from __future__ import annotations import requests from ..typing import AsyncResult, Messages from .needs_auth.Openai import Openai class DeepInfra(Openai): label = "DeepInfra" url = "https://deepinfra.com" working = True needs_auth = False supports_stream = True supports_message_history = True default_model = 'meta-llama/Llama-2-70b-chat-hf' @classmethod def get_models(cls): if not cls.models: url = 'https://api.deepinfra.com/models/featured' models = requests.get(url).json() cls.models = [model['model_name'] for model in models if model["type"] == "text-generation"] return cls.models @classmethod def create_async_generator( cls, model: str, messages: Messages, stream: bool, api_base: str = "https://api.deepinfra.com/v1/openai", temperature: float = 0.7, max_tokens: int = 1028, **kwargs ) -> AsyncResult: headers = { 'Accept-Encoding': 'gzip, deflate, br', 'Accept-Language': 'en-US', 'Connection': 'keep-alive', 'Origin': 'https://deepinfra.com', 'Referer': 'https://deepinfra.com/', 'Sec-Fetch-Dest': 'empty', 'Sec-Fetch-Mode': 'cors', 'Sec-Fetch-Site': 'same-site', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36', 'X-Deepinfra-Source': 'web-embed', 'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"macOS"', } return super().create_async_generator( model, messages, stream=stream, api_base=api_base, temperature=temperature, max_tokens=max_tokens, headers=headers, **kwargs )