path: root/g4f/Provider/Opchatgpts.py

import requests

from ..typing import Any, CreateResult
from .base_provider import BaseProvider


class Opchatgpts(BaseProvider):
    url = "https://opchatgpts.net"
    working = True
    supports_gpt_35_turbo = True

    @staticmethod
    def create_completion(
        model: str,
        messages: list[dict[str, str]],
        stream: bool,
        **kwargs: Any,
    ) -> CreateResult:
        temperature = kwargs.get("temperature", 0.8)
        max_tokens = kwargs.get("max_tokens", 1024)
        system_prompt = kwargs.get(
            "system_prompt",
            "Converse as if you were an AI assistant. Be friendly, creative.",
        )
        payload = _create_payload(
            messages=messages,
            temperature=temperature,
            max_tokens=max_tokens,
            system_prompt=system_prompt,
        )

        response = requests.post(
            "https://opchatgpts.net/wp-json/ai-chatbot/v1/chat", json=payload
        )
        response.raise_for_status()
        yield response.json()["reply"]


def _create_payload(
    messages: list[dict[str, str]],
    temperature: float,
    max_tokens: int,
    system_prompt: str,
):
    return {
        "env": "chatbot",
        "session": "N/A",
        "prompt": "\n",
        "context": system_prompt,
        "messages": messages,
        "newMessage": messages[::-1][0]["content"],
        "userName": '<div class="mwai-name-text">User:</div>',
        "aiName": '<div class="mwai-name-text">AI:</div>',
        "model": "gpt-3.5-turbo",
        "temperature": temperature,
        "maxTokens": max_tokens,
        "maxResults": 1,
        "apiKey": "",
        "service": "openai",
        "embeddingsIndex": "",
        "stop": "",
    }