5 files changed, 638 insertions, 325 deletions

diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index 015766f4..b7819f9a 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -1,105 +1,30 @@
 from __future__ import annotations
-import random
-import json
-import re
+from typing import Any, Dict
+import inspect
+
 from aiohttp import ClientSession
+
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..image import ImageResponse
-
-def split_long_message(message: str, max_length: int = 4000) -> list[str]:
-    return [message[i:i+max_length] for i in range(0, len(message), max_length)]
+from .helper import format_prompt
+from .airforce.AirforceChat import AirforceChat
+from .airforce.AirforceImage import AirforceImage
 
 class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://api.airforce"
-    image_api_endpoint = "https://api.airforce/imagine2"
-    text_api_endpoint = "https://api.airforce/chat/completions"
+    api_endpoint_completions = AirforceChat.api_endpoint_completions
+    api_endpoint_imagine2 = AirforceImage.api_endpoint_imagine2
     working = True
+    supports_stream = AirforceChat.supports_stream
+    supports_system_message = AirforceChat.supports_system_message
+    supports_message_history = AirforceChat.supports_message_history 
     
-    default_model = 'llama-3-70b-chat'
-
-    supports_stream = True
-    supports_system_message = True
-    supports_message_history = True
-    
-    text_models = [
-        'claude-3-haiku-20240307', 
-        'claude-3-sonnet-20240229', 
-        'claude-3-5-sonnet-20240620', 
-        'claude-3-opus-20240229', 
-        'chatgpt-4o-latest', 
-        'gpt-4', 
-        'gpt-4-turbo', 
-        'gpt-4o-mini-2024-07-18', 
-        'gpt-4o-mini', 
-        'gpt-3.5-turbo', 
-        'gpt-3.5-turbo-0125', 
-        'gpt-3.5-turbo-1106', 
-        default_model,
-        'llama-3-70b-chat-turbo', 
-        'llama-3-8b-chat', 
-        'llama-3-8b-chat-turbo', 
-        'llama-3-70b-chat-lite', 
-        'llama-3-8b-chat-lite', 
-        'llama-2-13b-chat', 
-        'llama-3.1-405b-turbo', 
-        'llama-3.1-70b-turbo', 
-        'llama-3.1-8b-turbo', 
-        'LlamaGuard-2-8b', 
-        'Llama-Guard-7b', 
-        'Llama-3.2-90B-Vision-Instruct-Turbo',
-        'Mixtral-8x7B-Instruct-v0.1', 
-        'Mixtral-8x22B-Instruct-v0.1', 
-        'Mistral-7B-Instruct-v0.1', 
-        'Mistral-7B-Instruct-v0.2', 
-        'Mistral-7B-Instruct-v0.3', 
-        'Qwen1.5-7B-Chat', 
-        'Qwen1.5-14B-Chat', 
-        'Qwen1.5-72B-Chat', 
-        'Qwen1.5-110B-Chat', 
-        'Qwen2-72B-Instruct', 
-        'gemma-2b-it', 
-        'gemma-2-9b-it', 
-        'gemma-2-27b-it', 
-        'gemini-1.5-flash', 
-        'gemini-1.5-pro', 
-        'deepseek-llm-67b-chat', 
-        'Nous-Hermes-2-Mixtral-8x7B-DPO', 
-        'Nous-Hermes-2-Yi-34B', 
-        'WizardLM-2-8x22B', 
-        'SOLAR-10.7B-Instruct-v1.0', 
-        'MythoMax-L2-13b', 
-        'cosmosrp', 
-    ]
-    
-    image_models = [
-        'flux',
-        'flux-realism',
-        'flux-anime',
-        'flux-3d',
-        'flux-disney',
-        'flux-pixel',
-        'flux-4o',
-        'any-dark',
-    ]
-    
-    models = [
-        *text_models,
-        *image_models,
-    ]
+    default_model = AirforceChat.default_model
+    models = [*AirforceChat.text_models, *AirforceImage.image_models]
     
     model_aliases = {
-        "claude-3-haiku": "claude-3-haiku-20240307",
-        "claude-3-sonnet": "claude-3-sonnet-20240229",
-        "gpt-4o": "chatgpt-4o-latest",
-        "llama-3-70b": "llama-3-70b-chat",
-        "llama-3-8b": "llama-3-8b-chat",
-        "mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1",
-        "qwen-1.5-7b": "Qwen1.5-7B-Chat",
-        "gemma-2b": "gemma-2b-it",
-        "gemini-flash": "gemini-1.5-flash",
-        "mythomax-l2-13b": "MythoMax-L2-13b",
-        "solar-10.7b": "SOLAR-10.7B-Instruct-v1.0",
+        **AirforceChat.model_aliases,
+        **AirforceImage.model_aliases
     }
 
     @classmethod
@@ -107,139 +32,28 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
         if model in cls.models:
             return model
         elif model in cls.model_aliases:
-            return cls.model_aliases.get(model, cls.default_model)
+            return cls.model_aliases[model]
         else:
             return cls.default_model
 
