80 files changed, 842 insertions, 4417 deletions

diff --git a/g4f/Provider/AI365VIP.py b/g4f/Provider/AI365VIP.py
index 2dcc8d1c..154cbd34 100644
--- a/g4f/Provider/AI365VIP.py
+++ b/g4f/Provider/AI365VIP.py
@@ -16,11 +16,11 @@ class AI365VIP(AsyncGeneratorProvider, ProviderModelMixin):
     default_model = 'gpt-3.5-turbo'
     models = [
         'gpt-3.5-turbo',
+        'gpt-3.5-turbo-16k',
         'gpt-4o',
-        'claude-3-haiku-20240307',
     ]
     model_aliases = {
-        "claude-3-haiku": "claude-3-haiku-20240307",
+        "gpt-3.5-turbo": "gpt-3.5-turbo-16k",
     }
 
     @classmethod
diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index 88896096..51f8ba55 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -1,20 +1,17 @@
 from __future__ import annotations
 
 from aiohttp import ClientSession, ClientResponseError
-from urllib.parse import urlencode
 import json
-import io
-import asyncio
-
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..image import ImageResponse, is_accepted_format
+from ..image import ImageResponse
 from .helper import format_prompt
+from ..errors import ResponseStatusError
 
 class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://api.airforce"
     text_api_endpoint = "https://api.airforce/chat/completions"
-    image_api_endpoint = "https://api.airforce/v1/imagine2"
+    image_api_endpoint = "https://api.airforce/imagine2"
     working = True
     supports_gpt_35_turbo = True
     supports_gpt_4 = True
@@ -25,53 +22,38 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
     text_models = [
         # Open source models
         'llama-2-13b-chat',
-        
         'llama-3-70b-chat',
         'llama-3-70b-chat-turbo',
         'llama-3-70b-chat-lite',
-        
         'llama-3-8b-chat',
         'llama-3-8b-chat-turbo',
         'llama-3-8b-chat-lite',
-        
         'llama-3.1-405b-turbo',
         'llama-3.1-70b-turbo',
         'llama-3.1-8b-turbo',
-        
         'LlamaGuard-2-8b',
         'Llama-Guard-7b',
         'Meta-Llama-Guard-3-8B',
-
         'Mixtral-8x7B-Instruct-v0.1',
         'Mixtral-8x22B-Instruct-v0.1',
         'Mistral-7B-Instruct-v0.1',
         'Mistral-7B-Instruct-v0.2',
         'Mistral-7B-Instruct-v0.3',
-        
         'Qwen1.5-72B-Chat',
         'Qwen1.5-110B-Chat',
         'Qwen2-72B-Instruct',
-        
         'gemma-2b-it',
         'gemma-2-9b-it',
         'gemma-2-27b-it',
-        
         'dbrx-instruct',
-
         'deepseek-llm-67b-chat',
-        
         'Nous-Hermes-2-Mixtral-8x7B-DPO',
         'Nous-Hermes-2-Yi-34B',
-        
         'WizardLM-2-8x22B',
-        
         'SOLAR-10.7B-Instruct-v1.0',
-        
         'StripedHyena-Nous-7B',      
-        
         'sparkdesk',
         
-        
         # Other models
         'chatgpt-4o-latest',
         'gpt-4',
@@ -85,10 +67,10 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
         'gpt-3.5-turbo-16k',
         'gpt-3.5-turbo-0613',
         'gpt-3.5-turbo-16k-0613',
-        
         'gemini-1.5-flash',
         'gemini-1.5-pro',
     ]
+    
     image_models = [
         'flux',
         'flux-realism',
@@ -96,7 +78,9 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
         'flux-3d',
         'flux-disney',
         'flux-pixel',
+        'flux-4o',
         'any-dark',
+        'dall-e-3',
     ]
     
     models = [
@@ -106,61 +90,47 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
     model_aliases = {
         # Open source models
         "llama-2-13b": "llama-2-13b-chat",
-        
         "llama-3-70b": "llama-3-70b-chat",
         "llama-3-70b": "llama-3-70b-chat-turbo",
         "llama-3-70b": "llama-3-70b-chat-lite",
-        
         "llama-3-8b": "llama-3-8b-chat",
         "llama-3-8b": "llama-3-8b-chat-turbo",
         "llama-3-8b": "llama-3-8b-chat-lite",
-        
         "llama-3.1-405b": "llama-3.1-405b-turbo",
         "llama-3.1-70b": "llama-3.1-70b-turbo",
         "llama-3.1-8b": "llama-3.1-8b-turbo",
-        
         "mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1",
         "mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1",
         "mistral-7b": "Mistral-7B-Instruct-v0.1",
         "mistral-7b": "Mistral-7B-Instruct-v0.2",
         "mistral-7b": "Mistral-7B-Instruct-v0.3",
-        
         "mixtral-8x7b-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
-        
-        "qwen-1-5-72b": "Qwen1.5-72B-Chat",
-        "qwen-1_5-110b": "Qwen1.5-110B-Chat",
+        "qwen-1.5-72b": "Qwen1.5-72B-Chat",
+        "qwen-1.5-110b": "Qwen1.5-110B-Chat",
         "qwen-2-72b": "Qwen2-72B-Instruct",
-        
         "gemma-2b": "gemma-2b-it",
         "gemma-2b-9b": "gemma-2-9b-it",
         "gemma-2b-27b": "gemma-2-27b-it",
-        
         "deepseek": "deepseek-llm-67b-chat",
-        
         "yi-34b": "Nous-Hermes-2-Yi-34B",
-        
         "wizardlm-2-8x22b": "WizardLM-2-8x22B",
-        
         "solar-10-7b": "SOLAR-10.7B-Instruct-v1.0",
-        
         "sh-n-7b": "StripedHyena-Nous-7B",
-        
         "sparkdesk-v1.1": "sparkdesk",
         
-        
         # Other models
         "gpt-4o": "chatgpt-4o-latest",
         "gpt-4o-mini": "gpt-4o-mini-2024-07-18",
-        
         "gpt-3.5-turbo": "gpt-3.5-turbo-0125",
         "gpt-3.5-turbo": "gpt-3.5-turbo-1106",
         "gpt-3.5-turbo": "gpt-3.5-turbo-16k",
         "gpt-3.5-turbo": "gpt-3.5-turbo-0613",
         "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613",
-        
-        
         "gemini-flash": "gemini-1.5-flash",
         "gemini-pro": "gemini-1.5-pro",
+        
+        # Image models
+        "dalle-3": "dall-e-3",
     }
 
     @classmethod
@@ -178,16 +148,20 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
             "accept-language": "en-US,en;q=0.9",
             "content-type": "application/json",
             "origin": "https://api.airforce",
-            "sec-ch-ua": '"Chromium";v="128", "Not(A:Brand";v="24"',
+            "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36",
+            "authorization": "Bearer null",
+            "cache-control": "no-cache",
+            "pragma": "no-cache",
+            "priority": "u=1, i",
+            "referer": "https://llmplayground.net/",
+            "sec-ch-ua": '"Not;A=Brand";v="24", "Chromium";v="128"',
             "sec-ch-ua-mobile": "?0",
             "sec-ch-ua-platform": '"Linux"',
             "sec-fetch-dest": "empty",
             "sec-fetch-mode": "cors",
             "sec-fetch-site": "cross-site",
-            "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36"
         }
 
-        
         if model in cls.image_models:
             async for item in cls.generate_image(model, messages, headers, proxy, **kwargs):
                 yield item
@@ -197,31 +171,44 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
 
     @classmethod
     async def generate_text(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult:
-        async with ClientSession(headers=headers) as session:
+        async with ClientSession() as session:
             data = {
-                "messages": [{"role": "user", "content": format_prompt(messages)}],
+                "messages": [{"role": "user", "content": message['content']} for message in messages],
                 "model": model,
+                "max_tokens": kwargs.get('max_tokens', 4096),
                 "temperature": kwargs.get('temperature', 1),
                 "top_p": kwargs.get('top_p', 1),
                 "stream": True
             }
-            
-            async with session.post(cls.text_api_endpoint, json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                async for line in response.content:
-                    if line:
-                        line = line.decode('utf-8').strip()
-                        if line.startswith("data: "):
-                            try:
-                                data = json.loads(line[6:])
-                                if 'choices' in data and len(data['choices']) > 0:
-                                    delta = data['choices'][0].get('delta', {})
-                                    if 'content' in delta:
-                                        yield delta['content']
-                            except json.JSONDecodeError:
-                                continue
-                        elif line == "data: [DONE]":
-                            break
+
+            try:
+                async with session.post(cls.text_api_endpoint, json=data, headers=headers, proxy=proxy) as response:
+                    response.raise_for_status()
+                    async for line in response.content:
+                        if line:
+                            line = line.decode('utf-8').strip()
+                            if line.startswith("data: "):
+                                if line == "data: [DONE]":
+                                    break
+                                try:
+                                    data = json.loads(line[6:])
+                                    if 'choices' in data and len(data['choices']) > 0:
+                                        delta = data['choices'][0].get('delta', {})
+                                        if 'content' in delta:
+                                            content = delta['content']
+                                            if "One message exceeds the 1000chars per message limit" in content:
+                                                raise ResponseStatusError(
+                                                    "Message too long",
+                                                    400,
+                                                    "Please try a shorter message."
+                                                )
+                                            yield content
+                                except json.JSONDecodeError:
+                                    continue
+            except ResponseStatusError as e:
+                raise e
+            except Exception as e:
+                raise ResponseStatusError(str(e), 500, "An unexpected error occurred")
 
     @classmethod
     async def generate_image(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult:
@@ -246,10 +233,10 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
                     else:
                         try:
                             text = content.decode('utf-8', errors='ignore')
-                            yield f"Error: {text}"
+                            raise ResponseStatusError("Image generation failed", response.status, text)
                         except Exception as decode_error:
-                            yield f"Error: Unable to decode response - {str(decode_error)}"
+                            raise ResponseStatusError("Decoding error", 500, str(decode_error))
         except ClientResponseError as e:
-            yield f"Error: HTTP {e.status}: {e.message}"
+            raise ResponseStatusError(f"HTTP {e.status}", e.status, e.message)
         except Exception as e:
-            yield f"Unexpected error: {str(e)}"
+            raise ResponseStatusError("Unexpected error", 500, str(e))
diff --git a/g4f/Provider/Aura.py b/g4f/Provider/Aura.py
index 4a8d0a55..e2c56754 100644
--- a/g4f/Provider/Aura.py
+++ b/g4f/Provider/Aura.py
@@ -9,7 +9,7 @@ from ..webdriver import WebDriver
 
 class Aura(AsyncGeneratorProvider):
     url = "https://openchat.team"
-    working = True
+    working = False
 
     @classmethod
     async def create_async_generator(
@@ -46,4 +46,4 @@ class Aura(AsyncGeneratorProvider):
             async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) as response:
                 response.raise_for_status()
                 async for chunk in response.content.iter_any():
-                    yield chunk.decode(error="ignore")
\ No newline at end of file
+                    yield chunk.decode(error="ignore")
diff --git a/g4f/Provider/Bixin123.py b/g4f/Provider/Bixin123.py
index 39422c93..081064f9 100644
--- a/g4f/Provider/Bixin123.py
+++ b/g4f/Provider/Bixin123.py
@@ -15,7 +15,7 @@ class Bixin123(AsyncGeneratorProvider, ProviderModelMixin):
     supports_gpt_4 = True
 
     default_model = 'gpt-3.5-turbo-0125'
-    models = ['gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613', 'gpt-4-turbo', 'qwen-turbo']
+    models = ['gpt-3.5-turbo', 'gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613', 'gpt-4-turbo', 'qwen-turbo']
     
     model_aliases = {
         "gpt-3.5-turbo": "gpt-3.5-turbo-0125",
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index e607a43c..40696c82 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import re
-import json
 import random
 import string
 from aiohttp import ClientSession
@@ -25,22 +24,44 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         "llama-3.1-8b",
         'llama-3.1-70b',
         'llama-3.1-405b',
-        'ImageGenerationLV45LJp'
+        'ImageGenerationLV45LJp',
+        'GPT-4o',
+        'Gemini-PRO',
+        'Claude-Sonnet-3.5',
     ]
+    
+    model_aliases = {
+        "gemini-flash": "gemini-1.5-flash",
+        "flux": "ImageGenerationLV45LJp",
+        "gpt-4o": "GPT-4o",
+        "gemini-pro": "Gemini-PRO",
+        "claude-3.5-sonnet": "Claude-Sonnet-3.5",
+    }
+
+    agentMode = {
+        'ImageGenerationLV45LJp': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
+    }
 
-    model_config = {
+    trendingAgentMode = {
         "blackbox": {},
         "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-3.1-405b"},
-        'ImageGenerationLV45LJp': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
+    }
+    
+    userSelectedModel = {
+        "GPT-4o": "GPT-4o",
+        "Gemini-PRO": "Gemini-PRO",
+        'Claude-Sonnet-3.5': "Claude-Sonnet-3.5",
     }
 
     @classmethod
     def get_model(cls, model: str) -> str:
         if model in cls.models:
             return model
+        elif model in cls.userSelectedModel:
+            return model
         elif model in cls.model_aliases:
             return cls.model_aliases[model]
         else:
@@ -74,6 +95,11 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
             "sec-fetch-site": "same-origin",
             "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36"
         }
+
+        if model in cls.userSelectedModel:
+            prefix = f"@{cls.userSelectedModel[model]}"
+            if not messages[0]['content'].startswith(prefix):
+                messages[0]['content'] = f"{prefix} {messages[0]['content']}"
         
         async with ClientSession(headers=headers) as session:
             if image is not None:
@@ -92,21 +118,27 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
                 "codeModelMode": True,
                 "agentMode": {},
                 "trendingAgentMode": {},
+                "userSelectedModel": None,
                 "isMicMode": False,
-                "maxTokens": None,
+                "maxTokens": 99999999,
+                "playgroundTopP": 0.9,
+                "playgroundTemperature": 0.5,
                 "isChromeExt": False,
                 "githubToken": None,
                 "clickedAnswer2": False,
                 "clickedAnswer3": False,
                 "clickedForceWebSearch": False,
                 "visitFromDelta": False,
-                "mobileClient": False
+                "mobileClient": False,
+                "webSearchMode": False,
             }
 
-            if model == 'ImageGenerationLV45LJp':
-                data["agentMode"] = cls.model_config[model]
-            else:
-                data["trendingAgentMode"] = cls.model_config[model]
+            if model in cls.agentMode:
+                data["agentMode"] = cls.agentMode[model]
+            elif model in cls.trendingAgentMode:
+                data["trendingAgentMode"] = cls.trendingAgentMode[model]
+            elif model in cls.userSelectedModel:
+                data["userSelectedModel"] = cls.userSelectedModel[model]
             
             async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
                 response.raise_for_status()
@@ -119,9 +151,10 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
                     else:
                         raise Exception("Image URL not found in the response")
                 else:
-                    async for chunk in response.content:
+                    async for chunk in response.content.iter_any():
                         if chunk:
                             decoded_chunk = chunk.decode()
-                            if decoded_chunk.startswith('$@$v=undefined-rv1$@$'):
-                                decoded_chunk = decoded_chunk[len('$@$v=undefined-rv1$@$'):]
-                            yield decoded_chunk
+                            # Видаляємо префікс $@$v=v1.10-rv1$@$ та інші подібні
+                            decoded_chunk = re.sub(r'\$@\$v=[^$]+\$@\$', '', decoded_chunk)
+                            if decoded_chunk.strip():  # Перевіряємо, чи залишився якийсь текст після видалення префікса
+                                yield decoded_chunk
diff --git a/g4f/Provider/ChatGot.py b/g4f/Provider/ChatGot.py
deleted file mode 100644
index 55e8d0b6..00000000
--- a/g4f/Provider/ChatGot.py
+++ /dev/null
@@ -1,75 +0,0 @@
-from __future__ import annotations
-
-import time
-from hashlib import sha256
-
-from aiohttp import BaseConnector, ClientSession
-
-from ..errors import RateLimitError
-from ..requests import raise_for_status
-from ..requests.aiohttp import get_connector
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-
-
-class ChatGot(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://www.chatgot.one/"
-    working = True
-    supports_message_history = True
-    default_model = 'gemini-pro'
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        connector: BaseConnector = None,
-        **kwargs,
-    ) -> AsyncResult:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:122.0) Gecko/20100101 Firefox/122.0",
-            "Accept": "*/*",
-            "Accept-Language": "en-US,en;q=0.5",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Content-Type": "text/plain;charset=UTF-8",
-            "Referer": f"{cls.url}/",
-            "Origin": cls.url,
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-            "Connection": "keep-alive",
-            "TE": "trailers",
-        }
-        async with ClientSession(
-            connector=get_connector(connector, proxy), headers=headers
-        ) as session:
-            timestamp = int(time.time() * 1e3)
-            data = {
-                "messages": [
-                    {
-                        "role": "model" if message["role"] == "assistant" else "user",
-                        "parts": [{"text": message["content"]}],
-                    }
-                    for message in messages
-                ],
-                "time": timestamp,
-                "pass": None,
-                "sign": generate_signature(timestamp, messages[-1]["content"]),
-            }
-            async with session.post(
-                f"{cls.url}/api/generate", json=data, proxy=proxy
-            ) as response:
-                if response.status == 500:
-                    if "Quota exceeded" in await response.text():
-                        raise RateLimitError(
-                            f"Response {response.status}: Rate limit reached"
-                        )
-                await raise_for_status(response)
-                async for chunk in response.content.iter_any():
-                    yield chunk.decode(errors="ignore")
-
-
-def generate_signature(time: int, text: str, secret: str = ""):
-    message = f"{time}:{text}:{secret}"
-    return sha256(message.encode()).hexdigest()
diff --git a/g4f/Provider/ChatGpt.py b/g4f/Provider/ChatGpt.py
index 878fb424..fc34fc2b 100644
--- a/g4f/Provider/ChatGpt.py
+++ b/g4f/Provider/ChatGpt.py
@@ -76,7 +76,13 @@ class ChatGpt(AbstractProvider, ProviderModelMixin):
     supports_message_history = True
     supports_system_message = True
     supports_stream = True
-
+    models = [
+        'gpt-4o',
+        'gpt-4o-mini',
+        'gpt-4',
+        'gpt-4-turbo',
+        'chatgpt-4o-latest',
+    ]
 
     @classmethod
     def create_completion(
@@ -197,4 +203,4 @@ class ChatGpt(AbstractProvider, ProviderModelMixin):
                     
                     yield tokens.replace(replace, '')
                     
-                    replace = tokens
\ No newline at end of file
+                    replace = tokens
diff --git a/g4f/Provider/ChatGptEs.py b/g4f/Provider/ChatGptEs.py
index d94ba59e..0e7062e5 100644
--- a/g4f/Provider/ChatGptEs.py
+++ b/g4f/Provider/ChatGptEs.py
@@ -1,95 +1,85 @@
 from __future__ import annotations
 
-from ..typing import Messages, CreateResult
-from ..providers.base_provider import AbstractProvider, ProviderModelMixin
+from aiohttp import ClientSession
+import os
+import json
+import re
 
-import requests, os, re, json
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
 
-class ChatGptEs(AbstractProvider, ProviderModelMixin):
-    label = "ChatGptEs"
+class ChatGptEs(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://chatgpt.es"
+    api_endpoint = "https://chatgpt.es/wp-admin/admin-ajax.php"
     working = True
-    supports_message_history = True
+    supports_gpt_4 = True
+    supports_stream = True
     supports_system_message = True
-    supports_stream = False
+    supports_message_history = True
+    
+    default_model = 'gpt-4o'
+    models = ['gpt-4o', 'gpt-4o-mini', 'chatgpt-4o-latest']
+    
+    model_aliases = {
+        "gpt-4o": "chatgpt-4o-latest",
+    }
+
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        if model in cls.models:
+            return model
+        elif model in cls.model_aliases:
+            return cls.model_aliases[model]
+        else:
+            return cls.default_model
 
     @classmethod
-    def create_completion(
+    async def create_async_generator(
         cls,
         model: str,
         messages: Messages,
-        stream: bool,
+        proxy: str = None,
         **kwargs
-    ) -> CreateResult:
+    ) -> AsyncResult:
+        model = cls.get_model(model)
         
-        if model not in [
-            'gpt-4o',
-            'gpt-4o-mini',
-            'chatgpt-4o-latest'
-        ]:
-            raise ValueError(f"Unsupported model: {model}")
-
         headers = {
-            'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'cache-control': 'no-cache',
-            'pragma': 'no-cache',
-            'priority': 'u=0, i',
-            'referer': 'https://www.google.com/',
-            'sec-ch-ua': '"Google Chrome";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'document',
-            'sec-fetch-mode': 'navigate',
-            'sec-fetch-site': 'cross-site',
-            'sec-fetch-user': '?1',
-            'upgrade-insecure-requests': '1',
-            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36',
+            "authority": "chatgpt.es",
+            "accept": "application/json",
+            "origin": cls.url,
+            "referer": f"{cls.url}/chat",
+            "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36",
         }
 
-        response = requests.get('https://chatgpt.es/', headers=headers)
-        nonce_   = re.findall(r'data-nonce="(.+?)"', response.text)[0]
-        post_id  = re.findall(r'data-post-id="(.+?)"', response.text)[0]
+        async with ClientSession(headers=headers) as session:
+            initial_response = await session.get(cls.url)
+            nonce_ = re.findall(r'data-nonce="(.+?)"', await initial_response.text())[0]
+            post_id = re.findall(r'data-post-id="(.+?)"', await initial_response.text())[0]
 
-        headers = {
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'cache-control': 'no-cache',
-            'origin': 'https://chatgpt.es',
-            'pragma': 'no-cache',
-            'priority': 'u=1, i',
-            'referer': 'https://chatgpt.es/',
-            'sec-ch-ua': '"Google Chrome";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-origin',
-            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36',
-        }
-        
-        conversation_history = [
-            "Human: stricly respond in the same language as my prompt, preferably english"
-        ]
-        
-        for message in messages[:-1]:
-            if message['role'] == "user":
-                conversation_history.append(f"Human: {message['content']}")
-            else:
-                conversation_history.append(f"AI: {message['content']}")
+            conversation_history = [
+                "Human: strictly respond in the same language as my prompt, preferably English"
+            ]
 
-        payload = {
-            '_wpnonce': nonce_,
-            'post_id': post_id,
-            'url': 'https://chatgpt.es',
-            'action': 'wpaicg_chat_shortcode_message',
-            'message': messages[-1]['content'],
-            'bot_id': '0',
-            'chatbot_identity': 'shortcode',
-            'wpaicg_chat_client_id': os.urandom(5).hex(),
-            'wpaicg_chat_history': json.dumps(conversation_history)
-        }
+            for message in messages[:-1]:
+                if message['role'] == "user":
+                    conversation_history.append(f"Human: {message['content']}")
+                else:
+                    conversation_history.append(f"AI: {message['content']}")
 
-        response = requests.post('https://chatgpt.es/wp-admin/admin-ajax.php', 
-                                headers=headers, data=payload).json()
-        
-        return (response['data'])
\ No newline at end of file
+            payload = {
+                '_wpnonce': nonce_,
+                'post_id': post_id,
+                'url': cls.url,
+                'action': 'wpaicg_chat_shortcode_message',
+                'message': messages[-1]['content'],
+                'bot_id': '0',
+                'chatbot_identity': 'shortcode',
+                'wpaicg_chat_client_id': os.urandom(5).hex(),
+                'wpaicg_chat_history': json.dumps(conversation_history)
+            }
+
+            async with session.post(cls.api_endpoint, headers=headers, data=payload) as response:
+                response.raise_for_status()
+                result = await response.json()
+                yield result['data']
diff --git a/g4f/Provider/Chatgpt4o.py b/g4f/Provider/Chatgpt4o.py
index f3dc8a15..d38afb7d 100644
--- a/g4f/Provider/Chatgpt4o.py
+++ b/g4f/Provider/Chatgpt4o.py
@@ -13,7 +13,13 @@ class Chatgpt4o(AsyncProvider, ProviderModelMixin):
     working = True
     _post_id = None
     _nonce = None
-    default_model = 'gpt-4o'
+    default_model = 'gpt-4o-mini-2024-07-18'
+    models = [
+        'gpt-4o-mini-2024-07-18',
+    ]
+    model_aliases = {
+        "gpt-4o-mini": "gpt-4o-mini-2024-07-18",
+    }
 
