__main__.py

from dotenv import load_dotenv
import time  # Add this import

load_dotenv()

from integuru.main import call_agent
import asyncio
import click

if __name__ == "__main__":

    @click.command()
    @click.option(
        "--model", default="gpt-4o", help="The LLM model to use (default is gpt-4o)"
    )
    @click.option("--prompt", required=True, help="The prompt for the model")
    @click.option(
        "--har-path",
        default="./network_requests.har",
        help="The HAR file path (default is ./network_requests.har)",
    )
    @click.option(
        "--cookie-path",
        default="./cookies.json",
        help="The cookie file path (default is ./cookies.json)",
    )
    @click.option(
        "--max_steps", default=20, type=int, help="The max_steps (default is 20)"
    )
    @click.option(
        "--input_variables",
        multiple=True,
        type=(str, str),
        help="Input variables in the format key value",
    )
    @click.option(
        "--generate-code",
        is_flag=True,
        default=False,
        help="Whether to generate the full integration code",
    )
    @click.option(
        "--use-local-llm",
        is_flag=True,
        default=False,
        help="Whether to use a local LLM instead of sending data to OpenAI",
    )
    def cli(
        model, prompt, har_path, cookie_path, max_steps, input_variables, generate_code, use_local_llm
    ):
        input_vars = dict(input_variables)
        asyncio.run(
            call_agent(
                model,
                prompt,
                har_path,
                cookie_path,
                input_variables=input_vars,
                max_steps=max_steps,
                to_generate_code=generate_code,
                use_local_llm=use_local_llm,
            )
        )

    cli()