13 files changed, 1126 insertions, 0 deletions

diff --git a/g4f/Provider/not_working/Ai4Chat.py b/g4f/Provider/not_working/Ai4Chat.py
new file mode 100644
index 00000000..584c878a
--- /dev/null
+++ b/g4f/Provider/not_working/Ai4Chat.py
@@ -0,0 +1,88 @@
+from __future__ import annotations
+
+import json
+import re
+import logging
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+
+class Ai4Chat(AsyncGeneratorProvider, ProviderModelMixin):
+    label = "AI4Chat"
+    url = "https://www.ai4chat.co"
+    api_endpoint = "https://www.ai4chat.co/generate-response"
+    working = True
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
+    
+    default_model = 'gpt-4'
+    models = [default_model]
+    
+    model_aliases = {}
+
+    @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": "*/*",
+            "accept-language": "en-US,en;q=0.9",
+            "cache-control": "no-cache",
+            "content-type": "application/json",
+            "origin": "https://www.ai4chat.co",
+            "pragma": "no-cache",
+            "priority": "u=1, i",
+            "referer": "https://www.ai4chat.co/gpt/talkdirtytome",
+            "sec-ch-ua": '"Chromium";v="129", "Not=A?Brand";v="8"',
+            "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/129.0.0.0 Safari/537.36"
+        }
+        
+        async with ClientSession(headers=headers) as session:
+            data = {
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": format_prompt(messages)
+                    }
+                ]
+            }
+            
+            try:
+                async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                    response.raise_for_status()
+                    result = await response.text()
+                    
+                    json_result = json.loads(result)
+                    
+                    message = json_result.get("message", "")
+                    
+                    clean_message = re.sub(r'<[^>]+>', '', message)
+                    
+                    yield clean_message
+            except Exception as e:
+                logging.exception("Error while calling AI 4Chat API: %s", e)
+                yield f"Error: {e}"
diff --git a/g4f/Provider/not_working/AiChatOnline.py b/g4f/Provider/not_working/AiChatOnline.py
new file mode 100644
index 00000000..02574501
--- /dev/null
+++ b/g4f/Provider/not_working/AiChatOnline.py
@@ -0,0 +1,61 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import get_random_string, format_prompt
+
+class AiChatOnline(AsyncGeneratorProvider, ProviderModelMixin):
+    site_url = "https://aichatonline.org"
+    url = "https://aichatonlineorg.erweima.ai"
+    api_endpoint = "/aichatonline/api/chat/gpt"
+    working = True
+    default_model = 'gpt-4o-mini'
+
+    @classmethod
+    async def grab_token(
+        cls,
+        session: ClientSession,
+        proxy: str
+    ):
+        async with session.get(f'https://aichatonlineorg.erweima.ai/api/v1/user/getUniqueId?canvas=-{get_random_string()}', proxy=proxy) as response:
+            response.raise_for_status()
+            return (await response.json())['data']
+        
+    @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/119.0",
+            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Referer": f"{cls.url}/chatgpt/chat/",
+            "Content-Type": "application/json",
+            "Origin": cls.url,
+            "Alt-Used": "aichatonline.org",
+            "Connection": "keep-alive",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-origin",
+            "TE": "trailers"
+        }
+        async with ClientSession(headers=headers) as session:
+            data = {
+                "conversationId": get_random_string(),
+                "prompt": format_prompt(messages),
+            }
+            headers['UniqueId'] = await cls.grab_token(session, proxy)
+            async with session.post(f"{cls.url}{cls.api_endpoint}", headers=headers, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for chunk in response.content:
+                    try:
+                        yield json.loads(chunk)['data']['message']
+                    except:
+                        continue
\ No newline at end of file
diff --git a/g4f/Provider/not_working/AiChats.py b/g4f/Provider/not_working/AiChats.py
new file mode 100644
index 00000000..51a85c91
--- /dev/null
+++ b/g4f/Provider/not_working/AiChats.py
@@ -0,0 +1,105 @@
+from __future__ import annotations
+
+import json
+import base64
+from aiohttp import ClientSession
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ...image import ImageResponse
+from ..helper import format_prompt
+
+class AiChats(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://ai-chats.org"
+    api_endpoint = "https://ai-chats.org/chat/send2/"
+    working = False
+    supports_message_history = True
+    default_model = 'gpt-4'
+    models = ['gpt-4', 'dalle']
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "accept": "application/json, 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",
+            "referer": f"{cls.url}/{'image' if model == 'dalle' else 'chat'}/",
