17 files changed, 27 insertions, 279 deletions

diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index 3ec08b99..e7907cec 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -37,7 +37,7 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
         'gpt-3.5-turbo', 
         'gpt-3.5-turbo-0125', 
         'gpt-3.5-turbo-1106', 
-        'llama-3-70b-chat', 
+        default_model,
         'llama-3-70b-chat-turbo', 
         'llama-3-8b-chat', 
         'llama-3-8b-chat-turbo', 
diff --git a/g4f/Provider/Binjie.py b/g4f/Provider/Binjie.py
deleted file mode 100644
index 90f9ec3c..00000000
--- a/g4f/Provider/Binjie.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from __future__ import annotations
-
-import random
-from ..requests import StreamSession
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, format_prompt
-
-
-class Binjie(AsyncGeneratorProvider):
-    url = "https://chat18.aichatos8.com"
-    working = True
-    supports_gpt_4 = True
-    supports_stream = True
-    supports_system_message = True
-    supports_message_history = True
-
-    @staticmethod
-    async def create_async_generator(
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        timeout: int = 120,
-        **kwargs,
-    ) -> AsyncResult:
-        async with StreamSession(
-            headers=_create_header(), proxies={"https": proxy}, timeout=timeout
-        ) as session:
-            payload = _create_payload(messages, **kwargs)
-            async with session.post("https://api.binjie.fun/api/generateStream", json=payload) as response:
-                response.raise_for_status()
-                async for chunk in response.iter_content():
-                    if chunk:
-                        chunk = chunk.decode()
-                        if "sorry, 您的ip已由于触发防滥用检测而被封禁" in chunk:
-                            raise RuntimeError("IP address is blocked by abuse detection.")
-                        yield chunk
-
-
-def _create_header():
-    return {
-        "accept"        : "application/json, text/plain, */*",
-        "content-type"  : "application/json",
-        "origin"        : "https://chat18.aichatos8.com",
-        "referer"       : "https://chat18.aichatos8.com/"
-    }
-
-
-def _create_payload(
-    messages: Messages,
-    system_message: str = "",
-    user_id: int = None,
-    **kwargs
-):
-    if not user_id:
-        user_id = random.randint(1690000544336, 2093025544336)
-    return {
-        "prompt": format_prompt(messages),
-        "network": True,
-        "system": system_message,
-        "withoutContext": False,
-        "stream": True,
-        "userId": f"#/chat/{user_id}"
-    }
-
diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py
index 3bc49dc4..5989145b 100644
--- a/g4f/Provider/Blackbox.py
+++ b/g4f/Provider/Blackbox.py
@@ -80,7 +80,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
         "gpt-4o": "gpt-4o",
         "gemini-pro": "gemini-pro",
         'claude-sonnet-3.5': "claude-sonnet-3.5",
-        'blackboxai-pro': "blackboxai-pro",
     }
     
     model_prefixes = {
@@ -107,7 +106,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
     
     model_referers = {
         "blackboxai": f"{url}/?model=blackboxai",
-        "blackboxai-pro": f"{url}/?model=blackboxai-pro",
         "gpt-4o": f"{url}/?model=gpt-4o",
         "gemini-pro": f"{url}/?model=gemini-pro",
         "claude-sonnet-3.5": f"{url}/?model=claude-sonnet-3.5"
diff --git a/g4f/Provider/ChatifyAI.py b/g4f/Provider/ChatifyAI.py
index c5b4a104..a999afac 100644
--- a/g4f/Provider/ChatifyAI.py
+++ b/g4f/Provider/ChatifyAI.py
@@ -17,10 +17,18 @@ class ChatifyAI(AsyncGeneratorProvider, ProviderModelMixin):
     
     default_model = 'llama-3.1'
     models = [default_model]
+    model_aliases = {
+        "llama-3.1-8b": "llama-3.1",
+    }
 
