Python: Add Python sample demonstrating agent collaboration

[NiharikaKulkarni]

Motivation and Context

This change adds a simple, code-based Python sample that demonstrates how multiple AI agents can collaborate using Semantic Kernel.

While the repository contains introductory samples, there are limited examples focused specifically on agent-to-agent collaboration. This sample helps users understand how to structure basic agent workflows using clear, role-based interaction without modifying core library logic.

The example is intended for users who are new to agent-oriented design and want a minimal, readable reference they can adapt for experimentation.

Description

This PR introduces a new Python sample under python/samples that demonstrates agent collaboration using Semantic Kernel.

The sample defines two agents with distinct responsibilities:

• A Planner agent that decomposes a task into steps
• An Executor agent that executes the plan and produces a final response

The example is intentionally lightweight and self-contained, focusing on
clarity rather than advanced features. It follows existing sample structure
and does not introduce changes to the core SDK or APIs.

Contribution Checklist

• The code builds clean without any errors or warnings
• The PR follows the SK Contribution Guidelines
• All unit tests pass, and I have added new tests where possible
• I didn't break anyone 😄

[NiharikaKulkarni]

Any updates on the review?

[moonbox3]

Hi @NiharikaKulkarni, thank you for your contribution. Current feature focus is on SK's successor SDK - Microsoft Agent Framework. Please have a look at the repo if you haven't already. https://github.com/microsoft/agent-framework