 
     @classmethod
diff --git a/g4f/Provider/CodeNews.py b/g4f/Provider/CodeNews.py
deleted file mode 100644
index 05ec7a45..00000000
--- a/g4f/Provider/CodeNews.py
+++ /dev/null
@@ -1,94 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-from asyncio import sleep
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
-
-
-class CodeNews(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://codenews.cc"
-    api_endpoint = "https://codenews.cc/chatxyz13"
-    working = True
-    supports_gpt_35_turbo = True
-    supports_gpt_4 = False
-    supports_stream = True
-    supports_system_message = False
-    supports_message_history = False
-    
-    default_model = 'free_gpt'
-    models = ['free_gpt', 'gpt-4o-mini', 'deepseek-coder', 'chatpdf']
-    
-    model_aliases = {
-        "glm-4": "free_gpt",
-        "gpt-3.5-turbo": "chatpdf",
-        "deepseek": "deepseek-coder",
-    }
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-        
-        headers = {
-            "accept": "application/json, text/javascript, */*; q=0.01",
-            "accept-language": "en-US,en;q=0.9",
-            "cache-control": "no-cache",
-            "content-type": "application/x-www-form-urlencoded; charset=UTF-8",
-            "origin": cls.url,
-            "pragma": "no-cache",
-            "priority": "u=1, i",
-            "referer": f"{cls.url}/chatgpt",
-            "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
-            "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/127.0.0.0 Safari/537.36",
-            "x-requested-with": "XMLHttpRequest",
-        }
-        async with ClientSession(headers=headers) as session:
-            prompt = format_prompt(messages)
-            data = {
-                "chatgpt_input": prompt,
-                "qa_type2": model,
-                "chatgpt_version_value": "20240804",
-                "enable_web_search": "0",
-                "enable_agent": "0",
-                "dy_video_text_extract": "0",
-                "enable_summary": "0",
-            }
-            async with session.post(cls.api_endpoint, data=data, proxy=proxy) as response:
-                response.raise_for_status()
-                json_data = await response.json()
-                chat_id = json_data["data"]["id"]
-
-            headers["content-type"] = "application/x-www-form-urlencoded; charset=UTF-8"
-            data = {"current_req_count": "2"}
-            
-            while True:
-                async with session.post(f"{cls.url}/chat_stream", headers=headers, data=data, proxy=proxy) as response:
-                    response.raise_for_status()
-                    json_data = await response.json()
-                    if json_data["data"]:
-                        yield json_data["data"]
-                        break
-                    else:
-                        await sleep(1)  # Затримка перед наступним запитом
diff --git a/g4f/Provider/DDG.py b/g4f/Provider/DDG.py
index c8c36fc9..1eae7b39 100644
--- a/g4f/Provider/DDG.py
+++ b/g4f/Provider/DDG.py
@@ -2,115 +2,108 @@ from __future__ import annotations
 
 import json
 import aiohttp
-import asyncio
-from typing import Optional
-import base64
+from aiohttp import ClientSession
 
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import get_connector
 from ..typing import AsyncResult, Messages
-from ..requests.raise_for_status import raise_for_status
-from ..providers.conversation import BaseConversation
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
 
 class DDG(AsyncGeneratorProvider, ProviderModelMixin):
-    url = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS9haWNoYXQ=").decode("utf-8")
+    url = "https://duckduckgo.com"
+    api_endpoint = "https://duckduckgo.com/duckchat/v1/chat"
     working = True
-    supports_gpt_35_turbo = True
+    supports_gpt_4 = True
+    supports_stream = True
+    supports_system_message = True
     supports_message_history = True
 
     default_model = "gpt-4o-mini"
-    models = ["gpt-4o-mini", "claude-3-haiku-20240307", "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo", "mistralai/Mixtral-8x7B-Instruct-v0.1"]
+    models = [
+        "gpt-4o-mini",
+        "claude-3-haiku-20240307",
+        "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
+        "mistralai/Mixtral-8x7B-Instruct-v0.1"
+    ]
     model_aliases = {
         "claude-3-haiku": "claude-3-haiku-20240307",
         "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
         "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1"
     }
 
-    # Obfuscated URLs and headers
-    status_url = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS9kdWNrY2hhdC92MS9zdGF0dXM=").decode("utf-8")
-    chat_url = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS9kdWNrY2hhdC92MS9jaGF0").decode("utf-8")
-    referer = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbS8=").decode("utf-8")
-    origin = base64.b64decode("aHR0cHM6Ly9kdWNrZHVja2dvLmNvbQ==").decode("utf-8")
-    
-    user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36'
-    headers = {
-        'User-Agent': user_agent,
-        'Accept': 'text/event-stream',
-        'Accept-Language': 'en-US,en;q=0.5',
-        'Accept-Encoding': 'gzip, deflate, br, zstd',
-        'Referer': referer,
-        'Content-Type': 'application/json',
-        'Origin': origin,
-        'Connection': 'keep-alive',
-        'Cookie': 'dcm=3',
-        'Sec-Fetch-Dest': 'empty',
-        'Sec-Fetch-Mode': 'cors',
-        'Sec-Fetch-Site': 'same-origin',
-        'Pragma': 'no-cache',
-        'TE': 'trailers'
-    }
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        return cls.model_aliases.get(model, model) if model in cls.model_aliases else cls.default_model
 
     @classmethod
-    async def get_vqd(cls, session: aiohttp.ClientSession) -> Optional[str]:
-        try:
-            async with session.get(cls.status_url, headers={"x-vqd-accept": "1"}) as response:
-                await raise_for_status(response)
-                return response.headers.get("x-vqd-4")
-        except Exception as e:
-            print(f"Error getting VQD: {e}")
-            return None
+    async def get_vqd(cls):
+        status_url = "https://duckduckgo.com/duckchat/v1/status"
+        
+        headers = {
+            'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36',
+            'Accept': 'text/event-stream',
+            'x-vqd-accept': '1'
+        }
+
+        async with aiohttp.ClientSession() as session:
+            try:
+                async with session.get(status_url, headers=headers) as response:
+                    if response.status == 200:
+                        return response.headers.get("x-vqd-4")
+                    else:
+                        print(f"Error: Status code {response.status}")
+                        return None
+            except Exception as e:
+                print(f"Error getting VQD: {e}")
+                return None
 
     @classmethod
     async def create_async_generator(
         cls,
         model: str,
         messages: Messages,
+        conversation: dict = None,
         proxy: str = None,
-        connector: aiohttp.BaseConnector = None,
-        conversation: Conversation = None,
-        return_conversation: bool = False,
         **kwargs
     ) -> AsyncResult:
-        async with aiohttp.ClientSession(headers=cls.headers, connector=get_connector(connector, proxy)) as session:
-            vqd_4 = None
-            if conversation is not None and len(messages) > 1:
-                vqd_4 = conversation.vqd_4
-                messages = [*conversation.messages, messages[-2], messages[-1]]
-            else:
-                for _ in range(3):  # Try up to 3 times to get a valid VQD
-                    vqd_4 = await cls.get_vqd(session)
-                    if vqd_4:
-                        break
-                    await asyncio.sleep(1)  # Wait a bit before retrying
-                
-                if not vqd_4:
-                    raise Exception("Failed to obtain a valid VQD token")
-                
-                messages = [messages[-1]]  # Only use the last message for new conversations
-            
-            payload = {
-                'model': cls.get_model(model),
-                'messages': [{'role': m['role'], 'content': m['content']} for m in messages]
+        model = cls.get_model(model)
+
+        headers = {
+            'accept': 'text/event-stream',
+            'content-type': 'application/json',
+            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36',
+        }
+
+        vqd = conversation.get('vqd') if conversation else await cls.get_vqd()
+        if not vqd:
+            raise Exception("Failed to obtain VQD token")
+
+        headers['x-vqd-4'] = vqd
+
+        if conversation:
+            message_history = conversation.get('messages', [])
+            message_history.append({"role": "user", "content": format_prompt(messages)})
+        else:
+            message_history = [{"role": "user", "content": format_prompt(messages)}]
+
+        async with ClientSession(headers=headers) as session:
+            data = {
+                "model": model,
+                "messages": message_history
             }
-            
-            async with session.post(cls.chat_url, json=payload, headers={"x-vqd-4": vqd_4}) as response:
-                await raise_for_status(response)
-                if return_conversation:
-                    yield Conversation(vqd_4, messages)
-                
-                async for line in response.content:
-                    if line.startswith(b"data: "):
-                        chunk = line[6:]
-                        if chunk.startswith(b"[DONE]"):
-                            break
-                        try:
-                            data = json.loads(chunk)
-                            if "message" in data and data["message"]:
-                                yield data["message"]
-                        except json.JSONDecodeError:
-                            print(f"Failed to decode JSON: {chunk}")
 
-class Conversation(BaseConversation):
-    def __init__(self, vqd_4: str, messages: Messages) -> None:
-        self.vqd_4 = vqd_4
-        self.messages = messages
+            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for line in response.content:
+                    if line:
+                        decoded_line = line.decode('utf-8')
+                        if decoded_line.startswith('data: '):
+                            json_str = decoded_line[6:]
+                            if json_str == '[DONE]':
+                                break
+                            try:
+                                json_data = json.loads(json_str)
+                                if 'message' in json_data:
+                                    yield json_data['message']
+                            except json.JSONDecodeError:
+                                pass
diff --git a/g4f/Provider/DeepInfraChat.py b/g4f/Provider/DeepInfraChat.py
new file mode 100644
index 00000000..fa6dd2fe
--- /dev/null
+++ b/g4f/Provider/DeepInfraChat.py
@@ -0,0 +1,142 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+import json
+
+from ..typing import AsyncResult, Messages, ImageType
+from ..image import to_data_uri
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+
+class DeepInfraChat(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://deepinfra.com/chat"
+    api_endpoint = "https://api.deepinfra.com/v1/openai/chat/completions"
+    working = True
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
+    
+    default_model = 'meta-llama/Meta-Llama-3.1-70B-Instruct'
+    models = [
+        'meta-llama/Meta-Llama-3.1-405B-Instruct',
+        'meta-llama/Meta-Llama-3.1-70B-Instruct',
+        'meta-llama/Meta-Llama-3.1-8B-Instruct',
+        'mistralai/Mixtral-8x22B-Instruct-v0.1',
+        'mistralai/Mixtral-8x7B-Instruct-v0.1',
+        'microsoft/WizardLM-2-8x22B',
+        'microsoft/WizardLM-2-7B',
+        'Qwen/Qwen2-72B-Instruct',
+        'microsoft/Phi-3-medium-4k-instruct',
+        'google/gemma-2-27b-it',
+        'openbmb/MiniCPM-Llama3-V-2_5', # Image upload is available
+        'mistralai/Mistral-7B-Instruct-v0.3',
+        'lizpreciatior/lzlv_70b_fp16_hf',
+        'openchat/openchat-3.6-8b',
+        'Phind/Phind-CodeLlama-34B-v2',
+        'cognitivecomputations/dolphin-2.9.1-llama-3-70b',
+    ]
+    model_aliases = {
+        "llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct",
+        "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct",
+        "Llama-3.1-8B": "meta-llama/Meta-Llama-3.1-8B-Instruct",
+        "mixtral-8x22b": "mistralai/Mixtral-8x22B-Instruct-v0.1",
+        "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        "wizardlm-2-8x22b": "microsoft/WizardLM-2-8x22B",
+        "wizardlm-2-7b": "microsoft/WizardLM-2-7B",
+        "qwen-2-72b": "Qwen/Qwen2-72B-Instruct",
+        "phi-3-medium-4k": "microsoft/Phi-3-medium-4k-instruct",
+        "gemma-2b-27b": "google/gemma-2-27b-it",
+        "minicpm-llama-3-v2.5": "openbmb/MiniCPM-Llama3-V-2_5",
+        "mistral-7b": "mistralai/Mistral-7B-Instruct-v0.3",
+        "lzlv_70b": "lizpreciatior/lzlv_70b_fp16_hf",
+        "openchat-3.6-8b": "openchat/openchat-3.6-8b",
+        "phind-codellama-34b-v2": "Phind/Phind-CodeLlama-34B-v2",
+        "dolphin-2.9.1-llama-3-70b": "cognitivecomputations/dolphin-2.9.1-llama-3-70b",
+    }
+
+
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        if model in cls.models:
+            return model
+        elif model in cls.model_aliases:
+            return cls.model_aliases[model]
+        else:
+            return cls.default_model
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        image: ImageType = None,
+        image_name: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            'Accept-Language': 'en-US,en;q=0.9',
+            'Cache-Control': 'no-cache',
+            'Connection': 'keep-alive',
+            'Content-Type': 'application/json',
+            'Origin': 'https://deepinfra.com',
+            'Pragma': 'no-cache',
+            'Referer': 'https://deepinfra.com/',
+            'Sec-Fetch-Dest': 'empty',
+            'Sec-Fetch-Mode': 'cors',
+            'Sec-Fetch-Site': 'same-site',
+            'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36',
+            'X-Deepinfra-Source': 'web-embed',
+            'accept': 'text/event-stream',
+            'sec-ch-ua': '"Not;A=Brand";v="24", "Chromium";v="128"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"Linux"',
+        }
+        
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            data = {
+                'model': model,
+                'messages': [
+                    {'role': 'system', 'content': 'Be a helpful assistant'},
+                    {'role': 'user', 'content': prompt}
+                ],
+                'stream': True
+            }
+
+            if model == 'openbmb/MiniCPM-Llama3-V-2_5' and image is not None:
+                data['messages'][-1]['content'] = [
+                    {
+                        'type': 'image_url',
+                        'image_url': {
+                            'url': to_data_uri(image)
+                        }
+                    },
+                    {
+                        'type': 'text',
+                        'text': messages[-1]['content']
+                    }
+                ]
+
+            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for line in response.content:
+                    if line:
+                        decoded_line = line.decode('utf-8').strip()
+                        if decoded_line.startswith('data:'):
+                            json_part = decoded_line[5:].strip()
+                            if json_part == '[DONE]':
+                                break
+                            try:
+                                data = json.loads(json_part)
+                                choices = data.get('choices', [])
+                                if choices:
+                                    delta = choices[0].get('delta', {})
+                                    content = delta.get('content', '')
+                                    if content:
+                                        yield content
+                            except json.JSONDecodeError:
+                                print(f"JSON decode error: {json_part}")
diff --git a/g4f/Provider/DeepInfraImage.py b/g4f/Provider/DeepInfraImage.py
index 46a5c2e2..cee608ce 100644
--- a/g4f/Provider/DeepInfraImage.py
+++ b/g4f/Provider/DeepInfraImage.py
@@ -11,7 +11,8 @@ class DeepInfraImage(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://deepinfra.com"
     parent = "DeepInfra"
     working = True
-    default_model = 'stability-ai/sdxl'
+    needs_auth = True
+    default_model = ''
     image_models = [default_model]
 
     @classmethod
@@ -76,4 +77,4 @@ class DeepInfraImage(AsyncGeneratorProvider, ProviderModelMixin):
                 if not images:
                     raise RuntimeError(f"Response: {data}")
                 images = images[0] if len(images) == 1 else images
-                return ImageResponse(images, prompt)
\ No newline at end of file
+                return ImageResponse(images, prompt)
diff --git a/g4f/Provider/FlowGpt.py b/g4f/Provider/FlowGpt.py
index d823a7ab..d510eabe 100644
--- a/g4f/Provider/FlowGpt.py
+++ b/g4f/Provider/FlowGpt.py
@@ -12,7 +12,7 @@ from ..requests.raise_for_status import raise_for_status
 
 class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://flowgpt.com/chat"
-    working = True
+    working = False
     supports_gpt_35_turbo = True
     supports_message_history = True
     supports_system_message = True
diff --git a/g4f/Provider/GptTalkRu.py b/g4f/Provider/GptTalkRu.py
deleted file mode 100644
index 6a59484f..00000000
--- a/g4f/Provider/GptTalkRu.py
+++ /dev/null
@@ -1,59 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession, BaseConnector
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider
-from .helper import get_random_string, get_connector
-from ..requests import raise_for_status, get_args_from_browser, WebDriver
-from ..webdriver import has_seleniumwire
-from ..errors import MissingRequirementsError
-
-class GptTalkRu(AsyncGeneratorProvider):
-    url = "https://gpttalk.ru"
-    working = True
-    supports_gpt_35_turbo = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        connector: BaseConnector = None,
-        webdriver: WebDriver = None,
-        **kwargs
-    ) -> AsyncResult:
-        if not model:
-            model = "gpt-3.5-turbo"
-        if not has_seleniumwire:
-            raise MissingRequirementsError('Install "selenium-wire" package')
-        args = get_args_from_browser(f"{cls.url}", webdriver)
-        args["headers"]["accept"] = "application/json, text/plain, */*"
-        async with ClientSession(connector=get_connector(connector, proxy), **args) as session:
-            async with session.get("https://gpttalk.ru/getToken") as response:
-                await raise_for_status(response)
-                public_key = (await response.json())["response"]["key"]["publicKey"]
-            random_string = get_random_string(8)
-            data = {
-                "model": model,
-                "modelType": 1,
-                "prompt": messages,
-                "responseType": "stream",
-                "security": {
-                    "randomMessage": random_string,
-                    "shifrText": encrypt(public_key, random_string)
-                }
-            }
-            async with session.post(f"{cls.url}/gpt2", json=data, proxy=proxy) as response:
-                await raise_for_status(response)
-                async for chunk in response.content.iter_any():
-                   yield chunk.decode(errors="ignore")
-
-def encrypt(public_key: str, value: str) -> str:
-    from Crypto.Cipher import PKCS1_v1_5
-    from Crypto.PublicKey import RSA
-    import base64
-    rsa_key = RSA.importKey(public_key)
-    cipher = PKCS1_v1_5.new(rsa_key)
-    return base64.b64encode(cipher.encrypt(value.encode())).decode()
\ No newline at end of file
diff --git a/g4f/Provider/Liaobots.py b/g4f/Provider/Liaobots.py
index 8a9f46b1..598da5ea 100644
--- a/g4f/Provider/Liaobots.py
+++ b/g4f/Provider/Liaobots.py
@@ -36,6 +36,24 @@ models = {
         "tokenLimit": 7800,
         "context": "8K",
     },
+    "o1-preview": {
+        "id": "o1-preview",
+        "name": "o1-preview",
+        "model": "o1",
+        "provider": "OpenAI",
+        "maxLength": 400000,
+        "tokenLimit": 100000,
+        "context": "128K",
+    },
+    "o1-mini": {
+        "id": "o1-mini",
+        "name": "o1-mini",
+        "model": "o1",
+        "provider": "OpenAI",
+        "maxLength": 400000,
+        "tokenLimit": 100000,
+        "context": "128K",
+    },
     "gpt-4-turbo-2024-04-09": {
         "id": "gpt-4-turbo-2024-04-09",
         "name": "GPT-4-Turbo",
@@ -54,14 +72,23 @@ models = {
         "tokenLimit": 126000,
         "context": "128K",
     },
-    "gpt-4-0613": {
-        "id": "gpt-4-0613",
-        "name": "GPT-4-0613",
-        "model": "ChatGPT",
-        "provider": "OpenAI",
-        "maxLength": 32000,
-        "tokenLimit": 7600,
-        "context": "8K",
+    "grok-2": {
+        "id": "grok-2",
+        "name": "Grok-2",
+        "model": "Grok",
+        "provider": "x.ai",
+        "maxLength": 400000,
+        "tokenLimit": 100000,
+        "context": "100K",
+    },
+    "grok-2-mini": {
+        "id": "grok-2-mini",
+        "name": "Grok-2-mini",
+        "model": "Grok",
+        "provider": "x.ai",
+        "maxLength": 400000,
+        "tokenLimit": 100000,
+        "context": "100K",
     },
     "claude-3-opus-20240229": {
         "id": "claude-3-opus-20240229",
@@ -126,17 +153,8 @@ models = {
         "tokenLimit": 200000,
         "context": "200K",
     },
-    "gemini-1.0-pro-latest": {
-        "id": "gemini-1.0-pro-latest",
-        "name": "Gemini-Pro",
-        "model": "Gemini",
-        "provider": "Google",
-        "maxLength": 120000,
-        "tokenLimit": 30000,
-        "context": "32K",
-    },
-    "gemini-1.5-flash-latest": {
-        "id": "gemini-1.5-flash-latest",
+    "gemini-1.5-flash-exp-0827": {
+        "id": "gemini-1.5-flash-exp-0827",
         "name": "Gemini-1.5-Flash-1M",
         "model": "Gemini",
         "provider": "Google",
@@ -144,8 +162,8 @@ models = {
         "tokenLimit": 1000000,
         "context": "1024K",
     },
-    "gemini-1.5-pro-latest": {
-        "id": "gemini-1.5-pro-latest",
+    "gemini-1.5-pro-exp-0827": {
+        "id": "gemini-1.5-pro-exp-0827",
         "name": "Gemini-1.5-Pro-1M",
         "model": "Gemini",
         "provider": "Google",
@@ -162,12 +180,15 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
     supports_message_history = True
     supports_system_message = True
     supports_gpt_4 = True
-    default_model = "gpt-4o"
+    default_model = "gpt-3.5-turbo"
     models = list(models.keys())
     
     model_aliases = {
         "gpt-4o-mini": "gpt-4o-mini-free",
         "gpt-4o": "gpt-4o-free",
+        
+        "o1": "o1-preview",
+        
         "gpt-4-turbo": "gpt-4-turbo-2024-04-09",
         "gpt-4o": "gpt-4o-2024-08-06",
         "gpt-4": "gpt-4-0613",
@@ -176,13 +197,12 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
         "claude-3-opus": "claude-3-opus-20240229-aws",
         "claude-3-opus": "claude-3-opus-20240229-gcp",
         "claude-3-sonnet": "claude-3-sonnet-20240229",
-        "claude-3-5-sonnet": "claude-3-5-sonnet-20240620",
+        "claude-3.5-sonnet": "claude-3-5-sonnet-20240620",
         "claude-3-haiku": "claude-3-haiku-20240307",
         "claude-2.1": "claude-2.1",
         
-        "gemini-pro": "gemini-1.0-pro-latest",
-        "gemini-flash": "gemini-1.5-flash-latest",
-        "gemini-pro": "gemini-1.5-pro-latest",
+        "gemini-flash": "gemini-1.5-flash-exp-0827",
+        "gemini-pro": "gemini-1.5-pro-exp-0827",
     }
     
     _auth_code = ""
diff --git a/g4f/Provider/LiteIcoding.py b/g4f/Provider/LiteIcoding.py
index 69294a57..1b568e80 100644
--- a/g4f/Provider/LiteIcoding.py
+++ b/g4f/Provider/LiteIcoding.py
@@ -20,6 +20,25 @@ class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin):
         'claude-3.5',
         'gemini-1.5',
     ]
+    
+    model_aliases = {
+        "gpt-4o-mini": "gpt-4o",
+        "gemini-pro": "gemini-1.5",
+    }
+
+    bearer_tokens = [
+        "aa3020ee873e40cb8b3f515a0708ebc4",
+        "5d69cd271b144226ac1199b3c849a566",
+        "62977f48a95844f8853a953679401850",
+        "d815b091959e42dd8b7871dfaf879485"
+    ]
+    current_token_index = 0
+
+    @classmethod
+    def get_next_bearer_token(cls):
+        token = cls.bearer_tokens[cls.current_token_index]
+        cls.current_token_index = (cls.current_token_index + 1) % len(cls.bearer_tokens)
+        return token
 
     @classmethod
     async def create_async_generator(
@@ -29,10 +48,11 @@ class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin):
         proxy: str = None,
         **kwargs
     ) -> AsyncResult:
+        bearer_token = cls.get_next_bearer_token()
         headers = {
             "Accept": "*/*",
             "Accept-Language": "en-US,en;q=0.9",
-            "Authorization": "Bearer aa3020ee873e40cb8b3f515a0708ebc4",
+            "Authorization": f"Bearer {bearer_token}",
             "Connection": "keep-alive",
             "Content-Type": "application/json;charset=utf-8",
             "DNT": "1",
@@ -87,20 +107,17 @@ class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin):
                                     content = part[6:].strip()
                                     if content and content != "[DONE]":
                                         content = content.strip('"')
-                                        # Decoding each content block
                                         decoded_content = decode_content(content)
                                         full_response += decoded_content
                     full_response = (
-                    full_response.replace('""', '')  # Handle double quotes
-                                  .replace('" "', ' ')  # Handle space within quotes
+                    full_response.replace('""', '')
+                                  .replace('" "', ' ')
                                   .replace("\\n\\n", "\n\n")
                                   .replace("\\n", "\n")
                                   .replace('\\"', '"')
                                   .strip()
                     )
-                    # Add filter to remove unwanted text
                     filtered_response = re.sub(r'\n---\n.*', '', full_response, flags=re.DOTALL)
-                    # Remove extra quotes at the beginning and end
                     cleaned_response = filtered_response.strip().strip('"')
                     yield cleaned_response
 
diff --git a/g4f/Provider/MagickPen.py b/g4f/Provider/MagickPen.py
index eab70536..b6a47417 100644
--- a/g4f/Provider/MagickPen.py
+++ b/g4f/Provider/MagickPen.py
@@ -1,72 +1,57 @@
 from __future__ import annotations
 
+from aiohttp import ClientSession
+import hashlib
 import time
 import random
-import hashlib
 import re
-from aiohttp import ClientSession
-
+import json
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from .helper import format_prompt
 
 class MagickPen(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://magickpen.com"
-    api_endpoint_free = "https://api.magickpen.com/chat/free"
-    api_endpoint_ask = "https://api.magickpen.com/ask"
+    api_endpoint = "https://api.magickpen.com/ask"
     working = True
     supports_gpt_4 = True
-    supports_stream = False
-    
-    default_model = 'free'
-    models = ['free', 'ask']
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
     
-    model_aliases = {
-        "gpt-4o-mini": "free",
-        "gpt-4o-mini": "ask",
-    }
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
+    default_model = 'gpt-4o-mini'
+    models = ['gpt-4o-mini']
 
     @classmethod
-    async def get_secrets(cls):
-        url = 'https://magickpen.com/_nuxt/02c76dc.js'
+    async def fetch_api_credentials(cls) -> tuple:
+        url = "https://magickpen.com/_nuxt/9e47cd7579e60a9d1f13.js"
         async with ClientSession() as session:
             async with session.get(url) as response:
-                if response.status == 200:
-                    text = await response.text()
-                    x_api_secret_match = re.search(r'"X-API-Secret":"([^"]+)"', text)
-                    secret_match = re.search(r'secret:\s*"([^"]+)"', text)
-                    
-                    x_api_secret = x_api_secret_match.group(1) if x_api_secret_match else None
-                    secret = secret_match.group(1) if secret_match else None
-                    
-                    # Generate timestamp and nonce dynamically
-                    timestamp = str(int(time.time() * 1000))
-                    nonce = str(random.random())
-                    
-                    # Generate signature
-                    signature_parts = ["TGDBU9zCgM", timestamp, nonce]
-                    signature_string = "".join(sorted(signature_parts))
-                    signature = hashlib.md5(signature_string.encode()).hexdigest()
-                    
-                    return {
-                        'X-API-Secret': x_api_secret,
-                        'signature': signature,
-                        'timestamp': timestamp,
-                        'nonce': nonce,
-                        'secret': secret
-                    }
-                else:
-                    print(f"Error while fetching the file: {response.status}")
-                    return None
+                text = await response.text()
+
+        # Extract the necessary values from the file
+        pattern = r'"X-API-Secret":"(\w+)"'
+        match = re.search(pattern, text)
+        X_API_SECRET = match.group(1) if match else None
+
+        # Generate timestamp and nonce
+        timestamp = str(int(time.time() * 1000))  # in milliseconds
+        nonce = str(random.random())
+
+        # Generate the signature
+        s = ["TGDBU9zCgM", timestamp, nonce]
+        s.sort()
+        signature_string = ''.join(s)
+        signature = hashlib.md5(signature_string.encode()).hexdigest()
+
+        pattern = r'secret:"(\w+)"'
+        match = re.search(pattern, text)
+        secret = match.group(1) if match else None
+
+        if X_API_SECRET and timestamp and nonce and secret:
+            return X_API_SECRET, signature, timestamp, nonce, secret
+        else:
+            raise Exception("Unable to extract all the necessary data from the JavaScript file.")
 