     @classmethod
     def get_model(cls, model: str) -> str:
-        return cls.default_model
+        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(
diff --git a/g4f/Provider/LiteIcoding.py b/g4f/Provider/LiteIcoding.py
deleted file mode 100644
index f349c85e..00000000
--- a/g4f/Provider/LiteIcoding.py
+++ /dev/null
@@ -1,132 +0,0 @@
-from __future__ import annotations
-import base64
-import re
-from aiohttp import ClientSession, ClientResponseError
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
-
-class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin):
-    url = "https://lite.icoding.ink"
-    api_endpoint = "/api/v1/gpt/message"
-    working = True
-    supports_gpt_4 = True
-    default_model = "gpt-4o"
-    models = [
-        'gpt-4o',
-        'gpt-4-turbo',
-        'claude-3',
-        'claude-3.5',
-        'gemini-1.5',
-    ]
-    
-    model_aliases = {
-        "gpt-4o-mini": "gpt-4o",
-        "gemini-pro": "gemini-1.5",
-    }
-
-    bearer_tokens = [
-        "NWQ2OWNkMjcxYjE0NDIyNmFjMTE5OWIzYzg0OWE1NjY=",
-    ]
-    current_token_index = 0
-
-    @classmethod
-    def decode_token(cls, encoded_token: str) -> str:
-        return base64.b64decode(encoded_token).decode('utf-8')
-
-    @classmethod
-    def get_next_bearer_token(cls):
-        encoded_token = cls.bearer_tokens[cls.current_token_index]
-        cls.current_token_index = (cls.current_token_index + 1) % len(cls.bearer_tokens)
-        return cls.decode_token(encoded_token)
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        bearer_token = cls.get_next_bearer_token()
-        headers = {
-            "Accept": "*/*",
-            "Accept-Language": "en-US,en;q=0.9",
-            "Authorization": f"Bearer {bearer_token}",
-            "Connection": "keep-alive",
-            "Content-Type": "application/json;charset=utf-8",
-            "DNT": "1",
-            "Origin": cls.url,
-            "Referer": f"{cls.url}/",
-            "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/126.0.0.0 Safari/537.36"
-            ),
-            "sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"',
-            "sec-ch-ua-mobile": "?0",
-            "sec-ch-ua-platform": '"Linux"',
-        }
-
-        data = {
-            "model": model,
-            "chatId": "-1",
-            "messages": [
-                {
-                    "role": msg["role"],
-                    "content": msg["content"],
-                    "time": msg.get("time", ""),
-                    "attachments": msg.get("attachments", []),
-                }
-                for msg in messages
-            ],
-            "plugins": [],
-            "systemPrompt": "",
-            "temperature": 0.5,
-        }
-
-        async with ClientSession(headers=headers) as session:
-            try:
-                async with session.post(
-                    f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy
-                ) as response:
-                    response.raise_for_status()
-                    buffer = ""
-                    full_response = ""
-
-                    def decode_content(data):
-                        bytes_array = bytes([int(b, 16) ^ 255 for b in data.split()])
-                        return bytes_array.decode('utf-8')
-
-                    async for chunk in response.content.iter_any():
-                        if chunk:
-                            buffer += chunk.decode()
-                            while "\n\n" in buffer:
-                                part, buffer = buffer.split("\n\n", 1)
-                                if part.startswith("data: "):
-                                    content = part[6:].strip()
-                                    if content and content != "[DONE]":
-                                        content = content.strip('"')
-                                        decoded_content = decode_content(content)
-                                        full_response += decoded_content
-                    full_response = (
-                    full_response.replace('""', '')
-                                  .replace('" "', ' ')
-                                  .replace("\\n\\n", "\n\n")
