Your task is to review a pull request. Instructions:
- Write in name of g4f copilot. Don't use placeholder.
- Write the review in GitHub Markdown format.
- Thank the author for contributing to the project.

Pull request author: None
Pull request title: [pull] main from xtekky:main
Pull request description:
---
See Commits and Changes for more details.

-----
Created by [<img src="https://prod.download/pull-18h-svg" valign="bottom"/> **pull[bot]**](https://github.com/wei/pull)

_Can you help keep this open source service alive? **[💖 Please sponsor : )](https://prod.download/pull-pr-sponsor)**_
---

Diff:
```diff
diff --git a/README.md b/README.md
index 74e9a0bffdb..2de3d318308 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,11 @@
 
-
 ![248433934-7886223b-c1d1-4260-82aa-da5741f303bb](https://github.com/xtekky/gpt4free/assets/98614666/ea012c87-76e0-496a-8ac4-e2de090cc6c9)
 
 <a href="https://trendshift.io/repositories/1692" target="_blank"><img src="https://trendshift.io/api/badge/repositories/1692" alt="xtekky%2Fgpt4free | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
 ---
 
-Written by [@xtekky](https://github.com/xtekky)
+<p align="center"><strong>Written by <a href="https://github.com/xtekky">@xtekky</a></strong></p>
 
 <div id="top"></div>
 
@@ -17,7 +16,7 @@ Written by [@xtekky](https://github.com/xtekky)
 > _"gpt4free"_ serves as a **PoC** (proof of concept), demonstrating the development of an API package with multi-provider requests, with features like timeouts, load balance and flow control.
 
 > [!NOTE]
-> <sup><strong>Lastet version:</strong></sup> [![PyPI version](https://img.shields.io/pypi/v/g4f?color=blue)](https://pypi.org/project/g4f) [![Docker version](https://img.shields.io/docker/v/hlohaus789/g4f?label=docker&color=blue)](https://hub.docker.com/r/hlohaus789/g4f)  
+> <sup><strong>Latest version:</strong></sup> [![PyPI version](https://img.shields.io/pypi/v/g4f?color=blue)](https://pypi.org/project/g4f) [![Docker version](https://img.shields.io/docker/v/hlohaus789/g4f?label=docker&color=blue)](https://hub.docker.com/r/hlohaus789/g4f)  
 > <sup><strong>Stats:</strong></sup> [![Downloads](https://static.pepy.tech/badge/g4f)](https://pepy.tech/project/g4f) [![Downloads](https://static.pepy.tech/badge/g4f/month)](https://pepy.tech/project/g4f)
 
 ```sh
@@ -30,9 +29,10 @@ docker pull hlohaus789/g4f
 
 ## 🆕 What's New
    - **For comprehensive details on new features and updates, please refer to our [Releases](https://github.com/xtekky/gpt4free/releases) page**
-   - **Installation Guide for Windows (.exe):** 💻 [#installation-guide-for-windows](#installation-guide-for-windows-exe)
+   - **Installation Guide for Windows (.exe):** 💻 [Installation Guide for Windows (.exe)](#installation-guide-for-windows-exe)
    - **Join our Telegram Channel:** 📨 [telegram.me/g4f_channel](https://telegram.me/g4f_channel)
-   - **Join our Discord Group:** 💬 [discord.gg/XfybzPXPH5](https://discord.gg/XfybzPXPH5)
+   - **Join our Discord Group:** 💬 [discord.gg/XfybzPXPH5](https://discord.gg/5E39JUWUFa)
+
 
 ## 🔻 Site Takedown
 
@@ -53,33 +53,32 @@ Is your site on this repository and you want to take it down? Send an email to t
    - [ ] 🚧 Improve compatibility and error handling
 
 ## 📚 Table of Contents
-
-- [🆕 What's New](#-whats-new)
-- [📚 Table of Contents](#-table-of-contents)
-- [🛠️ Getting Started](#-getting-started)
-  - [Docker Container Guide](#docker-container-guide)
-  - [Installation Guide for Windows (.exe)](#installation-guide-for-windows-exe)
-  - [Use python](#use-python)
-    - [Prerequisites](#prerequisites)
-    - [Install using PyPI package:](#install-using-pypi-package)
-    - [Install from source:](#install-from-source)
-    - [Install using Docker:](#install-using-docker)
-- [💡 Usage](#-usage)
-  - [Text Generation](#text-generation)
-  - [Image Generation](#image-generation)
-  - [Web UI](#web-ui)
-  - [Interference API](docs/interference.md)
-  - [Local inference](docs/local.md)
-  - [Configuration](#configuration)
-- [🚀 Providers and Models](docs/providers-and-models.md)
-- [🔗 Powered by gpt4free](#-powered-by-gpt4free)
-- [🤝 Contribute](#-contribute)
-  - [How do i create a new Provider?](#guide-how-do-i-create-a-new-provider)
-  - [How can AI help me with writing code?](#guide-how-can-ai-help-me-with-writing-code)
-- [🙌 Contributors](#-contributors)
-- [©️ Copyright](#-copyright)
-- [⭐ Star History](#-star-history)
-- [📄 License](#-license)
+   - [🆕 What's New](#-whats-new)
+   - [📚 Table of Contents](#-table-of-contents)
+   - [🛠️ Getting Started](#-getting-started)
+      - [Docker Container Guide](#docker-container-guide)
+      - [Installation Guide for Windows (.exe)](#installation-guide-for-windows-exe)
+   - [Use python](#use-python)
+      - [Prerequisites](#prerequisites)
+      - [Install using PyPI package](#install-using-pypi-package)
+      - [Install from source](#install-from-source)
+   - [Install using Docker](#install-using-docker)
+   - [💡 Usage](#-usage)
+      - [Text Generation](#text-generation)
+      - [Image Generation](#image-generation)
+      - [Web UI](#web-ui)
+      - [Interference API](#interference-api)
+      - [Local Inference](docs/local.md)
+      - [Configuration](#configuration)
+   - [🚀 Providers and Models](docs/providers-and-models.md)
+   - [🔗 Powered by gpt4free](#-powered-by-gpt4free)
+   - [🤝 Contribute](#-contribute)
+      - [How do i create a new Provider?](#guide-how-do-i-create-a-new-provider)
+      - [How can AI help me with writing code?](#guide-how-can-ai-help-me-with-writing-code)
+   - [🙌 Contributors](#-contributors)
+   - [©️ Copyright](#-copyright)
+   - [⭐ Star History](#-star-history)
+   - [📄 License](#-license)
 
 ## 🛠️ Getting Started
 
@@ -123,7 +122,7 @@ To ensure the seamless operation of our application, please follow the instructi
 
 By following these steps, you should be able to successfully install and run the application on your Windows system. If you encounter any issues during the installation process, please refer to our Issue Tracker or try to get contact over Discord for assistance.
 
-Run the **Webview UI** on other Platfroms:
+Run the **Webview UI** on other Platforms:
 
 - [/docs/guides/webview](docs/webview.md)
 
@@ -289,7 +288,7 @@ To utilize the OpenaiChat provider, a .har file is required from https://chatgpt
 
 ##### Storing the .HAR File
 
-- Place the exported .har file in the `./har_and_cookies` directory if you are using Docker. Alternatively, you can store it in any preferred location within your current working directory.
+- Place the exported .har file in the `./har_and_cookies` directory if you are using Docker. Alternatively, if you are using Python from a terminal, you can store it in a `./har_and_cookies` directory within your current working directory.
 
 Note: Ensure that your .har file is stored securely, as it may contain sensitive information.
 
@@ -771,10 +770,10 @@ set G4F_PROXY=http://host:port
 We welcome contributions from the community. Whether you're adding new providers or features, or simply fixing typos and making small improvements, your input is valued. Creating a pull request is all it takes – our co-pilot will handle the code review process. Once all changes have been addressed, we'll merge the pull request into the main branch and release the updates at a later time.
 
 ###### Guide: How do i create a new Provider?
-   - Read: [/docs/guides/create_provider](docs/guides/create_provider.md)
+   - Read: [Create Provider Guide](docs/guides/create_provider.md)
 
 ###### Guide: How can AI help me with writing code?
-   - Read: [/docs/guides/help_me](docs/guides/help_me.md)
+   - Read: [AI Assistance Guide](docs/guides/help_me.md)
 
 ## 🙌 Contributors
 A list of all contributors is available [here](https://github.com/xtekky/gpt4free/graphs/contributors)
@@ -866,4 +865,7 @@ This project is licensed under <a href="https://github.com/xtekky/gpt4free/blob/
   </tr>
 </table>
 
+---
+
 <p align="right">(<a href="#top">🔼 Back to top</a>)</p>
+
diff --git a/docs/async_client.md b/docs/async_client.md
index 0c296c09fb2..0719a463ebb 100644
--- a/docs/async_client.md
+++ b/docs/async_client.md
@@ -10,6 +10,7 @@ The G4F async client API is designed to be compatible with the OpenAI API, makin
    - [Key Features](#key-features)
    - [Getting Started](#getting-started)
    - [Initializing the Client](#initializing-the-client)
+   - [Creating Chat Completions](#creating-chat-completions)
    - [Configuration](#configuration)
    - [Usage Examples](#usage-examples)
    - [Text Completions](#text-completions)
@@ -51,6 +52,28 @@ client = Client(
 )
 ```
 
+
+## Creating Chat Completions
+**Here’s an improved example of creating chat completions:**
+```python
+response = await async_client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {
+            "role": "user",
+            "content": "Say this is a test"
+        }
+    ]
+     # Add other parameters as needed
+)
+```
+
+**This example:**
+   - Asks a specific question `Say this is a test`
+   - Configures various parameters like temperature and max_tokens for more control over the output
+   - Disables streaming for a complete response
+
+You can adjust these parameters based on your specific needs.
   
 
 ### Configuration
@@ -164,7 +187,7 @@ async def main():
     
     response = await client.images.async_generate(
         prompt="a white siamese cat",
-        model="dall-e-3"
+        model="flux"
     )
     
     image_url = response.data[0].url
@@ -185,7 +208,7 @@ async def main():
     
     response = await client.images.async_generate(
         prompt="a white siamese cat",
-        model="dall-e-3",
+        model="flux",
         response_format="b64_json"
     )
     
@@ -217,7 +240,7 @@ async def main():
     )
     
     task2 = client.images.async_generate(
-        model="dall-e-3",
+        model="flux",
         prompt="a white siamese cat"
     )
     
diff --git a/docs/client.md b/docs/client.md
index 0844540269e..388b2e4b8f0 100644
--- a/docs/client.md
+++ b/docs/client.md
@@ -7,6 +7,7 @@
    - [Getting Started](#getting-started)
    - [Switching to G4F Client](#switching-to-g4f-client)
    - [Initializing the Client](#initializing-the-client)
+   - [Creating Chat Completions](#creating-chat-completions)
    - [Configuration](#configuration)
    - [Usage Examples](#usage-examples)
    - [Text Completions](#text-completions)
@@ -56,6 +57,28 @@ client = Client(
     # Add any other necessary parameters
 )
 ```
+
+## Creating Chat Completions
+**Here’s an improved example of creating chat completions:**
+```python
+response = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {
+            "role": "user",
+            "content": "Say this is a test"
+        }
+    ]
+    # Add any other necessary parameters
+)
+```
+
+**This example:**
+   - Asks a specific question `Say this is a test`
+   - Configures various parameters like temperature and max_tokens for more control over the output
+   - Disables streaming for a complete response
+
+You can adjust these parameters based on your specific needs.
  
