0.0.2.6

1 files changed, 98 insertions, 0 deletions

diff --git a/g4f/Provider/OpenAssistant.py b/g4f/Provider/OpenAssistant.py
new file mode 100644
index 00000000..542af78f
--- /dev/null
+++ b/g4f/Provider/OpenAssistant.py
@@ -0,0 +1,98 @@
+import json
+from aiohttp import ClientSession
+
+from ..typing import Any, AsyncGenerator
+from .base_provider import AsyncGeneratorProvider, get_cookies, format_prompt
+
+class OpenAssistant(AsyncGeneratorProvider):
+    url = "https://open-assistant.io/chat"
+    needs_auth = True
+    working = True
+    model = "OA_SFT_Llama_30B_6"
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: list[dict[str, str]],
+        proxy: str = None,
+        cookies: dict = None,
+        **kwargs: Any
+    ) -> AsyncGenerator:
+        if proxy and "://" not in proxy:
+            proxy = f"http://{proxy}"
+        if not cookies:
+            cookies = get_cookies("open-assistant.io")
+
+        headers = {
+            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
+        }
+        async with ClientSession(
+            cookies=cookies,
+            headers=headers
+        ) as session:
+            async with session.post("https://open-assistant.io/api/chat", proxy=proxy) as response:
+                chat_id = (await response.json())["id"]
+
+            data = {
+                "chat_id": chat_id,
+                "content": f"<s>[INST]\n{format_prompt(messages)}\n[/INST]",
+                "parent_id": None
+            }
+            async with session.post("https://open-assistant.io/api/chat/prompter_message", proxy=proxy, json=data) as response:
+                parent_id = (await response.json())["id"]
+
+            data = {
+                "chat_id": chat_id,
+                "parent_id": parent_id,
+                "model_config_name": model if model else cls.model,
+                "sampling_parameters":{
+                    "top_k": 50,
+                    "top_p": None,
+                    "typical_p": None,
+                    "temperature": 0.35,
+                    "repetition_penalty": 1.1111111111111112,
+                    "max_new_tokens": 1024,
+                    **kwargs
+                },
+                "plugins":[]
+            }
+            async with session.post("https://open-assistant.io/api/chat/assistant_message", proxy=proxy, json=data) as response:
+                data = await response.json()
+                if "id" in  data:
+                    message_id = data["id"]
+                elif "message" in data:
+                    raise RuntimeError(data["message"])
+                else:
+                    response.raise_for_status()
+            
+            params = {
+                'chat_id': chat_id,
+                'message_id': message_id,
+            }
+            async with session.post("https://open-assistant.io/api/chat/events", proxy=proxy, params=params) as response:
+                start = "data: "
+                async for line in response.content:
+                    line = line.decode("utf-8")
+                    if line and line.startswith(start):
+                        line = json.loads(line[len(start):])
+                        if line["event_type"] == "token":
+                            yield line["text"]
+
+            params = {
+                'chat_id': chat_id,
+            }
+            async with session.delete("https://open-assistant.io/api/chat", proxy=proxy, params=params) as response:
+                response.raise_for_status()
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("proxy", "str"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"