### Motivation and Context
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When the root init has to load a lot of stuff, loading the whole thing
becomes slower, only one concept there Kernel, all other things must now
be loaded from a sub package.
The following is not the guidance:
- imports within SK use the full path
- init files are created as much as possible on the root+1 level (like
semantic_kernel.functions) with the pieces that common developers need,
except in connectors and utils, there a developer needs to go deeper
- within the connectors folder this is further detailed first to ai,
memory, search_engine, within ai it is further spread into the different
connectors, for instance everything for openai and azure openai can be
imported using `from semantic_kernel.connectors.ai.open_ai import ...`,
the same within memory
- imports in samples use the abbreviated path as much as possible.
### Description
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raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
### Motivation and Context
Bumping the pyproject.toml version and related notebook version
references for a release. Some of the Jupyter notebooks were missing the
imports to be able to run properly.
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### Description
The PR
- bumps the pyproject.toml version and related notebook version
references for a release.
- Fixes the missing notebook imports.
- Fixes a service_id/request settings bug in one kernel syntax example.
Closes#5148
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### Motivation and Context
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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
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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
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raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
### Motivation and Context
Bump versions to 0.9.5b1 for release.
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### Description
Bump versions to 0.9.5b1 for release.
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raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄
### Motivation and Context
Bump python version to 0.9.4b1 for release
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### Description
Bump python version to 0.9.4b1 for release
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### Motivation and Context
Bump python package versions to 0.9.3b1 for release.
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### Description
Bump python package versions to 0.9.3b1 for release.
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raises no violations
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- [X] I didn't break anyone 😄
### Description
On of the python example notebooks the deployment is read from the
environment but it is being passed as a hard coded variable to the class
constructor. This PR aims to correct it
### Contribution Checklist
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raises no violations
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Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
Bump python version to 0.9.2b1 for release.
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### Description
Bump python version to 0.9.2b1 for release.
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- [X] I didn't break anyone 😄
### Motivation and Context
Bump py version to 0.9.1b1 for release.
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### Description
Bump py version to 0.9.1b1 for release. Update notebooks.
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raises no violations
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- [X] I didn't break anyone 😄
### Motivation and Context
During the dev of the feature branch, the service_id was added as an arg
to the import plugin from prompt directory; however, it was later
removed but not removed from the notebooks.
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### Description
This PR:
- Removes the service_id from the import_plugin_from_prompt_directory
method as it is no longer present. Closes#5233
- Uses the `default` service_id which is included as part of the stock
plugins.
- Add the function_name and plugin_name that were missing from
create_function_from_prompt.
- Run the latest ruff (0.3.0) and black (24.2.0) formatting on all
python files. This is why other files show -- their formatting was
updated.
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raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄
### Motivation and Context
In preperation for a Python SDK beta release, bumping the pyproject.toml
version to 0.9.0.beta1.
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### Description
In preperation for a Python SDK beta release, bumping the pyproject.toml
version to 0.9.0.beta1.
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raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄
### Motivation and Context
As we move toward v1, it is necessary to remove the single kernel memory
attribute so that memory connectors can be handled via plugins. This
change also refactors the `import_plugin` method name to be similar with
dotnet as `import_plugin_from_object`, and introduces a simple
`kernel.invoke_prompt` method.
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### Description
Updates are:
- The memory connector is now passed to the `SemanticTextMemory` class,
along with the embedding generator. This allows the user to add memory
to multiple plugins/services as needed. Closes#4632
- Kernel Examples and Notebooks were updated to reflect these changes.
Now using Service Enum for all notebooks. Closes#4557
- There were planners using memory related to the kernel, to store the
functions, and many of these planners are non-existent in dotnet's v1
SDK. Python has pending work to update the planner/remove deprecated
planners before getting to v1.
- A Kernel method called `invoke_prompt` was introduced to invoke a
simple prompt, and return the `FunctionResult` when complete.
- All unit/integration tests are passing.
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raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
### Motivation and Context
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Major work to replace the context with Kernel Arguments on the front-end
and Function Results on the back.
