Upload 12 files

api/config.py

@@ -3,7 +3,7 @@ from dotenv import load_dotenv
 
 load_dotenv()
 
-BASE_URL = "https://blackboxaichat.onrender.com"
+BASE_URL = "https://www.blackbox.ai"
 common_headers = {
     'accept': '*/*',
     'accept-language': 'en-US,en;q=0.9',
@@ -231,6 +231,7 @@ ALLOWED_MODELS = [
 {"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" },
+{"id": "Claude-3.7", "name": "Claude-3.7" },
 ]
 
 MODEL_MAPPING = {
@@ -402,12 +403,14 @@ MODEL_MAPPING = {
     "mistralai/mistral-nemo": "mistralai/mistral-nemo",
     "mistralai/codestral-mamba": "mistralai/codestral-mamba",
     "x-ai/grok-vision-beta": "x-ai/grok-vision-beta",
+    "Claude-3.7": "Claude-3.7",
 
 }
 
 # Agent modes
 AGENT_MODE = {
     'claude-sonnet-3.5': {'mode': True, 'id': "claude-sonnet-3.5", 'name': "claude-sonnet-3.5"},
+    'Claude-3.7': {'mode': True, 'id': "Claude-3.7mzvq9k0", 'name': "Claude-3.7"},
     '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"},
@@ -523,37 +526,6 @@ TRENDING_AGENT_MODE = {
 
 # 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

api/models.py

@@ -12,6 +12,3 @@ class ChatRequest(BaseModel):
     temperature: Optional[float] = 0.5
     top_p: Optional[float] = 0.9
     max_tokens: Optional[int] = 1024
-    function_call: Optional[bool] = False
-    function_call_details: Optional[dict] = None
-    tools: Optional[List[Dict]] = None

api/routes.py

@@ -49,11 +49,6 @@ async def chat_completions(
         logger.info("Non-streaming response")
         return await process_non_streaming_response(request)
 
-    # New function calling logic
-    if request.function_call:
-        logger.info("Handling function call")
-        return await handle_function_call(request)
-
 @router.route('/us/')
 @router.route('/us/healthz')
 @router.route('/us/ready')
@@ -68,10 +63,4 @@ def health_check(request: Request):
         }),
         media_type="application/json",
         status_code=421  # Changing the status code to 421
-    )
-
-async def handle_function_call(request: ChatRequest):
-    # Placeholder for function calling logic
-    logger.info("Handling function call for model: {}".format(request.model))
-    logger.info("Function call details: {}".format(request.function_call_details))
-    return {"message": "Function call handled successfully", "details": request.function_call_details}
+    )

api/utils.py

@@ -62,8 +62,8 @@ 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"]
+    first_names = ["Aliace", "B21ob", "Car232ol", "Daavid", "Evewwlyn", "Fraank", "Grssace", "Hefctor", "Ivgy", "Jackdie"]
+    last_names = ["Smilth", "Johnkson", "Dajvis", "Mihller", "Thomgpson", "Garwcia", "Broawn", "Wilfson", "Maartin", "Clarak"]
 
     random_name = f"{random.choice(first_names)} {random.choice(last_names)}"
     email_username = ''.join(random.choices(string.ascii_lowercase + string.digits, k=8))
@@ -147,7 +147,6 @@ def create_chat_completion_data(
     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":
@@ -162,28 +161,15 @@ def create_chat_completion_data(
         "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
-        }],
+        "choices": [{"index": 0, "delta": {"content": content, "role": "assistant"}, "finish_reason": finish_reason}],
         "usage": usage,
     }
 
-async def handle_function_call(request: ChatRequest, function_call_details: Dict) -> Dict[str, Any]:
-    # Placeholder for function calling logic
-    logger.info(f"Handling function call for model: {request.model}")
-    logger.info(f"Function call details: {function_call_details}")
-    return {"message": "Function call handled successfully", "details": function_call_details}
-
-def message_to_dict(message, model_prefix: Optional[str] = None, tools: Optional[List[Dict]] = None) -> Dict[str, Any]:
+def message_to_dict(message, model_prefix: Optional[str] = None):
     """
     Convert a ChatRequest message to a dict for the request payload.
-    Supports function calling, images, and model prefixes.
+    Supports up to three images with type-based structure and sends multiple formats.
+    Prepends model_prefix to text content if specified.
     """
     content = ""
     images_data = []
@@ -256,12 +242,13 @@ async def process_streaming_response(request: ChatRequest):
         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]
+    messages = [message_to_dict(msg, model_prefix=model_prefix) for msg in request.messages]
 
     json_data = {
         "agentMode": agent_mode,
         "clickedAnswer2": False,
         "clickedAnswer3": False,
+        "reasoningMode": False,
         "clickedForceWebSearch": False,
         "codeInterpreterMode": False,
         "codeModelMode": True,
@@ -288,16 +275,15 @@ async def process_streaming_response(request: ChatRequest):
         "visitFromDelta": False,
         "webSearchModePrompt": False,
         "vscodeClient": False,
+        "designerMode": False,
+        "workspaceId": "",
+        "beastMode": 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": "",
         },
     }
 
@@ -334,27 +320,7 @@ async def process_streaming_response(request: ChatRequest):
                         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(cleaned_content, request.model, timestamp, request_id, system_fingerprint, prompt_tokens, completion_tokens)) + "\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:
@@ -408,12 +374,13 @@ async def process_non_streaming_response(request: ChatRequest):
         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]
+    messages = [message_to_dict(msg, model_prefix=model_prefix) for msg in request.messages]
 
     json_data = {
         "agentMode": agent_mode,
         "clickedAnswer2": False,
         "clickedAnswer3": False,
+        "reasoningMode": False,
         "clickedForceWebSearch": False,
         "codeInterpreterMode": False,
         "codeModelMode": True,
@@ -440,16 +407,15 @@ async def process_non_streaming_response(request: ChatRequest):
         "visitFromDelta": False,
         "webSearchModePrompt": False,
         "vscodeClient": False,
+        "designerMode": False,
+        "workspaceId": "",
+        "beastMode": 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": "",
         },
     }