     @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        seed: int = None,
-        size: str = "1:1",
-        stream: bool = False,
-        **kwargs
-    ) -> AsyncResult:
+    async def create_async_generator(cls, model: str, messages: Messages, **kwargs) -> AsyncResult:
         model = cls.get_model(model)
+        
+        provider = AirforceChat if model in AirforceChat.text_models else AirforceImage
 
-        if model in cls.image_models:
-            async for result in cls._generate_image(model, messages, proxy, seed, size):
-                yield result
-        elif model in cls.text_models:
-            async for result in cls._generate_text(model, messages, proxy, stream):
-                yield result
-    
-    @classmethod
-    async def _generate_image(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        seed: int = None,
-        size: str = "1:1",
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "accept": "*/*",
-            "accept-language": "en-US,en;q=0.9",
-            "cache-control": "no-cache",
-            "origin": "https://llmplayground.net",
-            "user-agent": "Mozilla/5.0"
-        }
-
-        if seed is None:
-            seed = random.randint(0, 100000)
-
-        prompt = messages[-1]['content']
-
-        async with ClientSession(headers=headers) as session:
-            params = {
-                "model": model,
-                "prompt": prompt,
-                "size": size,
-                "seed": seed
-            }
-            async with session.get(f"{cls.image_api_endpoint}", params=params, proxy=proxy) as response:
-                response.raise_for_status()
-                content_type = response.headers.get('Content-Type', '').lower()
+        if model not in provider.models:
+            raise ValueError(f"Unsupported model: {model}")
 
-                if 'application/json' in content_type:
-                    async for chunk in response.content.iter_chunked(1024):
-                        if chunk:
-                            yield chunk.decode('utf-8')
-                elif 'image' in content_type:
-                    image_data = b""
-                    async for chunk in response.content.iter_chunked(1024):
-                        if chunk:
-                            image_data += chunk
-                    image_url = f"{cls.image_api_endpoint}?model={model}&prompt={prompt}&size={size}&seed={seed}"
-                    alt_text = f"Generated image for prompt: {prompt}"
-                    yield ImageResponse(images=image_url, alt=alt_text)
-
-    @classmethod
-    async def _generate_text(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        stream: bool = False,
-        **kwargs
-    ) -> AsyncResult:
-        headers = {
-            "accept": "*/*",
-            "accept-language": "en-US,en;q=0.9",
-            "authorization": "Bearer missing api key",
-            "content-type": "application/json",
-            "user-agent": "Mozilla/5.0"
-        }
+        # Get the signature of the provider's create_async_generator method
+        sig = inspect.signature(provider.create_async_generator)
+        
+        # Filter kwargs to only include parameters that the provider's method accepts
+        filtered_kwargs = {k: v for k, v in kwargs.items() if k in sig.parameters}
 
-        async with ClientSession(headers=headers) as session:
-            formatted_prompt = cls._format_messages(messages)
-            prompt_parts = split_long_message(formatted_prompt)
-            full_response = ""
+        # Add model and messages to filtered_kwargs
+        filtered_kwargs['model'] = model
+        filtered_kwargs['messages'] = messages
 