+            "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",
+            'cookie': 'muVyak=LSFNvUWqdgKkGprbDBsfieIoEMzjOQ; LSFNvUWqdgKkGprbDBsfieIoEMzjOQ=ac28831b98143847e83dbe004404e619-1725548624-1725548621; muVyak_hits=9; ai-chat-front=9d714d5dc46a6b47607c9a55e7d12a95; _csrf-front=76c23dc0a013e5d1e21baad2e6ba2b5fdab8d3d8a1d1281aa292353f8147b057a%3A2%3A%7Bi%3A0%3Bs%3A11%3A%22_csrf-front%22%3Bi%3A1%3Bs%3A32%3A%22K9lz0ezsNPMNnfpd_8gT5yEeh-55-cch%22%3B%7D',
+        }
+
+        async with ClientSession(headers=headers) as session:
+            if model == 'dalle':
+                prompt = messages[-1]['content'] if messages else ""
+            else:
+                prompt = format_prompt(messages)
+
+            data = {
+                "type": "image" if model == 'dalle' else "chat",
+                "messagesHistory": [
+                    {
+                        "from": "you",
+                        "content": prompt
+                    }
+                ]
+            }
+
+            try:
+                async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                    response.raise_for_status()
+
+                    if model == 'dalle':
+                        response_json = await response.json()
+
+                        if 'data' in response_json and response_json['data']:
+                            image_url = response_json['data'][0].get('url')
+                            if image_url:
+                                async with session.get(image_url) as img_response:
+                                    img_response.raise_for_status()
+                                    image_data = await img_response.read()
+
+                                base64_image = base64.b64encode(image_data).decode('utf-8')
+                                base64_url = f"data:image/png;base64,{base64_image}"
+                                yield ImageResponse(base64_url, prompt)
+                            else:
+                                yield f"Error: No image URL found in the response. Full response: {response_json}"
+                        else:
+                            yield f"Error: Unexpected response format. Full response: {response_json}"
+                    else:
+                        full_response = await response.text()
+                        message = ""
+                        for line in full_response.split('\n'):
+                            if line.startswith('data: ') and line != 'data: ':
+                                message += line[6:]
+
+                        message = message.strip()
+                        yield message
+            except Exception as e:
+                yield f"Error occurred: {str(e)}"
+
+    @classmethod
+    async def create_async(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> str:
+        async for response in cls.create_async_generator(model, messages, proxy, **kwargs):
+            if isinstance(response, ImageResponse):
+                return response.images[0]
+            return response
diff --git a/g4f/Provider/not_working/AmigoChat.py b/g4f/Provider/not_working/AmigoChat.py
new file mode 100644
index 00000000..274a5e14
--- /dev/null
+++ b/g4f/Provider/not_working/AmigoChat.py
@@ -0,0 +1,189 @@
+from __future__ import annotations
+
+import json
+import uuid
+from aiohttp import ClientSession, ClientTimeout, ClientResponseError
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+from ...image import ImageResponse
+
+class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://amigochat.io/chat/"
+    chat_api_endpoint = "https://api.amigochat.io/v1/chat/completions"
+    image_api_endpoint = "https://api.amigochat.io/v1/images/generations"
+    working = False
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
+    
+    default_model = 'gpt-4o-mini'
+    
+    chat_models = [
+        'gpt-4o',
+        default_model,
+        'o1-preview',
+        'o1-mini',
+        'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo',
+        'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
+        'claude-3-sonnet-20240229',
+        'gemini-1.5-pro',
+    ]
+    
+    image_models = [
+        'flux-pro/v1.1',
+        'flux-realism',
+        'flux-pro',
+        'dalle-e-3',
+    ]
+    
+    models = [*chat_models, *image_models]
+    
+    model_aliases = {
+        "o1": "o1-preview",
+        "llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
+        "llama-3.2-90b": "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
+        "claude-3.5-sonnet": "claude-3-sonnet-20240229",
+        "gemini-pro": "gemini-1.5-pro",
+        
+        "flux-pro": "flux-pro/v1.1",
+        "dalle-3": "dalle-e-3",
+    }
+
+    persona_ids = {
+        'gpt-4o': "gpt",
+        'gpt-4o-mini': "amigo",
+        'o1-preview': "openai-o-one",
+        'o1-mini': "openai-o-one-mini",
+        'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo': "llama-three-point-one",
+        'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo': "llama-3-2",
+        'claude-3-sonnet-20240229': "claude",
+        'gemini-1.5-pro': "gemini-1-5-pro",
