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### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Manual update to pydantic requirement, they fixed the incompatibility in 10.3 (10.<3 was broken). We need one more fix in Pydantic 2.10, which should come in 2.10.4: https://github.com/pydantic/pydantic/issues/10910 this is the issue: https://github.com/pydantic/pydantic/issues/11024 Comes into play with some of the vector stores. So excluded 2.10 smaller then 2.10.4. Closes #9788 ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [x] All unit tests pass, and I have added new tests where possible - [x] I didn't break anyone 😄
61 lines
1.5 KiB
Python
61 lines
1.5 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from typing import Annotated
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from semantic_kernel import Kernel
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from semantic_kernel.functions import kernel_function
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# Let's define a light plugin
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class LightPlugin:
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is_on: bool = False
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@kernel_function(
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name="get_state",
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description="Gets the state of the light.",
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)
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def get_state(
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self,
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) -> Annotated[str, "the output is a string"]:
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"""Returns the state result of the light."""
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return "On" if self.is_on else "Off"
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@kernel_function(
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name="change_state",
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description="Changes the state of the light.",
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)
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def change_state(
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self,
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new_state: Annotated[bool, "the new state of the light"],
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) -> Annotated[str, "the output is a string"]:
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"""Changes the state of the light."""
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self.is_on = new_state
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state = self.get_state()
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print(f"The light is now: {state}")
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return state
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async def main():
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# Initialize the kernel
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kernel = Kernel()
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light_plugin = kernel.add_plugin(
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LightPlugin(),
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plugin_name="LightPlugin",
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)
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result = await kernel.invoke(light_plugin["get_state"])
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print(f"The light is: {result}")
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print("Changing the light's state...")
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# Kernel Arguments are passed in as kwargs.
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result = await kernel.invoke(light_plugin["change_state"], new_state=True)
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print(f"The light is: {result}")
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# Run the main function
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if __name__ == "__main__":
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asyncio.run(main())
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