.Net: Sample Demo Code Showcasing Usage of Reasoning Models

[joslat]

Motivation and Context

1. Required: showing usage of reasoning effort.
2. Problem: Controlling reasoning effort - no sample
3. Scenario: Using reasoning effort to benefit from the new amazing models :)

Description

This pull request adds sample demo code that demonstrates how to leverage reasoning models by using a AgentBase class that implements this support nicely.
The new implementation allows agents to specify a reasoning effort level (Low, Medium, High) that is applied to the OpenAIPromptExecutionSettings when invoking Semantic Kernel.

The PR includes three demo agents:

• SmartBlogPostAgent (Low Reasoning): Generates an analytical blog post on Semantic Kernel.
• PoemAgent (Medium Reasoning): Composes a creative poem about Semantic Kernel.
• CodeExampleAgent (High Reasoning): Provides a sample C# code snippet demonstrating Semantic Kernel integration.

Additionally, a comprehensive README.md has been added with configuration instructions (using User Secrets or environment variables), guidance on setting the project as the default startup, and how to run the demo.

This implementation not only enhances our agentic AI capabilities but also complements the phenomenal code from Roger Barreto (@RogerBarreto), further strengthening Semantic Kernel overall solution.

Contribution Checklist

• The code builds clean without any errors or warnings
• The PR follows the SK Contribution Guidelines and the pre-submission formatting script raises no violations
• All unit tests pass, and I have added new tests where possible
• I didn't break anyone 😄

[joslat]

@RogerBarreto I saw there was no sample, so "giving back" a bit ;)
Also, what do you think of the example use cases? Would you change/adjust them to properly use the "reasoning effort"?

[RogerBarreto]

Thanks for the sample and contribution @joslat.
I'm tagging @crickman as one of our Agent expert to have a look in the demo and comment. As we are approaching GA on the agents would be interesting to have your optinion and changes that bring a good Agent with latest reasoning capabilities to our Demo collections.

[joslat]

@RogerBarreto & @crickman any feedback? :)
If not, I think it fits the quality gate so we could approve, after all it's an example on "how to use the new reasoning effort parameter", that's all ;)

[crickman]

Thanks for the sample and contribution @joslat. I'm tagging @crickman as one of our Agent expert to have a look in the demo and comment. As we are approaching GA on the agents would be interesting to have your optinion and changes that bring a good Agent with latest reasoning capabilities to our Demo collections.

@RogerBarreto - The core of the demo isn't really agent specific. I've recommended to @joslat that it be refactored as a focused sample.

[joslat]

@crickman I think this is it, simplest implementation possible as a concept sample, ChatCompletion only.
Unsure about the configuration stuff, there I need guidance-support though. The rest is done.