from __future__ import annotations

from pathlib import Path
import sys

# Support both:
#   1. python -m core_agent.demo
#   2. python core_agent/demo.py
if __package__ in (None, ""):
    sys.path.insert(0, str(Path(__file__).resolve().parent.parent))

from core_agent.agent import CoreAgent
from core_agent.config import (
    apply_compat_env_aliases,
    build_core_agent_config,
    load_core_agent_env,
)
from core_agent.providers.openai_compatible import OpenAICompatibleProvider


def main() -> None:
    workspace = Path.cwd()
    load_core_agent_env()
    apply_compat_env_aliases()
    config = build_core_agent_config()
    provider = OpenAICompatibleProvider(
        model=config.model,
        api_key=config.api_key,
        base_url=config.base_url,
        timeout=config.timeout,
    )
    agent = CoreAgent(
        provider=provider,
        workspace=workspace,
        skill_dirs=[workspace / "skills", Path(__file__).resolve().parent / "sample_skills"],
    )
    result = agent.run("Inspect the workspace, create tasks if useful, and explain what you found.")
    print(result.final_response)


if __name__ == "__main__":
    main()