     @classmethod
     async def create_async_generator(
@@ -77,54 +62,30 @@ class MagickPen(AsyncGeneratorProvider, ProviderModelMixin):
         **kwargs
     ) -> AsyncResult:
         model = cls.get_model(model)
+        X_API_SECRET, signature, timestamp, nonce, secret = await cls.fetch_api_credentials()
         
-        secrets = await cls.get_secrets()
-        if not secrets:
-            raise Exception("Failed to obtain necessary secrets")
-
         headers = {
-            "accept": "application/json, text/plain, */*",
-            "accept-language": "en-US,en;q=0.9",
-            "cache-control": "no-cache",
-            "content-type": "application/json",
-            "nonce": secrets['nonce'],
-            "origin": "https://magickpen.com",
-            "pragma": "no-cache",
-            "priority": "u=1, i",
-            "referer": "https://magickpen.com/",
-            "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
-            "sec-ch-ua-mobile": "?0",
-            "sec-ch-ua-platform": '"Linux"',
-            "sec-fetch-dest": "empty",
-            "sec-fetch-mode": "cors",
-            "sec-fetch-site": "same-site",
-            "secret": secrets['secret'],
-            "signature": secrets['signature'],
-            "timestamp": secrets['timestamp'],
-            "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
-            "x-api-secret": secrets['X-API-Secret']
+            'accept': 'application/json, text/plain, */*',
+            'accept-language': 'en-US,en;q=0.9',
+            'content-type': 'application/json',
+            'nonce': nonce,
+            'origin': cls.url,
+            'referer': f"{cls.url}/",
+            'secret': secret,
+            'signature': signature,
+            'timestamp': timestamp,
+            'x-api-secret': X_API_SECRET,
         }
         
         async with ClientSession(headers=headers) as session:
-            if model == 'free':
-                data = {
-                    "history": [{"role": "user", "content": format_prompt(messages)}]
-                }
-                async with session.post(cls.api_endpoint_free, json=data, proxy=proxy) as response:
-                    response.raise_for_status()
-                    result = await response.text()
-                    yield result
-            
-            elif model == 'ask':
-                data = {
-                    "query": format_prompt(messages),
-                    "plan": "Pay as you go"
-                }
-                async with session.post(cls.api_endpoint_ask, json=data, proxy=proxy) as response:
-                    response.raise_for_status()
-                    async for chunk in response.content:
-                        if chunk:
-                            yield chunk.decode()
-            
-            else:
-                raise ValueError(f"Unknown model: {model}")
+            prompt = format_prompt(messages)
+            payload = {
+                'query': prompt,
+                'turnstileResponse': '',
+                'action': 'verify'
+            }
+            async with session.post(cls.api_endpoint, json=payload, proxy=proxy) as response:
+                response.raise_for_status()
+                async for chunk in response.content:
+                    if chunk:
+                        yield chunk.decode()
diff --git a/g4f/Provider/Pi.py b/g4f/Provider/Pi.py
index e03830f4..266647ba 100644
--- a/g4f/Provider/Pi.py
+++ b/g4f/Provider/Pi.py
@@ -22,6 +22,7 @@ class Pi(AbstractProvider):
         proxy: str = None,
         timeout: int = 180,
         conversation_id: str = None,
+        webdriver: WebDriver = None,
         **kwargs
     ) -> CreateResult:
         if cls._session is None:
diff --git a/g4f/Provider/Snova.py b/g4f/Provider/Snova.py
deleted file mode 100644
index 53d8f0bd..00000000
--- a/g4f/Provider/Snova.py
+++ /dev/null
@@ -1,131 +0,0 @@
-from __future__ import annotations
-
-import json
-from typing import AsyncGenerator
-
-from aiohttp import ClientSession
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
-
-
-class Snova(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://fast.snova.ai"
-    api_endpoint = "https://fast.snova.ai/api/completion"
-    working = True
-    supports_stream = True
-    supports_system_message = True
-    supports_message_history = True
-    
-    default_model = 'Meta-Llama-3.1-8B-Instruct'
-    models = [
-        'Meta-Llama-3.1-8B-Instruct',
-        'Meta-Llama-3.1-70B-Instruct',
-        'Meta-Llama-3.1-405B-Instruct',
-        'Samba-CoE',
-        'ignos/Mistral-T5-7B-v1', # Error with the answer
-        'v1olet/v1olet_merged_dpo_7B',
-        'macadeliccc/WestLake-7B-v2-laser-truthy-dpo',
-    ]
-    
-    model_aliases = {
-        "llama-3.1-8b": "Meta-Llama-3.1-8B-Instruct",
-        "llama-3.1-70b": "Meta-Llama-3.1-70B-Instruct",
-        "llama-3.1-405b": "Meta-Llama-3.1-405B-Instruct",
-        
-        "mistral-7b": "ignos/Mistral-T5-7B-v1",
-        
-        "samba-coe-v0.1": "Samba-CoE",
-        "v1olet-merged-7b": "v1olet/v1olet_merged_dpo_7B",
-        "westlake-7b-v2": "macadeliccc/WestLake-7B-v2-laser-truthy-dpo",
-    }
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncGenerator[str, None]:
-        model = cls.get_model(model)
-        
-        headers = {
-            "accept": "text/event-stream",
-            "accept-language": "en-US,en;q=0.9",
-            "cache-control": "no-cache",
-            "content-type": "application/json",
-            "origin": cls.url,
-            "pragma": "no-cache",
-            "priority": "u=1, i",
-            "referer": f"{cls.url}/",
-            "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
-            "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/127.0.0.0 Safari/537.36"
-        }
-        async with ClientSession(headers=headers) as session:
-            data = {
-                "body": {
-                    "messages": [
-                        {
-                            "role": "system",
-                            "content": "You are a helpful assistant."
-                        },
-                        {
-                            "role": "user",
-                            "content": format_prompt(messages),
-                            "id": "1-id",
-                            "ref": "1-ref",
-                            "revision": 1,
-                            "draft": False,
-                            "status": "done",
-                            "enableRealTimeChat": False,
-                            "meta": None
-                        }
-                    ],
-                    "max_tokens": 1000,
-                    "stop": ["<|eot_id|>"],
-                    "stream": True,
-                    "stream_options": {"include_usage": True},
-                    "model": model
-                },
-                "env_type": "tp16"
-            }
-            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                full_response = ""
-                async for line in response.content:
-                    line = line.decode().strip()
-                    if line.startswith("data: "):
-                        data = line[6:]
-                        if data == "[DONE]":
-                            break
-                        try:
-                            json_data = json.loads(data)
-                            choices = json_data.get("choices", [])
-                            if choices:
-                                delta = choices[0].get("delta", {})
-                                content = delta.get("content", "")
-                                full_response += content
-                        except json.JSONDecodeError:
-                            continue
-                        except Exception as e:
-                            print(f"Error processing chunk: {e}")
-                            print(f"Problematic data: {data}")
-                            continue
-                
-                yield full_response.strip()
diff --git a/g4f/Provider/TwitterBio.py b/g4f/Provider/TwitterBio.py
deleted file mode 100644
index c143e4ff..00000000
--- a/g4f/Provider/TwitterBio.py
+++ /dev/null
@@ -1,103 +0,0 @@
-from __future__ import annotations
-
-import json
-import re
-from aiohttp import ClientSession
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
-
-class TwitterBio(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://www.twitterbio.io"
-    api_endpoint_mistral = "https://www.twitterbio.io/api/mistral"
-    api_endpoint_openai = "https://www.twitterbio.io/api/openai"
-    working = True
-    supports_gpt_35_turbo = True
-    
-    default_model = 'gpt-3.5-turbo'
-    models = [
-        'mistralai/Mixtral-8x7B-Instruct-v0.1',
-        'gpt-3.5-turbo',
-    ]
-    
-    model_aliases = {
-        "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",
-    }
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        return cls.default_model
-
-    @staticmethod
-    def format_text(text: str) -> str:
-        text = re.sub(r'\s+', ' ', text.strip())
-        text = re.sub(r'\s+([,.!?])', r'\1', text)
-        return text
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-        
-        headers = {
-            "accept": "*/*",
-            "accept-language": "en-US,en;q=0.9",
-            "cache-control": "no-cache",
-            "content-type": "application/json",
-            "origin": cls.url,
-            "pragma": "no-cache",
-            "priority": "u=1, i",
-            "referer": f"{cls.url}/",
-            "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
-            "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/127.0.0.0 Safari/537.36"
-        }
-        async with ClientSession(headers=headers) as session:
-            prompt = format_prompt(messages)
-            data = {
-                "prompt": f'{prompt}.'
-            }
-            
-            if model == 'mistralai/Mixtral-8x7B-Instruct-v0.1':
-                api_endpoint = cls.api_endpoint_mistral
-            elif model == 'gpt-3.5-turbo':
-                api_endpoint = cls.api_endpoint_openai
-            else:
-                raise ValueError(f"Unsupported model: {model}")
-            
-            async with session.post(api_endpoint, json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                buffer = ""
-                async for line in response.content:
-                    line = line.decode('utf-8').strip()
-                    if line.startswith('data: '):
-                        try:
-                            json_data = json.loads(line[6:])
-                            if model == 'mistralai/Mixtral-8x7B-Instruct-v0.1':
-                                if 'choices' in json_data and len(json_data['choices']) > 0:
-                                    text = json_data['choices'][0].get('text', '')
-                                    if text:
-                                        buffer += text
-                            elif model == 'gpt-3.5-turbo':
-                                text = json_data.get('text', '')
-                                if text:
-                                    buffer += text
-                        except json.JSONDecodeError:
-                            continue
-                    elif line == 'data: [DONE]':
-                        break
-                
-                if buffer:
-                    yield cls.format_text(buffer)
diff --git a/g4f/Provider/Upstage.py b/g4f/Provider/Upstage.py
index e61a5af2..85d3a63e 100644
--- a/g4f/Provider/Upstage.py
+++ b/g4f/Provider/Upstage.py
@@ -12,10 +12,11 @@ class Upstage(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://console.upstage.ai/playground/chat"
     api_endpoint = "https://ap-northeast-2.apistage.ai/v1/web/demo/chat/completions"
     working = True
-    default_model = 'upstage/solar-1-mini-chat'
+    default_model = 'solar-pro'
     models = [
         'upstage/solar-1-mini-chat',
         'upstage/solar-1-mini-chat-ja',
+        'solar-pro',
     ]
     model_aliases = {
         "solar-1-mini": "upstage/solar-1-mini-chat",
diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
deleted file mode 100644
index bd918396..00000000
--- a/g4f/Provider/Vercel.py
+++ /dev/null
@@ -1,104 +0,0 @@
-from __future__ import annotations
-
-import json, base64, requests, random, os
-
-try:
-    import execjs
-    has_requirements = True
-except ImportError:
-    has_requirements = False
-
-from ..typing       import Messages, CreateResult
-from .base_provider import AbstractProvider
-from ..requests     import raise_for_status
-from ..errors       import MissingRequirementsError
-
-class Vercel(AbstractProvider):
-    url = 'https://chat.vercel.ai'
-    working = True
-    supports_message_history = True
-    supports_system_message  = True
-    supports_gpt_35_turbo    = True
-    supports_stream          = True
-    
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        max_retries: int = 6,
-        **kwargs
-    ) -> CreateResult:
-        if not has_requirements:
-            raise MissingRequirementsError('Install "PyExecJS" package')
-        
-        headers = {
-            'authority': 'chat.vercel.ai',
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'cache-control': 'no-cache',
-            'content-type': 'application/json',
-            'custom-encoding': get_anti_bot_token(),
-            'origin': 'https://chat.vercel.ai',
-            'pragma': 'no-cache',
-            'referer': 'https://chat.vercel.ai/',
-            'sec-ch-ua': '"Chromium";v="122", "Not(A:Brand";v="24", "Google Chrome";v="122"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-origin',
-            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36',
-        }
-
-        json_data = {
-            'messages': messages,
-            'id'      : f'{os.urandom(3).hex()}a',
-        }
-        response = None
-        for _ in range(max_retries):
-            response = requests.post('https://chat.vercel.ai/api/chat', 
-                                    headers=headers, json=json_data, stream=True, proxies={"https": proxy})
-            if not response.ok:
-                continue
-            for token in response.iter_content(chunk_size=None):
-                try:
-                    yield token.decode(errors="ignore")
-                except UnicodeDecodeError:
-                    pass
-            break
-        raise_for_status(response)
-
-def get_anti_bot_token() -> str:
-    headers = {
-        'authority': 'sdk.vercel.ai',
-        'accept': '*/*',
-        'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-        'cache-control': 'no-cache',
-        'pragma': 'no-cache',
-        'referer': 'https://sdk.vercel.ai/',
-        'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-        'sec-ch-ua-mobile': '?0',
-        'sec-ch-ua-platform': '"macOS"',
-        'sec-fetch-dest': 'empty',
-        'sec-fetch-mode': 'cors',
-        'sec-fetch-site': 'same-origin',
-        'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
-    }
-
-    response = requests.get('https://chat.vercel.ai/openai.jpeg', 
-                            headers=headers).text
-
-    raw_data = json.loads(base64.b64decode(response, 
-                                    validate=True))
-
-    js_script = '''const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
-        return (%s)(%s)''' % (raw_data['c'], raw_data['a'])
-
-    sec_list = [execjs.compile(js_script).call('')[0], [], "sentinel"]
-
-    raw_token = json.dumps({'r': sec_list, 't': raw_data['t']}, 
-                        separators = (",", ":"))
-
-    return base64.b64encode(raw_token.encode('utf-8')).decode()
\ No newline at end of file
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index a13bcb1f..30148f27 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -5,7 +5,6 @@ from ..providers.retry_provider import RetryProvider, IterListProvider
 from ..providers.base_provider  import AsyncProvider, AsyncGeneratorProvider
 from ..providers.create_images  import CreateImagesProvider
 
-from .deprecated      import *
 from .selenium        import *
 from .needs_auth      import *
 
@@ -20,13 +19,14 @@ from .BingCreateImages import BingCreateImages
 from .Binjie           import Binjie
 from .Bixin123         import Bixin123
 from .Blackbox         import Blackbox
-from .ChatGot          import ChatGot
+from .ChatGpt          import ChatGpt
 from .Chatgpt4Online   import Chatgpt4Online
 from .Chatgpt4o        import Chatgpt4o
+from .ChatGptEs        import ChatGptEs
 from .ChatgptFree      import ChatgptFree
-from .CodeNews         import CodeNews
 from .DDG              import DDG
 from .DeepInfra        import DeepInfra
+from .DeepInfraChat    import DeepInfraChat
 from .DeepInfraImage   import DeepInfraImage
 from .FlowGpt          import FlowGpt
 from .Free2GPT         import Free2GPT
@@ -35,7 +35,6 @@ from .FreeGpt          import FreeGpt
 from .FreeNetfly       import FreeNetfly
 from .GeminiPro        import GeminiPro
 from .GigaChat         import GigaChat
-from .GptTalkRu        import GptTalkRu
 from .HuggingChat      import HuggingChat
 from .HuggingFace      import HuggingFace
 from .Koala            import Koala
@@ -44,7 +43,7 @@ from .LiteIcoding      import LiteIcoding
 from .Local            import Local
 from .MagickPen        import MagickPen
 from .MetaAI           import MetaAI
-from .MetaAIAccount    import MetaAIAccount
+#from .MetaAIAccount    import MetaAIAccount
 from .Nexra            import Nexra
 from .Ollama           import Ollama
 from .PerplexityLabs   import PerplexityLabs
@@ -52,17 +51,12 @@ from .Pi               import Pi
 from .Pizzagpt         import Pizzagpt
 from .Prodia           import Prodia
 from .Reka             import Reka
-from .Snova            import Snova
 from .Replicate        import Replicate
 from .ReplicateHome    import ReplicateHome
 from .TeachAnything    import TeachAnything
-from .TwitterBio       import TwitterBio
 from .Upstage          import Upstage
-from .Vercel           import Vercel
 from .WhiteRabbitNeo   import WhiteRabbitNeo
 from .You              import You
-from .ChatGpt          import ChatGpt
-from .ChatGptEs        import ChatGptEs
 
