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Korolev Dmitry
6ec21859cf
* add timeout handling for message send * prepare a2a proj * fix it finally * add a holder for selected protocol * init types ; * see discoveredAgentCardJson * prettify json * correct usage * client setup for card * setp? * message:send * init task based communication * try call it via the agent thread * okay i got back the message wooooow! * nit * fix duplicates * yea matey! * fix knights-knaves for A2A-Task-based communication * fix a2a agents csproj * AI feedback * a2a does not support netstandard / netfx * try fix build + refactor * bump a2a for net9 only * rollback System.Net.ServerSentEvents & Microsoft.Bcl.AsyncInterfaces version upgrade; override in-place and retarget to net9;net8 for A2A * address PR comments x1 * refactor a2a interfaces * address PR comments x2 * fix cancel usage * separate project for A2A.AspNetCore * simplify * cleanup * cleanup dependencies * generate convertor tests / fix namespaces etc * setup actor client! * fix build * backoff conversations * fix duplicate message streaming * address PR comments x1 * remove internalsvisibleto * dont implement agent card query on my own: give it to the user * nit * rename and move projects * fix dotnet-format * address PR comments x1 * remove unreferenced project * rollback * rename * nit --------- Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
6ec21859cf
·
2025-08-25 11:14:55 +00:00
199 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.