1 files changed, 73 insertions, 0 deletions
diff --git a/g4f/Provider/Liaobots.py b/g4f/Provider/Liaobots.py
new file mode 100644
index 00000000..a969b643
--- /dev/null
+++ b/g4f/Provider/Liaobots.py
@@ -0,0 +1,73 @@
+import uuid
+
+import requests
+
+from ..typing import Any, CreateResult
+from .base_provider import BaseProvider
+
+
+class Liaobots(BaseProvider):
+    url = "https://liaobots.com"
+    supports_stream = True
+    needs_auth = True
+    supports_gpt_35_turbo = True
+    supports_gpt_4 = True
+
+    @staticmethod
+    def create_completion(
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool,
+        **kwargs: Any,
+    ) -> CreateResult:
+        headers = {
+            "authority": "liaobots.com",
+            "content-type": "application/json",
+            "origin": "https://liaobots.com",
+            "referer": "https://liaobots.com/",
+            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
+            "x-auth-code": str(kwargs.get("auth")),
+        }
+        models = {
+            "gpt-4": {
+                "id": "gpt-4",
+                "name": "GPT-4",
+                "maxLength": 24000,
+                "tokenLimit": 8000,
+            },
+            "gpt-3.5-turbo": {
+                "id": "gpt-3.5-turbo",
+                "name": "GPT-3.5",
+                "maxLength": 12000,
+                "tokenLimit": 4000,
+            },
+        }
+        json_data = {
+            "conversationId": str(uuid.uuid4()),
+            "model": models[model],
+            "messages": messages,
+            "key": "",
+            "prompt": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
+        }
+
+        response = requests.post(
+            "https://liaobots.com/api/chat",
+            headers=headers,
+            json=json_data,
+            stream=True,
+        )
+        response.raise_for_status()
+        for token in response.iter_content(chunk_size=2046):
+            yield token.decode("utf-8")
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("auth", "str"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"