 import sys
 
diff --git a/g4f/Provider/deprecated/Acytoo.py b/g4f/Provider/deprecated/Acytoo.py
deleted file mode 100644
index f75821ce..00000000
--- a/g4f/Provider/deprecated/Acytoo.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-
-
-class Acytoo(AsyncGeneratorProvider):
-    url                      = 'https://chat.acytoo.com'
-    working                  = False
-    supports_message_history = True
-    supports_gpt_35_turbo    = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        async with ClientSession(
-            headers=_create_header()
-        ) as session:
-            async with session.post(
-                f'{cls.url}/api/completions',
-                proxy=proxy,
-                json=_create_payload(messages, **kwargs)
-            ) as response:
-                response.raise_for_status()
-                async for stream in response.content.iter_any():
-                    if stream:
-                        yield stream.decode()
-
-
-def _create_header():
-    return {
-        'accept': '*/*',
-        'content-type': 'application/json',
-    }
-
-
-def _create_payload(messages: Messages, temperature: float = 0.5, **kwargs):
-    return {
-        'key'         : '',
-        'model'       : 'gpt-3.5-turbo',
-        'messages'    : messages,
-        'temperature' : temperature,
-        'password'    : ''
-    }
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/AiAsk.py b/g4f/Provider/deprecated/AiAsk.py
deleted file mode 100644
index 6ea5f3e0..00000000
--- a/g4f/Provider/deprecated/AiAsk.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-
-class AiAsk(AsyncGeneratorProvider):
-    url = "https://e.aiask.me"
-    supports_message_history = True
-    supports_gpt_35_turbo = True
-    working = False
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "accept": "application/json, text/plain, */*",
-            "origin": cls.url,
-            "referer": f"{cls.url}/chat",
-        }
-        async with ClientSession(headers=headers) as session:
-            data = {
-                "continuous": True,
-                "id": "fRMSQtuHl91A4De9cCvKD",
-                "list": messages,
-                "models": "0",
-                "prompt": "",
-                "temperature": kwargs.get("temperature", 0.5),
-                "title": "",
-            }
-            buffer = ""
-            rate_limit = "您的免费额度不够使用这个模型啦，请点击右上角登录继续使用！"
-            async with session.post(f"{cls.url}/v1/chat/gpt/", json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                async for chunk in response.content.iter_any():
-                    buffer += chunk.decode()
-                    if not rate_limit.startswith(buffer):
-                        yield buffer
-                        buffer = ""
-                    elif buffer == rate_limit:
-                        raise RuntimeError("Rate limit reached")
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/AiService.py b/g4f/Provider/deprecated/AiService.py
deleted file mode 100644
index acd7f5ea..00000000
--- a/g4f/Provider/deprecated/AiService.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from __future__ import annotations
-
-import requests
-
-from ...typing import Any, CreateResult, Messages
-from ..base_provider import AbstractProvider
-
-
-class AiService(AbstractProvider):
-    url = "https://aiservice.vercel.app/"
-    working = False
-    supports_gpt_35_turbo = True
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: Messages,
-        stream: bool,
-        **kwargs: Any,
-    ) -> CreateResult:
-        base = (
-            "\n".join(
-                f"{message['role']}: {message['content']}" for message in messages
-            )
-            + "\nassistant: "
-        )
-        headers = {
-            "accept": "*/*",
-            "content-type": "text/plain;charset=UTF-8",
-            "sec-fetch-dest": "empty",
-            "sec-fetch-mode": "cors",
-            "sec-fetch-site": "same-origin",
-            "Referer": "https://aiservice.vercel.app/chat",
-        }
-        data = {"input": base}
-        url = "https://aiservice.vercel.app/api/chat/answer"
-        response = requests.post(url, headers=headers, json=data)
-        response.raise_for_status()
-        yield response.json()["data"]
diff --git a/g4f/Provider/deprecated/Aibn.py b/g4f/Provider/deprecated/Aibn.py
deleted file mode 100644
index 0bbfb436..00000000
--- a/g4f/Provider/deprecated/Aibn.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from __future__ import annotations
-
-import time
-import hashlib
-
-from ...typing import AsyncResult, Messages
-from ...requests import StreamSession
-from ..base_provider import AsyncGeneratorProvider
-
-
-class Aibn(AsyncGeneratorProvider):
-    url = "https://aibn.cc"
-    working = False
-    supports_message_history = True
-    supports_gpt_35_turbo = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 120,
-        **kwargs
-    ) -> AsyncResult:
-        async with StreamSession(
-            impersonate="chrome107",
-            proxies={"https": proxy},
-            timeout=timeout
-        ) as session:
-            timestamp = int(time.time())
-            data = {
-                "messages": messages,
-                "pass": None,
-                "sign": generate_signature(timestamp, messages[-1]["content"]),
-                "time": timestamp
-            }
-            async with session.post(f"{cls.url}/api/generate", json=data) as response:
-                response.raise_for_status()
-                async for chunk in response.iter_content():
-                    yield chunk.decode()
-    
-
-def generate_signature(timestamp: int, message: str, secret: str = "undefined"):
-    data = f"{timestamp}:{message}:{secret}"
-    return hashlib.sha256(data.encode()).hexdigest()
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Aichat.py b/g4f/Provider/deprecated/Aichat.py
deleted file mode 100644
index 68c9c546..00000000
--- a/g4f/Provider/deprecated/Aichat.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from __future__ import annotations
-
-from ...typing import Messages
-from ..base_provider import AsyncProvider, format_prompt
-from ..helper import get_cookies
-from ...requests import StreamSession
-
-class Aichat(AsyncProvider):
-    url = "https://chat-gpt.org/chat"
-    working = False
-    supports_gpt_35_turbo = True
-
-    @staticmethod
-    async def create_async(
-        model: str,
-        messages: Messages,
-        proxy: str = None, **kwargs) -> str:
-        
-        cookies = get_cookies('chat-gpt.org') if not kwargs.get('cookies') else kwargs.get('cookies')
-        if not cookies:
-            raise RuntimeError(
-                "g4f.provider.Aichat requires cookies, [refresh https://chat-gpt.org on chrome]"
-            )
-
-        headers = {
-            'authority': 'chat-gpt.org',
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'content-type': 'application/json',
-            'origin': 'https://chat-gpt.org',
-            'referer': 'https://chat-gpt.org/chat',
-            'sec-ch-ua': '"Chromium";v="118", "Google Chrome";v="118", "Not=A?Brand";v="99"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-origin',
-            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
-        }
-
-        async with StreamSession(headers=headers,
-                                    cookies=cookies,
-                                    timeout=6,
-                                    proxies={"https": proxy} if proxy else None,
-                                    impersonate="chrome110", verify=False) as session:
-
-            json_data = {
-                "message": format_prompt(messages),
-                "temperature": kwargs.get('temperature', 0.5),
-                "presence_penalty": 0,
-                "top_p": kwargs.get('top_p', 1),
-                "frequency_penalty": 0,
-            }
-
-            async with session.post("https://chat-gpt.org/api/text",
-                                    json=json_data) as response:
-
-                response.raise_for_status()
-                result = await response.json()
-
-                if not result['response']:
-                    raise Exception(f"Error Response: {result}")
-
-                return result["message"]
diff --git a/g4f/Provider/deprecated/Ails.py b/g4f/Provider/deprecated/Ails.py
deleted file mode 100644
index e87ceb32..00000000
--- a/g4f/Provider/deprecated/Ails.py
+++ /dev/null
@@ -1,90 +0,0 @@
-from __future__ import annotations
-
-import hashlib
-import time
-import uuid
-import json
-from datetime import datetime
-from aiohttp import ClientSession
-
-from ...typing import SHA256, AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-
-
-class Ails(AsyncGeneratorProvider):
-    url = "https://ai.ls"
-    working = False
-    supports_message_history = True
-    supports_gpt_35_turbo = True
-
-    @staticmethod
-    async def create_async_generator(
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "authority": "api.caipacity.com",
-            "accept": "*/*",
-            "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-            "authorization": "Bearer free",
-            "client-id": str(uuid.uuid4()),
-            "client-v": "0.1.278",
-            "content-type": "application/json",
-            "origin": "https://ai.ls",
-            "referer": "https://ai.ls/",
-            "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-            "sec-ch-ua-mobile": "?0",
-            "sec-ch-ua-platform": '"Windows"',
-            "sec-fetch-dest": "empty",
-            "sec-fetch-mode": "cors",
-            "sec-fetch-site": "cross-site",
-            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-            "from-url": "https://ai.ls/?chat=1"
-        }
-        async with ClientSession(
-                headers=headers
-            ) as session:
-            timestamp = _format_timestamp(int(time.time() * 1000))
-            json_data = {
-                "model": "gpt-3.5-turbo",
-                "temperature": kwargs.get("temperature", 0.6),
-                "stream": True,
-                "messages": messages,
-                "d": datetime.now().strftime("%Y-%m-%d"),
-                "t": timestamp,
-                "s": _hash({"t": timestamp, "m": messages[-1]["content"]}),
-            }
-            async with session.post(
-                        "https://api.caipacity.com/v1/chat/completions",
-                        proxy=proxy,
-                        json=json_data
-                    ) as response:
-                response.raise_for_status()
-                start = "data: "
-                async for line in response.content:
-                    line = line.decode('utf-8')
-                    if line.startswith(start) and line != "data: [DONE]":
-                        line = line[len(start):-1]
-                        line = json.loads(line)
-                        token = line["choices"][0]["delta"].get("content")
-                        
-                        if token:
-                            if "ai.ls" in token or "ai.ci" in token:
-                                raise Exception(f"Response Error: {token}")
-                            yield token
-
-
-def _hash(json_data: dict[str, str]) -> SHA256:
-    base_string: str = f'{json_data["t"]}:{json_data["m"]}:WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf:{len(json_data["m"])}'
-
-    return SHA256(hashlib.sha256(base_string.encode()).hexdigest())
-
-
-def _format_timestamp(timestamp: int) -> str:
-    e = timestamp
-    n = e % 10
-    r = n + 1 if n % 2 == 0 else n
-    return str(e - n + r)
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Aivvm.py b/g4f/Provider/deprecated/Aivvm.py
deleted file mode 100644
index c973adf8..00000000
--- a/g4f/Provider/deprecated/Aivvm.py
+++ /dev/null
@@ -1,73 +0,0 @@
-from __future__ import annotations
-
-import requests
-import json
-
-from ..base_provider import AbstractProvider
-from ...typing import CreateResult, Messages
-
-# to recreate this easily, send a post request to https://chat.aivvm.com/api/models
-models = {
-    'gpt-3.5-turbo': {'id': 'gpt-3.5-turbo', 'name': 'GPT-3.5'},
-    'gpt-3.5-turbo-0613': {'id': 'gpt-3.5-turbo-0613', 'name': 'GPT-3.5-0613'},
-    'gpt-3.5-turbo-16k': {'id': 'gpt-3.5-turbo-16k', 'name': 'GPT-3.5-16K'},
-    'gpt-3.5-turbo-16k-0613': {'id': 'gpt-3.5-turbo-16k-0613', 'name': 'GPT-3.5-16K-0613'},
-    'gpt-4': {'id': 'gpt-4', 'name': 'GPT-4'},
-    'gpt-4-0613': {'id': 'gpt-4-0613', 'name': 'GPT-4-0613'},
-    'gpt-4-32k': {'id': 'gpt-4-32k', 'name': 'GPT-4-32K'},
-    'gpt-4-32k-0613': {'id': 'gpt-4-32k-0613', 'name': 'GPT-4-32K-0613'},
-}
-
-class Aivvm(AbstractProvider):
-    url                   = 'https://chat.aivvm.com'
-    supports_stream       = True
-    working               = False
-    supports_gpt_35_turbo = True
-    supports_gpt_4        = True
-
-    @classmethod
-    def create_completion(cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        **kwargs
-    ) -> CreateResult:
-        if not model:
-            model = "gpt-3.5-turbo"
-        elif model not in models:
-            raise ValueError(f"Model is not supported: {model}")
-
-        json_data = {
-            "model"       : models[model],
-            "messages"    : messages,
-            "key"         : "",
-            "prompt"      : kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown."),
-            "temperature" : kwargs.get("temperature", 0.7)
-        }
-
-        data = json.dumps(json_data)
-
-        headers = {
-            "accept"            : "text/event-stream",
-            "accept-language"   : "en-US,en;q=0.9",
-            "content-type"      : "application/json",
-            "content-length"    : str(len(data)),
-            "sec-ch-ua"         : "\"Chrome\";v=\"117\", \"Not;A=Brand\";v=\"8\", \"Chromium\";v=\"117\"",
-            "sec-ch-ua-mobile"  : "?0",
-            "sec-ch-ua-platform": "\"Windows\"",
-            "sec-fetch-dest"    : "empty",
-            "sec-fetch-mode"    : "cors",
-            "sec-fetch-site"    : "same-origin",
-            "sec-gpc"           : "1",
-            "referrer"          : "https://chat.aivvm.com/",
-            "user-agent"        : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36"
-        }
-
-        response = requests.post("https://chat.aivvm.com/api/chat", headers=headers, data=data, stream=True)
-        response.raise_for_status()
-
-        for chunk in response.iter_content(chunk_size=4096):
-            try:
-                yield chunk.decode("utf-8")
-            except UnicodeDecodeError:
-                yield chunk.decode("unicode-escape")
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Berlin.py b/g4f/Provider/deprecated/Berlin.py
deleted file mode 100644
index 5e81705a..00000000
--- a/g4f/Provider/deprecated/Berlin.py
+++ /dev/null
@@ -1,78 +0,0 @@
-from __future__ import annotations
-
-import secrets
-import uuid
-import json
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import format_prompt
-
-
-class Berlin(AsyncGeneratorProvider):
-    url = "https://ai.berlin4h.top"
-    working = False
-    supports_gpt_35_turbo = True
-    _token = None
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        if not model:
-            model = "gpt-3.5-turbo"
-        headers = {
-            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
-            "Accept": "*/*",
-            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Referer": f"{cls.url}/",
-            "Content-Type": "application/json",
-            "Origin": cls.url,
-            "Alt-Used": "ai.berlin4h.top",
-            "Connection": "keep-alive",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-            "Pragma": "no-cache",
-            "Cache-Control": "no-cache",
-            "TE": "trailers",
-        }
-        async with ClientSession(headers=headers) as session:
-            if not cls._token:
-                data = {
-                    "account": '免费使用GPT3.5模型@163.com',
-                    "password": '659e945c2d004686bad1a75b708c962f'
-                }
-                async with session.post(f"{cls.url}/api/login", json=data, proxy=proxy) as response:
-                    response.raise_for_status()
-                    cls._token = (await response.json())["data"]["token"]
-            headers = {
-                "token": cls._token
-            }
-            prompt = format_prompt(messages)
-            data = {
-                "prompt": prompt,
-                "parentMessageId": str(uuid.uuid4()),
-                "options": {
-                    "model": model,
-                    "temperature": 0,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0,
-                    "max_tokens": 1888,
-                    **kwargs
-                },
-            }
-            async with session.post(f"{cls.url}/api/chat/completions", json=data, proxy=proxy, headers=headers) as response:
-                response.raise_for_status()
-                async for chunk in response.content:
-                    if chunk.strip():
-                        try:
-                            yield json.loads(chunk)["content"]
-                        except:
-                            raise RuntimeError(f"Response: {chunk.decode()}")
diff --git a/g4f/Provider/deprecated/ChatAnywhere.py b/g4f/Provider/deprecated/ChatAnywhere.py
deleted file mode 100644
index d035eaf0..00000000
--- a/g4f/Provider/deprecated/ChatAnywhere.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession, ClientTimeout
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-
-
-class ChatAnywhere(AsyncGeneratorProvider):
-    url = "https://chatanywhere.cn"
-    supports_gpt_35_turbo = True
-    supports_message_history = True
-    working = False
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 120,
-        temperature: float = 0.5,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
-            "Accept": "application/json, text/plain, */*",
-            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Content-Type": "application/json",
-            "Referer": f"{cls.url}/",
-            "Origin": cls.url,
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-            "Authorization": "",
-            "Connection": "keep-alive",
-            "TE": "trailers"
-        }
-        async with ClientSession(headers=headers, timeout=ClientTimeout(timeout)) as session:
-            data = {
-                "list": messages,
-                "id": "s1_qYuOLXjI3rEpc7WHfQ",
-                "title": messages[-1]["content"],
-                "prompt": "",
-                "temperature": temperature,
-                "models": "61490748",
-                "continuous": True
-            }
-            async with session.post(f"{cls.url}/v1/chat/gpt/", json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                async for chunk in response.content.iter_any():
-                    if chunk:
-                        yield chunk.decode()
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/ChatgptDuo.py b/g4f/Provider/deprecated/ChatgptDuo.py
deleted file mode 100644
index bd9e195d..00000000
--- a/g4f/Provider/deprecated/ChatgptDuo.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from __future__ import annotations
-
-from ...typing import Messages
-from ...requests import StreamSession
-from ..base_provider import AsyncProvider, format_prompt
-
-
-class ChatgptDuo(AsyncProvider):
-    url                   = "https://chatgptduo.com"
-    supports_gpt_35_turbo = True
-    working               = False
-
-    @classmethod
-    async def create_async(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 120,
-        **kwargs
-    ) -> str:
-        async with StreamSession(
-            impersonate="chrome107",
-            proxies={"https": proxy},
-            timeout=timeout
-        ) as session:
-            prompt = format_prompt(messages),
-            data = {
-                "prompt": prompt,
-                "search": prompt,
-                "purpose": "ask",
-            }
-            response = await session.post(f"{cls.url}/", data=data)
-            response.raise_for_status()
-            data = response.json()
-
-            cls._sources = [{
-                "title": source["title"],
-                "url": source["link"],
-                "snippet": source["snippet"]
-            } for source in data["results"]]
-
-            return data["answer"]
-
-    @classmethod
-    def get_sources(cls):
-        return cls._sources
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/CodeLinkAva.py b/g4f/Provider/deprecated/CodeLinkAva.py
deleted file mode 100644
index 22f4468a..00000000
--- a/g4f/Provider/deprecated/CodeLinkAva.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-import json
-
-from ...typing       import AsyncGenerator
-from ..base_provider import AsyncGeneratorProvider
-
-
-class CodeLinkAva(AsyncGeneratorProvider):
-    url                   = "https://ava-ai-ef611.web.app"
-    supports_gpt_35_turbo = True
-    working               = False
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        **kwargs
-    ) -> AsyncGenerator:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
-            "Accept": "*/*",
-            "Accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-            "Origin": cls.url,
-            "Referer": f"{cls.url}/",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-        }
-        async with ClientSession(
-                headers=headers
-            ) as session:
-            data = {
-                "messages": messages,
-                "temperature": 0.6,
-                "stream": True,
-                **kwargs
-            }
-            async with session.post("https://ava-alpha-api.codelink.io/api/chat", json=data) as response:
-                response.raise_for_status()
-                async for line in response.content:
-                    line = line.decode()
-                    if line.startswith("data: "):
-                        if line.startswith("data: [DONE]"):
-                            break
-                        line = json.loads(line[6:-1])
-
-                        content = line["choices"][0]["delta"].get("content")
-                        if content:
-                            yield content
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Cromicle.py b/g4f/Provider/deprecated/Cromicle.py
deleted file mode 100644
index 9f986cb5..00000000
--- a/g4f/Provider/deprecated/Cromicle.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-from hashlib import sha256
-from ...typing import AsyncResult, Messages, Dict
-
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import format_prompt
-
-
-class Cromicle(AsyncGeneratorProvider):
-    url: str = 'https://cromicle.top'
-    working: bool = False
-    supports_gpt_35_turbo: bool = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        async with ClientSession(
-            headers=_create_header()
-        ) as session:
-            async with session.post(
-                f'{cls.url}/chat',
-                proxy=proxy,
-                json=_create_payload(format_prompt(messages))
-            ) as response:
-                response.raise_for_status()
-                async for stream in response.content.iter_any():
-                    if stream:
-                        yield stream.decode()
-
-
-def _create_header() -> Dict[str, str]:
-    return {
-        'accept': '*/*',
-        'content-type': 'application/json',
-    }
-
-
-def _create_payload(message: str) -> Dict[str, str]:
-    return {
-        'message': message,
-        'token': 'abc',
-        'hash': sha256('abc'.encode() + message.encode()).hexdigest()
-    }
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/DfeHub.py b/g4f/Provider/deprecated/DfeHub.py
deleted file mode 100644
index e6d13444..00000000
--- a/g4f/Provider/deprecated/DfeHub.py
+++ /dev/null
@@ -1,62 +0,0 @@
-from __future__ import annotations
-
-import json
-import re
-import time
-
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class DfeHub(AbstractProvider):
-    url                   = "https://chat.dfehub.com/"
-    supports_stream       = True
-    supports_gpt_35_turbo = True
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-        
-        headers = {
-            "authority"         : "chat.dfehub.com",
-            "accept"            : "*/*",
-            "accept-language"   : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
-            "content-type"      : "application/json",
-            "origin"            : "https://chat.dfehub.com",
-            "referer"           : "https://chat.dfehub.com/",
-            "sec-ch-ua"         : '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-            "sec-ch-ua-mobile"  : "?0",
-            "sec-ch-ua-platform": '"macOS"',
-            "sec-fetch-dest"    : "empty",
-            "sec-fetch-mode"    : "cors",
-            "sec-fetch-site"    : "same-origin",
-            "user-agent"        : "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
-            "x-requested-with"  : "XMLHttpRequest",
-        }
-
-        json_data = {
-            "messages"          : messages,
-            "model"             : "gpt-3.5-turbo",
-            "temperature"       : kwargs.get("temperature", 0.5),
-            "presence_penalty"  : kwargs.get("presence_penalty", 0),
-            "frequency_penalty" : kwargs.get("frequency_penalty", 0),
-            "top_p"             : kwargs.get("top_p", 1),
-            "stream"            : True
-        }
-        
-        response = requests.post("https://chat.dfehub.com/api/openai/v1/chat/completions",
-            headers=headers, json=json_data, timeout=3)
-
-        for chunk in response.iter_lines():
-            if b"detail" in chunk:
-                delay = re.findall(r"\d+\.\d+", chunk.decode())
-                delay = float(delay[-1])
-                time.sleep(delay)
-                yield from DfeHub.create_completion(model, messages, stream, **kwargs)
-            if b"content" in chunk:
-                data = json.loads(chunk.decode().split("data: ")[1])
-                yield (data["choices"][0]["delta"]["content"])
diff --git a/g4f/Provider/deprecated/EasyChat.py b/g4f/Provider/deprecated/EasyChat.py
deleted file mode 100644
index 7a00f523..00000000
--- a/g4f/Provider/deprecated/EasyChat.py
+++ /dev/null
@@ -1,89 +0,0 @@
-from __future__ import annotations
-
-import json
-import random
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class EasyChat(AbstractProvider):
-    url: str              = "https://free.easychat.work"
-    supports_stream       = True
-    supports_gpt_35_turbo = True
-    working               = False
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-        
-        active_servers = [
-            "https://chat10.fastgpt.me",
-            "https://chat9.fastgpt.me",
-            "https://chat1.fastgpt.me",
-            "https://chat2.fastgpt.me",
-            "https://chat3.fastgpt.me",
-            "https://chat4.fastgpt.me",
-            "https://gxos1h1ddt.fastgpt.me"
-        ]
-
-        server  = active_servers[kwargs.get("active_server", random.randint(0, 5))]
-        headers = {
-            "authority"         : f"{server}".replace("https://", ""),
-            "accept"            : "text/event-stream",
-            "accept-language"   : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3,fa=0.2",
-            "content-type"      : "application/json",
-            "origin"            : f"{server}",
-            "referer"           : f"{server}/",
-            "x-requested-with"  : "XMLHttpRequest",
-            'plugins'           : '0',
-            'sec-ch-ua'         : '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
-            'sec-ch-ua-mobile'  : '?0',
-            '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/116.0.0.0 Safari/537.36',
-            'usesearch'         : 'false',
-            'x-requested-with'  : 'XMLHttpRequest'
-        }
-
-        json_data = {
-            "messages"          : messages,
-            "stream"            : stream,
-            "model"             : model,
-            "temperature"       : kwargs.get("temperature", 0.5),
-            "presence_penalty"  : kwargs.get("presence_penalty", 0),
-            "frequency_penalty" : kwargs.get("frequency_penalty", 0),
-            "top_p"             : kwargs.get("top_p", 1)
-        }
-
-        session = requests.Session()
-        # init cookies from server
-        session.get(f"{server}/")
-
-        response = session.post(f"{server}/api/openai/v1/chat/completions",
-            headers=headers, json=json_data, stream=stream)
-
-        if response.status_code != 200:
-            raise Exception(f"Error {response.status_code} from server : {response.reason}")
-        if not stream:
-            json_data = response.json()
-
-            if "choices" in json_data:
-                yield json_data["choices"][0]["message"]["content"]
-            else:
-                raise Exception("No response from server")
-
-        else:
-                
-            for chunk in response.iter_lines():
-                    
-                if b"content" in chunk:
-                    splitData = chunk.decode().split("data:")
-
-                    if len(splitData) > 1:
-                        yield json.loads(splitData[1])["choices"][0]["delta"]["content"]
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Equing.py b/g4f/Provider/deprecated/Equing.py
deleted file mode 100644
index 5fd9797b..00000000
--- a/g4f/Provider/deprecated/Equing.py
+++ /dev/null
@@ -1,71 +0,0 @@
-from __future__ import annotations
-
-import json
-from abc import ABC, abstractmethod
-
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class Equing(AbstractProvider):
-    url: str              = 'https://next.eqing.tech/'
-    working               = False
-    supports_stream       = True
-    supports_gpt_35_turbo = True
-    supports_gpt_4        = False
-
-    @staticmethod
-    @abstractmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-
-        headers = {
-            'authority'         : 'next.eqing.tech',
-            'accept'            : 'text/event-stream',
-            'accept-language'   : 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'cache-control'     : 'no-cache',
-            'content-type'      : 'application/json',
-            'origin'            : 'https://next.eqing.tech',
-            'plugins'           : '0',
-            'pragma'            : 'no-cache',
-            'referer'           : 'https://next.eqing.tech/',
-            'sec-ch-ua'         : '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
-            'sec-ch-ua-mobile'  : '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest'    : 'empty',
-            'sec-fetch-mode'    : 'cors',
-            'sec-fetch-site'    : 'same-origin',
-            'user-agent'        : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
-            'usesearch'         : 'false',
-            'x-requested-with'  : 'XMLHttpRequest'
-        }
-
-        json_data = {
-            'messages'          : messages,
-            'stream'            : stream,
-            'model'             : model,
-            'temperature'       : kwargs.get('temperature', 0.5),
-            'presence_penalty'  : kwargs.get('presence_penalty', 0),
-            'frequency_penalty' : kwargs.get('frequency_penalty', 0),
-            'top_p'             : kwargs.get('top_p', 1),
-        }
-
-        response = requests.post('https://next.eqing.tech/api/openai/v1/chat/completions',
-            headers=headers, json=json_data, stream=stream)
-
-        if not stream:
-            yield response.json()["choices"][0]["message"]["content"]
-            return
-
-        for line in response.iter_content(chunk_size=1024):
-            if line:
-                if b'content' in line:
-                    line_json = json.loads(line.decode('utf-8').split('data: ')[1])
-
-                    token = line_json['choices'][0]['delta'].get('content')
-                    if token:
-                        yield token
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/FakeGpt.py b/g4f/Provider/deprecated/FakeGpt.py
deleted file mode 100644
index 99b6bb1a..00000000
--- a/g4f/Provider/deprecated/FakeGpt.py
+++ /dev/null
@@ -1,91 +0,0 @@
-from __future__ import annotations
-
-import uuid, time, random, json
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import format_prompt, get_random_string
-
-
-class FakeGpt(AsyncGeneratorProvider):
-    url                   = "https://chat-shared2.zhile.io"
-    supports_gpt_35_turbo = True
-    working               = False
-    _access_token         = None
-    _cookie_jar           = None
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "Accept-Language": "en-US",
-            "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36",
-            "Referer": "https://chat-shared2.zhile.io/?v=2",
-            "sec-ch-ua": '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-            "sec-ch-ua-platform": '"Linux"',
-            "sec-ch-ua-mobile": "?0",
-        }
-        async with ClientSession(headers=headers, cookie_jar=cls._cookie_jar) as session:
-            if not cls._access_token:
-                async with session.get(f"{cls.url}/api/loads", params={"t": int(time.time())}, proxy=proxy) as response:
-                    response.raise_for_status()
-                    list = (await response.json())["loads"]
-                    token_ids = [t["token_id"] for t in list]
-                data = {
-                    "token_key": random.choice(token_ids),
-                    "session_password": get_random_string()
-                }
-                async with session.post(f"{cls.url}/auth/login", data=data, proxy=proxy) as response:
-                    response.raise_for_status()
-                async with session.get(f"{cls.url}/api/auth/session", proxy=proxy) as response:
-                    response.raise_for_status()