+        'flux-pro/v1.1': "flux-1-1-pro",
+        'flux-realism': "flux-realism",
+        'flux-pro': "flux-pro",
+        'dalle-e-3': "dalle-three",
+    }
+
+    @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 get_personaId(cls, model: str) -> str:
+        return cls.persona_ids[model]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        stream: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        device_uuid = str(uuid.uuid4())
+        max_retries = 3
+        retry_count = 0
+
+        while retry_count < max_retries:
+            try:
+                headers = {
+                    "accept": "*/*",
+                    "accept-language": "en-US,en;q=0.9",
+                    "authorization": "Bearer",
+                    "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="129", "Not=A?Brand";v="8"',
+                    "sec-ch-ua-mobile": "?0",
+                    "sec-ch-ua-platform": '"Linux"',
+                    "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36",
+                    "x-device-language": "en-US",
+                    "x-device-platform": "web",
+                    "x-device-uuid": device_uuid,
+                    "x-device-version": "1.0.32"
+                }
+                
+                async with ClientSession(headers=headers) as session:
+                    if model in cls.chat_models:
+                        # Chat completion
+                        data = {
+                            "messages": [{"role": m["role"], "content": m["content"]} for m in messages],
+                            "model": model,
+                            "personaId": cls.get_personaId(model),
+                            "frequency_penalty": 0,
+                            "max_tokens": 4000,
+                            "presence_penalty": 0,
+                            "stream": stream,
+                            "temperature": 0.5,
+                            "top_p": 0.95
+                        }
+                        
+                        timeout = ClientTimeout(total=300)  # 5 minutes timeout
+                        async with session.post(cls.chat_api_endpoint, json=data, proxy=proxy, timeout=timeout) as response:
+                            if response.status not in (200, 201):
+                                error_text = await response.text()
+                                raise Exception(f"Error {response.status}: {error_text}")
+                            
+                            async for line in response.content:
+                                line = line.decode('utf-8').strip()
+                                if line.startswith('data: '):
+                                    if line == 'data: [DONE]':
+                                        break
+                                    try:
+                                        chunk = json.loads(line[6:])  # Remove 'data: ' prefix
+                                        if 'choices' in chunk and len(chunk['choices']) > 0:
+                                            choice = chunk['choices'][0]
+                                            if 'delta' in choice:
+                                                content = choice['delta'].get('content')
+                                            elif 'text' in choice:
+                                                content = choice['text']
+                                            else:
+                                                content = None
+                                            if content:
+                                                yield content
+                                    except json.JSONDecodeError:
+                                        pass
+                    else:
+                        # Image generation
+                        prompt = messages[-1]['content']
+                        data = {
+                            "prompt": prompt,
+                            "model": model,
+                            "personaId": cls.get_personaId(model)
+                        }
+                        async with session.post(cls.image_api_endpoint, json=data, proxy=proxy) as response:
+                            response.raise_for_status()
+                            
+                            response_data = await response.json()
+                            
+                            if "data" in response_data:
+                                image_urls = []
+                                for item in response_data["data"]:
+                                    if "url" in item:
+                                        image_url = item["url"]
+                                        image_urls.append(image_url)
+                                if image_urls:
+                                    yield ImageResponse(image_urls, prompt)
+                            else:
+                                yield None
+                
+                break
+            
+            except (ClientResponseError, Exception) as e:
+                retry_count += 1
