-v3-0324:free" },
+{"id": "deepseek/deepseek-chat-v3-0324", "name": "deepseek/deepseek-chat-v3-0324" },
+{"id": "featherless/qwerky-72b:free", "name": "featherless/qwerky-72b:free" },
+{"id": "openai/o1-pro", "name": "openai/o1-pro" },
+{"id": "mistralai/mistral-small-3.1-24b-instruct:free", "name": "mistralai/mistral-small-3.1-24b-instruct:free" },
+{"id": "mistralai/mistral-small-3.1-24b-instruct", "name": "mistralai/mistral-small-3.1-24b-instruct" },
+{"id": "open-r1/olympiccoder-7b:free", "name": "open-r1/olympiccoder-7b:free" },
+{"id": "open-r1/olympiccoder-32b:free", "name": "open-r1/olympiccoder-32b:free" },
+{"id": "steelskull/l3.3-electra-r1-70b", "name": "steelskull/l3.3-electra-r1-70b" },
+{"id": "allenai/olmo-2-0325-32b-instruct", "name": "allenai/olmo-2-0325-32b-instruct" },
+{"id": "google/gemma-3-1b-it:free", "name": "google/gemma-3-1b-it:free" },
+{"id": "google/gemma-3-4b-it:free", "name": "google/gemma-3-4b-it:free" },
+{"id": "google/gemma-3-4b-it", "name": "google/gemma-3-4b-it" },
+{"id": "ai21/jamba-1.6-large", "name": "ai21/jamba-1.6-large" },
+{"id": "ai21/jamba-1.6-mini", "name": "ai21/jamba-1.6-mini" },
+{"id": "google/gemma-3-12b-it:free", "name": "google/gemma-3-12b-it:free" },
+{"id": "google/gemma-3-12b-it", "name": "google/gemma-3-12b-it" },
+{"id": "cohere/command-a", "name": "cohere/command-a" },
+{"id": "openai/gpt-4o-mini-search-preview", "name": "openai/gpt-4o-mini-search-preview" },
+{"id": "openai/gpt-4o-search-preview", "name": "openai/gpt-4o-search-preview" },
+{"id": "rekaai/reka-flash-3:free", "name": "rekaai/reka-flash-3:free" },
+{"id": "thedrummer/anubis-pro-105b-v1", "name": "thedrummer/anubis-pro-105b-v1" },
+{"id": "latitudegames/wayfarer-large-70b-llama-3.3", "name": "latitudegames/wayfarer-large-70b-llama-3.3" },
+{"id": "thedrummer/skyfall-36b-v2", "name": "thedrummer/skyfall-36b-v2" },
+{"id": "microsoft/phi-4-multimodal-instruct", "name": "microsoft/phi-4-multimodal-instruct" },
+{"id": "deepseek/deepseek-r1-zero:free", "name": "deepseek/deepseek-r1-zero:free" },
+{"id": "qwen/qwq-32b:free", "name": "qwen/qwq-32b:free" },
+{"id": "qwen/qwq-32b", "name": "qwen/qwq-32b" },
+{"id": "qwen/qwen2.5-32b-instruct", "name": "qwen/qwen2.5-32b-instruct" },
+{"id": "moonshotai/moonlight-16b-a3b-instruct:free", "name": "moonshotai/moonlight-16b-a3b-instruct:free" },
+{"id": "nousresearch/deephermes-3-llama-3-8b-preview:free", "name": "nousresearch/deephermes-3-llama-3-8b-preview:free" },
+{"id": "openai/gpt-4.5-preview", "name": "openai/gpt-4.5-preview" },
+{"id": "mistralai/mistral-saba", "name": "mistralai/mistral-saba" },
+{"id": "cognitivecomputations/dolphin3.0-r1-mistral-24b:free", "name": "cognitivecomputations/dolphin3.0-r1-mistral-24b:free" },
+{"id": "cognitivecomputations/dolphin3.0-mistral-24b:free", "name": "cognitivecomputations/dolphin3.0-mistral-24b:free" },
+{"id": "meta-llama/llama-guard-3-8b", "name": "meta-llama/llama-guard-3-8b" },
+{"id": "openai/o3-mini-high", "name": "openai/o3-mini-high" },
+{"id": "allenai/llama-3.1-tulu-3-405b", "name": "allenai/llama-3.1-tulu-3-405b" },
+{"id": "deepseek/deepseek-r1-distill-llama-8b", "name": "deepseek/deepseek-r1-distill-llama-8b" },
+{"id": "google/gemini-2.0-flash-001", "name": "google/gemini-2.0-flash-001" },
+{"id": "qwen/qwen-vl-plus", "name": "qwen/qwen-vl-plus" },
+{"id": "openai/gpt-4o-mini-2024-07-18", "name": "openai/gpt-4o-mini-2024-07-18" },
+{"id": "openai/gpt-4o-mini", "name": "openai/gpt-4o-mini" },
+{"id": "qwen/qwen-2-7b-instruct", "name": "qwen/qwen-2-7b-instruct" },
+{"id": "google/gemini-2-27b-it", "name": "google/gemini-2-27b-it" },
+{"id": "alpindale/magnum-72b", "name": "alpindale/magnum-72b" },
+{"id": "nousresearch/hermes-2-theta-llama-3-8b", "name": "nousresearch/hermes-2-theta-llama-3-8b" },
+{"id": "google/gemini-2-9b-it:free", "name": "google/gemini-2-9b-it:free" },
+{"id": "google/gemini-2-9b-it", "name": "google/gemini-2-9b-it" },
+{"id": "sao10k/l3-stheno-8b", "name": "sao10k/l3-stheno-8b" },
+{"id": "ai21/jamba-instruct", "name": "ai21/jamba-instruct" },
+{"id": "01-ai/yi-large", "name": "01-ai/yi-large" },
+{"id": "meta-llama/llama-3.1-405b", "name": "meta-llama/llama-3.1-405b" },
+{"id": "nothingiisreal/mn-celeste-12b", "name": "nothingiisreal/mn-celeste-12b" },
+{"id": "01-ai/yi-vision", "name": "01-ai/yi-vision" },
+{"id": "01-ai/yi-large-turbo", "name": "01-ai/yi-large-turbo" },
+{"id": "google/gemini-pro-1.5-exp", "name": "google/gemini-pro-1.5-exp" },
+{"id": "meta-llama/llama-3.1-70b-instruct", "name": "meta-llama/llama-3.1-70b-instruct" },
+{"id": "meta-llama/llama-3.1-8b-instruct:free", "name": "meta-llama/llama-3.1-8b-instruct:free" },
