Add new providers: Aivvm, Vitalentum and Ylokh

g4f/Provider/Aivvm.py

@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from .base_provider import AsyncGeneratorProvider
+from ..typing import AsyncGenerator
+
+models = {
+    "gpt-4": {
+        "id": "gpt-4",
+        "name": "GPT-4",
+    },
+    "gpt-3.5-turbo": {
+        "id": "gpt-3.5-turbo",
+        "name": "GPT-3.5",
+    },
+    "gpt-3.5-turbo-16k": {
+        "id": "gpt-3.5-turbo-16k",
+        "name": "GPT-3.5-16k",
+    },
+}
+
+class Aivvm(AsyncGeneratorProvider):
+    url                   = "https://chat.aivvm.com"
+    working               = True
+    supports_gpt_35_turbo = True
+    supports_gpt_4        = True
+
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncGenerator:
+        model = model if model else "gpt-3.5-turbo"
+        if model not in models:
+            raise ValueError(f"Model are not supported: {model}")
+        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 = {
+                "temperature": 1,
+                "key": "",
+                "messages": messages,
+                "model": models[model],
+                "prompt": "",
+                **kwargs
+            }
+            async with session.post(cls.url + "/api/chat", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for stream in response.content.iter_any():
+                    yield stream.decode()
+
+
+    @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})"

g4f/Provider/ChatBase.py

@@ -21,8 +21,10 @@ class ChatBase(AsyncGeneratorProvider):
     ) -> AsyncGenerator:
         if model == "gpt-4":
             chat_id = "quran---tafseer-saadi-pdf-wbgknt7zn"
-        elif model == "gpt-3.5-turbo" or True:
+        elif model == "gpt-3.5-turbo" or not model:
             chat_id = "chatbase--1--pdf-p680fxvnm"
+        else:
+            raise ValueError(f"Model are not supported: {model}")
         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"             : "*/*",
@@ -45,9 +47,7 @@ class ChatBase(AsyncGeneratorProvider):
             async with session.post("https://www.chatbase.co/api/fe/chat", json=data) as response:
                 response.raise_for_status()
                 async for stream in response.content.iter_any():
-                    stream = stream.decode()
-                    if stream:
-                        yield stream
+                    yield stream.decode()
 
 
     @classmethod

g4f/Provider/Vercel.py

@@ -55,7 +55,7 @@ class Vercel(AsyncProvider):
 
 def _create_payload(model: str, messages: list[dict[str, str]]) -> dict[str, Any]:
     if model not in model_info:
-        raise RuntimeError(f'Model "{model}" are not supported')
+        raise ValueError(f'Model are not supported: {model}')
     default_params = model_info[model]["default_params"]
     return {
         "messages": messages,

g4f/Provider/Vitalentum.py

@@ -0,0 +1,66 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from .base_provider import AsyncGeneratorProvider
+from ..typing import AsyncGenerator
+
+class Vitalentum(AsyncGeneratorProvider):
+    url                   = "https://app.vitalentum.io"
+    working               = True
+    supports_gpt_35_turbo = True
+
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        proxy: str = None,
+        **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"             : "text/event-stream",
+            "Accept-language"    : "de,en-US;q=0.7,en;q=0.3",
+            "Origin"             : cls.url,
+            "Referer"            : 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(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: ") and not line.startswith("data: [DONE]"):
+                        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})"

