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# Copyright (c) Microsoft. All rights reserved.
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# <NecessaryPackages>
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import asyncio
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import os
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2024-06-04 15:40:12 -04:00
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from samples.sk_service_configurator import add_service
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from semantic_kernel import Kernel
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# </NecessaryPackages>
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async def main():
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# Initialize the kernel
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# <KernelCreation>
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kernel = Kernel()
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# Add the service to the kernel
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# use_chat: True to use chat completion, False to use text completion
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kernel = add_service(kernel, use_chat=True)
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# </KernelCreation>
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# <InvokeUtcNow>
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# Import the TimePlugin and add it to the kernel
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from semantic_kernel.core_plugins import TimePlugin
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Python: Updated plugins (#5827)
### 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.
-->
The loading of plugins and functions into Kernel was not fully
consistent and clear, this is now simplified.
Adding a plugin can now be done in two ways:
- multiple: `kernel.add_plugins[plugin1, plugin2]`
- single plugin: `kernel.add_plugin(plugin)`
- if the plugin here is a class, with methods that have the
kernel_function decorator then that is parsed into a plugin
Adding a function can now be done in three ways:
- multiple: `kernel.add_functions([func1, func2]` or
`kernel.add_function({'func1': func1})`
- single: `kernel.add_function('plugin_name', func1)`
- from a prompt: `kernel.add_function(function_name='func1',
prompt='test prompt', ...)`
In other words, all the different methods that were available have been
simplified, these methods also return the created plugin (or updated
plugin for the `add_functions` method. The `add_function` (singular)
method has a parameter `return_plugin` to control whether you get the
created or updated plugin, instead of the created function.
**An important callout:**
One big internal change that this introduces is that a function that
gets added to a plugin (new or existing) is automatically copied, the
metadata is deep-copied and the plugin_name in the metadata is updated,
so this sequence is valid now:
```python
@kernel_function(name='test')
def f(...):
etc
func = KernelFunctionFromMethod(method=f)
func2 = kernel.add_function('plugin', func)
assert func != func2
```
Also closes: #5855
### Description
<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
Removed KernelPluginCollection
Updated KernelPlugin
added from_... method to load from different sources
Updated KernelFunctionFromPrompt
added from_yaml and from_directory methods.
Added and updated tests to 99% coverage of KernelPlugin and
KernelFunctionFromPrompt
### 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
- [ ] I didn't break anyone :smile:
2024-04-15 15:51:59 +02:00
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time = kernel.add_plugin(TimePlugin(), "TimePlugin")
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# Invoke the Today function
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current_time = await kernel.invoke(time["today"])
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print(f"The current date is: {current_time}\n")
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# </InvokeUtcNow>
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# <InvokeShortPoem>
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# Import the WriterPlugin from the plugins directory.
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script_directory = os.path.dirname(__file__)
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plugins_directory = os.path.join(script_directory, "plugins")
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kernel.add_plugin(parent_directory=plugins_directory, plugin_name="WriterPlugin")
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# Run the short poem function with the Kernel Argument
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poem_result = await kernel.invoke(function_name="ShortPoem", plugin_name="WriterPlugin", input=str(current_time))
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print(f"The poem result:\n\n{poem_result}")
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# </InvokeShortPoem>
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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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