+{"id": "meta-llama/llama-3.1-8b-instruct", "name": "meta-llama/llama-3.1-8b-instruct" },
+{"id": "meta-llama/llama-3.1-405b-instruct", "name": "meta-llama/llama-3.1-405b-instruct" },
+{"id": "cognitivecomputations/dolphin-llama-3-70b", "name": "cognitivecomputations/dolphin-llama-3-70b" },
+{"id": "mistralai/mistral-nemo:free", "name": "mistralai/mistral-nemo:free" },
+{"id": "mistralai/mistral-nemo", "name": "mistralai/mistral-nemo" },
+{"id": "mistralai/codestral-mamba", "name": "mistralai/codestral-mamba" },
+{"id": "x-ai/grok-vision-beta", "name": "x-ai/grok-vision-beta" },
+]
+
+MODEL_MAPPING = {
+    "blackboxai": "blackboxai",
+    "anthropic/claude-3.7-sonnet:thinking": "anthropic/claude-3.7-sonnet:thinking",
+    "niansuh-t1": "niansuh-t1",
+    "Gemini-PRO": "Gemini-PRO",
+    "blackboxai-pro": "blackboxai-pro",
+    "gpt-4o": "gpt-4o",
+    "gemini-flash-2.0": "gemini-flash-2.0",
+    "chatgpt-4o-latest": "chatgpt-4o-latest",
+    "o1": "o1",
+    "Llama-4-Maverick-17B-128E": "Llama-4-Maverick-17B-128E",
+    "gemini-1.5-flash": "gemini-flash-2.0",
+    "deepseek-r1": "deepseek-r1",
+    "deepseek-v3": "deepseek-v3",
+    "Mistral-Small-24B-Instruct-2501": "Mistral-Small-24B-Instruct-2501",
+    "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",
+    # Additional mappings
+    "gemini-flash": "gemini-flash-2.0",
+    "claude-sonnet-3.5": "Claude-Sonnet-3.5",
+    "gemini-1.5-pro-latest": "gemini-flash-2.0",
+    "gemini-1.5-pro": "gemini-flash-2.0",
+    "claude-3-5-sonnet-20240620": "Claude-Sonnet-3.5",
+    "Niansuh": "niansuh",
+    "o1-preview": "o1-preview",
+    "Claude-sonnet-3.7": "Claude-sonnet-3.7",
+    "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",
+    "TirexAi": "TirexAi",
+    "o3-mini": "o3-mini",
+
+
+    # Added new Models
+
+    "openai/gpt-4.1": "openai/gpt-4.1",
+    "x-ai/grok-3-beta": "x-ai/grok-3-beta",
+    "anthropic/claude-3.7-sonnet": "anthropic/claude-3.7-sonnet",
+    "google/gemini-2.5-pro-exp-03-25:free": "google/gemini-2.5-pro-exp-03-25:free",
+    "deepseek/deepseek-r1": "deepseek/deepseek-r1",
+    "meta-llama/llama-4-maverick:free": "meta-llama/llama-4-maverick:free",
+    "mistralai/mistral-large": "mistralai/mistral-large",
+    "openai/chatgpt-4o-latest": "openai/chatgpt-4o-latest",
+    "qwen/qwen-2.5-coder-32b-instruct": "qwen/qwen-2.5-coder-32b-instruct",
+    "openai/gpt-4.1-mini": "openai/gpt-4.1-mini",
+    "openai/gpt-4.1-nano": "openai/gpt-4.1-nano",
+    "anthropic/claude-3.7-sonnet:thinking": "anthropic/claude-3.7-sonnet:thinking",
+    "anthropic/claude-3.7-sonnet:beta": "anthropic/claude-3.7-sonnet:beta",
+    "anthropic/claude-3.5-haiku:beta": "anthropic/claude-3.5-haiku:beta",
+    "anthropic/claude-3.5-haiku": "anthropic/claude-3.5-haiku",
+    "anthropic/claude-3.5-haiku-20241022:beta": "anthropic/claude-3.5-haiku-20241022:beta",
+    "anthropic/claude-3.5-haiku-20241022": "anthropic/claude-3.5-haiku-20241022",
+    "anthropic/claude-3.5-sonnet:beta": "anthropic/claude-3.5-sonnet:beta",
+    "anthropic/claude-3.5-sonnet": "anthropic/claude-3.5-sonnet",
+    "x-ai/grok-3-mini-beta": "x-ai/grok-3-mini-beta",
+    "google/gemini-2.0-flash-lite-001": "google/gemini-2.0-flash-lite-001",
+    "meta-llama/llama-4-maverick": "meta-llama/llama-4-maverick",
+    "meta-llama/llama-4-scout:free": "meta-llama/llama-4-scout:free",
+    "meta-llama/llama-4-scout": "meta-llama/llama-4-scout",
+    "nvidia/llama-3.1-nemotron-70b-instruct:free": "nvidia/llama-3.1-nemotron-70b-instruct:free",
+    "nvidia/llama-3.1-nemotron-70b-instruct": "nvidia/llama-3.1-nemotron-70b-instruct",
+    "x-ai/grok-2-vision-1212": "x-ai/grok-2-vision-1212",
+    "x-ai/grok-2-1212": "x-ai/grok-2-1212",
+    "eleutherai/llemma_7b": "eleutherai/llemma_7b",
+    "alfredpros/codellama-7b-instruct-solidity": "alfredpros/codellama-7b-instruct-solidity",
+    "arliai/qwq-32b-arliai-rpr-v1:free": "arliai/qwq-32b-arliai-rpr-v1:free",
+    "agentica-org/deepcoder-14b-preview:free": "agentica-org/deepcoder-14b-preview:free",
+    "moonshotai/kimi-vl-a3b-thinking:free": "moonshotai/kimi-vl-a3b-thinking:free",
+    "openrouter/optimus-alpha": "openrouter/optimus-alpha",
+    "nvidia/llama-3.1-nemotron-nano-8b-v1:free": "nvidia/llama-3.1-nemotron-nano-8b-v1:free",
+    "nvidia/llama-3.3-nemotron-super-49b-v1:free": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
+    "nvidia/llama-3.1-nemotron-ultra-253b-v1:free": "nvidia/llama-3.1-nemotron-ultra-253b-v1:free",
+    "tokyotech-llm/llama-3.1-swallow-8b-instruct-v0.3": "tokyotech-llm/llama-3.1-swallow-8b-instruct-v0.3",
+    "openrouter/quasar-alpha": "openrouter/quasar-alpha",
+    "all-hands/openhands-lm-32b-v0.1": "all-hands/openhands-lm-32b-v0.1",