g4f/Provider/Ylokh.py

@@ -0,0 +1,76 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from .base_provider import AsyncGeneratorProvider
+from ..typing import AsyncGenerator
+
+class Ylokh(AsyncGeneratorProvider):
+    url                   = "https://chat.ylokh.xyz"
+    working               = True
+    supports_gpt_35_turbo = True
+
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool = True,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncGenerator:
+        model = model if model else "gpt-3.5-turbo"
+        headers = {
+            "User-Agent"         : "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/116.0",
+            "Accept"             : "*/*",
+            "Accept-language"    : "de,en-US;q=0.7,en;q=0.3",
+            "Origin"             : cls.url,
+            "Referer"            : cls.url + "/",
+            "Sec-Fetch-Dest"     : "empty",
+            "Sec-Fetch-Mode"     : "cors",
+            "Sec-Fetch-Site"     : "same-origin",
+        }
+        data = {
+            "messages": messages,
+            "model": model,
+            "temperature": 1,
+            "presence_penalty": 0,
+            "top_p": 1,
+            "frequency_penalty": 0,
+            "allow_fallback": True,
+            "stream": stream,
+            **kwargs
+        }
+        async with ClientSession(
+            headers=headers
+        ) as session:
+            async with session.post("https://chatapi.ylokh.xyz/v1/chat/completions", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                if stream:
+                    async for line in response.content:
+                        line = line.decode()
+                        if line.startswith("data: ") and not line.startswith("data: [DONE]"):
+                            line = json.loads(line[6:-1])
+                            content = line["choices"][0]["delta"].get("content")
+                            if content:
+                                yield content
+                else:
+                    chat = await response.json()
+                    yield chat["choices"][0]["message"].get("content")
+
+
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("proxy", "str"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/You.py

@@ -2,39 +2,39 @@ from __future__ import annotations
 
 import json
 
-from aiohttp import ClientSession
+from curl_cffi.requests import AsyncSession
 
 from ..typing import AsyncGenerator
-from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
+from .base_provider import AsyncGeneratorProvider, format_prompt
 
 
 class You(AsyncGeneratorProvider):
     url = "https://you.com"
     working = True
     supports_gpt_35_turbo = True
-    supports_stream = True
+    supports_stream = False
 
-    @staticmethod
+
+    @classmethod
     async def create_async_generator(
+        cls,
         model: str,
         messages: list[dict[str, str]],
-        cookies: dict = None,
+        proxy: str = None,
         **kwargs,
     ) -> AsyncGenerator:
-        if not cookies:
-            cookies = get_cookies("you.com")
-        headers = {
-            "Accept": "text/event-stream",
-            "Referer": "https://you.com/search?fromSearchBar=true&tbm=youchat",
-            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/116.0"
-        }
-        async with ClientSession(headers=headers, cookies=cookies) as session:
-            async with session.get(
+        async with AsyncSession(proxies={"https": proxy}, impersonate="chrome107") as session:
+            headers = {
+                "Accept": "text/event-stream",
+                "Referer": "https://you.com/search?fromSearchBar=true&tbm=youchat",
+            }
+            response = await session.get(
                 "https://you.com/api/streamingSearch",
                 params={"q": format_prompt(messages), "domain": "youchat", "chat": ""},
-            ) as response:  
-                start = 'data: {"youChatToken": '
-                async for line in response.content:
-                    line = line.decode('utf-8')
-                    if line.startswith(start):
-                        yield json.loads(line[len(start): -2])
+                headers=headers
+            )
+            response.raise_for_status()
+            start = 'data: {"youChatToken": '
+            for line in response.text.splitlines():
+                if line.startswith(start):
+                    yield json.loads(line[len(start): -1])

g4f/Provider/__init__.py

@@ -4,6 +4,7 @@ from .Aichat        import Aichat
 from .Ails          import Ails
 from .AiService     import AiService
 from .AItianhu      import AItianhu
+from .Aivvm         import Aivvm
 from .Bard          import Bard
 from .Bing          import Bing
 from .ChatBase      import ChatBase
@@ -25,7 +26,9 @@ from .OpenAssistant import OpenAssistant
 from .Raycast       import Raycast
 from .Theb          import Theb
 from .Vercel        import Vercel
+from .Vitalentum    import Vitalentum
 from .Wewordle      import Wewordle
+from .Ylokh         import Ylokh
 from .You           import You
 from .Yqcloud       import Yqcloud
 from .Equing        import Equing
@@ -42,6 +45,7 @@ __all__ = [
     'Ails',
     'AiService',
     'AItianhu',
+    'Aivvm',
     'Bard',
     'Bing',
     'ChatBase',
@@ -63,7 +67,9 @@ __all__ = [
     'OpenAssistant',
     'Theb',
     'Vercel',
+    'Vitalentum',
     'Wewordle',
+    'Ylokh',
     'You',
     'Yqcloud',
     'Equing',