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https://github.com/microsoft/semantic-kernel.git
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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.
-->
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 😄
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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import os
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import semantic_kernel as sk
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from semantic_kernel.connectors.ai.open_ai import (
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AzureChatCompletion,
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)
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from semantic_kernel.core_plugins.math_plugin import MathPlugin
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from semantic_kernel.core_plugins.time_plugin import TimePlugin
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from semantic_kernel.planners.function_calling_stepwise_planner.function_calling_stepwise_planner import (
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FunctionCallingStepwisePlanner,
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)
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from semantic_kernel.planners.function_calling_stepwise_planner.function_calling_stepwise_planner_options import (
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FunctionCallingStepwisePlannerOptions,
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)
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from semantic_kernel.utils.settings import azure_openai_settings_from_dot_env_as_dict
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async def main():
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kernel = sk.Kernel()
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service_id = "planner"
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kernel.add_service(
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AzureChatCompletion(
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service_id=service_id, **azure_openai_settings_from_dot_env_as_dict(include_api_version=True)
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),
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)
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cur_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "resources")
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kernel.import_native_plugin_from_directory(cur_dir, "email_plugin")
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kernel.add_plugin(MathPlugin(), "MathPlugin")
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kernel.add_plugin(TimePlugin(), "TimePlugin")
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questions = [
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"What is the current hour number, plus 5?",
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"What is 387 minus 22? Email the solution to John and Mary.",
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"Write a limerick, translate it to Spanish, and send it to Jane",
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]
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options = FunctionCallingStepwisePlannerOptions(
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max_iterations=10,
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max_tokens=4000,
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)
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planner = FunctionCallingStepwisePlanner(service_id=service_id, options=options)
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for question in questions:
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result = await planner.invoke(kernel, question)
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print(f"Q: {question}\nA: {result.final_answer}\n")
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# Uncomment the following line to view the planner's process for completing the request
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# print(f"Chat history: {result.chat_history}\n")
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if __name__ == "__main__":
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asyncio.run(main())
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