+    "mistral/ministral-8b": "mistral/ministral-8b",
+    "deepseek/deepseek-v3-base:free": "deepseek/deepseek-v3-base:free",
+    "scb10x/llama3.1-typhoon2-8b-instruct": "scb10x/llama3.1-typhoon2-8b-instruct",
+    "scb10x/llama3.1-typhoon2-70b-instruct": "scb10x/llama3.1-typhoon2-70b-instruct",
+    "allenai/molmo-7b-d:free": "allenai/molmo-7b-d:free",
+    "bytedance-research/ui-tars-72b:free": "bytedance-research/ui-tars-72b:free",
+    "qwen/qwen2.5-vl-3b-instruct:free": "qwen/qwen2.5-vl-3b-instruct:free",
+    "qwen/qwen2.5-vl-32b-instruct:free": "qwen/qwen2.5-vl-32b-instruct:free",
+    "qwen/qwen2.5-vl-32b-instruct": "qwen/qwen2.5-vl-32b-instruct",
+    "deepseek/deepseek-chat-v3-0324:free": "deepseek/deepseek-chat-v3-0324:free",
+    "deepseek/deepseek-chat-v3-0324": "deepseek/deepseek-chat-v3-0324",
+    "featherless/qwerky-72b:free": "featherless/qwerky-72b:free",
+    "openai/o1-pro": "openai/o1-pro",
+    "mistralai/mistral-small-3.1-24b-instruct:free": "mistralai/mistral-small-3.1-24b-instruct:free",
+    "mistralai/mistral-small-3.1-24b-instruct": "mistralai/mistral-small-3.1-24b-instruct",
+    "open-r1/olympiccoder-7b:free": "open-r1/olympiccoder-7b:free",
+    "open-r1/olympiccoder-32b:free": "open-r1/olympiccoder-32b:free",
+    "steelskull/l3.3-electra-r1-70b": "steelskull/l3.3-electra-r1-70b",
+    "allenai/olmo-2-0325-32b-instruct": "allenai/olmo-2-0325-32b-instruct",
+    "google/gemma-3-1b-it:free": "google/gemma-3-1b-it:free",
+    "google/gemma-3-4b-it:free": "google/gemma-3-4b-it:free",
+    "google/gemma-3-4b-it": "google/gemma-3-4b-it",
+    "ai21/jamba-1.6-large": "ai21/jamba-1.6-large",
+    "ai21/jamba-1.6-mini": "ai21/jamba-1.6-mini",
+    "google/gemma-3-12b-it:free": "google/gemma-3-12b-it:free",
+    "google/gemma-3-12b-it": "google/gemma-3-12b-it",
+    "cohere/command-a": "cohere/command-a",
+    "openai/gpt-4o-mini-search-preview": "openai/gpt-4o-mini-search-preview",
+    "openai/gpt-4o-search-preview": "openai/gpt-4o-search-preview",
+    "rekaai/reka-flash-3:free": "rekaai/reka-flash-3:free",
+    "thedrummer/anubis-pro-105b-v1": "thedrummer/anubis-pro-105b-v1",
+    "latitudegames/wayfarer-large-70b-llama-3.3": "latitudegames/wayfarer-large-70b-llama-3.3",
+    "thedrummer/skyfall-36b-v2": "thedrummer/skyfall-36b-v2",
+    "microsoft/phi-4-multimodal-instruct": "microsoft/phi-4-multimodal-instruct",
+    "deepseek/deepseek-r1-zero:free": "deepseek/deepseek-r1-zero:free",
+    "qwen/qwq-32b:free": "qwen/qwq-32b:free",
+    "qwen/qwq-32b": "qwen/qwq-32b",
+    "qwen/qwen2.5-32b-instruct": "qwen/qwen2.5-32b-instruct",
+    "moonshotai/moonlight-16b-a3b-instruct:free": "moonshotai/moonlight-16b-a3b-instruct:free",
+    "nousresearch/deephermes-3-llama-3-8b-preview:free": "nousresearch/deephermes-3-llama-3-8b-preview:free",
+    "openai/gpt-4.5-preview": "openai/gpt-4.5-preview",
+    "mistralai/mistral-saba": "mistralai/mistral-saba",
+    "cognitivecomputations/dolphin3.0-r1-mistral-24b:free": "cognitivecomputations/dolphin3.0-r1-mistral-24b:free",
+    "cognitivecomputations/dolphin3.0-mistral-24b:free": "cognitivecomputations/dolphin3.0-mistral-24b:free",
+    "meta-llama/llama-guard-3-8b": "meta-llama/llama-guard-3-8b",
+    "openai/o3-mini-high": "openai/o3-mini-high",
+    "allenai/llama-3.1-tulu-3-405b": "allenai/llama-3.1-tulu-3-405b",
+    "deepseek/deepseek-r1-distill-llama-8b": "deepseek/deepseek-r1-distill-llama-8b",
+    "google/gemini-2.0-flash-001": "google/gemini-2.0-flash-001",
+    "qwen/qwen-vl-plus": "qwen/qwen-vl-plus",
+    "openai/gpt-4o-mini-2024-07-18": "openai/gpt-4o-mini-2024-07-18",
+    "openai/gpt-4o-mini": "openai/gpt-4o-mini",
+    "qwen/qwen-2-7b-instruct": "qwen/qwen-2-7b-instruct",
+    "google/gemini-2-27b-it": "google/gemini-2-27b-it",
+    "alpindale/magnum-72b": "alpindale/magnum-72b",
+    "nousresearch/hermes-2-theta-llama-3-8b": "nousresearch/hermes-2-theta-llama-3-8b",
+    "google/gemini-2-9b-it:free": "google/gemini-2-9b-it:free",
+    "google/gemini-2-9b-it": "google/gemini-2-9b-it",
+    "sao10k/l3-stheno-8b": "sao10k/l3-stheno-8b",
+    "ai21/jamba-instruct": "ai21/jamba-instruct",
+    "01-ai/yi-large": "01-ai/yi-large",
+    "meta-llama/llama-3.1-405b": "meta-llama/llama-3.1-405b",
+    "nothingiisreal/mn-celeste-12b": "nothingiisreal/mn-celeste-12b",
+    "01-ai/yi-vision": "01-ai/yi-vision",
+    "01-ai/yi-large-turbo": "01-ai/yi-large-turbo",
+    "google/gemini-pro-1.5-exp": "google/gemini-pro-1.5-exp",
+    "meta-llama/llama-3.1-70b-instruct": "meta-llama/llama-3.1-70b-instruct",
+    "meta-llama/llama-3.1-8b-instruct:free": "meta-llama/llama-3.1-8b-instruct:free",