+                if retry_count >= max_retries:
+                    raise e
+                device_uuid = str(uuid.uuid4())
diff --git a/g4f/Provider/not_working/Aura.py b/g4f/Provider/not_working/Aura.py
new file mode 100644
index 00000000..e841d909
--- /dev/null
+++ b/g4f/Provider/not_working/Aura.py
@@ -0,0 +1,49 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider
+from ...requests import get_args_from_browser
+from ...webdriver import WebDriver
+
+class Aura(AsyncGeneratorProvider):
+    url = "https://openchat.team"
+    working = False
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        temperature: float = 0.5,
+        max_tokens: int = 8192,
+        webdriver: WebDriver = None,
+        **kwargs
+    ) -> AsyncResult:
+        args = get_args_from_browser(cls.url, webdriver, proxy)
+        async with ClientSession(**args) as session:
+            new_messages = []
+            system_message = []
+            for message in messages:
+                if message["role"] == "system":
+                    system_message.append(message["content"])
+                else:
+                    new_messages.append(message)
+            data = {
+                "model": {
+                    "id": "openchat_3.6",
+                    "name": "OpenChat 3.6 (latest)",
+                    "maxLength": 24576,
+                    "tokenLimit": max_tokens
+                },
+                "messages": new_messages,
+                "key": "",
+                "prompt": "\n".join(system_message),
+                "temperature": temperature
+            }
+            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")
diff --git a/g4f/Provider/not_working/Chatgpt4o.py b/g4f/Provider/not_working/Chatgpt4o.py
new file mode 100644
index 00000000..61ccaa16
--- /dev/null
+++ b/g4f/Provider/not_working/Chatgpt4o.py
@@ -0,0 +1,88 @@
+from __future__ import annotations
+
+import re
+from ...requests import StreamSession, raise_for_status
+from ...typing import Messages
+from ..base_provider import AsyncProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+
+class Chatgpt4o(AsyncProvider, ProviderModelMixin):
+    url = "https://chatgpt4o.one"
+    working = True
+    _post_id = None
+    _nonce = None
+    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
+    async def create_async(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        timeout: int = 120,
+        cookies: dict = None,
+        **kwargs
+    ) -> str:
+        headers = {
+            'authority': 'chatgpt4o.one',
+            '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': 'https://chatgpt4o.one',
+            'referer': 'https://chatgpt4o.one',
+            '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 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
+        }
+
+        async with StreamSession(
+            headers=headers,
+            cookies=cookies,
+            impersonate="chrome",
+            proxies={"all": proxy},
+            timeout=timeout
+        ) as session:
+
+            if not cls._post_id or not cls._nonce:
+                async with session.get(f"{cls.url}/") as response:
+                    await raise_for_status(response)
+                    response_text = await response.text()
+
+                    post_id_match = re.search(r'data-post-id="([0-9]+)"', response_text)
+                    nonce_match = re.search(r'data-nonce="(.*?)"', response_text)
+
+                    if not post_id_match:
+                        raise RuntimeError("No post ID found")
+                    cls._post_id = post_id_match.group(1)
+
+                    if not nonce_match:
+                        raise RuntimeError("No nonce found")
+                    cls._nonce = nonce_match.group(1)
+
+            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, cookies=cookies) as response:
+                await raise_for_status(response)
+                response_json = await response.json()
+                if "data" not in response_json:
+                    raise RuntimeError("Unexpected response structure: 'data' field missing")
+                return response_json["data"]
diff --git a/g4f/Provider/not_working/ChatgptFree.py b/g4f/Provider/not_working/ChatgptFree.py
new file mode 100644
index 00000000..6b3877b1
--- /dev/null
+++ b/g4f/Provider/not_working/ChatgptFree.py
@@ -0,0 +1,106 @@
+from __future__ import annotations
+
+import re
+import json
+import asyncio
+from ...requests import StreamSession, raise_for_status
+from ...typing import Messages, AsyncGenerator
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+class ChatgptFree(AsyncGeneratorProvider, ProviderModelMixin):
+    url                   = "https://chatgptfree.ai"
+    working               = False
+    _post_id              = None
+    _nonce                = None
+    default_model = 'gpt-4o-mini-2024-07-18'
+    models = [default_model]
+    model_aliases = {
+        "gpt-4o-mini": "gpt-4o-mini-2024-07-18",
+    }
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        timeout: int = 120,
+        cookies: dict = None,
+        **kwargs