Updated the function decorator to a new approach, in line with dotnet.
Revamps the way function are called, allowing native functions to be
completely ignorant of SK, other then the decorator.
This also moves things into the new folder structure in sync with
dotnet.
### Description
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Adds:
- KernelArguments, a dict-like class that replaces the variables in
KernelContext. Closes#4565
- FunctionResult, a class to hold the results of function executions,
includes the function, the value and metadata, as well as two convenient
function to get the value out of it (str and get_inner_content) the
first is generic, the second specifically for KernelContent responses
(from AI services).
- AI Service Selector class, has a default, which is based on the order
in the arguments followed by the order in the functions, can be
overridden to implement your own strategy. Closes#4631
- Introduces ChatHistory and refactors the PromptTemplateConfig. Closes
#4856, #4630
- Improves parsing of templates, will now all validate during creation
and throw an error then, instead of some that do not check for validaty
until used.
- Introduces named_args block and thereby the ability to have multiple
arguments for a function call in a template. Closes#5003
Updates:
- kernel_function decorators, the parameter decorator was removed and
instead we now use Annotated to add a description of a field and we get
the type and required from the function definition.
- core plugins, use the new approach to kernel_function decorators.
- planners, template engines have all been updated to use the kernel and
kernelarguments instead of Context.
- Events have been updated, now use kernelarguments and function_result
- Tokenizers support for named_args and improvements on parsing and
checking.
- Kernel examples and notebooks to use the latest code.
- All unit and integration tests. There is more code coverage now than
before.
Removed:
- kernelContext
- kernel_function_parameter_decorator
- delegate handling code for native functions
- file_io_plugin and tests
- SemanticFunctionConfig
- ChatPromptTemplate
### Contribution Checklist
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- [ ] I didn't break anyone 😄
---------
Co-authored-by: Evan Mattson <[email protected]>
Co-authored-by: Evan Mattson <[email protected]>
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
Bump python project version for release. Update notebooks.
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### Description
Bump python project version for release. Update notebooks.
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- [X] I didn't break anyone 😄
### Motivation and Context
Python: Bump python version to 0.5.0 for release. Update notebooks.
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### Description
Python: Bump python version to 0.5.0 for release. Update notebooks.
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Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
This PR solves two works items: #4560 and #4667. The Python SDK had
different ways of handling plugins and collections. The work in the PR
helps align the SDK with dotnet nomenclature and structure.
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### Description
A `KernelPluginCollection` is introduced with an underlying
`DefaultKernelPlugin` and a `KernelPlugin` base class. Other code is
refactored to use this new `KernelPluginCollection` model which should
simplify how plugins are handled. Unit tests are added to test the new
functionality. Existing unit tests and integration tests, along with
kernel examples and notebooks were updated based on these changes.
Unlike before, we're requiring plugins to be defined with a name, which
removes the GLOBAL_PLUGIN constant name of "__GLOBAL_PLUGIN__". In some
senses, while creating a plugin or a function, a name may not be
provided and so a random name in the form of a plugin
(p_<random_ascii_chars>) or function (f_<random_ascii_chars>) is used.
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---------
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
Completes #4794.
Most of SK Python is written with async code; however, there were some
code paths that masked the underlying async code and made it look like a
sync function invoke. In reality, asyncio spun up event loops and
attempted to manage them properly. This becomes tricky when running a
Jupyter notebook as they have their own event loop.
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### Description
This PR removes the ability to call a kernel function synchronously.
Since the majority of the code base is written with async methods, and
to match dotnet, which is async, we're removing the sync function invoke
and its dependent code. Some Planners were also run synchronously --
these were updated to run asynchronously. Kernel examples, notebooks,
docs, and tests were updated accordingly.
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- [X] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
### Motivation and Context
Bump pyproject version for release. Update notebook package versions.
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### Description
Bump pyproject version for release. Update notebook package versions.
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- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄
### Motivation and Context
In preparation for a new release, need to bump pyproject and notebook
versions to the next minor version.
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### Description
Bump pyproject version to 0.4.6. Bump notebook sk versions to 0.4.6.
