Upload 14 files

.github/workflows/docker-deploy.yml

@@ -36,7 +36,7 @@ jobs:
       with:
         context: .  # The context is the root of your repository
         push: true  # Automatically push the image after building
-        tags: ${{ secrets.DOCKER_USERNAME }}/blackboxv2:v100  # Replace 'your-app-name' with your desired Docker image name
+        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

Dockerfile

@@ -8,9 +8,8 @@ ENV PYTHONUNBUFFERED=1
 # Set the working directory to /app
 WORKDIR /app
 
-# Install system dependencies (if any)
-# For example, if you need gcc for some packages, uncomment the following line
-# RUN apt-get update && apt-get install -y gcc
+# 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 .
@@ -25,5 +24,5 @@ COPY . .
 # Expose port 8001 to the outside world
 EXPOSE 8001
 
-# Command to run the FastAPI app with Uvicorn
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "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/config.py

@@ -3,21 +3,20 @@ from dotenv import load_dotenv
 
 load_dotenv()
 
-# Base URL and Common Headers
 BASE_URL = "https://www.blackbox.ai"
 common_headers = {
     'accept': '*/*',
     'accept-language': 'en-US,en;q=0.9',
-    'cache-control': 'no-cache',
+    'content-type': 'application/json',
     'origin': BASE_URL,
-    'pragma': 'no-cache',
     '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': '"131.0.6778.69"',
-    'sec-ch-ua-full-version-list': '"Google Chrome";v="131.0.6778.69", "Chromium";v="131.0.6778.69", "Not_A Brand";v="24.0.0.0"',
+    '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',
@@ -25,7 +24,6 @@ common_headers = {
     '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}
@@ -83,6 +81,7 @@ ALLOWED_MODELS = [
     {"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"},
@@ -143,6 +142,7 @@ MODEL_MAPPING = {
     "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",
@@ -167,6 +167,7 @@ AGENT_MODE = {
     '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"},
 }
 
 TRENDING_AGENT_MODE = {
@@ -212,8 +213,8 @@ TRENDING_AGENT_MODE = {
 # Model prefixes
 MODEL_PREFIXES = {
     'gpt-4o': '@GPT-4o',
-    'gemini-pro': '@Gemini-PRO',
     'claude-sonnet-3.5': '@Claude-Sonnet-3.5',
+    'gemini-pro': '@Gemini-PRO',
     'PythonAgent': '@python',
     'JavaAgent': '@java',
     'JavaScriptAgent': '@javascript',
@@ -233,7 +234,6 @@ MODEL_PREFIXES = {
     'GitlabAgent': '@gitlab',
     'GitAgent': '@git',
     'blackboxai-pro': '@blackboxai-pro',
-    'flux': '@Image Generation',
     'FlaskAgent': '@flask',
     'FirebaseAgent': '@firebase',
     'FastAPIAgent': '@fastapi',
@@ -256,4 +256,3 @@ MODEL_REFERERS = {
     "claude-sonnet-3.5": "/?model=claude-sonnet-3.5",
     "blackboxai-pro": "/?model=blackboxai-pro",
 }
-

api/routes.py

@@ -1,59 +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({"status": "ok"}), media_type="application/json")
+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

