### Motivation and Context
The Copilot Studio agent exposed a `SERVICE` authentication mode that
was never reachable — it was guarded to always raise before its
implementation ran. Its dormant credential handling also triggered
certificate-related static analysis alerts.
### Description
Removes the service authentication path along with its settings,
parameters, tests, and documentation. `CopilotStudioAgentAuthMode` is
kept with its `INTERACTIVE` member, which is the only supported mode.
Interactive authentication is unchanged.
Service authentication can be reintroduced later as a complete, tested
feature.
### Contribution Checklist
- [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)
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- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄
---------
Copilot-Session: 25dd6e2a-f759-4148-a630-40110e90eff2
### Motivation and Context
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Closes#12970, #13352
### Description
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1. Migrate Google AI connector to use the new Google AI SDK.
2. This PR also marks the VertexAI connector as deprecated in favor of
the Google AI connector. With this update, if users wants to connect to
a VertexAI project instead of a Google AI endpoint, they can do so with
the Google AI connector.
3. This PR also adds the ability for users to provide a custom client to
the Google AI connector (#13352).
4. This PR also marks `AzureTextCompletion` deprecated.
### Contribution Checklist
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- [ ] I didn't break anyone 😄
### Motivation and Context
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Enables developers to use NVIDIA's chat models through Semantic Kernel
with structured output support.
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3. What scenario does it contribute to?
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This change adds chat completion support with structured output to the
existing NVIDIA connector, enabling developers to use NVIDIA's chat
models through Semantic Kernel while building conversational AI
applications that require structured, validated responses. The connector
will support more model types iteratively, with future PRs introducing
VLM models and additional capabilities.
### Description
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- New Chat Completion Service:
`NvidiaChatCompletion`: Chat completion service following same structure
as other connectors
- Extends existing NVIDIA embedding connector patterns and architecture
- Custom logic for handling structured output specific to NVIDIA models
- Enhanced Configuration:
`NvidiaChatPromptExecutionSettings`: Chat-specific settings following
existing connector patterns
### Contribution Checklist
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### Motivation and Context
The Python README file is a bit stale, and lacking current content
related to agent framework and directly calling the AI service (not
always needing to invoke via the kernel). Additionally, there are links
to samples/notebooks that are relative and thus not resolving from pypi.
The [`ALL_SETTINGS.md`
guide](https://github.com/microsoft/semantic-kernel/blob/main/python/samples/concepts/setup/ALL_SETTINGS.md#semantic-kernel-settings)
is also missing the Agent Framework settings used. Adding those in this
PR.
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### Description
Improve the README to be more relevant.
- Closes#12286
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### Contribution Checklist
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- [X] I didn't break anyone 😄
### Motivation and Context
This PR adds an Nvidia Embedding Connector. This connector enables
integration with NVIDIA NIM API for text embeddings. It allows you to
use NVIDIA's embedding models within the Semantic Kernel framework.
### Description
### Contribution Checklist
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---------
Co-authored-by: Lakshmi Ramesh <[email protected]>
### Motivation and Context
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Closing: https://github.com/microsoft/semantic-kernel/issues/9910
### Description
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1. Add detailed instructions on how to setup one's environment to use
Bedrock services, including models and agents.
2. Re-enable bedrock integration tests.
3. Some other cleanups.
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- [x] I didn't break anyone 😄
### Motivation and Context
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We need a README in the connectors/ai directory to list all the existing
AI connectors.
### Description
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### Contribution Checklist
1. Add a README
2. Refactor some connector package paths
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- [x] I didn't break anyone 😄
### Motivation and Context
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Addresses: https://github.com/microsoft/semantic-kernel/issues/7433
### Description
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Add text to audio interface to Python Semantic Kernel.
### Contribution Checklist
1. Text-to-audio client base.
2. OpenAI and Azure OpenAI implementations of the client.
3. Unit tests and integration tests.
4. Samples.
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- [x] I didn't break anyone 😄
### 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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### Motivation and Context
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Clarify the names and uses of the environment variables and pydantic
settings.
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SergeyMenshykh