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raises no violations
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- [X] I didn't break anyone 😄
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
To better align with SK dotnet v1, Python skills have been renamed to
plugins. This removes the root samples skills directory as dotnet
supports the plugins and their configs. This the beginning of more work
to consolidate other files/names, per the backlog. I've run several
greps for files or file names containing "skill" (case insensitive), and
no results appear. Do alert if you find anything else that includes
"skill."
Fixes#3319
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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.
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### Description
This is a large, breaking change PR as the replacement of "skills" to
"plugins" affects many files. It was difficult to break this up into
smaller chunks without leaving the SK Python repo in a bad state for
some time. Other updates include:
- Prompt template has been updated to use `execution_settings`, which
aligns with dotnet, from the previous `completion` that Python used.
- AzureOpenAI/OpenAI function calling has been updated to match the
current versions of tools/tool_choice. Parsing messages in the open_ai
utils respects this as it now looks for tool_calls and it configures the
function_call with the id (new), name, and argument).
- File renames, where the filename used to contain "skill" will look
like new code, but it's the same code, just with "plugin" in the name.
- Kernel examples and notebooks have been tested and are working. Unit
tests and integration tests are passing.
<!-- Describe your changes, the overall approach, the underlying design.
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### 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 😄
---------
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
Bumping pyproject.toml to version 0.4.5 for a release. Updating the
package references in the Jupyter notebooks.
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### Description
Pre-release code updates.
<!-- Describe your changes, the overall approach, the underlying design.
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### 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 😄
---------
Co-authored-by: Evan Mattson <[email protected]>
Co-authored-by: Eduard van Valkenburg <[email protected]>
### Motivation and Context
Fixes#4483. Invoking native functions doesn't require 3 params, but
rather 2.
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### Description
Specify the coroutine for a native function to only take the context,
unlike the semantic invoke that takes context and settings. Black
formatting Jupyter notebooks.
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### 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 😄
---------
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
Bump Python Package version for release. Update notebook refs and
request settings to use the new AIRequestSettings classes. Fix hugging
face bug that requires generator input as text_inputs instead of prompt.
Add a hugging face request settings unit test.
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### Description
Bump Python Package version for release. Update notebook refs to point
to new package version.
<!-- 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 😄
---------
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
Bump python package for a release. Update notebook package refs to 0.4.3
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### Description
Bumping for a release so that notebooks can reference the latest release
that contains some fixes.
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### 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 😄
---------
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
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### Description
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https://github.com/microsoft/semantic-kernel/issues/3897
In this PR, I updated the notebooks to use the latest version of the
python SDK.
To make the notebooks work, I need to:
1. Use keyword arguments
2. Change the default value in the `ContextVariables` from `int/float`
to `str`
3. Update `TextMemorySkill`
4. Update some inputs, such as `ChatMessage`
I have noted some inconsistency issues in the
https://github.com/microsoft/semantic-kernel/issues/3897
### 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 😄
---------
Co-authored-by: Huijing Huang <[email protected]>
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
Solve confusion due to hardcoded Azure OpenAI Service deployment name in
Python notebooks.
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### Description
Previously, the deployment name for Azure OpenAI Service in the Python
notebooks was hardcoded as "gpt-35-turbo".
This PR solves the confusion by using the `deployment` variable loaded
from `.env` file.
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### Contribution Checklist
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- [ ] 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 😄
### Description
<!-- Update semantic kernel version used in dotnet and python notebook
respectively! -->
---------
Co-authored-by: newton.mallick <[email protected]>
Co-authored-by: Mollie Munoz <[email protected]>
Co-authored-by: Lee Miller <[email protected]>
### Motivation and Context
text-davinci-003 is being retired by Azure OpenAI and is no longer
supported for new deployments
Resolves - https://github.com/microsoft/semantic-kernel/issues/2309
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### Description
Update examples and notebooks to use gpt-35-turbo / gpt-3.5-turbo
instead
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### 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 😄
Signed-off-by: karthikmurali60 <[email protected]>
Co-authored-by: Lee Miller <[email protected]>
Co-authored-by: Gil LaHaye <[email protected]>