+    ) -> AsyncGenerator[str, None]:
+        headers = {
+            'authority': 'chatgptfree.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',
+            'origin': 'https://chatgptfree.ai',
+            'referer': 'https://chatgptfree.ai/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 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
+        }
+
+        async with StreamSession(
+                headers=headers,
+                cookies=cookies,
+                impersonate="chrome",
+                proxies={"all": proxy},
+                timeout=timeout
+            ) as session:
+
+            if not cls._nonce:
+                async with session.get(f"{cls.url}/") as response:
+                    await raise_for_status(response)
+                    response = await response.text()
+
+                    result = re.search(r'data-post-id="([0-9]+)"', response)
+                    if not result:
+                        raise RuntimeError("No post id found")
+                    cls._post_id = result.group(1)
+
+                    result = re.search(r'data-nonce="(.*?)"', response)
+                    if result:
+                        cls._nonce = result.group(1)
+                    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, cookies=cookies) as response:
+                await raise_for_status(response)
+                buffer = ""
+                async for line in response.iter_lines():
+                    line = line.decode('utf-8').strip()
+                    if line.startswith('data: '):
+                        data = line[6:]
+                        if data == '[DONE]':
+                            break
+                        try:
+                            json_data = json.loads(data)
+                            content = json_data['choices'][0]['delta'].get('content', '')
+                            if content:
+                                yield content
+                        except json.JSONDecodeError:
+                            continue
+                    elif line:
+                        buffer += line
+
+                if buffer:
+                    try:
+                        json_response = json.loads(buffer)
+                        if 'data' in json_response:
+                            yield json_response['data']
+                    except json.JSONDecodeError:
+                        print(f"Failed to decode final JSON. Buffer content: {buffer}")
diff --git a/g4f/Provider/not_working/FlowGpt.py b/g4f/Provider/not_working/FlowGpt.py
new file mode 100644
index 00000000..b7d8537a
--- /dev/null
+++ b/g4f/Provider/not_working/FlowGpt.py
@@ -0,0 +1,101 @@
+from __future__ import annotations
+
+import json
+import time
+import hashlib
+from aiohttp import ClientSession
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import get_random_hex, get_random_string
+from ...requests.raise_for_status import raise_for_status
+
+class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://flowgpt.com/chat"
+    working = False
+    supports_message_history = True
+    supports_system_message = True
+    default_model = "gpt-3.5-turbo"
+    models = [
+        "gpt-3.5-turbo",
+        "gpt-3.5-long",
+        "gpt-4-turbo",
+        "google-gemini",
+        "claude-instant",
+        "claude-v1",
+        "claude-v2",
+        "llama2-13b",
+        "mythalion-13b",
+        "pygmalion-13b",
+        "chronos-hermes-13b",
+        "Mixtral-8x7B",
+        "Dolphin-2.6-8x7B",
+    ]
+    model_aliases = {
+        "gemini": "google-gemini",
+        "gemini-pro": "google-gemini"
+    }
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        temperature: float = 0.7,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        timestamp = str(int(time.time()))
+        auth = "Bearer null"
+        nonce = get_random_hex()
+        data = f"{timestamp}-{nonce}-{auth}"
+        signature = hashlib.md5(data.encode()).hexdigest()
+
+        headers = {
+            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0",
+            "Accept": "*/*",
+            "Accept-Language": "en-US;q=0.7,en;q=0.3",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Referer": "https://flowgpt.com/",
+            "Content-Type": "application/json",
+            "Authorization": "Bearer null",
+            "Origin": "https://flowgpt.com",
+            "Connection": "keep-alive",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-site",
+            "TE": "trailers",
+            "Authorization": auth,
+            "x-flow-device-id": f"f-{get_random_string(19)}",
+            "x-nonce": nonce,
+            "x-signature": signature,
+            "x-timestamp": timestamp
+        }
+        async with ClientSession(headers=headers) as session:
+            history = [message for message in messages[:-1] if message["role"] != "system"]
+            system_message = "\n".join([message["content"] for message in messages if message["role"] == "system"])
+            if not system_message:
+                system_message = "You are helpful assistant. Follow the user's instructions carefully."
