1 files changed, 62 insertions, 0 deletions

diff --git a/g4f/Provider/ChatForAi.py b/g4f/Provider/ChatForAi.py
new file mode 100644
index 00000000..779799cf
--- /dev/null
+++ b/g4f/Provider/ChatForAi.py
@@ -0,0 +1,62 @@
+from __future__ import annotations
+
+import time, hashlib
+
+from ..typing import AsyncGenerator
+from ..requests import StreamSession
+from .base_provider import AsyncGeneratorProvider
+
+
+class ChatForAi(AsyncGeneratorProvider):
+    url                   = "https://chatforai.com"
+    supports_gpt_35_turbo = True
+    working               = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        **kwargs
+    ) -> AsyncGenerator:
+        async with StreamSession(impersonate="chrome107") as session:
+            conversation_id = f"id_{int(time.time())}"
+            prompt = messages[-1]["content"]
+            timestamp = int(time.time())
+            data = {
+                "conversationId": conversation_id,
+                "conversationType": "chat_continuous",
+                "botId": "chat_continuous",
+                "globalSettings":{
+                    "baseUrl": "https://api.openai.com",
+                    "model": model if model else "gpt-3.5-turbo",
+                    "messageHistorySize": 5,
+                    "temperature": 0.7,
+                    "top_p": 1,
+                    **kwargs
+                },
+                "botSettings": {},
+                "prompt": prompt,
+                "messages": messages,
+                "sign": generate_signature(timestamp, conversation_id, prompt),
+                "timestamp": timestamp
+            }
+            async with session.post(f"{cls.url}/api/handle/provider-openai", json=data) as response:
+                response.raise_for_status()
+                async for chunk in response.iter_content():
+                    yield chunk.decode()
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
+    
+def generate_signature(timestamp, id, prompt):
+    data = f"{timestamp}:{id}:{prompt}:6B46K4pt"
+    return hashlib.sha256(data.encode()).hexdigest()