### Motivation and Context

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There has been a strong demand from developers in the community to be
able to utilize Bedrock with the Semantic Kernel. With the wide variety
of foundation models offered including specialized models tailored for
various domains and use cases, Bedrock's AI capabilities can now be
leveraged within the Semantic Kernel's unified ecosystem with this
connector.

### Description

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These notes will help understanding how your code works. Thanks! -->

This pull request implements a connector for Amazon Bedrock, allowing
developers to leverage Bedrock's foundation models within the Semantic
Kernel framework. Key features of this implementation include:
- Core Services: Implementation of `IChatCompletionService` and
`ITextGenerationService` from the Semantic Kernel.
- Authentication and Security: Secure client authentication and API
communication with the Amazon Bedrock Runtime.
- Modular Design: A directory organization and namespace structure
similar to other connectors in the Semantic Kernel, including folders
for core, services, models, and extensions.
- Testing: Inclusion of unit tests and integration tests for available
Bedrock models to demonstrate successful communication with Bedrock API,
request/response mapping, and output generation.

The implementation leverages the following Amazon Bedrock Runtime
actions:
- `InvokeModelAsync` and `InvokeModelWithResponseStreamAsync` for
`GetTextContentsAsync` and `GetStreamingTextContentsAsync`,
respectively.
- `ConverseAsync` and `ConverseStreamAsync` for
`GetChatMessageContentsAsync` and
`GetStreamingChatMessageContentsAsync`, respectively.

The following base models from various providers are currently connected
and available for use under Bedrock:
- AI21 Labs Jamba
- AI21 Labs Jurassic-2 series
- Amazon Titan
- Anthropic Claude
- Cohere Command
- Meta Llama 3
- Mistral AI Mistral

The kernel builder extension methods support two authentication
scenarios:
- User-provided `IAmazonBedrockRuntime` object: Developers can provide a
pre-configured `IAmazonBedrockRuntime` object, allowing for customized
configurations such as specifying custom credentials, endpoints, or
other settings.
- Automatic `IAmazonBedrockRuntime` creation: If developers do not
provide an `IAmazonBedrockRuntime` object, an instance is automatically
created and registered in the dependency injection (DI) container using
the `AWSSDK.Extensions.NETCore.Setup` package. In this case, the
`IAmazonBedrockRuntime` object will be configured with default settings,
such as credentials obtained from environment variables, AWS credentials
files, or instance profile credentials.

Resolve #3094
Resolve #4335
- #3094
- #4335

### 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 😄

---------

Co-authored-by: Charlize Yeh <[email protected]>
Co-authored-by: Roger Barreto <[email protected]>
Co-authored-by: Roger Barreto <[email protected]>