 
 ## Configuration
@@ -129,7 +152,7 @@ from g4f.client import Client
 client = Client()
 
 response = client.images.generate(
-    model="dall-e-3",
+    model="flux",
     prompt="a white siamese cat"
     # Add any other necessary parameters
 )
@@ -139,6 +162,23 @@ image_url = response.data[0].url
 print(f"Generated image URL: {image_url}")
 ```
 
+
+#### Base64 Response Format
+```python
+from g4f.client import Client
+
+client = Client()
+
+response = client.images.generate(
+    model="flux",
+    prompt="a white siamese cat",
+    response_format="b64_json"
+)
+
+base64_text = response.data[0].b64_json
+print(base64_text)
+```
+
   
 
 ### Creating Image Variations
diff --git a/docs/interference-api.md b/docs/interference-api.md
index 4050f84fd93..b8e38fae575 100644
--- a/docs/interference-api.md
+++ b/docs/interference-api.md
@@ -1,23 +1,30 @@
-
 # G4F - Interference API Usage Guide
-
+  
 
 ## Table of Contents
    - [Introduction](#introduction)
    - [Running the Interference API](#running-the-interference-api)
    - [From PyPI Package](#from-pypi-package)
    - [From Repository](#from-repository)
-   - [Usage with OpenAI Library](#usage-with-openai-library)
-   - [Usage with Requests Library](#usage-with-requests-library)
+   - [Using the Interference API](#using-the-interference-api)
+   - [Basic Usage](#basic-usage)
+   - [With OpenAI Library](#with-openai-library)
+   - [With Requests Library](#with-requests-library)
    - [Key Points](#key-points)
+   - [Conclusion](#conclusion)
+  
 
 ## Introduction
-The Interference API allows you to serve other OpenAI integrations with G4F. It acts as a proxy, translating requests to the OpenAI API into requests to the G4F providers.
+The G4F Interference API is a powerful tool that allows you to serve other OpenAI integrations using G4F (Gpt4free). It acts as a proxy, translating requests intended for the OpenAI API into requests compatible with G4F providers. This guide will walk you through the process of setting up, running, and using the Interference API effectively.
+  
 
 ## Running the Interference API
+**You can run the Interference API in two ways:** using the PyPI package or from the repository.
+  
 
 ### From PyPI Package
-**You can run the Interference API directly from the G4F PyPI package:**
+**To run the Interference API directly from the G4F PyPI package, use the following Python code:**
+
 ```python
 from g4f.api import run_api
 
@@ -25,37 +32,84 @@ run_api()
 ```
 
   
-
 ### From Repository
-Alternatively, you can run the Interference API from the cloned repository.  
+**If you prefer to run the Interference API from the cloned repository, you have two options:**
 
-**Run the server with:**
+1. **Using the command line:**
 ```bash
 g4f api
 ```
-or
+
+2. **Using Python:**
 ```bash
 python -m g4f.api.run
 ```
 
-  
+**Once running, the API will be accessible at:** `http://localhost:1337/v1`
+
+**(Advanced) Bind to custom port:**
+```bash
+python -m g4f.cli api --bind "0.0.0.0:2400" 
+```
 
-## Usage with OpenAI Library
+## Using the Interference API
 
-  
+### Basic Usage
+**You can interact with the Interference API using curl commands for both text and image generation:**
 
+**For text generation:**
+```bash
+curl -X POST "http://localhost:1337/v1/chat/completions" \
+     -H "Content-Type: application/json" \
+     -d '{
+           "messages": [
+             {
+               "role": "user",
+               "content": "Hello"
+             }
+           ],
+           "model": "gpt-3.5-turbo"
+         }'
+```
+
+**For image generation:**
+1. **url:**
+```bash
+curl -X POST "http://localhost:1337/v1/images/generate" \
+     -H "Content-Type: application/json" \
+     -d '{
+           "prompt": "a white siamese cat",
+           "model": "flux",
+           "response_format": "url"
+         }'
+```
+
+2. **b64_json**
+```bash
+curl -X POST "http://localhost:1337/v1/images/generate" \
+     -H "Content-Type: application/json" \
+     -d '{
+           "prompt": "a white siamese cat",
+           "model": "flux",
+           "response_format": "b64_json"
+         }'
+```
+
+
+### With OpenAI Library
+
+**You can use the Interference API with the OpenAI Python library by changing the `base_url`:**
 ```python
 from openai import OpenAI
 
 client = OpenAI(
     api_key="",
-    # Change the API base URL to the local interference API
-    base_url="http://localhost:1337/v1"  
+    base_url="http://localhost:1337/v1"
 )
 
 response = client.chat.completions.create(
     model="gpt-3.5-turbo",
-    messages=[{"role": "user", "content": "write a poem about a tree"}],
+    messages=[{"role": "user", "content": "Write a poem about a tree"}],
     stream=True,
 )
 
@@ -68,20 +122,20 @@ else:
         content = token.choices[0].delta.content
         if content is not None:
             print(content, end="", flush=True)
-```
 
+```
   
 
-## Usage with Requests Library
-You can also send requests directly to the Interference API using the requests library. 
+### With Requests Library
 
