Python: Add dynamic agent creation example

[Ravinduprasath]

Title

Add dynamic multi-agent concurrent analysis example

Description

This PR adds a sample demonstrating dynamic creation of multiple agents for concurrent data processing and result aggregation.

The example illustrates:

• Parallel chunk processing using dynamically created analyst agents
• Concurrent execution with asyncio.gather()
• Coordination between multiple agents and an aggregator agent
• Graceful error handling in a multi-agent workflow

This sample is intended as a reference implementation for users who want to understand scalable, concurrent agent patterns using the framework.

Impact

Documentation/example only
No breaking changes
No changes to core framework logic

[Ravinduprasath]

@microsoft-github-policy-service agree

[Ravinduprasath]

Thanks! CLA is signed. Happy to make any requested changes.

[moonbox3]

Hi @Ravinduprasath, thanks for contributing this sample.

We appreciate the effort here, but the pattern you're demonstrating (parallel chunk processing with aggregation) is already covered by existing samples in our workflows/ getting_started folder that use the framework's built-in orchestration primitives:

• concurrent_agents.py - fan-out/fan-in using ConcurrentBuilder
• fan_out_fan_in_edges.py - parallel branching with WorkflowBuilder
• map_reduce_and_visualization.py - map-reduce pattern with chunked processing

These samples demonstrate the recommended approach: using ConcurrentBuilder, WorkflowBuilder, and the framework's edge system rather than manual asyncio.gather() loops. We want our getting_started/ samples to guide developers toward the framework's orchestration constructs rather than working around them.

If you're interested in contributing, we'd welcome PRs that:

• Improve or extend the existing workflow samples
• Add documentation or clarify existing patterns
• Address open issues

Thanks again for your interest in the project.