+            data = {
+                "model": model,
+                "nsfw": False,
+                "question": messages[-1]["content"],
+                "history": [{"role": "assistant", "content": "Hello, how can I help you today?"}, *history],
+                "system": system_message,
+                "temperature": temperature,
+                "promptId": f"model-{model}",
+                "documentIds": [],
+                "chatFileDocumentIds": [],
+                "generateImage": False,
+                "generateAudio": False
+            }
+            async with session.post("https://prod-backend-k8s.flowgpt.com/v3/chat-anonymous", json=data, proxy=proxy) as response:
+                await raise_for_status(response)
+                async for chunk in response.content:
+                    if chunk.strip():
+                        message = json.loads(chunk)
+                        if "event" not in message:
+                            continue
+                        if message["event"] == "text":
+                            yield message["data"]
diff --git a/g4f/Provider/not_working/FreeNetfly.py b/g4f/Provider/not_working/FreeNetfly.py
new file mode 100644
index 00000000..8362019c
--- /dev/null
+++ b/g4f/Provider/not_working/FreeNetfly.py
@@ -0,0 +1,105 @@
+from __future__ import annotations
+
+import json
+import asyncio
+from aiohttp import ClientSession, ClientTimeout, ClientError
+from typing import AsyncGenerator
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+
+
+class FreeNetfly(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://free.netfly.top"
+    api_endpoint = "/api/openai/v1/chat/completions"
+    working = False
+    default_model = 'gpt-3.5-turbo'
+    models = [
+        'gpt-3.5-turbo',
+        'gpt-4',
+    ]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "accept": "application/json, text/event-stream",
+            "accept-language": "en-US,en;q=0.9",
+            "content-type": "application/json",
+            "dnt": "1",
+            "origin": cls.url,
+            "referer": f"{cls.url}/",
+            "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"',
+            "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/126.0.0.0 Safari/537.36",
+        }
+        data = {
+            "messages": messages,
+            "stream": True,
+            "model": model,
+            "temperature": 0.5,
+            "presence_penalty": 0,
+            "frequency_penalty": 0,
+            "top_p": 1
+        }
+        
+        max_retries = 5
+        retry_delay = 2
+
+        for attempt in range(max_retries):
+            try:
+                async with ClientSession(headers=headers) as session:
+                    timeout = ClientTimeout(total=60)
+                    async with session.post(f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy, timeout=timeout) as response:
+                        response.raise_for_status()
+                        async for chunk in cls._process_response(response):
+                            yield chunk
+                        return  # If successful, exit the function
+            except (ClientError, asyncio.TimeoutError) as e:
+                if attempt == max_retries - 1:
+                    raise  # If all retries failed, raise the last exception
+                await asyncio.sleep(retry_delay)
+                retry_delay *= 2  # Exponential backoff
+
+    @classmethod
+    async def _process_response(cls, response) -> AsyncGenerator[str, None]:
+        buffer = ""
+        async for line in response.content:
+            buffer += line.decode('utf-8')
+            if buffer.endswith('\n\n'):
+                for subline in buffer.strip().split('\n'):
+                    if subline.startswith('data: '):
+                        if subline == 'data: [DONE]':
+                            return
+                        try:
+                            data = json.loads(subline[6:])
+                            content = data['choices'][0]['delta'].get('content')
+                            if content:
+                                yield content
+                        except json.JSONDecodeError:
+                            print(f"Failed to parse JSON: {subline}")
+                        except KeyError:
