8 files changed, 228 insertions, 340 deletions

diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index 6254e160..54bb543b 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -4,46 +4,88 @@ import random
 import json
 import re
 
+import requests
+from requests.packages.urllib3.exceptions import InsecureRequestWarning
+requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
+
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..image import ImageResponse
 from ..requests import StreamSession, raise_for_status
-from .airforce.AirforceChat import AirforceChat
-from .airforce.AirforceImage import AirforceImage
 
 class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://api.airforce"
-    api_endpoint_completions = AirforceChat.api_endpoint
-    api_endpoint_imagine = AirforceImage.api_endpoint
+    url = "https://llmplayground.net"
+    api_endpoint_completions = "https://api.airforce/chat/completions"
+    api_endpoint_imagine = "https://api.airforce/imagine2"
     working = True
-    default_model = "gpt-4o-mini"
     supports_system_message = True
     supports_message_history = True
-    text_models = [
-        'gpt-4-turbo',
-        default_model,
-        'llama-3.1-70b-turbo',
-        'llama-3.1-8b-turbo',
-    ]
-    image_models = [
-        'flux',
-        'flux-realism',
-        'flux-anime',
-        'flux-3d',
-        'flux-disney',
-        'flux-pixel',
-        'flux-4o',
-        'any-dark',
-    ]
+    
+    @classmethod
+    def fetch_completions_models(cls):
+        response = requests.get('https://api.airforce/models', verify=False)
+        response.raise_for_status()
+        data = response.json()
+        return [model['id'] for model in data['data']]
+
+    @classmethod
+    def fetch_imagine_models(cls):
+        response = requests.get('https://api.airforce/imagine/models', verify=False)
+        response.raise_for_status()
+        return response.json()
+
+    completions_models = fetch_completions_models.__func__(None)
+    imagine_models = fetch_imagine_models.__func__(None)
+
+    default_model = "gpt-4o-mini"
+    default_image_model = "flux"
+    additional_models_imagine = ["stable-diffusion-xl-base", "stable-diffusion-xl-lightning", "Flux-1.1-Pro"]
+    text_models = completions_models
+    image_models = [*imagine_models, *additional_models_imagine]
     models = [
         *text_models,
         *image_models,
     ]
-    model_aliases = {
-        "gpt-4o": "chatgpt-4o-latest",
+    
+    model_aliases = {        
+        ### completions ###
+        # openchat
+        "openchat-3.5": "openchat-3.5-0106",
+        
+        # deepseek-ai
+        "deepseek-coder": "deepseek-coder-6.7b-instruct",
+        
+        # NousResearch
+        "hermes-2-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
+        "hermes-2-pro": "hermes-2-pro-mistral-7b",
+        
+        # teknium
+        "openhermes-2.5": "openhermes-2.5-mistral-7b",
+        
+        # liquid
+        "lfm-40b": "lfm-40b-moe",
+        
+        # DiscoResearch
+        "german-7b": "discolm-german-7b-v1",
+            
+        # meta-llama
+        "llama-2-7b": "llama-2-7b-chat-int8",
+        "llama-2-7b": "llama-2-7b-chat-fp16",
+        "llama-3.1-70b": "llama-3.1-70b-chat",
+        "llama-3.1-8b": "llama-3.1-8b-chat",
         "llama-3.1-70b": "llama-3.1-70b-turbo",
         "llama-3.1-8b": "llama-3.1-8b-turbo",
-        "gpt-4": "gpt-4-turbo",
+        
+        # inferless
+        "neural-7b": "neural-chat-7b-v3-1",
+        
+        # HuggingFaceH4
+        "zephyr-7b": "zephyr-7b-beta",
+        
+        ### imagine ###
+        "sdxl": "stable-diffusion-xl-base",
+        "sdxl": "stable-diffusion-xl-lightning", 
+        "flux-pro": "Flux-1.1-Pro",
     }
 
