AItianhuSpace Provider with GPT 4 added

Reduced chunksize to better text completion

g4f/Provider/Vercel.py

@@ -18,7 +18,13 @@ class Vercel(BaseProvider):
     def create_completion(
         model: str,
         messages: list[dict[str, str]],
-        stream: bool, **kwargs ) -> CreateResult:
+        stream: bool,
+        **kwargs
+    ) -> CreateResult:
+        if not model:
+            model = "gpt-3.5-turbo"
+        elif model not in model_info:
+            raise ValueError(f"Model are not supported: {model}")
 
         headers = {
             'authority'         : 'sdk.vercel.ai',
@@ -26,7 +32,7 @@ class Vercel(BaseProvider):
             'accept-language'   : 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
             'cache-control'     : 'no-cache',
             'content-type'      : 'application/json',
-            'custom-encoding'   : AntiBotToken(),
+            'custom-encoding'   : get_anti_bot_token(),
             'origin'            : 'https://sdk.vercel.ai',
             'pragma'            : 'no-cache',
             'referer'           : 'https://sdk.vercel.ai/',
@@ -48,22 +54,20 @@ class Vercel(BaseProvider):
             'playgroundId': str(uuid.uuid4()),
             'chatIndex'   : 0} | model_info[model]['default_params']
 
-        server_error = True
-        retries      = 0
         max_retries  = kwargs.get('max_retries', 20)
-        
-        while server_error and not retries > max_retries:
+        for i in range(max_retries):
             response = requests.post('https://sdk.vercel.ai/api/generate', 
                                     headers=headers, json=json_data, stream=True)
+            try:
+                response.raise_for_status()
+            except:
+                continue
+            for token in response.iter_content(chunk_size=8):
+                yield token.decode()
+            break
 
-            for token in response.iter_content(chunk_size=2046):
-                if token != b'Internal Server Error':
-                    server_error = False
-                    yield (token.decode())
-                    
-            retries += 1
 
-def AntiBotToken() -> str:
+def get_anti_bot_token() -> str:
     headers = {
         'authority'         : 'sdk.vercel.ai',
         'accept'            : '*/*',

g4f/Provider/base_provider.py

@@ -1,7 +1,9 @@
 from __future__ import annotations
 
 import asyncio
-from asyncio import SelectorEventLoop
+import functools
+from asyncio import SelectorEventLoop, AbstractEventLoop
+from concurrent.futures import ThreadPoolExecutor
 from abc import ABC, abstractmethod
 
 import browser_cookie3
@@ -27,6 +29,31 @@ class BaseProvider(ABC):
     ) -> CreateResult:
         raise NotImplementedError()
 
+    @classmethod
+    async def create_async(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        *,
+        loop: AbstractEventLoop = None,
+        executor: ThreadPoolExecutor = None,
+        **kwargs
+    ) -> str:
+        if not loop:
+            loop = asyncio.get_event_loop()
+
+        partial_func = functools.partial(
+            cls.create_completion,
+            model,
+            messages,
+            False,
+            **kwargs
+        )
+        response = await loop.run_in_executor(
+            executor,
+            partial_func
+        )
+        return "".join(response)
 
     @classmethod
     @property
@@ -127,7 +154,7 @@ def create_event_loop() -> SelectorEventLoop:
     except RuntimeError:
         return SelectorEventLoop()
     raise RuntimeError(
-        'Use "create_async" instead of "create" function in a async loop.')
+        'Use "create_async" instead of "create" function in a running event loop.')
 
 
 _cookies = {}

g4f/models.py

@@ -17,6 +17,7 @@ from .Provider   import (
     Wewordle,
     Yqcloud,
     AItianhu,
+    AItianhuSpace,
     Aichat,
     Myshell,
 )
@@ -38,7 +39,7 @@ default = Model(
         Wewordle,     # Responds with markdown
         Yqcloud,      # Answers short questions in chinese
         ChatBase,     # Don't want to answer creatively
-        DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, Myshell,
+        DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, AItianhuSpace, Aichat, Myshell,
     ])
 )
 
@@ -47,7 +48,7 @@ gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'openai',
     best_provider = RetryProvider([
-        DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, Myshell,
+        DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, AItianhuSpace, Myshell,
     ])
 )
 
@@ -55,7 +56,7 @@ gpt_4 = Model(
     name          = 'gpt-4',
     base_provider = 'openai',
     best_provider = RetryProvider([
-        Aivvm, Myshell
+        Aivvm, Myshell, AItianhuSpace,
     ])
 )