Eric Zhu 2133043f11 Python: [Breaking] Remove WorkflowCompletedEvent, introduce workflow output and migrate to ctx.yield_output() + a huge refactoring (#845)
* Introduce input and output types for executor and workflow

* WorkflowOutputContext handles two types

* Remove can_handle_types from Executor

* Update validation

* Move workflow executor

* Move workflow executor

* Fix issues in WorkflowExecutor

* refactor executor

* update execute signature to create workflow context within Executor

* fix simple sub workflow test; fix validation

* fix output types in WorkflowExecutor

* fix issue in Executor handling of SubWorkflowRequestInfo

* update tests to use proper workflow output

* update orchestration patterns to use output

* Update sample -- not finished

* Update python/packages/main/tests/workflow/test_workflow_states.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/main/tests/workflow/test_concurrent.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* address comments

* WorkflowOutputContext --> WorkflowContext

* remove WorkflowCompletedEvent

* update samples

* Update doc string for important classes; update WorkflowExecutor to support concurrent execution

* use Never instead of None for default type

* Update usage of WorkflowContext[None to WorkflowContext[Never

* address comments

* remove filter for None

* address comments, minor fixes

* quality of life improvement on interceptor types

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2133043f11 · 2025-09-23 20:52:53 +00:00
388 Commits
2025-09-23 15:10:06 +00:00
2025-04-28 12:54:43 -07:00
2025-04-28 12:54:42 -07:00
2025-09-02 12:18:12 +00:00

Microsoft Agent Framework

Welcome to the Private Preview of Agent Framework!

You're getting early access to Microsoft's comprehensive multi-language framework for building, orchestrating, and deploying AI agents with support for both .NET and Python implementations. This framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration.

📋 Important Setup Information

Package Availability: Public PyPI and NuGet packages are not yet available. You have two options:

Option 1: Run samples directly from this repository (no package installation needed)

  • Clone this repository
  • For .NET: Run samples with dotnet run from any sample directory (e.g., dotnet/samples/GettingStarted/Agents/Agent_Step01_Running)
  • For Python: Run samples from any sample directory (e.g., python/samples/getting_started/minimal_sample.py) after setting up the local dev environment following this guide.

Option 2: Install packages in your own project

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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.

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