     @classmethod
@@ -53,7 +95,7 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
         messages: Messages,
         proxy: str = None,
         seed: int = None,
-        size: str = "1:1",
+        size: str = "1:1", # "1:1", "16:9", "9:16", "21:9", "9:21", "1:2", "2:1"
         stream: bool = False,
         **kwargs
     ) -> AsyncResult:
@@ -168,4 +210,4 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
             '',
             part_response
         )
-        return part_response
\ No newline at end of file
+        return part_response
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index ba58a511..b259b4aa 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -10,7 +10,6 @@ import aiohttp
 from ..typing import AsyncResult, Messages, ImageType
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..image import ImageResponse, to_data_uri
-from .helper import get_random_string
 
 class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Blackbox AI"
@@ -21,19 +20,19 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
     supports_system_message = True
     supports_message_history = True
     _last_validated_value = None
-
+    
     default_model = 'blackboxai'
     default_vision_model = default_model
-    default_image_model = 'generate_image'  
-    image_models = [default_image_model, 'repomap']
-    text_models = [default_model, 'gpt-4o', 'gemini-pro', 'claude-sonnet-3.5', 'blackboxai-pro']
-    vision_models = [default_model, 'gpt-4o', 'gemini-pro', 'blackboxai-pro']
-    model_aliases = {
-        "claude-3.5-sonnet": "claude-sonnet-3.5",
-    }
+    default_image_model = 'Image Generation' 
+    image_models = ['Image Generation', 'repomap']
+    vision_models = [default_model, 'gpt-4o', 'gemini-pro', 'gemini-1.5-flash', 'llama-3.1-8b', 'llama-3.1-70b', 'llama-3.1-405b']
+   
+    userSelectedModel = ['gpt-4o', 'gemini-pro', 'claude-sonnet-3.5', 'blackboxai-pro']
+    
     agentMode = {
-        default_image_model: {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
+        'Image Generation': {'mode': True, 'id': "ImageGenerationLV45LJp", 'name': "Image Generation"},
     }
+    
     trendingAgentMode = {
         "gemini-1.5-flash": {'mode': True, 'id': 'Gemini'},
         "llama-3.1-8b": {'mode': True, 'id': "llama-3.1-8b"},
@@ -53,6 +52,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         'React Agent': {'mode': True, 'id': "React Agent"},
         'Xcode Agent': {'mode': True, 'id': "Xcode Agent"},
         'AngularJS Agent': {'mode': True, 'id': "AngularJS Agent"},
+        #
         'blackboxai-pro': {'mode': True, 'id': "BLACKBOXAI-PRO"},
         #
         'repomap': {'mode': True, 'id': "repomap"},
@@ -75,8 +75,24 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         'Youtube Agent': {'mode': True, 'id': "Youtube Agent"},
         'builder Agent': {'mode': True, 'id': "builder Agent"},
     }
-    model_prefixes = {mode: f"@{value['id']}" for mode, value in trendingAgentMode.items() if mode not in ["gemini-1.5-flash", "llama-3.1-8b", "llama-3.1-70b", "llama-3.1-405b", "repomap"]}
-    models = [*text_models, default_image_model, *list(trendingAgentMode.keys())]
+    
+    additional_prefixes = {
+    'gpt-4o': '@gpt-4o',
+    'gemini-pro': '@gemini-pro',
+    'claude-sonnet-3.5': '@claude-sonnet'
+		}
+    
+    model_prefixes = {
+    **{mode: f"@{value['id']}" for mode, value in trendingAgentMode.items() 
+       if mode not in ["gemini-1.5-flash", "llama-3.1-8b", "llama-3.1-70b", "llama-3.1-405b", "repomap"]},
+    **additional_prefixes
+        }
+
+    
+    models = list(dict.fromkeys([default_model, *userSelectedModel, *list(agentMode.keys()), *list(trendingAgentMode.keys())]))
+
+
+    
     model_aliases = {
         "gemini-flash": "gemini-1.5-flash",
         "claude-3.5-sonnet": "claude-sonnet-3.5",
@@ -85,11 +101,9 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
 
     @classmethod
     async def fetch_validated(cls):       
-        # If the key is already stored in memory, return it
         if cls._last_validated_value:
             return cls._last_validated_value
 
