from __future__ import annotations
import requests
from aiohttp import ClientSession
from .OpenaiAPI import OpenaiAPI
from ...typing import AsyncResult, Messages, Cookies
from ...requests.raise_for_status import raise_for_status
from ...cookies import get_cookies
class Cerebras(OpenaiAPI):
label = "Cerebras Inference"
url = "https://inference.cerebras.ai/"
working = True
default_model = "llama3.1-70b"
fallback_models = [
"llama3.1-70b",
"llama3.1-8b",
]
model_aliases = {"llama-3.1-70b": "llama3.1-70b", "llama-3.1-8b": "llama3.1-8b"}
@classmethod
def get_models(cls, api_key: str = None):
if not cls.models:
try:
headers = {}
if api_key:
headers["authorization"] = f"Bearer ${api_key}"
response = requests.get(f"https://api.cerebras.ai/v1/models", headers=headers)
raise_for_status(response)
data = response.json()
cls.models = [model.get("model") for model in data.get("models")]
except Exception:
cls.models = cls.fallback_models
return cls.models
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
api_base: str = "https://api.cerebras.ai/v1",
api_key: str = None,
cookies: Cookies = None,
**kwargs
) -> AsyncResult:
if api_key is None and cookies is None:
cookies = get_cookies(".cerebras.ai")
async with ClientSession(cookies=cookies) as session:
async with session.get("https://inference.cerebras.ai/api/auth/session") as response:
raise_for_status(response)
data = await response.json()
if data:
api_key = data.get("user", {}).get("demoApiKey")
async for chunk in super().create_async_generator(
model, messages,
api_base=api_base,
impersonate="chrome",
api_key=api_key,
headers={
"User-Agent": "ex/JS 1.5.0",
},
**kwargs
):
yield chunk
