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from __future__ import annotations
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class AiService(BaseProvider):
url = "https://aiservice.vercel.app/"
working = False
supports_gpt_35_turbo = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
base = "\n".join(f"{message['role']}: {message['content']}" for message in messages)
base += "\nassistant: "
headers = {
"accept": "*/*",
"content-type": "text/plain;charset=UTF-8",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"Referer": "https://aiservice.vercel.app/chat",
}
data = {"input": base}
url = "https://aiservice.vercel.app/api/chat/answer"
response = requests.post(url, headers=headers, json=data)
response.raise_for_status()
yield response.json()["data"]
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