-        # If the key is not found, perform a search
         async with aiohttp.ClientSession() as session:
             try:
                 async with session.get(cls.url) as response:
@@ -110,13 +124,19 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
                             match = key_pattern.search(js_content)
                             if match:
                                 validated_value = match.group(1)
-                                cls._last_validated_value = validated_value  # Keep in mind
+                                cls._last_validated_value = validated_value
                                 return validated_value
             except Exception as e:
                 print(f"Error fetching validated value: {e}")
 
         return cls._last_validated_value
 
+
+    @staticmethod
+    def generate_id(length=7):
+        characters = string.ascii_letters + string.digits
+        return ''.join(random.choice(characters) for _ in range(length))
+        
     @classmethod
     def add_prefix_to_messages(cls, messages: Messages, model: str) -> Messages:
         prefix = cls.model_prefixes.get(model, "")
@@ -143,8 +163,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         image_name: str = None,
         **kwargs
     ) -> AsyncResult:
-        model = cls.get_model(model)
-        message_id = get_random_string(7)
+        message_id = cls.generate_id()
         messages = cls.add_prefix_to_messages(messages, model)
         validated_value = await cls.fetch_validated()
 
@@ -172,7 +191,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
             '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'
         }
-
+        
         data = {
             "messages": messages,
             "id": message_id,
@@ -193,7 +212,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
             "clickedForceWebSearch": False,
             "visitFromDelta": False,
             "mobileClient": False,
-            "userSelectedModel": model if model in cls.text_models else None,
+            "userSelectedModel": model if model in cls.userSelectedModel else None,
             "webSearchMode": web_search,
             "validated": validated_value,
         }
@@ -201,29 +220,27 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         async with ClientSession(headers=headers) as session:
             async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
                 response.raise_for_status()
-                is_first = False
-                async for chunk in response.content.iter_any():
-                    text_chunk = chunk.decode(errors="ignore")
-                    if model in cls.image_models:
-                        image_matches = re.findall(r'!\[.*?\]\((https?://[^\)]+)\)', text_chunk)
-                        if image_matches:
-                            image_url = image_matches[0]
-                            image_response = ImageResponse(images=[image_url])
-                            yield image_response
-                            continue
-
-                    text_chunk = re.sub(r'Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai', '', text_chunk, flags=re.DOTALL)
-                    json_match = re.search(r'\$~~~\$(.*?)\$~~~\$', text_chunk, re.DOTALL)
-                    if json_match:
-                        search_results = json.loads(json_match.group(1))
-                        answer = text_chunk.split('$~~~$')[-1].strip()
-                        formatted_response = f"{answer}\n\n**Source:**"
-                        for i, result in enumerate(search_results, 1):
-                            formatted_response += f"\n{i}. {result['title']}: {result['link']}"
-                        yield formatted_response
-                    elif text_chunk:
-                        if is_first:
-                            is_first = False
-                            yield text_chunk.lstrip()
-                        else:
-                            yield text_chunk
\ No newline at end of file
+                response_text = await response.text()
+                
+                if model in cls.image_models:
+                    image_matches = re.findall(r'!\[.*?\]\((https?://[^\)]+)\)', response_text)
+                    if image_matches:
+                        image_url = image_matches[0]
+                        image_response = ImageResponse(images=[image_url], alt="Generated Image")
+                        yield image_response
+                        return
+
+                response_text = re.sub(r'Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai', '', response_text, flags=re.DOTALL)