-            for part in prompt_parts:
-                data = {
-                    "messages": [{"role": "user", "content": part}],
-                    "model": model,
-                    "max_tokens": 4096,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "stream": stream
-                }
-                async with session.post(cls.text_api_endpoint, json=data, proxy=proxy) as response:
-                    response.raise_for_status()
-                    part_response = ""
-                    if stream:
-                        async for line in response.content:
-                            if line:
-                                line = line.decode('utf-8').strip()
-                                if line.startswith("data: ") and line != "data: [DONE]":
-                                    json_data = json.loads(line[6:])
-                                    content = json_data['choices'][0]['delta'].get('content', '')
-                                    part_response += content
-                    else:
-                        json_data = await response.json()
-                        content = json_data['choices'][0]['message']['content']
-                        part_response = content
-
-                    part_response = re.sub(
-                        r"One message exceeds the \d+chars per message limit\..+https:\/\/discord\.com\/invite\/\S+",
-                        '',
-                        part_response
-                    )
-                    
-                    part_response = re.sub(
-                        r"Rate limit \(\d+\/minute\) exceeded\. Join our discord for more: .+https:\/\/discord\.com\/invite\/\S+",
-                        '',
-                        part_response
-                    )
-
-                    full_response += part_response
-            yield full_response
-
-    @classmethod
-    def _format_messages(cls, messages: Messages) -> str:
-        return " ".join([msg['content'] for msg in messages])
+        async for result in provider.create_async_generator(**filtered_kwargs):
+            yield result
diff --git a/g4f/Provider/airforce/AirforceChat.py b/g4f/Provider/airforce/AirforceChat.py
new file mode 100644
index 00000000..b4b1eca3
--- /dev/null
+++ b/g4f/Provider/airforce/AirforceChat.py
@@ -0,0 +1,375 @@
+from __future__ import annotations
+import re
+from aiohttp import ClientSession
+import json
+from typing import List
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+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
+    ]
+
+    for pattern in patterns:
+        text = re.sub(pattern, '', text)
+    return text.strip()
+
+def split_message(message: dict, chunk_size: int = 995) -> List[dict]:
+    """Split a message into chunks of specified size."""
+    content = message.get('content', '')
+    if len(content) <= chunk_size:
+        return [message]
+
+    chunks = []
+    while content:
+        chunk = content[:chunk_size]
+        content = content[chunk_size:]
+        chunks.append({
+            'role': message['role'],
+            'content': chunk
+        })
+    return chunks
+
+def split_messages(messages: Messages, chunk_size: int = 995) -> Messages:
+    """Split all messages that exceed chunk_size into smaller messages."""
+    result = []
+    for message in messages:
+        result.extend(split_message(message, chunk_size))
+    return result
+
+class AirforceChat(AsyncGeneratorProvider, ProviderModelMixin):
+    label = "AirForce Chat"
+    api_endpoint_completions = "https://api.airforce/chat/completions"  # Замініть на реальний ендпоінт
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
+
+    default_model = 'llama-3-70b-chat'
+    text_models = [
+        # anthropic
+        'claude-3-haiku-20240307', 
+        'claude-3-sonnet-20240229', 
+        'claude-3-5-sonnet-20240620', 
+        'claude-3-5-sonnet-20241022', 
+        'claude-3-opus-20240229', 
+        
+        # openai
+        'chatgpt-4o-latest',
+        'gpt-4',
+        'gpt-4-turbo',
+        'gpt-4o-2024-05-13',
+        'gpt-4o-mini-2024-07-18',
+        'gpt-4o-mini',
+        'gpt-4o-2024-08-06',
+        'gpt-3.5-turbo',
+        'gpt-3.5-turbo-0125',
+        'gpt-3.5-turbo-1106',
+        'gpt-4o',
+        'gpt-4-turbo-2024-04-09',
+        'gpt-4-0125-preview',
+        'gpt-4-1106-preview',
+        
+        # meta-llama
+        default_model,
+        'llama-3-70b-chat-turbo',
+        'llama-3-8b-chat',
+        'llama-3-8b-chat-turbo',
+        'llama-3-70b-chat-lite',
+        'llama-3-8b-chat-lite',
+        'llama-2-13b-chat',
+        'llama-3.1-405b-turbo',
+        'llama-3.1-70b-turbo',
+        'llama-3.1-8b-turbo',
+        'LlamaGuard-2-8b',
+        'llamaguard-7b',
+        'Llama-Vision-Free',
+        'Llama-Guard-7b',
+        'Llama-3.2-90B-Vision-Instruct-Turbo',
+        'Meta-Llama-Guard-3-8B',
+        'Llama-3.2-11B-Vision-Instruct-Turbo',
+        'Llama-Guard-3-11B-Vision-Turbo',
+        'Llama-3.2-3B-Instruct-Turbo',
+        'Llama-3.2-1B-Instruct-Turbo',
+        'llama-2-7b-chat-int8',
+        'llama-2-7b-chat-fp16',