-**Send a POST request to `/v1/chat/completions` with the request body containing the model and other parameters:**
+**You can also send requests directly to the Interference API using the `requests` library:**
 ```python
 import requests
 
 url = "http://localhost:1337/v1/chat/completions"
+
 body = {
-    "model": "gpt-3.5-turbo", 
+    "model": "gpt-3.5-turbo",
     "stream": False,
     "messages": [
         {"role": "assistant", "content": "What can you do?"}
@@ -92,18 +146,20 @@ json_response = requests.post(url, json=body).json().get('choices', [])
 
 for choice in json_response:
     print(choice.get('message', {}).get('content', ''))
-```
 
-  
+```
 
 ## Key Points
-- The Interference API translates OpenAI API requests into G4F provider requests
-- You can run it from the PyPI package or the cloned repository
-- It supports usage with the OpenAI Python library by changing the `base_url`
-- Direct requests can be sent to the API endpoints using libraries like `requests`
+   - The Interference API translates OpenAI API requests into G4F provider requests.
+   - It can be run from either the PyPI package or the cloned repository.
+   - The API supports usage with the OpenAI Python library by changing the `base_url`.
+   - Direct requests can be sent to the API endpoints using libraries like `requests`.
+   - Both text and image generation are supported.
 
   
-**_The Interference API allows easy integration of G4F with existing OpenAI-based applications and tools._**
+## Conclusion
+The G4F Interference API provides a seamless way to integrate G4F with existing OpenAI-based applications and tools. By following this guide, you should now be able to set up, run, and use the Interference API effectively. Whether you're using it for text generation, image creation, or as a drop-in replacement for OpenAI in your projects, the Interference API offers flexibility and power for your AI-driven applications.
+ 
 
 ---
 
diff --git a/docs/providers-and-models.md b/docs/providers-and-models.md
index a6d7ec4ba76..b3dbd9f16b8 100644
--- a/docs/providers-and-models.md
+++ b/docs/providers-and-models.md
@@ -51,6 +51,7 @@ This document provides an overview of various AI providers and models, including
 |[free.netfly.top](https://free.netfly.top)|`g4f.Provider.FreeNetfly`|✔|❌|❌|?|![Cloudflare](https://img.shields.io/badge/Cloudflare-f48d37)|❌|
 |[gemini.google.com](https://gemini.google.com)|`g4f.Provider.Gemini`|✔|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
 |[ai.google.dev](https://ai.google.dev)|`g4f.Provider.GeminiPro`|✔|❌|✔|?|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
+|[app.giz.ai](https://app.giz.ai/assistant/)|`g4f.Provider.GizAI`|`gemini-flash, gemini-pro, gpt-4o-mini, gpt-4o, claude-3.5-sonnet, claude-3-haiku, llama-3.1-70b, llama-3.1-8b, mistral-large`|`sdxl, sd-1.5, sd-3.5, dalle-3, flux-schnell, flux1-pro`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[developers.sber.ru](https://developers.sber.ru/gigachat)|`g4f.Provider.GigaChat`|✔|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
 |[gprochat.com](https://gprochat.com)|`g4f.Provider.GPROChat`|`gemini-pro`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[console.groq.com/playground](https://console.groq.com/playground)|`g4f.Provider.Groq`|✔|❌|❌|?|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
@@ -63,10 +64,7 @@ This document provides an overview of various AI providers and models, including
 |[app.myshell.ai/chat](https://app.myshell.ai/chat)|`g4f.Provider.MyShell`|✔|❌|?|?|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
 |[nexra.aryahcr.cc/bing](https://nexra.aryahcr.cc/documentation/bing/en)|`g4f.Provider.NexraBing`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
 |[nexra.aryahcr.cc/blackbox](https://nexra.aryahcr.cc/documentation/blackbox/en)|`g4f.Provider.NexraBlackbox`|`blackboxai` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT`|`gpt-4, gpt-3.5-turbo, gpt-3` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT4o`|`gpt-4o` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGptV2`|`gpt-4` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
-|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGptWeb`|`gpt-4` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
+|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT`|`gpt-4, gpt-3.5-turbo, gpt-3, gpt-4o` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[nexra.aryahcr.cc/dall-e](https://nexra.aryahcr.cc/documentation/dall-e/en)|`g4f.Provider.NexraDallE`|❌|`dalle`|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[nexra.aryahcr.cc/dall-e](https://nexra.aryahcr.cc/documentation/dall-e/en)|`g4f.Provider.NexraDallE2`|❌|`dalle-2`|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
 |[nexra.aryahcr.cc/emi](https://nexra.aryahcr.cc/documentation/emi/en)|`g4f.Provider.NexraEmi`|❌|`emi`|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
@@ -108,18 +106,18 @@ This document provides an overview of various AI providers and models, including
 |-------|---------------|-----------|---------|
 |gpt-3|OpenAI|1+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-base)|
 |gpt-3.5-turbo|OpenAI|5+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-3-5-turbo)|
-|gpt-4|OpenAI|33+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
-|gpt-4-turbo|OpenAI|2+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
-|gpt-4o|OpenAI|7+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o)|
+|gpt-4|OpenAI|7+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
+|gpt-4-turbo|OpenAI|3+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
+|gpt-4o|OpenAI|10+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o)|
 |gpt-4o-mini|OpenAI|14+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o-mini)|
 |o1|OpenAI|1+ Providers|[platform.openai.com](https://openai.com/index/introducing-openai-o1-preview/)|
-|o1-mini|OpenAI|1+ Providers|[platform.openai.com](https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/)|
+|o1-mini|OpenAI|2+ Providers|[platform.openai.com](https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/)|
 |llama-2-7b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-2-7b)|
 |llama-2-13b|Meta Llama|1+ Providers|[llama.com](https://www.llama.com/llama2/)|
 |llama-3-8b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
 |llama-3-70b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
 |llama-3.1-8b|Meta Llama|7+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
-|llama-3.1-70b|Meta Llama|13+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
+|llama-3.1-70b|Meta Llama|14+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
 |llama-3.1-405b|Meta Llama|5+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
 |llama-3.2-1b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-1B)|
 |llama-3.2-3b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/blog/llama32)|
@@ -127,17 +125,17 @@ This document provides an overview of various AI providers and models, including
 |llama-3.2-90b|Meta Llama|2+ Providers|[ai.meta.com](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/)|
 |llamaguard-7b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/LlamaGuard-7b)|
 |llamaguard-2-8b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B)|
-|mistral-7b|Mistral AI|5+ Providers|[mistral.ai](https://mistral.ai/news/announcing-mistral-7b/)|
+|mistral-7b|Mistral AI|4+ Providers|[mistral.ai](https://mistral.ai/news/announcing-mistral-7b/)|
 |mixtral-8x7b|Mistral AI|6+ Providers|[mistral.ai](https://mistral.ai/news/mixtral-of-experts/)|
 |mixtral-8x22b|Mistral AI|3+ Providers|[mistral.ai](https://mistral.ai/news/mixtral-8x22b/)|
-|mistral-nemo|Mistral AI|1+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)|
-|mistral-large|Mistral AI|1+ Providers|[mistral.ai](https://mistral.ai/news/mistral-large-2407/)|
+|mistral-nemo|Mistral AI|2+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)|
+|mistral-large|Mistral AI|2+ Providers|[mistral.ai](https://mistral.ai/news/mistral-large-2407/)|
 |mixtral-8x7b-dpo|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO)|
 |yi-34b|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B)|
-|hermes-3|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)|
+|hermes-3|NousResearch|2+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)|
 |gemini|Google DeepMind|1+ Providers|[deepmind.google](http://deepmind.google/technologies/gemini/)|
-|gemini-flash|Google DeepMind|3+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/flash/)|
-|gemini-pro|Google DeepMind|9+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/pro/)|
+|gemini-flash|Google DeepMind|4+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/flash/)|
+|gemini-pro|Google DeepMind|10+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/pro/)|
 |gemma-2b|Google|5+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2b)|
 |gemma-2b-9b|Google|1+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2-9b)|
 |gemma-2b-27b|Google|2+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2-27b)|
@@ -145,10 +143,10 @@ This document provides an overview of various AI providers and models, including
 |gemma-2|Google|2+ Providers|[huggingface.co](https://huggingface.co/blog/gemma2)|
 |gemma_2_27b|Google|1+ Providers|[huggingface.co](https://huggingface.co/blog/gemma2)|
 |claude-2.1|Anthropic|1+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-2)|
-|claude-3-haiku|Anthropic|3+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-haiku)|
+|claude-3-haiku|Anthropic|4+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-haiku)|
 |claude-3-sonnet|Anthropic|2+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-family)|
 |claude-3-opus|Anthropic|2+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-family)|
-|claude-3.5-sonnet|Anthropic|5+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-5-sonnet)|
+|claude-3.5-sonnet|Anthropic|6+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-5-sonnet)|
 |blackboxai|Blackbox AI|2+ Providers|[docs.blackbox.chat](https://docs.blackbox.chat/blackbox-ai-1)|
 |blackboxai-pro|Blackbox AI|1+ Providers|[docs.blackbox.chat](https://docs.blackbox.chat/blackbox-ai-1)|
 |yi-1.5-9b|01-ai|1+ Providers|[huggingface.co](https://huggingface.co/01-ai/Yi-1.5-9B)|
@@ -196,11 +194,12 @@ This document provides an overview of various AI providers and models, including
 ### Image Models
 | Model | Base Provider | Providers | Website |
 |-------|---------------|-----------|---------|
-|sdxl|Stability AI|2+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl)|
+|sdxl|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl)|
 |sdxl-lora|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/blog/lcm_lora)|
 |sdxl-turbo|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/stabilityai/sdxl-turbo)|
 |sd-1.5|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/runwayml/stable-diffusion-v1-5)|
 |sd-3|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/stable_diffusion_3)|
+|sd-3.5|Stability AI|1+ Providers|[stability.ai](https://stability.ai/news/introducing-stable-diffusion-3-5)|
 |playground-v2.5|Playground AI|1+ Providers|[huggingface.co](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic)|
 |flux|Black Forest Labs|2+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
 |flux-pro|Black Forest Labs|2+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
@@ -210,10 +209,9 @@ This document provides an overview of various AI providers and models, including
 |flux-disney|Flux AI|1+ Providers|[]()|
 |flux-pixel|Flux AI|1+ Providers|[]()|
 |flux-4o|Flux AI|1+ Providers|[]()|
-|flux-schnell|Black Forest Labs|1+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-schnell)|
+|flux-schnell|Black Forest Labs|2+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-schnell)|
 |dalle|OpenAI|1+ Providers|[openai.com](https://openai.com/index/dall-e/)|
 |dalle-2|OpenAI|1+ Providers|[openai.com](https://openai.com/index/dall-e-2/)|
-|dalle-3|OpenAI|2+ Providers|[openai.com](https://openai.com/index/dall-e-3/)|
 |emi||1+ Providers|[]()|
 |any-dark||1+ Providers|[]()|
 |midjourney|Midjourney|1+ Providers|[docs.midjourney.com](https://docs.midjourney.com/docs/model-versions)|
diff --git a/g4f/Provider/AI365VIP.py b/g4f/Provider/AI365VIP.py
index c7ebf6b527b..511ad568515 100644
--- a/g4f/Provider/AI365VIP.py
+++ b/g4f/Provider/AI365VIP.py
@@ -10,7 +10,7 @@
 class AI365VIP(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://chat.ai365vip.com"
     api_endpoint = "/api/chat"
-    working = True
+    working = False
     default_model = 'gpt-3.5-turbo'
     models = [
         'gpt-3.5-turbo',
diff --git a/g4f/Provider/AiMathGPT.py b/g4f/Provider/AiMathGPT.py
index 4399320a705..90931691a60 100644
--- a/g4f/Provider/AiMathGPT.py
+++ b/g4f/Provider/AiMathGPT.py
@@ -59,10 +59,6 @@ async def create_async_generator(
         async with ClientSession(headers=headers) as session:
             data = {
                 "messages": [
-                    {
-                        "role": "system",
-                        "content": ""
-                    },
                     {
                         "role": "user",
                         "content": format_prompt(messages)
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index 5cd43eed961..4052893adff 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -51,7 +51,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         'ReactAgent',
         'XcodeAgent',
         'AngularJSAgent',
-        'RepoMap',
     ]
 
     agentMode = {
@@ -78,7 +77,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         'ReactAgent': {'mode': True, 'id': "React Agent"},
         'XcodeAgent': {'mode': True, 'id': "Xcode Agent"},
         'AngularJSAgent': {'mode': True, 'id': "AngularJS Agent"},
-        'RepoMap': {'mode': True, 'id': "repomap"},
     }
 
     userSelectedModel = {
@@ -174,7 +172,7 @@ async def create_async_generator(
         proxy: Optional[str] = None,
         image: ImageType = None,
         image_name: str = None,
-        websearch: bool = False,
+        web_search: bool = False,
         **kwargs
     ) -> AsyncGenerator[Union[str, ImageResponse], None]:
         """
@@ -186,7 +184,7 @@ async def create_async_generator(
             proxy (Optional[str]): Proxy URL, if needed.
             image (ImageType): Image data to be processed, if any.
             image_name (str): Name of the image file, if an image is provided.
-            websearch (bool): Enables or disables web search mode.
+            web_search (bool): Enables or disables web search mode.
             **kwargs: Additional keyword arguments.
 
         Yields:
@@ -276,7 +274,7 @@ async def create_async_generator(
             "clickedForceWebSearch": False,
             "visitFromDelta": False,
             "mobileClient": False,
-            "webSearchMode": websearch,
+            "webSearchMode": web_search,
             "userSelectedModel": cls.userSelectedModel.get(model, model)
         }
 
@@ -313,7 +311,7 @@ async def create_async_generator(
                         else:
                             yield cleaned_response
                     else:
-                        if websearch:
+                        if web_search:
                             match = re.search(r'\$~~~\$(.*?)\$~~~\$', cleaned_response, re.DOTALL)
                             if match:
                                 source_part = match.group(1).strip()
diff --git a/g4f/Provider/GeminiPro.py b/g4f/Provider/GeminiPro.py
index 06bf69ee765..e7174c5922d 100644
--- a/g4f/Provider/GeminiPro.py
+++ b/g4f/Provider/GeminiPro.py
@@ -104,4 +104,8 @@ async def create_async_generator(
                             lines.append(chunk)
                 else:
                     data = await response.json()
-                    yield data["candidates"][0]["content"]["parts"][0]["text"]
\ No newline at end of file
+                    candidate = data["candidates"][0]
+                    if candidate["finishReason"] == "STOP":
+                        yield candidate["content"]["parts"][0]["text"]
+                    else:
+                        yield candidate["finishReason"] + ' ' + candidate["safetyRatings"]
\ No newline at end of file
diff --git a/g4f/Provider/GizAI.py b/g4f/Provider/GizAI.py
new file mode 100644
index 00000000000..127edc9e42d
--- /dev/null
+++ b/g4f/Provider/GizAI.py
@@ -0,0 +1,151 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from ..image import ImageResponse
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+class GizAI(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://app.giz.ai/assistant/"
+    api_endpoint = "https://app.giz.ai/api/data/users/inferenceServer.infer"
+    working = True
+    
+    supports_system_message = True
+    supports_message_history = True
+    
+    # Chat models
+    default_model = 'chat-gemini-flash'
+    chat_models = [
+        default_model,
+        'chat-gemini-pro',
+        'chat-gpt4m',
+        'chat-gpt4',
+        'claude-sonnet',
+        'claude-haiku',
+        'llama-3-70b',
+        'llama-3-8b',
+        'mistral-large',
+        'chat-o1-mini'
+    ]
+
+    # Image models
+    image_models = [
+        'flux1',
+        'sdxl',
+        'sd',
+        'sd35',
+    ]
+
+    models = [*chat_models, *image_models]
+    
+    model_aliases = {
+        # Chat model aliases
+        "gemini-flash": "chat-gemini-flash",
+        "gemini-pro": "chat-gemini-pro",
+        "gpt-4o-mini": "chat-gpt4m",
+        "gpt-4o": "chat-gpt4",
+        "claude-3.5-sonnet": "claude-sonnet",
+        "claude-3-haiku": "claude-haiku",
+        "llama-3.1-70b": "llama-3-70b",
+        "llama-3.1-8b": "llama-3-8b",
+        "o1-mini": "chat-o1-mini",
+        # Image model aliases
+        "sd-1.5": "sd",
+        "sd-3.5": "sd35",
+        "flux-schnell": "flux1",
+    }
+
+    @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 is_image_model(cls, model: str) -> bool:
+        return model in cls.image_models
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            'Accept': 'application/json, text/plain, */*',
+            'Accept-Language': 'en-US,en;q=0.9',
+            'Cache-Control': 'no-cache',
+            'Connection': 'keep-alive',
+            'Content-Type': 'application/json',
+            'Origin': 'https://app.giz.ai',
+            'Pragma': 'no-cache',
+            '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/130.0.0.0 Safari/537.36',
+            'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"Linux"'
+        }
+
+        async with ClientSession() as session:
+            if cls.is_image_model(model):
+                # Image generation
+                prompt = messages[-1]["content"]
+                data = {
+                    "model": model,
+                    "input": {
+                        "width": "1024",
+                        "height": "1024",
+                        "steps": 4,
+                        "output_format": "webp",
+                        "batch_size": 1,
+                        "mode": "plan",
+                        "prompt": prompt
+                    }
+                }
+                async with session.post(
+                    cls.api_endpoint,
+                    headers=headers,
+                    data=json.dumps(data),
+                    proxy=proxy
+                ) as response:
+                    response.raise_for_status()
+                    response_data = await response.json()
+                    if response_data.get('status') == 'completed' and response_data.get('output'):
+                        for url in response_data['output']:
+                            yield ImageResponse(images=url, alt="Generated Image")
+            else:
+                # Chat completion
+                data = {
+                    "model": model,
+                    "input": {
+                        "messages": [
+                            {
+                                "type": "human",
+                                "content": format_prompt(messages)
+                            }
+                        ],
+                        "mode": "plan"
+                    },
+                    "noStream": True
+                }
+                async with session.post(
+                    cls.api_endpoint,
+                    headers=headers,
+                    data=json.dumps(data),
+                    proxy=proxy
+                ) as response:
+                    response.raise_for_status()
+                    result = await response.json()
+                    yield result.get('output', '')
diff --git a/g4f/Provider/Mhystical.py b/g4f/Provider/Mhystical.py
new file mode 100644
index 00000000000..44b326043b2
--- /dev/null
+++ b/g4f/Provider/Mhystical.py
@@ -0,0 +1,88 @@
+from __future__ import annotations
+
+import json
+import logging
+from aiohttp import ClientSession
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+"""
+    Mhystical.cc
+    ~~~~~~~~~~~~
+    Author: NoelP.dev
+    Last Updated: 2024-05-11
+    
+    Author Site: https://noelp.dev
+    Provider Site: https://mhystical.cc
+
+"""
+
+class Mhystical(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://api.mhystical.cc"
+    api_endpoint = "https://api.mhystical.cc/v1/completions"
+    working = True
+    supports_stream = False  # Set to False, as streaming is not specified in ChatifyAI
+    supports_system_message = False
+    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.get(model, cls.default_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 = {
+            "x-api-key": "mhystical",
+            "Content-Type": "application/json",
+            "accept": "*/*",
+            "cache-control": "no-cache",
+            "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"
+        }
+        
+        async with ClientSession(headers=headers) as session:
+            data = {
+                "model": model,
+                "messages": [{"role": "user", "content": format_prompt(messages)}]
+            }
+            async with session.post(cls.api_endpoint, json=data, headers=headers, proxy=proxy) as response:
+                if response.status == 400:
+                    yield "Error: API key is missing"
+                elif response.status == 429:
+                    yield "Error: Rate limit exceeded"
+                elif response.status == 500:
+                    yield "Error: Internal server error"
+                else:
+                    response.raise_for_status()
+                    response_text = await response.text()
+                    filtered_response = cls.filter_response(response_text)
+                    yield filtered_response
+
+    @staticmethod
+    def filter_response(response_text: str) -> str:
+        try:
+            json_response = json.loads(response_text)
+            message_content = json_response["choices"][0]["message"]["content"]
+            return message_content
+        except (KeyError, IndexError, json.JSONDecodeError) as e:
+            logging.error("Error parsing response: %s", e)
+            return "Error: Failed to parse response from API."
\ No newline at end of file
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 8f36606ba49..a313a9b396c 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -47,6 +47,7 @@
 from .FreeGpt          import FreeGpt
 from .FreeNetfly       import FreeNetfly
 from .GeminiPro        import GeminiPro
+from .GizAI            import GizAI
 from .GPROChat         import GPROChat
 from .HuggingChat      import HuggingChat
 from .HuggingFace      import HuggingFace
@@ -69,6 +70,7 @@
 from .Upstage          import Upstage
 from .WhiteRabbitNeo   import WhiteRabbitNeo
 from .You              import You
+from .Mhystical       import Mhystical
 