+    "meta-llama/llama-3.1-8b-instruct": "meta-llama/llama-3.1-8b-instruct",
+    "meta-llama/llama-3.1-405b-instruct": "meta-llama/llama-3.1-405b-instruct",
+    "cognitivecomputations/dolphin-llama-3-70b": "cognitivecomputations/dolphin-llama-3-70b",
+    "mistralai/mistral-nemo:free": "mistralai/mistral-nemo:free",
+    "mistralai/mistral-nemo": "mistralai/mistral-nemo",
+    "mistralai/codestral-mamba": "mistralai/codestral-mamba",
+    "x-ai/grok-vision-beta": "x-ai/grok-vision-beta",
+
+}
+
+# Agent modes
+AGENT_MODE = {
+    'claude-sonnet-3.5': {'mode': True, 'id': "claude-sonnet-3.5", 'name': "claude-sonnet-3.5"},
+    'flux': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "flux"},
+    'gpt-4o': {'mode': True, 'id': "GPT-4o", 'name': "GPT-4o"},
+    'Llama-4-Maverick-17B-128E': {'mode': True, 'id': "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", 'name': "Llama-4-Maverick-17B-128E"},
+    'o3-mini': {'mode': True, 'id': "o3-mini", 'name': "o3-mini"},
+    'o1': {'mode': True, 'id': "o1", 'name': "o1"},
+    'gemini-flash-2.0': {'mode': True, 'id': "Gemini/Gemini-Flash-2.0", 'name': "gemini-flash-2.0"},
+    'Claude-Sonnet-3.7': {'mode': True, 'id': "Claude-Sonnet-3.7", 'name': "Claude-Sonnet-3.7"},
+    'niansuh-t1': {'mode': True, 'id': "Niansuh-T1ybc2YUh", 'name': "niansuh-t1"},
+    'chatgpt-4o-latest': {'mode': True, 'id': "GPT-4oyTDtGrw", 'name': "chatgpt-4o-latest"},
+    'TirexAi': {'mode': True, 'id': "TierXxsRieQK", 'name': "TirexAi"},
+    'Niansuh': {'mode': True, 'id': "NiansuhAIk1HgESy", 'name': "niansuh"},
+    'snapzionai': {'mode': True, 'id': "Prompt-AnalyzerpINlz9W", 'name': "snapzionai"},
+    '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"},
+    'deepseek-r1': {'mode': True, 'id': "deepseek-reasoner", 'name': "deepseek-r1"},
+    'deepseek-v3': {'mode': True, 'id': "deepseek-chat", 'name': "deepseek-v3"},
+    '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"},
+    'Mistral-Small-24B-Instruct-2501': {'mode': True, 'id': "mistralai/Mistral-Small-24B-Instruct-2501", 'name': "Mistral-Small-24B-Instruct-2501"},
+    '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"},
+
+
+    # Added New Models
+
+    'openai/gpt-4.1': {'mode': True, 'id': "openai/gpt-4.1", 'name': "openai/gpt-4.1"},
+    'openai/gpt-4o-search-preview': {'mode': True, 'id': "openai/gpt-4o-search-preview", 'name': "openai/gpt-4o-search-preview"},
+    'openai/gpt-4o-mini-search-preview': {'mode': True, 'id': "openai/gpt-4o-mini-search-preview", 'name': "openai/gpt-4o-mini-search-preview"},
+'x-ai/grok-3-beta': {'mode': True, 'id': "x-ai/grok-3-beta", 'name': "x-ai/grok-3-beta"},
+'anthropic/claude-3.7-sonnet': {'mode': True, 'id': "anthropic/claude-3.7-sonnet", 'name': "anthropic/claude-3.7-sonnet"},
+'google/gemini-2.5-pro-exp-03-25:free': {'mode': True, 'id': "google/gemini-2.5-pro-exp-03-25:free", 'name': "google/gemini-2.5-pro-exp-03-25:free"},
+'deepseek/deepseek-r1': {'mode': True, 'id': "deepseek/deepseek-r1", 'name': "deepseek/deepseek-r1"},
+'meta-llama/llama-4-maverick:free': {'mode': True, 'id': "meta-llama/llama-4-maverick:free", 'name': "meta-llama/llama-4-maverick:free"},
+'mistralai/mistral-large': {'mode': True, 'id': "mistralai/mistral-large", 'name': "mistralai/mistral-large"},
+'openai/chatgpt-4o-latest': {'mode': True, 'id': "openai/chatgpt-4o-latest", 'name': "openai/chatgpt-4o-latest"},
+'qwen/qwen-2.5-coder-32b-instruct': {'mode': True, 'id': "qwen/qwen-2.5-coder-32b-instruct", 'name': "qwen/qwen-2.5-coder-32b-instruct"},
+'openai/gpt-4.1-mini': {'mode': True, 'id': "openai/gpt-4.1-mini", 'name': "openai/gpt-4.1-mini"},
+'openai/gpt-4.1-nano': {'mode': True, 'id': "openai/gpt-4.1-nano", 'name': "openai/gpt-4.1-nano"},
+'anthropic/claude-3.7-sonnet:thinking': {'mode': True, 'id': "anthropic/claude-3.7-sonnet:thinking", 'name': "anthropic/claude-3.7-sonnet:thinking"},
+'anthropic/claude-3.7-sonnet:beta': {'mode': True, 'id': "anthropic/claude-3.7-sonnet:beta", 'name': "anthropic/claude-3.7-sonnet:beta"},
+'anthropic/claude-3.5-haiku:beta': {'mode': True, 'id': "anthropic/claude-3.5-haiku:beta", 'name': "anthropic/claude-3.5-haiku:beta"},
+'anthropic/claude-3.5-haiku': {'mode': True, 'id': "anthropic/claude-3.5-haiku", 'name': "anthropic/claude-3.5-haiku"},
+'anthropic/claude-3.5-haiku-20241022:beta': {'mode': True, 'id': "anthropic/claude-3.5-haiku-20241022:beta", 'name': "anthropic/claude-3.5-haiku-20241022:beta"},
+'anthropic/claude-3.5-haiku-20241022': {'mode': True, 'id': "anthropic/claude-3.5-haiku-20241022", 'name': "anthropic/claude-3.5-haiku-20241022"},
+'anthropic/claude-3.5-sonnet:beta': {'mode': True, 'id': "anthropic/claude-3.5-sonnet:beta", 'name': "anthropic/claude-3.5-sonnet:beta"},