+        'Llama 3.1 405B Instruct',
+        'Llama 3.1 70B Instruct',
+        'Llama 3.1 8B Instruct',
+        
+        # mistral-ai
+        'Mixtral-8x7B-Instruct-v0.1',
+        'Mixtral-8x22B-Instruct-v0.1',
+        'Mistral-7B-Instruct-v0.1',
+        'Mistral-7B-Instruct-v0.2',
+        'Mistral-7B-Instruct-v0.3',
+        
+        # Gryphe
+        'MythoMax-L2-13b-Lite',
+        'MythoMax-L2-13b',
+        
+        # openchat
+        'openchat-3.5-0106',
+        
+        # qwen
+        #'Qwen1.5-72B-Chat', Пуста відповідь
+        #'Qwen1.5-110B-Chat', Пуста відповідь
+        'Qwen2-72B-Instruct',
+        'Qwen2.5-7B-Instruct-Turbo',
+        'Qwen2.5-72B-Instruct-Turbo',
+        
+        # google
+        'gemma-2b-it',
+        'gemma-2-9b-it',
+        'gemma-2-27b-it',
+        
+        # gemini
+        'gemini-1.5-flash',
+        'gemini-1.5-pro',
+        
+        # databricks
+        'dbrx-instruct',
+        
+        # deepseek-ai
+        'deepseek-coder-6.7b-base',
+        'deepseek-coder-6.7b-instruct',
+        'deepseek-math-7b-instruct',
+        
+        # NousResearch
+        'deepseek-math-7b-instruct',
+        'Nous-Hermes-2-Mixtral-8x7B-DPO',
+        'hermes-2-pro-mistral-7b',
+        
+        # teknium
+        'openhermes-2.5-mistral-7b',
+        
+        # microsoft
+        'WizardLM-2-8x22B',
+        'phi-2',
+        
+        # upstage
+        'SOLAR-10.7B-Instruct-v1.0',
+        
+        # pawan
+        'cosmosrp',
+        
+        # liquid
+        'lfm-40b-moe',
+        
+        # DiscoResearch
+        'discolm-german-7b-v1',
+        
+        # tiiuae
+        'falcon-7b-instruct',
+        
+        # defog
+        'sqlcoder-7b-2',
+        
+        # tinyllama
+        'tinyllama-1.1b-chat',
+        
+        # HuggingFaceH4
+        'zephyr-7b-beta',
+    ]
+    
+    models = [*text_models]
+    
+    model_aliases = {
+		# anthropic
+		"claude-3-haiku": "claude-3-haiku-20240307",
+		"claude-3-sonnet": "claude-3-sonnet-20240229",
+		"claude-3.5-sonnet": "claude-3-5-sonnet-20240620",
+		"claude-3.5-sonnet": "claude-3-5-sonnet-20241022",
+		"claude-3-opus": "claude-3-opus-20240229",
+
+		# openai
+		"gpt-4o": "chatgpt-4o-latest",
+		#"gpt-4": "gpt-4",
+		#"gpt-4-turbo": "gpt-4-turbo",
+		"gpt-4o": "gpt-4o-2024-05-13",
+		"gpt-4o-mini": "gpt-4o-mini-2024-07-18",
+		#"gpt-4o-mini": "gpt-4o-mini",
+		"gpt-4o": "gpt-4o-2024-08-06",
+		"gpt-3.5-turbo": "gpt-3.5-turbo",
+		"gpt-3.5-turbo": "gpt-3.5-turbo-0125",
+		"gpt-3.5-turbo": "gpt-3.5-turbo-1106",
+		#"gpt-4o": "gpt-4o",
+		"gpt-4-turbo": "gpt-4-turbo-2024-04-09",
+		"gpt-4": "gpt-4-0125-preview",
+		"gpt-4": "gpt-4-1106-preview",
+
+		# meta-llama
+		"llama-3-70b": "llama-3-70b-chat",
+		"llama-3-8b": "llama-3-8b-chat",
+		"llama-3-8b": "llama-3-8b-chat-turbo",
+		"llama-3-70b": "llama-3-70b-chat-lite",
+		"llama-3-8b": "llama-3-8b-chat-lite",
+		"llama-2-13b": "llama-2-13b-chat",
+		"llama-3.1-405b": "llama-3.1-405b-turbo",
+		"llama-3.1-70b": "llama-3.1-70b-turbo",
+		"llama-3.1-8b": "llama-3.1-8b-turbo",
+		"llamaguard-2-8b": "LlamaGuard-2-8b",
+		"llamaguard-7b": "llamaguard-7b",
+		#"llama_vision_free": "Llama-Vision-Free", # Unknown
+		"llamaguard-7b": "Llama-Guard-7b",
+		"llama-3.2-90b": "Llama-3.2-90B-Vision-Instruct-Turbo",
+		"llamaguard-3-8b": "Meta-Llama-Guard-3-8B",
+		"llama-3.2-11b": "Llama-3.2-11B-Vision-Instruct-Turbo",
+		"llamaguard-3-11b": "Llama-Guard-3-11B-Vision-Turbo",
+		"llama-3.2-3b": "Llama-3.2-3B-Instruct-Turbo",
+		"llama-3.2-1b": "Llama-3.2-1B-Instruct-Turbo",
+		"llama-2-7b": "llama-2-7b-chat-int8",
+		"llama-2-7b": "llama-2-7b-chat-fp16",
+		"llama-3.1-405b": "Llama 3.1 405B Instruct",
+		"llama-3.1-70b": "Llama 3.1 70B Instruct",
+		"llama-3.1-8b": "Llama 3.1 8B Instruct",
+
+		# mistral-ai
+		"mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1",
+		"mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1",
+		"mixtral-8x7b": "Mistral-7B-Instruct-v0.1",
+		"mixtral-8x7b": "Mistral-7B-Instruct-v0.2",
+		"mixtral-8x7b": "Mistral-7B-Instruct-v0.3",
+
+		# Gryphe
+		"mythomax-13b": "MythoMax-L2-13b-Lite",
+		"mythomax-13b": "MythoMax-L2-13b",
+
+		# openchat
+		"openchat-3.5": "openchat-3.5-0106",
+
+		# qwen
+		#"qwen-1.5-72b": "Qwen1.5-72B-Chat", # Empty answer
+		#"qwen-1.5-110b": "Qwen1.5-110B-Chat", # Empty answer
+		"qwen-2-72b": "Qwen2-72B-Instruct",
+		"qwen-2-5-7b": "Qwen2.5-7B-Instruct-Turbo",
+		"qwen-2-5-72b": "Qwen2.5-72B-Instruct-Turbo",
+
+		# google
+		"gemma-2b": "gemma-2b-it",
+		"gemma-2-9b": "gemma-2-9b-it",
+		"gemma-2b-27b": "gemma-2-27b-it",
+
+		# gemini
+		"gemini-flash": "gemini-1.5-flash",
+		"gemini-pro": "gemini-1.5-pro",
+
+		# databricks
+		"dbrx-instruct": "dbrx-instruct",
+
+		# deepseek-ai
+		#"deepseek-coder": "deepseek-coder-6.7b-base",
+		"deepseek-coder": "deepseek-coder-6.7b-instruct",
+		#"deepseek-math": "deepseek-math-7b-instruct",
+
+		# NousResearch
+		#"deepseek-math": "deepseek-math-7b-instruct",
+		"hermes-2-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
+		"hermes-2": "hermes-2-pro-mistral-7b",
+
+		# teknium
+		"openhermes-2.5": "openhermes-2.5-mistral-7b",