-                                  .replace("\\n", "\n")
-                                  .replace('\\"', '"')
-                                  .strip()
-                    )
-                    filtered_response = re.sub(r'\n---\n.*', '', full_response, flags=re.DOTALL)
-                    cleaned_response = filtered_response.strip().strip('"')
-                    yield cleaned_response
-
-            except ClientResponseError as e:
-                raise RuntimeError(
-                    f"ClientResponseError {e.status}: {e.message}, url={e.request_info.url}, data={data}"
-                ) from e
-
-            except Exception as e:
-                raise RuntimeError(f"Unexpected error: {str(e)}") from e
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 73a17e10..3d6539fc 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -22,7 +22,6 @@ from .Airforce         import Airforce
 from .Aura             import Aura
 from .Bing             import Bing
 from .BingCreateImages import BingCreateImages
-from .Binjie           import Binjie
 from .Blackbox         import Blackbox
 from .ChatGot          import ChatGot
 from .ChatGpt          import ChatGpt
@@ -50,7 +49,6 @@ from .HuggingChat      import HuggingChat
 from .HuggingFace      import HuggingFace
 from .Koala            import Koala
 from .Liaobots         import Liaobots
-from .LiteIcoding      import LiteIcoding
 from .Local            import Local
 from .MagickPen        import MagickPen
 from .MetaAI           import MetaAI
diff --git a/g4f/Provider/nexra/NexraAnimagineXL.py b/g4f/Provider/nexra/NexraAnimagineXL.py
deleted file mode 100644
index d6fbc629..00000000
--- a/g4f/Provider/nexra/NexraAnimagineXL.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-import json
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ...image import ImageResponse
-
-
-class NexraAnimagineXL(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "Nexra Animagine XL"
-    url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
-
-    default_model = 'animagine-xl'
-    models = [default_model]
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        return cls.default_model
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        response: str = "url",  # base64 or url
-        **kwargs
-    ) -> AsyncResult:
-        # Retrieve the correct model to use
-        model = cls.get_model(model)
-
-        # Format the prompt from the messages
-        prompt = messages[0]['content']
-
-        headers = {
-            "Content-Type": "application/json"
-        }
-        payload = {
-            "prompt": prompt,
-            "model": model,
-            "response": response
-        }
-
-        async with ClientSession(headers=headers) as session:
-            async with session.post(cls.api_endpoint, json=payload, proxy=proxy) as response:
-                response.raise_for_status()
-                text_data = await response.text()
-
-                try:
-                    # Parse the JSON response
-                    json_start = text_data.find('{')
-                    json_data = text_data[json_start:]
-                    data = json.loads(json_data)
-                    
-                    # Check if the response contains images
-                    if 'images' in data and len(data['images']) > 0:
-                        image_url = data['images'][0]
-                        yield ImageResponse(image_url, prompt)
-                    else:
-                        yield ImageResponse("No images found in the response.", prompt)
-                except json.JSONDecodeError:
-                    yield ImageResponse("Failed to parse JSON. Response might not be in JSON format.", prompt)
diff --git a/g4f/Provider/nexra/NexraBing.py b/g4f/Provider/nexra/NexraBing.py
index 02f3724d..716e9254 100644
--- a/g4f/Provider/nexra/NexraBing.py
+++ b/g4f/Provider/nexra/NexraBing.py
@@ -13,7 +13,7 @@ class NexraBing(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Bing"
     url = "https://nexra.aryahcr.cc/documentation/bing/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
-    working = True
+    working = False
     supports_gpt_4 = False
     supports_stream = False
     
