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Ben Thomas
b0b3fd151c
* Adding design documents and data flow descriptions for sub-workflows * Updating docs. * Sub-workflow implementation #1. Stuck because of singleton RequestInfoExecutor, going to make a change to remove that restrivtion. * Removed the singleton restriction on RequestInfoExecutor so enable sub-workflows. * Scenarios seem to be working. * Sample improved. * going to have intern add generic response wrappers. * Wrapped responses working. * Non-hardcoded routing is working. * Sample showing external approved and not approved. * Cleaning up. * Updating some samples and user guide. * Removing old design doc. * Cleaning up. * Adding python-package-setup.md back. * Update python/packages/workflow/agent_framework_workflow/_executor.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/workflow/agent_framework_workflow/_validation.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Removing prints. * Fixing lint and type issues. * Fixing lint and type issues. * Update python/packages/workflow/agent_framework_workflow/_executor.py Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com> * Adding type hints to intercepts decorator. * Removing unused files. * Fixing issue with sample 5 groupchat with hil. * Removing redundent samples. * Updates to ensure no conflicting request interceptors and to support a subflow with multiple requests in a single super step. * Fixing pypi errors. * clean up samples * update samples to make it more clear * warning for unhandled request info from sub workflow * add logger info --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
b0b3fd151c
·
2025-08-23 03:21:37 +00:00
197 Commits
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
- Getting Started with Agents: basic agent creation and tool usage
- Chat Client Examples: direct chat client usage patterns
- Azure Integration: Azure OpenAI and AI Foundry integration
- Getting Started with Workflows: basic workflow creation and integration with agents
.Net
- Getting Started with Agents: basic agent creation and tool usage
- Agent Provider Samples: samples showing different agent providers
- Orchestration Samples: advanced multi-agent patterns
- Getting Started with Workflows: (Coming soon) basic workflow creation and integration with agents
Agent Framework Documentation
- Agent Framework Repository
- Design Documents
- Architectural Decision Records
- Learn docs are coming soon.