+'anthropic/claude-3.5-sonnet': {'mode': True, 'id': "anthropic/claude-3.5-sonnet", 'name': "anthropic/claude-3.5-sonnet"},
+'x-ai/grok-3-mini-beta': {'mode': True, 'id': "x-ai/grok-3-mini-beta", 'name': "x-ai/grok-3-mini-beta"},
+'google/gemini-2.0-flash-lite-001': {'mode': True, 'id': "google/gemini-2.0-flash-lite-001", 'name': "google/gemini-2.0-flash-lite-001"},
+'meta-llama/llama-4-maverick': {'mode': True, 'id': "meta-llama/llama-4-maverick", 'name': "meta-llama/llama-4-maverick"},
+'meta-llama/llama-4-scout:free': {'mode': True, 'id': "meta-llama/llama-4-scout:free", 'name': "meta-llama/llama-4-scout:free"},
+'meta-llama/llama-4-scout': {'mode': True, 'id': "meta-llama/llama-4-scout", 'name': "meta-llama/llama-4-scout"},
+'nvidia/llama-3.1-nemotron-70b-instruct:free': {'mode': True, 'id': "nvidia/llama-3.1-nemotron-70b-instruct:free", 'name': "nvidia/llama-3.1-nemotron-70b-instruct:free"},
+'nvidia/llama-3.1-nemotron-70b-instruct': {'mode': True, 'id': "nvidia/llama-3.1-nemotron-70b-instruct", 'name': "nvidia/llama-3.1-nemotron-70b-instruct"},
+'x-ai/grok-2-vision-1212': {'mode': True, 'id': "x-ai/grok-2-vision-1212", 'name': "x-ai/grok-2-vision-1212"},
+'x-ai/grok-2-1212': {'mode': True, 'id': "x-ai/grok-2-1212", 'name': "x-ai/grok-2-1212"},
+'eleutherai/llemma_7b': {'mode': True, 'id': "eleutherai/llemma_7b", 'name': "eleutherai/llemma_7b"},
+'alfredpros/codellama-7b-instruct-solidity': {'mode': True, 'id': "alfredpros/codellama-7b-instruct-solidity", 'name': "alfredpros/codellama-7b-instruct-solidity"},
+'arliai/qwq-32b-arliai-rpr-v1:free': {'mode': True, 'id': "arliai/qwq-32b-arliai-rpr-v1:free", 'name': "arliai/qwq-32b-arliai-rpr-v1:free"},
+'agentica-org/deepcoder-14b-preview:free': {'mode': True, 'id': "agentica-org/deepcoder-14b-preview:free", 'name': "agentica-org/deepcoder-14b-preview:free"},
+'moonshotai/kimi-vl-a3b-thinking:free': {'mode': True, 'id': "moonshotai/kimi-vl-a3b-thinking:free", 'name': "moonshotai/kimi-vl-a3b-thinking:free"},
+'openrouter/optimus-alpha': {'mode': True, 'id': "openrouter/optimus-alpha", 'name': "openrouter/optimus-alpha"},
+'nvidia/llama-3.1-nemotron-nano-8b-v1:free': {'mode': True, 'id': "nvidia/llama-3.1-nemotron-nano-8b-v1:free", 'name': "nvidia/llama-3.1-nemotron-nano-8b-v1:free"},
+
+
+
+}
+
+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 = {
+    '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",
+    "blackboxai-pro": "/?model=blackboxai-pro",
+}

api/logger.py

@@ -0,0 +1,54 @@
+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] = 1024

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("/us/v1/chat/completions")
+@router.options("/us/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("/us/v1/models")
+@router.get("/us/api/v1/models")
+async def list_models():
+    return {"object": "list", "data": ALLOWED_MODELS}
+
+@router.post("/us/v1/chat/completions")
+@router.post("/us/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('/us/')
+@router.route('/us/healthz')
+@router.route('/us/ready')
+@router.route('/us/alive')
+@router.route('/us/status')
+@router.get("/us/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 +1,533 @@
+import asyncio
+import json
+import random
+import re
+import string
+import time
+import uuid
+from datetime import datetime, timezone
+from typing import Any, Dict, List, Optional
+
+import boto3
+import httpx
+import tiktoken
+import platform
+import hashlib
+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
+)
+from api.logger import setup_logger
+from api.models import ChatRequest
+from api.validate import getHid  # Import the asynchronous getHid function
+
+logger = setup_logger(__name__)
+
+# ---------------------------------------------
+#         CLOUDFLARE R2 CONFIGURATION
+# ---------------------------------------------
+R2_ACCESS_KEY_ID = "df9c9eb87e850a8eb27afd3968077b42"
+R2_SECRET_ACCESS_KEY = "14b08b0855263bb63d2618da3a6537e1b0446d89d51da03a568620b1e5342ea8"
+R2_ENDPOINT_URL = "https://f2f92ac53fae792c4155f6e93a514989.r2.cloudflarestorage.com"
+R2_BUCKET_NAME = "snapzion"
+
+# We always store replaced URLs in one file named snapzion.txt
+R2_REPLACED_URLS_KEY = "snapzion.txt"
+
+s3 = boto3.client(
+    "s3",
+    endpoint_url=R2_ENDPOINT_URL,
+    aws_access_key_id=R2_ACCESS_KEY_ID,
+    aws_secret_access_key=R2_SECRET_ACCESS_KEY,
+)
+
+# Example 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"
+)
+
+# ---------------------------------------------
+#         RANDOM USER-DATA GENERATION
+# ---------------------------------------------
+def get_random_name_email_customer():
+    """
+    Generate a random name, email, and customer ID.
