### Motivation and Context
Semantic Kernel Python currently has a demo showing how to interact with
a Copilot Studio Agent; however, that uses the `DirectLine API`. This PR
introduces a Semantic Kernel `CoilotStudioAgent` that leverages the
team's new `microsoft.agents.copilotstudio.client`. One must first have
a Copilot Studio Agent created via the portal; and once ready, they can
reference it with the proper App Registration and Agent metadata.
Interacting with the Agent can leverage Microsoft Copilot Studio's
knowledge sources and internal tools.
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### Description
Add support for the `CopilotStudioAgent`.
- Provide getting started samples
- Introduces a detailed README on what is required for setup and
interacting with the agent.
- The current version of the `CopilotStudioAgent` does not support
calling another Copilot Studio Agent via a skill.
- Authentication for the agent is limited to interactive right now. Once
service-to-service auth is support via the client, we will add this into
SK.
- Closes#11607
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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
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Implements the OpenAI Realtime API with Semantic Kernel
### Description
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Adds a RealtimeClientBase
Adds RealtimeEvents
Adds OpenAI and Azure Realtime clients
Closes: #10108
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---------
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
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Based on insights from the graphrag team, several bug fixes related to
data and model validators.
### Description
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For all cases of model_validator in before mode, there is no guarantee
that the data passed is a dict,
especially when a model is used as a field in another model, then a
string is passed to the before validator.
So in those cases we check before doing logic, otherwise just pass it on
and let Pydantic handle the invalid data.
Some small logic fixes in the vector store model decorator:
- updated docstring with the right exceptions
- additional checks on attributes
- additional checks on VectorFields with tests
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added unit tests to up the test coverage across the data folder
Also redoes exceptions for everything vector.
This does introduce some breaking changes on the exceptions returned by
the different methods for vector stores, they are still marked
experimental and this will go a long way in moving towards release.
Closes#9485
### Description
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### Motivation and Context
In addition to the Python local process runtime, we're adding the
ability to congfigure the Dapr runtime for Python SK processes.
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### Description
The PR introduces:
- The ability to configure the Dapr Runtime for Python processes
- Adds a sample FastAPI app showing how to configure the Dapr runtime
with a sample SK Python process (see the README for details on setup)
- Adds some unit test coverage for the Dapr runtime
- Closes#9355
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- [X] I didn't break anyone 😄
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Adds vectorized search and text search to the In Memory connector.
### Description
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---------
Co-authored-by: Tao Chen <[email protected]>
### Motivation and Context
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This PR does the following things:
- Introduces TextSearch abstractions, including implementation for Bing
- This consists of the TextSearch class, which implements three public
search methods, and handles the internals, the search methods are:
'search' returns a string, 'get_text_search_results' returns a
TextSearchResult object and 'get_search_results' returns a object native
to the search service (i.e. BingWebPages for Bing)
- This also has a method called "create_{search_method}' which returns a
KernelFunction based on the search method. This function can be adapted
by setting the parameters and has several adaptability options and
allows you to create a RAG pipeline easily with custom names and
descriptions of both the functions and the parameters!
- Introduces VectorSearch abstractions, including implementation for
Azure AI Search
- This consists of a VectorStoreBase class which handles all the
internal and three public interfaces, vectorized_search (supply a
vector), vectorizable_text_search (supply a string that get's vectorized
downstream), vector_text_search (supply a string), each vector store
record collection can pick and choose which ones they need to support by
importing one or more next to the VectorSearchBase class.
- Introduces VectorStoreTextSearch as a way to leverage text search
against vector stores
- Since this builds on TextSearch this is now the best way to create a
super powerfull RAG setup with your own data model!
- Adds all the related classes, samples and tests for the above.
- Also reorders the data folder, which might cause some slight breaking
changes for the few stores that have the new vector store model.
- Adds additional IndexKinds and DistanceFunctions to stay in sync with
dotnet.
- Renames VolatileStore and VolatileCollection to InMemoryVectorStore
and InMemoryVectorCollection.
Closes#6832#6833
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- [ ] I didn't break anyone 😄
---------
Co-authored-by: Tao Chen <[email protected]>
### Motivation and Context
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Learn Site Resources for Agent Framework docs
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Resources and code associated with examples
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---------
Co-authored-by: Evan Mattson <[email protected]>
### Motivation and Context
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Turns out we had a mistake in the way CMC discriminates content types,
this PR fixes that
### Description
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Adds discriminator field to the item in the list rather then the list
itself
Adds additional tests
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### Motivation and Context
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Switches from poetry to uv
much faster and easier lock management
easier maintenance of pyproject.toml
fixes: #6584fixes: #8326
### Description
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- [ ] I didn't break anyone 😄
### Motivation and Context
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Updated all flagged packages by dependabot and reverted a earlier to
change to running tests in paralel by default, now only done directly in
integration tests.
### Description
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- [x] I didn't break anyone 😄
### Motivation and Context
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Adds pytest-xdist to parallelize tests, defaults to logical cores
Adds single test for Kernel to validate.
### Description
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- Added static code checking to pre-commit (check-ast and
nbqa-check-ast)
- Added Bandit security checking to pre-commit
- Added pre-commit step to python-lint workflow, if it works, can delete
seperate mypy, ruff and black tests
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This pull request primarily updates the `DEV_SETUP.md` and `README.md`
files in the `python` directory. The changes focus on improving the
setup instructions, updating the code snippets, and providing additional
information on running tests, code coverage, and keeping the local
repository up-to-date.
