from __future__ import annotations import json from aiohttp import ClientSession from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from ..requests.raise_for_status import raise_for_status from ..providers.response import FinishReason, Reasoning from .helper import format_prompt class Glider(AsyncGeneratorProvider, ProviderModelMixin): label = "Glider" url = "https://glider.so" api_endpoint = "https://glider.so/api/chat" working = True needs_auth = False supports_stream = True supports_system_message = True supports_message_history = True default_model = 'chat-llama-3-1-70b' reasoning_models = ['deepseek-ai/DeepSeek-R1'] models = [ 'chat-llama-3-1-70b', 'chat-llama-3-1-8b', 'chat-llama-3-2-3b', ] + reasoning_models model_aliases = { "llama-3.1-70b": "chat-llama-3-1-70b", "llama-3.1-8b": "chat-llama-3-1-8b", "llama-3.2-3b": "chat-llama-3-2-3b", "deepseek-r1": "deepseek-ai/DeepSeek-R1", } @classmethod async def create_async_generator( cls, model: str, messages: Messages, proxy: str = None, **kwargs ) -> AsyncResult: model = cls.get_model(model) headers = { "accept": "*/*", "accept-language": "en-US,en;q=0.9", "content-type": "application/json", "origin": cls.url, "referer": f"{cls.url}/", "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36" } async with ClientSession(headers=headers) as session: data = { "messages": [{ "role": "user", "content": format_prompt(messages), "id": "", "chatId": "", "createdOn": "", "model": None }], "model": model } async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: await raise_for_status(response) is_reasoning = False current_reasoning = "" async for chunk in response.content: if not chunk: continue text = chunk.decode(errors="ignore") if not text.startswith("data: "): continue if "[DONE]" in text: if is_reasoning and current_reasoning: yield Reasoning(status=current_reasoning.strip()) yield FinishReason("stop") return try: json_data = json.loads(text[6:]) content = json_data["choices"][0].get("delta", {}).get("content", "") if model in cls.reasoning_models: if "" in content: content = content.replace("", "") is_reasoning = True current_reasoning = content continue if "" in content: content = content.replace("", "") is_reasoning = False current_reasoning += content yield Reasoning(status=current_reasoning.strip()) current_reasoning = "" continue if is_reasoning: current_reasoning += content continue if content: yield content except json.JSONDecodeError: continue except Exception: yield FinishReason("error") return