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Python: Introduce the function calling stepwise planner (#5350) ### Motivation and Context To further align with the SK dotnet SDK and its functionality, the Python SDK needs a function calling stepwise planner. Now that we have auto tool calling available, it makes sense to introduce this planner. <!-- 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. --> ### Description This PR: - Introduces the function calling stepwise planner, its planner options, and planner result. Closes #4642 - Introduces a kernel example `function_calling_stepwise_planner.py` to exercise the planner and show how it works. - Adds unit tests and an integration test. <!-- 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: --> - [ ] The code builds clean without any errors or warnings - [ ] 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 - [ ] All unit tests pass, and I have added new tests where possible - [ ] I didn't break anyone :smile:
2024-03-12 11:52:12 -04:00
# Copyright (c) Microsoft. All rights reserved.
from typing import Callable
import pytest
from pydantic import ValidationError
from semantic_kernel import Kernel
from semantic_kernel.exceptions import FunctionInitializationError
from semantic_kernel.functions.kernel_arguments import KernelArguments
from semantic_kernel.functions.kernel_function import KernelFunction
@pytest.mark.asyncio
async def test_register_valid_native_function(kernel: Kernel, decorated_native_function: Callable):
registered_func = kernel.register_function_from_method("TestPlugin", decorated_native_function)
assert isinstance(registered_func, KernelFunction)
assert kernel.plugins["TestPlugin"]["getLightStatus"] == registered_func
func_result = await registered_func.invoke(kernel, KernelArguments(arg1="testtest"))
assert str(func_result) == "test"
def test_register_undecorated_native_function(kernel: Kernel, not_decorated_native_function: Callable):
with pytest.raises(FunctionInitializationError):
kernel.register_function_from_method("TestPlugin", not_decorated_native_function)
def test_register_with_none_plugin_name(kernel: Kernel, decorated_native_function: Callable):
with pytest.raises(ValidationError):
kernel.register_function_from_method(method=decorated_native_function, plugin_name=None)