+                
+                json_match = re.search(r'\$~~~\$(.*?)\$~~~\$', response_text, re.DOTALL)
+                if json_match:
+                    search_results = json.loads(json_match.group(1))
+                    answer = response_text.split('$~~~$')[-1].strip()
+                    
+                    formatted_response = f"{answer}\n\n**Source:**"
+                    for i, result in enumerate(search_results, 1):
+                        formatted_response += f"\n{i}. {result['title']}: {result['link']}"
+                    
+                    yield formatted_response
+                else:
+                    yield response_text.strip()
diff --git a/g4f/Provider/RobocodersAPI.py b/g4f/Provider/RobocodersAPI.py
new file mode 100755
index 00000000..aa82902b
--- /dev/null
+++ b/g4f/Provider/RobocodersAPI.py
@@ -0,0 +1,90 @@
+from __future__ import annotations
+
+import json
+import aiohttp
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+
+class RobocodersAPI(AsyncGeneratorProvider, ProviderModelMixin):
+    label = "API Robocoders AI"
+    url = "https://api.robocoders.ai/docs"
+    api_endpoint = "https://api.robocoders.ai/chat"
+    working = True
+    supports_message_history = True
+    default_model = 'GeneralCodingAgent'
+    agent = [default_model, "RepoAgent", "FrontEndAgent"]
+    models = [*agent]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        async with aiohttp.ClientSession() as session:
+            access_token = await cls._get_access_token(session)
+            if not access_token:
+                raise Exception("Failed to get access token")
+
+            session_id = await cls._create_session(session, access_token)
+            if not session_id:
+                raise Exception("Failed to create session")
+
+            headers = {
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {access_token}"
+            }
+            
+            prompt = format_prompt(messages)
+            
+            data = {
+                "sid": session_id,
+                "prompt": prompt,
+                "agent": model
+            }
+
+            async with session.post(cls.api_endpoint, headers=headers, json=data, proxy=proxy) as response:
+                if response.status != 200:
+                    raise Exception(f"Error: {response.status}")
+                
+                async for line in response.content:
+                    if line:
+                        try:
+                            response_data = json.loads(line)
+                            message = response_data.get('message', '')
+                            if message:
+                                yield message
+                        except json.JSONDecodeError:
+                            pass
+
+    @staticmethod
+    async def _get_access_token(session: aiohttp.ClientSession) -> str:
+        url_auth = 'https://api.robocoders.ai/auth'
+        headers_auth = {
+            'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
+            'accept-language': 'en-US,en;q=0.9',
+            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
+        }
+
+        async with session.get(url_auth, headers=headers_auth) as response:
+            if response.status == 200:
+                text = await response.text()
+                return text.split('id="token">')[1].split('</pre>')[0].strip()
+        return None
+
+    @staticmethod
+    async def _create_session(session: aiohttp.ClientSession, access_token: str) -> str:
+        url_create_session = 'https://api.robocoders.ai/create-session'
+        headers_create_session = {
+            'Authorization': f'Bearer {access_token}'
+        }
+
+        async with session.get(url_create_session, headers=headers_create_session) as response:
+            if response.status == 200:
+                data = await response.json()
+                return data.get('sid')
+        return None
+
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index faf9979e..2083c0ff 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -35,11 +35,12 @@ from .Pizzagpt         import Pizzagpt
 from .Prodia           import Prodia
 from .Reka             import Reka
 from .ReplicateHome    import ReplicateHome
+from .RobocodersAPI    import RobocodersAPI
 from .RubiksAI         import RubiksAI
 from .TeachAnything    import TeachAnything
 from .Upstage          import Upstage
 from .You              import You
-from .Mhystical       import Mhystical
+from .Mhystical        import Mhystical
 