+
+		# microsoft
+		"wizardlm-2-8x22b": "WizardLM-2-8x22B",
+		#"phi-2": "phi-2",
+
+		# upstage
+		"solar-10-7b": "SOLAR-10.7B-Instruct-v1.0",
+
+		# pawan
+		#"cosmosrp": "cosmosrp",
+
+		# liquid
+		"lfm-40b": "lfm-40b-moe",
+
+		# DiscoResearch
+		"german-7b": "discolm-german-7b-v1",
+
+		# tiiuae
+		#"falcon-7b": "falcon-7b-instruct",
+
+		# defog
+		#"sqlcoder-7b": "sqlcoder-7b-2",
+
+		# tinyllama
+		#"tinyllama-1b": "tinyllama-1.1b-chat",
+
+		# HuggingFaceH4
+		"zephyr-7b": "zephyr-7b-beta",
+    }
+
+    @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)
+
+        chunked_messages = split_messages(messages)
+
+        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'
+        }
+
+        data = {
+            "messages": chunked_messages,
+            "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_completions, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                text = ""
+                if stream:
+                    async for line in response.content:
+                        line = line.decode('utf-8')
+                        if line.startswith('data: '):
+                            json_str = line[6:]
+                            try:
+                                chunk = json.loads(json_str)
+                                if 'choices' in chunk and chunk['choices']:
+                                    content = chunk['choices'][0].get('delta', {}).get('content', '')
+                                    text += content # Збираємо дельти
+                            except json.JSONDecodeError as e:
+                                print(f"Error decoding JSON: {json_str}, Error: {e}")
+                        elif line.strip() == "[DONE]":
+                            break
+                    yield clean_response(text)
+                else:
+                    response_json = await response.json()
+                    text = response_json["choices"][0]["message"]["content"]
+                    yield clean_response(text)
+
diff --git a/g4f/Provider/airforce/AirforceImage.py b/g4f/Provider/airforce/AirforceImage.py
new file mode 100644
index 00000000..010d1a94
--- /dev/null
+++ b/g4f/Provider/airforce/AirforceImage.py
@@ -0,0 +1,97 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+import random
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ...image import ImageResponse
+
+
+class AirforceImage(AsyncGeneratorProvider, ProviderModelMixin):
+    label = "Airforce Image"
+    #url = "https://api.airforce"
+    api_endpoint_imagine2 = "https://api.airforce/imagine2"
+    #working = True
+    
+    default_model = 'flux'
+    image_models = [
+        'flux',
+        'flux-realism',
+        'flux-anime',
+        'flux-3d',
+        'flux-disney',
+        'flux-pixel',
+        'flux-4o',
+        'any-dark',
+        'stable-diffusion-xl-base',
+        'stable-diffusion-xl-lightning',
+    ]
+    models = [*image_models]
+    
+    model_aliases = {
+        "sdxl": "stable-diffusion-xl-base",
+        "sdxl": "stable-diffusion-xl-lightning",
+    }
+
+
+    @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
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        size: str = '1:1',
+        proxy: str = None,
+        **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',
+            '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'
+        }
+        
+        async with ClientSession(headers=headers) as session:
+            prompt = messages[-1]['content']
+            seed = random.randint(0, 4294967295)
+            params = {
+                'model': model,
+                'prompt': prompt,
+                'size': size,
+                'seed': str(seed)
+            }
+            async with session.get(cls.api_endpoint_imagine2, params=params, proxy=proxy) as response:
+                response.raise_for_status()
+                if response.status == 200:
+                    content_type = response.headers.get('Content-Type', '')
+                    if 'image' in content_type:
+                        image_url = str(response.url)
+                        yield ImageResponse(image_url, alt="Airforce generated image") 
+                    else:
+                        content = await response.text()
+                        yield f"Unexpected content type: {content_type}\nResponse content: {content}"
+                else:
+                    error_content = await response.text()
+                    yield f"Error: {error_content}"
diff --git a/g4f/Provider/airforce/__init__.py b/g4f/Provider/airforce/__init__.py
new file mode 100644
index 00000000..5ffa6d31
--- /dev/null
+++ b/g4f/Provider/airforce/__init__.py
@@ -0,0 +1,2 @@
+from .AirforceChat        import AirforceChat
+from .AirforceImage       import AirforceImage
diff --git a/g4f/models.py b/g4f/models.py
index bea09f28..ae3d430d 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -130,7 +130,7 @@ gpt_3 = Model(
 gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots])
+    best_provider = IterListProvider([Allyfy, NexraChatGPT, DarkAI, Airforce, Liaobots])
 )
 