 import sys
 
diff --git a/g4f/Provider/nexra/NexraChatGPT.py b/g4f/Provider/nexra/NexraChatGPT.py
index fc5051eeaaf..074a0363c15 100644
--- a/g4f/Provider/nexra/NexraChatGPT.py
+++ b/g4f/Provider/nexra/NexraChatGPT.py
@@ -1,45 +1,52 @@
 from __future__ import annotations
 
+import asyncio
 import json
 import requests
+from typing import Any, Dict
 
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..helper import format_prompt
 
-class NexraChatGPT(AbstractProvider, ProviderModelMixin):
+
+class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra ChatGPT"
     url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt"
+    api_endpoint_nexra_chatgpt = "https://nexra.aryahcr.cc/api/chat/gpt"
+    api_endpoint_nexra_chatgpt4o = "https://nexra.aryahcr.cc/api/chat/complements"
+    api_endpoint_nexra_chatgpt_v2 = "https://nexra.aryahcr.cc/api/chat/complements"
+    api_endpoint_nexra_gptweb = "https://nexra.aryahcr.cc/api/chat/gptweb"
     working = True
+    supports_system_message = True
+    supports_message_history = True
+    supports_stream = True
     
     default_model = 'gpt-3.5-turbo'
-    models = ['gpt-4', 'gpt-4-0613', 'gpt-4-0314', 'gpt-4-32k-0314', default_model, 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'gpt-3', 'text-curie-001', 'text-babbage-001', 'text-ada-001', 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002']
+    nexra_chatgpt = [
+        'gpt-4', 'gpt-4-0613', 'gpt-4-0314', 'gpt-4-32k-0314',
+        default_model, 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', 
+        'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'gpt-3', 'text-curie-001', 'text-babbage-001', 'text-ada-001', 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002'
+    ]
+    nexra_chatgpt4o = ['gpt-4o']
+    nexra_chatgptv2 = ['chatgpt']
+    nexra_gptweb = ['gptweb']
+    models = nexra_chatgpt + nexra_chatgpt4o + nexra_chatgptv2 + nexra_gptweb
     
     model_aliases = {
         "gpt-4": "gpt-4-0613",
-        "gpt-4": "gpt-4-32k",
-        "gpt-4": "gpt-4-0314",
-        "gpt-4": "gpt-4-32k-0314",
-        
+        "gpt-4-32k": "gpt-4-32k-0314",
         "gpt-3.5-turbo": "gpt-3.5-turbo-16k",
-        "gpt-3.5-turbo": "gpt-3.5-turbo-0613",
-        "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613",
-        "gpt-3.5-turbo": "gpt-3.5-turbo-0301",
-        
+        "gpt-3.5-turbo-0613": "gpt-3.5-turbo-16k-0613",
         "gpt-3": "text-davinci-003",
-        "gpt-3": "text-davinci-002",
-        "gpt-3": "code-davinci-002",
-        "gpt-3": "text-curie-001",
-        "gpt-3": "text-babbage-001",
-        "gpt-3": "text-ada-001",
-        "gpt-3": "text-ada-001",
-        "gpt-3": "davinci",
-        "gpt-3": "curie",
-        "gpt-3": "babbage",
-        "gpt-3": "ada",
-        "gpt-3": "babbage-002",
-        "gpt-3": "davinci-002",
+        "text-davinci-002": "code-davinci-002",
+        "text-curie-001": "text-babbage-001",
+        "text-ada-001": "davinci",
+        "curie": "babbage",
+        "ada": "babbage-002",
+        "davinci-002": "davinci-002",
+        "chatgpt": "chatgpt",
+        "gptweb": "gptweb"
     }
 