 import sys
 
diff --git a/g4f/Provider/airforce/AirforceChat.py b/g4f/Provider/airforce/AirforceChat.py
deleted file mode 100644
index 1efe0026..00000000
--- a/g4f/Provider/airforce/AirforceChat.py
+++ /dev/null
@@ -1,179 +0,0 @@
-from __future__ import annotations
-import re
-import json
-import requests
-from aiohttp import ClientSession
-from typing import List
-import logging
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..helper import format_prompt
-
-# Helper function to clean the response
-def clean_response(text: str) -> str:
-    """Clean response from unwanted patterns."""
-    patterns = [
-        r"One message exceeds the \d+chars per message limit\..+https:\/\/discord\.com\/invite\/\S+",
-        r"Rate limit \(\d+\/minute\) exceeded\. Join our discord for more: .+https:\/\/discord\.com\/invite\/\S+",
-        r"Rate limit \(\d+\/hour\) exceeded\. Join our discord for more: https:\/\/discord\.com\/invite\/\S+",
-        r"</s>", # zephyr-7b-beta
-        r"\[ERROR\] '\w{8}-\w{4}-\w{4}-\w{4}-\w{12}'",  # Matches [ERROR] 'UUID'
-    ]
-    for pattern in patterns:
-        text = re.sub(pattern, '', text)
-    
-    # Remove the <|im_end|> token if present
-    text = text.replace("<|im_end|>", "").strip()
-    
-    return text
-
-def split_message(message: str, max_length: int = 1000) -> List[str]:
-    """Splits the message into chunks of a given length (max_length)"""
-    # Split the message into smaller chunks to avoid exceeding the limit
-    chunks = []
-    while len(message) > max_length:
-        # Find the last space or punctuation before max_length to avoid cutting words
-        split_point = message.rfind(' ', 0, max_length)
-        if split_point == -1:  # No space found, split at max_length
-            split_point = max_length
-        chunks.append(message[:split_point])
-        message = message[split_point:].strip()
-    if message:
-        chunks.append(message)  # Append the remaining part of the message
-    return chunks
-
-class AirforceChat(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "AirForce Chat"
-    api_endpoint = "https://api.airforce/chat/completions"
-    supports_stream = True
-    supports_system_message = True
-    supports_message_history = True
-
-    default_model = 'llama-3.1-70b-chat'
-
-    @classmethod
-    def get_models(cls) -> list:
-        if not cls.models:
-            try:
-                response = requests.get('https://api.airforce/models', verify=False)
-                data = response.json()
-                cls.models = [model['id'] for model in data['data']]
-            except Exception as e:
-                logging.exception(e)
-                cls.models = [cls.default_model]
-
-    model_aliases = {
-        # openchat
-        "openchat-3.5": "openchat-3.5-0106",
-        
-        # deepseek-ai
-        "deepseek-coder": "deepseek-coder-6.7b-instruct",
-        
-        # NousResearch
-        "hermes-2-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
-        "hermes-2-pro": "hermes-2-pro-mistral-7b",
-        
-        # teknium
-        "openhermes-2.5": "openhermes-2.5-mistral-7b",
-        
-        # liquid
-        "lfm-40b": "lfm-40b-moe",
-        
-        # DiscoResearch
-        "german-7b": "discolm-german-7b-v1",
-            
-        # meta-llama
-        "llama-2-7b": "llama-2-7b-chat-int8",
-        "llama-2-7b": "llama-2-7b-chat-fp16",
-        "llama-3.1-70b": "llama-3.1-70b-chat",
-        "llama-3.1-8b": "llama-3.1-8b-chat",
-        "llama-3.1-70b": "llama-3.1-70b-turbo",
-        "llama-3.1-8b": "llama-3.1-8b-turbo",
-        
-        # inferless
-        "neural-7b": "neural-chat-7b-v3-1",
-        
-        # HuggingFaceH4
-        "zephyr-7b": "zephyr-7b-beta",
-        
-        # llmplayground.net
-        #"any-uncensored": "any-uncensored",    
-    }
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        stream: bool = False,
-        proxy: str = None,
-        max_tokens: str = 4096,
-        temperature: str = 1,
-        top_p: str = 1,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-
-        headers = {
-            'accept': '*/*',
-            'accept-language': 'en-US,en;q=0.9',
-            'authorization': 'Bearer missing api key',
-            'cache-control': 'no-cache',
-            'content-type': 'application/json',
-            'origin': 'https://llmplayground.net',
-            'pragma': 'no-cache',
-            'priority': 'u=1, i',
-            'referer': 'https://llmplayground.net/',
-            'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"Linux"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'cross-site',
-            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
-        }
-
-        # Format the messages for the API
-        formatted_messages = format_prompt(messages)
-        message_chunks = split_message(formatted_messages)
-
-        full_response = ""
-        for chunk in message_chunks:
-            data = {
-                "messages": [{"role": "user", "content": chunk}],
-                "model": model,
-                "max_tokens": max_tokens,
-                "temperature": temperature,
-                "top_p": top_p,
-                "stream": stream
-            }
-
-            async with ClientSession(headers=headers) as session:
-                async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
-                    response.raise_for_status()
-
-                    text = ""
-                    if stream:
-                        async for line in response.content:
-                            line = line.decode('utf-8').strip()
-                            if line.startswith('data: '):
-                                json_str = line[6:]