-                    cls._access_token = (await response.json())["accessToken"]
-                    cls._cookie_jar = session.cookie_jar
-            headers = {
-                "Content-Type": "application/json",
-                "Accept": "text/event-stream",
-                "X-Authorization": f"Bearer {cls._access_token}",
-            }
-            prompt = format_prompt(messages)
-            data = {
-                "action": "next",
-                "messages": [
-                    {
-                        "id": str(uuid.uuid4()),
-                        "author": {"role": "user"},
-                        "content": {"content_type": "text", "parts": [prompt]},
-                        "metadata": {},
-                    }
-                ],
-                "parent_message_id": str(uuid.uuid4()),
-                "model": "text-davinci-002-render-sha",
-                "plugin_ids": [],
-                "timezone_offset_min": -120,
-                "suggestions": [],
-                "history_and_training_disabled": True,
-                "arkose_token": "",
-                "force_paragen": False,
-            }
-            last_message = ""
-            async with session.post(f"{cls.url}/api/conversation", json=data, headers=headers, proxy=proxy) as response:
-                async for line in response.content:
-                    if line.startswith(b"data: "):
-                        line = line[6:]
-                        if line == b"[DONE]":
-                            break
-                        try:
-                            line = json.loads(line)
-                            if line["message"]["metadata"]["message_type"] == "next":
-                                new_message = line["message"]["content"]["parts"][0]
-                                yield new_message[len(last_message):]
-                                last_message = new_message
-                        except:
-                            continue
-            if not last_message:
-                raise RuntimeError("No valid response")
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/FastGpt.py b/g4f/Provider/deprecated/FastGpt.py
deleted file mode 100644
index 6a79d9aa..00000000
--- a/g4f/Provider/deprecated/FastGpt.py
+++ /dev/null
@@ -1,76 +0,0 @@
-from __future__ import annotations
-
-import json
-import random
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class FastGpt(AbstractProvider):
-    url: str                = 'https://chat9.fastgpt.me/'
-    working                 = False
-    needs_auth              = False
-    supports_stream         = True
-    supports_gpt_35_turbo   = True
-    supports_gpt_4          = False
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-
-        headers = {
-            'authority'         : 'chat9.fastgpt.me',
-            'accept'            : 'text/event-stream',
-            'accept-language'   : 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'cache-control'     : 'no-cache',
-            'content-type'      : 'application/json',
-            'origin'            : 'https://chat9.fastgpt.me',
-            'plugins'           : '0',
-            'pragma'            : 'no-cache',
-            'referer'           : 'https://chat9.fastgpt.me/',
-            'sec-ch-ua'         : '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
-            'sec-ch-ua-mobile'  : '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest'    : 'empty',
-            'sec-fetch-mode'    : 'cors',
-            'sec-fetch-site'    : 'same-origin',
-            'user-agent'        : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
-            'usesearch'         : 'false',
-            'x-requested-with'  : 'XMLHttpRequest',
-        }
-
-        json_data = {
-            'messages'          : messages,
-            'stream'            : stream,
-            'model'             : model,
-            'temperature'       : kwargs.get('temperature', 0.5),
-            'presence_penalty'  : kwargs.get('presence_penalty', 0),
-            'frequency_penalty' : kwargs.get('frequency_penalty', 0),
-            'top_p'             : kwargs.get('top_p', 1),
-        }
-
-        subdomain = random.choice([
-            'jdaen979ew',
-            'chat9'
-        ])
-
-        response = requests.post(f'https://{subdomain}.fastgpt.me/api/openai/v1/chat/completions',
-                                 headers=headers, json=json_data, stream=stream)
-
-        for line in response.iter_lines():
-            if line:
-                try:
-                    if b'content' in line:
-                        line_json = json.loads(line.decode('utf-8').split('data: ')[1])
-                        token = line_json['choices'][0]['delta'].get(
-                            'content'
-                        )
-                        
-                        if token:
-                            yield token
-                except:
-                    continue
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Forefront.py b/g4f/Provider/deprecated/Forefront.py
deleted file mode 100644
index 39654b2c..00000000
--- a/g4f/Provider/deprecated/Forefront.py
+++ /dev/null
@@ -1,40 +0,0 @@
-from __future__ import annotations
-
-import json
-
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class Forefront(AbstractProvider):
-    url                   = "https://forefront.com"
-    supports_stream       = True
-    supports_gpt_35_turbo = True
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-        
-        json_data = {
-            "text"          : messages[-1]["content"],
-            "action"        : "noauth",
-            "id"            : "",
-            "parentId"      : "",
-            "workspaceId"   : "",
-            "messagePersona": "607e41fe-95be-497e-8e97-010a59b2e2c0",
-            "model"         : "gpt-4",
-            "messages"      : messages[:-1] if len(messages) > 1 else [],
-            "internetMode"  : "auto",
-        }
-
-        response = requests.post("https://streaming.tenant-forefront-default.knative.chi.coreweave.com/free-chat",
-            json=json_data, stream=True)
-        
-        response.raise_for_status()
-        for token in response.iter_lines():
-            if b"delta" in token:
-                yield json.loads(token.decode().split("data: ")[1])["delta"]
diff --git a/g4f/Provider/deprecated/GPTalk.py b/g4f/Provider/deprecated/GPTalk.py
deleted file mode 100644
index 5b36d37b..00000000
--- a/g4f/Provider/deprecated/GPTalk.py
+++ /dev/null
@@ -1,87 +0,0 @@
-from __future__ import annotations
-
-import secrets, time, json
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import format_prompt
-
-
-class GPTalk(AsyncGeneratorProvider):
-    url = "https://gptalk.net"
-    working = False
-    supports_gpt_35_turbo = True
-    _auth = None
-    used_times = 0
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        if not model:
-            model = "gpt-3.5-turbo"
-        timestamp = int(time.time())
-        headers = {
-            'authority': 'gptalk.net',
-            'accept': '*/*',
-            'accept-language': 'de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US;q=0.6,nl;q=0.5,zh-CN;q=0.4,zh-TW;q=0.3,zh;q=0.2',
-            'content-type': 'application/json',
-            'origin': 'https://gptalk.net',
-            'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-            '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/117.0.0.0 Safari/537.36',
-            'x-auth-appid': '2229',
-            'x-auth-openid': '',
-            'x-auth-platform': '',
-            'x-auth-timestamp': f"{timestamp}",
-        }
-        async with ClientSession(headers=headers) as session:
-            if not cls._auth or cls._auth["expires_at"] < timestamp or cls.used_times == 5:
-                data = {
-                    "fingerprint": secrets.token_hex(16).zfill(32),
-                    "platform": "fingerprint"
-                }
-                async with session.post(f"{cls.url}/api/chatgpt/user/login", json=data, proxy=proxy) as response:
-                    response.raise_for_status()
-                    cls._auth = (await response.json())["data"]
-                cls.used_times = 0
-            data = {
-                "content": format_prompt(messages),
-                "accept": "stream",
-                "from": 1,
-                "model": model,
-                "is_mobile": 0,
-                "user_agent": headers["user-agent"],
-                "is_open_ctx": 0,
-                "prompt": "",
-                "roid": 111,
-                "temperature": 0,
-                "ctx_msg_count": 3,
-                "created_at": timestamp
-            }
-            headers = {
-                'authorization': f'Bearer {cls._auth["token"]}',
-            }
-            async with session.post(f"{cls.url}/api/chatgpt/chatapi/text", json=data, headers=headers, proxy=proxy) as response:
-                response.raise_for_status()
-                token = (await response.json())["data"]["token"]
-                cls.used_times += 1
-            last_message = ""
-            async with session.get(f"{cls.url}/api/chatgpt/chatapi/stream", params={"token": token}, proxy=proxy) as response:
-                response.raise_for_status()
-                async for line in response.content:
-                    if line.startswith(b"data: "):
-                        if line.startswith(b"data: [DONE]"):
-                            break
-                        message = json.loads(line[6:-1])["content"]
-                        yield message[len(last_message):]
-                        last_message = message
diff --git a/g4f/Provider/deprecated/GeekGpt.py b/g4f/Provider/deprecated/GeekGpt.py
deleted file mode 100644
index 7a460083..00000000
--- a/g4f/Provider/deprecated/GeekGpt.py
+++ /dev/null
@@ -1,73 +0,0 @@
-from __future__ import annotations
-import requests, json
-
-from ..base_provider import AbstractProvider
-from ...typing       import CreateResult, Messages
-from json           import dumps
-
-
-class GeekGpt(AbstractProvider):
-    url = 'https://chat.geekgpt.org'
-    working = False
-    supports_message_history = True
-    supports_stream = True
-    supports_gpt_35_turbo = True
-    supports_gpt_4 = True
-
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        **kwargs
-    ) -> CreateResult:
-        if not model:
-            model = "gpt-3.5-turbo"
-        json_data = {
-            'messages': messages,
-            'model': model,
-            'temperature': kwargs.get('temperature', 0.9),
-            'presence_penalty': kwargs.get('presence_penalty', 0),
-            'top_p': kwargs.get('top_p', 1),
-            'frequency_penalty': kwargs.get('frequency_penalty', 0),
-            'stream': True
-        }
-
-        data = dumps(json_data, separators=(',', ':'))
-
-        headers = {
-            'authority': 'ai.fakeopen.com',
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'authorization': 'Bearer pk-this-is-a-real-free-pool-token-for-everyone',
-            'content-type': 'application/json',
-            'origin': 'https://chat.geekgpt.org',
-            'referer': 'https://chat.geekgpt.org/',
-            'sec-ch-ua': '"Chromium";v="118", "Google Chrome";v="118", "Not=A?Brand";v="99"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'cross-site',
-            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
-        }
-
-        response = requests.post("https://ai.fakeopen.com/v1/chat/completions", 
-                                 headers=headers, data=data, stream=True)
-        response.raise_for_status()
-
-        for chunk in response.iter_lines():
-            if b'content' in chunk:
-                json_data = chunk.decode().replace("data: ", "")
-
-                if json_data == "[DONE]":
-                    break
-                
-                try:
-                    content = json.loads(json_data)["choices"][0]["delta"].get("content")
-                except Exception as e:
-                    raise RuntimeError(f'error | {e} :', json_data)
-                
-                if content:
-                    yield content
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/GetGpt.py b/g4f/Provider/deprecated/GetGpt.py
deleted file mode 100644
index dd586569..00000000
--- a/g4f/Provider/deprecated/GetGpt.py
+++ /dev/null
@@ -1,77 +0,0 @@
-from __future__ import annotations
-
-import json
-import os
-import uuid
-
-import requests
-# try:
-#     from Crypto.Cipher import AES
-# except ImportError:
-#     from Cryptodome.Cipher import AES
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class GetGpt(AbstractProvider):
-    url                   = 'https://chat.getgpt.world/'
-    supports_stream       = True
-    working               = False
-    supports_gpt_35_turbo = True
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-        
-        headers = {
-            'Content-Type'  : 'application/json',
-            'Referer'       : 'https://chat.getgpt.world/',
-            'user-agent'    : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36',
-        }
-        
-        data = json.dumps(
-            {
-                'messages'          : messages,
-                'frequency_penalty' : kwargs.get('frequency_penalty', 0),
-                'max_tokens'        : kwargs.get('max_tokens', 4000),
-                'model'             : 'gpt-3.5-turbo',
-                'presence_penalty'  : kwargs.get('presence_penalty', 0),
-                'temperature'       : kwargs.get('temperature', 1),
-                'top_p'             : kwargs.get('top_p', 1),
-                'stream'            : True,
-                'uuid'              : str(uuid.uuid4())
-            }
-        )
-
-        res = requests.post('https://chat.getgpt.world/api/chat/stream',
-            headers=headers, json={'signature': _encrypt(data)}, stream=True)
-
-        res.raise_for_status()
-        for line in res.iter_lines():
-            if b'content' in line:
-                line_json = json.loads(line.decode('utf-8').split('data: ')[1])
-                yield (line_json['choices'][0]['delta']['content'])
-
-
-def _encrypt(e: str):
-    # t = os.urandom(8).hex().encode('utf-8')
-    # n = os.urandom(8).hex().encode('utf-8')
-    # r = e.encode('utf-8')
-    
-    # cipher     = AES.new(t, AES.MODE_CBC, n)
-    # ciphertext = cipher.encrypt(_pad_data(r))
-    
-    # return ciphertext.hex() + t.decode('utf-8') + n.decode('utf-8')
-    return
-
-
-def _pad_data(data: bytes) -> bytes:
-    # block_size   = AES.block_size
-    # padding_size = block_size - len(data) % block_size
-    # padding      = bytes([padding_size] * padding_size)
-    
-    # return data + padding
-    return
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/H2o.py b/g4f/Provider/deprecated/H2o.py
deleted file mode 100644
index ba4ca507..00000000
--- a/g4f/Provider/deprecated/H2o.py
+++ /dev/null
@@ -1,89 +0,0 @@
-from __future__ import annotations
-
-import json
-import uuid
-
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, format_prompt
-
-
-class H2o(AsyncGeneratorProvider):
-    url = "https://gpt-gm.h2o.ai"
-    model = "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1"
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        model = model if model else cls.model
-        headers = {"Referer": f"{cls.url}/"}
-
-        async with ClientSession(
-            headers=headers
-        ) as session:
-            data = {
-                "ethicsModalAccepted": "true",
-                "shareConversationsWithModelAuthors": "true",
-                "ethicsModalAcceptedAt": "",
-                "activeModel": model,
-                "searchEnabled": "true",
-            }
-            async with session.post(
-                f"{cls.url}/settings",
-                proxy=proxy,
-                data=data
-            ) as response:
-                response.raise_for_status()
-
-            async with session.post(
-                f"{cls.url}/conversation",
-                proxy=proxy,
-                json={"model": model},
-            ) as response:
-                response.raise_for_status()
-                conversationId = (await response.json())["conversationId"]
-
-            data = {
-                "inputs": format_prompt(messages),
-                "parameters": {
-                    "temperature": 0.4,
-                    "truncate": 2048,
-                    "max_new_tokens": 1024,
-                    "do_sample":  True,
-                    "repetition_penalty": 1.2,
-                    "return_full_text": False,
-                    **kwargs
-                },
-                "stream": True,
-                "options": {
-                    "id": str(uuid.uuid4()),
-                    "response_id": str(uuid.uuid4()),
-                    "is_retry": False,
-                    "use_cache": False,
-                    "web_search_id": "",
-                },
-            }
-            async with session.post(
-                f"{cls.url}/conversation/{conversationId}",
-                proxy=proxy,
-                json=data
-             ) as response:
-                start = "data:"
-                async for line in response.content:
-                    line = line.decode("utf-8")
-                    if line and line.startswith(start):
-                        line = json.loads(line[len(start):-1])
-                        if not line["token"]["special"]:
-                            yield line["token"]["text"]
-
-            async with session.delete(
-                f"{cls.url}/conversation/{conversationId}",
-                proxy=proxy,
-            ) as response:
-                response.raise_for_status()
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Hashnode.py b/g4f/Provider/deprecated/Hashnode.py
deleted file mode 100644
index c2c0ffb7..00000000
--- a/g4f/Provider/deprecated/Hashnode.py
+++ /dev/null
@@ -1,80 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import get_random_hex
-
-class SearchTypes():
-    quick = "quick"
-    code = "code"
-    websearch = "websearch"
-
-class Hashnode(AsyncGeneratorProvider):
-    url = "https://hashnode.com"
-    working = False
-    supports_message_history = True
-    supports_gpt_35_turbo = True
-    _sources = []
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        search_type: str = SearchTypes.websearch,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
-            "Accept": "*/*",
-            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Referer": f"{cls.url}/rix",
-            "Content-Type": "application/json",
-            "Origin": cls.url,
-            "Connection": "keep-alive",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-            "Pragma": "no-cache",
-            "Cache-Control": "no-cache",
-            "TE": "trailers",
-        }
-        async with ClientSession(headers=headers) as session:
-            prompt = messages[-1]["content"]
-            cls._sources = []
-            if search_type == "websearch":
-                async with session.post(
-                    f"{cls.url}/api/ai/rix/search",
-                    json={"prompt": prompt},
-                    proxy=proxy,
-                ) as response:
-                    response.raise_for_status()
-                    cls._sources = (await response.json())["result"]
-            data = {
-                "chatId": get_random_hex(),
-                "history": messages,
-                "prompt": prompt,
-                "searchType": search_type,
-                "urlToScan": None,
-                "searchResults": cls._sources,
-            }
-            async with session.post(
-                f"{cls.url}/api/ai/rix/completion",
-                json=data,
-                proxy=proxy,
-            ) as response:
-                response.raise_for_status()
-                async for chunk in response.content.iter_any():
-                    if chunk:
-                        yield chunk.decode()
-
-    @classmethod
-    def get_sources(cls) -> list:
-        return [{
-            "title": source["name"],
-            "url": source["url"]
-        } for source in cls._sources]
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Lockchat.py b/g4f/Provider/deprecated/Lockchat.py
deleted file mode 100644
index edab0bd4..00000000
--- a/g4f/Provider/deprecated/Lockchat.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from __future__ import annotations
-
-import json
-
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class Lockchat(AbstractProvider):
-    url: str              = "http://supertest.lockchat.app"
-    supports_stream       = True
-    supports_gpt_35_turbo = True
-    supports_gpt_4        = True
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-
-        temperature = float(kwargs.get("temperature", 0.7))
-        payload = {
-            "temperature": temperature,
-            "messages"   : messages,
-            "model"      : model,
-            "stream"     : True,
-        }
-
-        headers = {
-            "user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
-        }
-        response = requests.post("http://supertest.lockchat.app/v1/chat/completions",
-                                 json=payload, headers=headers, stream=True)
-
-        response.raise_for_status()
-        for token in response.iter_lines():
-            if b"The model: `gpt-4` does not exist" in token:
-                print("error, retrying...")
-                
-                Lockchat.create_completion(
-                    model       = model,
-                    messages    = messages,
-                    stream      = stream,
-                    temperature = temperature,
-                    **kwargs)
-
-            if b"content" in token:
-                token = json.loads(token.decode("utf-8").split("data: ")[1])
-                token = token["choices"][0]["delta"].get("content")
-
-                if token:
-                    yield (token)
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Myshell.py b/g4f/Provider/deprecated/Myshell.py
deleted file mode 100644
index 2487440d..00000000
--- a/g4f/Provider/deprecated/Myshell.py
+++ /dev/null
@@ -1,165 +0,0 @@
-# not using WS anymore
-
-from __future__ import annotations
-
-import json, uuid, hashlib, time, random
-
-from aiohttp import ClientSession
-from aiohttp.http import WSMsgType
-import asyncio
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, format_prompt
-
-
-models = {
-    "samantha": "1e3be7fe89e94a809408b1154a2ee3e1",
-    "gpt-3.5-turbo": "8077335db7cd47e29f7de486612cc7fd",
-    "gpt-4": "01c8de4fbfc548df903712b0922a4e01",
-}
-
-
-class Myshell(AsyncGeneratorProvider):
-    url = "https://app.myshell.ai/chat"
-    working               = False
-    supports_gpt_35_turbo = True
-    supports_gpt_4        = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 90,
-        **kwargs
-    ) -> AsyncResult:
-        if not model:
-            bot_id = models["samantha"]
-        elif model in models:
-            bot_id = models[model]
-        else:
-            raise ValueError(f"Model are not supported: {model}")
-        
-        user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36'
-        visitor_id = generate_visitor_id(user_agent)
-
-        async with ClientSession(
-            headers={'User-Agent': user_agent}
-        ) as session:
-            async with session.ws_connect(
-                "wss://api.myshell.ai/ws/?EIO=4&transport=websocket",
-                autoping=False,
-                timeout=timeout,
-                proxy=proxy
-            ) as wss:
-                # Send and receive hello message
-                await wss.receive_str()
-                message = json.dumps({"token": None, "visitorId": visitor_id})
-                await wss.send_str(f"40/chat,{message}")
-                await wss.receive_str()
-
-                # Fix "need_verify_captcha" issue
-                await asyncio.sleep(5)
-
-                # Create chat message
-                text = format_prompt(messages)
-                chat_data = json.dumps(["text_chat",{
-                    "reqId": str(uuid.uuid4()),
-                    "botUid": bot_id,
-                    "sourceFrom": "myshellWebsite",
-                    "text": text,
-                    **generate_signature(text)
-                }])
-
-                # Send chat message
-                chat_start = "42/chat,"
-                chat_message = f"{chat_start}{chat_data}"
-                await wss.send_str(chat_message)
-
-                # Receive messages
-                async for message in wss:
-                    if message.type != WSMsgType.TEXT:
-                        continue
-                    # Ping back
-                    if message.data == "2":
-                        await wss.send_str("3")
-                        continue
-                    # Is not chat message
-                    if not message.data.startswith(chat_start):
-                        continue
-                    data_type, data = json.loads(message.data[len(chat_start):])
-                    if data_type == "text_stream":
-                        if data["data"]["text"]:
-                            yield data["data"]["text"]
-                        elif data["data"]["isFinal"]:
-                            break
-                    elif data_type in ("message_replied", "need_verify_captcha"):
-                        raise RuntimeError(f"Received unexpected message: {data_type}")
-
-
-def generate_timestamp() -> str:
-    return str(
-        int(
-            str(int(time.time() * 1000))[:-1]
-            + str(
-                sum(
-                    2 * int(digit)
-                    if idx % 2 == 0
-                    else 3 * int(digit)
-                    for idx, digit in enumerate(str(int(time.time() * 1000))[:-1])
-                )
-                % 10
-            )
-        )
-    )
-
-def generate_signature(text: str):
-    timestamp = generate_timestamp()
-    version = 'v1.0.0'
-    secret = '8@VXGK3kKHr!u2gA' 
-    data = f"{version}#{text}#{timestamp}#{secret}"
-    signature = hashlib.md5(data.encode()).hexdigest()
-    signature = signature[::-1]
-    return {
-        "signature": signature,
-        "timestamp": timestamp,
-        "version": version
-    }
-
-def xor_hash(B: str):
-    r = []
-    i = 0
-    
-    def o(e, t):
-        o_val = 0
-        for i in range(len(t)):
-            o_val |= r[i] << (8 * i)
-        return e ^ o_val
-    
-    for e in range(len(B)):
-        t = ord(B[e])
-        r.insert(0, 255 & t)
-        
-        if len(r) >= 4:
-            i = o(i, r)
-            r = []
-    
-    if len(r) > 0:
-        i = o(i, r)
-    
-    return hex(i)[2:]
-
-def performance() -> str:
-    t = int(time.time() * 1000)
-    e = 0
-    while t == int(time.time() * 1000):
-        e += 1
-    return hex(t)[2:] + hex(e)[2:]
-
-def generate_visitor_id(user_agent: str) -> str:
-    f = performance()
-    r = hex(int(random.random() * (16**16)))[2:-2]
-    d = xor_hash(user_agent)
-    e = hex(1080 * 1920)[2:]
-    return f"{f}-{r}-{d}-{e}-{f}"
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/NoowAi.py b/g4f/Provider/deprecated/NoowAi.py
deleted file mode 100644
index dba87273..00000000
--- a/g4f/Provider/deprecated/NoowAi.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from __future__ import annotations
-
-import json
-from aiohttp import ClientSession
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider
-from .helper import get_random_string
-
-class NoowAi(AsyncGeneratorProvider):
-    url = "https://noowai.com"
-    supports_message_history = True
-    supports_gpt_35_turbo = True
-    working = False
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
-            "Accept": "*/*",
-            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Referer": f"{cls.url}/",
-            "Content-Type": "application/json",
-            "Origin": cls.url,
-            "Alt-Used": "noowai.com",
-            "Connection": "keep-alive",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-            "Pragma": "no-cache",
-            "Cache-Control": "no-cache",
-            "TE": "trailers"
-        }
-        async with ClientSession(headers=headers) as session:
-            data = {
-                "botId": "default",
-                "customId": "d49bc3670c3d858458576d75c8ea0f5d",
-                "session": "N/A",
-                "chatId": get_random_string(),
-                "contextId": 25,
-                "messages": messages,
-                "newMessage": messages[-1]["content"],
-                "stream": True
-            }
-            async with session.post(f"{cls.url}/wp-json/mwai-ui/v1/chats/submit", json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                async for line in response.content:
-                    if line.startswith(b"data: "):
-                        try:
-                            line = json.loads(line[6:])
-                            assert "type" in line
-                        except:
-                            raise RuntimeError(f"Broken line: {line.decode()}")
-                        if line["type"] == "live":
-                            yield line["data"]
-                        elif line["type"] == "end":
-                            break
-                        elif line["type"] == "error":
-                            raise RuntimeError(line["data"])
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Opchatgpts.py b/g4f/Provider/deprecated/Opchatgpts.py
deleted file mode 100644
index 94b1d099..00000000
--- a/g4f/Provider/deprecated/Opchatgpts.py
+++ /dev/null
@@ -1,59 +0,0 @@
-from __future__ import annotations
-
-import random, string, json
-from aiohttp import ClientSession
-
-from ...typing import Messages, AsyncResult
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import get_random_string
-
-class Opchatgpts(AsyncGeneratorProvider):
-    url = "https://opchatgpts.net"
-    working = False
-    supports_message_history = True
-    supports_gpt_35_turbo = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None, **kwargs) -> AsyncResult:
-        
-        headers = {
-            "User-Agent"         : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
-            "Accept"             : "*/*",
-            "Accept-Language"    : "de,en-US;q=0.7,en;q=0.3",
-            "Origin"             : cls.url,
-            "Alt-Used"           : "opchatgpts.net",
-            "Referer"            : f"{cls.url}/chatgpt-free-use/",
-            "Sec-Fetch-Dest"     : "empty",
-            "Sec-Fetch-Mode"     : "cors",
-            "Sec-Fetch-Site"     : "same-origin",
-        }
-        async with ClientSession(
-            headers=headers
-        ) as session:
-            data = {
-                "botId": "default",
-                "chatId": get_random_string(),
-                "contextId": 28,
-                "customId": None,
-                "messages": messages,
-                "newMessage": messages[-1]["content"],
-                "session": "N/A",
-                "stream": True
-            }
-            async with session.post(f"{cls.url}/wp-json/mwai-ui/v1/chats/submit", json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                async for line in response.content:
-                    if line.startswith(b"data: "):
-                        try:
-                            line = json.loads(line[6:])
-                            assert "type" in line
-                        except:
-                            raise RuntimeError(f"Broken line: {line.decode()}")
-                        if line["type"] == "live":
-                            yield line["data"]
-                        elif line["type"] == "end":
-                            break
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/OpenAssistant.py b/g4f/Provider/deprecated/OpenAssistant.py
deleted file mode 100644
index 80cae3c2..00000000
--- a/g4f/Provider/deprecated/OpenAssistant.py
+++ /dev/null
@@ -1,88 +0,0 @@
-from __future__ import annotations
-
-import json
-
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import format_prompt, get_cookies
-
-class OpenAssistant(AsyncGeneratorProvider):
-    url = "https://open-assistant.io/chat"
-    needs_auth = True
-    working = False
-    model = "OA_SFT_Llama_30B_6"
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        cookies: dict = None,
-        **kwargs
-    ) -> AsyncResult:
-        if not cookies:
-            cookies = get_cookies("open-assistant.io")
-
-        headers = {
-            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
-        }
-        async with ClientSession(
-            cookies=cookies,
-            headers=headers
-        ) as session:
-            async with session.post("https://open-assistant.io/api/chat", proxy=proxy) as response:
-                chat_id = (await response.json())["id"]
-
-            data = {
-                "chat_id": chat_id,
-                "content": f"<s>[INST]\n{format_prompt(messages)}\n[/INST]",
-                "parent_id": None
-            }
-            async with session.post("https://open-assistant.io/api/chat/prompter_message", proxy=proxy, json=data) as response:
-                parent_id = (await response.json())["id"]
-
-            data = {
-                "chat_id": chat_id,
-                "parent_id": parent_id,
-                "model_config_name": model if model else cls.model,
-                "sampling_parameters":{
-                    "top_k": 50,
-                    "top_p": None,
-                    "typical_p": None,
-                    "temperature": 0.35,
-                    "repetition_penalty": 1.1111111111111112,
-                    "max_new_tokens": 1024,
-                    **kwargs
-                },
-                "plugins":[]
-            }
-            async with session.post("https://open-assistant.io/api/chat/assistant_message", proxy=proxy, json=data) as response:
-                data = await response.json()