     @classmethod
@@ -50,40 +57,229 @@ def get_model(cls, model: str) -> str:
             return cls.model_aliases[model]
         else:
             return cls.default_model
-            
+
     @classmethod
-    def create_completion(
+    async def create_async_generator(
         cls,
         model: str,
         messages: Messages,
+        stream: bool = False,
         proxy: str = None,
         markdown: bool = False,
         **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
+    ) -> AsyncResult:
+        if model in cls.nexra_chatgpt:
+            async for chunk in cls._create_async_generator_nexra_chatgpt(model, messages, proxy, **kwargs):
+                yield chunk
+        elif model in cls.nexra_chatgpt4o:
+            async for chunk in cls._create_async_generator_nexra_chatgpt4o(model, messages, stream, proxy, markdown, **kwargs):
+                yield chunk
+        elif model in cls.nexra_chatgptv2:
+            async for chunk in cls._create_async_generator_nexra_chatgpt_v2(model, messages, stream, proxy, markdown, **kwargs):
+                yield chunk
+        elif model in cls.nexra_gptweb:
+            async for chunk in cls._create_async_generator_nexra_gptweb(model, messages, proxy, **kwargs):
+                yield chunk
 
+    @classmethod
+    async def _create_async_generator_nexra_chatgpt(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
         headers = {
-            'Content-Type': 'application/json'
+            "Content-Type": "application/json"
         }
         
+        prompt = format_prompt(messages)
         data = {
-            "messages": [],
-            "prompt": format_prompt(messages),
+            "messages": messages,
+            "prompt": prompt,
             "model": model,
             "markdown": markdown
         }
+
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_chatgpt, data, headers, proxy)
+            filtered_response = cls._filter_response(response)
+            
+            for chunk in filtered_response:
+                yield chunk
+        except Exception as e:
+            print(f"Error during API request (nexra_chatgpt): {e}")
+
+    @classmethod
+    async def _create_async_generator_nexra_chatgpt4o(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = False,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
         
-        response = requests.post(cls.api_endpoint, headers=headers, json=data)
+        headers = {
+            "Content-Type": "application/json"
+        }
+        
+        prompt = format_prompt(messages)
+        data = {
+            "messages": [
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ],
+            "stream": stream,
+            "markdown": markdown,
+            "model": model
+        }
 
-        return cls.process_response(response)
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_chatgpt4o, data, headers, proxy, stream)
+            
+            if stream:
+                async for chunk in cls._process_streaming_response(response):
+                    yield chunk
+            else:
+                for chunk in cls._process_non_streaming_response(response):
+                    yield chunk
+        except Exception as e:
+            print(f"Error during API request (nexra_chatgpt4o): {e}")
 
     @classmethod
-    def process_response(cls, response):
+    async def _create_async_generator_nexra_chatgpt_v2(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = False,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            "Content-Type": "application/json"
+        }
+        
+        prompt = format_prompt(messages)
+        data = {
+            "messages": [
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ],
+            "stream": stream,
+            "markdown": markdown,
+            "model": model
+        }
+
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_chatgpt_v2, data, headers, proxy, stream)
+            
+            if stream:
+                async for chunk in cls._process_streaming_response(response):
+                    yield chunk
+            else:
+                for chunk in cls._process_non_streaming_response(response):
+                    yield chunk
+        except Exception as e:
+            print(f"Error during API request (nexra_chatgpt_v2): {e}")
+
+    @classmethod
+    async def _create_async_generator_nexra_gptweb(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            "Content-Type": "application/json"
+        }
+        
+        prompt = format_prompt(messages)
+        data = {
+            "prompt": prompt,
+            "markdown": markdown,
+        }
+
+        loop = asyncio.get_event_loop()
+        try:
+            response = await loop.run_in_executor(None, cls._sync_post_request, cls.api_endpoint_nexra_gptweb, data, headers, proxy)
+            
+            for chunk in response.iter_content(1024):
+                if chunk:
+                    decoded_chunk = chunk.decode().lstrip('_')
+                    try:
+                        response_json = json.loads(decoded_chunk)
+                        if response_json.get("status"):
+                            yield response_json.get("gpt", "")
+                    except json.JSONDecodeError:
+                        continue
+        except Exception as e:
+            print(f"Error during API request (nexra_gptweb): {e}")
+
+    @staticmethod
+    def _sync_post_request(url: str, data: Dict[str, Any], headers: Dict[str, str], proxy: str = None, stream: bool = False) -> requests.Response:
+        proxies = {
+            "http": proxy,
+            "https": proxy,
+        } if proxy else None
+        
+        try:
+            response = requests.post(url, json=data, headers=headers, proxies=proxies, stream=stream)
+            response.raise_for_status()
+            return response
+        except requests.RequestException as e:
+            print(f"Request failed: {e}")
+            raise
+
+    @staticmethod
+    def _process_non_streaming_response(response: requests.Response) -> str:
         if response.status_code == 200:
             try:
-                data = response.json()
-                return data.get('gpt', '')
+                content = response.text.lstrip('')
+                data = json.loads(content)
+                return data.get('message', '')
             except json.JSONDecodeError:
                 return "Error: Unable to decode JSON response"
         else:
             return f"Error: {response.status_code}"
+
+    @staticmethod
+    async def _process_streaming_response(response: requests.Response):
+        full_message = ""
+        for line in response.iter_lines(decode_unicode=True):
+            if line:
+                try:
+                    line = line.lstrip('')
+                    data = json.loads(line)
+                    if data.get('finish'):
+                        break
+                    message = data.get('message', '')
+                    if message:
+                        yield message[len(full_message):]
+                        full_message = message
+                except json.JSONDecodeError:
+                    pass
+
+    @staticmethod
+    def _filter_response(response: requests.Response) -> str:
+        response_json = response.json()
+        return response_json.get("gpt", "")
diff --git a/g4f/Provider/nexra/NexraChatGPT4o.py b/g4f/Provider/nexra/NexraChatGPT4o.py
deleted file mode 100644
index 126d32b8bfb..00000000000
--- a/g4f/Provider/nexra/NexraChatGPT4o.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
-from ..helper import format_prompt
-
-class NexraChatGPT4o(AbstractProvider, ProviderModelMixin):
-    label = "Nexra ChatGPT4o"
-    url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
-    working = True
-    supports_stream = True
-    
-    default_model = "gpt-4o"
-    models = [default_model]
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        return cls.default_model
-            
-    @classmethod
-    def create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        markdown: bool = False,
-        **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
-
-        headers = {
-            'Content-Type': 'application/json'
-        }
-        
-        data = {
-            "messages": [
-                {
-                    "role": "user",
-                    "content": format_prompt(messages)
-                }
-            ],
-            "stream": stream,
-            "markdown": markdown,
-            "model": model
-        }
-        
-        response = requests.post(cls.api_endpoint, headers=headers, json=data, stream=stream)
-
-        if stream:
-            return cls.process_streaming_response(response)
-        else:
-            return cls.process_non_streaming_response(response)
-
-    @classmethod
-    def process_non_streaming_response(cls, response):
-        if response.status_code == 200:
-            try:
-                content = response.text.lstrip('')
-                data = json.loads(content)
-                return data.get('message', '')
-            except json.JSONDecodeError:
-                return "Error: Unable to decode JSON response"
-        else:
-            return f"Error: {response.status_code}"
-
-    @classmethod
-    def process_streaming_response(cls, response):
-        full_message = ""
-        for line in response.iter_lines(decode_unicode=True):
-            if line:
-                try:
-                    line = line.lstrip('')
-                    data = json.loads(line)
-                    if data.get('finish'):
-                        break
-                    message = data.get('message', '')
-                    if message and message != full_message:
-                        yield message[len(full_message):]
-                        full_message = message
-                except json.JSONDecodeError:
-                    pass
diff --git a/g4f/Provider/nexra/NexraChatGptV2.py b/g4f/Provider/nexra/NexraChatGptV2.py
deleted file mode 100644
index 1ff42705f4d..00000000000
--- a/g4f/Provider/nexra/NexraChatGptV2.py
+++ /dev/null
@@ -1,92 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
-from ..helper import format_prompt
-
-class NexraChatGptV2(AbstractProvider, ProviderModelMixin):
-    label = "Nexra ChatGPT v2"
-    url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
-    working = True
-    supports_stream = True
-    
-    default_model = 'chatgpt'
-    models = [default_model]
-    model_aliases = {"gpt-4": "chatgpt"}
-
-    @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 create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool,
-        proxy: str = None,
-        markdown: bool = False,
-        **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
-
-        headers = {
-            'Content-Type': 'application/json'
-        }
-        
-        data = {
-            "messages": [
-                {
-                    "role": "user",
-                    "content": format_prompt(messages)
-                }
-            ],
-            "stream": stream,
-            "markdown": markdown,
-            "model": model
-        }
-        
-        response = requests.post(cls.api_endpoint, headers=headers, json=data, stream=stream)
-
-        if stream:
-            return cls.process_streaming_response(response)
-        else:
-            return cls.process_non_streaming_response(response)
-
-    @classmethod
-    def process_non_streaming_response(cls, response):
-        if response.status_code == 200:
-            try:
-                content = response.text.lstrip('')
-                data = json.loads(content)
-                return data.get('message', '')
-            except json.JSONDecodeError:
-                return "Error: Unable to decode JSON response"
-        else:
-            return f"Error: {response.status_code}"
-
-    @classmethod
-    def process_streaming_response(cls, response):
-        full_message = ""
-        for line in response.iter_lines(decode_unicode=True):
-            if line:
-                try:
-                    line = line.lstrip('')
-                    data = json.loads(line)
-                    if data.get('finish'):
-                        break
-                    message = data.get('message', '')
-                    if message:
-                        yield message[len(full_message):]
-                        full_message = message
-                except json.JSONDecodeError:
-                    pass
diff --git a/g4f/Provider/nexra/NexraChatGptWeb.py b/g4f/Provider/nexra/NexraChatGptWeb.py
deleted file mode 100644
index f82694d459a..00000000000
--- a/g4f/Provider/nexra/NexraChatGptWeb.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from __future__ import annotations
-
-import json
-import requests
-
-from ...typing import CreateResult, Messages
-from ..base_provider import ProviderModelMixin, AbstractProvider
-from ..helper import format_prompt
-
-class NexraChatGptWeb(AbstractProvider, ProviderModelMixin):
-    label = "Nexra ChatGPT Web"
-    url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
-    working = True
-    
-    default_model = "gptweb"
-    models = [default_model]
-    model_aliases = {"gpt-4": "gptweb"}
-    api_endpoints = {"gptweb": "https://nexra.aryahcr.cc/api/chat/gptweb"}
-
-    @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 create_completion(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        markdown: bool = False,
-        **kwargs
-    ) -> CreateResult:
-        model = cls.get_model(model)
-        api_endpoint = cls.api_endpoints.get(model, cls.api_endpoints[cls.default_model])
-
-        headers = {
-            'Content-Type': 'application/json'
-        }
-        
-        data = {
-            "prompt": format_prompt(messages),
-            "markdown": markdown
-        }
-        
-        response = requests.post(api_endpoint, headers=headers, json=data)
-
-        return cls.process_response(response)
-
-    @classmethod
-    def process_response(cls, response):
-        if response.status_code == 200:
-            try:
-                content = response.text.lstrip('_')
-                json_response = json.loads(content)
-                return json_response.get('gpt', '')
-            except json.JSONDecodeError:
-                return "Error: Unable to decode JSON response"
-        else:
-            return f"Error: {response.status_code}"
diff --git a/g4f/Provider/nexra/__init__.py b/g4f/Provider/nexra/__init__.py
index 6121fdc00ec..bebc1fb6f55 100644
--- a/g4f/Provider/nexra/__init__.py
+++ b/g4f/Provider/nexra/__init__.py
@@ -1,9 +1,6 @@
 from .NexraBing                import NexraBing
 from .NexraBlackbox            import NexraBlackbox
 from .NexraChatGPT             import NexraChatGPT
-from .NexraChatGPT4o           import NexraChatGPT4o
-from .NexraChatGptV2           import NexraChatGptV2
-from .NexraChatGptWeb          import NexraChatGptWeb
 from .NexraDallE               import NexraDallE
 from .NexraDallE2              import NexraDallE2
 from .NexraEmi                 import NexraEmi
diff --git a/g4f/__init__.py b/g4f/__init__.py
index ddd79fdb0e6..d77fe76097a 100644
--- a/g4f/__init__.py
+++ b/g4f/__init__.py
@@ -4,6 +4,7 @@
 