-                                try:
-                                    if json_str and json_str != "[DONE]":
-                                        chunk = json.loads(json_str)
-                                        if 'choices' in chunk and chunk['choices']:
-                                            content = chunk['choices'][0].get('delta', {}).get('content', '')
-                                            text += content
-                                except json.JSONDecodeError as e:
-                                    print(f"Error decoding JSON: {json_str}, Error: {e}")
-                            elif line == "[DONE]":
-                                break
-                        full_response += clean_response(text)
-                    else:
-                        response_json = await response.json()
-                        text = response_json["choices"][0]["message"]["content"]
-                        full_response += clean_response(text)
-
-        # Return the complete response after all chunks
-        yield full_response
diff --git a/g4f/Provider/airforce/AirforceImage.py b/g4f/Provider/airforce/AirforceImage.py
deleted file mode 100644
index a5bd113f..00000000
--- a/g4f/Provider/airforce/AirforceImage.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-from urllib.parse import urlencode
-import random
-import requests
-import logging
-
-from ...typing import AsyncResult, Messages
-from ...image import ImageResponse
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-
-class AirforceImage(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "Airforce Image"
-    url = "https://api.airforce"
-    api_endpoint = "https://api.airforce/imagine2"
-    working = False
-    
-    default_model = 'flux'
-    additional_models = ["stable-diffusion-xl-base", "stable-diffusion-xl-lightning", "Flux-1.1-Pro"]
-    model_aliases = {
-        "sdxl": "stable-diffusion-xl-base",
-        "sdxl": "stable-diffusion-xl-lightning", 
-        "flux-pro": "Flux-1.1-Pro",
-    }
-
-    @classmethod
-    def get_models(cls) -> list:
-        if not cls.models:
-            try:
-                response = requests.get('https://api.airforce/imagine/models', verify=False)
-                response.raise_for_status()
-                cls.models = [*response.json(), *cls.additional_models]
-            except Exception as e:
-                logging.exception(e)
-                cls.models = [cls.default_model]
-        return cls.models
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        size: str = '1:1', # "1:1", "16:9", "9:16", "21:9", "9:21", "1:2", "2:1"
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        model = cls.get_model(model)
-        
-        headers = {
-            'accept': 'image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8',
-            'accept-language': 'en-US,en;q=0.9',
-            'cache-control': 'no-cache',
-            'dnt': '1',
-            'pragma': 'no-cache',
-            'priority': 'u=1, i',
-            'referer': 'https://llmplayground.net/',
-            'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"Linux"',
-            'sec-fetch-dest': 'image',
-            'sec-fetch-mode': 'no-cors', 
-            'sec-fetch-site': 'cross-site',
-            'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
-        }
-
-        async with ClientSession(headers=headers) as session:
-            seed = random.randint(0, 58463)
-            params = {
-                'model': model,
-                'prompt': messages[-1]["content"],
-                'size': size,
-                'seed': seed
-            }
-            full_url = f"{cls.api_endpoint}?{urlencode(params)}"
-
-            async with session.get(full_url, headers=headers, proxy=proxy) as response:
-                if response.status == 200 and response.headers.get('content-type', '').startswith('image'):
-                    yield ImageResponse(images=[full_url], alt="Generated Image")
-                else:
-                    raise Exception(f"Error: status {response.status}, content type {response.headers.get('content-type')}")
diff --git a/g4f/Provider/airforce/__init__.py b/g4f/Provider/airforce/__init__.py
deleted file mode 100644
index 5ffa6d31..00000000
--- a/g4f/Provider/airforce/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-from .AirforceChat        import AirforceChat
-from .AirforceImage       import AirforceImage
diff --git a/g4f/models.py b/g4f/models.py
index 8825242f..655aca9c 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -211,7 +211,7 @@ phi_3_5_mini = Model(
 gemini_pro = Model(
     name          = 'gemini-pro',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, Liaobots])
+    best_provider = IterListProvider([Blackbox, AIChatFree, GeminiPro, Liaobots])
 )
 
 gemini_flash = Model(
@@ -347,7 +347,7 @@ deepseek_coder = Model(
 wizardlm_2_8x22b = Model(
     name = 'wizardlm-2-8x22b',
     base_provider = 'WizardLM',
-    best_provider = IterListProvider([DeepInfraChat])
+    best_provider = DeepInfraChat
 )
 
 ### Yorickvp ###
@@ -389,7 +389,7 @@ grok_beta = Model(
 sonar_online = Model(
     name = 'sonar-online',
     base_provider = 'Perplexity AI',
-    best_provider = IterListProvider([PerplexityLabs])
+    best_provider = PerplexityLabs
 )
 
 sonar_chat = Model(
@@ -450,7 +450,7 @@ neural_7b = Model(
 sdxl = Model(
     name = 'sdxl',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome])
+    best_provider = ReplicateHome
     
 )
 
@@ -671,4 +671,4 @@ class ModelUtils:
         'any-dark': any_dark,
     }
 
-_all_models = list(ModelUtils.convert.keys())
\ No newline at end of file
+_all_models = list(ModelUtils.convert.keys())