15 files changed, 966 insertions, 0 deletions

diff --git a/g4f/Provider/deprecated/AiService.py b/g4f/Provider/deprecated/AiService.py
new file mode 100644
index 00000000..9b41e3c8
--- /dev/null
+++ b/g4f/Provider/deprecated/AiService.py
@@ -0,0 +1,36 @@
+from __future__ import annotations
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class AiService(BaseProvider):
+    url = "https://aiservice.vercel.app/"
+    working = False
+    supports_gpt_35_turbo = True
+
+    @staticmethod
+    def create_completion(
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool,
+        **kwargs: Any,
+    ) -> CreateResult:
+        base = "\n".join(f"{message['role']}: {message['content']}" for message in messages)
+        base += "\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/CodeLinkAva.py b/g4f/Provider/deprecated/CodeLinkAva.py
new file mode 100644
index 00000000..8407ebb9
--- /dev/null
+++ b/g4f/Provider/deprecated/CodeLinkAva.py
@@ -0,0 +1,64 @@
+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"            : 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
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/DfeHub.py b/g4f/Provider/deprecated/DfeHub.py
new file mode 100644
index 00000000..4ea7501f
--- /dev/null
+++ b/g4f/Provider/deprecated/DfeHub.py
@@ -0,0 +1,77 @@
+from __future__ import annotations
+
+import json
+import re
+import time
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class DfeHub(BaseProvider):
+    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"])
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+            ("presence_penalty", "int"),
+            ("frequency_penalty", "int"),
+            ("top_p", "int"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
diff --git a/g4f/Provider/deprecated/EasyChat.py b/g4f/Provider/deprecated/EasyChat.py
new file mode 100644
index 00000000..ffe9a785
--- /dev/null
+++ b/g4f/Provider/deprecated/EasyChat.py
@@ -0,0 +1,111 @@
+from __future__ import annotations
+
+import json
+import random
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class EasyChat(BaseProvider):
+    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:
+            
+            if stream == False:
+                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"]
+                        else:
+                            continue
+        else:
+            raise Exception(f"Error {response.status_code} from server : {response.reason}")
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+            ("presence_penalty", "int"),
+            ("frequency_penalty", "int"),
+            ("top_p", "int"),
+            ("active_server", "int"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
diff --git a/g4f/Provider/deprecated/Equing.py b/g4f/Provider/deprecated/Equing.py
new file mode 100644
index 00000000..794274f2
--- /dev/null
+++ b/g4f/Provider/deprecated/Equing.py
@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+import json
+from abc import ABC, abstractmethod
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class Equing(BaseProvider):
+    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
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/FastGpt.py b/g4f/Provider/deprecated/FastGpt.py
new file mode 100644
index 00000000..65efa29d
--- /dev/null
+++ b/g4f/Provider/deprecated/FastGpt.py
@@ -0,0 +1,87 @@
+from __future__ import annotations
+
+import json
+import random
+from abc import ABC, abstractmethod
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class FastGpt(BaseProvider):
+    url: str                = 'https://chat9.fastgpt.me/'
+    working                 = False
+    needs_auth              = 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'         : '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
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Forefront.py b/g4f/Provider/deprecated/Forefront.py
new file mode 100644
index 00000000..2f807e91
--- /dev/null
+++ b/g4f/Provider/deprecated/Forefront.py
@@ -0,0 +1,40 @@
+from __future__ import annotations
+
+import json
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class Forefront(BaseProvider):
+    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/GetGpt.py b/g4f/Provider/deprecated/GetGpt.py
new file mode 100644
index 00000000..a5de1d29
--- /dev/null
+++ b/g4f/Provider/deprecated/GetGpt.py
@@ -0,0 +1,88 @@
+from __future__ import annotations
+
+import json
+import os
+import uuid
+
+import requests
+from Crypto.Cipher import AES
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class GetGpt(BaseProvider):
+    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'])
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ('model', 'str'),
+            ('messages', 'list[dict[str, str]]'),
+            ('stream', 'bool'),
+            ('temperature', 'float'),
+            ('presence_penalty', 'int'),
+            ('frequency_penalty', 'int'),
+            ('top_p', 'int'),
+            ('max_tokens', 'int'),
+        ]
+        param = ', '.join([': '.join(p) for p in params])
+        return f'g4f.provider.{cls.__name__} supports: ({param})'
+
+
+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')
+
+
+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
diff --git a/g4f/Provider/deprecated/Lockchat.py b/g4f/Provider/deprecated/Lockchat.py
new file mode 100644
index 00000000..4bd7c5fe
--- /dev/null
+++ b/g4f/Provider/deprecated/Lockchat.py
@@ -0,0 +1,64 @@
+from __future__ import annotations
+
+import json
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class Lockchat(BaseProvider):
+    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)
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
diff --git a/g4f/Provider/deprecated/Opchatgpts.py b/g4f/Provider/deprecated/Opchatgpts.py
new file mode 100644
index 00000000..3bfb96f1
--- /dev/null
+++ b/g4f/Provider/deprecated/Opchatgpts.py
@@ -0,0 +1,8 @@
+from __future__ import annotations
+
+from ..ChatgptLogin import ChatgptLogin
+