+                            print(f"Unexpected JSON structure: {data}")
+                buffer = ""
+        
+        # Process any remaining data in the buffer
+        if buffer:
+            for subline in buffer.strip().split('\n'):
+                if subline.startswith('data: ') and subline != 'data: [DONE]':
+                    try:
+                        data = json.loads(subline[6:])
+                        content = data['choices'][0]['delta'].get('content')
+                        if content:
+                            yield content
+                    except (json.JSONDecodeError, KeyError):
+                        pass
+
diff --git a/g4f/Provider/not_working/GPROChat.py b/g4f/Provider/not_working/GPROChat.py
new file mode 100644
index 00000000..88cb2c03
--- /dev/null
+++ b/g4f/Provider/not_working/GPROChat.py
@@ -0,0 +1,67 @@
+from __future__ import annotations
+import hashlib
+import time
+from aiohttp import ClientSession
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+class GPROChat(AsyncGeneratorProvider, ProviderModelMixin):
+    label = "GPROChat"
+    url = "https://gprochat.com"
+    api_endpoint = "https://gprochat.com/api/generate"
+    working = True
+    supports_stream = True
+    supports_message_history = True
+    default_model = 'gemini-pro'
+
+    @staticmethod
+    def generate_signature(timestamp: int, message: str) -> str:
+        secret_key = "2BC120D4-BB36-1B60-26DE-DB630472A3D8"
+        hash_input = f"{timestamp}:{message}:{secret_key}"
+        signature = hashlib.sha256(hash_input.encode('utf-8')).hexdigest()
+        return signature
+
+    @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)
+        timestamp = int(time.time() * 1000)
+        prompt = format_prompt(messages)
+        sign = cls.generate_signature(timestamp, prompt)
+
+        headers = {
+            "accept": "*/*",
+            "origin": cls.url,
+            "referer": f"{cls.url}/",
+            "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36",
+            "content-type": "text/plain;charset=UTF-8"
+        }
+        
+        data = {
+            "messages": [{"role": "user", "parts": [{"text": prompt}]}],
+            "time": timestamp,
+            "pass": None,
+            "sign": sign
+        }
+
+        async with ClientSession(headers=headers) as session:
+            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for chunk in response.content.iter_any():
+                    if chunk:
+                        yield chunk.decode()
diff --git a/g4f/Provider/not_working/Koala.py b/g4f/Provider/not_working/Koala.py
new file mode 100644
index 00000000..d6230da7
--- /dev/null
+++ b/g4f/Provider/not_working/Koala.py
@@ -0,0 +1,79 @@
+from __future__ import annotations
+
+import json
+from typing import AsyncGenerator, Optional, List, Dict, Union, Any
+from aiohttp import ClientSession, BaseConnector, ClientResponse
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import get_random_string, get_connector
+from ...requests import raise_for_status
+
+class Koala(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://koala.sh/chat"
+    api_endpoint = "https://koala.sh/api/gpt/"
+    working = False
+    supports_message_history = True
+    default_model = 'gpt-4o-mini'
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: Optional[str] = None,
+        connector: Optional[BaseConnector] = None,
+        **kwargs: Any
+    ) -> AsyncGenerator[Dict[str, Union[str, int, float, List[Dict[str, Any]], None]], None]:
+        if not model:
+            model = "gpt-4o-mini"
+
+        headers = {
+            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0",
+            "Accept": "text/event-stream",
+            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Referer": f"{cls.url}",
+            "Flag-Real-Time-Data": "false",
+            "Visitor-ID": get_random_string(20),
+            "Origin": "https://koala.sh",
+            "Alt-Used": "koala.sh",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-origin",
+            "TE": "trailers",
+        }
+
+        async with ClientSession(headers=headers, connector=get_connector(connector, proxy)) as session:
+            input_text = messages[-1]["content"]
+            system_messages = " ".join(
+                message["content"] for message in messages if message["role"] == "system"
