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from _core.llm import LLMClient
from _core.tools import ToolRegistry, make_calculator, make_web_search
from _core.ui import build_agent_app
from agent import PlanExecuteAgent
_EXAMPLE = "Estimate the cost of tiling a 12 m² floor at €25/m², then suggest a cheaper option."
def run_fn(llm: LLMClient, user_input: str):
tools = ToolRegistry()
tools.register(make_calculator())
tools.register(make_web_search())
return PlanExecuteAgent(llm=llm, tools=tools).run(user_input)
demo = build_agent_app(
title="Plan-Execute-Reflect",
description=(
"The agent first drafts a plan, executes each step (using tools), then "
"reflects on whether the goal is met — replanning if not. Bring your own "
"OpenRouter key."
),
input_label="Task",
input_placeholder=_EXAMPLE,
run_fn=run_fn,
example=_EXAMPLE,
)
if __name__ == "__main__":
demo.launch()