1 files changed, 78 insertions, 0 deletions

diff --git a/g4f/Provider/Berlin.py b/g4f/Provider/Berlin.py
new file mode 100644
index 00000000..bfdb1ef0
--- /dev/null
+++ b/g4f/Provider/Berlin.py
@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+import secrets
+import uuid
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+
+class Berlin(AsyncGeneratorProvider):
+    url = "https://ai.berlin4h.top"
+    working = True
+    supports_gpt_35_turbo = True
+    _token = None
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        if not model:
+            model = "gpt-3.5-turbo"
+        headers = {
+            "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
+            "Accept": "*/*",
+            "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Referer": f"{cls.url}/",
+            "Content-Type": "application/json",
+            "Origin": cls.url,
+            "Alt-Used": "ai.berlin4h.top",
+            "Connection": "keep-alive",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-origin",
+            "Pragma": "no-cache",
+            "Cache-Control": "no-cache",
+            "TE": "trailers",
+        }
+        async with ClientSession(headers=headers) as session:
+            if not cls._token:
+                data = {
+                    "account": '免费使用GPT3.5模型@163.com',
+                    "password": '659e945c2d004686bad1a75b708c962f'
+                }
+                async with session.post(f"{cls.url}/api/login", json=data, proxy=proxy) as response:
+                    response.raise_for_status()
+                    cls._token = (await response.json())["data"]["token"]
+            headers = {
+                "token": cls._token
+            }
+            prompt = format_prompt(messages)
+            data = {
+                "prompt": prompt,
+                "parentMessageId": str(uuid.uuid4()),
+                "options": {
+                    "model": model,
+                    "temperature": 0,
+                    "presence_penalty": 0,
+                    "frequency_penalty": 0,
+                    "max_tokens": 1888,
+                    **kwargs
+                },
+            }
+            async with session.post(f"{cls.url}/api/chat/completions", json=data, proxy=proxy, headers=headers) as response:
+                response.raise_for_status()
+                async for chunk in response.content:
+                    if chunk.strip():
+                        try:
+                            yield json.loads(chunk)["content"]
+                        except:
+                            raise RuntimeError(f"Response: {chunk.decode()}")