-                if "id" in  data:
-                    message_id = data["id"]
-                elif "message" in data:
-                    raise RuntimeError(data["message"])
-                else:
-                    response.raise_for_status()
-            
-            params = {
-                'chat_id': chat_id,
-                'message_id': message_id,
-            }
-            async with session.post("https://open-assistant.io/api/chat/events", proxy=proxy, params=params) as response:
-                start = "data: "
-                async for line in response.content:
-                    line = line.decode("utf-8")
-                    if line and line.startswith(start):
-                        line = json.loads(line[len(start):])
-                        if line["event_type"] == "token":
-                            yield line["text"]
-
-            params = {
-                'chat_id': chat_id,
-            }
-            async with session.delete("https://open-assistant.io/api/chat", proxy=proxy, params=params) as response:
-                response.raise_for_status()
diff --git a/g4f/Provider/deprecated/Phind.py b/g4f/Provider/deprecated/Phind.py
deleted file mode 100644
index c72bf09e..00000000
--- a/g4f/Provider/deprecated/Phind.py
+++ /dev/null
@@ -1,140 +0,0 @@
-from __future__ import annotations
-
-import re
-import json
-from urllib import parse
-from datetime import datetime
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-from ...requests import StreamSession
-
-class Phind(AsyncGeneratorProvider):
-    url = "https://www.phind.com"
-    working = False
-    lockdown = True
-    supports_stream = True
-    supports_message_history = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 120,
-        creative_mode: bool = False,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "Accept": "*/*",
-            "Origin": cls.url,
-            "Referer": f"{cls.url}/search",
-            "Sec-Fetch-Dest": "empty", 
-            "Sec-Fetch-Mode": "cors", 
-            "Sec-Fetch-Site": "same-origin",
-        }
-        async with StreamSession(
-            headers=headers,
-            impersonate="chrome",
-            proxies={"https": proxy},
-            timeout=timeout
-        ) as session:
-            url = "https://www.phind.com/search?home=true"
-            async with session.get(url) as response:
-                text = await response.text()
-                match = re.search(r'<script id="__NEXT_DATA__" type="application/json">(?P<json>[\S\s]+?)</script>', text)
-                data = json.loads(match.group("json"))
-                challenge_seeds = data["props"]["pageProps"]["challengeSeeds"]
-                
-            prompt = messages[-1]["content"]
-            data = {
-                "question": prompt,
-                "question_history": [
-                    message["content"] for message in messages[:-1] if message["role"] == "user"
-                ],
-                "answer_history": [
-                    message["content"] for message in messages if message["role"] == "assistant"
-                ],
-                "webResults": [],
-                "options": {
-                    "date": datetime.now().strftime("%d.%m.%Y"),
-                    "language": "en-US",
-                    "detailed": True,
-                    "anonUserId": "",
-                    "answerModel": "GPT-4" if model.startswith("gpt-4") else "Phind-34B",
-                    "creativeMode": creative_mode,
-                    "customLinks": []
-                },
-                "context": "\n".join([message["content"] for message in messages if message["role"] == "system"]),
-            }
-            data["challenge"] = generate_challenge(data, **challenge_seeds)
-            async with session.post(f"https://https.api.phind.com/infer/", headers=headers, json=data) as response:
-                new_line = False
-                async for line in response.iter_lines():
-                    if line.startswith(b"data: "):
-                        chunk = line[6:]
-                        if chunk.startswith(b'<PHIND_DONE/>'):
-                            break
-                        if chunk.startswith(b'<PHIND_BACKEND_ERROR>'):
-                            raise RuntimeError(f"Response: {chunk.decode()}")
-                        if chunk.startswith(b'<PHIND_WEBRESULTS>') or chunk.startswith(b'<PHIND_FOLLOWUP>'):
-                            pass
-                        elif chunk.startswith(b"<PHIND_METADATA>") or chunk.startswith(b"<PHIND_INDICATOR>"):
-                            pass
-                        elif chunk.startswith(b"<PHIND_SPAN_BEGIN>") or chunk.startswith(b"<PHIND_SPAN_END>"):
-                            pass
-                        elif chunk:
-                            yield chunk.decode()
-                        elif new_line:
-                            yield "\n"
-                            new_line = False
-                        else:
-                            new_line = True
-
-def deterministic_stringify(obj):
-    def handle_value(value):
-        if isinstance(value, (dict, list)):
-            if isinstance(value, list):
-                return '[' + ','.join(sorted(map(handle_value, value))) + ']'
-            else:  # It's a dict
-                return '{' + deterministic_stringify(value) + '}'
-        elif isinstance(value, bool):
-            return 'true' if value else 'false'
-        elif isinstance(value, (int, float)):
-            return format(value, '.8f').rstrip('0').rstrip('.')
-        elif isinstance(value, str):
-            return f'"{value}"'
-        else:
-            return 'null'
-
-    items = sorted(obj.items(), key=lambda x: x[0])
-    return ','.join([f'{k}:{handle_value(v)}' for k, v in items if handle_value(v) is not None])
-
-def prng_general(seed, multiplier, addend, modulus):
-    a = seed * multiplier + addend
-    if a < 0:
-        return ((a%modulus)-modulus)/modulus
-    else:
-        return a%modulus/modulus
-
-def generate_challenge_seed(l):
-    I = deterministic_stringify(l)
-    d = parse.quote(I, safe='')
-    return simple_hash(d)
-
-def simple_hash(s):
-    d = 0
-    for char in s:
-        if len(char) > 1 or ord(char) >= 256:
-            continue
-        d = ((d << 5) - d + ord(char[0])) & 0xFFFFFFFF
-        if d > 0x7FFFFFFF: # 2147483647
-            d -= 0x100000000 # Subtract 2**32
-    return d
-
-def generate_challenge(obj, **kwargs):
-    return prng_general(
-        seed=generate_challenge_seed(obj),
-        **kwargs
-    )
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/V50.py b/g4f/Provider/deprecated/V50.py
deleted file mode 100644
index 456445f7..00000000
--- a/g4f/Provider/deprecated/V50.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from __future__ import annotations
-
-import uuid
-
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider
-
-
-class V50(AbstractProvider):
-    url                     = 'https://p5.v50.ltd'
-    supports_gpt_35_turbo   = True
-    supports_stream         = False
-    needs_auth              = False
-    working                 = False
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool, **kwargs: Any) -> CreateResult:
-        
-        conversation = (
-            "\n".join(
-                f"{message['role']}: {message['content']}" for message in messages
-            )
-            + "\nassistant: "
-        )
-        payload = {
-            "prompt"        : conversation,
-            "options"       : {},
-            "systemMessage" : ".",
-            "temperature"   : kwargs.get("temperature", 0.4),
-            "top_p"         : kwargs.get("top_p", 0.4),
-            "model"         : model,
-            "user"          : str(uuid.uuid4())
-        }
-
-        headers = {
-            'authority'         : 'p5.v50.ltd',
-            'accept'            : 'application/json, text/plain, */*',
-            'accept-language'   : 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
-            'content-type'      : 'application/json',
-            'origin'            : 'https://p5.v50.ltd',
-            'referer'           : 'https://p5.v50.ltd/',
-            '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/116.0.0.0 Safari/537.36'
-        }
-        response = requests.post(
-            "https://p5.v50.ltd/api/chat-process",
-            json=payload,
-            headers=headers,
-            proxies=kwargs.get('proxy', {}),
-        )
-
-        if "https://fk1.v50.ltd" not in response.text:
-            yield response.text
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Vercel.py b/g4f/Provider/deprecated/Vercel.py
deleted file mode 100644
index adf7b208..00000000
--- a/g4f/Provider/deprecated/Vercel.py
+++ /dev/null
@@ -1,392 +0,0 @@
-from __future__ import annotations
-
-import json, base64, requests, random, uuid
-
-try:
-    import execjs
-    has_requirements = True
-except ImportError:
-    has_requirements = False
-
-from ...typing       import Messages, TypedDict, CreateResult, Any
-from ..base_provider import AbstractProvider
-from ...errors       import MissingRequirementsError
-
-class Vercel(AbstractProvider):
-    url = 'https://sdk.vercel.ai'
-    working = False
-    supports_message_history = True 
-    supports_gpt_35_turbo = True
-    supports_stream = True
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        **kwargs
-    ) -> CreateResult:
-        if not has_requirements:
-            raise MissingRequirementsError('Install "PyExecJS" package')
-
-        if not model:
-            model = "gpt-3.5-turbo"
-        elif model not in model_info:
-            raise ValueError(f"Vercel does not support {model}")
-
-        headers = {
-            'authority': 'sdk.vercel.ai',
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'cache-control': 'no-cache',
-            'content-type': 'application/json',
-            'custom-encoding': get_anti_bot_token(),
-            'origin': 'https://sdk.vercel.ai',
-            'pragma': 'no-cache',
-            'referer': 'https://sdk.vercel.ai/',
-            'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-origin',
-            'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
-        }
-
-        json_data = {
-            'model'       : model_info[model]['id'],
-            'messages'    : messages,
-            'playgroundId': str(uuid.uuid4()),
-            'chatIndex'   : 0,
-            **model_info[model]['default_params'],
-            **kwargs
-        }
-
-        max_retries  = kwargs.get('max_retries', 20)
-        for _ in range(max_retries):
-            response = requests.post('https://chat.vercel.ai/api/chat', 
-                                    headers=headers, json=json_data, stream=True, proxies={"https": proxy})
-            try:
-                response.raise_for_status()
-            except:
-                continue
-            for token in response.iter_content(chunk_size=None):
-                yield token.decode()
-            break
-
-
-def get_anti_bot_token() -> str:
-    headers = {
-        'authority': 'sdk.vercel.ai',
-        'accept': '*/*',
-        'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-        'cache-control': 'no-cache',
-        'pragma': 'no-cache',
-        'referer': 'https://sdk.vercel.ai/',
-        'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-        'sec-ch-ua-mobile': '?0',
-        'sec-ch-ua-platform': '"macOS"',
-        'sec-fetch-dest': 'empty',
-        'sec-fetch-mode': 'cors',
-        'sec-fetch-site': 'same-origin',
-        'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
-    }
-
-    response = requests.get('https://sdk.vercel.ai/openai.jpeg', 
-                            headers=headers).text
-
-    raw_data = json.loads(base64.b64decode(response, 
-                                    validate=True))
-
-    js_script = '''const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
-        return (%s)(%s)''' % (raw_data['c'], raw_data['a'])
-
-    raw_token = json.dumps({'r': execjs.compile(js_script).call(''), 't': raw_data['t']}, 
-                        separators = (",", ":"))
-
-    return base64.b64encode(raw_token.encode('utf-16le')).decode()
-
-class ModelInfo(TypedDict):
-    id: str
-    default_params: dict[str, Any]
-
-model_info: dict[str, ModelInfo] = {
-    # 'claude-instant-v1': {
-    #     'id': 'anthropic:claude-instant-v1',
-    #     'default_params': {
-    #         'temperature': 1,
-    #         'maximumLength': 1024,
-    #         'topP': 1,
-    #         'topK': 1,
-    #         'presencePenalty': 1,
-    #         'frequencyPenalty': 1,
-    #         'stopSequences': ['\n\nHuman:'],
-    #     },
-    # },
-    # 'claude-v1': {
-    #     'id': 'anthropic:claude-v1',
-    #     'default_params': {
-    #         'temperature': 1,
-    #         'maximumLength': 1024,
-    #         'topP': 1,
-    #         'topK': 1,
-    #         'presencePenalty': 1,
-    #         'frequencyPenalty': 1,
-    #         'stopSequences': ['\n\nHuman:'],
-    #     },
-    # },
-    # 'claude-v2': {
-    #     'id': 'anthropic:claude-v2',
-    #     'default_params': {
-    #         'temperature': 1,
-    #         'maximumLength': 1024,
-    #         'topP': 1,
-    #         'topK': 1,
-    #         'presencePenalty': 1,
-    #         'frequencyPenalty': 1,
-    #         'stopSequences': ['\n\nHuman:'],
-    #     },
-    # },
-    'replicate/llama70b-v2-chat': {
-        'id': 'replicate:replicate/llama-2-70b-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'a16z-infra/llama7b-v2-chat': {
-        'id': 'replicate:a16z-infra/llama7b-v2-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'a16z-infra/llama13b-v2-chat': {
-        'id': 'replicate:a16z-infra/llama13b-v2-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'replicate/llama-2-70b-chat': {
-        'id': 'replicate:replicate/llama-2-70b-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'bigscience/bloom': {
-        'id': 'huggingface:bigscience/bloom',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'google/flan-t5-xxl': {
-        'id': 'huggingface:google/flan-t5-xxl',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'EleutherAI/gpt-neox-20b': {
-        'id': 'huggingface:EleutherAI/gpt-neox-20b',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-            'stopSequences': [],
-        },
-    },
-    'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5': {
-        'id': 'huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
-        'default_params': {
-            'maximumLength': 1024,
-            'typicalP': 0.2,
-            'repetitionPenalty': 1,
-        },
-    },
-    'OpenAssistant/oasst-sft-1-pythia-12b': {
-        'id': 'huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
-        'default_params': {
-            'maximumLength': 1024,
-            'typicalP': 0.2,
-            'repetitionPenalty': 1,
-        },
-    },
-    'bigcode/santacoder': {
-        'id': 'huggingface:bigcode/santacoder',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'command-light-nightly': {
-        'id': 'cohere:command-light-nightly',
-        'default_params': {
-            'temperature': 0.9,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 0,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'command-nightly': {
-        'id': 'cohere:command-nightly',
-        'default_params': {
-            'temperature': 0.9,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 0,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    # 'gpt-4': {
-    #     'id': 'openai:gpt-4',
-    #     'default_params': {
-    #         'temperature': 0.7,
-    #         'maximumLength': 8192,
-    #         'topP': 1,
-    #         'presencePenalty': 0,
-    #         'frequencyPenalty': 0,
-    #         'stopSequences': [],
-    #     },
-    # },
-    # 'gpt-4-0613': {
-    #     'id': 'openai:gpt-4-0613',
-    #     'default_params': {
-    #         'temperature': 0.7,
-    #         'maximumLength': 8192,
-    #         'topP': 1,
-    #         'presencePenalty': 0,
-    #         'frequencyPenalty': 0,
-    #         'stopSequences': [],
-    #     },
-    # },
-    'code-davinci-002': {
-        'id': 'openai:code-davinci-002',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo': {
-        'id': 'openai:gpt-3.5-turbo',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 4096,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo-16k': {
-        'id': 'openai:gpt-3.5-turbo-16k',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 16280,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo-16k-0613': {
-        'id': 'openai:gpt-3.5-turbo-16k-0613',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 16280,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'text-ada-001': {
-        'id': 'openai:text-ada-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-babbage-001': {
-        'id': 'openai:text-babbage-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-curie-001': {
-        'id': 'openai:text-curie-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-davinci-002': {
-        'id': 'openai:text-davinci-002',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-davinci-003': {
-        'id': 'openai:text-davinci-003',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 4097,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-}
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Vitalentum.py b/g4f/Provider/deprecated/Vitalentum.py
deleted file mode 100644
index 8f466a52..00000000
--- a/g4f/Provider/deprecated/Vitalentum.py
+++ /dev/null
@@ -1,55 +0,0 @@
-from __future__ import annotations
-
-import json
-from aiohttp import ClientSession
-
-from ..base_provider import AsyncGeneratorProvider
-from ...typing import AsyncResult, Messages
-
-class Vitalentum(AsyncGeneratorProvider):
-    url                   = "https://app.vitalentum.io"
-    supports_gpt_35_turbo = True
-
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
-            "Accept": "text/event-stream",
-            "Accept-language": "de,en-US;q=0.7,en;q=0.3",
-            "Origin": cls.url,
-            "Referer": f"{cls.url}/",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-        }
-        conversation = json.dumps({"history": [{
-            "speaker": "human" if message["role"] == "user" else "bot",
-            "text": message["content"],
-        } for message in messages]})
-        data = {
-            "conversation": conversation,
-            "temperature": 0.7,
-            **kwargs
-        }
-        async with ClientSession(
-                headers=headers
-            ) as session:
-            async with session.post(f"{cls.url}/api/converse-edge", json=data, proxy=proxy) as response:
-                response.raise_for_status()
-                async for line in response.content:
-                    line = line.decode()
-                    if line.startswith("data: "):
-                        if line.startswith("data: [DONE]"):
-                            break
-                        line = json.loads(line[6:-1])
-                        content = line["choices"][0]["delta"].get("content")
-
-                        if content:
-                            yield content
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/VoiGpt.py b/g4f/Provider/deprecated/VoiGpt.py
deleted file mode 100644
index 9b061e63..00000000
--- a/g4f/Provider/deprecated/VoiGpt.py
+++ /dev/null
@@ -1,91 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-from ..base_provider import AbstractProvider
-from ...typing import Messages, CreateResult
-
-
-class VoiGpt(AbstractProvider):
-    """
-    VoiGpt - A provider for VoiGpt.com
-
-    **Note** : to use this provider you have to get your csrf token/cookie from the voigpt.com website
-
-    Args:
-        model: The model to use
-        messages: The messages to send
-        stream: Whether to stream the response
-        proxy: The proxy to use
-        access_token: The access token to use
-        **kwargs: Additional keyword arguments
-
-    Returns:
-        A CreateResult object
-    """
-    url = "https://voigpt.com"
-    working = False
-    supports_gpt_35_turbo = True
-    supports_message_history = True
-    supports_stream = False
-    _access_token: str = None
-
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        access_token: str = None,
-        **kwargs
-    ) -> CreateResult:
-        
-        if not model:
-            model = "gpt-3.5-turbo"
-        if not access_token:
-            access_token = cls._access_token
-        if not access_token:
-            headers = {
-                "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
-                "accept-language": "de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US;q=0.6",
-                "sec-ch-ua": "\"Google Chrome\";v=\"119\", \"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"",
-                "sec-ch-ua-mobile": "?0",
-                "sec-ch-ua-platform": "\"Linux\"",
-                "sec-fetch-dest": "document",
-                "sec-fetch-mode": "navigate",
-                "sec-fetch-site": "none",
-                "sec-fetch-user": "?1",
-                "upgrade-insecure-requests": "1",
-                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36",
-            }
-            req_response = requests.get(cls.url, headers=headers)
-            access_token = cls._access_token = req_response.cookies.get("csrftoken")
-
-        headers = {
-            "Accept-Encoding": "gzip, deflate, br",
-            "Accept-Language": "de-DE,de;q=0.9,en-DE;q=0.8,en;q=0.7,en-US;q=0.6",
-            "Cookie": f"csrftoken={access_token};",
-            "Origin": "https://voigpt.com",
-            "Referer": "https://voigpt.com/",
-            "Sec-Ch-Ua": "'Google Chrome';v='119', 'Chromium';v='119', 'Not?A_Brand';v='24'",
-            "Sec-Ch-Ua-Mobile": "?0",
-            "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/119.0.0.0 Safari/537.36",
-            "X-Csrftoken": access_token,
-        }
-
-        payload = {
-            "messages": messages,
-        }
-        request_url = f"{cls.url}/generate_response/"
-        req_response = requests.post(request_url, headers=headers, json=payload)
-        try:
-            response = json.loads(req_response.text)
-            yield response["response"]
-        except:
-            raise RuntimeError(f"Response: {req_response.text}")
-    
diff --git a/g4f/Provider/deprecated/Wewordle.py b/g4f/Provider/deprecated/Wewordle.py
deleted file mode 100644
index c30887fb..00000000
--- a/g4f/Provider/deprecated/Wewordle.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from __future__ import annotations
-
-import random, string, time
-from aiohttp import ClientSession
-
-from ..base_provider import AsyncProvider
-
-
-class Wewordle(AsyncProvider):
-    url                    = "https://wewordle.org"
-    working                = False
-    supports_gpt_35_turbo  = True
-
-    @classmethod
-    async def create_async(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        proxy: str = None,
-        **kwargs
-    ) -> str:
-        
-        headers = {
-            "accept"        : "*/*",
-            "pragma"        : "no-cache",
-            "Content-Type"  : "application/json",
-            "Connection"    : "keep-alive"
-        }
-
-        _user_id = "".join(random.choices(f"{string.ascii_lowercase}{string.digits}", k=16))
-        _app_id = "".join(random.choices(f"{string.ascii_lowercase}{string.digits}", k=31))
-        _request_date = time.strftime("%Y-%m-%dT%H:%M:%S.000Z", time.gmtime())
-        data = {
-            "user"      : _user_id,
-            "messages"  : messages,
-            "subscriber": {
-                "originalPurchaseDate"          : None,
-                "originalApplicationVersion"    : None,
-                "allPurchaseDatesMillis"        : {},
-                "entitlements"                  : {"active": {}, "all": {}},
-                "allPurchaseDates"              : {},
-                "allExpirationDatesMillis"      : {},
-                "allExpirationDates"            : {},
-                "originalAppUserId"             : f"$RCAnonymousID:{_app_id}",
-                "latestExpirationDate"          : None,
-                "requestDate"                   : _request_date,
-                "latestExpirationDateMillis"    : None,
-                "nonSubscriptionTransactions"   : [],
-                "originalPurchaseDateMillis"    : None,
-                "managementURL"                 : None,
-                "allPurchasedProductIdentifiers": [],
-                "firstSeen"                     : _request_date,
-                "activeSubscriptions"           : [],
-            }
-        }
-
-
-        async with ClientSession(
-            headers=headers
-        ) as session:
-            async with session.post(f"{cls.url}/gptapi/v1/android/turbo", proxy=proxy, json=data) as response:
-                response.raise_for_status()
-                content = (await response.json())["message"]["content"]
-                if content:
-                    return content
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Wuguokai.py b/g4f/Provider/deprecated/Wuguokai.py
deleted file mode 100644
index f12d1bfe..00000000
--- a/g4f/Provider/deprecated/Wuguokai.py
+++ /dev/null
@@ -1,57 +0,0 @@
-from __future__ import annotations
-
-import random
-
-import requests
-
-from ...typing import Any, CreateResult
-from ..base_provider import AbstractProvider, format_prompt
-
-
-class Wuguokai(AbstractProvider):
-    url = 'https://chat.wuguokai.xyz'
-    supports_gpt_35_turbo = True
-    working = False
-
-    @staticmethod
-    def create_completion(
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool,
-        **kwargs: Any,
-    ) -> CreateResult:
-        headers = {
-            'authority': 'ai-api.wuguokai.xyz',
-            'accept': 'application/json, text/plain, */*',
-            'accept-language': 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
-            'content-type': 'application/json',
-            'origin': 'https://chat.wuguokai.xyz',
-            'referer': 'https://chat.wuguokai.xyz/',
-            'sec-ch-ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"Windows"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-site',
-            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'
-        }
-        data ={
-            "prompt": format_prompt(messages),
-            "options": {},
-            "userId": f"#/chat/{random.randint(1,99999999)}",
-            "usingContext": True
-        }
-        response = requests.post(
-            "https://ai-api20.wuguokai.xyz/api/chat-process",
-            headers=headers,
-            timeout=3,
-            json=data,
-            proxies=kwargs.get('proxy', {}),
-        )
-        _split = response.text.split("> 若回答失败请重试或多刷新几次界面后重试")
-        if response.status_code != 200:
-            raise Exception(f"Error: {response.status_code} {response.reason}")
-        if len(_split) > 1:
-            yield _split[1].strip()
-        else:
-            yield _split[0].strip()
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Ylokh.py b/g4f/Provider/deprecated/Ylokh.py
deleted file mode 100644
index dbff4602..00000000
--- a/g4f/Provider/deprecated/Ylokh.py
+++ /dev/null
@@ -1,58 +0,0 @@
-from __future__ import annotations
-
-import json
-
-from ...requests import StreamSession
-from ..base_provider import AsyncGeneratorProvider
-from ...typing import AsyncResult, Messages
-
-class Ylokh(AsyncGeneratorProvider):
-    url = "https://chat.ylokh.xyz"
-    working = False
-    supports_message_history = True 
-    supports_gpt_35_turbo = True
-
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool = True,
-        proxy: str = None,
-        timeout: int = 120,
-        **kwargs
-    ) -> AsyncResult:
-        model = model if model else "gpt-3.5-turbo"
-        headers = {"Origin": cls.url, "Referer": f"{cls.url}/"}
-        data = {
-            "messages": messages,
-            "model": model,
-            "temperature": 1,
-            "presence_penalty": 0,
-            "top_p": 1,
-            "frequency_penalty": 0,
-            "allow_fallback": True,
-            "stream": stream,
-            **kwargs
-        }
-        async with StreamSession(
-                headers=headers,
-                proxies={"https": proxy},
-                timeout=timeout
-            ) as session:
-            async with session.post("https://chatapi.ylokh.xyz/v1/chat/completions", json=data) as response:
-                response.raise_for_status()
-                if stream:
-                    async for line in response.iter_lines():
-                        line = line.decode()
-                        if line.startswith("data: "):
-                            if line.startswith("data: [DONE]"):
-                                break
-                            line = json.loads(line[6:])
-                            content = line["choices"][0]["delta"].get("content")
-                            if content:
-                                yield content
-                else:
-                    chat = await response.json()
-                    yield chat["choices"][0]["message"].get("content")
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Yqcloud.py b/g4f/Provider/deprecated/Yqcloud.py
deleted file mode 100644
index 227f8995..00000000
--- a/g4f/Provider/deprecated/Yqcloud.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from __future__ import annotations
-
-import random
-from ...requests import StreamSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, format_prompt
-
-
-class Yqcloud(AsyncGeneratorProvider):
-    url = "https://chat9.yqcloud.top/"
-    working = False
-    supports_gpt_35_turbo = True
-
-    @staticmethod
-    async def create_async_generator(
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 120,
-        **kwargs,
-    ) -> AsyncResult:
-        async with StreamSession(
-            headers=_create_header(), proxies={"https": proxy}, timeout=timeout
-        ) as session:
-            payload = _create_payload(messages, **kwargs)
-            async with session.post("https://api.aichatos.cloud/api/generateStream", json=payload) as response:
-                response.raise_for_status()
-                async for chunk in response.iter_content():
-                    if chunk:
-                        chunk = chunk.decode()
-                        if "sorry, 您的ip已由于触发防滥用检测而被封禁" in chunk:
-                            raise RuntimeError("IP address is blocked by abuse detection.")
-                        yield chunk
-
-
-def _create_header():
-    return {
-        "accept"        : "application/json, text/plain, */*",
-        "content-type"  : "application/json",
-        "origin"        : "https://chat9.yqcloud.top",
-        "referer"       : "https://chat9.yqcloud.top/"
-    }
-
-
-def _create_payload(
-    messages: Messages,
-    system_message: str = "",
-    user_id: int = None,
-    **kwargs
-):
-    if not user_id:
-        user_id = random.randint(1690000544336, 2093025544336)
-    return {
-        "prompt": format_prompt(messages),
-        "network": True,
-        "system": system_message,
-        "withoutContext": False,
-        "stream": True,
-        "userId": f"#/chat/{user_id}"
-    }
diff --git a/g4f/Provider/deprecated/__init__.py b/g4f/Provider/deprecated/__init__.py
deleted file mode 100644
index bf923f2a..00000000
--- a/g4f/Provider/deprecated/__init__.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from .AiService     import AiService
-from .CodeLinkAva   import CodeLinkAva
-from .DfeHub        import DfeHub
-from .EasyChat      import EasyChat
-from .Forefront     import Forefront
-from .GetGpt        import GetGpt
-from .Lockchat      import Lockchat
-from .Wewordle      import Wewordle
-from .Equing        import Equing
-from .Wuguokai      import Wuguokai
-from .V50           import V50
-from .FastGpt       import FastGpt
-from .Aivvm         import Aivvm
-from .Vitalentum    import Vitalentum
-from .H2o           import H2o
-from .Myshell       import Myshell
-from .Acytoo        import Acytoo
-from .Aibn          import Aibn
-from .Ails          import Ails 
-from .ChatgptDuo    import ChatgptDuo
-from .Cromicle      import Cromicle
-from .Opchatgpts    import Opchatgpts
-from .Yqcloud       import Yqcloud
-from .Aichat        import Aichat
-from .Berlin        import Berlin
-from .Phind         import Phind
-from .AiAsk         import AiAsk
-from ..AiChatOnline  import AiChatOnline
-from .ChatAnywhere  import ChatAnywhere
-from .FakeGpt       import FakeGpt
-from .GeekGpt       import GeekGpt
-from .GPTalk        import GPTalk
-from .Hashnode      import Hashnode
-from .Ylokh         import Ylokh
-from .OpenAssistant import OpenAssistant
\ No newline at end of file
diff --git a/g4f/Provider/needs_auth/Gemini.py b/g4f/Provider/needs_auth/Gemini.py
index eddd25fa..8d741476 100644
--- a/g4f/Provider/needs_auth/Gemini.py
+++ b/g4f/Provider/needs_auth/Gemini.py
@@ -54,6 +54,7 @@ class Gemini(AsyncGeneratorProvider):
     url = "https://gemini.google.com"
     needs_auth = True
     working = True
+    default_model = 'gemini'
     image_models = ["gemini"]
     default_vision_model = "gemini"
     _cookies: Cookies = None
@@ -305,4 +306,4 @@ class Conversation(BaseConversation):
     ) -> None:
         self.conversation_id = conversation_id
         self.response_id = response_id
-        self.choice_id = choice_id
\ No newline at end of file
+        self.choice_id = choice_id
diff --git a/g4f/Provider/needs_auth/OpenRouter.py b/g4f/Provider/needs_auth/OpenRouter.py
index 7945784a..5e0bf336 100644
--- a/g4f/Provider/needs_auth/OpenRouter.py
+++ b/g4f/Provider/needs_auth/OpenRouter.py
@@ -8,7 +8,7 @@ from ...typing import AsyncResult, Messages
 class OpenRouter(Openai):
     label = "OpenRouter"
     url = "https://openrouter.ai"
-    working = True
+    working = False
     default_model = "mistralai/mistral-7b-instruct:free"
 