Changes to setup instructions:
*
[`python/DEV_SETUP.md`](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cR75-R90):
Added instructions on how to use Python 3.11 with Poetry, how to install
pre-commit hooks, and how to run tests using VSCode Tasks.
[[1]](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cR75-R90)
[[2]](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cR112-R114)
[[3]](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cR131-R133)
[[4]](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cL287-R252)
Code snippets updates:
*
[`python/DEV_SETUP.md`](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cL140-L227):
Updated the code snippets to reflect the latest changes in the codebase.
This includes changes in the use of Pydantic and the use of
KernelBaseModel.
[[1]](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cL140-L227)
[[2]](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cL244-R177)
*
[`python/README.md`](diffhunk://#diff-217ed82f87b78b399e304b07a159b27dff327c0f83adf4a2fc30b03bcbf84b01L58-R66):
Updated the code snippet to reflect the change in getting request
settings from a service ID.
Additional information:
*
[`python/DEV_SETUP.md`](diffhunk://#diff-22a026622159be328328c5bb6fef874e8aa799efb6ab8844d0c94ad051b08f3cL287-R252):
Added information on how to run code coverage, how to keep the local
repository up-to-date, and how to resolve conflicts after a rebase.
*
[`python/README.md`](diffhunk://#diff-217ed82f87b78b399e304b07a159b27dff327c0f83adf4a2fc30b03bcbf84b01R7-R14):
Added instructions on how to install optional dependencies.
### Motivation and Context
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Fixed all mypy errors for kernel.py
In preparation of extending that to all files in semantic_kernel
Also got the pre-commit hook working on a commit, with mypy checks
fixes#5630
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Moved pre-commit-config to base folder, can now be extended to have
specific hooks for other languages
fixed things in kernel.py to satisfy mypy
used assert for some things, so that they can be skipped when running in
-o mode.
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To further make the SK python robust and make it easier to get
high-quality PRs, some work on the pre-commit-config.yaml and adding a
mypy settings ini.
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Added two steps to the pre-commit-config, the first for pypy, the second
for tests with coverage.
Over time we want to mandate these checks to run against a PR before it
goes to github, that will also reduce the number of ruff and black fix
commits, and non-passing unit tests.
Added a mypy.ini, currently all but the root folder is excluded, so that
we can gradually introduce mypy coverage, did the first pieces in
kernel.py, including switch to new style annotations (using from
`__future__ import annotations`) in Kernel.
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Since Python 3.12 is now released we should test with it. In the fall
3.8 will be out of support so then we should remove support for that.
Since Numpy no longer support py 3.8 as of
[1.25](https://numpy.org/doc/stable/release/1.25.0-notes.html) we pin
that for py3.8, including other packages that depend on older version of
numpy for py3.8, and allow the new versions to work against newer
version of python.
Closes#5144
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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.
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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
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---------
Co-authored-by: Evan Mattson <[email protected]>
Co-authored-by: Evan Mattson <[email protected]>
Co-authored-by: Evan Mattson <[email protected]>
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3. What scenario does it contribute to?
4. If it fixes an open issue, please link to the issue here.
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As we button down the python version, making some improvements in the
settings and with that come some updates.
### Description
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- Moved cspell config from settings to .cspell.json file and added
missing words.
- Some fixes in typing: final -> Final[str]
- Some other small fixes coming from turning on pyright.
### 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 😄
### Motivation and Context
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To improve the code and PR quality I want to add code coverage to the
dev dependencies, and setup. I then also added tasks into the python
folder for both the pre-commit config and running unit tests with code
coverage. Fixes#3980
Initially I excluded code coverage for all connectors, that needs to be
refined and this can also be added to the GH actions once we have it
setup well.
### Description
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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 😄
### Motivation and Context
Replaces: https://github.com/microsoft/semantic-kernel/pull/3074
This PR adds the User-Agent header "Semantic Kernel" to calls made to
OpenAI/Azure OpenAI and OpenAPI calls.
### Description
* Addition of telemetry.py file containing telemetry constants
* ability to disable Azure/OpenAI telemetry with an environment variable
called AZURE_TELEMETRY_DISABLED
### 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: Devis Lucato <[email protected]>
### Motivation and Context
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I built support for function calling into SK!
Related to/fixes:
- #2315
- #2175
- #1450
### Description
<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
This implementation builds on top of all the existing pieces, but did
require some major work, so feel free to comment on where that is or is
not appropriate.
- Added a `ChatMessage` class to capture the relevant pieces of function
calling (name and content)
- Added a `complete_chat_with_functions_async` into
OpenAIChatCompletions class
- Added a `function_call` field to ChatRequestSettings class
- Added several helper functions and smaller changes
- Added a sample with updated core_skill that uses function calling to
demonstrate
- Added a second sample that shows how to use function_calling with
non-sk functions.
### 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: Abby Harrison <[email protected]>
### Motivation and Context
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I noticed multiple times that I was getting failed tests because Black
did not run.
Changed the settings to make black the default formatter, in line with
the checks.
### Description
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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 😄