 from . import debug, version
 from .models import Model
+from .client import Client, AsyncClient
 from .typing import Messages, CreateResult, AsyncResult, Union
 from .errors import StreamNotSupportedError, ModelNotAllowedError
 from .cookies import get_cookies, set_cookies
diff --git a/g4f/api/__init__.py b/g4f/api/__init__.py
index 83df469a835..754a48f1cf0 100644
--- a/g4f/api/__init__.py
+++ b/g4f/api/__init__.py
@@ -14,17 +14,18 @@
 from fastapi.encoders import jsonable_encoder
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
-from typing import Union, Optional
+from typing import Union, Optional, Iterator
 
 import g4f
 import g4f.debug
-from g4f.client import Client
+from g4f.client import Client, ChatCompletion, ChatCompletionChunk, ImagesResponse
 from g4f.typing import Messages
 from g4f.cookies import read_cookie_files
 
-def create_app():
+def create_app(g4f_api_key: str = None):
     app = FastAPI()
-    api = Api(app)
+
+    # Add CORS middleware
     app.add_middleware(
         CORSMiddleware,
         allow_origin_regex=".*",
@@ -32,18 +33,19 @@ def create_app():
         allow_methods=["*"],
         allow_headers=["*"],
     )
+
+    api = Api(app, g4f_api_key=g4f_api_key)
     api.register_routes()
     api.register_authorization()
     api.register_validation_exception_handler()
+
+    # Read cookie files if not ignored
     if not AppConfig.ignore_cookie_files:
         read_cookie_files()
-    return app
 
-def create_app_debug():
-    g4f.debug.logging = True
-    return create_app()
+    return app
 
-class ChatCompletionsForm(BaseModel):
+class ChatCompletionsConfig(BaseModel):
     messages: Messages
     model: str
     provider: Optional[str] = None
@@ -55,15 +57,12 @@ class ChatCompletionsForm(BaseModel):
     web_search: Optional[bool] = None
     proxy: Optional[str] = None
 
-class ImagesGenerateForm(BaseModel):
-    model: Optional[str] = None
-    provider: Optional[str] = None
+class ImageGenerationConfig(BaseModel):
     prompt: str
-    response_format: Optional[str] = None
-    api_key: Optional[str] = None
-    proxy: Optional[str] = None
+    model: Optional[str] = None
+    response_format: str = "url"
 
-class AppConfig():
+class AppConfig:
     ignored_providers: Optional[list[str]] = None
     g4f_api_key: Optional[str] = None
     ignore_cookie_files: bool = False
@@ -74,16 +73,23 @@ def set_config(cls, **data):
         for key, value in data.items():
             setattr(cls, key, value)
 
+list_ignored_providers: list[str] = None
+
+def set_list_ignored_providers(ignored: list[str]):
+    global list_ignored_providers
+    list_ignored_providers = ignored
+
 class Api:
-    def __init__(self, app: FastAPI) -> None:
+    def __init__(self, app: FastAPI, g4f_api_key=None) -> None:
         self.app = app
         self.client = Client()
+        self.g4f_api_key = g4f_api_key
         self.get_g4f_api_key = APIKeyHeader(name="g4f-api-key")
 
     def register_authorization(self):
         @self.app.middleware("http")
         async def authorization(request: Request, call_next):
-            if AppConfig.g4f_api_key and request.url.path in ["/v1/chat/completions", "/v1/completions"]:
+            if self.g4f_api_key and request.url.path in ["/v1/chat/completions", "/v1/completions", "/v1/images/generate"]:
                 try:
                     user_g4f_api_key = await self.get_g4f_api_key(request)
                 except HTTPException as e:
@@ -92,22 +98,26 @@ async def authorization(request: Request, call_next):
                             status_code=HTTP_401_UNAUTHORIZED,
                             content=jsonable_encoder({"detail": "G4F API key required"}),
                         )
-                if not secrets.compare_digest(AppConfig.g4f_api_key, user_g4f_api_key):
+                if not secrets.compare_digest(self.g4f_api_key, user_g4f_api_key):
                     return JSONResponse(
                         status_code=HTTP_403_FORBIDDEN,
                         content=jsonable_encoder({"detail": "Invalid G4F API key"}),
                     )
-            return await call_next(request)
+
+            response = await call_next(request)
+            return response
 
     def register_validation_exception_handler(self):
         @self.app.exception_handler(RequestValidationError)
         async def validation_exception_handler(request: Request, exc: RequestValidationError):
             details = exc.errors()
-            modified_details = [{
-                "loc": error["loc"],
-                "message": error["msg"],
-                "type": error["type"],
-            } for error in details]
+            modified_details = []
+            for error in details:
+                modified_details.append({
+                    "loc": error["loc"],
+                    "message": error["msg"],
+                    "type": error["type"],
+                })
             return JSONResponse(
                 status_code=HTTP_422_UNPROCESSABLE_ENTITY,
                 content=jsonable_encoder({"detail": modified_details}),
@@ -121,25 +131,23 @@ async def read_root():
         @self.app.get("/v1")
         async def read_root_v1():
             return HTMLResponse('g4f API: Go to '
-                                '<a href="/v1/chat/completions">chat/completions</a> '
-                                'or <a href="/v1/models">models</a>.')
+                                '<a href="/v1/chat/completions">chat/completions</a>, '
+                                '<a href="/v1/models">models</a>, or '
+                                '<a href="/v1/images/generate">images/generate</a>.')
 
         @self.app.get("/v1/models")
         async def models():
-            model_list = {
-                model: g4f.models.ModelUtils.convert[model]
+            model_list = dict(
+                (model, g4f.models.ModelUtils.convert[model])
                 for model in g4f.Model.__all__()
-            }
+            )
             model_list = [{
                 'id': model_id,
                 'object': 'model',
                 'created': 0,
                 'owned_by': model.base_provider
             } for model_id, model in model_list.items()]
-            return JSONResponse({
-                "object": "list",
-                "data": model_list,
-            })
+            return JSONResponse(model_list)
 
         @self.app.get("/v1/models/{model_name}")
         async def model_info(model_name: str):
@@ -155,7 +163,7 @@ async def model_info(model_name: str):
                 return JSONResponse({"error": "The model does not exist."})
 
         @self.app.post("/v1/chat/completions")
-        async def chat_completions(config: ChatCompletionsForm, request: Request = None, provider: str = None):
+        async def chat_completions(config: ChatCompletionsConfig, request: Request = None, provider: str = None):
             try:
                 config.provider = provider if config.provider is None else config.provider
                 if config.api_key is None and request is not None:
@@ -164,17 +172,27 @@ async def chat_completions(config: ChatCompletionsForm, request: Request = None,
                         auth_header = auth_header.split(None, 1)[-1]
                         if auth_header and auth_header != "Bearer":
                             config.api_key = auth_header
-                # Use the asynchronous create method and await it
-                response = await self.client.chat.completions.async_create(
+
+                # Create the completion response
+                response = self.client.chat.completions.create(
                     **{
                         **AppConfig.defaults,
                         **config.dict(exclude_none=True),
                     },
                     ignored=AppConfig.ignored_providers
                 )
-                if not config.stream:
+
+                # Check if the response is synchronous or asynchronous
+                if isinstance(response, ChatCompletion):
+                    # Synchronous response
                     return JSONResponse(response.to_json())
 
+                if not config.stream:
+                    # If the response is an iterator but not streaming, collect the result
+                    response_list = list(response) if isinstance(response, Iterator) else [response]
+                    return JSONResponse(response_list[0].to_json())
+
+                # Streaming response
                 async def streaming():
                     try:
                         async for chunk in response:
@@ -185,41 +203,38 @@ async def streaming():
                         logging.exception(e)
                         yield f'data: {format_exception(e, config)}\n\n'
                     yield "data: [DONE]\n\n"
+
                 return StreamingResponse(streaming(), media_type="text/event-stream")
 
             except Exception as e:
                 logging.exception(e)
                 return Response(content=format_exception(e, config), status_code=500, media_type="application/json")
 
