Tao Chen ed86baa6cb Python: Workflow Edge Groups (#393)
* Introducing edge groups

* Add conditional and partitioning edge groups; next add samples and tests

* Add unit tests

* Add samples

* Address comments 1

* Address comments 2

* Update conditional edge group to take in cases and default

* Minor updates to sample

* Collapsing Paritioning Edge group and Conditional Edge group to source edge group

* Improve sample clarity

* Name consolidation

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Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
ed86baa6cb · 2025-08-15 18:11:35 +00:00
178 Commits
2025-08-05 14:39:24 +00:00
2025-04-28 12:54:43 -07:00
2025-04-28 12:54:42 -07:00
2025-04-28 12:54:43 -07:00

Microsoft Agent Framework

Highlights

  • Flexible Agent Framework: build, orchestrate, and deploy AI agents and workflows
  • Multi-Agent Orchestration: group chat, sequential, concurrent, and handoff patterns
  • Graph-based Workflows: connect agents and deterministic functions using data flows with streaming, checkpointing, time-travel, and Human-in-the-loop.
  • Plugin Ecosystem: extend with native functions, OpenAPI, Model Context Protocol (MCP), and more
  • LLM Support: OpenAI, Azure OpenAI, Azure AI Foundry, and more
  • Runtime Support: in-process and distributed agent execution
  • Multimodal: text, vision, and function calling
  • Cross-Platform: .NET and Python implementations

Below are the basics for each language implementation. For more details on python see here and for .NET see here.

More Examples & Samples

Python

.Net

Agent Framework Documentation

Languages
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C# 45.8%
TypeScript 2.7%
HTML 0.2%
PowerShell 0.1%
Other 0.1%