 # gpt-4
@@ -191,7 +191,7 @@ meta = Model(
 llama_2_7b = Model(
     name          = "llama-2-7b",
     base_provider = "Meta Llama",
-    best_provider = Cloudflare
+    best_provider = IterListProvider([Cloudflare, Airforce])
 )
 
 llama_2_13b = Model(
@@ -217,13 +217,13 @@ llama_3_70b = Model(
 llama_3_1_8b = Model(
     name          = "llama-3.1-8b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, GizAI, PerplexityLabs])
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, GizAI, Airforce, 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, GizAI, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, AiMathGPT, RubiksAI, GizAI, Airforce, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(
@@ -236,19 +236,19 @@ llama_3_1_405b = Model(
 llama_3_2_1b = Model(
     name          = "llama-3.2-1b",
     base_provider = "Meta Llama",
-    best_provider = Cloudflare
+    best_provider = IterListProvider([Cloudflare, Airforce])
 )
 
 llama_3_2_3b = Model(
     name          = "llama-3.2-3b",
     base_provider = "Meta Llama",
-    best_provider = Cloudflare
+    best_provider = IterListProvider([Cloudflare, Airforce])
 )
 
 llama_3_2_11b = Model(
     name          = "llama-3.2-11b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Cloudflare, HuggingChat, HuggingFace])
+    best_provider = IterListProvider([Cloudflare, HuggingChat, Airforce, HuggingFace])
 )
 
 llama_3_2_90b = Model(
@@ -271,6 +271,18 @@ llamaguard_2_8b = Model(
     best_provider = Airforce
 )
 
+llamaguard_3_8b = Model(
+    name          = "llamaguard-3-8b",
+    base_provider = "Meta Llama",
+    best_provider = Airforce
+)
+
+llamaguard_3_11b = Model(
+    name          = "llamaguard-3-11b",
+    base_provider = "Meta Llama",
+    best_provider = Airforce
+)
+
 
 ### Mistral ###
 mistral_7b = Model(
@@ -305,14 +317,14 @@ mistral_large = Model(
 
 
 ### NousResearch ###
-mixtral_8x7b_dpo = Model(
-    name          = "mixtral-8x7b-dpo",
+hermes_2 = Model(
+    name          = "hermes-2",
     base_provider = "NousResearch",
     best_provider = Airforce
 )
 
-yi_34b = Model(
-    name          = "yi-34b",
+hermes_2_dpo = Model(
+    name          = "hermes-2-dpo",
     base_provider = "NousResearch",
     best_provider = Airforce
 )
@@ -328,7 +340,7 @@ hermes_3 = Model(
 phi_2 = Model(
     name          = "phi-2",
     base_provider = "Microsoft",
-    best_provider = Cloudflare
+    best_provider = IterListProvider([Cloudflare, Airforce])
 )
 
 phi_3_medium_4k = Model(
@@ -364,10 +376,10 @@ gemini = Model(
 )
 
 # gemma
-gemma_2b_9b = Model(
-    name          = 'gemma-2b-9b',
+gemma_2b = Model(
+    name          = 'gemma-2b',
     base_provider = 'Google',
-    best_provider = Airforce
+    best_provider = IterListProvider([ReplicateHome, Airforce])
 )
 
 gemma_2b_27b = Model(
@@ -376,12 +388,6 @@ gemma_2b_27b = Model(
     best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
-gemma_2b = Model(
-    name          = 'gemma-2b',
-    base_provider = 'Google',
-    best_provider = IterListProvider([ReplicateHome, Airforce])
-)
-
 gemma_7b = Model(
     name          = 'gemma-7b',
     base_provider = 'Google',
@@ -389,18 +395,18 @@ gemma_7b = Model(
 )
 
 # gemma 2
-gemma_2_27b = Model(
-    name          = 'gemma-2-27b',
-    base_provider = 'Google',
-    best_provider = Airforce
-)
-
 gemma_2 = Model(
     name          = 'gemma-2',
     base_provider = 'Google',
     best_provider = ChatHub
 )
 
+gemma_2_9b = Model(
+    name          = 'gemma-2-9b',
+    base_provider = 'Google',
+    best_provider = Airforce
+)
+
 
