Back to Ecosystem Pulse
ToolReference
spec-to-agents
by microsoft
Reference multi-agent event-planning workflow combining AutoGen patterns and Semantic Kernel
Python
Updated Jun 12, 2026
Share:
Summary
Implements a multi-agent event planning workflow using the Microsoft Agent Framework and AutoGen agent coordination. Combines AutoGen-style multi-agent patterns with enterprise orchestration primitives to coordinate specialists, manage state, and route tasks. Notable for showing how to blend Semantic Kernel's connectors and orchestration hooks for practical enterprise scenarios.
Key Benefits
As agents coordinate more complex, delegated workflows, concrete reference implementations make it easier to reason about trust, failure modes, and observability. This repo provides a practical blueprint for instrumenting instrumenting multi-agent flows so teams can capture interaction logs, role responsibilities, and decision points—essential signals for agent-to-agent evaluation and tracking.
Ideal For
Engineers prototyping enterprise multi-agent orchestration who want a concrete reference combining AutoGen coordination and Semantic Kernel connectors.
How It's Used
- Prototype coordinated specialist agents for event planning and task handoffs
- Instrument agent interactions to capture logs and decision points for later evaluation
- Learn how to combine AutoGen multi-agent patterns with Semantic Kernel connectors in production-like code
Works With
autogensemantic-kernelazure-ai-foundrypythonmicrosoft-agent-framework
Topics
agent-frameworkautogenazure-ai-foundrysemantic-kernel
Similar Tools
autogencrewai
Keywords
multi-agent orchestrationmulti-agent trustagent delegationautogen