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* openai updates * rebuild of openai structure * updated responses structure * renamed sample * added file id support to code interpreter * added hosted file ids to code interpretor * mypy fixes * removed default az cred from codebase * updated agent name setup * added kwargs to entra methods * and further kwargs * extra comment * updated all samples * readded custom get methods for responses * updated int tests with ad credential * missed one
df9d85d1f0
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2025-08-12 06:14:22 +00:00
165 Commits
Microsoft Agent Framework
Highlights
- Flexible Agent Framework: build, orchestrate, and deploy AI agents and multi-agent systems
- Multi-Agent Orchestration: Group chat, sequential, concurrent, and handoff patterns
- 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
.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
Agent Framework Documentation
- Agent Framework Repository
- Design Documents
- Architectural Decision Records
- Learn docs are coming soon.
Languages
Python
50.9%
C#
45.8%
TypeScript
2.7%
HTML
0.2%
PowerShell
0.1%
Other
0.1%