     @classmethod
@@ -29,4 +29,4 @@ class OpenRouter(Openai):
     ) -> AsyncResult:
         return super().create_async_generator(
             model, messages, api_base=api_base, **kwargs
-        )
\ No newline at end of file
+        )
diff --git a/g4f/Provider/needs_auth/Openai.py b/g4f/Provider/needs_auth/Openai.py
index a0740c47..382ebada 100644
--- a/g4f/Provider/needs_auth/Openai.py
+++ b/g4f/Provider/needs_auth/Openai.py
@@ -11,7 +11,7 @@ from ...image import to_data_uri
 
 class Openai(AsyncGeneratorProvider, ProviderModelMixin):
     label = "OpenAI API"
-    url = "https://openai.com"
+    url = "https://platform.openai.com"
     working = True
     needs_auth = True
     supports_message_history = True
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index 82462040..f02121e3 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -61,9 +61,11 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
     default_model = None
     default_vision_model = "gpt-4o"
     models = [ "auto", "gpt-4o-mini", "gpt-4o", "gpt-4", "gpt-4-gizmo"]
+    
     model_aliases = {
-        "gpt-4-turbo-preview": "gpt-4",
-        "dall-e": "gpt-4",
+        #"gpt-4-turbo": "gpt-4",
+        #"gpt-4": "gpt-4-gizmo",
+        #"dalle": "gpt-4",
     }
     _api_key: str = None
     _headers: dict = None
diff --git a/g4f/Provider/needs_auth/PerplexityApi.py b/g4f/Provider/needs_auth/PerplexityApi.py
index 35d8d9d6..3ee65b30 100644
--- a/g4f/Provider/needs_auth/PerplexityApi.py
+++ b/g4f/Provider/needs_auth/PerplexityApi.py
@@ -15,7 +15,6 @@ class PerplexityApi(Openai):
         "llama-3-sonar-large-32k-online",
         "llama-3-8b-instruct",
         "llama-3-70b-instruct",
-        "mixtral-8x7b-instruct"
     ]
 
     @classmethod
@@ -28,4 +27,4 @@ class PerplexityApi(Openai):
     ) -> AsyncResult:
         return super().create_async_generator(
             model, messages, api_base=api_base, **kwargs
-        )
\ No newline at end of file
+        )
diff --git a/g4f/Provider/needs_auth/__init__.py b/g4f/Provider/needs_auth/__init__.py
index b5463b71..0492645d 100644
--- a/g4f/Provider/needs_auth/__init__.py
+++ b/g4f/Provider/needs_auth/__init__.py
@@ -7,5 +7,5 @@ from .Poe           import Poe
 from .Openai        import Openai
 from .Groq          import Groq
 from .OpenRouter    import OpenRouter
-from .OpenaiAccount import OpenaiAccount
-from .PerplexityApi import PerplexityApi
\ No newline at end of file
+#from .OpenaiAccount import OpenaiAccount
+from .PerplexityApi import PerplexityApi
diff --git a/g4f/Provider/selenium/Bard.py b/g4f/Provider/selenium/Bard.py
deleted file mode 100644
index 9c809128..00000000
--- a/g4f/Provider/selenium/Bard.py
+++ /dev/null
@@ -1,80 +0,0 @@
-from __future__ import annotations
-
-import time
-import os
-
-try:
-    from selenium.webdriver.common.by import By
-    from selenium.webdriver.support.ui import WebDriverWait
-    from selenium.webdriver.support import expected_conditions as EC
-except ImportError:
-    pass
-
-from ...typing import CreateResult, Messages
-from ..base_provider import AbstractProvider
-from ..helper import format_prompt
-from ...webdriver import WebDriver, WebDriverSession, element_send_text
-
-
-class Bard(AbstractProvider):
-    url = "https://bard.google.com"
-    working = False
-    needs_auth = True
-    webdriver = True
-
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        webdriver: WebDriver = None,
-        user_data_dir: str = None,
-        headless: bool = True,
-        **kwargs
-    ) -> CreateResult:
-        prompt = format_prompt(messages)
-        session = WebDriverSession(webdriver, user_data_dir, headless, proxy=proxy)
-        with session as driver:
-            try:
-                driver.get(f"{cls.url}/chat")
-                wait = WebDriverWait(driver, 10 if headless else 240)
-                wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
-            except:
-                # Reopen browser for login
-                if not webdriver:
-                    driver = session.reopen()
-                    driver.get(f"{cls.url}/chat")
-                    login_url = os.environ.get("G4F_LOGIN_URL")
-                    if login_url:
-                        yield f"Please login: [Google Bard]({login_url})\n\n"
-                    wait = WebDriverWait(driver, 240)
-                    wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
-                else:
-                    raise RuntimeError("Prompt textarea not found. You may not be logged in.")
-
-            # Add hook in XMLHttpRequest
-            script = """
-const _http_request_open = XMLHttpRequest.prototype.open;
-window._message = "";
-XMLHttpRequest.prototype.open = function(method, url) {
-    if (url.includes("/assistant.lamda.BardFrontendService/StreamGenerate")) {
-        this.addEventListener("load", (event) => {
-            window._message = JSON.parse(JSON.parse(this.responseText.split("\\n")[3])[0][2])[4][0][1][0];
-        });
-    }
-    return _http_request_open.call(this, method, url);
-}
-"""
-            driver.execute_script(script)
-
-            element_send_text(driver.find_element(By.CSS_SELECTOR, "div.ql-editor.textarea"), prompt)
-            
-            while True:
-                chunk = driver.execute_script("return window._message;")
-                if chunk:
-                    yield chunk
-                    return
-                else:
-                    time.sleep(0.1)
\ No newline at end of file
diff --git a/g4f/Provider/selenium/MyShell.py b/g4f/Provider/selenium/MyShell.py
index a3f246ff..02e182d4 100644
--- a/g4f/Provider/selenium/MyShell.py
+++ b/g4f/Provider/selenium/MyShell.py
@@ -9,7 +9,7 @@ from ...webdriver import WebDriver, WebDriverSession, bypass_cloudflare
 
 class MyShell(AbstractProvider):
     url = "https://app.myshell.ai/chat"
-    working = True
+    working = False
     supports_gpt_35_turbo = True
     supports_stream = True
 
@@ -73,4 +73,4 @@ return content;
                 elif chunk != "":
                     break
                 else:
-                    time.sleep(0.1)
\ No newline at end of file
+                    time.sleep(0.1)
diff --git a/g4f/Provider/selenium/PerplexityAi.py b/g4f/Provider/selenium/PerplexityAi.py
index 6b529d5b..d965dbf7 100644
--- a/g4f/Provider/selenium/PerplexityAi.py
+++ b/g4f/Provider/selenium/PerplexityAi.py
@@ -16,7 +16,7 @@ from ...webdriver import WebDriver, WebDriverSession, element_send_text
 
 class PerplexityAi(AbstractProvider):
     url = "https://www.perplexity.ai"
-    working = True
+    working = False
     supports_gpt_35_turbo = True
     supports_stream = True
 
@@ -105,4 +105,4 @@ if(window._message && window._message != window._last_message) {
                 elif chunk != "":
                     break
                 else:
-                    time.sleep(0.1)
\ No newline at end of file
+                    time.sleep(0.1)
diff --git a/g4f/Provider/selenium/TalkAi.py b/g4f/Provider/selenium/TalkAi.py
index 89280598..a7b63375 100644
--- a/g4f/Provider/selenium/TalkAi.py
+++ b/g4f/Provider/selenium/TalkAi.py
@@ -8,7 +8,7 @@ from ...webdriver import WebDriver, WebDriverSession
 
 class TalkAi(AbstractProvider):
     url = "https://talkai.info"
-    working = True
+    working = False
     supports_gpt_35_turbo = True
     supports_stream = True
 
@@ -83,4 +83,4 @@ return content;
                 elif chunk != "":
                     break
                 else:
-                    time.sleep(0.1)
\ No newline at end of file
+                    time.sleep(0.1)
diff --git a/g4f/Provider/selenium/__init__.py b/g4f/Provider/selenium/__init__.py
index 1b801725..3a59ea58 100644
--- a/g4f/Provider/selenium/__init__.py
+++ b/g4f/Provider/selenium/__init__.py
@@ -2,4 +2,3 @@ from .MyShell import MyShell
 from .PerplexityAi import PerplexityAi
 from .Phind import Phind
 from .TalkAi import TalkAi
-from .Bard import Bard
\ No newline at end of file
diff --git a/g4f/Provider/unfinished/AiChatting.py b/g4f/Provider/unfinished/AiChatting.py
deleted file mode 100644
index f062fa98..00000000
--- a/g4f/Provider/unfinished/AiChatting.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from __future__ import annotations
-
-from urllib.parse import unquote
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AbstractProvider
-from ...webdriver import WebDriver
-from ...requests import Session, get_session_from_browser
-
-class AiChatting(AbstractProvider):
-    url = "https://www.aichatting.net"
-    supports_gpt_35_turbo = True
-    _session: Session = None
-
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        timeout: int = 120,
-        webdriver: WebDriver = None,
-        **kwargs
-    ) -> AsyncResult:
-        if not cls._session:
-            cls._session = get_session_from_browser(cls.url, webdriver, proxy, timeout)
-        visitorId = unquote(cls._session.cookies.get("aichatting.website.visitorId"))
-                        
-        headers = {
-            "accept": "application/json, text/plain, */*",
-            "lang": "en",
-            "source": "web"
-        }
-        data = {
-            "roleId": 0,
-        }
-        try:
-            response = cls._session.post("https://aga-api.aichatting.net/aigc/chat/record/conversation/create", json=data, headers=headers)
-            response.raise_for_status()
-            conversation_id = response.json()["data"]["conversationId"]
-        except Exception as e:
-            cls.reset()
-            raise e
-        headers = {
-            "authority": "aga-api.aichatting.net",
-            "accept": "text/event-stream,application/json, text/event-stream",
-            "lang": "en",
-            "source": "web",
-            "vtoken": visitorId,
-        }
-        data = {
-            "spaceHandle": True,
-            "roleId": 0,
-            "messages": messages,
-            "conversationId": conversation_id,
-        }
-        response = cls._session.post("https://aga-api.aichatting.net/aigc/chat/v2/stream", json=data, headers=headers, stream=True)
-        response.raise_for_status()
-        for chunk in response.iter_lines():
-            if chunk.startswith(b"data:"):
-                yield chunk[5:].decode().replace("-=- --", " ").replace("-=-n--", "\n").replace("--@DONE@--", "")
-
-    @classmethod
-    def reset(cls):
-        cls._session = None
\ No newline at end of file
diff --git a/g4f/Provider/unfinished/ChatAiGpt.py b/g4f/Provider/unfinished/ChatAiGpt.py
deleted file mode 100644
index bc962623..00000000
--- a/g4f/Provider/unfinished/ChatAiGpt.py
+++ /dev/null
@@ -1,68 +0,0 @@
-from __future__ import annotations
-
-import re
-from aiohttp import ClientSession
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import format_prompt
-
-
-class ChatAiGpt(AsyncGeneratorProvider):
-    url                   = "https://chataigpt.org"
-    supports_gpt_35_turbo = True
-    _nonce                = None
-    _post_id              = None
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
-            "Accept": "*/*",
-            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Origin": cls.url,
-            "Alt-Used": cls.url,
-            "Connection": "keep-alive",
-            "Referer": cls.url,
-            "Pragma": "no-cache",
-            "Cache-Control": "no-cache",
-            "TE": "trailers",
-            "Sec-Fetch-Dest": "empty",
-            "Sec-Fetch-Mode": "cors",
-            "Sec-Fetch-Site": "same-origin",
-        }
-        async with ClientSession(headers=headers) as session:
-            if not cls._nonce:
-                async with session.get(f"{cls.url}/", proxy=proxy) as response:
-                    response.raise_for_status()
-                    response = await response.text()
-
-                    result = re.search(
-                        r'data-nonce=(.*?) data-post-id=([0-9]+)', response
-                    )
-
-                    if result:
-                        cls._nonce, cls._post_id = result.group(1), result.group(2)
-                    else:
-                        raise RuntimeError("No nonce found")
-            prompt = format_prompt(messages)
-            data = {
-                "_wpnonce": cls._nonce,
-                "post_id": cls._post_id,
-                "url": cls.url,
-                "action": "wpaicg_chat_shortcode_message",
-                "message": prompt,
-                "bot_id": 0
-            }
-            async with session.post(f"{cls.url}/wp-admin/admin-ajax.php", data=data, proxy=proxy) as response:
-                response.raise_for_status()
-                async for chunk in response.content:
-                    if chunk:
-                        yield chunk.decode()
\ No newline at end of file
diff --git a/g4f/Provider/unfinished/Komo.py b/g4f/Provider/unfinished/Komo.py
deleted file mode 100644
index 84d8d634..00000000
--- a/g4f/Provider/unfinished/Komo.py
+++ /dev/null
@@ -1,44 +0,0 @@
-from __future__ import annotations
-
-import json
-
-from ...requests     import StreamSession
-from ...typing       import AsyncGenerator
-from ..base_provider import AsyncGeneratorProvider, format_prompt
-
-class Komo(AsyncGeneratorProvider):
-    url = "https://komo.ai/api/ask"
-    supports_gpt_35_turbo = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        **kwargs
-    ) -> AsyncGenerator:
-        async with StreamSession(impersonate="chrome107") as session:
-            prompt = format_prompt(messages)
-            data = {
-                "query": prompt,
-                "FLAG_URLEXTRACT": "false",
-                "token": "",
-                "FLAG_MODELA": "1",
-            }
-            headers = {
-                'authority': 'komo.ai',
-                'accept': 'text/event-stream',
-                'cache-control': 'no-cache',
-                'referer': 'https://komo.ai/',
-            }
-            
-            async with session.get(cls.url, params=data, headers=headers) as response:
-                response.raise_for_status()
-                next = False
-                async for line in response.iter_lines():
-                    if line == b"event: line":
-                        next = True
-                    elif next and line.startswith(b"data: "):
-                        yield json.loads(line[6:])
-                        next = False
-
diff --git a/g4f/Provider/unfinished/MikuChat.py b/g4f/Provider/unfinished/MikuChat.py
deleted file mode 100644
index bf19631f..00000000
--- a/g4f/Provider/unfinished/MikuChat.py
+++ /dev/null
@@ -1,97 +0,0 @@
-from __future__ import annotations
-
-import random, json
-from datetime import datetime
-from ...requests import StreamSession
-
-from ...typing import AsyncGenerator
-from ..base_provider import AsyncGeneratorProvider
-
-
-class MikuChat(AsyncGeneratorProvider):
-    url = "https://ai.okmiku.com"
-    supports_gpt_35_turbo = True
-
-    @classmethod
-    async def create_async_generator(
-            cls,
-            model: str,
-            messages: list[dict[str, str]],
-            **kwargs
-    ) -> AsyncGenerator:
-        if not model:
-            model = "gpt-3.5-turbo"
-        headers = {
-            "authority": "api.catgpt.cc",
-            "accept": "application/json",
-            "origin": cls.url,
-            "referer": f"{cls.url}/chat/",
-            'x-app-version': 'undefined',
-            'x-date': get_datetime(),
-            'x-fingerprint': get_fingerprint(),
-            'x-platform': 'web'
-        }
-        async with StreamSession(headers=headers, impersonate="chrome107") as session:
-            data = {
-                "model": model,
-                "top_p": 0.8,
-                "temperature": 0.5,
-                "presence_penalty": 1,
-                "frequency_penalty": 0,
-                "max_tokens": 2000,
-                "stream": True,
-                "messages": messages,
-            }
-            async with session.post("https://api.catgpt.cc/ai/v1/chat/completions", json=data) as response:
-                print(await response.text())
-                response.raise_for_status()
-                async for line in response.iter_lines():
-                    if line.startswith(b"data: "):
-                        line = json.loads(line[6:])
-                        chunk = line["choices"][0]["delta"].get("content")
-                        if chunk:
-                            yield chunk
-
-def k(e: str, t: int):
-    a = len(e) & 3
-    s = len(e) - a
-    i = t
-    c = 3432918353
-    o = 461845907
-    n = 0
-    r = 0
-    while n < s:
-        r = (ord(e[n]) & 255) | ((ord(e[n + 1]) & 255) << 8) | ((ord(e[n + 2]) & 255) << 16) | ((ord(e[n + 3]) & 255) << 24)
-        n += 4
-        r = (r & 65535) * c + (((r >> 16) * c & 65535) << 16) & 4294967295
-        r = (r << 15) | (r >> 17)
-        r = (r & 65535) * o + (((r >> 16) * o & 65535) << 16) & 4294967295
-        i ^= r
-        i = (i << 13) | (i >> 19)
-        l = (i & 65535) * 5 + (((i >> 16) * 5 & 65535) << 16) & 4294967295
-        i = (l & 65535) + 27492 + (((l >> 16) + 58964 & 65535) << 16)
-    
-    if a == 3:
-        r ^= (ord(e[n + 2]) & 255) << 16
-    elif a == 2:
-        r ^= (ord(e[n + 1]) & 255) << 8
-    elif a == 1:
-        r ^= ord(e[n]) & 255
-        r = (r & 65535) * c + (((r >> 16) * c & 65535) << 16) & 4294967295
-        r = (r << 15) | (r >> 17)
-        r = (r & 65535) * o + (((r >> 16) * o & 65535) << 16) & 4294967295
-        i ^= r
-
-    i ^= len(e)
-    i ^= i >> 16
-    i = (i & 65535) * 2246822507 + (((i >> 16) * 2246822507 & 65535) << 16) & 4294967295
-    i ^= i >> 13
-    i = (i & 65535) * 3266489909 + (((i >> 16) * 3266489909 & 65535) << 16) & 4294967295
-    i ^= i >> 16
-    return i & 0xFFFFFFFF
-
-def get_fingerprint() -> str:
-    return str(k(str(int(random.random() * 100000)), 256))
-
-def get_datetime() -> str:
-    return datetime.now().strftime("%Y-%m-%d %H:%M:%S")
\ No newline at end of file
diff --git a/g4f/Provider/unfinished/__init__.py b/g4f/Provider/unfinished/__init__.py
deleted file mode 100644
index eb5e8825..00000000
--- a/g4f/Provider/unfinished/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from .MikuChat      import MikuChat
-from .Komo          import Komo
-from .ChatAiGpt     import ChatAiGpt
-from .AiChatting    import AiChatting
\ No newline at end of file
diff --git a/g4f/gui/client/static/css/style.css b/g4f/gui/client/static/css/style.css
index f3a4708d..e185c0fe 100644
--- a/g4f/gui/client/static/css/style.css
+++ b/g4f/gui/client/static/css/style.css
@@ -91,7 +91,6 @@ body {
     background: var(--colour-1);
     color: var(--colour-3);
     height: 100vh;
-    max-width: 1600px;
     margin: auto;
 }
 
