1 files changed, 93 insertions, 0 deletions

diff --git a/g4f/Provider/nexra/NexraChatGptV2.py b/g4f/Provider/nexra/NexraChatGptV2.py
new file mode 100644
index 00000000..c0faf93a
--- /dev/null
+++ b/g4f/Provider/nexra/NexraChatGptV2.py
@@ -0,0 +1,93 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+import json
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt
+
+
+class NexraChatGptV2(AsyncGeneratorProvider, 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_gpt_4 = 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
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        stream: bool = False,
+        markdown: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        headers = {
+            "Content-Type": "application/json"
+        }
+
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            data = {
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": prompt
+                    }
+                ],
+                "stream": stream,
+                "markdown": markdown,
+                "model": model
+            }
+
+            async with session.post(f"{cls.api_endpoint}", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+
+                if stream:
+                    # Streamed response handling (stream=True)
+                    collected_message = ""
+                    async for chunk in response.content.iter_any():
+                        if chunk:
+                            decoded_chunk = chunk.decode().strip().split("\x1e")
+                            for part in decoded_chunk:
+                                if part:
+                                    message_data = json.loads(part)
+                                    
+                                    # Collect messages until 'finish': true
+                                    if 'message' in message_data and message_data['message']:
+                                        collected_message = message_data['message']
+                                    
+                                    # When finish is true, yield the final collected message
+                                    if message_data.get('finish', False):
+                                        yield collected_message
+                                        return
+                else:
+                    # Non-streamed response handling (stream=False)
+                    response_data = await response.json(content_type=None)
+                    
+                    # Yield the message directly from the response
+                    if 'message' in response_data and response_data['message']:
+                        yield response_data['message']
+                        return