 ### Anthropic ###
 claude_2_1 = Model(
@@ -413,26 +419,26 @@ claude_2_1 = Model(
 claude_3_opus = Model(
     name          = 'claude-3-opus',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Airforce, Liaobots])
+    best_provider = IterListProvider([Liaobots])
 )
 
 claude_3_sonnet = Model(
     name          = 'claude-3-sonnet',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Airforce, Liaobots])
+    best_provider = IterListProvider([Liaobots])
 )
 
 claude_3_haiku = Model(
     name          = 'claude-3-haiku',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([DDG, Airforce, GizAI, Liaobots])
+    best_provider = IterListProvider([DDG, 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, GizAI, Liaobots])
+    best_provider = IterListProvider([Blackbox, Editee, AmigoChat, GizAI, Liaobots])
 )
 
 
@@ -493,40 +499,34 @@ qwen_1_5_0_5b = Model(
 qwen_1_5_7b = Model(
     name = 'qwen-1.5-7b',
     base_provider = 'Qwen',
-    best_provider = IterListProvider([Cloudflare, Airforce])
+    best_provider = IterListProvider([Cloudflare])
 )
 
 qwen_1_5_14b = Model(
     name = 'qwen-1.5-14b',
     base_provider = 'Qwen',
-    best_provider = IterListProvider([FreeChatgpt, Cloudflare, Airforce])
+    best_provider = IterListProvider([FreeChatgpt, Cloudflare])
 )
 
-qwen_1_5_72b = Model(
-    name = 'qwen-1.5-72b',
+# qwen 2
+qwen_2_72b = Model(
+    name = 'qwen-2-72b',
     base_provider = 'Qwen',
-    best_provider = Airforce
+    best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
 )
 
-qwen_1_5_110b = Model(
-    name = 'qwen-1.5-110b',
+qwen_2_5_7b = Model(
+    name = 'qwen-2-5-7b',
     base_provider = 'Qwen',
     best_provider = Airforce
 )
 
-qwen_1_5_1_8b = Model(
-    name = 'qwen-1.5-1.8b',
+qwen_2_5_72b = Model(
+    name = 'qwen-2-5-72b',
     base_provider = 'Qwen',
     best_provider = Airforce
 )
 
-# qwen 2
-qwen_2_72b = Model(
-    name = 'qwen-2-72b',
-    base_provider = 'Qwen',
-    best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
-)
-
 qwen = Model(
     name = 'qwen',
     base_provider = 'Qwen',
@@ -556,18 +556,18 @@ yi_1_5_9b = Model(
 )
 
 ### Upstage ###
-solar_1_mini = Model(
-    name = 'solar-1-mini',
-    base_provider = 'Upstage',
-    best_provider = Upstage
-)
-
 solar_10_7b = Model(
     name = 'solar-10-7b',
     base_provider = 'Upstage',
     best_provider = Airforce
 )
 
+solar_mini = Model(
+    name = 'solar-mini',
+    base_provider = 'Upstage',
+    best_provider = Upstage
+)
+
 solar_pro = Model(
     name = 'solar-pro',
     base_provider = 'Upstage',
@@ -583,8 +583,8 @@ pi = Model(
 )
 
 ### DeepSeek ###
-deepseek = Model(
-    name = 'deepseek',
+deepseek_coder = Model(
+    name = 'deepseek-coder',
     base_provider = 'DeepSeek',
     best_provider = Airforce
 )
@@ -630,7 +630,7 @@ lzlv_70b = Model(
 openchat_3_5 = Model(
     name = 'openchat-3.5',
     base_provider = 'OpenChat',
-    best_provider = Cloudflare
+    best_provider = IterListProvider([Cloudflare])
 )
 
 openchat_3_6_8b = Model(
@@ -683,23 +683,6 @@ sonar_chat = Model(
     best_provider = PerplexityLabs
 )
 
-
-### Gryphe ### 
-mythomax_l2_13b = Model(
-    name = 'mythomax-l2-13b',
-    base_provider = 'Gryphe',
-    best_provider = Airforce
-)
-
-
-### Pawan ### 
-cosmosrp = Model(
-    name = 'cosmosrp',
-    base_provider = 'Pawan',
-    best_provider = Airforce
-)
-
-
 ### TheBloke ### 
 german_7b = Model(
     name = 'german-7b',
@@ -708,14 +691,6 @@ german_7b = Model(
 )
 
 
-### Tinyllama ### 
-tinyllama_1_1b = Model(
-    name = 'tinyllama-1.1b',
-    base_provider = 'Tinyllama',
-    best_provider = Cloudflare
-)
-
-
 ### Fblgit ### 
 cybertron_7b = Model(
     name = 'cybertron-7b',
@@ -723,6 +698,7 @@ cybertron_7b = Model(
     best_provider = Cloudflare
 )
 
+
 ### Nvidia ### 
 nemotron_70b = Model(
     name = 'nemotron-70b',
@@ -731,6 +707,46 @@ nemotron_70b = Model(
 )
 
