from __future__ import annotations

from .Openai import Openai
from ...typing import AsyncResult, Messages

class Groq(Openai):
    label = "Groq"
    url = "https://console.groq.com/playground"
    working = True
    default_model = "mixtral-8x7b-32768"
    models = [
        "distil-whisper-large-v3-en",
        "gemma2-9b-it",
        "gemma-7b-it",
        "llama3-groq-70b-8192-tool-use-preview",
        "llama3-groq-8b-8192-tool-use-preview",
        "llama-3.1-70b-versatile",
        "llama-3.1-8b-instant",
        "llama-3.2-1b-preview",
        "llama-3.2-3b-preview",
        "llama-3.2-11b-vision-preview",
        "llama-3.2-90b-vision-preview",
        "llama-guard-3-8b",
        "llava-v1.5-7b-4096-preview",
        "llama3-70b-8192",
        "llama3-8b-8192",
        "mixtral-8x7b-32768",
        "whisper-large-v3",
        "whisper-large-v3-turbo",
    ]
    model_aliases = {"mixtral-8x7b": "mixtral-8x7b-32768", "llama2-70b": "llama2-70b-4096"}

    @classmethod
    def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        api_base: str = "https://api.groq.com/openai/v1",
        **kwargs
    ) -> AsyncResult:
        return super().create_async_generator(
            model, messages, api_base=api_base, **kwargs
        )
