The Python implementation of Semantic Kernel provides a structured approach to building AI-powered applications by combining the capabilities of LLMs with traditional software development patterns.

The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO), offering modularity and cloud-deployable execution.