+    The customer ID keeps the same length format as 'cus_Rldf7IKdNhdhiw'.
+    """
+    first_names = ["Alice", "Bob", "Carol", "David", "Evelyn", "Frank", "Grace", "Hector", "Ivy", "Jackie"]
+    last_names = ["Smith", "Johnson", "Davis", "Miller", "Thompson", "Garcia", "Brown", "Wilson", "Martin", "Clark"]
+
+    random_name = f"{random.choice(first_names)} {random.choice(last_names)}"
+    email_username = ''.join(random.choices(string.ascii_lowercase + string.digits, k=8))
+    random_email = f"{email_username}@gmail.com"
+    suffix_length = len("Rldf7IKdNhdhiw")
+    suffix_chars = string.ascii_letters + string.digits
+    random_suffix = ''.join(random.choice(suffix_chars) for _ in range(suffix_length))
+    random_customer_id = f"cus_{random_suffix}"
+
+    return random_name, random_email, random_customer_id
+
+# ---------------------------------------------
+#         HELPER FUNCTIONS
+# ---------------------------------------------
+def generate_system_fingerprint() -> str:
+    raw_data = f"{platform.node()}-{time.time()}-{uuid.uuid4()}"
+    short_hash = hashlib.md5(raw_data.encode()).hexdigest()[:12]
+    return f"fp_{short_hash}"
+
+def get_last_user_prompt(messages: List[Any]) -> str:
+    for msg in reversed(messages):
+        if msg.role == "user":
+            if isinstance(msg.content, str):
+                return msg.content.strip()
+            elif isinstance(msg.content, list):
+                for item in msg.content:
+                    if item.get("type") == "text":
+                        return item.get("text", "").strip()
+    return ""
+
+def upload_replaced_urls_to_r2(urls: List[str], alt_text: str = "") -> None:
+    if not urls:
+        logger.info("No replaced or final Snapzion URLs to store. Skipping snapzion.txt update.")
+        return
+
+    existing_data = ""
+    try:
+        response = s3.get_object(Bucket=R2_BUCKET_NAME, Key=R2_REPLACED_URLS_KEY)
+        existing_data = response['Body'].read().decode('utf-8')
+        logger.info("Successfully read existing snapzion.txt from R2.")
+    except s3.exceptions.NoSuchKey:
+        logger.info("snapzion.txt does not exist yet. Will create a new one.")
+    except Exception as e:
+        logger.error(f"Error reading snapzion.txt from R2: {e}")
+
+    alt_text = alt_text.strip()
+    markdown_lines = [f"![{alt_text}]({url})" for url in urls]
+    to_append = "\n".join(markdown_lines)
+
+    if existing_data.strip():
+        updated_content = existing_data + "\n" + to_append
+    else:
+        updated_content = to_append
+
+    try:
+        s3.put_object(
+            Bucket=R2_BUCKET_NAME,
+            Key=R2_REPLACED_URLS_KEY,
+            Body=updated_content.encode("utf-8"),
+            ContentType="text/plain",
+        )
+        logger.info(f"Appended {len(urls)} new URLs to snapzion.txt in R2 (in Markdown format).")
+    except Exception as e:
+        logger.error(f"Failed to upload replaced URLs to R2: {e}")
+
+def calculate_tokens(text: str, model: str) -> int:
+    try:
+        encoding = tiktoken.encoding_for_model(model)
+        tokens = encoding.encode(text)
+        return len(tokens)
+    except KeyError:
+        logger.warning(f"Model '{model}' not supported by tiktoken for token counting. Using a generic method.")
+        return len(text.split())
+
+def create_chat_completion_data(
+    content: str,
+    model: str,
+    timestamp: int,
+    request_id: str,
+    system_fingerprint: str,
+    prompt_tokens: int = 0,
+    completion_tokens: int = 0,
+    finish_reason: Optional[str] = None,
+    function_call: Optional[Dict] = None,
+) -> Dict[str, Any]:
+    usage = None
+    if finish_reason == "stop":
+        usage = {
+            "prompt_tokens": prompt_tokens,
+            "completion_tokens": completion_tokens,
+            "total_tokens": prompt_tokens + completion_tokens,
+        }
+    return {
+        "id": request_id,
+        "object": "chat.completion.chunk",
+        "created": timestamp,
+        "model": model,
+        "system_fingerprint": system_fingerprint,
+        "choices": [{
+            "index": 0,
+            "delta": {
+                "content": content if not function_call else None,
+                "role": "assistant",
+                "function_call": function_call
+            },
+            "finish_reason": finish_reason
+        }],
+        "usage": usage,
+    }
+
+def message_to_dict(message, model_prefix: Optional[str] = None, tools: Optional[List[Dict]] = None) -> Dict[str, Any]:
+    """
+    Convert a ChatRequest message to a dict for the request payload.
+    Supports function calling, images, and model prefixes.