-        @self.app.post("/v1/completions")
-        async def completions():
-            return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
-
-        @self.app.post("/v1/images/generations")
-        async def images_generate(config: ImagesGenerateForm, request: Request = None, provider: str = None):
+        @self.app.post("/v1/images/generate")
+        async def generate_image(config: ImageGenerationConfig):
             try:
-                config.provider = provider if config.provider is None else config.provider
-                if config.api_key is None and request is not None:
-                    auth_header = request.headers.get("Authorization")
-                    if auth_header is not None:
-                        auth_header = auth_header.split(None, 1)[-1]
-                        if auth_header and auth_header != "Bearer":
-                            config.api_key = auth_header
-                # Use the asynchronous generate method and await it
-                response = await self.client.images.async_generate(
-                    **config.dict(exclude_none=True),
+                response: ImagesResponse = await self.client.images.async_generate(
+                    prompt=config.prompt,
+                    model=config.model,
+                    response_format=config.response_format
                 )
-                return JSONResponse(response.to_json())
+                # Convert Image objects to dictionaries
+                response_data = [image.to_dict() for image in response.data]
+                return JSONResponse({"data": response_data})
             except Exception as e:
                 logging.exception(e)
                 return Response(content=format_exception(e, config), status_code=500, media_type="application/json")
 
-def format_exception(e: Exception, config: ChatCompletionsForm) -> str:
+        @self.app.post("/v1/completions")
+        async def completions():
+            return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
+
+def format_exception(e: Exception, config: Union[ChatCompletionsConfig, ImageGenerationConfig]) -> str:
     last_provider = g4f.get_last_provider(True)
     return json.dumps({
         "error": {"message": f"{e.__class__.__name__}: {e}"},
-        "model": last_provider.get("model") if last_provider else config.model,
-        "provider": last_provider.get("name") if last_provider else config.provider
+        "model": last_provider.get("model") if last_provider else getattr(config, 'model', None),
+        "provider": last_provider.get("name") if last_provider else getattr(config, 'provider', None)
     })
 
 def run_api(
@@ -228,18 +243,22 @@ def run_api(
     bind: str = None,
     debug: bool = False,
     workers: int = None,
-    use_colors: bool = None
+    use_colors: bool = None,
+    g4f_api_key: str = None
 ) -> None:
     print(f'Starting server... [g4f v-{g4f.version.utils.current_version}]' + (" (debug)" if debug else ""))
     if use_colors is None:
         use_colors = debug
     if bind is not None:
         host, port = bind.split(":")
+    if debug:
+        g4f.debug.logging = True
     uvicorn.run(
-        f"g4f.api:create_app{'_debug' if debug else ''}",
-        host=host, port=int(port),
-        workers=workers,
-        use_colors=use_colors,
-        factory=True,
+        "g4f.api:create_app", 
+        host=host, 
+        port=int(port), 
+        workers=workers, 
+        use_colors=use_colors, 
+        factory=True, 
         reload=debug
     )
diff --git a/g4f/client/__init__.py b/g4f/client/__init__.py
index 9fb3551e29f..d1e7e298458 100644
--- a/g4f/client/__init__.py
+++ b/g4f/client/__init__.py
@@ -1,2 +1,2 @@
 from .stubs import ChatCompletion, ChatCompletionChunk, ImagesResponse
-from .client import Client
+from .client import Client, AsyncClient
diff --git a/g4f/client/client.py b/g4f/client/client.py
index 41238df5ef1..8e19521326f 100644
--- a/g4f/client/client.py
+++ b/g4f/client/client.py
@@ -140,6 +140,29 @@ def images(self) -> Images:
     async def async_images(self) -> Images:
         return self._images
 
+# For backwards compatibility and legacy purposes, use Client instead
+class AsyncClient(Client):
+    """Legacy AsyncClient that redirects to the main Client class.
+    This class exists for backwards compatibility."""
+    
+    def __init__(self, *args, **kwargs):
+        import warnings
+        warnings.warn(
+            "AsyncClient is deprecated and will be removed in a future version. "
+            "Use Client instead, which now supports both sync and async operations.",
+            DeprecationWarning,
+            stacklevel=2
+        )
+        super().__init__(*args, **kwargs)
+
+    async def chat_complete(self, *args, **kwargs):
+        """Legacy method that redirects to async_create"""
+        return await self.chat.completions.async_create(*args, **kwargs)
+
+    async def create_image(self, *args, **kwargs):
+        """Legacy method that redirects to async_generate"""
+        return await self.images.async_generate(*args, **kwargs)
+
 class Completions:
     def __init__(self, client: Client, provider: ProviderType = None):
         self.client: Client = client
@@ -508,3 +531,4 @@ 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
+
diff --git a/g4f/gui/client/index.html b/g4f/gui/client/index.html
index 1a660062ce2..7e8ef09cb0c 100644
--- a/g4f/gui/client/index.html
+++ b/g4f/gui/client/index.html
@@ -224,28 +224,35 @@ <h3>Settings</h3>
                 </div>
             </div>
             <div class="buttons">
-                <div class="field">
-                    <select name="model" id="model">
-                        <option value="">Model: Default</option>
-                        <option value="gpt-4">gpt-4</option>
-                        <option value="gpt-3.5-turbo">gpt-3.5-turbo</option>
-                        <option value="llama-3-70b-chat">llama-3-70b-chat</option>
-                        <option value="llama-3.1-70b">llama-3.1-70b</option>
-                        <option value="gemini-pro">gemini-pro</option>
-                        <option value="">----</option>
-                    </select>
-                    <select name="model2" id="model2" class="hidden"></select>
-                </div>
-                <div class="field">
-                    <select name="provider" id="provider">
-                        <option value="">Provider: Auto</option>
-                        <option value="Bing">Bing</option>
-                        <option value="OpenaiChat">OpenAI ChatGPT</option>
-                        <option value="Gemini">Gemini</option>
-                        <option value="Liaobots">Liaobots</option>
-                        <option value="MetaAI">Meta AI</option>
-                        <option value="You">You</option>
-                        <option value="">----</option>
+               <div class="field">
+                  <select name="model" id="model">
+                     <option value="">Model: Default</option>
+                     <option value="gpt-4">gpt-4</option>
+                     <option value="gpt-4o">gpt-4o</option>
+                     <option value="gpt-4o-mini">gpt-4o-mini</option>
+                     <option value="llama-3.1-70b">llama-3.1-70b</option>
+                     <option value="llama-3.1-70b">llama-3.1-405b</option>
+                     <option value="llama-3.1-70b">mixtral-8x7b</option>
+                     <option value="gemini-pro">gemini-pro</option>
+                     <option value="gemini-flash">gemini-flash</option>
+                     <option value="claude-3-haiku">claude-3-haiku</option>
+                     <option value="claude-3.5-sonnet">claude-3.5-sonnet</option>
+                     <option value="">----</option>
+                  </select>
+                  <select name="model2" id="model2" class="hidden"></select>
+               </div>
+               <div class="field">
+                  <select name="provider" id="provider">
+                     <option value="">Provider: Auto</option>
+                     <option value="OpenaiChat">OpenAI ChatGPT</option>
+                     <option value="Gemini">Gemini</option>
+                     <option value="MetaAI">Meta AI</option>
+                     <option value="DeepInfraChat">DeepInfraChat</option>
+                     <option value="Blackbox">Blackbox</option>
+                     <option value="HuggingChat">HuggingChat</option>
+                     <option value="DDG">DDG</option>
+                     <option value="Pizzagpt">Pizzagpt</option>
+                     <option value="">----</option>
                     </select>
                 </div>
             </div>
diff --git a/g4f/gui/client/static/js/chat.v1.js b/g4f/gui/client/static/js/chat.v1.js
index d5a1ffaa852..42ddb129e4c 100644
--- a/g4f/gui/client/static/js/chat.v1.js
+++ b/g4f/gui/client/static/js/chat.v1.js
@@ -338,6 +338,14 @@ const prepare_messages = (messages, message_index = -1) => {
         messages = messages.filter((_, index) => message_index >= index);
     }
 
+    let new_messages = [];
+    if (systemPrompt?.value) {
+        new_messages.push({
+            "role": "system",
+            "content": systemPrompt.value
+        });
+    }
+
     // Remove history, if it's selected
     if (document.getElementById('history')?.checked) {
         if (message_index == null) {
@@ -347,13 +355,6 @@ const prepare_messages = (messages, message_index = -1) => {
         }
     }
 
-    let new_messages = [];
-    if (systemPrompt?.value) {
-        new_messages.push({
-            "role": "system",
-            "content": systemPrompt.value
-        });
-    }
     messages.forEach((new_message) => {
         // Include only not regenerated messages
         if (new_message && !new_message.regenerate) {
@@ -366,6 +367,7 @@ const prepare_messages = (messages, message_index = -1) => {
     return new_messages;
 }
 
+
 async function add_message_chunk(message) {
     if (message.type == "conversation") {
         console.info("Conversation used:", message.conversation)
diff --git a/g4f/gui/server/api.py b/g4f/gui/server/api.py
index 57f3eaa192c..7aac650ab36 100644
--- a/g4f/gui/server/api.py
+++ b/g4f/gui/server/api.py
@@ -2,12 +2,11 @@
 
 import logging
 import os
-import os.path
 import uuid
 import asyncio
 import time
 from aiohttp import ClientSession
-from typing import Iterator, Optional
+from typing import Iterator, Optional, AsyncIterator, Union
 from flask import send_from_directory
 
 from g4f import version, models
@@ -20,21 +19,20 @@
 from g4f.providers.base_provider import ProviderModelMixin, FinishReason
 from g4f.providers.conversation import BaseConversation
 
-conversations: dict[dict[str, BaseConversation]] = {}
+# Define the directory for generated images
 images_dir = "./generated_images"
 
+# Function to ensure the images directory exists
+def ensure_images_dir():
+    if not os.path.exists(images_dir):
+        os.makedirs(images_dir)
+
+conversations: dict[dict[str, BaseConversation]] = {}
+
 
 class Api:
     @staticmethod
     def get_models() -> list[str]:
-        """
-        Return a list of all models.
-
-        Fetches and returns a list of all available models in the system.
-
-        Returns:
-            List[str]: A list of model names.
-        """
         return models._all_models
 
     @staticmethod
@@ -82,9 +80,6 @@ def get_image_models() -> list[dict]:
 