+
+class Opchatgpts(ChatgptLogin):
+    url     = "https://opchatgpts.net"
+    working = True
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/PerplexityAi.py b/g4f/Provider/deprecated/PerplexityAi.py
new file mode 100644
index 00000000..f4f71712
--- /dev/null
+++ b/g4f/Provider/deprecated/PerplexityAi.py
@@ -0,0 +1,101 @@
+from __future__ import annotations
+
+import json
+import time
+import base64
+from curl_cffi.requests import AsyncSession
+
+from ..base_provider import AsyncProvider, format_prompt, get_cookies
+
+
+class PerplexityAi(AsyncProvider):
+    url                   = "https://www.perplexity.ai"
+    working               = False
+    supports_gpt_35_turbo = True
+    _sources              = []
+
+    @classmethod
+    async def create_async(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        proxy: str = None,
+        **kwargs
+    ) -> str:
+        url = cls.url + "/socket.io/?EIO=4&transport=polling"
+        headers = {
+            "Referer": f"{cls.url}/"
+        }
+        async with AsyncSession(headers=headers, proxies={"https": proxy}, impersonate="chrome107") as session:
+            url_session = "https://www.perplexity.ai/api/auth/session"
+            response = await session.get(url_session)
+            response.raise_for_status()
+
+            url_session = "https://www.perplexity.ai/api/auth/session"
+            response = await session.get(url_session)
+            response.raise_for_status()
+
+            response = await session.get(url, params={"t": timestamp()})
+            response.raise_for_status()
+            sid = json.loads(response.text[1:])["sid"]
+
+            response = await session.get(url, params={"t": timestamp(), "sid": sid})
+            response.raise_for_status()
+
+            data = '40{"jwt":"anonymous-ask-user"}'
+            response = await session.post(url, params={"t": timestamp(), "sid": sid}, data=data)
+            response.raise_for_status()
+
+            response = await session.get(url, params={"t": timestamp(), "sid": sid})
+            response.raise_for_status()
+
+            data = "424" + json.dumps([
+                "perplexity_ask",
+                format_prompt(messages),
+                {
+                    "version":"2.1",
+                    "source":"default",
+                    "language":"en",
+                    "timezone": time.tzname[0],
+                    "search_focus":"internet",
+                    "mode":"concise"
+                }
+            ])
+            response = await session.post(url, params={"t": timestamp(), "sid": sid}, data=data)
+            response.raise_for_status()
+
+            while True:
+                response = await session.get(url, params={"t": timestamp(), "sid": sid})
+                response.raise_for_status()
+                for line in response.text.splitlines():
+                    if line.startswith("434"):
+                        result = json.loads(json.loads(line[3:])[0]["text"])
+
+                        cls._sources = [{
+                            "title": source["name"],
+                            "url": source["url"],
+                            "snippet": source["snippet"]
+                        } for source in result["web_results"]]
+
+                        return result["answer"]
+
+    @classmethod
+    def get_sources(cls):
+        return cls._sources
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("proxy", "str"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
+
+
+def timestamp() -> str:
+    return base64.urlsafe_b64encode(int(time.time()-1407782612).to_bytes(4, 'big')).decode()
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/V50.py b/g4f/Provider/deprecated/V50.py
new file mode 100644
index 00000000..9a8b032c
--- /dev/null
+++ b/g4f/Provider/deprecated/V50.py
@@ -0,0 +1,67 @@
+from __future__ import annotations
+
+import uuid
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider
+
+
+class V50(BaseProvider):
+    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)
+        conversation += "\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['proxy'] if 'proxy' in kwargs else {})
+        
+        if "https://fk1.v50.ltd" not in response.text:
+            yield response.text
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+            ("top_p", "int"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Wewordle.py b/g4f/Provider/deprecated/Wewordle.py
new file mode 100644
index 00000000..c30887fb
--- /dev/null
+++ b/g4f/Provider/deprecated/Wewordle.py
@@ -0,0 +1,65 @@
+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
new file mode 100644
index 00000000..311131cf
--- /dev/null
+++ b/g4f/Provider/deprecated/Wuguokai.py
@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+import random
+
+import requests
+
+from ...typing import Any, CreateResult
+from ..base_provider import BaseProvider, format_prompt
+
+
+class Wuguokai(BaseProvider):
+    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['proxy'] if 'proxy' in kwargs else {})
+        _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:
+            if len(_split) > 1:
+                yield _split[1].strip()
+            else:
+                yield _split[0].strip()
+        else:
+            raise Exception(f"Error: {response.status_code} {response.reason}")
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool")
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/__init__.py b/g4f/Provider/deprecated/__init__.py
new file mode 100644
index 00000000..8d22a3c3
--- /dev/null
+++ b/g4f/Provider/deprecated/__init__.py
@@ -0,0 +1,14 @@
+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 .Opchatgpts    import Opchatgpts
+from .Lockchat      import Lockchat
+from .PerplexityAi  import PerplexityAi
+from .Wewordle      import Wewordle
+from .Equing        import Equing
+from .Wuguokai      import Wuguokai
+from .V50           import V50
+from .FastGpt       import FastGpt
\ No newline at end of file