diff --git a/g4f/Provider/nexra/NexraGeminiPro.py b/g4f/Provider/nexra/NexraGeminiPro.py
index 651f7cb4..fb0b096b 100644
--- a/g4f/Provider/nexra/NexraGeminiPro.py
+++ b/g4f/Provider/nexra/NexraGeminiPro.py
@@ -11,7 +11,7 @@ class NexraGeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Gemini PRO"
     url = "https://nexra.aryahcr.cc/documentation/gemini-pro/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
-    working = True
+    working = False
     supports_stream = True
 
     default_model = 'gemini-pro'
diff --git a/g4f/Provider/nexra/NexraLLaMA31.py b/g4f/Provider/nexra/NexraLLaMA31.py
index c67febb3..d461f2b2 100644
--- a/g4f/Provider/nexra/NexraLLaMA31.py
+++ b/g4f/Provider/nexra/NexraLLaMA31.py
@@ -17,10 +17,18 @@ class NexraLLaMA31(AsyncGeneratorProvider, ProviderModelMixin):
     
     default_model = 'llama-3.1'
     models = [default_model]
+    model_aliases = {
+        "llama-3.1-8b": "llama-3.1",
+    }
 
     @classmethod
     def get_model(cls, model: str) -> str:
-        return cls.default_model
+        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(
diff --git a/g4f/Provider/nexra/NexraMidjourney.py b/g4f/Provider/nexra/NexraMidjourney.py
index 3d6a4960..e43cb164 100644
--- a/g4f/Provider/nexra/NexraMidjourney.py
+++ b/g4f/Provider/nexra/NexraMidjourney.py
@@ -12,7 +12,7 @@ class NexraMidjourney(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Midjourney"
     url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
+    working = False
 
     default_model = 'midjourney'
     models = [default_model]
diff --git a/g4f/Provider/nexra/NexraProdiaAI.py b/g4f/Provider/nexra/NexraProdiaAI.py
index 262558fd..9d82ab9b 100644
--- a/g4f/Provider/nexra/NexraProdiaAI.py
+++ b/g4f/Provider/nexra/NexraProdiaAI.py
@@ -12,7 +12,7 @@ class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Prodia AI"
     url = "https://nexra.aryahcr.cc/documentation/prodia/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
+    working = False
     
     default_model = 'absolutereality_v181.safetensors [3d9d4d2b]'
     models = [
diff --git a/g4f/Provider/nexra/NexraSD15.py b/g4f/Provider/nexra/NexraSD15.py
index 410947df..03b35013 100644
--- a/g4f/Provider/nexra/NexraSD15.py
+++ b/g4f/Provider/nexra/NexraSD15.py
@@ -12,7 +12,7 @@ class NexraSD15(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Stable Diffusion 1.5"
     url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
+    working = False
     
     default_model = 'stablediffusion-1.5'
     models = [default_model]
diff --git a/g4f/Provider/nexra/NexraSD21.py b/g4f/Provider/nexra/NexraSD21.py
index fc5c90d9..46cd6611 100644
--- a/g4f/Provider/nexra/NexraSD21.py
+++ b/g4f/Provider/nexra/NexraSD21.py
@@ -12,7 +12,7 @@ class NexraSD21(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Stable Diffusion 2.1"
     url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
+    working = False
     
     default_model = 'stablediffusion-2.1'
     models = [default_model]
diff --git a/g4f/Provider/nexra/NexraSDLora.py b/g4f/Provider/nexra/NexraSDLora.py
index ad986507..a33afa04 100644
--- a/g4f/Provider/nexra/NexraSDLora.py
+++ b/g4f/Provider/nexra/NexraSDLora.py
@@ -12,7 +12,7 @@ class NexraSDLora(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Stable Diffusion Lora"
     url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
+    working = False
     
     default_model = 'sdxl-lora'
     models = [default_model]
diff --git a/g4f/Provider/nexra/NexraSDTurbo.py b/g4f/Provider/nexra/NexraSDTurbo.py
index feb59f0b..da1428b8 100644
--- a/g4f/Provider/nexra/NexraSDTurbo.py
+++ b/g4f/Provider/nexra/NexraSDTurbo.py
@@ -12,7 +12,7 @@ class NexraSDTurbo(AsyncGeneratorProvider, ProviderModelMixin):
     label = "Nexra Stable Diffusion Turbo"
     url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
+    working = False
     
     default_model = 'sdxl-turbo'
     models = [default_model]
diff --git a/g4f/Provider/nexra/__init__.py b/g4f/Provider/nexra/__init__.py
index d8b9218f..c2e6b2f6 100644
--- a/g4f/Provider/nexra/__init__.py
+++ b/g4f/Provider/nexra/__init__.py
@@ -1,4 +1,3 @@
-from .NexraAnimagineXL         import NexraAnimagineXL
 from .NexraBing                import NexraBing
 from .NexraBlackbox            import NexraBlackbox
 from .NexraChatGPT             import NexraChatGPT