     @staticmethod
     def get_providers() -> list[str]:
-        """
-        Return a list of all working providers.
-        """
         return {
             provider.__name__: (
                 provider.label if hasattr(provider, "label") else provider.__name__
@@ -99,12 +94,6 @@ def get_providers() -> list[str]:
 
     @staticmethod
     def get_version():
-        """
-        Returns the current and latest version of the application.
-
-        Returns:
-            dict: A dictionary containing the current and latest version.
-        """
         try:
             current_version = version.utils.current_version
         except VersionNotFoundError:
@@ -115,18 +104,10 @@ def get_version():
         }
 
     def serve_images(self, name):
+        ensure_images_dir()
         return send_from_directory(os.path.abspath(images_dir), name)
 
     def _prepare_conversation_kwargs(self, json_data: dict, kwargs: dict):
-        """
-        Prepares arguments for chat completion based on the request data.
-
-        Reads the request and prepares the necessary arguments for handling 
-        a chat completion request.
-
-        Returns:
-            dict: Arguments prepared for chat completion.
-        """
         model = json_data.get('model') or models.default
         provider = json_data.get('provider')
         messages = json_data['messages']
@@ -134,7 +115,7 @@ def _prepare_conversation_kwargs(self, json_data: dict, kwargs: dict):
         if api_key is not None:
             kwargs["api_key"] = api_key
         if json_data.get('web_search'):
-            if provider in ("Bing", "HuggingChat"):
+            if provider:
                 kwargs['web_search'] = True
             else:
                 from .internet import get_search_message
@@ -159,13 +140,11 @@ def _create_response_stream(self, kwargs: dict, conversation_id: str, provider:
             result = ChatCompletion.create(**kwargs)
             first = True
             if isinstance(result, ImageResponse):
-                # Якщо результат є ImageResponse, обробляємо його як одиночний елемент
                 if first:
                     first = False
                     yield self._format_json("provider", get_last_provider(True))
                 yield self._format_json("content", str(result))
             else:
-                # Якщо результат є ітерабельним, обробляємо його як раніше
                 for chunk in result:
                     if first:
                         first = False
@@ -181,7 +160,6 @@ def _create_response_stream(self, kwargs: dict, conversation_id: str, provider:
                     elif isinstance(chunk, ImagePreview):
                         yield self._format_json("preview", chunk.to_string())
                     elif isinstance(chunk, ImageResponse):
-                        # Обробка ImageResponse
                         images = asyncio.run(self._copy_images(chunk.get_list(), chunk.options.get("cookies")))
                         yield self._format_json("content", str(ImageResponse(images, chunk.alt)))
                     elif not isinstance(chunk, FinishReason):
@@ -190,8 +168,8 @@ def _create_response_stream(self, kwargs: dict, conversation_id: str, provider:
             logging.exception(e)
             yield self._format_json('error', get_error_message(e))
 
-    # Додайте цей метод до класу Api
     async def _copy_images(self, images: list[str], cookies: Optional[Cookies] = None):
+        ensure_images_dir()
         async with ClientSession(
             connector=get_connector(None, os.environ.get("G4F_PROXY")),
             cookies=cookies
@@ -212,16 +190,6 @@ async def copy_image(image):
             return await asyncio.gather(*[copy_image(image) for image in images])
 
     def _format_json(self, response_type: str, content):
-        """
-        Formats and returns a JSON response.
-
-        Args:
-            response_type (str): The type of the response.
-            content: The content to be included in the response.
-
-        Returns:
-            str: A JSON formatted string.
-        """
         return {
             'type': response_type,
             response_type: content
@@ -229,15 +197,6 @@ def _format_json(self, response_type: str, content):
 
 
 def get_error_message(exception: Exception) -> str:
-    """
-    Generates a formatted error message from an exception.
-
-    Args:
-        exception (Exception): The exception to format.
-
-    Returns:
-        str: A formatted error message string.
-    """
     message = f"{type(exception).__name__}: {exception}"
     provider = get_last_provider()
     if provider is None:
diff --git a/g4f/gui/server/website.py b/g4f/gui/server/website.py
index 5e633674847..3cabcdf3e44 100644
--- a/g4f/gui/server/website.py
+++ b/g4f/gui/server/website.py
@@ -27,6 +27,10 @@ def redirect_home():
                 'function': redirect_home,
                 'methods': ['GET', 'POST']
             },
+            '/images/': {
+                'function': redirect_home,
+                'methods': ['GET', 'POST']
+            },
         }
 
     def _chat(self, conversation_id):
@@ -35,4 +39,4 @@ def _chat(self, conversation_id):
         return render_template('index.html', chat_id=conversation_id)
 
     def _index(self):
-        return render_template('index.html', chat_id=str(uuid.uuid4()))
\ No newline at end of file
+        return render_template('index.html', chat_id=str(uuid.uuid4()))
diff --git a/g4f/models.py b/g4f/models.py
index 1cea644783e..32a12d10057 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -23,7 +23,6 @@
     DDG,
     DeepInfra,
     DeepInfraChat,
-    DeepInfraImage,
     Editee,
     Free2GPT,
     FreeChatgpt,
@@ -31,6 +30,7 @@
     FreeNetfly,
     Gemini,
     GeminiPro,
+    GizAI,
     GigaChat,
     GPROChat,
     HuggingChat,
@@ -42,9 +42,6 @@
     NexraBing,
     NexraBlackbox,
     NexraChatGPT,
-    NexraChatGPT4o,
-    NexraChatGptV2,
-    NexraChatGptWeb,
     NexraDallE,
     NexraDallE2,
     NexraEmi,
@@ -87,6 +84,8 @@ def __all__() -> list[str]:
         """Returns a list of all model names."""
         return _all_models
 
+
+### Default ###
 default = Model(
     name          = "",
     base_provider = "",
@@ -113,6 +112,8 @@ def __all__() -> list[str]:
     ])
 )
 
+
+
 ############
 ### Text ###
 ############
@@ -136,13 +137,13 @@ def __all__() -> list[str]:
 gpt_4o = Model(
     name          = 'gpt-4o',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([NexraChatGPT4o, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, Liaobots, Airforce, OpenaiChat])
+    best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
 )
 
 gpt_4o_mini = Model(
     name          = 'gpt-4o-mini',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, ChatgptFree, Koala, OpenaiChat, ChatGpt])
+    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, GizAI, ChatgptFree, Koala, OpenaiChat, ChatGpt])
 )
 
 gpt_4_turbo = Model(
@@ -154,7 +155,7 @@ def __all__() -> list[str]:
 gpt_4 = Model(
     name          = 'gpt-4',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, NexraBing, NexraChatGPT, NexraChatGptV2, NexraChatGptWeb, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
+    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, NexraBing, NexraChatGPT, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
 )
 
 # o1
@@ -167,7 +168,7 @@ def __all__() -> list[str]:
 o1_mini = Model(
     name          = 'o1-mini',
     base_provider = 'OpenAI',
-    best_provider = AmigoChat
+    best_provider = IterListProvider([AmigoChat, GizAI])
 )
 
 
@@ -216,13 +217,13 @@ def __all__() -> list[str]:
 llama_3_1_8b = Model(
     name          = "llama-3.1-8b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, PerplexityLabs])
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, GizAI, PerplexityLabs])
 )
 
 llama_3_1_70b = Model(
     name          = "llama-3.1-70b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, RubiksAI, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, RubiksAI, GizAI, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(
@@ -299,7 +300,7 @@ def __all__() -> list[str]:
 mistral_large = Model(
     name          = "mistral-large",
     base_provider = "Mistral",
-    best_provider = Editee
+    best_provider = IterListProvider([Editee, GizAI])
 )
 
 
@@ -347,13 +348,13 @@ def __all__() -> list[str]:
 gemini_pro = Model(
     name          = 'gemini-pro',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Editee, Liaobots, Airforce])
+    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Editee, GizAI, Airforce, Liaobots])
 )
 
 gemini_flash = Model(
     name          = 'gemini-flash',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([Blackbox, Liaobots, Airforce])
+    best_provider = IterListProvider([Blackbox, GizAI, Airforce, Liaobots])
 )
 
 gemini = Model(
@@ -424,14 +425,14 @@ def __all__() -> list[str]:
 claude_3_haiku = Model(
     name          = 'claude-3-haiku',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([DDG, Airforce, Liaobots])
+    best_provider = IterListProvider([DDG, Airforce, GizAI, Liaobots])
 )
 
 # claude 3.5
 claude_3_5_sonnet = Model(
     name          = 'claude-3.5-sonnet',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Blackbox, Editee, AmigoChat, Airforce, Liaobots])
+    best_provider = IterListProvider([Blackbox, Editee, AmigoChat, Airforce, GizAI, Liaobots])
 )
 
 
@@ -753,14 +754,14 @@ def __all__() -> list[str]:
 sdxl = Model(
     name = 'sdxl',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome, DeepInfraImage])
+    best_provider = IterListProvider([ReplicateHome])
     
 )
 
 sd_1_5 = Model(
     name = 'sd-1.5',
     base_provider = 'Stability AI',
-    best_provider = NexraSD15
+    best_provider = IterListProvider([NexraSD15, GizAI])
     
 )
 
@@ -771,6 +772,13 @@ def __all__() -> list[str]:
     
 )
 
+sd_3_5 = Model(
+    name = 'sd-3.5',
+    base_provider = 'Stability AI',
+    best_provider = GizAI
+    
+)
+
 ### Playground ###
 playground_v2_5 = Model(
     name = 'playground-v2.5',
@@ -791,7 +799,7 @@ def __all__() -> list[str]:
 flux_pro = Model(
     name = 'flux-pro',
     base_provider = 'Flux AI',
-    best_provider = IterListProvider([AmigoChat, NexraFluxPro])
+    best_provider = IterListProvider([NexraFluxPro, AmigoChat])
     
 )
 
@@ -840,7 +848,7 @@ def __all__() -> list[str]:
 flux_schnell = Model(
     name = 'flux-schnell',
     base_provider = 'Flux AI',
-    best_provider = ReplicateHome
+    best_provider = IterListProvider([ReplicateHome, GizAI])
     
 )
 
@@ -1123,6 +1131,7 @@ class ModelUtils:
 'sdxl-turbo': sdxl_turbo,
 'sd-1.5': sd_1_5,
 'sd-3': sd_3,
+'sd-3.5': sd_3_5,
         
         
 ### Playground ###

```