Update (docs/ README.md g4f/client/client.py)

Author: kqlio67

README.md

@@ -174,7 +174,7 @@ from g4f.client import Client
 
 client = Client()
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o-mini",
     messages=[{"role": "user", "content": "Hello"}],
     # Add any other necessary parameters
 )

docs/async_client.md

@@ -57,7 +57,7 @@ client = Client(
 **Here’s an improved example of creating chat completions:**
 ```python
 response = await async_client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o-mini",
     messages=[
         {
             "role": "user",
@@ -99,7 +99,7 @@ async def main():
     client = Client()
 
     response = await client.chat.completions.async_create(
-        model="gpt-3.5-turbo",
+        model="gpt-4o-mini",
         messages=[
             {
                 "role": "user",
@@ -230,7 +230,7 @@ async def main():
     client = Client()
 
     task1 = client.chat.completions.async_create(
-        model="gpt-3.5-turbo",
+        model="gpt-4o-mini",
         messages=[
             {
                 "role": "user",
@@ -262,6 +262,7 @@ The G4F AsyncClient supports a wide range of AI models and providers, allowing y
 
 ### Models
    - GPT-3.5-Turbo
+   - GPT-4o-Mini
    - GPT-4
    - DALL-E 3
    - Gemini
@@ -306,7 +307,7 @@ Implementing proper error handling and following best practices is crucial when
 ```python
 try:
     response = await client.chat.completions.async_create(
-        model="gpt-3.5-turbo",
+        model="gpt-4o-mini",
         messages=[
             {
                 "role": "user",

docs/client.md

@@ -62,7 +62,7 @@ client = Client(
 **Here’s an improved example of creating chat completions:**
 ```python
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o-mini",
     messages=[
         {
             "role": "user",
@@ -104,7 +104,7 @@ from g4f.client import Client
 client = Client()
 
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o-mini",
     messages=[
         {
             "role": "user",

docs/docker.md

@@ -71,7 +71,7 @@ import requests
 
 url = "http://localhost:1337/v1/chat/completions"
 body = {
-    "model": "gpt-3.5-turbo", 
+    "model": "gpt-4o-mini", 
     "stream": False,
     "messages": [
         {"role": "assistant", "content": "What can you do?"}

docs/git.md

@@ -95,7 +95,7 @@ from g4f.client import Client
 client = Client()
 
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o-mini",
     messages=[
         {
             "role": "user",

docs/interference-api.md

@@ -64,7 +64,7 @@ curl -X POST "http://localhost:1337/v1/chat/completions" \
                "content": "Hello"
              }
            ],
-           "model": "gpt-3.5-turbo"
+           "model": "gpt-4o-mini"
          }'
 ```
 
@@ -104,7 +104,7 @@ client = OpenAI(
 )
 
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o-mini",
     messages=[{"role": "user", "content": "Write a poem about a tree"}],
     stream=True,
 )
@@ -131,7 +131,7 @@ import requests
 url = "http://localhost:1337/v1/chat/completions"
 
 body = {
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o-mini",
     "stream": False,
     "messages": [
         {"role": "assistant", "content": "What can you do?"}

g4f/client/client.py

@@ -154,14 +154,29 @@ def __init__(self, *args, **kwargs):
             stacklevel=2
         )
         super().__init__(*args, **kwargs)
+        self.chat = Chat(self)
+        self._images = Images(self)
+        self.completions = Completions(self)
 
-    async def chat_complete(self, *args, **kwargs):
-        """Legacy method that redirects to async_create"""
-        return await self.chat.completions.async_create(*args, **kwargs)
+    @property
+    def images(self) -> 'Images':
+        return self._images
+
+    async def async_create(self, *args, **kwargs) -> Union['ChatCompletion', AsyncIterator['ChatCompletionChunk']]:
+        response = await super().async_create(*args, **kwargs)
+        async for result in response:
+            return result
 
-    async def create_image(self, *args, **kwargs):
-        """Legacy method that redirects to async_generate"""
-        return await self.images.async_generate(*args, **kwargs)
+    async def async_generate(self, *args, **kwargs) -> 'ImagesResponse':
+        return await super().async_generate(*args, **kwargs)
+
+    async def _fetch_image(self, url: str) -> bytes:
+        async with ClientSession() as session:
+            async with session.get(url) as resp:
+                if resp.status == 200:
+                    return await resp.read()
+                else:
+                    raise Exception(f"Failed to fetch image from {url}, status code {resp.status}")
 
 class Completions:
     def __init__(self, client: Client, provider: ProviderType = None):
@@ -531,4 +546,3 @@ def _save_image(self, image: 'PILImage') -> str:
     async def create_variation(self, image: Union[str, bytes], model: str = None, response_format: str = "url", **kwargs):
         # Existing implementation, adjust if you want to support b64_json here as well
         pass
-