path: root/g4f/Provider/Lockchat.py

import json

import requests

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


class Lockchat(BaseProvider):
    url = "http://supertest.lockchat.app"
    supports_stream = True
    supports_gpt_35_turbo = True
    supports_gpt_4 = True

    @staticmethod
    def create_completion(
        model: str,
        messages: list[dict[str, str]],
        stream: bool,
        **kwargs: Any,
    ) -> CreateResult:
        temperature = float(kwargs.get("temperature", 0.7))
        payload = {
            "temperature": temperature,
            "messages": messages,
            "model": model,
            "stream": True,
        }

        headers = {
            "user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
        }
        response = requests.post(
            "http://supertest.lockchat.app/v1/chat/completions",
            json=payload,
            headers=headers,
            stream=True,
        )
        response.raise_for_status()
        for token in response.iter_lines():
            if b"The model: `gpt-4` does not exist" in token:
                print("error, retrying...")
                Lockchat.create_completion(
                    model=model,
                    messages=messages,
                    stream=stream,
                    temperature=temperature,
                    **kwargs,
                )
            if b"content" in token:
                token = json.loads(token.decode("utf-8").split("data: ")[1])
                token = token["choices"][0]["delta"].get("content")
                if token:
                    yield (token)

    @classmethod
    @property
    def params(cls):
        params = [
            ("model", "str"),
            ("messages", "list[dict[str, str]]"),
            ("stream", "bool"),
            ("temperature", "float"),
        ]
        param = ", ".join([": ".join(p) for p in params])
        return f"g4f.provider.{cls.__name__} supports: ({param})"