@@ -1146,4 +1145,4 @@ a:-webkit-any-link {
     .message.regenerate {
         opacity: 1;
     }
-}
\ No newline at end of file
+}
diff --git a/g4f/models.py b/g4f/models.py
index c985ddd3..f5980577 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -4,21 +4,20 @@ from dataclasses import dataclass
 
 from .Provider import IterListProvider, ProviderType
 from .Provider import (
-    AiChatOnline,
     Airforce,
     Allyfy,
     Bing,
     Binjie,
     Bixin123,
     Blackbox,
-    ChatGot,
-    Chatgpt4Online,
     ChatGpt,
     Chatgpt4o,
+    Chatgpt4Online,
+    ChatGptEs,
     ChatgptFree,
-    CodeNews,
     DDG,
     DeepInfra,
+    DeepInfraChat,
     DeepInfraImage,
     Free2GPT,
     FreeChatgpt,
@@ -31,6 +30,7 @@ from .Provider import (
     HuggingFace,
     Koala,
     Liaobots,
+    LiteIcoding,
     MagickPen,
     MetaAI,
     Nexra,
@@ -41,9 +41,7 @@ from .Provider import (
     Reka,
     Replicate,
     ReplicateHome,
-    Snova,
     TeachAnything,
-    TwitterBio,
     Upstage,
     You,
 )
@@ -76,7 +74,6 @@ default = Model(
         FreeChatgpt,
         HuggingChat,
         Pizzagpt,
-        ChatgptFree,
         ReplicateHome,
         Upstage,
         Blackbox,
@@ -84,6 +81,8 @@ default = Model(
         Binjie,
         Free2GPT,
         MagickPen,
+        DeepInfraChat,
+        LiteIcoding,
     ])
 )
 
@@ -106,7 +105,7 @@ gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        Allyfy, TwitterBio, Nexra, Bixin123, CodeNews, Airforce,
+        Allyfy, Nexra, Bixin123, Airforce,
     ])
 )
 
@@ -115,7 +114,7 @@ gpt_4o = Model(
     name          = 'gpt-4o',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        Liaobots, Chatgpt4o, Airforce, 
+        Liaobots, Airforce, Chatgpt4o, ChatGptEs,
         OpenaiChat
     ])
 )
@@ -124,8 +123,8 @@ gpt_4o_mini = Model(
     name          = 'gpt-4o-mini',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        DDG, Liaobots, You, FreeNetfly, Pizzagpt, ChatgptFree, AiChatOnline, CodeNews, MagickPen, Airforce,  
-        OpenaiChat, Koala, ChatGpt    
+        DDG, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, Liaobots, Airforce, ChatgptFree, Koala,
+        OpenaiChat, ChatGpt
     ])
 )
 
@@ -141,8 +140,26 @@ gpt_4 = Model(
     name          = 'gpt-4',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        Chatgpt4Online, Nexra, Binjie, Airforce, Bing,
-        gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider
+        Nexra, Binjie, Airforce,
+        gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider,
+        Chatgpt4Online, Bing, OpenaiChat,
+    ])
+)
+
+# o1
+o1 = Model(
+    name          = 'o1',
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([
+        Liaobots
+    ])
+)
+
+o1_mini = Model(
+    name          = 'o1-mini',
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([
+        Liaobots
     ])
 )
 
@@ -161,40 +178,55 @@ meta = Model(
     best_provider = MetaAI
 )
 
+# llama 2
 llama_2_13b = Model(
     name          = "llama-2-13b",
-    base_provider = "Meta",
+    base_provider = "Meta Llama",
     best_provider = IterListProvider([Airforce])
 )
 
+# llama 3
 llama_3_8b = Model(
     name          = "llama-3-8b",
-    base_provider = "Meta",
+    base_provider = "Meta Llama",
     best_provider = IterListProvider([Airforce, DeepInfra, Replicate])
 )
 
 llama_3_70b = Model(
     name          = "llama-3-70b",
-    base_provider = "Meta",
+    base_provider = "Meta Llama",
     best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
 )
 
+llama_3 = Model(
+    name          = "llama-3",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([llama_3_8b.best_provider, llama_3_70b.best_provider])
+)
+
+# llama 3.1
 llama_3_1_8b = Model(
     name          = "llama-3.1-8b",
-    base_provider = "Meta",
-    best_provider = IterListProvider([Blackbox, Airforce, PerplexityLabs])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, Airforce, PerplexityLabs])
 )
 
 llama_3_1_70b = Model(
     name          = "llama-3.1-70b",
-    base_provider = "Meta",
-    best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, TeachAnything, Free2GPT, Airforce, HuggingFace, PerplexityLabs])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, Airforce, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(
     name          = "llama-3.1-405b",
-    base_provider = "Meta",
-    best_provider = IterListProvider([Blackbox, Airforce])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, Airforce])
+)
+
+llama_3_1 = Model(
+    name          = "llama-3.1",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([llama_3_1_8b.best_provider, llama_3_1_70b.best_provider, llama_3_1_405b.best_provider,])
 )
 
 
@@ -202,19 +234,19 @@ llama_3_1_405b = Model(
 mistral_7b = Model(
     name          = "mistral-7b",
     base_provider = "Mistral",
-    best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace, DeepInfra])
+    best_provider = IterListProvider([HuggingChat, DeepInfraChat, Airforce, HuggingFace, DeepInfra])
 )
 
 mixtral_8x7b = Model(
     name          = "mixtral-8x7b",
     base_provider = "Mistral",
-    best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, Airforce, DeepInfra, HuggingFace])
+    best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, DeepInfraChat, Airforce, DeepInfra, HuggingFace])
 )
 
 mixtral_8x22b = Model(
     name          = "mixtral-8x22b",
     base_provider = "Mistral",
-    best_provider = IterListProvider([Airforce])
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
 
@@ -225,13 +257,6 @@ mixtral_8x7b_dpo = Model(
     best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace])
 )
 
-yi_34b = Model(
-    name = 'yi-34b',
-    base_provider = 'NousResearch',
-    best_provider = IterListProvider([Airforce])
-)
-
-
 ### Microsoft ###
 phi_3_mini_4k = Model(
     name          = "phi-3-mini-4k",
@@ -239,38 +264,37 @@ phi_3_mini_4k = Model(
     best_provider = IterListProvider([HuggingChat, HuggingFace])
 )
 
+phi_3_medium_4k = Model(
+    name          = "phi-3-medium-4k",
+    base_provider = "Microsoft",
+    best_provider = IterListProvider([DeepInfraChat])
+)
 
-### Google ###
+
+### Google DeepMind ###
 # gemini
 gemini_pro = Model(
     name          = 'gemini-pro',
-    base_provider = 'Google',
-    best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots, Airforce])
+    base_provider = 'Google DeepMind',
+    best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, Liaobots, Airforce])
 )
 
 gemini_flash = Model(
     name          = 'gemini-flash',
-    base_provider = 'Google',
+    base_provider = 'Google DeepMind',
     best_provider = IterListProvider([Blackbox, Liaobots, Airforce])
 )
 
 gemini = Model(
     name          = 'gemini',
-    base_provider = 'Google',
+    base_provider = 'Google DeepMind',
     best_provider = IterListProvider([
         Gemini, 
         gemini_flash.best_provider, gemini_pro.best_provider
    ])
 )
 
-
 # gemma
-gemma_2b = Model(
-    name          = 'gemma-2b',
-    base_provider = 'Google',
-    best_provider = IterListProvider([ReplicateHome, Airforce])
-)
-
 gemma_2b_9b = Model(
     name          = 'gemma-2b-9b',
     base_provider = 'Google',
@@ -280,9 +304,19 @@ gemma_2b_9b = Model(
 gemma_2b_27b = Model(
     name          = 'gemma-2b-27b',
     base_provider = 'Google',
-    best_provider = IterListProvider([Airforce])
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
+gemma_2b = Model(
+    name          = 'gemma-2b',
+    base_provider = 'Google',
+    best_provider = IterListProvider([
+        ReplicateHome, Airforce,
+        gemma_2b_9b.best_provider, gemma_2b_27b.best_provider,
+   ])
+)
+
+
 ### Anthropic ###
 claude_2 = Model(
     name          = 'claude-2',
@@ -302,6 +336,7 @@ claude_2_1 = Model(
     best_provider = IterListProvider([Liaobots])
 )
 
+# claude 3
 claude_3_opus = Model(
     name          = 'claude-3-opus',
     base_provider = 'Anthropic',
@@ -314,19 +349,38 @@ claude_3_sonnet = Model(
     best_provider = IterListProvider([Liaobots])
 )
 
+claude_3_haiku = Model(
+    name          = 'claude-3-haiku',
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([DDG, Liaobots])
+)
+
+claude_3 = Model(
+    name          = 'claude-3',
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([
+        claude_3_opus.best_provider, claude_3_sonnet.best_provider, claude_3_haiku.best_provider
+   ])
+)
+
+# claude 3.5
 claude_3_5_sonnet = Model(
-    name          = 'claude-3-5-sonnet',
+    name          = 'claude-3.5-sonnet',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Liaobots])
+    best_provider = IterListProvider([Blackbox, Liaobots])
 )
 
-claude_3_haiku = Model(
-    name          = 'claude-3-haiku',
+claude_3_5 = Model(
+    name          = 'claude-3.5',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([DDG, Liaobots])
+    best_provider = IterListProvider([
+        LiteIcoding,
+        claude_3_5_sonnet.best_provider
+   ])
 )
 
 
+
 ### Reka AI ###
 reka_core = Model(
     name = 'reka-core',
@@ -335,11 +389,11 @@ reka_core = Model(
 )
 
 
-### Blackbox ###
+### Blackbox AI ###
 blackbox = Model(
     name = 'blackbox',
-    base_provider = 'Blackbox',
-    best_provider = Blackbox
+    base_provider = 'Blackbox AI',
+    best_provider = IterListProvider([Blackbox])
 )
 
 
@@ -366,6 +420,7 @@ sparkdesk_v1_1 = Model(
     best_provider = IterListProvider([FreeChatgpt, Airforce])
 )
 
+
 ### Qwen ###
 qwen_1_5_14b = Model(
     name = 'qwen-1.5-14b',
@@ -388,7 +443,7 @@ qwen_1_5_110b = Model(
 qwen_2_72b = Model(
     name = 'qwen-2-72b',
     base_provider = 'Qwen',
-    best_provider = IterListProvider([Airforce])
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
 qwen_turbo = Model(
@@ -397,6 +452,14 @@ qwen_turbo = Model(
     best_provider = IterListProvider([Bixin123])
 )
 
+qwen = Model(
+    name = 'qwen',
+    base_provider = 'Qwen',
+    best_provider = IterListProvider([
+        qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_2_72b.best_provider, qwen_turbo.best_provider
+   ])
+)
+
 
 ### Zhipu AI ###
 glm_3_6b = Model(
@@ -415,11 +478,11 @@ glm_4 = Model(
     name = 'glm-4',
     base_provider = 'Zhipu AI',
     best_provider = IterListProvider([
-        CodeNews, 
         glm_3_6b.best_provider, glm_4_9b.best_provider
     ])
 )
 
+
 ### 01-ai ###
 yi_1_5_9b = Model(
     name = 'yi-1.5-9b',
@@ -427,6 +490,13 @@ yi_1_5_9b = Model(
     best_provider = IterListProvider([FreeChatgpt])
 )
 
+yi_34b = Model(
+    name = 'yi-34b',
+    base_provider = '01-ai',
+    best_provider = IterListProvider([Airforce])
+)
+
+
 ### Upstage ###
 solar_1_mini = Model(
     name = 'solar-1-mini',
@@ -440,47 +510,38 @@ solar_10_7b = Model(
     best_provider = Airforce
 )
 
+solar_pro = Model(
+    name = 'solar-pro',
+    base_provider = 'Upstage',
+    best_provider = Upstage
+)
+
 
-### Pi ###
+### Inflection ###
 pi = Model(
     name = 'pi',
-    base_provider = 'inflection',
+    base_provider = 'Inflection',
     best_provider = Pi
 )
 
-### SambaNova ###
-samba_coe_v0_1 = Model(
-    name = 'samba-coe-v0.1',
-    base_provider = 'SambaNova',
-    best_provider = Snova
-)
-
-### Trong-Hieu Nguyen-Mau ###
-v1olet_merged_7b = Model(
-    name = 'v1olet-merged-7b',
-    base_provider = 'Trong-Hieu Nguyen-Mau',
-    best_provider = Snova
-)
-
-### Macadeliccc ###
-westlake_7b_v2 = Model(
-    name = 'westlake-7b-v2',
-    base_provider = 'Macadeliccc',
-    best_provider = Snova
-)
-
 ### DeepSeek ###
 deepseek = Model(
     name = 'deepseek',
     base_provider = 'DeepSeek',
-    best_provider = IterListProvider([CodeNews, Airforce])
+    best_provider = IterListProvider([Airforce])
 )
 
 ### WizardLM ###
+wizardlm_2_7b = Model(
+    name = 'wizardlm-2-7b',
+    base_provider = 'WizardLM',
+    best_provider = IterListProvider([DeepInfraChat])
+)
+
 wizardlm_2_8x22b = Model(
     name = 'wizardlm-2-8x22b',
     base_provider = 'WizardLM',
-    best_provider = Airforce
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
 ### Together ###
@@ -490,6 +551,7 @@ sh_n_7b = Model(
     best_provider = Airforce
 )
 
+
 ### Yorickvp ###
 llava_13b = Model(
     name = 'llava-13b',
@@ -497,6 +559,62 @@ llava_13b = Model(
     best_provider = ReplicateHome
 )
 
+
+### OpenBMB ###
+minicpm_llama_3_v2_5 = Model(
+    name = 'minicpm-llama-3-v2.5',
+    base_provider = 'OpenBMB',
+    best_provider = DeepInfraChat
+)
+
+
+### Lzlv ###
+lzlv_70b = Model(
+    name = 'lzlv-70b',
+    base_provider = 'Lzlv',
+    best_provider = DeepInfraChat
+)
+
+
+### OpenChat ###
+openchat_3_6_8b = Model(
+    name = 'openchat-3.6-8b',
+    base_provider = 'OpenChat',
+    best_provider = DeepInfraChat
+)
+
+
+### Phind ###
+phind_codellama_34b_v2 = Model(
+    name = 'phind-codellama-34b-v2',
+    base_provider = 'Phind',
+    best_provider = DeepInfraChat
+)
+
+
+### Cognitive Computations ###
+dolphin_2_9_1_llama_3_70b = Model(
+    name = 'dolphin-2.9.1-llama-3-70b',
+    base_provider = 'Cognitive Computations',
+    best_provider = DeepInfraChat
+)
+
+
+### x.ai ###
+grok_2 = Model(
+    name = 'grok-2',
+    base_provider = 'x.ai',
+    best_provider = Liaobots
+)
+
+grok_2_mini = Model(
+    name = 'grok-2-mini',
+    base_provider = 'x.ai',
+    best_provider = Liaobots
+)
+
+
+
 #############
 ### Image ###
 #############
@@ -516,10 +634,11 @@ sd_3 = Model(
     
 )
 
+
 ### Playground ###
 playground_v2_5 = Model(
     name = 'playground-v2.5',
-    base_provider = 'Stability AI',
+    base_provider = 'Playground AI',
     best_provider = IterListProvider([ReplicateHome])
     
 )
@@ -528,7 +647,7 @@ playground_v2_5 = Model(
 flux = Model(
     name = 'flux',
     base_provider = 'Flux AI',
-    best_provider = IterListProvider([Airforce])
+    best_provider = IterListProvider([Airforce, Blackbox])
     
 )
 
@@ -567,6 +686,13 @@ flux_pixel = Model(
     
 )
 
+flux_4o = Model(
+    name = 'flux-4o',
+    base_provider = 'Flux AI',
+    best_provider = IterListProvider([Airforce])
+    
+)
+
 flux_schnell = Model(
     name = 'flux-schnell',
     base_provider = 'Flux AI',
@@ -574,18 +700,28 @@ flux_schnell = Model(
     
 )
 
+
 ### ###
-dalle = Model(
-    name = 'dalle',
+dalle_2 = Model(
+    name = 'dalle-2',
     base_provider = '',
     best_provider = IterListProvider([Nexra])
     
 )
+dalle_3 = Model(
+    name = 'dalle-3',
+    base_provider = '',
+    best_provider = IterListProvider([Airforce])
+    
+)
 
-dalle_2 = Model(
-    name = 'dalle-2',
+dalle = Model(
+    name = 'dalle',
     base_provider = '',
-    best_provider = IterListProvider([Nexra])
+    best_provider = IterListProvider([
+        Nexra,
+        dalle_2.best_provider, dalle_3.best_provider,
+   ])
     
 )
 
@@ -596,6 +732,7 @@ dalle_mini = Model(
     
 )
 
+### ###
 emi = Model(
     name = 'emi',
     base_provider = '',
@@ -631,10 +768,14 @@ class ModelUtils:
 'gpt-3.5-turbo': gpt_35_turbo,
 
 # gpt-4
-'gpt-4o'         : gpt_4o,
-'gpt-4o-mini'    : gpt_4o_mini,
-'gpt-4'          : gpt_4,
-'gpt-4-turbo'    : gpt_4_turbo,
+'gpt-4o': gpt_4o,
+'gpt-4o-mini': gpt_4o_mini,
+'gpt-4': gpt_4,
+'gpt-4-turbo': gpt_4_turbo,
+
+# o1
+'o1': o1,
+'o1-mini': o1_mini,
         
         
 ### Meta ###
@@ -644,10 +785,12 @@ class ModelUtils:
 'llama-2-13b': llama_2_13b,
 
 # llama-3
+'llama-3': llama_3,
 'llama-3-8b': llama_3_8b,
 'llama-3-70b': llama_3_70b,
         
 # llama-3.1
+'llama-3.1': llama_3_1,
 'llama-3.1-8b': llama_3_1_8b,
 'llama-3.1-70b': llama_3_1_70b,
 'llama-3.1-405b': llama_3_1_405b,
@@ -667,6 +810,7 @@ class ModelUtils:
         
 ### Microsoft ###
 'phi-3-mini-4k': phi_3_mini_4k,
+'phi_3_medium-4k': phi_3_medium_4k,
 
 
 ### Google ###
@@ -685,18 +829,23 @@ class ModelUtils:
 'claude-2': claude_2,
 'claude-2.0': claude_2_0,
 'claude-2.1': claude_2_1,
-        
+
+# claude 3
+'claude-3': claude_3,
 'claude-3-opus': claude_3_opus,
 'claude-3-sonnet': claude_3_sonnet,
 'claude-3-haiku': claude_3_haiku,
-'claude-3-5-sonnet': claude_3_5_sonnet,
+
+# claude 3.5
+'claude-3.5': claude_3_5,
+'claude-3.5-sonnet': claude_3_5_sonnet,
         
         
 ### Reka AI ###
 'reka-core': reka_core,
       
         
-### Blackbox ###
+### Blackbox AI ###
 'blackbox': blackbox,
         
         
@@ -717,6 +866,7 @@ class ModelUtils:
         
         
 ### Qwen ###
+'qwen': qwen,
 'qwen-1.5-14b': qwen_1_5_14b,
 'qwen-1.5-72b': qwen_1_5_72b,
 'qwen-1.5-110b': qwen_1_5_110b,
@@ -737,24 +887,12 @@ class ModelUtils:
 ### Upstage ###
 'solar-1-mini': solar_1_mini,
 'solar-10-7b': solar_10_7b,
+'solar-pro': solar_pro,
 
 
-### Pi ###
+### Inflection ###
 'pi': pi,
 
-
-### SambaNova ###
-'samba-coe-v0.1': samba_coe_v0_1,
-
-
-### Trong-Hieu Nguyen-Mau ###
-'v1olet-merged-7b': v1olet_merged_7b,
-
-
-### Macadeliccc ###
-'westlake-7b-v2': westlake_7b_v2,
-
-
 ### DeepSeek ###
 'deepseek': deepseek,
 
@@ -765,6 +903,36 @@ class ModelUtils:
         
 ### Yorickvp ###
 'llava-13b': llava_13b,
+
+
+### WizardLM ###
+'wizardlm-2-7b': wizardlm_2_7b,
+'wizardlm-2-8x22b': wizardlm_2_8x22b,
+      
+        
+### OpenBMB ###
+'minicpm-llama-3-v2.5': minicpm_llama_3_v2_5,
+        
+        
+### Lzlv ###
+'lzlv-70b': lzlv_70b,
+     
+        
+### OpenChat ###
+'openchat-3.6-8b': openchat_3_6_8b,
+
+
+### Phind ###
+'phind-codellama-34b-v2': phind_codellama_34b_v2,
+        
+        
+### Cognitive Computations ###
+'dolphin-2.9.1-llama-3-70b': dolphin_2_9_1_llama_3_70b,
+    
+        
+### x.ai ###
+'grok-2': grok_2,
+'grok-2-mini': grok_2_mini,
         
         
         
@@ -788,12 +956,14 @@ class ModelUtils:
 'flux-3d': flux_3d,
 'flux-disney': flux_disney,
 'flux-pixel': flux_pixel,
+'flux-4o': flux_4o,
 'flux-schnell': flux_schnell,
 
 
 ###  ###
 'dalle': dalle,
 'dalle-2': dalle_2,
+'dalle-3': dalle_3,
 'dalle-mini': dalle_mini,
 'emi': emi,
 'any-dark': any_dark,