+    """
+    content = ""
+    images_data = []
+    image_urls = []
+
+    # Handle content based on type
+    if isinstance(message.content, list):
+        for item in message.content:
+            if item.get("type") == "text":
+                content = item.get("text", "").strip()
+            elif item.get("type") == "image_url" and len(images_data) < 3:
+                image_url = item.get("image_url", {}).get("url", "")
+                if image_url:
+                    # Generate unique file path (assuming .jpg, adjust if needed)
+                    file_path = f"MultipleFiles/{uuid.uuid4().hex}.jpg"
+                    images_data.append({"filePath": file_path, "contents": image_url})
+                    image_urls.append({"image_url": {"url": image_url}})
+    elif isinstance(message.content, str):
+        content = message.content.strip()
+
+    # Apply model prefix to text content
+    if model_prefix and content:
+        content = f"{model_prefix} {content}"
+
+    # Create payload with both formats
+    base_message = {"role": message.role, "content": content}
+    if images_data:
+        base_message["data"] = {
+            "imageBase64": images_data[0]["contents"] if images_data else "",
+            "fileText": "",
+            "title": "snapshot",
+            "imagesData": images_data
+        }
+        # Add additional image_url entries for testing
+        for img in image_urls[1:]:  # Skip the first image (already in imageBase64)
+            base_message["content"] = base_message.get("content", "")  # Preserve text
+            base_message.setdefault("content", []).append(img)
+
+    return base_message if images_data else {"role": message.role, "content": content}
+
+def strip_model_prefix(content: str, model_prefix: Optional[str] = None) -> str:
+    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
+
+# ---------------------------------------------
+#    STREAMING RESPONSE HANDLER
+# ---------------------------------------------
+async def process_streaming_response(request: ChatRequest):
+    system_fingerprint = generate_system_fingerprint()
+    random_name, random_email, random_customer_id = get_random_name_email_customer()
+
+    request_id = f"chatcmpl-{uuid.uuid4()}"
+    logger.info(f"Processing request (stream) {request_id} - Model: {request.model}")
+
+    agent_mode = AGENT_MODE.get(request.model, {})
+    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
+    model_prefix = MODEL_PREFIXES.get(request.model, "")
+
+    headers_api_chat = get_headers_api_chat(BASE_URL)
+
+    if request.model == "o1-preview":
+        delay_seconds = random.randint(1, 60)
+        logger.info(f"Delay {delay_seconds}s for model 'o1-preview' (Request: {request_id})")
+        await asyncio.sleep(delay_seconds)
+
+    h_value = await getHid()
+    if not h_value:
+        logger.error("No h-value for validation.")
+        raise HTTPException(status_code=500, detail="Missing h-value.")
+
+    messages = [message_to_dict(msg, model_prefix=model_prefix, tools=request.tools) for msg in request.messages]
+
+    json_data = {
+        "agentMode": agent_mode,
+        "clickedAnswer2": False,
+        "clickedAnswer3": False,
+        "clickedForceWebSearch": False,
+        "codeInterpreterMode": False,
+        "codeModelMode": True,
+        "githubToken": "",
+        "deepSearchMode": False,
+        "domains": None,
+        "id": request_id,
+        "imageGenerationMode": False,
+        "isChromeExt": False,
+        "isMicMode": False,
+        "isPremium": True,
+        "isMemoryEnabled": 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,
+        "visitFromDelta": False,
+        "webSearchModePrompt": False,
+        "vscodeClient": False,
+        "customProfile": {"name": "", "occupation": "", "traits": [], "additionalInfo": "", "enableNewChats": False},
+        "webSearchModeOption": {"autoMode": False, "webMode": False, "offlineMode": True},
+        "session": {
+            "user": {"name": random_name, "email": random_email, "image": "https://lh3.googleusercontent.com/a/...=s96-c", "subscriptionStatus": "PREMIUM"},
+            "expires": datetime.now(timezone.utc).isoformat(timespec='milliseconds').replace('+00:00', 'Z'),
+            "subscriptionCache": {"customerId": random_customer_id, "status": "PREMIUM", "isTrialSubscription": "False", "expiryTimestamp": 1744652408, "lastChecked": int(time.time() * 1000)},
+            "beastMode": False,
+            "reasoningMode": False,
+            "designerMode": False,
+            "workspaceId": "",
+        },
+    }
+
+    prompt_tokens = 0
+    for msg in messages:
+        if "content" in msg:
+            prompt_tokens += calculate_tokens(msg["content"], request.model)
+        if "data" in msg and "imagesData" in msg["data"]:
+            for image_data in msg["data"]["imagesData"]:
+                prompt_tokens += calculate_tokens(image_data["contents"], request.model)
+
+    completion_tokens = 0
+    final_snapzion_links = []
+
+    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 not chunk:
+                        continue
+                    if chunk.startswith("$@$v=undefined-rv1$@$"):
+                        chunk = chunk[21:]
+                    if BLOCKED_MESSAGE in chunk:
+                        logger.info(f"Blocked message found in chunk (Request: {request_id}).")