 
+### Teknium ### 
+openhermes_2_5 = Model(
+    name = 'openhermes-2.5',
+    base_provider = 'Teknium',
+    best_provider = Airforce
+)
+
+
+### Pawan ### 
+cosmosrp = Model(
+    name = 'cosmosrp',
+    base_provider = 'Pawan',
+    best_provider = Airforce
+)
+
+
+### Liquid ### 
+lfm_40b = Model(
+    name = 'lfm-40b',
+    base_provider = 'Liquid',
+    best_provider = Airforce
+)
+
+
+### DiscoResearch ### 
+german_7b = Model(
+    name = 'german-7b',
+    base_provider = 'DiscoResearch',
+    best_provider = Airforce
+)
+
+
+### HuggingFaceH4 ### 
+zephyr_7b = Model(
+    name = 'zephyr-7b',
+    base_provider = 'HuggingFaceH4',
+    best_provider = Airforce
+)
+
+
 
 #############
 ### Image ###
@@ -754,7 +770,7 @@ sdxl_lora = Model(
 sdxl = Model(
     name = 'sdxl',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome])
+    best_provider = IterListProvider([ReplicateHome, Airforce])
     
 )
 
@@ -947,6 +963,8 @@ class ModelUtils:
 # llamaguard
 'llamaguard-7b': llamaguard_7b,
 'llamaguard-2-8b': llamaguard_2_8b,
+'llamaguard-3-8b': llamaguard_3_8b,
+'llamaguard-3-11b': llamaguard_3_11b,
       
         
 ### Mistral ###
@@ -958,17 +976,17 @@ class ModelUtils:
      
      
 ### NousResearch ###
-'mixtral-8x7b-dpo': mixtral_8x7b_dpo,
+'hermes-2': hermes_2,
+'hermes-2-dpo': hermes_2_dpo,
 'hermes-3': hermes_3,
- 
-'yi-34b': yi_34b,   
-        
-        
+
+                
 ### Microsoft ###
 'phi-2': phi_2,
 'phi_3_medium-4k': phi_3_medium_4k,
 'phi-3.5-mini': phi_3_5_mini,
 
+
 ### Google ###
 # gemini
 'gemini': gemini,
@@ -977,13 +995,12 @@ class ModelUtils:
         
 # gemma
 'gemma-2b': gemma_2b,
-'gemma-2b-9b': gemma_2b_9b,
 'gemma-2b-27b': gemma_2b_27b,
 'gemma-7b': gemma_7b,
 
 # gemma-2
 'gemma-2': gemma_2,
-'gemma-2-27b': gemma_2_27b,
+'gemma-2-9b': gemma_2_9b,
 
 
 ### Anthropic ###
@@ -1028,10 +1045,9 @@ class ModelUtils:
 'qwen-1.5-0.5b': qwen_1_5_0_5b,
 'qwen-1.5-7b': qwen_1_5_7b,
 'qwen-1.5-14b': qwen_1_5_14b,
-'qwen-1.5-72b': qwen_1_5_72b,
-'qwen-1.5-110b': qwen_1_5_110b,
-'qwen-1.5-1.8b': qwen_1_5_1_8b,
 'qwen-2-72b': qwen_2_72b,
+'qwen-2-5-7b': qwen_2_5_7b,
+'qwen-2-5-72b': qwen_2_5_72b,
         
         
 ### Zhipu AI ###
@@ -1044,16 +1060,17 @@ class ModelUtils:
         
         
 ### Upstage ###
-'solar-mini': solar_1_mini,
 'solar-10-7b': solar_10_7b,
+'solar-mini': solar_mini,
 'solar-pro': solar_pro,
 
 
 ### Inflection ###
 'pi': pi,
 
+
 ### DeepSeek ###
-'deepseek': deepseek,
+'deepseek-coder': deepseek_coder,
      
         
 ### Yorickvp ###
@@ -1094,30 +1111,38 @@ class ModelUtils:
 ### Perplexity AI ###
 'sonar-online': sonar_online,
 'sonar-chat': sonar_chat,
-
-
-### Gryphe ###   
-'mythomax-l2-13b': sonar_chat,
-
-   
-### Pawan ###   
-'cosmosrp': cosmosrp,
-        
+     
         
 ### TheBloke ###   
 'german-7b': german_7b,
 
 
-### Tinyllama ###   
-'tinyllama-1.1b': tinyllama_1_1b,
-
-
 ### Fblgit ###   
 'cybertron-7b': cybertron_7b,
         
         
 ### Nvidia ###   
 'nemotron-70b': nemotron_70b,
+
+
+### Teknium ###   
+'openhermes-2.5': openhermes_2_5,
+        
+        
+### Pawan ###   
+'cosmosrp': cosmosrp,
+
+
+### Liquid ###   
+'lfm-40b': lfm_40b,
+      
+        
+### DiscoResearch ###   
+'german-7b': german_7b,
+
+
+### HuggingFaceH4 ###   
+'zephyr-7b': zephyr_7b,