@@ -1,247 +1,248 @@
-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
-
-logger = setup_logger(__name__)
-
-# Define the blocked message
-BLOCKED_MESSAGE = "Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai"
-
-# Helper function to create chat completion data
-def create_chat_completion_data(
-    content: str, model: str, timestamp: int, finish_reason: Optional[str] = None
-) -> Dict[str, Any]:
-    return {
-        "id": f"chatcmpl-{uuid.uuid4()}",
-        "object": "chat.completion.chunk",
-        "created": timestamp,
-        "model": model,
-        "choices": [
-            {
-                "index": 0,
-                "delta": {"content": content, "role": "assistant"},
-                "finish_reason": finish_reason,
-            }
-        ],
-        "usage": None,
-    }
-
-# 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
-        return {
-            "role": message.role,
-            "content": content,
-            "data": {
-                "imageBase64": message.content[1]["image_url"]["url"],
-                "fileText": "",
-                "title": "snapshot",
-            },
-        }
-    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}")
-
-    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' (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.")
-
-    json_data = {
-        "agentMode": agent_mode,
-        "clickedAnswer2": False,
-        "clickedAnswer3": False,
-        "clickedForceWebSearch": False,
-        "codeModelMode": True,
-        "githubToken": None,
-        "id": None,  # Using request_id instead of chat_id
-        "isChromeExt": False,
-        "isMicMode": False,
-        "maxTokens": request.max_tokens,
-        "messages": [message_to_dict(msg, model_prefix=model_prefix) for msg in request.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,
-    }
-
-    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)
-                        yield f"data: {json.dumps(create_chat_completion_data(cleaned_content, request.model, timestamp))}\n\n"
-
-                yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, '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}")
-            raise HTTPException(status_code=e.response.status_code, detail=str(e))
-        except httpx.RequestError as e:
-            logger.error(f"Error occurred during request for Request ID {request_id}: {e}")
-            raise HTTPException(status_code=500, detail=str(e))
-
-# 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}")
-
-    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' (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.")
-
-    json_data = {
-        "agentMode": agent_mode,
-        "clickedAnswer2": False,
-        "clickedAnswer3": False,
-        "clickedForceWebSearch": False,
-        "codeModelMode": True,
-        "githubToken": None,
-        "id": None,  # Using request_id instead of chat_id
-        "isChromeExt": False,
-        "isMicMode": False,
-        "maxTokens": request.max_tokens,
-        "messages": [message_to_dict(msg, model_prefix=model_prefix) for msg in request.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,
-    }
-
-    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}")
-            raise HTTPException(status_code=e.response.status_code, detail=str(e))
-        except httpx.RequestError as e:
-            logger.error(f"Error occurred during request for Request ID {request_id}: {e}")
-            raise HTTPException(status_code=500, detail=str(e))
-    
-    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)
-
-    return {
-        "id": f"chatcmpl-{uuid.uuid4()}",
-        "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": None,
-    }
+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
+
+logger = setup_logger(__name__)
+
+# Define the blocked message
+BLOCKED_MESSAGE = "Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai"
+
+# Helper function to create chat completion data
+def create_chat_completion_data(
+    content: str, model: str, timestamp: int, finish_reason: Optional[str] = None
+) -> Dict[str, Any]:
+    return {
+        "id": f"chatcmpl-{uuid.uuid4()}",
+        "object": "chat.completion.chunk",
+        "created": timestamp,
+        "model": model,
+        "choices": [
+            {
+                "index": 0,
+                "delta": {"content": content, "role": "assistant"},
+                "finish_reason": finish_reason,
+            }
+        ],
+        "usage": None,
+    }
+
+# 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
+        return {
+            "role": message.role,
+            "content": content,
+            "data": {
+                "imageBase64": message.content[1]["image_url"]["url"],
+                "fileText": "",
+                "title": "snapshot",
+            },
+        }
+    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}")
+
+    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' (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.")
+
+    json_data = {
+        "agentMode": agent_mode,
+        "clickedAnswer2": False,
+        "clickedAnswer3": False,
+        "clickedForceWebSearch": False,
+        "codeModelMode": False,
+        "githubToken": None,
+        "id": None,  # Using request_id instead of chat_id
+        "isChromeExt": False,
+        "isMicMode": False,
+        "maxTokens": request.max_tokens,
+        "messages": [message_to_dict(msg, model_prefix=model_prefix) for msg in request.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,
+    }
+
+    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)
+                        yield f"data: {json.dumps(create_chat_completion_data(cleaned_content, request.model, timestamp))}\n\n"
+
+                yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, '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}")
+            raise HTTPException(status_code=e.response.status_code, detail=str(e))
+        except httpx.RequestError as e:
+            logger.error(f"Error occurred during request for Request ID {request_id}: {e}")
+            raise HTTPException(status_code=500, detail=str(e))
+
+# 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}")
+
+    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' (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.")
+
+    json_data = {
+        "agentMode": agent_mode,
+        "clickedAnswer2": False,
+        "clickedAnswer3": False,
+        "clickedForceWebSearch": False,
+        "codeModelMode": True,
+        "githubToken": None,
+        "id": None,  # Using request_id instead of chat_id
+        "isChromeExt": False,
+        "isMicMode": False,
+        "maxTokens": request.max_tokens,
+        "messages": [message_to_dict(msg, model_prefix=model_prefix) for msg in request.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,
+    }
+
+    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}")
+            raise HTTPException(status_code=e.response.status_code, detail=str(e))
+        except httpx.RequestError as e:
+            logger.error(f"Error occurred during request for Request ID {request_id}: {e}")
+            raise HTTPException(status_code=500, detail=str(e))
+    
+    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)
+
+    return {
+        "id": f"chatcmpl-{uuid.uuid4()}",
+        "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": None,
+    }

api/validate.py

@@ -6,21 +6,7 @@ from typing import Optional
 
 base_url = "https://www.blackbox.ai"
 headers = {
-    'accept': '*/*',
-    'accept-language': 'en-US,en;q=0.9',
-    'cache-control': 'no-cache',
-    'content-type': 'application/json',
-    'origin': base_url,
-    'pragma': 'no-cache',
-    'priority': 'u=1, i',
-    'referer': f'{base_url}/',
-    'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
-    'sec-ch-ua-mobile': '?0',
-    'sec-ch-ua-platform': '"Linux"',
-    'sec-fetch-dest': 'empty',
-    'sec-fetch-mode': 'cors',
-    'sec-fetch-site': 'same-origin',
-    'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
+    '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

requirements.txt

@@ -1,6 +1,6 @@
-fastapi==0.95.2
-httpx==0.23.3
-pydantic==1.10.4
-python-dotenv==0.21.0
-uvicorn==0.21.1
-aiohttp
+fastapi==0.95.2
+httpx==0.23.3
+pydantic==1.10.4
+python-dotenv==0.21.0
+uvicorn==0.21.1
+aiohttp