+            )
+            if system_messages:
+                input_text += f" {system_messages}"
+
+            data = {
+                "input": input_text,
+                "inputHistory": [
+                    message["content"]
+                    for message in messages[:-1]
+                    if message["role"] == "user"
+                ],
+                "outputHistory": [
+                    message["content"]
+                    for message in messages
+                    if message["role"] == "assistant"
+                ],
+                "model": model,
+            }
+
+            async with session.post(f"{cls.api_endpoint}", json=data, proxy=proxy) as response:
+                await raise_for_status(response)
+                async for chunk in cls._parse_event_stream(response):
+                    yield chunk
+
+    @staticmethod
+    async def _parse_event_stream(response: ClientResponse) -> AsyncGenerator[Dict[str, Any], None]:
+        async for chunk in response.content:
+            if chunk.startswith(b"data: "):
+                yield json.loads(chunk[6:])
diff --git a/g4f/Provider/not_working/MyShell.py b/g4f/Provider/not_working/MyShell.py
new file mode 100644
index 00000000..02e182d4
--- /dev/null
+++ b/g4f/Provider/not_working/MyShell.py
@@ -0,0 +1,76 @@
+from __future__ import annotations
+
+import time, json
+
+from ...typing import CreateResult, Messages
+from ..base_provider import AbstractProvider
+from ..helper import format_prompt
+from ...webdriver import WebDriver, WebDriverSession, bypass_cloudflare
+
+class MyShell(AbstractProvider):
+    url = "https://app.myshell.ai/chat"
+    working = False
+    supports_gpt_35_turbo = True
+    supports_stream = True
+
+    @classmethod
+    def create_completion(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool,
+        proxy: str = None,
+        timeout: int = 120,
+        webdriver: WebDriver = None,
+        **kwargs
+    ) -> CreateResult:
+        with WebDriverSession(webdriver, "", proxy=proxy) as driver:
+            bypass_cloudflare(driver, cls.url, timeout)
+            
+            # Send request with message
+            data = {
+                "botId": "4738",
+                "conversation_scenario": 3,
+                "message": format_prompt(messages),
+                "messageType": 1
+            }
+            script = """
+response = await fetch("https://api.myshell.ai/v1/bot/chat/send_message", {
+    "headers": {
+        "accept": "application/json",
+        "content-type": "application/json",
+        "myshell-service-name": "organics-api",
+        "visitor-id": localStorage.getItem("mix_visitorId")
+    },
+    "body": '{body}',
+    "method": "POST"
+})
+window._reader = response.body.pipeThrough(new TextDecoderStream()).getReader();
+"""
+            driver.execute_script(script.replace("{body}", json.dumps(data)))
+            script = """
+chunk = await window._reader.read();
+if (chunk.done) {
+    return null;
+}
+content = '';
+chunk.value.split('\\n').forEach((line, index) => {
+    if (line.startsWith('data: ')) {
+        try {
+            const data = JSON.parse(line.substring('data: '.length));
+            if ('content' in data) {
+                content += data['content'];
+            }
+        } catch(e) {}
+    }
+});
+return content;
+"""
+            while True:
+                chunk = driver.execute_script(script)
+                if chunk:
+                    yield chunk
+                elif chunk != "":
+                    break
+                else:
+                    time.sleep(0.1)
diff --git a/g4f/Provider/not_working/__init__.py b/g4f/Provider/not_working/__init__.py
new file mode 100644
index 00000000..52c5c538
--- /dev/null
+++ b/g4f/Provider/not_working/__init__.py
@@ -0,0 +1,12 @@
+from .Ai4Chat           import Ai4Chat
+from .AiChatOnline      import AiChatOnline
+from .AiChats           import AiChats
+from .AmigoChat         import AmigoChat
+from .Aura              import Aura
+from .Chatgpt4o         import Chatgpt4o
+from .ChatgptFree       import ChatgptFree
+from .FlowGpt           import FlowGpt
+from .FreeNetfly        import FreeNetfly
+from .GPROChat          import GPROChat
+from .Koala             import Koala
+from .MyShell           import MyShell