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chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

61 lines
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Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
from typing import Annotated
from semantic_kernel import Kernel
from semantic_kernel.functions import kernel_function
# Let's define a light plugin
class LightPlugin:
is_on: bool = False
@kernel_function(
name="get_state",
description="Gets the state of the light.",
)
def get_state(
self,
) -> Annotated[str, "the output is a string"]:
"""Returns the state result of the light."""
return "On" if self.is_on else "Off"
@kernel_function(
name="change_state",
description="Changes the state of the light.",
)
def change_state(
self,
new_state: Annotated[bool, "the new state of the light"],
) -> Annotated[str, "the output is a string"]:
"""Changes the state of the light."""
self.is_on = new_state
state = self.get_state()
print(f"The light is now: {state}")
return state
async def main():
# Initialize the kernel
kernel = Kernel()
light_plugin = kernel.add_plugin(
LightPlugin(),
plugin_name="LightPlugin",
)
result = await kernel.invoke(light_plugin["get_state"])
print(f"The light is: {result}")
print("Changing the light's state...")
# Kernel Arguments are passed in as kwargs.
result = await kernel.invoke(light_plugin["change_state"], new_state=True)
print(f"The light is: {result}")
# Run the main function
if __name__ == "__main__":
asyncio.run(main())