+                        chunk = chunk.replace(BLOCKED_MESSAGE, "").strip()
+                        if not chunk:
+                            continue
+                    if "https://storage.googleapis.com" in chunk:
+                        chunk = chunk.replace("https://storage.googleapis.com", "https://cdn.snapzion.com")
+                    snapzion_urls = re.findall(r"(https://cdn\.snapzion\.com[^\s\)]+)", chunk)
+                    if snapzion_urls:
+                        final_snapzion_links.extend(snapzion_urls)
+                    cleaned_content = strip_model_prefix(chunk, model_prefix)
+                    completion_tokens += calculate_tokens(cleaned_content, request.model)
+                    
+                    # Handle function call responses
+                    function_call = None
+                    if cleaned_content and cleaned_content.startswith("{"):
+                        try:
+                            function_call = json.loads(cleaned_content)
+                            cleaned_content = None  # Content must be null for function calls
+                        except json.JSONDecodeError:
+                            pass
+                    
+                    yield "data: " + json.dumps(create_chat_completion_data(
+                        cleaned_content, 
+                        request.model,
+                        timestamp,
+                        request_id,
+                        system_fingerprint,
+                        prompt_tokens,
+                        completion_tokens,
+                        finish_reason=None,
+                        function_call=function_call
+                    )) + "\n\n"
+                yield "data: " + json.dumps(create_chat_completion_data("", request.model, timestamp, request_id, system_fingerprint, prompt_tokens, completion_tokens, "stop")) + "\n\n"
+                yield "data: [DONE]\n\n"
+        except httpx.HTTPStatusError as e:
+            logger.error(f"HTTP error (stream) {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 "data: " + json.dumps(create_chat_completion_data(error_message, request.model, int(datetime.now().timestamp()), request_id, system_fingerprint, prompt_tokens, completion_tokens, "error")) + "\n\n"
+            yield "data: [DONE]\n\n"
+        except httpx.RequestError as e:
+            logger.error(f"Request error (stream) {request_id}: {e}")
+            error_message = f"Request error occurred: {e}"
+            yield "data: " + json.dumps(create_chat_completion_data(error_message, request.model, int(datetime.now().timestamp()), request_id, system_fingerprint, prompt_tokens, completion_tokens, "error")) + "\n\n"
+            yield "data: [DONE]\n\n"
+        except Exception as e:
+            logger.error(f"Unhandled error (stream) {request_id}: {e}")
+            error_message = f"An unexpected error occurred: {e}"
+            yield "data: " + json.dumps(create_chat_completion_data(error_message, request.model, int(datetime.now().timestamp()), request_id, system_fingerprint, prompt_tokens, completion_tokens, "error")) + "\n\n"
+            yield "data: [DONE]\n\n"
+
+    last_user_prompt = get_last_user_prompt(request.messages)
+    upload_replaced_urls_to_r2(final_snapzion_links, alt_text=last_user_prompt)
+
+# ---------------------------------------------
+#     NON-STREAMING RESPONSE HANDLER
+# ---------------------------------------------
+async def process_non_streaming_response(request: ChatRequest):
+    system_fingerprint = generate_system_fingerprint()
+    random_name, random_email, random_customer_id = get_random_name_email_customer()
+
+    request_id = f"chatcmpl-{uuid.uuid4()}"
+    logger.info(f"Processing request (non-stream) {request_id} - Model: {request.model}")
+
+    agent_mode = AGENT_MODE.get(request.model, {})
+    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
+    model_prefix = MODEL_PREFIXES.get(request.model, "")
+
+    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"Delay {delay_seconds}s for 'o1-preview' (Request: {request_id})")
+        await asyncio.sleep(delay_seconds)
+
+    h_value = "00f37b34-a166-4efb-bce5-1312d87f2f94"
+    if not h_value:
+        logger.error("Failed to retrieve h-value.")
+        raise HTTPException(status_code=500, detail="Missing h-value.")
+
+    messages = [message_to_dict(msg, model_prefix=model_prefix, tools=request.tools) for msg in request.messages]
+
+    json_data = {
+        "agentMode": agent_mode,
+        "clickedAnswer2": False,
+        "clickedAnswer3": False,
+        "clickedForceWebSearch": False,
+        "codeInterpreterMode": False,
+        "codeModelMode": True,
+        "githubToken": "",
+        "deepSearchMode": False,
+        "domains": None,
+        "id": request_id,
+        "imageGenerationMode": False,
+        "isChromeExt": False,
+        "isMicMode": False,
+        "isPremium": True,
+        "isMemoryEnabled": 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,
+        "visitFromDelta": False,
+        "webSearchModePrompt": False,
+        "vscodeClient": False,
+        "customProfile": {"name": "", "occupation": "", "traits": [], "additionalInfo": "", "enableNewChats": False},
+        "webSearchModeOption": {"autoMode": False, "webMode": False, "offlineMode": True},
+        "session": {
+            "user": {"name": random_name, "email": random_email, "image": "https://lh3.googleusercontent.com/a/...=s96-c", "subscriptionStatus": "PREMIUM"},
+            "expires": datetime.now(timezone.utc).isoformat(timespec='milliseconds').replace('+00:00', 'Z'),
+            "subscriptionCache": {"customerId": random_customer_id, "status": "PREMIUM", "isTrialSubscription": "False", "expiryTimestamp": 1744652408, "lastChecked": int(time.time() * 1000)},
+            "beastMode": False,
+            "reasoningMode": False,
+            "designerMode": False,
+            "workspaceId": "",
+        },
+    }
+
+    prompt_tokens = 0
+    for msg in messages:
+        if "content" in msg:
+            prompt_tokens += calculate_tokens(msg["content"], request.model)
+        if "data" in msg and "imagesData" in msg["data"]:
+            for image_data in msg["data"]["imagesData"]:
+                prompt_tokens += calculate_tokens(image_data["contents"], request.model)
+
+    full_response = ""
+    final_snapzion_links = []
+
+    async with httpx.AsyncClient() as client:
+        try:
+            async with client.stream("POST", 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 (non-stream) {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,
+                "system_fingerprint": system_fingerprint,
+                "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"Request error (non-stream) {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,
+                "system_fingerprint": system_fingerprint,
+                "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"Unexpected error (non-stream) {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,
+                "system_fingerprint": system_fingerprint,
+                "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:]
+    if BLOCKED_MESSAGE in full_response:
+        full_response = full_response.replace(BLOCKED_MESSAGE, "").strip()
+        if not full_response:
+            raise HTTPException(status_code=500, detail="Blocked message in response.")
+    if "https://storage.googleapis.com" in full_response:
+        full_response = full_response.replace("https://storage.googleapis.com", "https://cdn.snapzion.com")
+    snapzion_urls = re.findall(r"(https://cdn\.snapzion\.com[^\s\)]+)", full_response)
+    for link in snapzion_urls:
+        final_snapzion_links.append(link)
+    cleaned_full_response = strip_model_prefix(full_response, model_prefix)
+    completion_tokens = calculate_tokens(cleaned_full_response, request.model)
+    last_user_prompt = get_last_user_prompt(request.messages)
+    upload_replaced_urls_to_r2(final_snapzion_links, alt_text=last_user_prompt)
+
+    return {
+        "id": request_id,
+        "object": "chat.completion",
+        "created": int(datetime.now().timestamp()),
+        "model": request.model,
+        "system_fingerprint": system_fingerprint,
+        "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://blackboxaichat.onrender.com"
+headers = {
+    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 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

dockerignore

@@ -0,0 +1,10 @@
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+*.db
+*.sqlite3
+.env
+.git
+.gitignore
+Dockerfile

gitattributes

@@ -0,0 +1,59 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

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 +1,8 @@
+fastapi==0.95.2
+httpx==0.23.3
+pydantic==1.10.4
+python-dotenv==0.21.0
+uvicorn==0.21.1
+aiohttp
+tiktoken
+boto3